A State of Charge Estimation Method for Lithium-Ion Battery Using PID Compensator-Based Adaptive Extended Kalman Filter

With the widespread application of electric vehicles, study power lithium-ion battery (LIB) has broad prospects and great academic significance. The state charge (SOC) is one key parts in management system (BMS), which used to provide guarantee for safe efficient operation LIB. To obtain reliable SOC estimation result under influence simple model measurement noise, a novel method with adaptive feedback compensator presented this paper. simplified dynamic external electrical characteristic LIB represented by one-order Thevenin equivalent circuit (ECM) then ECM parameters are identified forgetting factor recursive least squares (FFRLS). Fully taking into account effect terminal voltage innovation, combination extended Kalman filter (AEKF) innovation vector-based proportional-integral-derivative (PID) proposed estimate SOC. common single proportional (KF) replaced PID feedback, means that multiple prior correction step KF. results reveal AEKF compensation strategy can improve performance compared AEKF, it reveals good robust capability rapid convergence speed initial errors. maximum absolute error average close 4% 2.6%, respectively.