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2014 Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter
Ze Cheng, Jikao Lv, Yanli Liu, Zhihao Yan
J. Appl. Math. 2014(SI07): 1-10 (2014). DOI: 10.1155/2014/348537

Abstract

An accurate estimation of the state of charge (SOC) of the battery is of great significance for safe and efficient energy utilization of electric vehicles. Given the nonlinear dynamic system of the lithium-ion battery, the parameters of the second-order RC equivalent circuit model were calibrated and optimized using a nonlinear least squares algorithm in the Simulink parameter estimation toolbox. A comparison was made between this finite difference extended Kalman filter (FDEKF) and the standard extended Kalman filter in the SOC estimation. The results show that the model can essentially predict the dynamic voltage behavior of the lithium-ion battery, and the FDEKF algorithm can maintain good accuracy in the estimation process and has strong robustness against modeling error.

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Ze Cheng. Jikao Lv. Yanli Liu. Zhihao Yan. "Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter." J. Appl. Math. 2014 (SI07) 1 - 10, 2014. https://doi.org/10.1155/2014/348537

Information

Published: 2014
First available in Project Euclid: 1 October 2014

Digital Object Identifier: 10.1155/2014/348537

Rights: Copyright © 2014 Hindawi

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Vol.2014 • No. SI07 • 2014
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