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DOI码：10.1109/ICPSAsia58343.2023.10294382

发表刊物：2023 IEEE IAS Industrial and Commercial Power System Asia (IEEE I&CPS Asia 2023)

关键字：Fuel cell vehicle；Energy management strategy；Working condition identification；Particle swarm algorithm；Fuzzy contorller

摘要：A rational formulation of energy management strategy can regulate the power distribution among various energy sources, prolong the service life of vehicle power system and improve the fuel economy of the whole vehicle. In this paper, the energy management strategy is studied by combining the working condition recognition algorithm and the fuzzy controller optimized based on the particle swarm algorithm. The results show that compared with the three energy management strategies without condition identification, the equivalent energy consumption of the vehicle is reduced by 6.2%, 4.8% and 4.9%, respectively, and the change of power battery charge state (SOC) is relatively smooth and kept in a reasonable range., which effectively extends the battery life.

合写作者：Haoran Ma,Tao Wang

第一作者：Xiaowen Zhang

论文类型：论文集

通讯作者：Muyao Wu,Li Wang

学科门类：工学

文献类型：C

是否译文：否

发表时间：2023-07-07

收录刊物：EI