Research on Co-Estimation Algorithm of SOC and SOH for Lithium-Ion Batteries in Electric Vehicles

• DOI: 10.3390/electronics11020181
• Publication Date: 2022-01-10T01:21:56Z
• Authors: Chang-Qing Du; Jian-Bo Shao; Dong-Mei Wu; Zhong Ren; Zhong-Yi Wu; Wei-Qun Ren
• Keywords: Thévenin's theorem; State of charge; State of health

The accurate estimation of the state charge (SOC) and health (SOH) is great significance to energy management safety in electric vehicles. To achieve a good trade-off between real-time capability accuracy, collaborative algorithm for SOC SOH presented based on Thevenin equivalent circuit model, which combines recursive least squares method with forgetting factor extended Kalman filter. First, parameter identification accuracy studied under dynamic stress test (DST) federal urban driving schedule (FUDS) at different ambient temperatures (0 °C, 25 45 °C). Secondly, FUDS used verify accuracy. Thirdly, two batteries aging degrees are validate proposed algorithm. Subsequently, studied, considering influence updating SOH. can performance °C), maximum error less than 2.3%. 4.3% aged it be reduced 1.4% after optimization. Furthermore, calibrating capacity as changes effectively improve over whole battery life.