Intelligent Monitoring and Learning System for Electric Vehicle Charging Stations

This research presents an innovative intelligent monitoring and control system engineered specifically for electric vehicle (EV) charging stations utilizing a PIC microcontroller. The primary focus of this study involves ensuring user safety during the EV charging process through real-time supervision of crucial parameters such as voltage, current, and temperature measurements. Customization options are provided, enabling end-users to specify individual preferred maximum current limits. Anomalous situations, such as overvoltage, overcurrent, or extreme temperatures, trigger the system's protective response mechanism, which activates relays accordingly to prevent harm to users and equipment alike. In order to improve responsiveness and situational awareness, this system integrates a Global System for Mobile Communications (GSM) module capable of transmitting instantaneous status updates via text message when irregularities arise at the charging station. Real-time information sharing empowers stakeholders to take swift actions, significantly reducing risk exposure related to adverse working conditions. Technical considerations addressed include judicious component selection, meticulous software craftsmanship, robust communication protocol implementation, sophisticated protection algorithm development, and rigorous performance evaluation. Experimental validation employs a 16F877A PIC microcontroller accompanied by relevant sensor arrays and interface modules. Observed test results confirm rapid identification and appropriate reaction times upon encountering preconfigured limit breaches. Design emphasis on energy efficiency, affordability, and dependable operation across diverse environments underscores commitment towards delivering value beyond mere functionality.