Maamar Souaihia
University Hassiba Benbouali of Chlef

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State of charge estimation by using extended Kalman filter based on improved open circuit voltage model Maamar Souaihia; Bachir Belmadani; Rachid Taleb; Kamel Tounsi
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1243.155 KB) | DOI: 10.11591/ijape.v10.i1.pp1-10

Abstract

This paper focuses on the state of charge estimation (SOC) for battery Li-ion. By modeling a battery based on the equivalent circuit model, the extended Kalman filter approach can be applied to estimate the battery SOC. An electrical battery model is developed in Matlab, Where the structure of the model is detailed by equations and blocks. The battery model has been validated from the experiment results. The comparison shows a good agreement in predicting the voltage, SOC estimation and the model performs better in SOC estimation.