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Course Outline
Introduction to Electric Vehicle (EV) Software and Embedded Systems for Government
- Overview of EV software architecture for government applications
- Key components of embedded systems in EVs for government use
- Software challenges unique to electric mobility in the public sector
Control Systems for Electric Vehicles for Government
- Designing software for motor control and power management in government fleets
- Battery management system (BMS) software integration for enhanced reliability
- Monitoring and diagnostics for maintaining system health in government vehicles
Real-Time Processing and Data Management for Government
- Implementing real-time data acquisition and processing for government EVs
- Data fusion from multiple sensors to enhance operational efficiency
- Ensuring low-latency control in dynamic environments for government operations
Autonomous Driving and AI Integration for Government
- Using machine learning for perception and decision-making in government vehicles
- Integrating AI algorithms with embedded systems to support government missions
- Testing and validation of autonomous functions for government safety standards
Advanced Software Safety and Compliance for Government
- Applying ISO 26262 for functional safety in government EVs
- Ensuring cybersecurity in connected EV systems for government use
- Developing fault-tolerant software architectures to meet government requirements
Hands-On Lab: Building a Basic EV Control System for Government
- Setting up an embedded software environment for government projects
- Programming control algorithms for motor operation in government vehicles
- Testing and debugging the control system to meet government standards
Best Practices for EV Software Development for Government
- Maintaining code quality and efficiency in government applications
- Collaborating in multidisciplinary engineering teams within the public sector
- Documenting and testing software components to ensure compliance with government regulations
Future Trends and Innovations in EV Software for Government
- Next-gen AI for fully autonomous electric vehicles in government fleets
- Integration with IoT and smart infrastructure to support government operations
- Predictive maintenance using AI-driven analytics to enhance fleet management
Summary and Next Steps for Government
Requirements
- Experience with embedded systems programming for government
- Knowledge of automotive software development
- Understanding of real-time processing and control systems
Audience
- Software developers working on electric vehicle (EV) applications for government
- Embedded systems engineers in the automotive sector for government
- AI specialists focusing on autonomous EV technology for government
14 Hours
