Transforming EV Charging Control: From C Code to MATLAB/Simulink Models

???? The Growing Complexity of EV Charging Systems

As EV technology advances, so do the challenges in developing and maintaining charging control systems. Traditional C-based implementations often struggle with scalability, validation, and integration within modern Model-Based Development (MBD) workflows. The shift to MATLAB/Simulink offers better maintainability, enhanced validation, and seamless compliance with industry standards like ISO 26262.

However, this transformation is not just a simple code migration—it demands a structured approach to functional logic translation, system verification, and automated documentation generation.

Key Aspects of the Transition

? Decomposing C Code into Simulink Models

• Extracting control logic and signal flow
• Implementing Stateflow for charge cycle management
• Converting core algorithms (e.g., PID-based current control) into Simulink function blocks

? Ensuring Compliance & Validation

• Mapping embedded C parameters to Simulink data objects
• Running Model-in-the-Loop (MIL) testing for functional accuracy
• Automating validation with back-to-back testing

? Automating Specification Documentation

• Extracting metadata from MATLAB models for structured reporting
• Generating system architecture diagrams and verification logs
• Enabling version control and change tracking for regulatory compliance

Why This Matters?

?? Enhances maintainability & traceability of EV charging software ?? Reduces manual effort through automation

?? Speeds up validation, ensuring safety, efficiency, and industry compliance

Looking Ahead ???? Future advancements in AI-assisted modeling and Hardware-in-the-Loop (HIL) testing will further streamline this transformation, enabling faster, more robust software development for next-gen automotive systems.

?? Interested in exploring this transition for your projects? Let’s connect!

?? Visit www.ijbridge.com to learn more.