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Vehicle architecture

🚗 Vehicle Architecture – Overview

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📘 What is Vehicle Architecture?

Vehicle Architecture refers to the overall structural and functional layout of all electronic, mechanical, and software systems within a vehicle. It encompasses how different ECUs, sensors, actuators, networks, and software modules are organized and interact to deliver vehicle functionality.


🧠 Why is it important?

Modern vehicles are complex systems on wheels, often containing 100+ ECUs, multiple network protocols (CAN, LIN, Ethernet), and integrated software systems. A robust architecture: - Ensures modularity, scalability, and reuse - Supports safe and reliable operation - Helps in meeting compliance (e.g., AUTOSAR, ISO 26262) - Enables features like ADAS, infotainment, EV control, connectivity


🧩 Key Elements of Vehicle Architecture

1. ECUs (Electronic Control Units)

  • Act as the brains for specific vehicle domains (e.g., Powertrain, Body, ADAS)
  • Each handles sensing, control, and actuation
  • Examples: BCM (Body Control Module), TCU (Transmission Control Unit), ECU (Engine Control Unit)

2. Communication Protocols

  • Ensure reliable data exchange between ECUs
  • Examples:
  • CAN – Control Area Network (critical controls)
  • LIN – Local Interconnect Network (low-cost, slower)
  • Ethernet – High-speed (infotainment, ADAS)
  • FlexRay, MOST, UDS

3. Gateway ECUs

  • Route and translate messages across different network domains
  • Handle security, diagnostics, and service-oriented communication

4. ECU Extracts

  • Subset of system-level data/config relevant to a specific ECU
  • Used during development, integration, testing

5. Domains

  • Vehicles are divided into domains like:
  • Powertrain
  • Chassis
  • Body
  • Infotainment
  • ADAS
  • Connectivity / Telematics

🛠️ Benefits of Understanding Vehicle Architecture

  • Helps developers and engineers build modular and compliant systems
  • Allows efficient debugging, testing, and simulation
  • Supports traceability across software and system layers
  • Essential for Model-Based Development, AUTOSAR, and Diagnostics