Abstract:The state-of-power (SOP) of Li-ion batteries is an important parameter for security control and energy recovery of electric vehicles.The current SOP estimation algorithm at room temperature is inaccurate, which may cause the excessive current at high or low temperature to affect the security and cycle life of the battery.Therefore, the capacity and resistance of the Li-ion battery are tested at different temperature to build the capacity-temperature model and resistance-temperature model for more accurate prediction of the Li-ion parameters.Then an algorithm with multi-parameters constrained based on extend Kalman filter (EKF) is used to estimate the SOP of the Li-ion battery at different temperatures.The method can adapt to different temperature conditions and realize high estimation accuracy.The simulation and experimental results verify the theoretical analysis.
刘新天,何耀,曾国建,郑昕昕. 考虑温度影响的锂电池功率状态估计[J]. 电工技术学报, 2016, 31(13): 155-163.
Liu Xintian, He Yao ,Zeng Guojian ,Zheng Xinxin. State-of-Power Estimation for Li-ion Battery Considering the Effect of Temperature. Transactions of China Electrotechnical Society, 2016, 31(13): 155-163.
[1] Yoon S,Hwang I,Lee C,et al.Power capability analysis in lithium ion batteries using electrochemical impedance spectroscopy[J].Journal of Electroanalytical Chemistry,2011,655(1):32-38. [2] Plett G L.High-performance battery-pack power estimation using a dynamic cell model[J].IEEE Transactions on Vehicular Technology,2004,53(5):1586-1593. [3] Zhang C P,Zhang C N,Sharkh S M.Estimation of real-time peak power capability of a traction battery pack used in an HEV[C]//Asia-Pacific Power and Energy Engineering Conference,Chengdu,2010:1-6. [4] Xiong R,He H,Sun F,et al.Online estimation of peak power capability of Li-ion batteries in electric vehicles by a hardware-in-loop approach[J].Energies,2012,5(12):1455-1469. [5] Sun Fengchun,Xiong Rui,He Hongwen,et al.Model-based dynamic multi-parameter method for peak power estimation of lithium-ion batteries[J].Applied Energy,2013,96(3):378-386. [6] Xiong Rui,He Hongwen,Sun Fengchun,et al.Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles[J].Journal of Power Sources,2013,229(9):159-169. [7] 熊瑞,何洪文,许永莉,等.电动汽车用动力电池组建模及参数辨识方法[J].吉林大学学报,2012,42(4):809-815. Xiong Rui,He Hongwen,Xu Yongli,et al.Modeling and parameter identification approach for power battery pack used in electric vehicle[J].Journal of Jilin University,2012,42(4):809-815. [8] Dubarry M,Truchot C C,Liaw B Y,et al.Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications III:effect of thermal excursions without prolonged thermal aging[J].Journal of the Electrochemical Society,2013,160(1):A191-A199. [9] Liu X,Chen Z,Zhang C,et al.A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation[J].Applied Energy,2014,123(3):263-272. [10]冯飞,逯仁贵,朱春波.一种锂离子电池低温SOC估计算法[J].电工技术学报,2014,29(7):53-58. Feng Fei,Lu Rengui,Zhu Chunbo.State of charge estimation of Li-ion battery at low temperature[J].Transactions of China Electrotechnical Society,2014,29(7):53-58. [11]Fleischera C,Waaga W,Baia Z,et al.Self-learning state-of-available-power prediction for lithium-ion batteries in electrical vehicles[C]//IEEE Vehicle Power and Propulsion Conference,Seoul,2012:370-375. [12]USABC and DOE National Laboratories.SAND 99-0497 Electric vehicle battery test procedures manual[S].United States:United States Advanced Battery Consortium,1996. [13]王洪伟,杜春雨,王常波.锂离子电池的低温性能研究[J].