Real-Time State of Charge-Open Circuit Voltage Curve Construction for Battery State of Charge Estimation

All state of charge (SoC) estimation algorithms based on equivalent circuit models (ECMs) estimate the open voltage (OCV) and convert it to SoC using SoC-OCV nonlinear relation. These require identification ECM parameters In literature, various techniques are proposed simultaneously identify parameters. However, simultaneous relation remains challenging. This paper presents a novel technique construct relation, which is eventually converted single parameter problem. The Kalman filter implemented related states in batteries construction technique. numerical simulations, algorithm demonstrates that accurately estimates battery model parameters, error below 2%. We also validate with experiment. experimental results show within 2.5%.