A Battery Monitoring System based on IoT for Electric Vehicles

Electric vehicles (EVs), which are considered as dynamic electrical energy storage units, are widely used because of their outstanding electrical characteristics and versatility. However, their widespread adoption has a significant adverse effect on the grid and carries the risk of harming their batteries when they become profoundly discharged. EV batteries require a precise state of charge estimation to minimize the lisk of damage, prolong their lifespan, and in order to safeguard the equipment power. Based on simplicity of implementation and reduced overall complexity, this study suggests a real-time Battery Monitoring System (BMS) employing the coulomb method of counting for SOC estimation and MQTT which is messaging-based as an internal communication protocol. Utilizing an ade quate central CPU, interfacing devices, and sensor technology, the proposed BMS is implemented. In order to monitor and regulate the discharging and charging of rechargeable battery packs, which increases the operational efficiency, battery management systems are important in electric vehide technology. Monitoring involves keeping a close eye on the important operating factors including voltage, current, fire, and temperature while charging and draining a battery. This is a hardware-timed sensor system that tracks various variables, like temperature, voltage, and fire and reports them on IOT so you can see exactly when everything has reached the right value.