A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots

被引：36

作者：

Chang, Ming-Hui ^{[1
]}

Huang, Han-Pang ^{[1
]}

Chang, Shu-Wei ^{[2
]}

机构：

[1] Natl Taiwan Univ, Dept Mech Engn, Taipei 10617, Taiwan

[2] Natl Taiwan Univ, Grad Inst Ind Engn, Taipei 10617, Taiwan

来源：

ENERGIES | 2013年 / 6卷 / 04期

关键词：

equivalent coulombic efficiency (ECE); extended Kalman filter (EKF); LiFePO4; state of charge (SOC) estimation; LITHIUM-ION BATTERY; OPEN-CIRCUIT-VOLTAGE; LEAD-ACID-BATTERIES; OF-CHARGE; MANAGEMENT-SYSTEMS; FILTER;

D O I：

10.3390/en6042007

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：

The accurate state of charge (SOC) estimation of the LiFePO4 battery packs used in robot applications is required for better battery life cycle, performance, reliability, and economic issues. In this paper, a new SOC estimation method, "Modified ECE + EKF", is proposed. The method is the combination of the modified Equivalent Coulombic Efficiency (ECE) method and the Extended Kalman Filter (EKF) method. It is based on the zero-state hysteresis battery model, and adopts the EKF method to correct the initial value used in the Ah counting method. Experimental results show that the proposed technique is superior to the traditional techniques, such as ECE + EKF and ECE + Unscented Kalman Filter (UKF), and the accuracy of estimation is within 1%.

引用

页码：2007 / 2030

页数：24

共 36 条

[1]

[Anonymous], 2008, PAPER NO 2511

[2]

[Anonymous], 2006, P 4 INT EN CONV ENG

[3]

[Anonymous], P IEEE VEH POW PROP

[4] 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

[5]

Chen ZH, 2011, 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), P2156, DOI 10.1109/IJCNN.2011.6033495

[6]

Dai HF, 2006, PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, P342

[7]

Guodong Guo, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), P1, DOI 10.1109/CVPRW.2008.4563041

[8] State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter [J].

Han, Jaehyun ;

Kim, Dongchul ;

Sunwoo, Myoungho .

JOURNAL OF POWER SOURCES, 2009, 188 (02) :606-612

[9] Preface [J].

Hu, Xiaodong ;

Wang, Jie .

JOURNAL OF COMBINATORIAL OPTIMIZATION, 2011, 21 (01) :1-1

[10] Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer [J].

Hu, Xiaosong ;

Sun, Fengchun ;

Zou, Yuan .

ENERGIES, 2010, 3 (09) :1586-1603

← 1 2 3 4 →