张奥,龚国庆

• 1:北京信息科技大学机电工程学院

摘要(Abstract)：

为提高纯电动汽车复合储能系统的制动能量回收效率，提出一种基于模糊控制与遗传算法（genetic algorithm, GA）优化的双层再生制动控制策略。上层利用GA优化模糊控制器分配再生与机械制动力，下层依据电池/超级电容荷电状态（state of charge, SOC）自适应分配回收功率。基于CruiseSimulink联合仿真，在新欧洲驾驶循环（new European driving cycle,NEDC）和城市道路循环（urban dynamometer driving schedule, UDDS）工况下的验证结果表明，GA优化可使制动能量回收效率分别提高2.1和2.3百分点，SOC动态分配策略相较“优先电容”策略可增加储能吸收能量并降低回收链路损耗。

关键词(KeyWords)： 复合储能;再生制动能量回收;遗传算法;模糊控制;能量分配

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张奥,龚国庆

DOI: 10.16508/j.cnki.11-5866/n.2025.06.002

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