AI-Improved Battery-Powered Automobile Battery Diagnostics

The charging and discharging functions of electric car batteries make them the most significant component of these vehicles. They provide the power that turns the engine of the vehicle. Without batteries, an electric car would not be able to move. If the batteries aren't working correctly, the car won't go smoothly. The battery system is impacted by changes in current and voltage. Therefore, we are unable to forecast the precise measurement of voltage and current. This paper's overarching goal is to monitor and enhance BEMS (battery energy management system) efficiency through the application of IoT and AI. The paper also intends to look into ways to manage electric car batteries better. The technology makes use of lithium-ion batteries, which have a higher energy density than more traditional battery types. Battery State of Health (SOH) and State of Charge (SOC) predictions can be much improved with the help of AI-Powered Cloud Services, as electric car batteries are quite expensive. The goal of this upgrade is to make it more long-lasting and economical. Adapting to changing battery health conditions caused by operational situations is possible with an AI-driven system located on the cloud. The battery management system is then able to make better management decisions over time thanks to the updated information it receives from it.