Battery Monitoring System for Electric Vehicles

The selection of the battery system has a significant impact on the state of electric vehicle (EV) technology. To access a battery's functional utilization, its capacity and the method utilized to determine its operating time is to be known. Based on load requirements, cell voltage, current, temperature readings, as well as anticipated battery state of charge, capacity, and impedance, battery monitoring system decides how efficiently to charge and discharge batteries. In this paper, a battery monitoring system is proposed to continuously track performance in comparison to the estimated battery capacity. This study suggests using the Raspberry Pi-Pico, a processor that can explore computation and access programming through interfaces, to implement a battery monitoring system. It can be combined with the framework for monitoring data, which can manage, watch, and log the data into an online database and send to user that can be monitored through the display (or android app).