Next Article in Journal
Evaluation of a Model for Predicting the Tidal Velocity in Fjord Entrances
Next Article in Special Issue
Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function
Previous Article in Journal
Optimal Constant DC Link Voltage Operation of a Wave Energy Converter
Previous Article in Special Issue
Preparation and Doping Mode of Doped LiMn2O4 for Li-Ion Batteries
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
, 1,*  and 2
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)
Download PDF [712 KB, uploaded 8 April 2013]
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 equivalent coulombic efficiency (ECE); extended Kalman filter (EKF); LiFePO4; state of charge (SOC) estimation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


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.


Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert