Kalman filter and classical Preisach hysteresis model applied to the state of charge battery estimation

The goal of this work is first to include a hysteresis model in the classical equivalent circuit (ECM) for battery system and then improve estimation state charge (SoC) by applying Extended Kalman Filter (EKF). hysteretic behavior open voltage (OCV) modelled with Preisach used magnetic materials. construction operator made means Everett function identified from experimental data which only involve charging curves battery. Thus, significant reduction time necessary obtain measurements achieved. assessed some laboratory experiments performed on lithium-ion results show that procedure very well reproduced, even when interior loops are present. In addition, use EKF allows us eliminate noise ensure accuracy SoC estimation. high computational efficiency precision method, joined limited resources needed numerical implementation, make it particularly suitable real-time embedded management (BMS) applications. proposed methodology well-adapted any type, independently SoC-OCV profile cycle.