A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles

被引:29
作者
Chen, Zheng [1 ]
Li, Xiaoyu [1 ]
Shen, Jiangwei [1 ]
Yan, Wensheng [1 ]
Xiao, Renxin [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Transportat Engn, Kunming 650500, Peoples R China
基金
美国国家科学基金会;
关键词
daptive extended Kalman filter (AEKF); electric vehicle (EV); state of charge (SOC); weighed coefficients; OPEN-CIRCUIT VOLTAGE; SUPPORT VECTOR MACHINE; OF-CHARGE; MANAGEMENT-SYSTEMS; GENETIC ALGORITHM; SOC ESTIMATION; KALMAN FILTER; PARAMETER; MODEL;
D O I
10.3390/en9090710
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting different weighed coefficients, a battery pack SOC estimation algorithm is established based on the single cell estimation. The proposed method can not only precisely estimate the battery pack SOC, but also effectively prevent the battery pack from overcharge and over-discharge, thus providing safe operation. Experiment results verify the feasibility of the proposed algorithm.
引用
收藏
页数:15
相关论文
共 42 条
[1]   Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries [J].
Andre, Dave ;
Appel, Christian ;
Soczka-Guth, Thomas ;
Sauer, Dirk Uwe .
JOURNAL OF POWER SOURCES, 2013, 224 :20-27
[2]   Critical review of state of health estimation methods of Li-ion batteries for real applications [J].
Berecibar, M. ;
Gandiaga, I. ;
Villarreal, I. ;
Omar, N. ;
Van Mierlo, J. ;
Van den Bossche, P. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 :572-587
[3]  
Cai CH, 2003, IEEE INT CONF FUZZY, P1068
[4]  
Chen Z., 2015, P 2015 IEEE TRANSP E
[5]   Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming [J].
Chen, Zheng ;
Mi, Chris Chunting ;
Xiong, Rui ;
Xu, Jun ;
You, Chenwen .
JOURNAL OF POWER SOURCES, 2014, 248 :416-426
[6]   Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications [J].
Chen, Zheng ;
Mi, Chunting Chris ;
Fu, Yuhong ;
Xu, Jun ;
Gong, Xianzhi .
JOURNAL OF POWER SOURCES, 2013, 240 :184-192
[7]   State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering [J].
Chen, Zheng ;
Fu, Yuhong ;
Mi, Chunting Chris .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (03) :1020-1030
[8]  
Cuadras A., 2009, P 6 INT MULT SYST SI
[9]   ANFIS (adaptive neuro-fuzzy inference system) based online SOC (State of Charge) correction considering cell divergence for the EV (electric vehicle) traction batteries [J].
Dai, Haifeng ;
Guo, Pingjing ;
Wei, Xuezhe ;
Sun, Zechang ;
Wang, Jiayuan .
ENERGY, 2015, 80 :350-360
[10]   Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model [J].
Dang, Xuanju ;
Yan, Li ;
Xu, Kai ;
Wu, Xiru ;
Jiang, Hui ;
Sun, Hanxu .
ELECTROCHIMICA ACTA, 2016, 188 :356-366