The invention provides an ECMS hydrogen fuel electric vehicle energy management method based on a sparrow search algorithm, and the method comprises the steps: building a whole vehicle dynamics model, a fuel cell model, a lithium battery model and a super capacitor model through the structural characteristics of a hydrogen fuel hybrid electric vehicle; according to the method, equivalent factors of a lithium battery and a super capacitor are designed and integrated, a hydrogen fuel cell electric vehicle energy management model of a whole vehicle equivalent hydrogen consumption minimum strategy (ECMS) is established, the equivalent factors in the ECMS are adjusted in real time by adopting a sparrow search algorithm (ASS), and good global optimality is achieved; according to the technical scheme, reasonable energy distribution between the hydrogen fuel cell and the auxiliary battery (the lithium battery and the super capacitor) can be achieved, and the maximum fuel economy is obtained.
本发明提供了基于麻雀搜索算法的ECMS氢燃料电动车能量管理方法,通过氢燃料混合动力电动汽车结构特点,搭建整车动力学模型、燃料电池模型、锂电池模型以及超级电容模型;设计综合锂电池和超级电容的等效因子,搭建的整车等效氢耗最小策略(ECMS)的氢燃料电池电动车能量管理模型,采用麻雀搜索算法(ASS)对ECMS中的等效因子进行实时调节,具有良好的全局最优性;本发明技术方案可实现氢燃料电池和辅助电池(锂电池和超级电容)之间能量合理分配,获得最大燃油经济性。
ECMS hydrogen fuel electric vehicle energy management method based on sparrow search algorithm
基于麻雀搜索算法的ECMS氢燃料电动车能量管理方法
2023-10-03
Patent
Electronic Resource
Chinese
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