A Comprehensive Evaluation of the Influence of Major Hysteresis on State of Charge Prediction of LiNiMnCoO2 Battery

Accurate open-circuit voltage (OCV) is crucial for state of charge (SoC) estimation lithium-ion batteries and, hence has become a key factor to ensure the safety and reliability electric vehicles (EVs). In engineering, incremental OCV (IO) testing been widely used calibrating. Based on this, commonly simplified by averaging discharging charging OCVs, which essentially ignores influence major hysteresis (MH). By series experiments LiNiMnCoO 2 battery, this work first systematically investigated MH SoC via diverse current profiles tested at various ambient temperatures. Besides, recursive least square (RLS) particle filter (PF) algorithms were introduced estimate battery parameters SoC, respectively. The results report that, compared with traditional method, direction can enhance accuracy process all operating conditions above, MH-based maximum mean absolute error be reduced about 70%.