Comparative evaluation of LiFePO4 cell SOC estimation performance with ECM structure and noise model/data rejection in the EKF for transportation application

초록

This study presents a comparison of several methods to improve state-of-charge (SOC) estimation performance using the extended Kalman Filter (EKF) algorithm for a commercial a lithium iron phosphate (LiFePO4) cell. Firstly, this work attempts to show the comparison of SOC performance according to the number of RC-ladder. Secondly, this work shows a comparison of SOC estimation with and without minor loop to overcome the difference between charging open-circuit voltage (OCV) and discharging OCV. The SOC performance with and without noise model and data rejection in the EKF is finally compared. © 2016 IEEE.