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Course Outline

Introduction to Electric Vehicle Software and Embedded Systems

  • Overview of electric vehicle software architecture.
  • Key components of embedded systems in electric vehicles.
  • Software challenges specific to electric mobility.

Control Systems for Electric Vehicles

  • Designing software for motor control and power management.
  • Integration of Battery Management System (BMS) software.
  • Monitoring and diagnostics for system health.

Real-Time Processing and Data Management

  • Implementing real-time data acquisition and processing.
  • Data fusion from multiple sensors.
  • Ensuring low-latency control in dynamic environments.

Autonomous Driving and AI Integration

  • Utilising machine learning for perception and decision-making.
  • Integrating AI algorithms with embedded systems.
  • Testing and validation of autonomous functions.

Advanced Software Safety and Compliance

  • Applying ISO 26262 for functional safety.
  • Ensuring cybersecurity in connected electric vehicle systems.
  • Developing fault-tolerant software architectures.

Hands-On Laboratory: Building a Basic Electric Vehicle Control System

  • Setting up an embedded software environment.
  • Programming control algorithms for motor operation.
  • Testing and debugging the control system.

Best Practices for Electric Vehicle Software Development

  • Maintaining code quality and efficiency.
  • Collaborating within multidisciplinary engineering teams.
  • Documenting and testing software components.

Future Trends and Innovations in Electric Vehicle Software

  • Next-generation AI for fully autonomous electric vehicles.
  • Integration with IoT and smart infrastructure.
  • Predictive maintenance using AI-driven analytics.

Summary and Next Steps

Requirements

  • Experience in embedded systems programming.
  • Knowledge of automotive software development.
  • Understanding of real-time processing and control systems.

Target Audience

  • Software developers working on electric vehicle applications.
  • Embedded systems engineers within the automotive sector.
  • AI specialists focusing on autonomous electric vehicle technology.
 14 Hours

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