Regression Model for State of Charge Estimation of Lithium Ion Batteries in Electric Vehicle

Electric vehicle (EV) batteries are essential to increasing the effectiveness and affordability of EVs. To optimize battery usage and improve performance and longevity, it is essential to establish the relationship between the chemical behavior and physical factors that affect battery performance. In this study, statistical techniques are employed to identify the dynamic parameters, namely current, voltage, state of charge, temperature, ambient temperature, etc.,that influences the target variable, state of chargeThe battery's performance and efficiency are greatly influenced by the target variable, so improving it is essential to lengthening the battery's useful life. The results of this paper dive into the factors affecting EV battery usage, which can inform the development of strategies for optimizing battery performance and increasing the longevity of EV batteries.