Lithium battery parameter identification and SOC estimation based on dual-polarized model

An equivalent circuit model of dual polarization (DP) lithium battery was established according to the application characteristics under standby condition 5G base station. On basis model, recursive least square method with forgetting factor (RLS) used identify parameters. Finally, Unscented Kalman filtering (UKF) estimate SOC in real time identified The simulation and experimental results showed that combined estimation using UKF could greatly improve accuracy SOC, reduce error, further verify effectiveness whole modeling.