This paper presents a novel real-time fuzzy logic control (FLC) conguration for energy management of a fuel cell/battery vehicle. To do so, three FLCs, in a parallel structure, have been designed and optimized by a genetic algorithm for variant driving behavior. Subsequently, a velocity classier is employed to set the most suitable weighting factor at each moment, regarding the speed level. Finally, performance of the proposed FLC, concerning degradation and fuel consumption, has been compared with optimal results, achieved by dynamic programming, for three distinct driving cycles. The comparison outcomes prove the success of the suggested fuzzy strategy.

, ,
14th IEEE Vehicle Power and Propulsion Conference, VPPC 2017
Department of Electronics

Dayeni, M.K. (Mohsen Kandi), MacIas, A. (Alvaro), Dépature, C. (Clément), Boulon, L. (Loïc), Kelouwani, S. (Sousso), & Chaoui, H. (2018). Real-Time Fuzzy Logic Strategy Scheme for Energetic Macroscopic Representation of a Fuel Cell/Battery Vehicle. In 2017 IEEE Vehicle Power and Propulsion Conference, VPPC 2017 - Proceedings (pp. 1–6). doi:10.1109/VPPC.2017.8330994