A New State of Charge Estimation Method for LiFePO 4 Battery Packs Used in Robots

Ming-Hui Chang, Han-Pang Huang and Shu-Wei Chang
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Ming-Hui Chang: Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
Han-Pang Huang: Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
Shu-Wei Chang: Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 10617, Taiwan

Energies, 2013, vol. 6, issue 4, 1-24

Abstract: The accurate state of charge (SOC) estimation of the LiFePO 4 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%.

Keywords: equivalent coulombic efficiency (ECE); extended Kalman filter (EKF); LiFePO 4; state of charge (SOC) estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (53)

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