张利,宋裕庆

• 1:北京交通运输职业学院汽车学院
• 2:天津职业技术师范大学汽车与交通学院

摘要(Abstract)：

针对新能源汽车SOC在变温情况下估计精度低的问题，在考虑温度因素下提出了基于多算法模糊融合的SOC估计方法。将汽车电池等效为Thevenin电路模型，并建立了该模型的状态空间方程；设计了不同温度下的恒温实验，在考虑变温度、变SOC因素下对模型参数进行了辨识；针对状态空间方程时变、非线性特点，首先采用扩展Kalman滤波、强跟踪Kalman滤波、H∞滤波算法进行SOC估计，而后提出了基于模糊熵加权的多算法融合估计方法。经恒温和变温实验验证，模糊融合方法的SOC估计精度高于强跟踪Kalman滤波和双自适应扩展Kalman滤波，验证了模糊融合估计方法在新能源汽车电池SOC估计中的可行性和优越性。

关键词(KeyWords)： 电池SOC估计;模糊融合;温度因素;模糊熵;状态空间方程

Abstract:

Keywords:

基金项目(Foundation): 交通类院校新能源汽车技术专业课程体系建设与实践项目（交教研1802-129）

作者(Author): 张利,宋裕庆

DOI: 10.19356/j.cnki.1001-3997.20260126.001

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