Multi-physics optimization of a smart actuator for an automotive application

This paper describes a design framework for optimization of automotive mechatronic systems that uses analog simulations and evolutionary algorithms. We demonstrate the effectiveness of our methodology in sizing a complex actuator under multi-physic constraints. Our challenge was to design a compact exhaust gas recirculation (EGR) valve meeting the severe electrical, thermal, mechanical and magnetic requirements of the system.