automotive-powertrain-chassis
pangzhenying2025/hermes-automotive-skills/skills/automotive-powertrain-chassis/SKILL.md
Automotive Powertrain Chassis expertise. Covers 7 topics: Abs Brake Systems, Ecm Engine Control, Eps Steering Systems, Esc Stability Control, Suspension Control.
Skill8 starsChanged 5 months ago
What's in it
- Automotive Powertrain Chassis
- Abs Brake Systems
- ABS/EBD Anti-lock Braking System Skill
- Overview
- Core Competencies
- 1. Wheel Slip Control
- 2. Pressure Modulation
- 3. Electronic Brake-force Distribution (EBD)
- 4. Regenerative Braking Coordination
- 5. Brake-by-Wire (BBW)
- Control Algorithms
- ABS Slip Control (Bang-Bang with Hysteresis)
- EBD Front/Rear Distribution
- Regenerative Braking Blending
- Brake Fade Compensation
- HIL Test Scenarios
- Test Case 1: ABS on Ice (Low-μ Surface)
- Test Case 2: Split-μ Braking Stability
- Test Case 3: Regenerative Braking Blend
- ISO 26262 Safety (ASIL-D)
- Safety Mechanisms
- CAN Signals (DBC)
- References
- Ecm Engine Control
- ECM/PCM Engine Control Module Skill
- Overview
- Core Competencies
- 1. Fuel Injection Control
- 2. Ignition System Control
- 3. Air-Fuel Ratio (AFR) Management
---
name: automotive-powertrain-chassis
description: >
Automotive Powertrain Chassis expertise. Covers 7 topics: Abs Brake Systems, Ecm Engine Control, Eps Steering Systems, Esc Stability Control, Suspension Control.
tags: [automotive, automotive-powertrain-chassis]
---
# Automotive Powertrain Chassis
## Abs Brake Systems
# ABS/EBD Anti-lock Braking System Skill
## Overview
Expert skill in Anti-lock Braking System (ABS) and Electronic Brake-force Distribution (EBD) development. Covers wheel slip control, pressure modulation, EBD algorithms, brake-by-wire, regenerative braking coordination, and brake fade compensation.
## Core Competencies
### 1. Wheel Slip Control
- **Target Slip Ratio**: 10-20% for optimal braking (peak μ on most surfaces)
- **Slip Calculation**: λ = (vwheel - vvehicle) / vvehicle
- **Control Modes**: Build-up, Hold, Release phases
- **Surface Adaptation**: Adjust control aggressiveness for dry/wet/ice
### 2. Pressure Modulation
- **Hydraulic Valve Control**: Inlet/outlet solenoids, return pump
- **PWM Frequency**: 10-20 Hz typical ABS cycling
- **Pressure Estimation**: No direct sensor, estimate from valve timing
- **Pedal Feel**: Minimize pulsation feedback to driver
### 3. Electronic Brake-force Distribution (EBD)
- **Dynamic Load Transfer**: Front/rear brake bias based on deceleration
- **Proportioning**: Prevent rear wheel lockup (stability)
- **Empty vs Loaded**: Adjust distribution based on vehicle weight
- **Trailer Detection**: Modify EBD for towing conditions
### 4. Regenerative Braking Coordination
- **Blending Control**: Seamless transition hydraulic ↔ regenerative
- **Regen Priority**: Max energy recovery while meeting brake demand
- **Pedal Feel**: Maintain consistent deceleration feel
- **Safety Backup**: Full hydraulic if electric system fails
### 5. Brake-by-Wire (BBW)
- **Electro-Mechanical Brakes (EMB)**: Electric caliper actuators
- **Decoupled Pedal**: Pedal feel simulator, no direct hydraulic link
- **Redundancy**: Dual ECUs, backup hydraulic circuit
- **Latency**: <100ms brake request to force application
## Control Algorithms
### ABS Slip Control (Bang-Bang with Hysteresis)
```c
typedef enum {
ABS_BUILD, // Increase pressure
ABS_HOLD, // Maintain pressure
ABS_RELEASE // Decrease pressure
} ABS_Phase_t;
typedef struct {
float wheel_speed_mps;
float vehicle_speed_mps;
float slip_ratio;
ABS_Phase_t phase;
uint16_t cycle_count;
} ABS_WheelController_t;
void ABS_WheelControl(ABS_WheelController_t *abs, float dt) {
// Calculate slip ratio
if (abs->vehicle_speed_mps > 0.1f) {
abs->slip_ratio = (abs->vehicle_speed_mps - abs->wheel_speed_mps) / abs->vehicle_speed_mps;
} else {
abs->slip_ratio = 0.0f;
}
// State machine for pressure modulation
switch (abs->phase) {
case ABS_BUILD:
// Normal braking: increase pressure
Hydraulic_OpenInletValve();
Hydraulic_CloseOutletValve();
// Transition to HOLD if slip exceeds threshold
if (abs->slip_ratio > SLIP_THRESHOLD_HIGH) { // 20%
abs->phase = ABS_HOLD;
}
break;
case ABS_HOLD:
// Hold current pressure
Hydraulic_CloseInletValve();
Hydraulic_CloseOutletValve();
// Transition to RELEASE if slip still increasing
if (abs->slip_ratio > SLIP_THRESHOLD_CRITICAL) { // 25%
abs->phase = ABS_RELEASE;
} else if (abs->slip_ratio < SLIP_THRESHOLD_LOW) { // 15%
abs->phase = ABS_BUILD;
}
break;
case ABS_RELEASE:
// Decrease pressure to reduce slip
Hydraulic_CloseInletValve();
Hydraulic_OpenOutletValve();
Hydraulic_ActivateReturnPump();
abs->cycle_count++;
// Transition to BUILD when slip decreases
if (abs->slip_ratio < SLIP_THRESHOLD_LOW) {
abs->phase = ABS_BUILD;
}
break;
}
}
```
### EBD Front/Rear Distribution
```c
float EBD_CalculateRearBrakeBias(float deceleration, float vehicle_mass, float cg_height) {
// Dynamic load transfer: Front axle load increases during braking
const float WHEELBASE = 2.7f; // m
const float STATIC_FRONT_LOAD = 0.60f; // 60% front static
// Load transfer to front axle
float dynamic_front_load = STATIC_FRONT_LOAD + (deceleration * cg_height / (GRAVITY * WHEELBASE));
dynamic_front_load = CLAMP(dynamic_front_load, 0.55f, 0.75f);
// Rear brake bias (inverse of front load)
float rear_bias = 1.0f - dynamic_front_load;
// Additional safety margin to prevent rear lockup
rear_bias *= 0.85f;
return CLAMP(rear_bias, 0.20f, 0.40f);
}
void EBD_ApplyDistribution(float total_brake_force, float deceleration) {
float rear_bias = EBD_CalculateRearBrakeBias(deceleration, VEHICLE_MASS, CG_HEIGHT);
float front_force = total_brake_force * (1.0f - rear_bias);
float rear_force = total_brake_force * rear_bias;
// Apply to each wheel (split left/right equally)
Hydraulic_SetPressure(WHEEL_FL, front_force / 2.0f);
Hydraulic_SetPressure(WHEEL_FR, front_force / 2.0f);
Hydraulic_SetPressure(WHEEL_RL, rear_force / 2.0f);
Hydraulic_SetPressure(WHEEL_RR, rear_force / 2.0f);
}
```
### Regenerative Braking Blending
```c
typedef struct {
float brake_pedal_force; // Driver demand (N)
float total_decel_target; // Target deceleration (m/s²)
float regen_decel_available; // Max regen from motor (m/s²)
float hydraulic_decel; // Hydraulic brake component
float regen_decel; // Regen brake component
} RegenBlending_t;
void RegenBraking_Blend(RegenBlending_t *regen) {
// Convert pedal force to deceleration demand
regen->total_decel_target = regen->brake_pedal_force / 50.0f; // N → m/s²
// Prioritize regen for energy recovery
regen->regen_decel = fmin(regen->total_decel_target, regen->regen_decel_available);
// Hydraulic makes up the difference
regen->hydraulic_decel = regen->total_decel_target - regen->regen_decel;
// Seamless transition: ramp regen, compensate with hydraulic
static float regen_prev = 0.0f;
float regen_rate = (regen->regen_decel - regen_prev) / DT;
if (fabs(regen_rate) > MAX_REGEN_RATE) {
// Regen changing too fast, compensate with hydraulic
regen->hydraulic_decel += regen_rate * 0.5f;
}
regen_prev = regen->regen_decel;
// Send commands
CAN_Send_RegenTorqueRequest(regen->regen_decel * VEHICLE_MASS * TIRE_RADIUS);
Hydraulic_SetDeceleration(regen->hydraulic_decel);
}
```
### Brake Fade Compensation
```c
// Compensate for brake pad temperature effects
float BrakeFade_Compensation(float brake_temp_celsius) {
// Friction coefficient drops at high temperature
// Typical: μ = 0.40 at 20°C, μ = 0.30 at 500°C
float mu_baseline = 0.40f;
float mu_degraded = 0.30f;
float temp_threshold = 300.0f; // °C
float temp_critical = 600.0f;
if (brake_temp_celsius < temp_threshold) {
return 1.0f; // No compensation needed
}
// Linear fade model between threshold and critical
float fade_factor = 1.0f - ((brake_temp_celsius - temp_threshold) / (temp_critical - temp_threshold)) * (1.0f - mu_degraded / mu_baseline);
fade_factor = CLAMP(fade_factor, 0.6f, 1.0f);
// Increase pedal pressure to maintain braking force
float compensation = 1.0f / fade_factor;
// Warning if severe fade detected
if (fade_factor < 0.75f) {
HMI_SetBrakeFadeWarning(true);
}
return compensation;
}
```
## HIL Test Scenarios
### Test Case 1: ABS on Ice (Low-μ Surface)
```yaml
test_id: ABS_001_ICE_BRAKING
objective: Prevent wheel lockup on slippery surface
preconditions:
- Vehicle speed: 60 kph
- Surface: Ice (μ = 0.15)
- Full brake pedal application
test_steps:
1. Apply 100% brake pressure
2. Monitor wheel speeds vs vehicle speed
3. Verify ABS cycling (10-15 Hz)
4. Measure stopping distance
pass_criteria:
- No wheel lockup (slip ratio <30%)
- Steering control maintained
- Stopping distance: <80 meters
- ABS activation within 100ms of slip detection
```
### Test Case 2: Split-μ Braking Stability
```yaml
test_id: ABS_002_SPLIT_MU
objective: Maintain directional stability on asymmetric friction
preconditions:
- Vehicle speed: 80 kph
- Left wheels: Dry asphalt (μ = 0.9)
- Right wheels: Wet asphalt (μ = 0.5)
test_steps:
1. Apply full braking
2. Monitor yaw rate (ESC coordinated)
3. Verify individual wheel ABS control
pass_criteria:
- Yaw rate: <3 deg/s deviation
- Vehicle tracks straight (±0.5m lateral deviation)
- Left wheels: Higher brake force than right
- No driver steering input required
```
### Test Case 3: Regenerative Braking Blend
```yaml
test_id: ABS_003_REGEN_BLEND
objective: Seamless hydraulic-regen coordination
preconditions:
- EV with regen capability
- Vehicle speed: 50 kph
- Battery SOC: 70% (regen available)
test_steps:
1. Apply 50% brake pedal
2. Monitor regen torque vs hydraulic pressure
3. Verify deceleration consistency
4. Simulate regen unavailable (low SOC)
pass_criteria:
- Regen prioritized: 80% of braking from electric motor
- Hydraulic makeup: Smooth transition if regen saturates
- Pedal feel: Consistent throughout (no jerk)
- Regen→hydraulic transition: <50ms
```
## ISO 26262 Safety (ASIL-D)
### Safety Mechanisms
- **Redundant Wheel Speed Sensors**: Dual-channel Hall sensors per wheel
- **Plausibility Checks**: Compare wheel speeds, detect sensor faults
- **Failsafe Brake**: Revert to manual hydraulic on ECU failure
- **Watchdog**: Independent external monitor, reset on timeout
## CAN Signals (DBC)
```dbc
BO_ 290 ABS_Status: 8 ABS
SG_ ABS_Active : 0|1@1+ (1,0) [0|1] "" ESC,HMI
SG_ WheelSpeed_FL : 8|16@1+ (0.01,0) [0|655.35] "m/s" ESC,PCM
SG_ WheelSpeed_FR : 24|16@1+ (0.01,0) [0|655.35] "m/s" ESC,PCM
SG_ WheelSpeed_RL : 40|16@1+ (0.01,0) [0|655.35] "m/s" ESC,PCM
SG_ WheelSpeed_RR : 56|16@1+ (0.01,0) [0|655.35] "m/s" ESC,PCM
```
## References
- UN ECE R13-H (ABS regulation)
- ISO 26262 (Functional Safety)
- SAE J2909 (ABS test procedures)
---
## Ecm Engine Control
# ECM/PCM Engine Control Module Skill
## Overview
Expert skill in Engine Control Module (ECM) / Powertrain Control Module (PCM) development for internal combustion engines. Covers fuel injection timing, ignition control, air-fuel ratio optimization, turbo boost control, variable valve timing (VVT), emissions control, and OBD-II diagnostics.
