Model-in-the-loop (MIL) testing provides an early opportunity to identify control logic and requirement issues before software reaches an ECU or test vehicle. This presentation shares a practical automotive approach to using MIL testing for validating model-based control software. It discusses requirement-based test development, simulation of normal and fault conditions, boundary testing, decision and coverage analysis, and early defect detection. Using examples from vehicle control functions, the session will demonstrate how MIL testing can reduce downstream debugging effort, improve test coverage and increase confidence before SIL, HIL and vehicle-level validation.

• Understand how model-in-the-loop testing helps identify control logic and requirement issues early in software development
• Learn how MIL testing can validate normal, boundary, fault and safety-related behaviors before ECU software is available
• See practical automotive examples showing how automated MIL tests improve test coverage and reduce late-stage defects
• Understand how MIL testing supports the transition from model development to SIL, HIL and vehicle-level validation
• Learn practical ways to integrate MIL testing into an automotive model-based development workflow