State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge

被引:608
作者
Lee, Seongjun [1 ]
Kim, Jonghoon [1 ]
Lee, Jaemoon [1 ]
Cho, B. H. [1 ]
机构
[1] Seoul Natl Univ, Sch Elect Engn & Comp Sci, Seoul 151744, South Korea
基金
欧洲研究理事会;
关键词
State-of-charge; Capacity; Dual extended Kalman filter; Lithium-ion battery;
D O I
10.1016/j.jpowsour.2008.08.103
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
Open-circuit voltage (OCV) is widely used to estimate the state-of-charge (SoC) in many SoC estimation algorithms. However, the relationship between the OCV and SoC cannot be exactly same for all batteries. Because the conventional OCV-SoC differs among batteries, there is a problem in that the relationship of the OCV-SoC should be measured to estimate accurately the SoC. Therefore, a modified OCV-SoC relationship based oil the conventional OCV-SoC is proposed. Problems resulting from the defects of the extended Kalman filter (EKF) can be avoided by preventing the relationship from varying. Also, in order to improve the performance of the algorithm, measurement noise models of the Kalman filter are applied. Thus, the measurement noise models allow the Kalman filter to overcome defects from the simplified battery modelling and to separate the sequence for estimation of the state and weight filter. The SoC and the capacity of a lithium-ion battery are estimated using the dual EKF with the proposed method. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1367 / 1373
页数:7
相关论文
共 13 条
[1]   Rapid test and non-linear model characterisation of solid-state lithium-ion batteries [J].
Abu-Sharkh, S ;
Doerffel, D .
JOURNAL OF POWER SOURCES, 2004, 130 (1-2) :266-274
[2]   Aging mechanism in Li ion cells and calendar life predictions [J].
Broussely, M ;
Herreyre, S ;
Biensan, P ;
Kasztejna, P ;
Nechev, K ;
Staniewicz, RJ .
JOURNAL OF POWER SOURCES, 2001, 97-8 :13-21
[3]   Impedance-based non-linear dynamic battery modeling for automotive applications [J].
Buller, S ;
Thele, M ;
Karden, E ;
De Doncker, RW .
JOURNAL OF POWER SOURCES, 2003, 113 (02) :422-430
[4]   Dynamic lithium-ion battery model for system simulation [J].
Gao, LJ ;
Liu, SY ;
Dougal, RA .
IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES, 2002, 25 (03) :495-505
[5]  
Haykin S, 2001, ADAPT LEARN SYST SIG, P1
[6]   Fundamentals of battery dynamics [J].
Jossen, A .
JOURNAL OF POWER SOURCES, 2006, 154 (02) :530-538
[7]   Li-ion battery SOC estimation method based on the reduced order extended Kalman filtering [J].
Lee, Jaemoon ;
Nam, Oanyong ;
Cho, B. H. .
JOURNAL OF POWER SOURCES, 2007, 174 (01) :9-15
[8]   Battery Monitoring and Electrical Energy Management - Precondition for future vehicle electric power systems [J].
Meissner, E ;
Richter, G .
JOURNAL OF POWER SOURCES, 2003, 116 (1-2) :79-98
[9]  
Park HS, 2007, J POWER ELECTRON, V7, P343
[10]   Methods for state-of-charge determination and their applications [J].
Piller, S ;
Perrin, M ;
Jossen, A .
JOURNAL OF POWER SOURCES, 2001, 96 (01) :113-120