## Core Competencies
### 1. Fuel Injection Control
- **Multi-point Fuel Injection (MPFI)**: Sequential, batch, simultaneous injection strategies
- **Direct Injection (GDI/TFSI)**: High-pressure rail control, split injection, stratified/homogeneous modes
- **Injection Timing**: Crank angle-based timing, compensation for temperature, altitude
- **Pulse Width Modulation**: Injector driver control with dead-time compensation
### 2. Ignition System Control
- **Spark Timing Optimization**: MBT (Minimum advance for Best Torque) vs knock limit
- **Knock Detection**: Piezoelectric sensor processing, frequency domain analysis
- **Coil-on-Plug (COP)**: Individual coil dwell time control, energy optimization
- **Misfire Detection**: Crankshaft acceleration monitoring, OBD-II readiness
### 3. Air-Fuel Ratio (AFR) Management
- **Lambda Control**: Closed-loop with wideband O2 sensor (LSU 4.9 Bosch)
- **Stoichiometric Operation**: λ=1.0 for three-way catalyst efficiency
- **Lean Burn**: λ=1.3-1.5 for fuel economy (requires NOx aftertreatment)
- **Rich Operation**: λ=0.85-0.95 for maximum power, component protection
### 4. Turbocharger/Supercharger Control
- **Wastegate Control**: Electronic wastegate actuator, boost pressure regulation
- **Overboost Protection**: Pressure limiting, fuel cut-off, ignition retard
- **Compressor Surge Prevention**: Anti-surge valve control
- **Turbo Lag Mitigation**: Launch control, anti-lag systems
### 5. Variable Valve Timing (VVT)
- **Cam Phasing**: Hydraulic/electric cam phasers, intake/exhaust timing
- **Valve Lift Control**: Discrete multi-step or continuous variable lift
- **Optimization**: Torque curve shaping, emissions reduction, fuel economy
- **Cylinder Deactivation**: Selective cylinder shut-off for light load
### 6. Emissions Control Systems
- **Exhaust Gas Recirculation (EGR)**: Cooled/uncooled EGR valve control, NOx reduction
- **Three-Way Catalyst (TWC)**: Light-off temperature management, oxygen storage
- **Secondary Air Injection**: Cold-start emissions reduction
- **Evaporative Emissions (EVAP)**: Purge control, leak detection
### 7. OBD-II Diagnostics
- **Readiness Monitors**: Catalyst, EGR, EVAP, O2 sensor, misfire, fuel system
- **Freeze Frame Data**: Snapshot at DTC trigger
- **Malfunction Indicator Lamp (MIL)**: Illumination logic, two-trip detection
- **In-Use Performance Ratio (IUPR)**: Denominator/numerator tracking per SAE J1979
## Control Algorithms
### Fuel Injection Pulse Width Calculation
```c
// Fuel injection pulse width calculation
typedef struct {
float base_pulse_ms; // Base pulse from VE table
float lambda_target; // Target AFR (1.0 = stoich)
float lambda_actual; // Measured AFR from O2 sensor
float temp_correction; // Coolant/intake temp correction
float transient_comp; // Wall-wetting compensation
float battery_correction; // Voltage compensation
} FuelCalc_t;
float ECM_CalculateInjectionPulse(FuelCalc_t *calc, float maf_gs, float rpm) {
// Volumetric efficiency lookup (3D map: RPM x MAP)
float ve = VE_Table_Lookup(rpm, manifold_pressure);
// Stoichiometric fuel mass required (14.7:1 for gasoline)
float fuel_mass_mg = (maf_gs * 1000.0f) / (14.7f * calc->lambda_target);
// Convert to pulse width (injector flow rate)
float pulse_width = (fuel_mass_mg / injector_flow_rate_cc) + injector_dead_time;
// Apply corrections
pulse_width *= calc->temp_correction;
pulse_width *= calc->battery_correction;
pulse_width += calc->transient_comp; // Wall-wetting
// Lambda closed-loop correction
float lambda_error = calc->lambda_target - calc->lambda_actual;
static float lambda_integral = 0.0f;
lambda_integral += lambda_error * KI_LAMBDA * DT;
lambda_integral = CLAMP(lambda_integral, -0.2f, 0.2f);
float lambda_correction = 1.0f + (KP_LAMBDA * lambda_error) + lambda_integral;
pulse_width *= lambda_correction;
return CLAMP(pulse_width, 0.5f, 20.0f); // Pulse limits in ms
}
```
### Ignition Timing with Knock Control
```c
// Spark advance calculation with knock detection
typedef struct {
float base_advance_deg; // Base timing from map
float knock_retard_deg; // Accumulated knock retard
float coolant_adv_deg; // Coolant temp advance
float altitude_adv_deg; // Barometric compensation
} IgnitionTiming_t;
float ECM_CalculateSparkAdvance(IgnitionTiming_t *ign, float rpm, float load) {
// Base timing from 3D map (RPM x Load)
float spark_adv = SparkMap_Lookup(rpm, load);
// Knock detection and retard
if (Knock_Detected()) {
ign->knock_retard_deg += KNOCK_RETARD_STEP_DEG; // 2-3° per event
ign->knock_retard_deg = CLAMP(ign->knock_retard_deg, 0.0f, 15.0f);
} else {
// Slowly recover advance (0.5°/second)
ign->knock_retard_deg -= KNOCK_RECOVERY_RATE * DT;
ign->knock_retard_deg = MAX(ign->knock_retard_deg, 0.0f);
}
// Apply corrections
spark_adv += ign->coolant_adv_deg; // Cold engine needs more advance
spark_adv += ign->altitude_adv_deg; // High altitude needs more advance
spark_adv -= ign->knock_retard_deg; // Subtract knock retard
// Safety limits
return CLAMP(spark_adv, -10.0f, 45.0f);
}
// Knock detection using FFT on sensor signal
bool Knock_Detected(void) {
// Read knock sensor (piezoelectric accelerometer)
float knock_signal[128];
ADC_ReadKnockSensor(knock_signal, 128);
// Bandpass filter (5-15 kHz typical knock frequency)
BandpassFilter(knock_signal, 128, 5000, 15000);
// FFT magnitude at knock frequency
float knock_magnitude = FFT_Magnitude(knock_signal, 128, KNOCK_FREQ_HZ);
// Compare against calibrated threshold
return (knock_magnitude > KNOCK_THRESHOLD);
}
```
### Turbo Boost Control (PID)
```c
// Electronic wastegate control for boost pressure
typedef struct {
float kp; // Proportional gain
float ki; // Integral gain
float kd; // Derivative gain
float integral; // Integral accumulator
float prev_error; // Previous error for derivative
} PID_Controller_t;
float Turbo_BoostControl(float target_boost_kPa, float actual_boost_kPa,
PID_Controller_t *pid, float dt) {
float error = target_boost_kPa - actual_boost_kPa;
// PID terms
float p_term = pid->kp * error;
pid->integral += error * dt;
pid->integral = CLAMP(pid->integral, -50.0f, 50.0f); // Anti-windup
float i_term = pid->ki * pid->integral;
float derivative = (error - pid->prev_error) / dt;
float d_term = pid->kd * derivative;
pid->prev_error = error;
// Wastegate duty cycle (0-100%)
float wastegate_duty = p_term + i_term + d_term;
wastegate_duty = CLAMP(wastegate_duty, 0.0f, 100.0f);
// Overboost protection
if (actual_boost_kPa > OVERBOOST_LIMIT_KPA) {
wastegate_duty = 100.0f; // Fully open wastegate
Fault_SetDTC(DTC_OVERBOOST);
}
return wastegate_duty;
}
```
### EGR Control
```c
// Exhaust Gas Recirculation control for NOx reduction
float EGR_CalculatePosition(float rpm, float load, float coolant_temp) {
// EGR disabled during cold start
if (coolant_temp < EGR_MIN_TEMP_CELSIUS) {
return 0.0f;
}
// Lookup desired EGR rate from map (RPM x Load)
float egr_target_percent = EGR_Map_Lookup(rpm, load);
// EGR valve position to achieve target dilution
// Uses MAF sensor feedback to measure actual EGR flow
float maf_no_egr = VE_Table_Lookup(rpm, manifold_pressure) * rpm;
float maf_actual = MAF_ReadFlowRate();
float egr_actual_percent = (1.0f - (maf_actual / maf_no_egr)) * 100.0f;
// PI controller for EGR valve
static float egr_integral = 0.0f;
float egr_error = egr_target_percent - egr_actual_percent;
egr_integral += egr_error * KI_EGR * DT;
float egr_position = (KP_EGR * egr_error) + egr_integral;
return CLAMP(egr_position, 0.0f, 100.0f);
}
```
## State Machine: Cold Start Sequence
```c
typedef enum {
COLD_START_CRANK,
COLD_START_PRIME,
COLD_START_FIRST_FIRE,
COLD_START_WARMUP,
COLD_START_CATALYST_HEAT,
COLD_START_NORMAL
} ColdStartState_t;
void ECM_ColdStartStateMachine(void) {
static ColdStartState_t state = COLD_START_CRANK;
switch (state) {
case COLD_START_CRANK:
// Fuel prime pulse (3x normal)
FuelPulse_Multiplier = 3.0f;
SparkAdvance_Offset = 5.0f; // Extra advance when cold
if (RPM_Get() > 400) {
state = COLD_START_FIRST_FIRE;
}
break;
case COLD_START_FIRST_FIRE:
// Rich mixture for first combustion cycles
Lambda_Target = 0.90f;
if (Combustion_Stable() && RPM_Get() > 600) {
state = COLD_START_WARMUP;
}
break;
case COLD_START_WARMUP:
// Elevated idle for faster warmup
IdleSpeed_Target = 1200;
// Secondary air injection for catalyst heating
SecondaryAir_Enable();
if (Coolant_Temp > 40.0f) {
state = COLD_START_CATALYST_HEAT;
}
break;
case COLD_START_CATALYST_HEAT:
// Retard spark to increase exhaust temp
SparkAdvance_Offset = -5.0f;
Lambda_Target = 0.95f; // Slightly rich
if (Catalyst_Temp > 300.0f) { // Light-off temp
state = COLD_START_NORMAL;
OBD_SetReadiness(CATALYST_MONITOR, READY);
}
break;
case COLD_START_NORMAL:
// Normal operation
IdleSpeed_Target = 750;
Lambda_Target = 1.00f;
SparkAdvance_Offset = 0.0f;
SecondaryAir_Disable();
break;
}
}
```
## Calibration Tables
### Volumetric Efficiency (VE) Map
```c
// 16x16 VE map: RPM (rows) x MAP (columns)
const float VE_Table[16][16] = {
// MAP: 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 kPa
/* 500*/ {20, 25, 30, 35, 40, 45, 50, 55, 60, 62, 63, 64, 65, 65, 65, 65},
/* 1000*/ {30, 35, 40, 50, 60, 70, 75, 78, 80, 81, 82, 83, 83, 83, 83, 83},
/* 1500*/ {35, 42, 52, 62, 72, 80, 85, 88, 90, 91, 92, 92, 92, 92, 92, 92},
/* 2000*/ {40, 50, 60, 70, 80, 88, 92, 94, 95, 96, 96, 96, 96, 96, 96, 96},
/* 2500*/ {42, 53, 64, 75, 85, 92, 96, 98, 99, 99, 99, 99, 99, 99, 99, 99},
/* 3000*/ {44, 55, 66, 77, 87, 94, 97, 99,100,100,100,100,100,100,100,100},
/* 3500*/ {45, 56, 67, 78, 88, 95, 98,100,101,101,101,100,100,100,100,100},
/* 4000*/ {45, 56, 67, 78, 88, 95, 98,100,101,101,100, 99, 99, 98, 98, 98},
/* 4500*/ {44, 55, 66, 77, 87, 94, 97, 99,100,100, 99, 98, 97, 96, 95, 95},
/* 5000*/ {43, 54, 65, 76, 86, 93, 96, 98, 99, 98, 97, 96, 95, 94, 93, 92},
/* 5500*/ {42, 53, 64, 75, 85, 92, 95, 97, 97, 96, 95, 94, 92, 91, 90, 89},
/* 6000*/ {40, 51, 62, 73, 83, 90, 93, 95, 95, 94, 92, 91, 89, 88, 86, 85},
/* 6500*/ {38, 49, 60, 71, 81, 88, 91, 92, 92, 91, 89, 87, 85, 83, 81, 80},
/* 7000*/ {35, 46, 57, 68, 78, 85, 88, 89, 88, 87, 85, 83, 80, 78, 76, 74},
/* 7500*/ {32, 43, 54, 65, 75, 82, 84, 85, 84, 82, 80, 78, 75, 72, 70, 68},
/* 8000*/ {28, 39, 50, 61, 71, 78, 80, 80, 79, 77, 75, 72, 69, 66, 63, 61}
};
```
### Spark Timing Map (Base Advance)
```c
// 16x16 Spark map: RPM (rows) x Load (columns)
// Values in degrees BTDC (Before Top Dead Center)
const float SparkMap[16][16] = {
// Load: 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 %
/* 500*/ {15, 18, 20, 22, 24, 25, 26, 26, 26, 25, 24, 23, 22, 21, 20, 19},
/* 1000*/ {18, 22, 25, 28, 30, 32, 33, 33, 32, 31, 30, 28, 27, 26, 25, 24},
/* 1500*/ {20, 25, 28, 32, 35, 37, 38, 38, 37, 36, 34, 32, 30, 29, 28, 27},
/* 2000*/ {22, 27, 31, 35, 38, 40, 41, 41, 40, 38, 36, 34, 32, 31, 30, 29},
/* 2500*/ {24, 29, 33, 37, 40, 42, 43, 42, 41, 39, 37, 35, 33, 32, 31, 30},
/* 3000*/ {25, 30, 34, 38, 41, 43, 43, 42, 41, 39, 37, 35, 33, 32, 31, 30},
/* 3500*/ {26, 31, 35, 39, 41, 42, 42, 41, 40, 38, 36, 34, 32, 31, 30, 29},
/* 4000*/ {27, 31, 35, 38, 40, 41, 41, 40, 39, 37, 35, 33, 31, 30, 29, 28},
/* 4500*/ {27, 31, 34, 37, 39, 40, 40, 39, 37, 35, 33, 31, 29, 28, 27, 26},
/* 5000*/ {26, 30, 33, 36, 38, 39, 38, 37, 35, 33, 31, 29, 27, 26, 25, 24},
/* 5500*/ {25, 29, 32, 35, 36, 37, 36, 35, 33, 31, 29, 27, 25, 24, 23, 22},
/* 6000*/ {24, 28, 31, 33, 34, 35, 34, 33, 31, 29, 27, 25, 23, 22, 21, 20},
/* 6500*/ {23, 27, 29, 31, 32, 32, 31, 30, 28, 26, 24, 22, 20, 19, 18, 17},
/* 7000*/ {22, 25, 27, 29, 29, 29, 28, 27, 25, 23, 21, 19, 17, 16, 15, 14},
/* 7500*/ {20, 23, 25, 26, 26, 26, 25, 24, 22, 20, 18, 16, 14, 13, 12, 11},
/* 8000*/ {18, 21, 22, 23, 23, 23, 22, 21, 19, 17, 15, 13, 11, 10, 9, 8}
};
```
## OBD-II Readiness Monitors
```c
// OBD-II Monitor Status
typedef struct {
bool misfire_monitor_complete;
bool fuel_system_monitor_complete;
bool components_monitor_complete;
bool catalyst_monitor_complete;
bool heated_catalyst_monitor_complete;
bool evap_system_monitor_complete;
bool secondary_air_monitor_complete;
bool oxygen_sensor_monitor_complete;
bool oxygen_sensor_heater_monitor_complete;
bool egr_system_monitor_complete;
} OBD_MonitorStatus_t;
void OBD_UpdateReadinessMonitors(void) {
// Misfire Monitor (continuous)
if (Misfire_TestComplete() && Drive_Cycle_Conditions_Met()) {
monitors.misfire_monitor_complete = true;
}
// Catalyst Monitor (requires closed-loop, specific load/speed)
if (Catalyst_Test_Entry_Conditions()) {
float lambda_switch_count = O2_Downstream_SwitchCount();
float catalyst_efficiency = lambda_switch_count / lambda_upstream_switches;
if (catalyst_efficiency < CATALYST_EFFICIENCY_THRESHOLD) {
Fault_SetDTC(DTC_P0420_CATALYST_EFFICIENCY);
} else {
monitors.catalyst_monitor_complete = true;
}
}
// EVAP Monitor (fuel tank pressure decay test)
if (EVAP_Test_Entry_Conditions()) {
float pressure_decay_rate = EVAP_RunPressureTest();
if (pressure_decay_rate > EVAP_LEAK_THRESHOLD) {
Fault_SetDTC(DTC_P0442_EVAP_LEAK_SMALL);
} else {
monitors.evap_system_monitor_complete = true;
}
}
// EGR Monitor (position sensor vs expected flow)
if (EGR_Test_Entry_Conditions()) {
float egr_expected_flow = EGR_Map_Lookup(rpm, load);
float egr_actual_flow = MAF_MeasureEGR();
if (fabs(egr_expected_flow - egr_actual_flow) > EGR_TOLERANCE) {
