State of Charge Estimation of Electric Vehicle Battery

The state of charge (SOC) of the Lithium Ion Batteries (LIBs) is a core parameter in the implementation and development of batteries management systems which requires the accurate measurement of the battery capacity which is used in the development of EVs, and thus is becoming a very critical issue. Only with the accurate measurement of the SOC using various equations and parameters, it is possible to manage the battery energy effectively to prevent it from risks resulting from over-charging and over-discharging. It can also provide the necessary data and form a basis for other energy related system requirements as well. In the process of the SOC value estimation, we must consider the impact of various factors in the LIBs’ working process like Cell Ageing, Cell Imbalance etc., using various reasonable equivalent circuit model of the LIBs. Appropriate estimation algorithms are used to measure and improve the accuracy of SOC estimation. The batteries and battery management systems (BMS) are the key components of EVs. The SOC value, which marks the remaining capacity or power in the batteries, is also the core parameter of the BMS. It is a reflection of the operational status of the main feature, providing basis for the vehicle control strategy judgment and management. And the accurate estimation and management of SOC can improve the battery state of life (SOL) and the vehicle or application performance. The indication of SOC is often referred to as an estimate rather than a measurement or determination as there is no single correct process to be employed. And also, it is not yet possible to determine the SOC one-hundred percent accurately. In this method, real time battery used for calibration of SOC estimation using Arduino UNO controller. Also we will analyze the performance of battery with simulation of Arduino controller with MATLAB simulink model. ANN model will be design in MATLAB simulink for identification of exact SOC of battery.