An online energy management strategy for fuel cell hybrid vehicles

As a new energy vehicle, fuel cell hybrid electric vehicle (FCHEV) has a broad development prospect and provides a new way of thinking to solve the energy crisis. Energy management strategy is one of the key issues in the research of FCHEV. There are many power sources of the driveline system. Effective management of energy flows in power sources is the key to improving vehicle performance. Aiming at the FCHEV, an equivalent fuel consumption minimum control strategy (ECMS) was proposed to achieve the optimal fuel economy and real-time operation. Firstly, the fuel cell hybrid vehicle is modeled based on ADVISOR. Secondly, the online real-time energy management strategy ECMS is designed. Finally, the results of the NEDC and UDDS cycle are compared with the global optimal results of offline dynamic programming (DP). The results show that compared with the global optimal DP hydrogen consumption, the ECMS control strategy in this paper is only 0.59% and 2.10% different, but 13.31% and 12.28% higher than that of the rule-based CD-CS control strategy. In the following hardware loop experiment, the ECMS energy management strategy also improved by 5.00% and 5.64% compared to the CD-CS results. It is proved that the ECMS strategy in this paper has good control effects.