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コース概要
Introduction to EV Software and Embedded Systems
- Overview of EV software architecture
- Key components of embedded systems in EVs
- Software challenges unique to electric mobility
Control Systems for Electric Vehicles
- Designing software for motor control and power management
- Battery management system (BMS) software integration
- 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
- Using 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 EV systems
- Developing fault-tolerant software architectures
Hands-On Lab: Building a Basic EV Control System
- Setting up an embedded software environment
- Programming control algorithms for motor operation
- Testing and debugging the control system
Best Practices for EV Software Development
- Maintaining code quality and efficiency
- Collaborating in multidisciplinary engineering teams
- Documenting and testing software components
Future Trends and Innovations in EV Software
- Next-gen AI for fully autonomous electric vehicles
- Integration with IoT and smart infrastructure
- Predictive maintenance using AI-driven analytics
Summary and Next Steps
要求
- Experience with embedded systems programming
- Knowledge of automotive software development
- Understanding of real-time processing and control systems
Audience
- Software developers working on EV applications
- Embedded systems engineers in the automotive sector
- AI specialists focusing on autonomous EV technology
14 時間
