The novel state of charge estimation method for lithium battery using sliding mode observer

被引:307
作者
Kim, Il-Song [1 ]
机构
[1] LG Chem Res Pk, Taejon 305380, South Korea
关键词
state of charge estimation; sliding mode observer; SOC; lithium battery modeling;
D O I
10.1016/j.jpowsour.2006.09.006
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In this paper, a new state of charge estimation method for lithium battery has been presented. Contrary to the conventional methods which use complicated battery modeling, a simple resistor-capacitor battery model was used in order to reduce calculation time and system resource. Modeling errors caused by the simple model are compensated by the sliding mode observer. The structure of the proposed system is simple, but it shows robust control property against modeling errors and uncertainties. The state equation for battery model and the systematic design approach for sliding mode observer also have been presented. The convergence of proposed observer has been proved by the Lyapunov inequality equation and the performance of system has been verified by the sequence of urban dynamometer driving schedule test. The test results show the proposed observer system has robust tracking performance with reduced calculation time under the real driving environments. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:584 / 590
页数:7
相关论文
共 13 条
[1]   Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles [J].
Bhangu, BS ;
Bentley, P ;
Stone, DA ;
Bingham, CM .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2005, 54 (03) :783-794
[2]  
CAUMONT O, 1998, EL VEH S BRUSS BELG, P30
[3]   The available capacity computation model based on artificial neural network for lead-acid batteries in electric vehicles [J].
Chan, CC ;
Lo, EWC ;
Shen, WX .
JOURNAL OF POWER SOURCES, 2000, 87 (1-2) :201-204
[4]   MODELING OF GALVANOSTATIC CHARGE AND DISCHARGE OF THE LITHIUM POLYMER INSERTION CELL [J].
DOYLE, M ;
FULLER, TF ;
NEWMAN, J .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1993, 140 (06) :1526-1533
[5]  
HASKARA I, 1996, IEEE WORKSH VAR STRU, P196
[6]  
Koshkouei AJ, 1995, PROCEEDINGS OF THE 34TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, P2115, DOI 10.1109/CDC.1995.480513
[7]  
Pang S, 2001, P AMER CONTR CONF, P1644, DOI 10.1109/ACC.2001.945964
[8]   Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 2. Modeling and identification [J].
Plett, GL .
JOURNAL OF POWER SOURCES, 2004, 134 (02) :262-276
[9]  
RAMIREZ H, 1995, P 34 C DEC CONTR, P3379
[10]   A review of state-of-charge indication of batteries by means of a.c. impedance measurements [J].
Rodrigues, S ;
Munichandraiah, N ;
Shukla, AK .
JOURNAL OF POWER SOURCES, 2000, 87 (1-2) :12-20