Fault_SetDTC(DTC_P0401_EGR_INSUFFICIENT_FLOW);
} else {
monitors.egr_system_monitor_complete = true;
}
}
}
// MIL Illumination Logic (Two-trip fault detection)
void OBD_MIL_Logic(uint16_t dtc) {
static uint8_t fault_count[256] = {0};
if (DTC_IsPending(dtc)) {
fault_count[dtc]++;
if (fault_count[dtc] >= 2) { // Two consecutive trips
MIL_Illuminate();
DTC_StoreConfirmed(dtc);
DTC_StoreFreezeFrame(dtc);
}
} else {
fault_count[dtc] = 0; // Reset if fault not present
}
}
```
## AUTOSAR Integration
```c
// AUTOSAR Runnable for ECM main control (10ms cyclic)
FUNC(void, ECM_CODE) ECM_MainFunction(void) {
// Read sensors via AUTOSAR RTE
Rte_Read_SensorCluster_EngineSpeed(&rpm);
Rte_Read_SensorCluster_ThrottlePosition(&throttle_pos);
Rte_Read_SensorCluster_MAP(&manifold_pressure);
Rte_Read_SensorCluster_CoolantTemp(&coolant_temp);
Rte_Read_SensorCluster_IntakeAirTemp(&iat);
Rte_Read_SensorCluster_LambdaSensor(&lambda_actual);
// Calculate fuel injection pulse
FuelCalc_t fuel_calc = {
.lambda_target = 1.0f,
.lambda_actual = lambda_actual,
.temp_correction = Temp_Correction(coolant_temp, iat),
.transient_comp = WallWetting_Compensation(throttle_rate),
.battery_correction = Battery_Compensation(battery_voltage)
};
float injection_pulse_ms = ECM_CalculateInjectionPulse(&fuel_calc, maf_gs, rpm);
// Calculate spark timing
IgnitionTiming_t ign_timing = {
.coolant_adv_deg = Coolant_AdvanceCurve(coolant_temp),
.altitude_adv_deg = Altitude_Compensation(barometric_pressure)
};
float spark_advance_deg = ECM_CalculateSparkAdvance(&ign_timing, rpm, load);
// Calculate turbo boost (if equipped)
float boost_target_kPa = BoostMap_Lookup(rpm, throttle_pos);
float wastegate_duty = Turbo_BoostControl(boost_target_kPa, boost_actual_kPa,
&boost_pid, 0.01f);
// Calculate EGR position
float egr_position = EGR_CalculatePosition(rpm, load, coolant_temp);
// Write actuators via AUTOSAR RTE
Rte_Write_ActuatorCluster_InjectionPulse(injection_pulse_ms);
Rte_Write_ActuatorCluster_SparkAdvance(spark_advance_deg);
Rte_Write_ActuatorCluster_WastegatePosition(wastegate_duty);
Rte_Write_ActuatorCluster_EGR_Position(egr_position);
// Update OBD-II monitors
OBD_UpdateReadinessMonitors();
}
```
## HIL Test Scenarios
### Test Case 1: Cold Start Emissions
```yaml
test_id: ECM_001_COLD_START
objective: Validate cold start emissions and catalyst light-off time
preconditions:
- Coolant temperature: -7°C (EPA cold start spec)
- Fuel tank: 50% full
- Battery voltage: 12.6V
test_steps:
1. Crank engine (starter engaged)
2. Monitor time to first fire (<1.0 seconds)
3. Monitor idle speed stabilization (<5 seconds to 1200 RPM)
4. Monitor catalyst light-off time (<60 seconds to 300°C)
5. Measure HC/CO/NOx emissions during first 120 seconds
pass_criteria:
- Time to first fire: <1.0s
- Idle stabilization: <5s
- Catalyst light-off: <60s
- HC emissions: <1.5 g/km (FTP-75 cycle)
- CO emissions: <4.2 g/km
- NOx emissions: <0.06 g/km (Tier 3 Bin 30)
```
### Test Case 2: Wide Open Throttle (WOT) Performance
```yaml
test_id: ECM_002_WOT_PERFORMANCE
objective: Validate max power delivery and knock control
preconditions:
- Engine at operating temperature (90°C)
- Fuel: 91 AKI (octane rating)
- Ambient: 25°C, 1013 mbar
test_steps:
1. Start at 1500 RPM, light load
2. Apply 100% throttle
3. Monitor power curve from 1500-7000 RPM
4. Monitor for knock events
5. Verify boost control (turbo engines)
pass_criteria:
- Peak power: Within 5% of calibration target
- Peak torque: Within 5% of calibration target
- No sustained knock events (transient knock OK)
- Boost pressure: ±5 kPa of target throughout RPM range
- AFR: 0.85-0.90 lambda during WOT
```
### Test Case 3: Emissions Durability (OBD-II)
```yaml
test_id: ECM_003_OBD_READINESS
objective: Verify OBD-II monitors complete within EPA drive cycle
preconditions:
- Clear all DTCs
- Perform key-off/key-on cycle
test_steps:
1. Execute FTP-75 drive cycle
2. Monitor readiness status for all monitors
3. Verify no false DTCs triggered
pass_criteria:
- Misfire monitor: Complete
- Fuel system monitor: Complete
- Catalyst monitor: Complete
- EVAP monitor: Complete (requires tank temp conditions)
- EGR monitor: Complete
- O2 sensor monitors: Complete
- No false DTCs stored
```
## ISO 26262 Safety Concept
### ASIL Decomposition for ECM
| Function | ASIL | Decomposition | Rationale |
|----------|------|---------------|-----------|
| Fuel injection | ASIL-D | ASIL-B(B) + ASIL-B(B) | Split into pulse calculation (B) and driver control (B) |
| Ignition timing | ASIL-D | ASIL-C(C) + ASIL-A(A) | Knock control (C), base timing (A) |
| Throttle monitoring | ASIL-D | ASIL-C(C) + ASIL-B(B) | Dual-channel position sensors |
| Boost control | ASIL-C | No decomposition | Overspeed protection via mechanical wastegate |
### Safety Mechanisms
1. **Plausibility Checks**: Cross-check TPS vs MAP (should correlate at steady-state)
2. **Limp-Home Mode**: Fixed ignition timing, reduced power if critical sensor fails
3. **Cylinder Cutoff**: Disable fuel to cylinder if misfire detected (prevents catalyst damage)
4. **Independent Watchdog**: External watchdog monitors ECM task execution
5. **RAM/ROM Tests**: Periodic memory checks (ISO 26262 Part 5)
## CAN Signal Definitions (DBC)
```dbc
BO_ 256 ECM_Status: 8 ECM
SG_ EngineSpeed : 0|16@1+ (0.25,0) [0|16383.75] "rpm" PCM,TCM,ESC
SG_ EngineTorque : 16|16@1+ (0.5,-500) [-500|32267.5] "Nm" PCM,TCM
SG_ ThrottlePosition : 32|8@1+ (0.4,0) [0|102] "%" PCM,TCM,ESC
SG_ CoolantTemp : 40|8@1- (1,-40) [-40|215] "degC" PCM,HMI
SG_ Lambda : 48|8@1+ (0.01,0) [0|2.55] "lambda" PCM
SG_ BoostPressure : 56|8@1+ (2,0) [0|510] "kPa" PCM,HMI
BO_ 257 ECM_Faults: 8 ECM
SG_ MIL_Status : 0|2@1+ (1,0) [0|3] "" PCM,HMI
SG_ DTC_Count : 2|6@1+ (1,0) [0|63] "" PCM,HMI
SG_ Misfire_Cylinder1 : 8|1@1+ (1,0) [0|1] "" PCM
SG_ Misfire_Cylinder2 : 9|1@1+ (1,0) [0|1] "" PCM
SG_ Misfire_Cylinder3 : 10|1@1+ (1,0) [0|1] "" PCM
SG_ Misfire_Cylinder4 : 11|1@1+ (1,0) [0|1] "" PCM
SG_ Knock_Detected : 12|1@1+ (1,0) [0|1] "" PCM
SG_ Catalyst_Efficiency : 13|1@1+ (1,0) [0|1] "" PCM
```
## Tools and Calibration
- **INCA/CANape**: A2L-based calibration, live tuning on dyno
- **ATI Vision**: ECU flashing, bootloader programming
- **MATLAB/Simulink**: Model-based development, automatic code generation
- **TargetLink**: Production code generation with ISO 26262 certificate
- **Polyspace**: Static analysis for MISRA-C compliance
- **Vector CANoe**: Virtual ECU testing, residual bus simulation
## References
- ISO 15031 (OBD-II Communication)
- SAE J1979 (E/E Diagnostic Test Modes)
- ISO 26262 (Functional Safety)
- SAE J2534 (Pass-Thru Programming)
- EPA Tier 3 Emissions Standards
- CARB LEV III Standards
---
## Eps Steering Systems
# EPS Electric Power Steering Systems Skill
## Overview
Expert skill in Electric Power Steering (EPS) system development. Covers assist torque calculation, returnability, damping control, steering feel tuning, park assist integration, lane centering assist, driver hands-on detection, and ISO 26262 ASIL-D safety requirements.
## Core Competencies
### 1. Assist Torque Calculation
- **Speed-Dependent Assist**: High assist at low speed (parking), minimal assist at high speed (stability)
- **Torque Sensor Fusion**: Dual-sensor redundancy for ASIL-D compliance
- **Motor Control**: BLDC/PMSM field-oriented control (FOC), current mode control
- **Compensation**: Friction compensation, inertia compensation, KPI tuning
### 2. Returnability and Damping
- **Self-Centering**: Automatic steering wheel return to center after cornering
- **Damping Control**: Velocity-dependent damping to prevent oscillations
- **Hysteresis Compensation**: Eliminate mechanical friction dead-zone
- **Tuning**: Balance returnability (too strong = jerky) vs stability (too weak = wander)
### 3. Steering Feel Optimization
- **On-Center Feel**: Tight on-center for highway stability, wider for city comfort
- **Build-Up Gradient**: Torque vs angle relationship (linear, progressive, degressive)
- **Road Feedback**: Transmit road surface feel (driver preference: sporty vs comfort)
- **Driver Intent Recognition**: Detect parking vs highway vs emergency maneuver
### 4. Park Assist Integration
- **Automated Steering**: Follow path controller for parallel/perpendicular parking
- **Speed Limit**: Max 7 kph for park assist actuation
- **Driver Override**: Instant deactivation on driver torque >3 Nm
- **Fail-Safe**: Return control to driver on sensor fault
### 5. Lane Centering Assist (LCA)
- **Camera-Based Control**: Follow lane markings, gentle steering corrections
- **Hands-On Detection**: Capacitive steering wheel, torque threshold monitoring
- **Comfort Tuning**: Smooth intervention, avoid "ping-pong" effect
- **Takeover Request**: Escalating warnings if driver inattentive
### 6. ISO 26262 ASIL-D Safety
- **Redundant Torque Sensors**: Dual sensors with plausibility check
- **Motor Position Sensors**: Dual resolver/encoder with voting logic
- **Safe Torque Off (STO)**: Hardware safety switch to disable motor
- **End-of-Line Test**: Automated safety function verification
## Control Algorithms
### Assist Torque Calculation
```c
typedef struct {
float driver_torque_nm; // From torque sensor
float vehicle_speed_kph; // From CAN
float motor_angle_deg; // Steering column angle
float motor_velocity_dps; // Steering rate
} EPS_Input_t;
typedef struct {
float base_assist_factor; // Speed-dependent assist curve
float damping_coefficient; // Velocity damping
float returnability_gain; // Self-centering strength
float friction_compensation; // Static friction offset
} EPS_Parameters_t;
float EPS_CalculateAssistTorque(EPS_Input_t *input, EPS_Parameters_t *params) {
// Speed-dependent assist curve (lookup table)
// Low speed: 100% assist, High speed: 20% assist
float assist_curve[8] = {1.0f, 0.95f, 0.80f, 0.60f, 0.40f, 0.30f, 0.25f, 0.20f};
uint8_t speed_index = CLAMP((int)(input->vehicle_speed_kph / 20.0f), 0, 7);
params->base_assist_factor = assist_curve[speed_index];
// Base assist torque (proportional to driver input)
float assist_torque = input->driver_torque_nm * params->base_assist_factor * 8.0f;
// Friction compensation (overcome column friction)
float friction_sign = (input->motor_velocity_dps > 0) ? 1.0f : -1.0f;
assist_torque += friction_sign * params->friction_compensation;
// Damping (velocity-dependent, prevent oscillation)
float damping_torque = -params->damping_coefficient * input->motor_velocity_dps;
assist_torque += damping_torque;
// Returnability (self-centering spring)
float return_torque = -params->returnability_gain * input->motor_angle_deg;
assist_torque += return_torque;
// Torque limits (motor capability)
return CLAMP(assist_torque, -6.0f, 6.0f); // Nm
}
```
### Motor Current Control (FOC)
```c
// Field-Oriented Control for BLDC motor
typedef struct {
float id_target; // d-axis current (field weakening)
float iq_target; // q-axis current (torque generation)
float id_actual;
float iq_actual;
float motor_angle; // Electrical angle (from resolver)
} FOC_Controller_t;
void EPS_FOC_CurrentControl(FOC_Controller_t *foc, float dt) {
// Clarke transform: 3-phase ABC → 2-phase αβ
float i_alpha = foc->ia;
float i_beta = (foc->ia + 2.0f * foc->ib) / sqrtf(3.0f);
// Park transform: αβ → dq (rotor-aligned frame)
float cos_theta = cosf(foc->motor_angle);
float sin_theta = sinf(foc->motor_angle);
foc->id_actual = i_alpha * cos_theta + i_beta * sin_theta;
foc->iq_actual = -i_alpha * sin_theta + i_beta * cos_theta;
// PI controllers for d and q axis
static float id_integral = 0.0f, iq_integral = 0.0f;
float id_error = foc->id_target - foc->id_actual;
id_integral += id_error * dt;
float vd = KP_D * id_error + KI_D * id_integral;
float iq_error = foc->iq_target - foc->iq_actual;
iq_integral += iq_error * dt;
float vq = KP_Q * iq_error + KI_Q * iq_integral;
// Inverse Park: dq → αβ
float v_alpha = vd * cos_theta - vq * sin_theta;
float v_beta = vd * sin_theta + vq * cos_theta;
// Inverse Clarke: αβ → ABC
float va = v_alpha;
float vb = -0.5f * v_alpha + (sqrtf(3.0f) / 2.0f) * v_beta;
float vc = -0.5f * v_alpha - (sqrtf(3.0f) / 2.0f) * v_beta;
// PWM modulation
PWM_SetDutyCycle(PHASE_A, va);
PWM_SetDutyCycle(PHASE_B, vb);
PWM_SetDutyCycle(PHASE_C, vc);
}
```
### Lane Centering Assist
```c
typedef struct {
float lane_offset_m; // Distance from lane center
float lane_heading_deg; // Angle to lane center
float kp_lateral; // Proportional gain
float kd_lateral; // Derivative gain
bool hands_on; // Driver hands detected
float intervention_torque; // LCA torque overlay
} LCA_Controller_t;
float LCA_CalculateTorque(LCA_Controller_t *lca, float vehicle_speed, float dt) {
// Disable if driver not holding wheel
if (!lca->hands_on) {
return 0.0f;
}
// PD controller for lane centering
float lateral_error = lca->lane_offset_m;
float heading_error = lca->lane_heading_deg * DEG_TO_RAD;
// Predict future lateral error (preview control)
float preview_time = 0.5f; // seconds
float predicted_error = lateral_error + vehicle_speed * sinf(heading_error) * preview_time;
// PD control law
float p_term = lca->kp_lateral * predicted_error;
float d_term = lca->kd_lateral * heading_error;
lca->intervention_torque = p_term + d_term;
// Gentle intervention limits (comfort)
lca->intervention_torque = CLAMP(lca->intervention_torque, -1.5f, 1.5f); // Nm
