State of Charge Estimation for EV Batteries Using Support Vector Regression

Accurate and robust state of charge (SOC) estimation for electric vehicle (EV) batteries is an essential key for the advancement of EVs. A battery SOC is highly affected by the driving behavior, ambient temperature, and cell age. This paper proposes a classical machine learning SOC estimation method based on Support Vector Regression (SVR). The model uses experimental testing data for a Lithium-NCA battery under various temperatures and drive …