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Expert-level automotive systems, connected vehicles, fleet management, telematics, ADAS, and automotive software
Expert guidance for automotive systems, connected vehicles, fleet management, telematics, advanced driver assistance systems (ADAS), and automotive software development.
@dataclass
class VehicleTelemetry:
"""Real-time vehicle telemetry data"""
vehicle_id: str
timestamp: datetime
location: tuple
speed_kmh: float
rpm: int
engine_temp_c: float
battery_voltage: float
fuel_level_percent: float
odometer_km: int
dtc_codes: List[str] # Diagnostic Trouble Codes
class ConnectedVehiclePlatform:
"""Connected car platform with OTA updates"""
def __init__(self):
self.vehicles = {}
self.telemetry_buffer = []
self.ota_updates = {}
def process_telemetry(self, telemetry: VehicleTelemetry) -> dict:
"""Process incoming telemetry data"""
self.telemetry_buffer.append(telemetry)
# Analyze telemetry for anomalies
alerts = []
# Check engine temperature
if telemetry.engine_temp_c > 110:
alerts.append({
'type': 'high_engine_temp',
'severity': 'warning',
'value': telemetry.engine_temp_c,
'message': 'Engine temperature above normal'
})
# Check battery voltage
if telemetry.battery_voltage < 12.0:
alerts.append({
'type': 'low_battery',
'severity': 'warning',
'value': telemetry.battery_voltage,
'message': 'Battery voltage low'
})
# Check for diagnostic trouble codes
if telemetry.dtc_codes:
alerts.append({
'type': 'dtc_codes',
'severity': 'critical',
'codes': telemetry.dtc_codes,
'message': f'{len(telemetry.dtc_codes)} diagnostic code(s) detected'
})
# Check for harsh driving
if len(self.telemetry_buffer) >= 2:
prev = self.telemetry_buffer[-2]
if telemetry.vehicle_id == prev.vehicle_id:
time_diff = (telemetry.timestamp - prev.timestamp).total_seconds()
if time_diff > 0:
acceleration = (telemetry.speed_kmh - prev.speed_kmh) / time_diff
if abs(acceleration) > 5: # > 5 km/h per second
alerts.append({
'type': 'harsh_driving',
'severity': 'info',
'acceleration': acceleration,
'message': 'Harsh acceleration/braking detected'
})
return {
'vehicle_id': telemetry.vehicle_id,
'timestamp': telemetry.timestamp.isoformat(),
'alerts': alerts,
'health_score': self._calculate_vehicle_health(telemetry)
}
def deploy_ota_update(self,
vehicle_ids: List[str],
update_package: dict) -> dict:
"""Deploy over-the-air software update"""
update_id = self._generate_update_id()
ota_update = {
'update_id': update_id,
'version': update_package['version'],
'description': update_package['description'],
'package_size_mb': update_package['size_mb'],
'target_vehicles': vehicle_ids,
'deployed_at': datetime.now(),
'status_by_vehicle': {}
}
for vehicle_id in vehicle_ids:
# Schedule update for vehicle
ota_update['status_by_vehicle'][vehicle_id] = {
'status': 'scheduled',
'download_progress': 0,
'install_progress': 0
}
self.ota_updates[update_id] = ota_update
return {
'update_id': update_id,
'vehicles_targeted': len(vehicle_ids),
'estimated_completion': 'Within 48 hours'
}
def diagnose_vehicle(self, vehicle_id: str, dtc_codes: List[str]) -> dict:
"""Diagnose vehicle issues from DTC codes"""
diagnoses = []
for code in dtc_codes:
diagnosis = self._lookup_dtc_code(code)
diagnoses.append(diagnosis)
# Calculate severity
max_severity = max(d['severity'] for d in diagnoses)
return {
'vehicle_id': vehicle_id,
'dtc_codes': dtc_codes,
'diagnoses': diagnoses,
'overall_severity': max_severity,
'service_recommended': max_severity in ['high', 'critical']
}
def _calculate_vehicle_health(self, telemetry: VehicleTelemetry) -> float:
"""Calculate overall vehicle health score"""
score = 100.0
# Engine temperature
if telemetry.engine_temp_c > 110:
score -= 15
elif telemetry.engine_temp_c > 100:
score -= 5
# Battery voltage
if telemetry.battery_voltage < 11.5:
score -= 20
elif telemetry.battery_voltage < 12.0:
score -= 10
# DTC codes
score -= len(telemetry.dtc_codes) * 15
return max(0.0, score)
def _lookup_dtc_code(self, code: str) -> dict:
"""Lookup diagnostic trouble code"""
# Simplified DTC lookup
# In production, would use comprehensive OBD-II code database
dtc_database = {
'P0171': {