return lca->intervention_torque;
}
// Hands-on detection (capacitive + torque threshold)
bool LCA_HandsOnDetection(float driver_torque, float capacitive_level) {
// Capacitive sensor detects hand contact
if (capacitive_level > CAPACITIVE_THRESHOLD) {
return true;
}
// Torque threshold as backup (driver applying force)
if (fabs(driver_torque) > 1.0f) { // 1 Nm
return true;
}
return false;
}
```
### Fail-Safe State Machine
```c
typedef enum {
EPS_NORMAL,
EPS_DEGRADED,
EPS_SAFE_TORQUE_OFF,
EPS_FAULT
} EPS_SafetyState_t;
void EPS_SafetyStateMachine(void) {
static EPS_SafetyState_t state = EPS_NORMAL;
// Read dual torque sensors
float torque_sensor_1 = ADC_ReadTorqueSensor1();
float torque_sensor_2 = ADC_ReadTorqueSensor2();
// Plausibility check (ASIL-D requirement)
float torque_diff = fabs(torque_sensor_1 - torque_sensor_2);
switch (state) {
case EPS_NORMAL:
// Full EPS functionality
if (torque_diff > TORQUE_PLAUSIBILITY_THRESHOLD) {
state = EPS_DEGRADED;
Fault_SetDTC(DTC_EPS_TORQUE_SENSOR_MISMATCH);
}
break;
case EPS_DEGRADED:
// Use single sensor, reduce assist torque by 50%
Assist_Multiplier = 0.5f;
HMI_SetEPS_Warning(true);
// Recovery: if both sensors agree again for 5 seconds
if (torque_diff < TORQUE_PLAUSIBILITY_THRESHOLD * 0.5f) {
static uint16_t recovery_count = 0;
recovery_count++;
if (recovery_count > 250) { // 5 sec at 50Hz
state = EPS_NORMAL;
recovery_count = 0;
}
}
// Escalate if motor position sensor fails
if (Resolver_Fault_Detected()) {
state = EPS_SAFE_TORQUE_OFF;
}
break;
case EPS_SAFE_TORQUE_OFF:
// Disable motor immediately (hardware safety switch)
STO_ActivateSafetySwitch();
HMI_SetEPS_Fault(true);
state = EPS_FAULT;
break;
case EPS_FAULT:
// Manual steering only (no EPS assist)
// Requires vehicle restart to clear
break;
}
}
```
## Calibration Parameters
```c
// Speed-dependent assist curve (lookup table)
const float Assist_Curve_LUT[16] = {
// Speed: 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 kph
/*Assist*/ 1.0, 0.98, 0.92, 0.82, 0.68, 0.54, 0.42, 0.34, 0.28, 0.24, 0.22, 0.20, 0.20, 0.20, 0.20, 0.20
};
// Damping coefficient (Nm/(deg/s))
const float Damping_Curve_LUT[8] = {
// Speed: 0 20 40 60 80 100 120 140 kph
/*Damping*/ 0.01, 0.015, 0.020, 0.025, 0.030, 0.035, 0.040, 0.045
};
// Returnability gain (self-centering)
const float Returnability_LUT[8] = {
// Speed: 0 20 40 60 80 100 120 140 kph
/*Return*/ 0.02, 0.025, 0.030, 0.032, 0.033, 0.034, 0.035, 0.035
};
```
## AUTOSAR Integration
```c
FUNC(void, EPS_CODE) EPS_MainFunction(void) {
// Read inputs (1 kHz task for safety-critical control)
Rte_Read_TorqueSensor_Primary(&driver_torque_1);
Rte_Read_TorqueSensor_Secondary(&driver_torque_2);
Rte_Read_ResolverPosition(&motor_angle);
Rte_Read_ResolverVelocity(&motor_velocity);
Rte_Read_CAN_VehicleSpeed(&vehicle_speed);
// Plausibility check (ASIL-D)
if (fabs(driver_torque_1 - driver_torque_2) < TORQUE_PLAUSIBILITY_THRESHOLD) {
driver_torque = (driver_torque_1 + driver_torque_2) / 2.0f;
} else {
EPS_SafetyStateMachine();
}
// Calculate assist torque
EPS_Input_t input = {driver_torque, vehicle_speed, motor_angle, motor_velocity};
EPS_Parameters_t params;
float assist_torque = EPS_CalculateAssistTorque(&input, ¶ms);
// Lane centering overlay (if active)
if (ADAS_LCA_Active()) {
LCA_Controller_t lca;
Rte_Read_Camera_LaneOffset(&lca.lane_offset_m);
Rte_Read_Camera_LaneHeading(&lca.lane_heading_deg);
lca.hands_on = LCA_HandsOnDetection(driver_torque, Capacitive_Sensor_Read());
float lca_torque = LCA_CalculateTorque(&lca, vehicle_speed, 0.001f);
assist_torque += lca_torque;
}
// Motor current control (FOC)
FOC_Controller_t foc = {.iq_target = assist_torque / MOTOR_TORQUE_CONSTANT};
EPS_FOC_CurrentControl(&foc, 0.001f);
// Write outputs
Rte_Write_CAN_EPS_AssistTorque(assist_torque);
Rte_Write_CAN_EPS_MotorCurrent(foc.iq_actual);
}
```
## HIL Test Scenarios
### Test Case 1: Park Assist Torque (ASIL-D)
```yaml
test_id: EPS_001_PARK_ASSIST
objective: Validate high assist torque at low speed
preconditions:
- Vehicle speed: 5 kph
- Driver torque: 5 Nm (parking maneuver)
test_steps:
1. Apply driver torque sensor input
2. Monitor motor assist torque
3. Verify torque sensor redundancy
pass_criteria:
- Assist torque: 35-45 Nm (8-9x amplification)
- Dual torque sensors agree within ±0.5 Nm
- Motor current: <100 A peak
- Response time: <50 ms
```
### Test Case 2: Highway Stability (High Speed)
```yaml
test_id: EPS_002_HIGHWAY_STABILITY
objective: Minimal assist at high speed for stability
preconditions:
- Vehicle speed: 120 kph
- Driver torque: 2 Nm (lane change)
test_steps:
1. Apply small steering input
2. Verify low assist ratio
3. Check damping prevents oscillation
pass_criteria:
- Assist torque: 3-5 Nm (1.5-2.5x amplification)
- No steering oscillation after lane change
- Returnability: Wheel returns to center within 1.5 seconds
```
### Test Case 3: Sensor Fault Handling (ASIL-D)
```yaml
test_id: EPS_003_SENSOR_FAULT
objective: Graceful degradation on torque sensor failure
preconditions:
- EPS in normal mode
- Vehicle speed: 60 kph
test_steps:
1. Inject fault: Torque sensor 1 reads +3 Nm, sensor 2 reads -2 Nm
2. Monitor plausibility check
3. Verify degraded mode activation
4. Confirm driver warning
pass_criteria:
- Plausibility fault detected within 10ms
- Degraded mode: Use single sensor, 50% assist reduction
- EPS warning lamp illuminated within 100ms
- No loss of steering (fail-operational)
```
## ISO 26262 Safety Concept
### ASIL-D Requirements
- **Dual Torque Sensors**: Independent measurement chains, cross-check every 1ms
- **Dual Position Sensors**: Resolver + Hall sensor with voting logic
- **Safe Torque Off (STO)**: Hardware-enforced motor disable on critical fault
- **Diagnostic Coverage**: >99% for ASIL-D, watchdog, RAM/ROM test, sensor range checks
## CAN Signals (DBC)
```dbc
BO_ 280 EPS_Status: 8 EPS
SG_ DriverTorque : 0|16@1- (0.01,-327.68) [-327.68|327.67] "Nm" ADAS,ESC
SG_ AssistTorque : 16|16@1- (0.01,-327.68) [-327.68|327.67] "Nm" ADAS
SG_ MotorAngle : 32|16@1- (0.1,-3276.8) [-3276.8|3276.7] "deg" ESC
SG_ EPS_State : 48|2@1+ (1,0) [0|3] "" HMI
SG_ HandsOn : 50|1@1+ (1,0) [0|1] "" ADAS
```
## References
- ISO 26262-6 (EPS software safety)
- ISO 26262-8 (EPS hardware safety)
- UN ECE R79 (Steering equipment)
- SAE J2874 (EPS test procedures)
---
## Esc Stability Control
# ESC Electronic Stability Control Skill
## Overview
Expert skill in Electronic Stability Control (ESC) system development for vehicle stability management. Covers yaw rate control, slip angle estimation, selective brake intervention, understeer/oversteer detection, traction control (TCS), hill hold assist, and integration with ABS/EPS systems.
## Core Competencies
### 1. Yaw Rate Control
- **Reference Model**: Ideal yaw rate based on steering angle, vehicle speed, tire characteristics
- **Feedback Control**: PI/PID controller to minimize yaw rate error
- **Brake Intervention**: Selective brake force distribution to generate corrective yaw moment
- **Torque Reduction**: Coordinated engine torque cut for stability
### 2. Slip Angle Estimation
- **Kinematic Observer**: Estimate vehicle sideslip angle β from lateral acceleration, yaw rate
- **Kalman Filter**: Fuse IMU sensors (gyro, accelerometer) with wheel speed sensors
- **GPS/INS Integration**: High-accuracy β estimation for ADAS/autonomous vehicles
- **Cornering Stiffness Adaptation**: Real-time tire model parameter identification
### 3. Brake Intervention Strategy
- **Understeer Correction**: Brake inner rear wheel to induce yaw-in moment
- **Oversteer Correction**: Brake outer front wheel to induce yaw-out moment
- **Pressure Modulation**: Rapid hydraulic pressure cycling (10-20 Hz) via ABS valves
- **Coordination with ABS**: Brake force limited by wheel slip constraints
### 4. Understeer/Oversteer Detection
- **Understeer**: Actual yaw rate < desired yaw rate (vehicle turns less than intended)
- **Oversteer**: Actual yaw rate > desired yaw rate (vehicle turns more than intended)
- **Neutral Steer**: Actual ≈ desired (stable cornering)
- **Threshold Tuning**: Speed-dependent thresholds to avoid false triggers
### 5. Traction Control (TCS)
- **Drive Wheel Slip Control**: Limit slip ratio to 10-15% for maximum traction
- **Engine Torque Reduction**: Spark retard, fuel cut, throttle close
- **Brake-Based TCS**: Apply brake to spinning wheel (open differential vehicles)
- **Torque Vectoring**: Differential brake force for enhanced cornering (EBD)
### 6. Hill Hold Assist (HHA)
- **Gradient Detection**: Estimate road slope from longitudinal accelerometer
- **Brake Pressure Hold**: Maintain brake pressure for 2 seconds after brake release
- **Smooth Release**: Gradual pressure reduction as driver applies throttle
- **Rollback Prevention**: <1% grade rollback allowed on 15% slope
## Control Algorithms
### Reference Yaw Rate Calculation (Bicycle Model)
```c
// Calculate desired yaw rate based on driver input and vehicle dynamics
typedef struct {
float steering_angle_deg; // Steering wheel angle
float vehicle_speed_mps; // Longitudinal velocity
float wheelbase_m; // Distance between front and rear axles
float understeer_gradient; // Characteristic understeer gradient (K)
} VehicleModel_t;
float ESC_CalculateReferenceYawRate(VehicleModel_t *model) {
// Convert steering wheel angle to road wheel angle
float road_wheel_angle = model->steering_angle_deg / STEERING_RATIO;
float delta_rad = road_wheel_angle * DEG_TO_RAD;
// Understeer gradient (rad/g)
float K = model->understeer_gradient; // Typical: 0.002-0.005 for understeer
// Lateral acceleration at current speed and steering
float lat_accel = (model->vehicle_speed_mps * model->vehicle_speed_mps * delta_rad) / model->wheelbase_m;
// Reference yaw rate (rad/s) with understeer compensation
float yaw_rate_ref = model->vehicle_speed_mps * delta_rad / (model->wheelbase_m * (1.0f + K * lat_accel / GRAVITY));
// Saturation limits (vehicle physical limits)
float yaw_rate_max = 0.85f * GRAVITY / model->vehicle_speed_mps; // ~0.85g lateral limit
return CLAMP(yaw_rate_ref, -yaw_rate_max, yaw_rate_max);
}
```
### Slip Angle Estimation (Kinematic Observer)
```c
// Estimate vehicle sideslip angle β using sensor fusion
typedef struct {
float yaw_rate; // Measured from gyro (rad/s)
float lat_accel; // Measured from accelerometer (m/s²)
float longitudinal_vel; // From wheel speeds (m/s)
float beta_estimate; // Estimated sideslip angle (rad)
} SlipAngleEstimator_t;
void ESC_EstimateSideslipAngle(SlipAngleEstimator_t *est, float dt) {
// Kinematic relationship: dβ/dt = ay/vx - ψ̇
// where β = sideslip angle, ay = lateral accel, vx = longitudinal vel, ψ̇ = yaw rate
float beta_dot = (est->lat_accel / est->longitudinal_vel) - est->yaw_rate;
// Integrate to get sideslip angle
est->beta_estimate += beta_dot * dt;
// Low-pass filter to remove noise (cutoff 1 Hz)
static float beta_filtered = 0.0f;
float alpha = dt / (dt + 1.0f / (2.0f * PI * 1.0f)); // RC filter
beta_filtered = alpha * est->beta_estimate + (1.0f - alpha) * beta_filtered;
est->beta_estimate = beta_filtered;
// Clamp to physical limits (±15 degrees)
est->beta_estimate = CLAMP(est->beta_estimate, -0.26f, 0.26f); // radians
}
```
### Yaw Stability Controller
```c
typedef enum {
ESC_STABLE,
ESC_UNDERSTEER,
ESC_OVERSTEER,
ESC_CRITICAL
} ESC_State_t;
typedef struct {
float kp_yaw; // Proportional gain for yaw rate error
float ki_yaw; // Integral gain
float yaw_rate_error; // Reference - actual yaw rate
float integral_yaw; // Integral accumulator
ESC_State_t state; // Current stability state
} ESC_Controller_t;
float ESC_YawController(ESC_Controller_t *ctrl, float yaw_ref, float yaw_actual, float dt) {
ctrl->yaw_rate_error = yaw_ref - yaw_actual;
// Dead-zone to prevent unnecessary intervention (±0.05 rad/s)
if (fabs(ctrl->yaw_rate_error) < 0.05f) {
ctrl->integral_yaw = 0.0f;
ctrl->state = ESC_STABLE;
return 0.0f; // No intervention needed
}
// PI controller for corrective yaw moment
float p_term = ctrl->kp_yaw * ctrl->yaw_rate_error;
ctrl->integral_yaw += ctrl->yaw_rate_error * dt;
ctrl->integral_yaw = CLAMP(ctrl->integral_yaw, -2.0f, 2.0f); // Anti-windup
float i_term = ctrl->ki_yaw * ctrl->integral_yaw;
// Desired corrective yaw moment (N⋅m)
float yaw_moment = p_term + i_term;
// Classify state based on error magnitude
if (ctrl->yaw_rate_error > 0.1f) {
ctrl->state = ESC_UNDERSTEER;
} else if (ctrl->yaw_rate_error < -0.1f) {
ctrl->state = ESC_OVERSTEER;
} else {
ctrl->state = ESC_STABLE;
}
return yaw_moment;
}
```
### Brake Force Distribution (Understeer/Oversteer Correction)
```c
typedef struct {
float FL_brake_force; // Front-left brake force (N)
float FR_brake_force; // Front-right
float RL_brake_force; // Rear-left
float RR_brake_force; // Rear-right
} BrakeForces_t;
void ESC_CalculateBrakeForces(ESC_Controller_t *ctrl, float yaw_moment_desired,
BrakeForces_t *brakes, float vehicle_speed) {
// Track width (distance between left and right wheels)
const float TRACK_WIDTH_M = 1.6f;
// Required brake force to generate yaw moment: F = M / (track_width / 2)
float brake_force_single_wheel = fabs(yaw_moment_desired) / (TRACK_WIDTH_M / 2.0f);
// Limit brake force based on vehicle speed (lower at high speed for comfort)
