Analysis of electric vehicle battery system

Research in the field of Electric Vehicles (EV) is significantly increasing. EV is powered by the battery pack. Therefore, an improvement in the accuracy of the battery model is required. Batteries have several operational challenges, which required a proper Battery Management System (BMS) to achieve optimal performance. This paper provides an analysis of EV batteries and a study on battery management systems in EV applications. This review focuses on many issues, challenges, and problems of Electric Vehicles. This review enhances the development effort of the advance Battery Management system. The purpose of modelling is to detect internal variables such as state of charge (SOC) and internal resistance, calculated based on external variables such as battery voltage, current, and temperature. BMS is responsible for safe operation, performance and quality of life under various charge/discharge, and environmental conditions. When designing a BMS, cell voltage, temperature, state of charge (SOC), state of health (SOH) should be controlled and maintained. Accurate battery models are required for the proper design and operation of battery-powered systems. This paper shows a battery model based on the Simulink and simscape of MATLAB, to build and parameterize the Li-ion battery model. The performance of the battery model is tested in the Urban Dynamometer Driving Schedule (UDDS) cycle. The test results obtained from a Li-ion polymer battery were compared with data provided for the models.