An Approach for SOC Estimation Based on Sliding Mode Observer and Fractional Order Equivalent Circuit Model of Lithium-Ion Batteries

被引:0
作者
Zhong, Fuli [1 ]
Li, Hui [1 ]
Zhong, Qishui [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Sichuan Provenc, Peoples R China
来源
2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014) | 2014年
关键词
Sliding mode observer; fractional order equivalent circuit model; state of charge (SOC) estimation; lithiumion battery; CHARGE ESTIMATION; MANAGEMENT-SYSTEMS; PART; STATE; PACKS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A state of charge (SOC) estimation method based on sliding mode observer (SMO) and fractional order equivalent circuit model (FOECM) of lithium-ion batteries is presented. A fractional order equivalent circuit model was applied to model the lithium-ion battery and the sliding mode observers were designed to compensate the errors and uncertainties which are caused by the model in modeling. The convergence of the sliding mode observer is guaranteed by the Lyapunov inequality equation. The results of simulation experiment for the presented approach show the proposed method can estimate the SOC efficiently and accurately with good performance.
引用
收藏
页码:1497 / 1503
页数:7
相关论文
共 20 条
[1]   Battery state-of-charge estimator using the SVM technique [J].
Alvarez Anton, J. C. ;
Garcia Nieto, P. J. ;
de Cos Juez, F. J. ;
Sanchez Lasheras, F. ;
Gonzalez Vega, M. ;
Roqueni Gutierrez, M. N. .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (09) :6244-6253
[2]  
[鲍可进 Bao Kejin], 2012, [计算机工程与科学, Computer Engineering and Science], V34, P169
[3]   Impedance-based simulation models of supercapacitors and Li-ion batteries for power electronic applications [J].
Buller, S ;
Thele, M ;
De Doncker, RWAA ;
Karden, E .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2005, 41 (03) :742-747
[4]  
Chen XP, 2013, C IND ELECT APPL, P601
[5]   A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles [J].
Chen, Xiaopeng ;
Shen, Weixiang ;
Cao, Zhenwei ;
Kapoor, Ajay .
JOURNAL OF POWER SOURCES, 2014, 246 :667-678
[6]  
Dadras S, 2011, IEEE DECIS CONTR P, P6925, DOI 10.1109/CDC.2011.6161100
[7]   ZEBRA battery SOC estimation using PSO-optimized hybrid neural model considering aging effect [J].
Gharavian, Davood ;
Pardis, Reza ;
Sheikhan, Mansour .
IEICE ELECTRONICS EXPRESS, 2012, 9 (13) :1115-1121
[8]   State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model [J].
He, Hongwen ;
Xiong, Rui ;
Zhang, Xiaowei ;
Sun, Fengchun ;
Fan, JinXin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (04) :1461-1469
[9]  
Kibas AA., 2006, THEORY APPL FRACTION
[10]   A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer [J].
Kim, Il-Song .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2010, 25 (04) :1013-1022