float max_brake_force = 8000.0f - (vehicle_speed * 50.0f); // N
brake_force_single_wheel = CLAMP(brake_force_single_wheel, 0.0f, max_brake_force);
// Initialize all brakes to zero
memset(brakes, 0, sizeof(BrakeForces_t));
switch (ctrl->state) {
case ESC_UNDERSTEER:
// Vehicle understeers (yaw rate too low, not turning enough)
// Brake INNER REAR wheel to create yaw-in moment
if (ctrl->yaw_rate_error > 0) {
brakes->RL_brake_force = brake_force_single_wheel; // Turning right, brake left rear
} else {
brakes->RR_brake_force = brake_force_single_wheel; // Turning left, brake right rear
}
break;
case ESC_OVERSTEER:
// Vehicle oversteers (yaw rate too high, turning too much, tail sliding out)
// Brake OUTER FRONT wheel to create yaw-out moment
if (ctrl->yaw_rate_error < 0) {
brakes->FL_brake_force = brake_force_single_wheel; // Turning right, brake left front
} else {
brakes->FR_brake_force = brake_force_single_wheel; // Turning left, brake right front
}
break;
case ESC_STABLE:
// No intervention
break;
case ESC_CRITICAL:
// Extreme instability: brake all wheels and reduce throttle aggressively
float panic_brake = max_brake_force * 0.6f;
brakes->FL_brake_force = panic_brake;
brakes->FR_brake_force = panic_brake;
brakes->RL_brake_force = panic_brake * 0.8f; // Rear lighter for rotation control
brakes->RR_brake_force = panic_brake * 0.8f;
// Request full engine torque cut
CAN_Send_TorqueReduction(100.0f);
break;
}
}
```
### Traction Control System (TCS)
```c
// Limit drive wheel slip for maximum traction
typedef struct {
float target_slip_ratio; // Optimal slip ratio (10-15%)
float kp_tcs; // Proportional gain
float ki_tcs; // Integral gain
float integral_tcs[4]; // Per-wheel integral term
} TCS_Controller_t;
void TCS_Control(TCS_Controller_t *tcs, float wheel_speeds[4], float vehicle_speed, float dt) {
// Drive wheels (assume rear-wheel drive, indices 2 and 3)
const uint8_t RL = 2;
const uint8_t RR = 3;
for (uint8_t i = RL; i <= RR; i++) {
// Calculate slip ratio: λ = (vwheel - vvehicle) / vvehicle
float slip_ratio = (wheel_speeds[i] - vehicle_speed) / vehicle_speed;
// Slip ratio error
float slip_error = slip_ratio - tcs->target_slip_ratio;
// Only intervene if slip exceeds target (wheel spinning)
if (slip_error > 0.02f) { // 2% dead-zone
// PI controller
float p_term = tcs->kp_tcs * slip_error;
tcs->integral_tcs[i] += slip_error * dt;
tcs->integral_tcs[i] = CLAMP(tcs->integral_tcs[i], 0.0f, 5.0f);
float i_term = tcs->ki_tcs * tcs->integral_tcs[i];
// Torque reduction request (0-100%)
float torque_reduction = p_term + i_term;
torque_reduction = CLAMP(torque_reduction, 0.0f, 100.0f);
// Send torque reduction to ECM
CAN_Send_TorqueReduction(torque_reduction);
// Optional: Brake-based TCS (apply brake to spinning wheel)
if (slip_error > 0.3f) { // Excessive slip (>30%)
float brake_pressure = CLAMP(slip_error * 5000.0f, 0.0f, 8000.0f); // N
ABS_ApplyBrake(i, brake_pressure);
}
// Activate TCS indicator lamp
HMI_SetTCS_Active(true);
} else {
tcs->integral_tcs[i] = 0.0f; // Reset integral
}
}
}
```
### Hill Hold Assist
```c
typedef enum {
HHA_IDLE,
HHA_ACTIVE,
HHA_RELEASING
} HHA_State_t;
typedef struct {
HHA_State_t state;
float hold_pressure_bar;
float hold_timer;
float gradient_percent;
} HillHoldAssist_t;
void HHA_Control(HillHoldAssist_t *hha, float brake_pedal, float throttle_pedal,
float longitudinal_accel, float dt) {
// Estimate road gradient from accelerometer (when stationary)
if (Vehicle_Speed < 0.5f) {
hha->gradient_percent = longitudinal_accel / GRAVITY * 100.0f;
}
switch (hha->state) {
case HHA_IDLE:
// Activation: driver releases brake on slope >3%
if (brake_pedal < 10.0f && fabs(hha->gradient_percent) > 3.0f && Vehicle_Speed < 0.5f) {
// Capture current brake pressure
hha->hold_pressure_bar = Hydraulic_GetBrakePressure();
hha->hold_timer = 0.0f;
hha->state = HHA_ACTIVE;
}
break;
case HHA_ACTIVE:
// Hold brake pressure to prevent rollback
Hydraulic_SetBrakePressure(hha->hold_pressure_bar);
// Increment timer
hha->hold_timer += dt;
// Release conditions: throttle applied or timeout (2 seconds)
if (throttle_pedal > 10.0f || hha->hold_timer > 2.0f) {
hha->state = HHA_RELEASING;
}
break;
case HHA_RELEASING:
// Gradually release brake pressure (linear ramp over 0.5 seconds)
static float release_timer = 0.0f;
release_timer += dt;
float release_fraction = release_timer / 0.5f;
float pressure = hha->hold_pressure_bar * (1.0f - release_fraction);
Hydraulic_SetBrakePressure(pressure);
if (release_fraction >= 1.0f || Vehicle_Speed > 2.0f) {
hha->state = HHA_IDLE;
release_timer = 0.0f;
}
break;
}
}
```
## State Machine: ESC Intervention Levels
```c
typedef enum {
ESC_OFF,
ESC_MONITORING,
ESC_INTERVENTION_LIGHT,
ESC_INTERVENTION_HEAVY,
ESC_PANIC_MODE
} ESC_InterventionLevel_t;
void ESC_StateMachine(void) {
static ESC_InterventionLevel_t level = ESC_MONITORING;
float yaw_error = fabs(yaw_ref - yaw_actual);
float beta = Slip_Angle_Estimate;
float lateral_accel = IMU_Read_LateralAccel();
switch (level) {
case ESC_OFF:
// ESC disabled by driver (button press)
// TCS remains active for safety
if (ESC_Button_Pressed()) {
level = ESC_MONITORING;
}
break;
case ESC_MONITORING:
// Normal driving: monitor but don't intervene
if (yaw_error > 0.05f && fabs(beta) > 0.05f) {
level = ESC_INTERVENTION_LIGHT;
}
break;
case ESC_INTERVENTION_LIGHT:
// Small yaw error: gentle brake intervention
ESC_Controller_t ctrl = {.kp_yaw = 5000.0f, .ki_yaw = 1000.0f};
float yaw_moment = ESC_YawController(&ctrl, yaw_ref, yaw_actual, DT);
BrakeForces_t brakes;
ESC_CalculateBrakeForces(&ctrl, yaw_moment, &brakes, Vehicle_Speed);
// Apply brakes
ABS_ApplyBrake(FL, brakes.FL_brake_force);
ABS_ApplyBrake(FR, brakes.FR_brake_force);
ABS_ApplyBrake(RL, brakes.RL_brake_force);
ABS_ApplyBrake(RR, brakes.RR_brake_force);
// Escalate if error grows
if (yaw_error > 0.15f || fabs(beta) > 0.15f) {
level = ESC_INTERVENTION_HEAVY;
} else if (yaw_error < 0.03f) {
level = ESC_MONITORING;
}
break;
case ESC_INTERVENTION_HEAVY:
// Large yaw error: aggressive brake + torque reduction
ctrl.kp_yaw = 8000.0f;
ctrl.ki_yaw = 2000.0f;
yaw_moment = ESC_YawController(&ctrl, yaw_ref, yaw_actual, DT);
ESC_CalculateBrakeForces(&ctrl, yaw_moment, &brakes, Vehicle_Speed);
// Request engine torque reduction (30-50%)
CAN_Send_TorqueReduction(50.0f);
// Activate ESC warning lamp (flashing)
HMI_SetESC_Lamp(LAMP_FLASHING);
// Escalate to panic if critical
if (fabs(lateral_accel) > 0.9f * GRAVITY || fabs(beta) > 0.22f) {
level = ESC_PANIC_MODE;
} else if (yaw_error < 0.08f) {
level = ESC_INTERVENTION_LIGHT;
}
break;
case ESC_PANIC_MODE:
// Critical instability: maximum intervention
ctrl.state = ESC_CRITICAL;
ESC_CalculateBrakeForces(&ctrl, yaw_moment, &brakes, Vehicle_Speed);
// Full torque cut
CAN_Send_TorqueReduction(100.0f);
// ESC lamp solid on
HMI_SetESC_Lamp(LAMP_ON);
// Return to monitoring after stabilization
if (yaw_error < 0.05f && Vehicle_Speed < 10.0f) {
level = ESC_MONITORING;
HMI_SetESC_Lamp(LAMP_OFF);
}
break;
}
}
```
## AUTOSAR Integration
```c
// AUTOSAR Runnable for ESC main control (10ms cyclic, high priority)
FUNC(void, ESC_CODE) ESC_MainFunction(void) {
// Read sensors via AUTOSAR RTE
Rte_Read_IMU_YawRate(&yaw_rate_actual);
Rte_Read_IMU_LateralAccel(&lateral_accel);
Rte_Read_IMU_LongitudinalAccel(&longitudinal_accel);
Rte_Read_SensorCluster_SteeringAngle(&steering_angle);
Rte_Read_SensorCluster_VehicleSpeed(&vehicle_speed);
Rte_Read_WheelSpeedSensors_FL(&wheel_speed_fl);
Rte_Read_WheelSpeedSensors_FR(&wheel_speed_fr);
Rte_Read_WheelSpeedSensors_RL(&wheel_speed_rl);
Rte_Read_WheelSpeedSensors_RR(&wheel_speed_rr);
// Calculate reference yaw rate (ideal response)
VehicleModel_t model = {
.steering_angle_deg = steering_angle,
.vehicle_speed_mps = vehicle_speed / 3.6f,
.wheelbase_m = 2.7f,
.understeer_gradient = 0.003f
};
float yaw_ref = ESC_CalculateReferenceYawRate(&model);
// Estimate sideslip angle
SlipAngleEstimator_t slip_est = {
.yaw_rate = yaw_rate_actual,
.lat_accel = lateral_accel,
.longitudinal_vel = model.vehicle_speed_mps,
.beta_estimate = beta_previous
};
ESC_EstimateSideslipAngle(&slip_est, 0.01f);
// Yaw stability control
ESC_Controller_t esc_ctrl = {.kp_yaw = 5000.0f, .ki_yaw = 1000.0f};
float yaw_moment = ESC_YawController(&esc_ctrl, yaw_ref, yaw_rate_actual, 0.01f);
// Calculate brake forces
BrakeForces_t brake_forces;
ESC_CalculateBrakeForces(&esc_ctrl, yaw_moment, &brake_forces, vehicle_speed);
// Traction control
float wheel_speeds[4] = {wheel_speed_fl, wheel_speed_fr, wheel_speed_rl, wheel_speed_rr};
TCS_Controller_t tcs_ctrl = {.target_slip_ratio = 0.12f, .kp_tcs = 50.0f, .ki_tcs = 10.0f};
TCS_Control(&tcs_ctrl, wheel_speeds, vehicle_speed, 0.01f);
// Write outputs via AUTOSAR RTE
Rte_Write_BrakeActuator_FL_Force(brake_forces.FL_brake_force);
Rte_Write_BrakeActuator_FR_Force(brake_forces.FR_brake_force);
Rte_Write_BrakeActuator_RL_Force(brake_forces.RL_brake_force);
Rte_Write_BrakeActuator_RR_Force(brake_forces.RR_brake_force);
Rte_Write_CAN_ESC_Active(esc_ctrl.state != ESC_STABLE);
Rte_Write_CAN_TCS_Active(tcs_active);
}
```
## HIL Test Scenarios
### Test Case 1: Sine-with-Dwell Stability Test (FMVSS 126)
```yaml
test_id: ESC_001_SINE_DWELL
objective: Validate ESC performance per FMVSS 126 standard
preconditions:
- Vehicle speed: 80 kph (50 mph)
- Road surface: Dry asphalt (μ = 0.9)
- Tire pressure: Nominal
test_steps:
1. Apply sinusoidal steering input (0.7 Hz, ±270° amplitude)
2. Dwell at maximum steering for 0.5 seconds
3. Monitor yaw rate response
4. Measure lateral displacement
pass_criteria:
- Yaw rate overshoot: <35% of steady-state value
- Vehicle remains stable (no spin-out)
- Lateral displacement: <1.83 meters from lane center
- ESC intervention time: <100ms from instability detection
```
### Test Case 2: Split-μ Braking
```yaml
test_id: ESC_002_SPLIT_MU_BRAKING
objective: Validate directional stability during braking on split friction surface
preconditions:
- Vehicle speed: 100 kph
- Left wheels on dry asphalt (μ = 0.9)
- Right wheels on ice (μ = 0.2)
test_steps:
1. Apply full brake pressure (ABS active)
2. Monitor yaw rate and lateral deviation
3. ESC should counter yaw moment from asymmetric braking
pass_criteria:
- Yaw rate: <5 deg/s deviation from straight line
- Lateral deviation: <1 meter over 50 meter braking distance
- Vehicle remains in lane without driver steering correction
```
### Test Case 3: Traction Control on Loose Gravel
```yaml
test_id: ESC_003_TCS_GRAVEL
objective: Validate TCS prevents wheel spin on low-friction surface
preconditions:
- Vehicle stationary on gravel (μ = 0.4)
- Rear-wheel drive configuration
test_steps:
1. Driver applies 100% throttle
2. Monitor rear wheel speeds vs vehicle speed
3. TCS should limit slip to 10-15%
pass_criteria:
- Slip ratio: 10-15% maintained
- 0-30 kph acceleration time: <6 seconds
- No sustained wheel spin (>30% slip)
- Engine torque reduction active during intervention
```
## ISO 26262 Safety Concept
### ASIL Decomposition for ESC
| Function | ASIL | Decomposition | Rationale |
|----------|------|---------------|-----------|
| Yaw rate sensing | ASIL-D | ASIL-C(C) + ASIL-B(B) | Dual IMU sensors with plausibility check |
| Brake intervention | ASIL-D | ASIL-C(C) + ASIL-B(B) | ESC ECU + ABS ECU redundancy |
| Stability control | ASIL-D | No decomposition | Single ESC ECU with internal diagnostics |
| TCS | ASIL-B | N/A | Lower safety criticality than ESC |
### Safety Mechanisms
1. **Sensor Plausibility**: Cross-check yaw rate gyro vs lateral accelerometer (kinematic consistency)
2. **Actuator Monitoring**: Pressure sensors verify commanded vs actual brake force
3. **Fail-Operational**: ESC degrades to ABS-only mode if yaw sensor fails
4. **Manual Override**: Driver can disable ESC (warning lamp), but TCS remains active
5. **Self-Test**: Power-on diagnostics, periodic runtime checks (watchdog, CRC)
## CAN Signal Definitions (DBC)
```dbc
BO_ 270 ESC_Status: 8 ESC
SG_ ESC_Active : 0|1@1+ (1,0) [0|1] "" PCM,TCM,HMI
SG_ TCS_Active : 1|1@1+ (1,0) [0|1] "" PCM,HMI
SG_ HHA_Active : 2|1@1+ (1,0) [0|1] "" HMI
SG_ YawRate : 8|16@1- (0.01,-327.68) [-327.68|327.67] "deg/s" ADAS,HMI
SG_ LateralAccel : 24|16@1- (0.001,-32.768) [-32.768|32.767] "m/s2" ADAS,HMI
SG_ SideslipAngle : 40|16@1- (0.001,-32.768) [-32.768|32.767] "rad" ADAS
BO_ 271 ESC_BrakeRequest: 8 ESC
SG_ BrakeForce_FL : 0|16@1+ (1,0) [0|65535] "N" ABS
SG_ BrakeForce_FR : 16|16@1+ (1,0) [0|65535] "N" ABS
SG_ BrakeForce_RL : 32|16@1+ (1,0) [0|65535] "N" ABS
SG_ BrakeForce_RR : 48|16@1+ (1,0) [0|65535] "N" ABS
```
## Tools and Calibration
- **IPG CarMaker**: Vehicle dynamics simulation, ESC algorithm validation
- **MATLAB/Simulink**: Model-based development, Kalman filter design
- **dSPACE ASM**: Vehicle dynamics testbed, ESC HIL testing
- **VI-grade**: Driving simulator for ESC tuning
- **Vector CANoe**: ESC CAN message verification
## References
- ISO 26262 (Functional Safety)
- FMVSS 126 (ESC regulation)
- UN ECE R13-H (ESC requirements)
- SAE J2564 (ESC test procedures)
---
## Suspension Control
# Active Suspension Control Skill
## Overview
Expert skill in active and semi-active suspension systems. Covers adaptive damping, air suspension control, ride height adjustment, active roll/pitch control, road preview systems, and comfort/sport mode tuning.
