Simulation based Single cell and Multi Cell Monitoring Management with SOC & SOH Control for Continuous working of Electric Vehicle/ Grid Connected System

Abstract

Abstract Electric vehicles (EVs) and smart grids are two examples of high-power applications that frequently use lithium-ion pack and a battery management system (BMS). Battery status estimation, defect detection, monitoring, and control functions are required for BMS implementations, which require both software and hardware. Predicting battery life aids in the consistent and efficient operation of battery-powered equipment. The proposed method uses Portable and continuous monitoring of the battery life to prevent from sudden discharge, High temperature with frequent charging and discharging system. Voltage, current, and temperature sensors are used to detect the voltage, current, and temperature of the cells. The controller receives the data from each sensor connected at different node gives the update continuously to the monitor. Similarly, the controller prevents the battery from over discharge and under discharge of each cell. Apart from regular monitoring and controlling of each cell, a novel method is proposed in the existing circuit for partial or full charging during idling condition. Monitoring the battery state continuously allows for balanced charging of the battery cells and overcharge prevention. The suggested concept includes a Graphical User Interface (GUI), a method for training a model, and test results for the BMS.