Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries

Batteries are everywhere, in all forms of transportation, electronics, and constitute a method to store clean energy. Among the diverse types available, lithium-iron-phosphate (LiFePO4) battery stands out for its common usage many applications. For battery’s safe operation, state charge (SOC) health (SOH) estimations essential. Therefore, reliable robust observer is proposed this paper which could estimate SOC SOH LiFePO4 batteries simultaneously with high accuracy rates. purpose, model was developed by establishing an equivalent-circuit ambient temperature current as inputs, while measured output adopted be voltage where terminal sensors utilized. Another vital contribution formulating comprehensive that combines three parts: thermal model, electrical aging model. To ensure rates observer, we adopt use dual extend Kalman filter (DEKF) estimation batteries. test effectiveness various simulations cases were performed construction system simulation done using MATLAB. The findings confirm best voltage-temperature (VT) observe accurately great robustness, open-loop used SOH. Furthermore, robustness designed proved simulating ill-conditions involve wrong initial estimates parameters. results demonstrate reliability estimating