Development and Evaluation of an AI-Based Smart Charging System for Electric Vehicles

The rapid adoption of electric vehicles (EVs) necessitates advanced and efficient charging management systems. This paper introduces an AI-based charging system that emphasizes the importance of load management, equitable energy distribution, and the detection of charging anomalies. Designed to provide users with accurate cost forecasts and proactive anomaly detection, our proposed system aims to enhance the EV charging experience. Implemented on the Azure cloud platform, the system's core functionalities have been proven effective. Through a case study conducted in Espírito Santo, Brazil, we demonstrate the capability of our system to improve the EV charging infrastructure. While the potential for integration with smart grid data exists, the primary focus of this work is on the standalone capabilities of the charging system, laying the groundwork for future smart grid integrations.