融合交通信息的燃料电池汽车能量管理研究进展

Energy management determines the power distribution of the power System of fuel cell vehicles (FCVs) and affects the economy and durability of FCVs. As the operating conditions of vehicles are complex and variable, energy management can improve the Output Performance of FCV power System by integrating traffic infor-mation. In this paper, the optimization objectives of FCV energy management are summarized, and the traditional rule-based and optimization-based energy management strategies are analyzed. Then, focusing on the analysis and prediction of traffic information such as vehicle speed and traffic condition, prediction methods such as Markov method and artificial intelligence are reviewed, and the research progress of FCV energy management strategies by integrating traffic information is summarized. Finally, the research direction of development of FCV energy management by integrating traffic information is proposed.