## Core Competencies
### 1. Adaptive Damping (Semi-Active)
- **Magnetorheological (MR) Dampers**: Variable damping via magnetic field
- **Continuously Variable Damping (CVD)**: Adjustable orifice valves
- **Skyhook Control**: Minimize body motion by damping to virtual sky reference
- **Mode Selection**: Comfort (soft), Normal, Sport (stiff)
### 2. Air Suspension Control
- **Ride Height Adjustment**: Lower at highway speed, raise for off-road
- **Load Leveling**: Maintain constant height regardless of passenger/cargo load
- **Compressor Management**: On-demand air supply, pressure reservoir
- **Leak Detection**: Monitor air loss, warn driver
### 3. Active Roll/Pitch Control
- **Anti-Roll Bars**: Active stabilizers with electric/hydraulic actuators
- **Roll Angle Limitation**: <3° body roll in 0.8g lateral acceleration
- **Pitch Suppression**: Reduce dive/squat during braking/acceleration
- **Actuator Bandwidth**: 10-20 Hz for responsive control
### 4. Road Preview (Camera/Lidar)
- **Surface Detection**: Identify potholes, speed bumps ahead
- **Predictive Damping**: Pre-adjust suspension before impact
- **Preview Distance**: 10-30 meters at highway speed
- **Vertical Velocity Compensation**: Minimize wheel displacement
### 5. Comfort vs Sport Tuning
- **Comfort**: Soft damping, maximize isolation, minimize body acceleration
- **Sport**: Stiff damping, minimize body roll, maximize grip
- **Adaptive**: Dynamic tuning based on road surface, driver input
## Control Algorithms
### Skyhook Damping Control
```c
// Minimize body motion by damping to virtual inertial reference
typedef struct {
float body_velocity; // Vertical velocity of sprung mass (m/s)
float wheel_velocity; // Vertical velocity of unsprung mass (m/s)
float damping_coeff_max; // Maximum damping (N·s/m)
float damping_coeff_min; // Minimum damping (N·s/m)
} Skyhook_Controller_t;
float Skyhook_CalculateDamping(Skyhook_Controller_t *sky) {
// Relative velocity (suspension deflection rate)
float rel_velocity = sky->body_velocity - sky->wheel_velocity;
// Skyhook control law
// If body moving up and suspension compressing: high damping
// If body moving down and suspension extending: high damping
// Otherwise: low damping (for ride comfort)
float damping_force;
if ((sky->body_velocity * rel_velocity) > 0) {
// Body and relative velocity same sign: high damping
damping_force = sky->damping_coeff_max * sky->body_velocity;
} else {
// Opposite signs: minimal damping
damping_force = sky->damping_coeff_min * rel_velocity;
}
return damping_force;
}
// Convert damping force to MR damper current
float MR_Damper_Current(float damping_force_target) {
// Magnetorheological damper: current controls viscosity
// Typical: 0-2A for damping range 500-3000 N·s/m
float current = (damping_force_target - 500.0f) / 1250.0f; // N·s/m → A
return CLAMP(current, 0.0f, 2.0f);
}
```
### Air Suspension Load Leveling
```c
typedef struct {
float target_height_mm;
float current_height_mm;
float load_mass_kg;
float air_pressure_bar[4]; // Per corner
} AirSuspension_t;
void AirSuspension_LoadLeveling(AirSuspension_t *air, float dt) {
// Measure current ride height
air->current_height_mm = Ultrasonic_ReadHeight();
// Estimate load from suspension deflection
float height_error = air->target_height_mm - air->current_height_mm;
// PI controller for height
static float height_integral = 0.0f;
height_integral += height_error * dt;
height_integral = CLAMP(height_integral, -50.0f, 50.0f);
float pressure_adjust = (KP_HEIGHT * height_error) + (KI_HEIGHT * height_integral);
// Distribute pressure to all four corners (equal distribution)
for (int i = 0; i < 4; i++) {
air->air_pressure_bar[i] += pressure_adjust;
air->air_pressure_bar[i] = CLAMP(air->air_pressure_bar[i], 3.0f, 12.0f);
// Command air valves
if (air->air_pressure_bar[i] > Sensor_ReadPressure(i)) {
AirValve_Inflate(i);
} else {
AirValve_Deflate(i);
}
}
// Activate compressor if reservoir low
if (Reservoir_Pressure < 10.0f) {
Compressor_Enable();
}
}
// Speed-dependent ride height
float AirSuspension_SpeedDependentHeight(float vehicle_speed_kph) {
// Lower vehicle at high speed for aerodynamics and stability
if (vehicle_speed_kph > 120.0f) {
return TARGET_HEIGHT_SPORT; // -20mm
} else if (vehicle_speed_kph > 80.0f) {
return TARGET_HEIGHT_NORMAL; // 0mm
} else {
return TARGET_HEIGHT_COMFORT; // +10mm
}
}
```
### Active Anti-Roll Control
```c
// Electric/hydraulic active stabilizer bars
typedef struct {
float lateral_accel;
float roll_angle_deg;
float target_roll_angle_deg;
float actuator_torque_nm[2]; // Front and rear
} ActiveRoll_Controller_t;
void ActiveRoll_Control(ActiveRoll_Controller_t *roll, float dt) {
// Target roll angle based on lateral acceleration
// Allow some roll for driver feedback, but limit excessive lean
roll->target_roll_angle_deg = roll->lateral_accel / GRAVITY * 1.5f; // degrees
roll->target_roll_angle_deg = CLAMP(roll->target_roll_angle_deg, -3.0f, 3.0f);
// PID controller for roll angle
float roll_error = roll->target_roll_angle_deg - roll->roll_angle_deg;
static float roll_integral = 0.0f, roll_prev_error = 0.0f;
roll_integral += roll_error * dt;
float roll_derivative = (roll_error - roll_prev_error) / dt;
roll_prev_error = roll_error;
float roll_torque = (KP_ROLL * roll_error) + (KI_ROLL * roll_integral) + (KD_ROLL * roll_derivative);
// Distribute torque front/rear (60/40 split typical)
roll->actuator_torque_nm[FRONT] = roll_torque * 0.60f;
roll->actuator_torque_nm[REAR] = roll_torque * 0.40f;
// Command actuators
ActiveStabilizer_SetTorque(FRONT, roll->actuator_torque_nm[FRONT]);
ActiveStabilizer_SetTorque(REAR, roll->actuator_torque_nm[REAR]);
}
```
### Road Preview with Camera
```c
typedef struct {
float preview_distance_m;
float obstacle_height_mm;
float time_to_impact_s;
bool pothole_detected;
} RoadPreview_t;
void RoadPreview_PredictiveDamping(RoadPreview_t *preview, float vehicle_speed) {
// Camera/lidar detects road surface ahead
preview->pothole_detected = Camera_DetectPothole(&preview->obstacle_height_mm);
if (preview->pothole_detected) {
preview->time_to_impact_s = preview->preview_distance_m / vehicle_speed;
// Pre-adjust damping before impact
if (preview->time_to_impact_s < 1.0f) {
// Soften damping to absorb impact
for (int wheel = 0; wheel < 4; wheel++) {
MR_Damper_SetCurrent(wheel, DAMPING_SOFT);
}
// After impact (100ms delay), return to normal
static float post_impact_timer = 0.0f;
post_impact_timer += DT;
if (post_impact_timer > 0.1f) {
for (int wheel = 0; wheel < 4; wheel++) {
MR_Damper_SetCurrent(wheel, DAMPING_NORMAL);
}
post_impact_timer = 0.0f;
preview->pothole_detected = false;
}
}
}
}
```
## Mode Selection State Machine
```c
typedef enum {
SUSP_MODE_COMFORT,
SUSP_MODE_NORMAL,
SUSP_MODE_SPORT,
SUSP_MODE_OFFROAD
} SuspensionMode_t;
void Suspension_ModeSelection(SuspensionMode_t mode) {
switch (mode) {
case SUSP_MODE_COMFORT:
// Soft damping, high ride height, minimal body control
MR_Damper_SetCoefficient(1000.0f); // N·s/m (soft)
AirSuspension_SetHeight(TARGET_HEIGHT_COMFORT);
ActiveRoll_SetGain(0.5f); // Allow some roll
break;
case SUSP_MODE_NORMAL:
// Balanced damping, standard height
MR_Damper_SetCoefficient(2000.0f); // N·s/m (medium)
AirSuspension_SetHeight(TARGET_HEIGHT_NORMAL);
ActiveRoll_SetGain(1.0f);
break;
case SUSP_MODE_SPORT:
// Stiff damping, low height, maximum body control
MR_Damper_SetCoefficient(3000.0f); // N·s/m (stiff)
AirSuspension_SetHeight(TARGET_HEIGHT_SPORT);
ActiveRoll_SetGain(1.5f); // Minimize roll aggressively
break;
case SUSP_MODE_OFFROAD:
// Soft damping, maximum height, long travel
MR_Damper_SetCoefficient(800.0f); // N·s/m (very soft)
AirSuspension_SetHeight(TARGET_HEIGHT_OFFROAD); // +40mm
ActiveRoll_Disable(); // Allow articulation
break;
}
}
```
## AUTOSAR Integration
```c
FUNC(void, SUSP_CODE) Suspension_MainFunction(void) {
// Read sensors (100Hz task)
Rte_Read_IMU_RollAngle(&roll_angle);
Rte_Read_IMU_PitchAngle(&pitch_angle);
Rte_Read_IMU_VerticalAccel(&vertical_accel);
Rte_Read_HeightSensors_FL(&height_fl);
Rte_Read_HMI_SuspensionMode(&mode);
// Estimate body/wheel velocities
static float body_pos_prev = 0.0f;
float body_pos = (height_fl + height_fr + height_rl + height_rr) / 4.0f;
float body_velocity = (body_pos - body_pos_prev) / DT;
body_pos_prev = body_pos;
// Skyhook damping control
Skyhook_Controller_t sky = {.body_velocity = body_velocity};
float damping_force = Skyhook_CalculateDamping(&sky);
// Mode-dependent gain
switch (mode) {
case SUSP_MODE_COMFORT: damping_force *= 0.6f; break;
case SUSP_MODE_SPORT: damping_force *= 1.2f; break;
}
// Apply to dampers
for (int i = 0; i < 4; i++) {
float current = MR_Damper_Current(damping_force);
Rte_Write_MR_Damper_Current(i, current);
}
// Air suspension load leveling
AirSuspension_t air;
air.target_height_mm = AirSuspension_SpeedDependentHeight(vehicle_speed);
AirSuspension_LoadLeveling(&air, DT);
// Active roll control
ActiveRoll_Controller_t roll_ctrl = {.lateral_accel = lateral_accel, .roll_angle_deg = roll_angle};
ActiveRoll_Control(&roll_ctrl, DT);
}
```
## HIL Test Scenarios
### Test Case 1: Comfort Mode on Rough Road
```yaml
test_id: SUSP_001_COMFORT_ROUGH
objective: Maximize isolation in comfort mode
preconditions:
- Suspension mode: Comfort
- Road: Belgian paving (high frequency bumps)
- Vehicle speed: 60 kph
pass_criteria:
- Body vertical acceleration: <0.5 g RMS
- Damping force: 500-1200 N (soft)
- Passenger comfort rating: >7/10
```
### Test Case 2: Sport Mode Cornering
```yaml
test_id: SUSP_002_SPORT_CORNERING
objective: Minimize body roll in sport mode
preconditions:
- Suspension mode: Sport
- Skidpad cornering: 0.9g lateral
- Vehicle speed: 80 kph
pass_criteria:
- Body roll angle: <2.5 degrees
- Active roll actuator torque: 1500-2500 Nm
- Damping force: 2500-3500 N (stiff)
```
## References
- ISO 26262 (Safety for active systems)
- SAE J2877 (Suspension test procedures)
---
## Tcm Transmission Control
# TCM Transmission Control Module Skill
## Overview
Expert skill in Transmission Control Module (TCM) development for automatic transmissions (AT), dual-clutch transmissions (DCT), and continuously variable transmissions (CVT). Covers gear shift strategy, shift quality optimization, torque converter lockup, adaptive learning, clutch control, and AUTOSAR integration.
## Core Competencies
### 1. Gear Shift Strategy
- **Shift Points**: Upshift/downshift based on throttle position, vehicle speed, driver intent
- **Kickdown**: Forced downshift for overtaking (throttle >80% pressed rapidly)
- **Skip Shifts**: Direct shift (e.g., 3rd→5th) for fuel economy
- **Grade Logic**: Hold lower gear on uphill, prevent hunting on downhill
- **Manual Mode**: Driver-selected gear hold, upshift/downshift on paddle command
### 2. Shift Quality Optimization
- **Shift Time**: Target 200-400ms for smooth shift, <200ms for performance mode
- **Torque Phase**: Reduce engine torque during clutch handover to minimize jerk
- **Inertia Phase**: Synchronize clutch engagement with gear ratio change
- **Fill Time Compensation**: Hydraulic delay compensation for temperature, wear
- **Shift Jerk Metric**: <10 m/s³ for comfort, <15 m/s³ for sport mode
### 3. Torque Converter Lockup (AT)
- **Partial Lockup**: Slip control (50-100 RPM slip) for vibration isolation
- **Full Lockup**: 100% mechanical coupling for efficiency (highway cruise)
- **Unlock Conditions**: Deceleration, gear shift, torque demand change
- **Shudder Mitigation**: Dither control to break stick-slip friction
### 4. Adaptive Shift Learning
- **Clutch Fill Learning**: Adapt hydraulic pressure for consistent shift timing
- **Clutch Wear Compensation**: Increase pressure as friction material wears
- **Driver Style Recognition**: Aggressive (sport shifts) vs economy (smooth shifts)
- **Altitude Adaptation**: Adjust for engine power loss at high altitude
### 5. Dual-Clutch Control (DCT)
- **Odd/Even Clutch Management**: Pre-select next gear before shift
- **Clutch Slip Control**: Modulate pressure for smooth engagement
- **Launch Control**: High-RPM clutch slip for maximum acceleration
- **Creep Mode**: Low-speed clutch modulation for stop-and-go traffic
### 6. CVT Control
- **Ratio Control**: Continuously variable primary/secondary pulley hydraulics
- **Belt Slip Prevention**: Clamp force management to prevent belt slippage
- **Simulated Gears**: Fixed ratio steps for driver feedback (virtual gears)
- **Manual Mode**: Hold fixed ratios mimicking 6-8 speed transmission
## Control Algorithms
### Shift Decision Logic (State Machine)
```c
typedef enum {
GEAR_PARK,
GEAR_REVERSE,
GEAR_NEUTRAL,
GEAR_DRIVE_1,
GEAR_DRIVE_2,
GEAR_DRIVE_3,
GEAR_DRIVE_4,
GEAR_DRIVE_5,
GEAR_DRIVE_6,
GEAR_MANUAL_MODE
} TransmissionGear_t;
typedef struct {
float throttle_percent;
float vehicle_speed_kph;
float engine_rpm;
float engine_torque_nm;
bool kickdown_switch;
bool manual_mode_active;
uint8_t manual_gear_request;
} TCM_Input_t;
TransmissionGear_t TCM_ShiftLogic(TCM_Input_t *input, TransmissionGear_t current_gear) {
// Manual mode: honor driver gear request
if (input->manual_mode_active) {
// Prevent over-rev: deny downshift if RPM would exceed limit
float predicted_rpm = input->vehicle_speed_kph * GearRatio[input->manual_gear_request] * 60.0f / (TIRE_DIAMETER_M * PI * 3.6f);
if (predicted_rpm > RPM_REDLINE) {
return current_gear; // Deny shift
}
return input->manual_gear_request;
}
// Kickdown: immediate downshift for max acceleration
if (input->kickdown_switch && current_gear > GEAR_DRIVE_2) {
return current_gear - 1; // Drop one gear
}
// Lookup shift points from 3D map (Vehicle Speed x Throttle)
uint8_t upshift_speed = ShiftMap_Upshift[current_gear][input->throttle_percent];
uint8_t downshift_speed = ShiftMap_Downshift[current_gear][input->throttle_percent];
// Upshift decision
if (input->vehicle_speed_kph > upshift_speed && current_gear < GEAR_DRIVE_6) {
// Check if skip-shift conditions met (light throttle, fuel economy mode)
if (input->throttle_percent < 30.0f && Eco_Mode_Active) {
if (current_gear == GEAR_DRIVE_3) {
return GEAR_DRIVE_5; // Skip 4th gear
}
}
return current_gear + 1;
}
// Downshift decision
if (input->vehicle_speed_kph < downshift_speed && current_gear > GEAR_DRIVE_1) {
return current_gear - 1;
}
// Hold current gear
return current_gear;
}
```
### Shift Execution Control
```c
typedef enum {
SHIFT_IDLE,
SHIFT_TORQUE_PHASE,
SHIFT_INERTIA_PHASE,
SHIFT_COMPLETE
} ShiftPhase_t;
typedef struct {
uint16_t fill_time_ms; // Pre-charge hydraulic clutch
float torque_reduction_percent; // Engine torque cut during shift
float oncoming_clutch_pressure; // Engaging clutch
float offgoing_clutch_pressure; // Releasing clutch
} ShiftControl_t;
void TCM_ExecuteShift(uint8_t target_gear, ShiftControl_t *ctrl, float dt) {
static ShiftPhase_t phase = SHIFT_IDLE;
static float phase_timer = 0.0f;
switch (phase) {
case SHIFT_IDLE:
// Request torque reduction from ECM
CAN_Send_TorqueReduction(ctrl->torque_reduction_percent);
// Pre-fill oncoming clutch (rapid pressure rise, no engagement yet)
Hydraulic_SetPressure(ONCOMING_CLUTCH, FILL_PRESSURE_BAR);
phase_timer = ctrl->fill_time_ms / 1000.0f; // Convert to seconds
phase = SHIFT_TORQUE_PHASE;
break;
case SHIFT_TORQUE_PHASE:
// Transfer torque from offgoing to oncoming clutch
phase_timer -= dt;
// Ramp up oncoming clutch pressure
ctrl->oncoming_clutch_pressure += (TORQUE_PHASE_PRESSURE_RATE * dt);
// Ramp down offgoing clutch pressure
ctrl->offgoing_clutch_pressure -= (TORQUE_PHASE_PRESSURE_RATE * dt);
Hydraulic_SetPressure(ONCOMING_CLUTCH, ctrl->oncoming_clutch_pressure);
Hydraulic_SetPressure(OFFGOING_CLUTCH, ctrl->offgoing_clutch_pressure);
// Torque phase complete when clutch slip speed crosses zero
if (Clutch_SlipSpeed() < 10.0f) { // RPM
phase = SHIFT_INERTIA_PHASE;
}
break;
case SHIFT_INERTIA_PHASE:
// Synchronize transmission shaft speed to new gear ratio
float target_shaft_speed = Input_Speed * GearRatio[target_gear];
float actual_shaft_speed = Output_Speed;
// PI controller for smooth synchronization
static float inertia_integral = 0.0f;
float speed_error = target_shaft_speed - actual_shaft_speed;
inertia_integral += speed_error * KI_INERTIA * dt;
float pressure_adjust = (KP_INERTIA * speed_error) + inertia_integral;
ctrl->oncoming_clutch_pressure += pressure_adjust;
Hydraulic_SetPressure(ONCOMING_CLUTCH, ctrl->oncoming_clutch_pressure);
