Performance Evaluation of Electric Vehicle Battery Monitoring System Using IOT

Abstract

High-capacity lithium-ion batteries are commonly used in electric vehicles. In electric vehicles (E.V.s), a Battery Management System (BMS) is a crucial component for controlling and monitoring the health and performance of the battery pack. For the purpose of ensuring safe and effective battery operation, the Battery Management System (BMS) keeps an eye on temperature, voltage, current, and charge level. The battery pack's cell voltages are measured by the voltage sensors, which Arduino can read to detect whether any cells are overcharged or undercharged. The current sensors measure the charging and discharging currents. Based on the current flow over time, Arduino can calculate the state of charge while the temperature sensors monitor the temperature of the battery cells. By using this data, Arduino can implement thermal management to prevent overheating. Algorithms are used to calculate the SOC based on the voltage, current, and temperature readings, which Arduino can implement to keep track of the battery's energy level. Controllers and sensors are used in this suggested system to monitor and assess the performance of an electric vehicle's battery utilizing Internet of Things approaches. The system may identify deteriorating battery performance based on experimental findings and needs to notify the user to take the necessary steps. The framework screens and stores parameters that give a sign of the state of charge, voltage, current, temperature of battery, and charge limit in a continuous situation. The data gathered from all the related battery customers in the framework is examined in a beat transmission control convention/client datagram convention and put together a C server program running with respect to an individual PC to decide significant parameters.