电池,2009,39(4):208-210. Wang Hongwei,Du Chunyu,Wang Changbo.Study of low temperature performance of Li-ion battery[J].Battery Bimonthly,2009,39(4):208-210. [14]Li Jie,Yuan Changfu,Guo Zhihong,et al.Limiting factors for low-temperature performance of electrolytes in LiFePO4/Li and graphite/Li half cells[J].Electrochimica Acta,2012,59(4):69-74. [15]师元康,姜振超,赵书涛.基于内部温度的继电保护装置时变失效率研究[J].电力系统保护与控制,2016,44(4):123-128. Shi Yuankang,Jiang Zhenchao,Zhao Shutao.Research on time-varying failure rate of protection devices based on internal temperature[J].Power System Protection and Control,2016,44(4):123-128. [16]Freedom CAR Program Electrochemical Energy Storage Team.DOE/ID-11069 Freedom CAR Battery Test manual for power-assist hybrid electric vehicles[S].United States:U.S.Department of Energy,2003. [17]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. Chen Quanshi,Lin Chengtao.Summarization of studies on performance models of battery for electric vehicle[J].Automotive Technology,2005(3):1-5. [18]He Yao,Liu Xingtao,Zhang Chenbin,et al.A new model for state-of-charge (SOC)estimation for high-power Li-ion batteries[J].Applied Energy,2013,101(1):808-814. [19]Zhong L,Zhang C,He Y,et al.A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis[J].Applied Energy,2014,113(1):558-564. [20]陈息坤,孙冬,陈小虎.锂离子电池建模及其荷电状态鲁棒估计[J].电工技术学报,2015,30(15):141-147. Chen Xikun,Sun Dong,Chen Xiaohu.Modeling and state of charge robust estimation for lithium-ion batteries[J].Transactions of China Electrotechnical Society,2015,30(15):141-147. [21]连湛伟,石欣,克潇,等.电动汽车充换电站动力电池全寿命周期在线检测管理系统[J].电力系统保护与控制,2014,42(12):137-142. Lian Zhanwei,Shi Xin,Ke Xiao,et al.The whole life cycle on-line detection and management system of power battery in the electric vehicle charging and exchanging station[J].Power System Protection and Control,2014,42(12):137-142. [22]高明煜,何志伟,徐杰.基于采样点卡尔曼滤波的动力电池SOC估计[J].电工技术学报,2011,26(11):161-167. Gao Mingyu,He Zhiwei,Xu Jie.Sigma point Kalman filter based SOC estimation for power supply battery[J].Transactions of China Electrotechnical Society,2011,26(11):161-167. [23]刘新天,刘兴涛,何耀,等.基于Vmin-EKF的动力锂电池组SOC估计[J].控制与决策,2010,25(3):445-448. Liu Xintian,Liu Xingtao,He Yao,et al.Based-Vmin-EKF SOC estimation for power Li-ion battery pack[J].Control and Decision,2010,25(3):445-448. [24]何耀,张陈斌,刘兴涛,等.基于信息融合的LiFePO4动力电池组SOC估计[J].控制与决策,2014,29(1):188-192. He Yao,Zhang Chenbin,Liu Xingtao,et al.SOC estimation for LiFePO4 high-power batteries based on information fusion[J].Control and Decision,2014,29(1):188-192. [25]赵仁德,马帅,李海舰,等.基于强跟踪滤波器的电力系统频率测量算法[J].电力系统保护与控制,2013,41(7):85-90. Zhao Rende,Ma Shuai,Li Haijian,et al.Strong tracking filter based frequency-measuring algorithm for power system[J].Power System Protection and Control,2013,41(7):85-90. [26]刘艳莉,戴胜,程泽,等.基于有限差分扩展卡尔曼滤波的锂离子电池SOC估计[J].电工技术学报,2014,29(1):221-228. Liu Yanli,Dai Sheng,Cheng Ze,et al.Estimation of state of charge of lithium-ion battery based on finite difference extended Kalman filter[J].Transactions of China Electrotechnical Society,2014,29(1):221-228. [27]李江,王义伟,魏超,等.卡尔曼滤波理论在电力系统中的应用综述[J].电力系统保护与控制,2014,42(6):135-144. Li Jiang,Wang Yiwei,Wei Chao,et al.A survey on the application of Kalman filtering method in power system[J].Power System Protection and Control,2014,42(6):135-144. [28]谷志锋,朱长青,邵天章,等.全状态EKF估计的最优反演鲁棒励磁控制设计[J].电力系统保护与控制,2013,41(19):118-125. Gu Zhifeng,Zhu Changqing,Shao Tianzhang,et al.Design of the optimum back-stepping nonlinear robust excitation control based on the all state parameters EKF estimate[J].Power System Protection and Control,2013,41(19):118-125.