// Inertia phase complete when speed error <5 RPM
if (fabs(speed_error) < 5.0f) {
phase = SHIFT_COMPLETE;
}
break;
case SHIFT_COMPLETE:
// Full lockup of oncoming clutch
Hydraulic_SetPressure(ONCOMING_CLUTCH, MAX_LINE_PRESSURE);
Hydraulic_SetPressure(OFFGOING_CLUTCH, 0.0f);
// Restore full engine torque
CAN_Send_TorqueReduction(0.0f);
// Update adaptive shift learning
Adaptive_UpdateShiftQuality(target_gear, phase_timer);
// Reset to idle
phase = SHIFT_IDLE;
break;
}
}
```
### Torque Converter Lockup Control
```c
typedef enum {
TC_UNLOCKED,
TC_PARTIAL_LOCKUP,
TC_FULL_LOCKUP
} TorqueConverter_State_t;
TorqueConverter_State_t TCM_TorqueConverterControl(float vehicle_speed_kph, float throttle_percent,
TransmissionGear_t gear, float coolant_temp) {
// No lockup in 1st gear or during warmup
if (gear == GEAR_DRIVE_1 || coolant_temp < 50.0f) {
return TC_UNLOCKED;
}
// Unlock during heavy acceleration (torque multiplication benefit)
if (throttle_percent > 70.0f) {
return TC_UNLOCKED;
}
// Full lockup at highway cruise (>60 kph, light throttle)
if (vehicle_speed_kph > 60.0f && throttle_percent < 40.0f) {
return TC_FULL_LOCKUP;
}
// Partial lockup for efficiency while maintaining comfort
if (vehicle_speed_kph > 30.0f && gear >= GEAR_DRIVE_2) {
return TC_PARTIAL_LOCKUP;
}
return TC_UNLOCKED;
}
// Slip control for partial lockup (target 50 RPM slip)
void TCM_TorqueConverterSlipControl(float target_slip_rpm, float dt) {
float engine_rpm = CAN_Read_EngineRPM();
float turbine_rpm = Sensor_Read_TurbineSpeed();
float actual_slip_rpm = engine_rpm - turbine_rpm;
// PI controller
static float slip_integral = 0.0f;
float slip_error = target_slip_rpm - actual_slip_rpm;
slip_integral += slip_error * KI_SLIP * dt;
slip_integral = CLAMP(slip_integral, -5.0f, 5.0f);
float clutch_pressure = LOCKUP_BASE_PRESSURE + (KP_SLIP * slip_error) + slip_integral;
clutch_pressure = CLAMP(clutch_pressure, 2.0f, 15.0f); // bar
Hydraulic_SetPressure(TC_LOCKUP_CLUTCH, clutch_pressure);
// Shudder mitigation: dither pressure ±0.5 bar at 10 Hz
if (Shudder_Detected()) {
float dither = 0.5f * sin(2.0f * PI * 10.0f * System_Time);
Hydraulic_SetPressure(TC_LOCKUP_CLUTCH, clutch_pressure + dither);
}
}
```
### Adaptive Shift Learning
```c
typedef struct {
float fill_time_learned_ms[6]; // Learned fill time per gear
float pressure_offset_bar[6]; // Clutch pressure offset per gear
uint16_t shift_count[6]; // Number of shifts per gear
float avg_shift_quality[6]; // Running average shift jerk
} AdaptiveData_t;
void Adaptive_UpdateShiftQuality(uint8_t gear, float shift_duration_s) {
static AdaptiveData_t adapt = {0};
// Measure shift jerk (longitudinal acceleration derivative)
float accel_before = IMU_Read_LongitudinalAccel();
Delay_ms(100);
float accel_after = IMU_Read_LongitudinalAccel();
float shift_jerk = fabs(accel_after - accel_before) / 0.1f; // m/s³
// Update running average
adapt.avg_shift_quality[gear] = (adapt.avg_shift_quality[gear] * adapt.shift_count[gear] + shift_jerk) / (adapt.shift_count[gear] + 1);
adapt.shift_count[gear]++;
// If shift quality poor (jerk > 12 m/s³), adjust parameters
if (shift_jerk > 12.0f) {
// Too harsh: shift was too fast, increase fill time or reduce pressure
if (shift_duration_s < 0.3f) {
adapt.fill_time_learned_ms[gear] += 5; // Add 5ms fill time
} else {
adapt.pressure_offset_bar[gear] -= 0.5f; // Reduce pressure
}
} else if (shift_jerk < 5.0f && shift_duration_s > 0.5f) {
// Too slow: shift was sluggish, decrease fill time or increase pressure
adapt.fill_time_learned_ms[gear] -= 3;
adapt.pressure_offset_bar[gear] += 0.3f;
}
// Clamp adaptive values to reasonable limits
adapt.fill_time_learned_ms[gear] = CLAMP(adapt.fill_time_learned_ms[gear], 50, 300);
adapt.pressure_offset_bar[gear] = CLAMP(adapt.pressure_offset_bar[gear], -3.0f, 3.0f);
// Save to EEPROM every 50 shifts
if (adapt.shift_count[gear] % 50 == 0) {
EEPROM_Write_AdaptiveData(&adapt);
}
}
```
### DCT Launch Control
```c
// Dual-Clutch Transmission launch control for max acceleration
typedef struct {
float target_rpm; // Launch RPM (e.g., 4000 RPM)
float clutch_slip_rate; // Target slip rate for smooth engagement
bool launch_active;
} LaunchControl_t;
void DCT_LaunchControl(LaunchControl_t *launch, float brake_pedal, float throttle_pedal) {
// Activation: brake + throttle pressed, vehicle stopped
if (brake_pedal > 90.0f && throttle_pedal > 90.0f && Vehicle_Speed < 2.0f) {
launch->launch_active = true;
// Hold engine RPM at target by modulating clutch 1 (odd gears, 1st gear)
float engine_rpm = CAN_Read_EngineRPM();
float rpm_error = launch->target_rpm - engine_rpm;
// PD controller for clutch pressure
static float prev_error = 0.0f;
float derivative = (rpm_error - prev_error) / DT;
prev_error = rpm_error;
float clutch_pressure = LAUNCH_BASE_PRESSURE + (KP_LAUNCH * rpm_error) + (KD_LAUNCH * derivative);
clutch_pressure = CLAMP(clutch_pressure, 5.0f, 20.0f);
Hydraulic_SetPressure(DCT_CLUTCH_1, clutch_pressure);
// Pre-select 1st gear
DCT_SelectGear(GEAR_DRIVE_1);
}
// Launch: brake released, control clutch slip rate
if (launch->launch_active && brake_pedal < 10.0f) {
float wheel_speed = Sensor_Read_WheelSpeed();
float engine_speed = CAN_Read_EngineRPM() / GearRatio[GEAR_DRIVE_1];
float slip_speed = engine_speed - wheel_speed;
// Target slip decreases over time (500 RPM → 0 over 1 second)
static float launch_timer = 0.0f;
launch_timer += DT;
float target_slip = 500.0f * (1.0f - launch_timer);
if (target_slip < 0.0f) {
target_slip = 0.0f;
launch->launch_active = false; // Launch complete
launch_timer = 0.0f;
}
// Control clutch to achieve target slip
float slip_error = target_slip - slip_speed;
static float slip_integral = 0.0f;
slip_integral += slip_error * KI_LAUNCH_SLIP * DT;
float clutch_pressure = LAUNCH_BASE_PRESSURE + (KP_LAUNCH_SLIP * slip_error) + slip_integral;
Hydraulic_SetPressure(DCT_CLUTCH_1, clutch_pressure);
// Pre-select 2nd gear on even clutch for seamless 1→2 shift
if (engine_rpm > 5000 || vehicle_speed > 30.0f) {
DCT_SelectGear_Clutch2(GEAR_DRIVE_2);
}
}
}
```
## Calibration Tables
### Upshift Map (Vehicle Speed x Throttle)
```c
// Upshift speeds in kph (rows = current gear, cols = throttle %)
const uint8_t ShiftMap_Upshift[6][11] = {
// Throttle: 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
/* 1st→2nd */ {15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65},
/* 2nd→3rd */ {30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 85},
/* 3rd→4th */ {50, 55, 60, 65, 70, 75, 80, 85, 95, 105, 120},
/* 4th→5th */ {70, 75, 80, 85, 90, 95, 100, 110, 120, 135, 150},
/* 5th→6th */ {90, 100, 110, 115, 120, 125, 130, 140, 155, 170, 190},
/* 6th */ { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0} // No upshift from 6th
};
// Downshift speeds in kph
const uint8_t ShiftMap_Downshift[6][11] = {
// Throttle: 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
/* 1st */ { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, // No downshift from 1st
/* 2nd→1st */ {10, 12, 15, 18, 20, 22, 25, 28, 30, 32, 35},
/* 3rd→2nd */ {25, 28, 32, 36, 40, 42, 45, 48, 50, 55, 60},
/* 4th→3rd */ {45, 48, 52, 56, 60, 63, 66, 70, 75, 80, 90},
/* 5th→4th */ {65, 68, 72, 76, 80, 83, 86, 92, 98, 105, 115},
/* 6th→5th */ {85, 90, 95, 100, 105, 108, 112, 118, 125, 135, 145}
};
```
### Clutch Fill Time Map (Temperature Compensation)
```c
// Fill time in milliseconds (rows = gear, cols = ATF temp °C)
const uint16_t FillTimeMap[6][7] = {
// ATF Temp: -10°C 0°C 20°C 40°C 60°C 80°C 100°C
/* 1st gear */ {250, 220, 180, 150, 130, 120, 110},
/* 2nd gear */ {240, 210, 175, 145, 125, 115, 105},
/* 3rd gear */ {230, 200, 170, 140, 120, 110, 100},
/* 4th gear */ {225, 195, 165, 135, 118, 108, 98},
/* 5th gear */ {220, 190, 160, 132, 115, 105, 95},
/* 6th gear */ {215, 185, 158, 130, 112, 102, 93}
};
```
## State Machine: Transmission Mode Selection
```c
typedef enum {
TRANS_MODE_PARK,
TRANS_MODE_REVERSE,
TRANS_MODE_NEUTRAL,
TRANS_MODE_DRIVE_ECO,
TRANS_MODE_DRIVE_NORMAL,
TRANS_MODE_DRIVE_SPORT,
TRANS_MODE_MANUAL
} TransmissionMode_t;
void TCM_ModeStateMachine(void) {
static TransmissionMode_t mode = TRANS_MODE_PARK;
// Gear selector input
GearSelector_t selector = Read_GearSelector();
switch (mode) {
case TRANS_MODE_PARK:
// Lock output shaft mechanically
Engage_ParkingPawl();
Allow_EngineStart = true;
if (selector == SEL_REVERSE && Brake_Pressed()) {
mode = TRANS_MODE_REVERSE;
} else if (selector == SEL_NEUTRAL) {
mode = TRANS_MODE_NEUTRAL;
}
break;
case TRANS_MODE_REVERSE:
Disengage_ParkingPawl();
Engage_ReverseGear();
Allow_EngineStart = false;
if (selector == SEL_PARK && Vehicle_Speed < 2.0f) {
mode = TRANS_MODE_PARK;
}
break;
case TRANS_MODE_NEUTRAL:
Disengage_AllGears();
Allow_EngineStart = true;
if (selector == SEL_DRIVE) {
// Select drive mode based on driver preference
if (EcoMode_Button_Pressed) {
mode = TRANS_MODE_DRIVE_ECO;
} else if (SportMode_Button_Pressed) {
mode = TRANS_MODE_DRIVE_SPORT;
} else {
mode = TRANS_MODE_DRIVE_NORMAL;
}
}
break;
case TRANS_MODE_DRIVE_ECO:
// Early upshifts, torque converter lockup, skip shifts
Shift_Aggressiveness = 0.3f;
Torque_Converter_Lockup_Threshold = 30.0f; // kph
Enable_SkipShifts = true;
if (SportMode_Button_Pressed) {
mode = TRANS_MODE_DRIVE_SPORT;
}
break;
case TRANS_MODE_DRIVE_SPORT:
// Late upshifts, hold gears longer, no lockup in low gears
Shift_Aggressiveness = 0.8f;
Torque_Converter_Lockup_Threshold = 60.0f;
Enable_SkipShifts = false;
if (EcoMode_Button_Pressed) {
mode = TRANS_MODE_DRIVE_ECO;
} else if (Manual_Paddle_Shift) {
mode = TRANS_MODE_MANUAL;
}
break;
case TRANS_MODE_MANUAL:
// Driver controls shifts via paddle shifters
Disable_AutomaticShifts();
if (Upshift_Paddle_Pressed && Current_Gear < GEAR_DRIVE_6) {
Request_Shift(Current_Gear + 1);
} else if (Downshift_Paddle_Pressed && Current_Gear > GEAR_DRIVE_1) {
Request_Shift(Current_Gear - 1);
}
// Timeout after 10 seconds with no paddle input → return to auto
if (Paddle_Idle_Time > 10.0f) {
mode = TRANS_MODE_DRIVE_NORMAL;
}
break;
}
}
```
## AUTOSAR Integration
```c
// AUTOSAR Runnable for TCM main control (20ms cyclic)
FUNC(void, TCM_CODE) TCM_MainFunction(void) {
// Read inputs via AUTOSAR RTE
Rte_Read_SensorCluster_VehicleSpeed(&vehicle_speed_kph);
Rte_Read_SensorCluster_ThrottlePosition(&throttle_percent);
Rte_Read_SensorCluster_BrakePedal(&brake_pedal);
Rte_Read_CAN_EngineSpeed(&engine_rpm);
Rte_Read_CAN_EngineTorque(&engine_torque_nm);
Rte_Read_SensorCluster_InputShaftSpeed(&input_shaft_rpm);
Rte_Read_SensorCluster_OutputShaftSpeed(&output_shaft_rpm);
Rte_Read_SensorCluster_ATF_Temperature(&atf_temp);
Rte_Read_HMI_GearSelector(&gear_selector);
Rte_Read_HMI_DriveMode(&drive_mode);
// Shift decision logic
TCM_Input_t input = {
.throttle_percent = throttle_percent,
.vehicle_speed_kph = vehicle_speed_kph,
.engine_rpm = engine_rpm,
.engine_torque_nm = engine_torque_nm,
.kickdown_switch = (throttle_percent > 85.0f),
.manual_mode_active = (drive_mode == DRIVE_MODE_MANUAL)
};
TransmissionGear_t target_gear = TCM_ShiftLogic(&input, current_gear);
// Execute shift if target gear differs
if (target_gear != current_gear) {
ShiftControl_t shift_ctrl = {
.fill_time_ms = FillTimeMap[target_gear][ATF_TempIndex(atf_temp)],
.torque_reduction_percent = 30.0f
};
TCM_ExecuteShift(target_gear, &shift_ctrl, 0.02f);
}
// Torque converter lockup control
TorqueConverter_State_t tc_state = TCM_TorqueConverterControl(vehicle_speed_kph, throttle_percent, current_gear, atf_temp);
// Write outputs via AUTOSAR RTE
Rte_Write_ActuatorCluster_CurrentGear(current_gear);
Rte_Write_ActuatorCluster_TorqueConverterState(tc_state);
Rte_Write_CAN_TorqueReductionRequest(shift_in_progress ? 30.0f : 0.0f);
}
```
## HIL Test Scenarios
### Test Case 1: Upshift Quality (2nd→3rd)
```yaml
test_id: TCM_001_UPSHIFT_QUALITY
objective: Validate shift smoothness and duration
preconditions:
- ATF temperature: 80°C
- Current gear: 2nd
- Vehicle speed: 55 kph
- Throttle: 40%
test_steps:
1. Trigger upshift condition (speed exceeds upshift threshold)
2. Monitor longitudinal acceleration during shift
3. Measure shift duration (torque phase + inertia phase)
4. Calculate shift jerk (derivative of acceleration)
pass_criteria:
- Shift duration: 250-400 ms
- Peak jerk: <10 m/s³
- No audible clunk or harshness
- Output shaft speed synchronized within 5 RPM
```
### Test Case 2: Launch Control (DCT)
```yaml
test_id: TCM_002_LAUNCH_CONTROL
objective: Validate launch control for 0-100 kph acceleration
preconditions:
- Vehicle stationary
- Engine warmed up
- Sport mode active
test_steps:
1. Driver presses brake + throttle 100%
2. Monitor engine RPM held at target (4000 RPM)
3. Driver releases brake
4. Monitor clutch slip rate during launch
5. Measure 0-100 kph time
pass_criteria:
- Engine RPM held at 4000 ±50 RPM during launch prep
- Clutch slip rate: 500→0 RPM over 1.0 second
- No wheel spin (traction control coordinated)
- 0-100 kph: <6.5 seconds (performance target)
- 1→2 shift seamless (pre-selected on clutch 2)
```
### Test Case 3: Adaptive Learning Validation
```yaml
test_id: TCM_003_ADAPTIVE_LEARNING
objective: Verify adaptive shift quality improvement over drive cycles
preconditions:
- Clear adaptive memory (factory reset)
- ATF temperature: 60°C
test_steps:
1. Perform 100 upshifts (2nd→3rd) at consistent conditions
2. Record shift jerk for first 10 shifts (baseline)
3. Record shift jerk for last 10 shifts (adapted)
4. Compare learned fill time vs initial value
pass_criteria:
- Shift jerk improvement: >20% reduction baseline→adapted
- Fill time convergence: Within ±10ms of optimal
- No false adaptations (stable parameters after convergence)
- Adaptive data saved to EEPROM after 50 shifts
```
## ISO 26262 Safety Concept
### ASIL Decomposition for TCM
| Function | ASIL | Decomposition | Rationale |
|----------|------|---------------|-----------|
| Gear selection | ASIL-D | ASIL-C(C) + ASIL-B(B) | Position sensor redundancy (dual Hall sensors) |
| Clutch pressure control | ASIL-C | ASIL-B(B) + ASIL-A(A) | Hydraulic valve dual-coil design |
| Park lock | ASIL-D | No decomposition | Mechanical pawl failsafe (unpowered lock) |
| Launch control | QM | N/A | Performance feature, not safety-critical |
### Safety Mechanisms
1. **Gear Sensor Plausibility**: Compare input shaft speed vs vehicle speed for each gear (detect false neutral)
2. **Hydraulic Pressure Monitoring**: Pressure sensors on each clutch pack to verify commanded vs actual
3. **Park Lock Verification**: Microswitch confirms pawl engagement before allowing engine start
4. **Neutral Safety Switch**: Prevent engine start unless Park or Neutral selected
5. **Limp-Home Mode**: Default to 3rd gear if shift solenoids fail (mechanical valving)
## CAN Signal Definitions (DBC)
```dbc
BO_ 260 TCM_Status: 8 TCM
SG_ CurrentGear : 0|4@1+ (1,0) [0|15] "" PCM,ESC,HMI
SG_ TargetGear : 4|4@1+ (1,0) [0|15] "" PCM,ESC
SG_ ShiftInProgress : 8|1@1+ (1,0) [0|1] "" PCM,ESC
SG_ TorqueConverterLocked : 9|1@1+ (1,0) [0|1] "" PCM,HMI
SG_ ManualModeActive : 10|1@1+ (1,0) [0|1] "" PCM,HMI
SG_ ATF_Temperature : 16|8@1- (1,-40) [-40|215] "degC" PCM,HMI
SG_ TransmissionTorque : 24|16@1+ (0.5,-500) [-500|32267.5] "Nm" PCM,ESC
BO_ 261 TCM_TorqueRequest: 4 TCM
SG_ TorqueReduction : 0|8@1+ (0.5,0) [0|127.5] "%" PCM
SG_ TorqueHoldRequest : 8|1@1+ (1,0) [0|1] "" PCM
SG_ LaunchControlActive : 9|1@1+ (1,0) [0|1] "" PCM,ESC
```
## Tools and Calibration
- **INCA/CANape**: Transmission calibration, shift point tuning, hydraulic pressure optimization
- **dSPACE MicroAutoBox**: Rapid control prototyping, shift algorithm development
- **AVL InMotion**: Powertrain testbed, transmission dynamometer testing
- **Vector CANoe**: TCM simulation, CAN database management
- **ATI Vision**: TCM flashing, diagnostic trouble code management
## References
- SAE J2807 (Transmission Performance Standards)
- ISO 26262 (Functional Safety for TCM)
- AUTOSAR Transmission Manager specification
- SAE J1979 (OBD-II for TCM diagnostics)
---
## Vehicle Dynamics Integration
# Vehicle Dynamics Integration Skill
## Overview
Expert skill in integrated chassis control systems coordinating ESC, ABS, EPS, suspension, torque vectoring, and all-wheel drive (AWD). Covers vehicle motion control, lateral/longitudinal dynamics models, torque distribution strategies, and multi-domain coordination.
