Multiphysics Modeling and Driving Strategy Optimization of an Urban-Concept Vehicle

This paper is dedicated to the optimization of the driving strategy of a high efficiency fuel cell based power train. This power train is developed to equip an urban-concept vehicle that runs energetic races where the objectives are to go the furthest with the lowest quantity of fuel (Shell Eco Marathon). Through a comprehensive dynamical model, including the mechanical requirement, the thermal behavior of the fuel cell stack and the various losses and consumption of the power train devices. This model is then integrated into a global optimization algorithm, to determine the best race strategy to be adopted (velocity profile, motor current, gearbox ratio).