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基于改进卡尔曼滤波的电池SOC估算

徐颖 沈英

徐颖, 沈英. 基于改进卡尔曼滤波的电池SOC估算[J]. 北京航空航天大学学报, 2014, 40(6): 855-860. doi: 10.13700/j.bh.1001-5965.2013.0414
引用本文: 徐颖, 沈英. 基于改进卡尔曼滤波的电池SOC估算[J]. 北京航空航天大学学报, 2014, 40(6): 855-860. doi: 10.13700/j.bh.1001-5965.2013.0414
Xu Ying, Shen Ying. Improved battery state-of-charge estimation based on Kalman filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(6): 855-860. doi: 10.13700/j.bh.1001-5965.2013.0414(in Chinese)
Citation: Xu Ying, Shen Ying. Improved battery state-of-charge estimation based on Kalman filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(6): 855-860. doi: 10.13700/j.bh.1001-5965.2013.0414(in Chinese)

基于改进卡尔曼滤波的电池SOC估算

doi: 10.13700/j.bh.1001-5965.2013.0414
详细信息
    作者简介:

    徐 颖(1969- ),女,四川德阳人,副教授,xuying@buaa.edu.cn.

  • 中图分类号: TM912.1

Improved battery state-of-charge estimation based on Kalman filter

  • 摘要: 以研究电动汽车动力电池管理系统为背景,以电池荷电状态估算为关键技术,介绍了荷电状态与其主要影响因素的非线性动态关系,建立了二阶RC等效电池模型.在此基础上,考虑了温度对电池内阻的影响,采用卡尔曼滤波算法、改进的安时计量法和开路电压法,结合基于温度的电池模型参数在线辨识,对电池荷电状态进行估算,通过MATLAB仿真,并与基于经验公式的卡尔曼滤波算法进行了对比,平均误差为2.46%,提高了估算精度,验证了算法的可行性和可靠性.

     

  • [1] 吴红杰,齐铂金, 郑敏信,等.基于Kalman滤波的镍氢动力电池SOC估算方法[J].北京航空航天大学学报,2007,33(8):945-948 Wu Hongjie,Qi Bojin,Zheng Minxin,et al.Ni-MH battery state-of-charge estimation based on Kalman filter[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(8):945-948(in Chinese)
    [2] He H,Xiong R, Fan J.Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach[J].Energies,2011,4(4):582-598
    [3] Lee J, Nam O,Cho B H.Li-ion battery SOC estimation method based on the reduced order extended Kalman filtering[J].Journal of Power Sources,2007,174(1):9-15
    [4] Di Domenico D, Fiengo G,Stefanopoulou A.Lithium-ion battery state of charge estimation with a kalman filter based on a electrochemical model[C]//Proceedings of the IEEE International Conference on Control Applications. New York:Institute of Electrical and Electronics Engineers Inc,2008:702-707
    [5] Wu T,Liu L, Xiao Q,et al.Research on SOC estimation based on second-order RC model[J].Telkomnika:Indonesian Journal of Electrical Engineering,2012,10(7):1667-1672
    [6] 魏学哲,邹广楠, 孙泽昌.燃料电池汽车中电池建模及其参数估计[J].电源技术,2004,28(10):605-608 Wei Xuezhe,Zou Guangnan,Sun Zechang.Modelling and parameter estimation of Li-ion battery in a fuel cell vehicle[J].Journal of Power Sources,2004,28(10):605-608(in Chinese)
    [7] 李哲,韩雪冰, 卢兰光,等.动力型磷酸铁锂电池的温度特性[J].机械工程学报,2011,47(18):115-120 Li Zhe,Han Xuebing,Lu Languang,et al.Temperature characteristics of power LiFePO4 batteries[J].Journal of Mechanical Engineering,2011,47(18):115-120(in Chinese)
    [8] 徐杰. 基于卡尔曼滤波的动力电池组SOC精确估计[D].杭州:杭州电子科技大学,2009 Xu Jie.State of charge accuate estimation based on Kalman filtering for power battery[D].Hangzhou:Hangzhou Dianzi University,2009(in Chinese)
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出版历程
  • 收稿日期:  2013-07-11
  • 刊出日期:  2014-06-20

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