SoC Estimation of Li-ion Battery using Extended Kalman Filter

Determining the SoC of the Li-ion battery is crucial for enhancing electric vehicle (EV) applications and amending the storage of energy in renewable systems This paper focuses on an improved approach to evaluate the State of Charge (SoC) utilizing an Extended Kalman Filter (EKF) on a first-order RC equivalent circuit model (ECM) in MATLAB/Simulink. Before SoC estimation of the battery, the accurate modeling of the battery is very crucial for finding out the effectiveness of SoC estimation technique in the simulation environment. The curve fitting technique is applied to calculate the relation on different points obtained by conducting different tests. The result shows the justification of the EKF method over Coulomb counting.