Kalman filter observer for SoC prediction of Lithium cells

Abstract

The SoC estimation of Li Ion batteries presents a difficult task for almost applications in order to ensure their higher energy density and their safety. Hence, there have been several methods to optimize the state of charge of the Lithium cells such as observer strategies which have been considered in this work. Kalman filter observer has been selected for state optimization. It has been considered to stabilize the error estimation of battery state thanks to its gain through the following non linear fractional model. The fractional model has been deduced from analysis of Impedance Spectroscopy data and it has been well defined by Fractional Order Calculus. The performance of Kalman filter has been evaluated through the simulation results. They have improved the efficiency and limits of Kalman theory to determine the actual internal state of cells.