This presentation explores the role of model-based system testing in developing advanced thermal management systems for EVs. By leveraging digital twin modeling and correlation, this approach allows engineers to optimize thermal efficiency while maintaining EV range and passenger comfort. Abdou will demonstrate how model-based development accelerates testing and validation, ensuring robust and reliable systems before physical prototypes. Key use cases will illustrate how this method drives innovation in EV thermal management, reducing costs and time-to-market.

In this session, you’ll get:

• Insights into Hutchinson’s Model-Based System Testing
• How digital twins enhance accuracy and predictive insights
• Real-world applications showing improved efficiency and cost-effectiveness