Driven by the needs of the consumer auto industry, “symbolic computation” based physical model development has broken through some key barriers in HIL testing. For example, full vehicle models for dynamics, multi-domain models of HEV powertrains, and detailed dynamic models of special subsystems, such as crane arms, are challenging the traditional engineering workflow. Featuring numerous case studies and technique demonstrations, this webcast will explore new modeling techniques to accelerate model development while increasing model fidelity and simulation performance. It will show how to achieve efficient high-fidelity system modeling for hardware-in-the-loop (HIL) and control applications whether you’re working on passenger cars or commercial vehicles. In addition, this webcast will provide you with practical knowledge on quickly improving or implementing model-based design (MBD) techniques.