Energies 2013, 6(4), 2007-2030; doi:10.3390/en6042007
Article

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

1 Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan 2 Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 10617, Taiwan
* Author to whom correspondence should be addressed.
Received: 30 November 2012; in revised form: 11 March 2013 / Accepted: 13 March 2013 / Published: 8 April 2013
(This article belongs to the Special Issue Li-ion Batteries and Energy Storage Devices)
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Abstract: 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%.
Keywords: equivalent coulombic efficiency (ECE); extended Kalman filter (EKF); LiFePO4; state of charge (SOC) estimation

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MDPI and ACS Style

Chang, M.-H.; Huang, H.-P.; Chang, S.-W. A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots. Energies 2013, 6, 2007-2030.

AMA Style

Chang M-H, Huang H-P, Chang S-W. A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots. Energies. 2013; 6(4):2007-2030.

Chicago/Turabian Style

Chang, Ming-Hui; Huang, Han-Pang; Chang, Shu-Wei. 2013. "A New State of Charge Estimation Method for LiFePO4 Battery Packs Used in Robots." Energies 6, no. 4: 2007-2030.

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