ANN approach to SOC estimation of Lithium-Ion Battery

State-of-charge, or SOC, is an electric vehicle's battery pack's analogue of a gasoline gauge. It becomes crucial to ascertain the status of charge in all battery applications, including electric cars (EVs). This paper's goal is to use an artificial neural network (ANN) to estimate the state of charge (SOC) of a high capacity lithium-ion battery (LIB). This is necessary since SOC cannot be measured directly; instead, it must be calculated using measurable battery metrics like temperature, voltage, and current. It is possible to obtain an accurate predictive model that can predict the SOC in the near future. The simulated data set and the ANN model agreed, indicating the model's strong performance.