张奥,龚国庆

• 1:北京信息科技大学机电工程学院

摘要(Abstract)：

针对电动汽车单一电源电流冲击大的问题，构建了电容半主动拓扑的复合电源，并提出一种基于小波变换与遗传算法（genetic algorithm, GA）优化模糊控制的能量管理策略。利用Haar小波分解需求功率，以高频分量及储能元件荷电状态（state of charge, SOC）为输入，通过GA优化隶属度函数参数实现功率精准分配。在新欧洲驾驶循环（new European driving cycle,NEDC）及中国轻型汽车行驶工况-乘用车（China light-duty vehicle test cycle-passenger car,CLTC-P）等工况下的仿真表明，相比单一电源策略，所提策略峰值电流平均降低约28.0%，均方根（root mean square, RMS）电流平均降低约21.0%，并将高电流区间占比压缩至6%以内，电池温升幅度降低34.8%和37.8%；在不同SOC条件下均表现出鲁棒性，对电流指标的优化幅度稳定保持在20%～28%区间，有效延长了电池循环寿命。

关键词(KeyWords)： 复合电源;小波变换;模糊控制;遗传算法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 张奥,龚国庆

DOI: 10.16508/j.cnki.11-5866/n.2026.01.009

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