一种动力电池动态特性建模

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (3250 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Battery’s dynamics need to be modeled accurately for effective battery management. A nengineering modeling method for power battery dynamics is proposed. This method is based on the internal physical-chemical mechanism of the battery dynamics and the nonlinearity of battery’s constant current characteristics. The core of the proposed method includes a model consisting of a constant current curve and an equivalent circuit model, and a set of procedures, i.e.battery test and data processing, for obtainingthe modelparameters. Compared with existing methods, the proposed method has better accuracy and wider applications, and is easier to be implemented.

Key words： Power battery dynamics constant current curves equivalent circuit model

Received: 29 April 2015 Published: 12 July 2016

PACS:	TQ152
	TP29

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I11/194

[1] Feng Xuning,Li Jianqiu,Lu Languang,et al.Research on a battery test profile based on road test data from hybrid fuel cell buses[J].Journal of Power Sources,2012,209:30-39.
[2] Lu Languang,Han Xuebing,Li Jianqiu,et al.A review on the key issues for lithium-ion battery management in electric vehicles[J].Journal of Power Sources,2013,226(3):272-288.
[3] Jossen A.Fundamentals of battery dynamics[J].Journal of Power Sources,2006,154(2):272-288.
[4] Chen M,Rincón-Mora G A.Accurate electrical battery model capable of predicting runtime and I-V performance[J].IEEE Transactions on Energy Conversion,2006,21(2):504-511.
[5] Hu Xiaosong,Li Shengbo,Peng Huei.A comparative study of equivalent circuit models for li-ion batteries[J].Journal of Power Sources,2012,198(1):359-367.
[6] 马泽宇,姜久春,张维戈,等.锂离子动力电池热老化的路径依赖性研究[J].电工技术学报,2014,29(5):221-227.
Ma Zeyu,Jiang Jiuchun,Zhang Weige,et al.Research on path dependence of large format LiMn₂O₄ battery degradation in thermal aging[J].Transactions of China Electrotechnical Society,2014,29(5):221-227.
[7] 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.
[8] 刘月贤,王天钰,杨亚宇,等.电动汽车充放电系统建模与仿真[J].电力系统保护与控制,2014,42(13):71-76.
Liu Yuexian,Wang Tianyu,Yang Yayu,et al.Modeling and simulation of electric vehicles’ charge and discharge system[J].Power System Protection and Control,2014,42(13):71-76.
[9] Bard A J,Faulkner L R.Electrochemical methods fundamentals and applications[M].2nd ed.New York:John Wiley & Sons Inc.,2001.
[10]Buller S,Thele M,Karden E.Impedance-based non-linear dynamic battery modeling for automotive applications[J].Journal of Power Sources,2003,113(2):422-430.
[11]Andre D,Meiler M,Steiner K,et al.Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy Ⅰ:experimental investigation[J].Journal of Power Sources,2011,196(12):5334-5341.
[12]Andre D,Meiler M,Steiner K,et al.Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy Ⅱ:modelling[J].Journal of Power Sources,2011,196(12):5349-5356.
[13]Fleischer C,Waag W,Heyn H M,et al.On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models part 1:requirements critical review of methods and modeling[J].Journal of Power Sources,2014,260(8):276-291.
[14]Fleischer C,Wang W,Heyn H M,et al.On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models part 2:parameter and state estimation[J].Journal of Power Sources,2014,260(9):457-482.
[15]Schmidt J P,Chrobak T,Ender M,et al.Studies on LiFePO₄ as cathode material using impedance spectroscopy[J].Journal of Power Sources,2011,196(12):5342-5348.
[16]Bhide S,Shim T.Novel predictive electric li-ion battery model incorporating thermal and rate factor effects[J].IEEE Transactions on Vehicular Technology,2011,60(3):819-829.
[17]Roscher M A,Sauer D U.Dynamic electric behavior and open-circuit-voltage modeling of LiFePO₄-based lithium-ion secondary batteries[J].Journal of Power Sources,2011,196(1):331-336.
[18]Chiang Y H,Sean W Y,Ke J C.Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles[J].Journal of Power Sources,2011,196(8):3921-3932.
[19]Roscher M A,Assfalg J,Bohlen O S.Detection of utilizable capacity deterioration in battery systems[J].IEEE Transactions on Vehicular Technology,2011,60(1):98-103.
[20]翁国庆,张有兵,戚军,等.多类型电动汽车电池集群参与微网储能的V2G 可用容量评估[J].电工技术学报,2014,29(8):36-45.
Weng Guoqing,Zhang Youbing,Qi Jun,et al.Evaluation for V2G available capacity of battery groups of electric vehicles as energy storage elements in microgrid[J].Transactions of China Electrotechnical Society,2014,29(8):36-45.
[21]黄麒元,刘娇娇,王致杰.Kinetic电池模型在微电网调度的应用研究[J].电力系统保护与控制,2016,44(4):97-102.
Huang Qiyuan,Liu Jiaojiao,Wang Zhijie.Application research for Kinetic battery model in micro-grid system scheduling[J].Power System Protection and Control,2016,44(4):97-102.
[22]He H,Xiong R,Zhang X,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.
[23]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 batterybased on finite difference extended Kalman filter[J].Transactions of China Electrotechnical Society,2014,29(1):221-228.
[24]冯飞,宋凯,逯仁贵,等.磷酸铁锂电池组均衡控制策略及荷电状态估计算法[J].电工技术学报,2015,30(1):22-29.
Feng Fei,Song Kai,Lu Rengui,et al.Equalization control strategy and SOC estimation for LiFePO₄ battery pack[J].Transactions of China Electrotechnical Society,2015,30(1):22-29.
[25]王伟,薛金花,叶季蕾,等.基于 SOC 调控的用于抑制光伏波动的电池储能优化控制方法[J].电力系统保护与控制,2014,42(2):75-80.
Wang Wei,Xue Jinhua,Ye Jilei,et al.An optimization control design of battery energy storage based on SOC for leveling off the PV power fluctuation[J].Power System Protection and Control,2014,42(2):75-80.
[26]谢涛,曹军威,高田,等.基于滑动最小二乘算法和电池荷电状态的储能系统平滑控制策略[J].电力系统保护与控制,2015,43(5):1-7.
Xie Tao,Cao Junwei,Gao Tian,et al.An energy storage system smoothing control strategy based on sliding least square algorithm and battery SOC[J].Power System Protection and Control,2015,43(5):1-7.
[27]Ceraolo M.New dynamical models of lead-acid batteries[J].IEEE Transactions on Power Systems,2000,15(4):1184-1190.
[28]Doyle M,Fuller T F,Newman J.Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell[J].Journal of Electrochemical Society,1993,140(6):1526-1533.
[29]Lin X,Perez H E,Mohan S,et al.A lumped-parameter electro-thermal model for cylindrical batteries[J].Journal of Power Sources,2014,257(7):1-11.
[30]Cai L,White R E.Mathematical modeling of a lithium ion battery with thermal effects in COMSOL Inc Multiphysics(MP)software[J].Journal of Power Sources,2011,196(14):5985-5989.
[31]Gomez J,Nelson R,Kalu E E,et al.Equivalent circuit model parameters of a high-power li-ion battery:thermal and state of charge effects[J].Journal of Power Sources,2011,196(10):4826-4831.
[32]Li J,Cheng Y,Jia M,et al.An electrochemical-thermal model based on dynamic responses for lithium iron phosphate battery[J].Journal of Power Sources,2014,255(6):130-143.