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基于有限差分扩展卡尔曼滤波的锂离子电池SOC估计

, PP. 221-228

Keywords: 锂离子电池,荷电状态,参数辨识,有限差分扩展卡尔曼滤波

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Abstract:

锂离子电池荷电状态的快速准确估计是电池管理系统的关键技术。针对锂离子电池这一动态非线性系统,以二阶RC等效电路模型为基础,采用递推最小二乘法估算模型参数,运用有限差分扩展卡尔曼滤波算法对电池荷电状态进行估算。仿真结果表明,该模型能较好地体现电池的动态特性,有限差分扩展卡尔曼滤波算法在估算过程中能保持很好的精度,并可以有效地减小由模型误差引入的荷电状态估计误差。

References

[1]  张剑波, 卢兰光, 李哲. 车用动力电池系统的关键技术与学科前沿[J]. 汽车安全与节能学报, 2012(2): 87-104.
[2]  Zhang Jianbo, Lu Languang, Li Zhe. Key technologies and fundamental academic issues for traction battery systems[J]. Journal of Automotive Safety and Energy, 2012(2): 87-104.
[3]  林成涛, 王军平, 陈全世. 电动汽车SOC估计方法原理与应用[J]. 电池, 2004(5): 376-378.
[4]  Lin Chengtao, Wang Junping, Chen Quanshi. Methods for state of charge estimation of EV batteries and their application[J]. Battery, 2004(5): 376-378.
[5]  齐国光, 李建民, 郏航, 等. 电动汽车电量计量技术的研究[J]. 清华大学学报(自然科学版), 1997(3): 47-50.
[6]  Qi Guoguang, Li Jianming, Jia Hanget al. Research on the power measurement technology for electric vehicle[J]. Journal of Tsinghua University(Science & Technology), 1997(3): 47-50.
[7]  尹安东, 张万兴, 赵韩, 等. 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(5): 433-437.
[8]  Yin Andong, Zhang Wanxing, Zhao Han, et al. Research on estimation for SOC of LiFePO4 Li-ion battery based on neural network[J]. Journal of Electronic Measurement and Instrument, 2011(5): 433-437.
[9]  Piller Sabine, Perrin Marion, Jossen Andreas. Methods for state of charge determination and their applications[J]. Journal of Power Sources, 2001, 96(1): 113-120.
[10]  夏超英, 张术, 孙宏涛. 基于推广卡尔曼滤波算法的SOC估算策略[J]. 电源技术, 2007(5): 414-417.
[11]  Xia Chaoying, ZhangShu, Sun Hongtao. A strategy of estimating state of charge based on extended Kalman filter[J]. Power Technology, 2007(5): 414-417.
[12]  Rulkov Nikolai F, Sushchik Mikhail M, Tsimring Lev S, et al. Generalized synchronization of chaos in directionally coupled chaotic systems[J]. Physical Review E, 1995, 51(2): 980-994.
[13]  陈全世, 林成涛. 电动汽车用电池性能模型研究综述[J]. 汽车技术, 2005(3): 1-5.
[14]  Chen Quanshi, Lin Chengtao. Summarization of studies on performance models of battery for electric vehicle[J]. Automotive Technology, 2005(3): 1-5.
[15]  Di Domenico, Domenico, Giovanni Fiengo. Lithium- ion battery state of charge estimation with a Kalman filter based on a electrochemical model[C]. IEEE International Conference on Control Applica- tions(CCA), 2008: 702-707.
[16]  Fang Kaizheng, Mu Daobin, Chen Shi, et al. A prediction model based on artificial neural network for surface temperature simulation of nickel-metal hydride battery during charging[J]. Journal of Power Sources, 2012, 208(0): 378-382.
[17]  Johnson V H. Battery performance models in advisor[J]. Journal of Power Sources, 2002, 110(2): 321-329.
[18]  He Hongwen, Xiong Rui, Zhang Xiaowei, et al. State-of-charge estimation of the lithium-ion battery using an adaptive extended kalman filter based on an improved thevenin model[J]. IEEE Transactions on Vehicular Technology, 2011, 60(4): 1461-1469.
[19]  Gao Wengen, Jiang Ming, Hou Youming. Research on PNGV model parameter identification of LiFePO4 li-ion battery based on fmrls[Z]. 2011: 2294-2297.
[20]  Kroeze, Ryan Carter, Krein Philip T. Electrical battery model for use in dynamic electric vehicle simulations[C]. IEEE Power Electronics Specialists Conference, 2008: 1336-1342.
[21]  Bambach M, Heinkenschloss M, HERTY M. A method for model identification and parameter estimation[J]. Inverse Problems, 2013, 29(2): 25009.
[22]  田甜, 李孝尊, 李红梅. 磷酸铁锂电池的改进建模及SOC估计[J]. 合肥工业大学学报(自然科学版), 2012(9): 1192-1195.
[23]  Tian Tian, Li Xiaozun, Li Hongmei. Modified modeling and SOC estimation of LiFePO4 Li-ion battery[J]. Journal of Hefei University Of Technology (Natural Science). 2012(9): 1192-1195.
[24]  Zhong Muda, Jiang Jiuchun. Wavelet-based identification method of li-ion battery model for electric vehicles[Z]. 2013: 1529-1532.
[25]  Hu Yuanbiao. Iterative and recursive least squares estimation algorithms for moving average systems[J]. Simulation Modeling Practice and Theory, 2013, 34(0): 12-19.
[26]  黄文华, 韩晓东, 陈全世. 电动汽车SOC估计算法与电池管理系统的研究[J]. 汽车工程, 2007(3): 198-202.
[27]  Huang Wenhua, Han Xiadong, Chen Quanshi. A study on soc estimation algorithm and battery management system for electric vehicle[J]. Automotive Engineering, 2007(3): 198-202.
[28]  Tor Steinar Schei. A finite-difference method for linearization in nonlinear estimation algorithms[J]. Automatica, 1997, 33(11): 2053-2058.

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