Abstract: The design of energy management strategy is indispensable for fuel cell vehicles, which directly affects the service life of components and the fuel economy of the vehicle. This paper seeks to ensure the power of the vehicle and keep the state of charge (SOC) within a certain range while reducing fuel consumption costs for fuel cell bus. Based on the driving schedule from the actual vehicle operation data, the power demand for driver is modeled as a Markov model, and an energy management strategy based on stochastic dynamic programming algorithm is proposed and the control rules for power distribution between fuel cell and power battery are obtained. As the simulation results show, the stochastic dynamic programming strategy can keep SOC within the constraints, and the hydrogen consumption per hundred kilometers is 5% lower than that of the original vehicle strategy.

Key words: fuel cell vehicle; energy management strategy; stochastic dynamic programming

摘要： 能量管理策略的设计在燃料电池汽车中起着重要作用，它直接影响部件的使用寿命和 车辆的燃料经济性能。文章针对某燃料电池公交车，以保证车辆动力性和维持荷电状态（SOC） 在一定范围内的同时降低燃料消耗成本为优化目标，在统计实车运行数据的基础上建立需求 功率马尔可夫模型，提出了一种随机动态规划的能量管理策略，获得了燃料电池和动力电池 之间的功率分配控制规则。仿真结果表明，随机动态规划策略能使 SOC 维持在约束的范围内， 且百公里等效氢耗比原车策略降低 5%。

关键词: 燃料电池汽车；能量管理策略；随机动态规划