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

作者：Chang Ming Hui; Huang Han Pang^*; Chang Shu Wei

来源：Energies, 2013, 6(4): 2007-2030.

DOI：10.3390/en6042007

• equivalent coulombic efficiency (ECE)
• extended Kalman filter (EKF)
• LiFePO4
• state of charge (SOC) estimation

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%.

• 出版日期2013-4