State of Charge Estimation System for Electric Vehicle Batteries using ANN

Batteries especially lithium-ion are better choice as an energy storage option in electric vehicles due to its features as long life, low self-discharge, and economical. To ensure the reliable and better operational efficiency of battery-powered electric vehicles, an accurate assessment of the state-of-charge (SoC) is essential. So the proposed model has a coulomb counting method model and neural network model through which the SoC is estimated and compared. The traditional way of the SoC estimation that is the coulomb counting method gives the SoC having errors as compared to the neural network method. After comparing the results obtained we can clearly derive that neural network model gives fewer errors. Traditional method coulomb counting method is having more errors than the neural network model.