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
收藏
页码：2007 / 2030
页数：24
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