Ai-based Intelligent Battery Management System for Electric Vehicle

A good battery gives an electric vehicle the power to traverse long distances without any tension. But when upgraded with next-gen technology such as IoT and AI, the entire system is bound to become even more enhanced. Battery management system (BMS) forms a crucial system component in various applications like electric vehicles (EV), hybrid electric vehicles (HEV), uninterrupted power supplies (UPS), telecommunications, and so on. One of BMS’s critical tasks consists of inferring battery's internal state from external measurements. Such state includes State of Charge (SoC) (remaining energy) and State of Health (SoH) (capacity performance of the current cell compared to its original condition). The accuracy of these systems has always been a point of discussion as they generally give an error of maximum 10% considering all the parameters together. Batteries are the heart of the automation system, and its applications are more in all the fields where the electrical supply requires. The periodical monitoring/observations are required for battery source to provide continuous power to the load without any interruption. Our proposed system monitors and stores parameters that provide an indication of the lead-acid battery’s acid level, state of charge, voltage, current, and the remaining charge capacity in a real-time scenario. The information collected from all the associated battery clients in the system is analyzed. The malfunctions of the battery status are continuously monitored based on sudden charge and discharge voltage of the battery bank, which are predicted using artificial intelligence, and battery conditions are viewed and altered in the cloud with the help of an IoT module.