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

Energies

Ming-Hui Chang¹  Han-Pang Huang¹ 

[1] Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan; E-Mail:

关键词: equivalent coulombic efficiency (ECE);    extended Kalman filter (EKF);    LiFePO₄;    state of charge (SOC) estimation;   

DOI  :  10.3390/en6042007

来源: mdpi

【 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%.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.