## Core Competencies
### 1. Integrated Chassis Controller (ICC)
- **Central Coordination**: Single ECU arbitrates ESC, ABS, EPS, suspension requests
- **Priority Management**: Safety systems (ESC) override comfort systems (suspension)
- **Torque Budget**: Distribute available propulsion/braking torque optimally
- **State Estimation**: Fuse sensors for accurate vehicle state (β, ax, ay, ψ̇)
### 2. Torque Vectoring
- **Left-Right Distribution**: Differential brake force or motor torque for yaw control
- **Understeer Mitigation**: Send more torque to outside wheel in corner
- **Oversteer Correction**: Reduce inside wheel torque, increase outside
- **Performance Enhancement**: Faster corner entry/exit via active yaw moment
### 3. All-Wheel Drive (AWD) Control
- **Torque Split**: Front/rear distribution (50/50 default, dynamic adjustment)
- **Predictive Engagement**: Pre-engage rear axle before slip detected
- **Coupling Control**: Electro-mechanical clutch or active differential
- **Efficiency Mode**: Disconnect rear axle for FWD-only cruising (fuel economy)
### 4. Vehicle Motion Controller (VMC)
- **Reference Model**: Ideal vehicle response (bicycle model, single-track)
- **MIMO Control**: Multi-input (steering, throttle, brake) multi-output (ax, ay, ψ̇)
- **MPC (Model Predictive Control)**: Optimal control over prediction horizon
- **Cascaded Control**: High-level (trajectory) → mid-level (motion) → low-level (actuators)
### 5. Lateral/Longitudinal Dynamics
- **Bicycle Model**: 2-DOF model for lateral dynamics (yaw + sideslip)
- **Tire Models**: Pacejka Magic Formula, linear approximation for control
- **Load Transfer**: Vertical load changes affect lateral force capacity
- **Combined Slip**: Friction ellipse for simultaneous braking + cornering
## Control Algorithms
### Bicycle Model (Reference Yaw Rate)
```c
// 2-DOF bicycle model for vehicle lateral dynamics
typedef struct {
float mass; // Vehicle mass (kg)
float yaw_inertia; // Yaw moment of inertia (kg⋅m²)
float wheelbase; // Front to rear axle distance (m)
float a, b; // CG to front/rear axle (m)
float cf, cr; // Front/rear cornering stiffness (N/rad)
} BicycleModel_t;
void BicycleModel_Update(BicycleModel_t *model, float delta, float vx, float dt) {
// State: [beta, psi_dot] (sideslip angle, yaw rate)
static float beta = 0.0f, psi_dot = 0.0f;
// Tire slip angles
float alpha_f = delta - (beta + model->a * psi_dot / vx);
float alpha_r = -(beta - model->b * psi_dot / vx);
// Lateral tire forces (linear approximation)
float Fyf = model->cf * alpha_f;
float Fyr = model->cr * alpha_r;
// Equations of motion
float beta_dot = (Fyf + Fyr) / (model->mass * vx) - psi_dot;
float psi_ddot = (model->a * Fyf - model->b * Fyr) / model->yaw_inertia;
// Integrate
beta += beta_dot * dt;
psi_dot += psi_ddot * dt;
// Output reference yaw rate
ref_yaw_rate = psi_dot;
}
```
### Torque Vectoring Distribution
```c
typedef struct {
float yaw_moment_desired; // From ESC or driver intent (N⋅m)
float total_torque; // Available propulsion torque (N⋅m)
float left_torque; // Left wheels
float right_torque; // Right wheels
float track_width; // Left-right wheel distance (m)
} TorqueVectoring_t;
void TorqueVectoring_Distribute(TorqueVectoring_t *tv) {
// Base torque split (50/50)
float base_torque_per_side = tv->total_torque / 2.0f;
// Additional torque difference to create yaw moment
// Yaw moment = (T_right - T_left) * track_width / 2
float torque_diff = tv->yaw_moment_desired / (tv->track_width / 2.0f);
// Apply differential
tv->left_torque = base_torque_per_side - torque_diff / 2.0f;
tv->right_torque = base_torque_per_side + torque_diff / 2.0f;
// Limit torque per side (motor/brake capability)
tv->left_torque = CLAMP(tv->left_torque, -5000.0f, 5000.0f);
tv->right_torque = CLAMP(tv->right_torque, -5000.0f, 5000.0f);
// Send to drivetrain
CAN_Send_LeftWheelTorque(tv->left_torque);
CAN_Send_RightWheelTorque(tv->right_torque);
}
```
### AWD Torque Split Control
```c
typedef struct {
float front_torque_percent; // 0-100%
float rear_torque_percent; // 0-100%
float front_slip; // Front axle slip ratio
float rear_slip; // Rear axle slip ratio
bool efficiency_mode; // Disconnect rear for FWD
} AWD_Controller_t;
void AWD_TorqueSplit(AWD_Controller_t *awd, float total_torque) {
// Default: 50/50 split for balanced traction
awd->front_torque_percent = 50.0f;
awd->rear_torque_percent = 50.0f;
// Efficiency mode: FWD only (highway cruising)
if (awd->efficiency_mode && total_torque < 500.0f) {
awd->front_torque_percent = 100.0f;
awd->rear_torque_percent = 0.0f;
Clutch_DisconnectRear();
return;
} else {
Clutch_EngageRear();
}
// Dynamic adjustment based on slip
if (awd->front_slip > 0.15f) {
// Front slipping: send more torque to rear
awd->rear_torque_percent += 10.0f;
awd->front_torque_percent -= 10.0f;
} else if (awd->rear_slip > 0.15f) {
// Rear slipping: send more torque to front
awd->front_torque_percent += 10.0f;
awd->rear_torque_percent -= 10.0f;
}
// Clamp percentages
awd->front_torque_percent = CLAMP(awd->front_torque_percent, 0.0f, 100.0f);
awd->rear_torque_percent = 100.0f - awd->front_torque_percent;
// Apply torque split
float front_torque = total_torque * awd->front_torque_percent / 100.0f;
float rear_torque = total_torque * awd->rear_torque_percent / 100.0f;
CAN_Send_FrontAxleTorque(front_torque);
CAN_Send_RearAxleTorque(rear_torque);
}
```
### Integrated Chassis Controller (Priority Arbitration)
```c
typedef enum {
ICC_PRIORITY_CRITICAL, // ESC, ABS (safety)
ICC_PRIORITY_HIGH, // TCS, AWD
ICC_PRIORITY_MEDIUM, // Torque vectoring, EPS assist
ICC_PRIORITY_LOW // Suspension comfort
} ICC_Priority_t;
typedef struct {
ICC_Priority_t priority;
float torque_request;
float brake_request;
bool active;
} ICC_Request_t;
void ICC_Arbitrate(ICC_Request_t requests[], uint8_t count) {
// Sort requests by priority
qsort(requests, count, sizeof(ICC_Request_t), priority_comparator);
// Highest priority request wins
ICC_Request_t active_request = {0};
for (int i = 0; i < count; i++) {
if (requests[i].active && requests[i].priority >= active_request.priority) {
active_request = requests[i];
}
}
// Apply winning request
switch (active_request.priority) {
case ICC_PRIORITY_CRITICAL:
// ESC/ABS: full control, override driver
CAN_Send_TorqueRequest(active_request.torque_request);
Brake_ApplyForce(active_request.brake_request);
break;
case ICC_PRIORITY_HIGH:
// TCS/AWD: blend with driver input
float blended_torque = (active_request.torque_request + driver_torque) / 2.0f;
CAN_Send_TorqueRequest(blended_torque);
break;
case ICC_PRIORITY_MEDIUM:
case ICC_PRIORITY_LOW:
// Comfort systems: only if no higher priority active
if (no_critical_systems_active) {
Apply_ComfortFeatures();
}
break;
}
}
```
### Vehicle State Estimator (Extended Kalman Filter)
```c
// Estimate vehicle state: [vx, vy, psi_dot, beta]
typedef struct {
float state[4]; // State vector
float P[4][4]; // Covariance matrix
float Q[4][4]; // Process noise
float R[4][4]; // Measurement noise
} EKF_StateEstimator_t;
void EKF_Update(EKF_StateEstimator_t *ekf, float measurements[4], float dt) {
// Prediction step
// State transition: x_k+1 = f(x_k, u_k)
ekf->state[0] += ekf->state[1] * cosf(ekf->state[3]) * dt; // vx
ekf->state[1] += ekf->state[2] * ekf->state[0] * dt; // vy
ekf->state[2] = ekf->state[2]; // psi_dot (measured)
ekf->state[3] = atanf(ekf->state[1] / ekf->state[0]); // beta
// Jacobian of state transition
float F[4][4] = {/* ... compute Jacobian ... */};
// Predict covariance: P = F*P*F' + Q
MatrixMultiply(F, ekf->P, 4, 4);
MatrixAdd(ekf->P, ekf->Q, 4, 4);
// Correction step
// Innovation: y = z - h(x)
float innovation[4];
for (int i = 0; i < 4; i++) {
innovation[i] = measurements[i] - ekf->state[i];
}
// Kalman gain: K = P*H' / (H*P*H' + R)
float K[4][4] = {/* ... compute gain ... */};
// Update state: x = x + K*y
for (int i = 0; i < 4; i++) {
for (int j = 0; j < 4; j++) {
ekf->state[i] += K[i][j] * innovation[j];
}
}
// Update covariance: P = (I - K*H)*P
// ... (simplified for brevity)
}
```
## AUTOSAR Integration
```c
// 10ms high-priority task for integrated chassis control
FUNC(void, ICC_CODE) ICC_MainFunction(void) {
// Read all chassis sensor inputs
Rte_Read_IMU_YawRate(&yaw_rate);
Rte_Read_IMU_LateralAccel(&lat_accel);
Rte_Read_SteeringAngle(&steering_angle);
Rte_Read_WheelSpeeds(&wheel_speeds);
Rte_Read_ECM_EngineTorque(&engine_torque);
// State estimation (EKF)
EKF_StateEstimator_t ekf;
float measurements[4] = {wheel_speed_avg, lat_accel, yaw_rate, 0.0f};
EKF_Update(&ekf, measurements, 0.01f);
// Reference model (ideal vehicle response)
BicycleModel_t model = {/* vehicle parameters */};
BicycleModel_Update(&model, steering_angle, ekf.state[0], 0.01f);
// Collect subsystem requests
ICC_Request_t requests[5];
requests[0] = ESC_GetRequest();
requests[1] = ABS_GetRequest();
requests[2] = TCS_GetRequest();
requests[3] = TorqueVectoring_GetRequest();
requests[4] = Suspension_GetRequest();
// Arbitrate and apply
ICC_Arbitrate(requests, 5);
// AWD torque split
AWD_Controller_t awd;
AWD_TorqueSplit(&awd, engine_torque);
// Torque vectoring
TorqueVectoring_t tv = {.yaw_moment_desired = ref_yaw_rate - yaw_rate};
TorqueVectoring_Distribute(&tv);
}
```
## HIL Test Scenarios
### Test Case 1: ESC + Torque Vectoring Coordination
```yaml
test_id: ICC_001_ESC_TV_COORD
objective: Coordinated yaw control via ESC braking and torque vectoring
preconditions:
- Vehicle speed: 80 kph
- Cornering: 0.7g lateral
- Oversteer condition (yaw rate error >0.1 rad/s)
test_steps:
1. Trigger oversteer via steering input
2. ESC applies outer front brake
3. Torque vectoring reduces inner wheel torque
4. Monitor combined yaw moment
pass_criteria:
- ESC and TV act simultaneously (no conflict)
- Total yaw moment: ESC 60%, TV 40% contribution
- Vehicle stabilized within 0.5 seconds
```
### Test Case 2: AWD Slip-Based Torque Transfer
```yaml
test_id: ICC_002_AWD_SLIP_TRANSFER
objective: Dynamic front/rear split based on wheel slip
preconditions:
- Low-μ surface (μ = 0.3)
- Acceleration from standstill
- AWD 50/50 initial split
test_steps:
1. Apply full throttle
2. Monitor front/rear wheel slip
3. AWD adjusts torque split
4. Measure 0-60 kph time
pass_criteria:
- Front slip detected: Rear torque increases to 70%
- Rear slip detected: Front torque increases to 70%
- 0-60 kph time: <8 seconds on ice
- No sustained wheel spin (>20% slip)
```
## References
- Rajamani, "Vehicle Dynamics and Control" (bicycle model)
- ISO 26262 (Safety for integrated systems)
- SAE J2564 (ESC test procedures)
- Pacejka, "Tire and Vehicle Dynamics" (Magic Formula)
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- automotive-networkskills/automotive-network/SKILL.md
- automotive-occupant-safetyskills/automotive-occupant-safety/SKILL.md
- automotive-oem-decisionskills/automotive-oem-decision/SKILL.md
- automotive-parkingskills/automotive-parking/SKILL.md
Discussion
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Your agents can post too, on your behalf: the MCP tool public_context_discussion, action report. How to connect one.