'description': 'System Too Lean (Bank 1)',
'severity': 'medium',
'possible_causes': ['Vacuum leak', 'Faulty MAF sensor', 'Fuel filter clogged']
},
'P0300': {
'description': 'Random/Multiple Cylinder Misfire Detected',
'severity': 'high',
'possible_causes': ['Faulty spark plugs', 'Ignition coil failure', 'Fuel injector issue']
}
}
return dtc_database.get(code, {
'description': f'Unknown code: {code}',
'severity': 'medium',
'possible_causes': ['Requires diagnostic scan']
})
def _generate_update_id(self) -> str:
import uuid
return f"OTA-{uuid.uuid4().hex[:8].upper()}"
class ElectricVehicleManagement:
"""EV-specific management functions"""
def __init__(self):
self.charging_stations = {}
self.charging_sessions = []
def calculate_range(self,
battery_capacity_kwh: float,
battery_soc_percent: float,
consumption_kwh_per_km: float) -> dict:
"""Calculate remaining range for EV"""
available_energy = battery_capacity_kwh * (battery_soc_percent / 100)
range_km = available_energy / consumption_kwh_per_km
# Adjust for temperature (simplified)
# Cold weather reduces range by up to 40%
temperature_factor = 0.8 # Assume moderate conditions
adjusted_range = range_km * temperature_factor
return {
'nominal_range_km': range_km,
'adjusted_range_km': adjusted_range,
'battery_soc_percent': battery_soc_percent,
'available_energy_kwh': available_energy
}
def find_charging_stations(self,
current_location: tuple,
max_distance_km: float) -> List[dict]:
"""Find nearby charging stations"""
nearby_stations = []
for station_id, station in self.charging_stations.items():
distance = self._calculate_distance(current_location, station['location'])
if distance <= max_distance_km:
nearby_stations.append({
'station_id': station_id,
'name': station['name'],
'location': station['location'],
'distance_km': distance,
'available_chargers': station['available_chargers'],
'charging_speed_kw': station['max_power_kw'],
'cost_per_kwh': station['cost_per_kwh']
})
# Sort by distance
nearby_stations.sort(key=lambda x: x['distance_km'])
return nearby_stations
def optimize_charging_schedule(self,
battery_capacity_kwh: float,
current_soc_percent: float,
target_soc_percent: float,
departure_time: datetime) -> dict:
"""Optimize EV charging schedule based on electricity rates"""
energy_needed = battery_capacity_kwh * ((target_soc_percent - current_soc_percent) / 100)
# Get electricity rate schedule
rate_schedule = self._get_electricity_rates(departure_time)
# Find lowest rate period
optimal_period = min(rate_schedule, key=lambda x: x['rate'])
charging_duration_hours = energy_needed / 7.0 # Assume 7kW home charger
return {
'energy_needed_kwh': energy_needed,
'optimal_start_time': optimal_period['start_time'].isoformat(),
'charging_duration_hours': charging_duration_hours,
'estimated_cost': energy_needed * float(optimal_period['rate']),
'will_complete_by': (optimal_period['start_time'] +
timedelta(hours=charging_duration_hours)).isoformat()
}
def _calculate_distance(self, point1: tuple, point2: tuple) -> float:
"""Calculate distance between two points"""
from math import radians, sin, cos, sqrt, atan2
lat1, lon1 = radians(point1[0]), radians(point1[1])
lat2, lon2 = radians(point2[0]), radians(point2[1])
dlat = lat2 - lat1
dlon = lon2 - lon1
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
c = 2 * atan2(sqrt(a), sqrt(1-a))
return 6371 * c # Earth radius in km
def _get_electricity_rates(self, date: datetime) -> List[dict]:
"""Get time-of-use electricity rates"""
# Simplified rate schedule
# Off-peak: 11 PM - 7 AM
# Peak: 2 PM - 8 PM
# Mid-peak: all other times
return [
{
'start_time': date.replace(hour=23, minute=0),
'end_time': date.replace(hour=7, minute=0) + timedelta(days=1),
'rate': Decimal('0.08') # $0.08/kWh
},
{
'start_time': date.replace(hour=14, minute=0),
'end_time': date.replace(hour=20, minute=0),
'rate': Decimal('0.25') # $0.25/kWh
}
]
ā No telematics or GPS tracking ā Reactive maintenance only ā Manual route planning ā Ignoring driver behavior data ā No vehicle diagnostics ā Poor fuel management ā Inadequate cybersecurity ā No OTA update capability ā Inefficient EV charging
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