State‐of‐charge estimation technique for lithium‐ion batteries by means of second‐order extended Kalman filter and equivalent circuit model: Great temperature robustness state‐of‐charge estimation

• DOI: 10.1049/pel2.12129
• Publication Date: 2021-04-21T03:09:58Z
• Authors: Yanyan Fang; Qiang Zhang; Hang Zhang; Weicheng Xu; Linshu Wang; Xueling Shen; Fengling Yun; Yi Cui; Lin Wang; Xin Zhang
• Keywords: State of charge; Robustness

The present work focuses on the state-of-charge (SOC) estimation of a lithium-ion battery in terms second-order extended Kalman filter (EKF). First, an equivalent circuit model is introduced to describe performance batteries. parameters are then identified through hybrid pulse power characterization experiments conducted over wide range temperatures (−10 55°C). A two-dimensional mathematical relationship established with respect SOC and temperature based dual-fifth polynomial expression. main effects sensitivities analysed according principle variance analysis partial derivatives. An algorithm developed, which combines parameter EKF. Finally, proposed approach validated compared other schemes discharge under extreme dynamic loading profiles, yields experimental results that estimate absolute error less than 4.5% harsh conditions. This not only demonstrates it can characterize dependency operating conditions address uncertainty parameters, but also verifies advantage method at low especially sub-zero temperatures.