基于阶跃电流法的动力电池充放电模型参数识别
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摘要
采用阶跃电流法,实现大功率锂离子电池二阶充放电模型电路参数的提取.讨论3个问题:1)在脉冲电流条件下,如何选择电池输出端电压数据范围用于非线性拟合;2)在Matlab环境下,如何实现测试数据和目标函数的非线性拟合;3)当非线性拟合完成后,如何得到并理解充放电电路模型参数.对充放电模型做最小修改,本方法也可应用于其他类型电池.
Parameters of second order circuit model for high-power lithium ion battery was identified based on current-step method.Three questions were discussed: 1) how to choose data range of output terminal voltage for nonlinear fitting under pulse current condition; 2) how to implement nonlinear least square algorithm for fitting the testing data to the objective function in Matlab; 3) how to obtain and understand parameters of charging/discharging circuit model after fitting done.Only with minor modification,the present method could also be suitable to different kind of batteries.
Parameters of second order circuit model for high-power lithium ion battery was identified based on current-step method.Three questions were discussed: 1) how to choose data range of output terminal voltage for nonlinear fitting under pulse current condition; 2) how to implement nonlinear least square algorithm for fitting the testing data to the objective function in Matlab; 3) how to obtain and understand parameters of charging/discharging circuit model after fitting done.Only with minor modification,the present method could also be suitable to different kind of batteries.
引文
[1]郭炳焜.锂离子电池[M].长沙:中南大学出版社,2002.
[2]林成涛,陈全世.用改进的安时计量法估算电动汽车动力电池SOC[J].清华大学学报,2006,46(2):113-120.
[3]尹安东,张万兴.基于神经网络的磷酸铁锂电池SOC预测研究[J].电子测量与仪器学报,2011,25(5):433-437.
[4]贾玉建,解大.电动汽车等效电路模型的分类与特点[J].电力与能源,2011,32(6):516-521.
[5]Amir Vasebi,Maral Partovibakhsh.A novel combined battery model for state-of-charge estimation in lead-acid battery based on extended Kalman filter[J].Journal of Power Sources,2007,174:30-40.
[6]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 1 background[J].Journal of Power Sources,2004,134(2):252-261.
[7]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 2 modeling and identification[J].Journal of Power Sources,2004,134(2):262-276.
[8]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 3 state and parameter estimation[J].Journal of Power Sources,2004,134(2):277-292.
[9]Stefano Barsali,Massimo Ceraolo.Dynamical models of lead-acid batteries:Implementation issues[J].IEEE Transactions on Energy Conversion,2002,17(1):16-23.
[10]He Hongwen,Xiong Rui,Fan Jinxin.Evaluation of lithium-ion battery equavalent circuit method for state of charge estimation by an experimental approach[J].Energies,2011,4(4):582-598.
[11]刘豹,唐万生.现代控制理论[M].机械工业出版社,2006.
[2]林成涛,陈全世.用改进的安时计量法估算电动汽车动力电池SOC[J].清华大学学报,2006,46(2):113-120.
[3]尹安东,张万兴.基于神经网络的磷酸铁锂电池SOC预测研究[J].电子测量与仪器学报,2011,25(5):433-437.
[4]贾玉建,解大.电动汽车等效电路模型的分类与特点[J].电力与能源,2011,32(6):516-521.
[5]Amir Vasebi,Maral Partovibakhsh.A novel combined battery model for state-of-charge estimation in lead-acid battery based on extended Kalman filter[J].Journal of Power Sources,2007,174:30-40.
[6]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 1 background[J].Journal of Power Sources,2004,134(2):252-261.
[7]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 2 modeling and identification[J].Journal of Power Sources,2004,134(2):262-276.
[8]Plett G.Extended Kalman filtering for battery mangament systems of Li PB-based HEV battery packs.Part 3 state and parameter estimation[J].Journal of Power Sources,2004,134(2):277-292.
[9]Stefano Barsali,Massimo Ceraolo.Dynamical models of lead-acid batteries:Implementation issues[J].IEEE Transactions on Energy Conversion,2002,17(1):16-23.
[10]He Hongwen,Xiong Rui,Fan Jinxin.Evaluation of lithium-ion battery equavalent circuit method for state of charge estimation by an experimental approach[J].Energies,2011,4(4):582-598.
[11]刘豹,唐万生.现代控制理论[M].机械工业出版社,2006.