Wireless Charging System & User Identification using AI for Electric Vehicle

Author(s)	Mr. Vallabh Mallikarjun Dyavarkonda, Mr. Yash Anil Mainkar, Mr. Ganesh Sadanand Dasari, Mr. Swapnil Balasaheb Lomate, Prof. Dr. Prashant Kedarnath Magadum
Country	India
Abstract	The project “Wireless Charging System & User Identification using AI for Electric Vehicle” presents a two-slot automated wireless EV charging system. The system uses Arduino Nano, RFID, IR sensors, servo motors, relay modules, wireless charging coils, and LCD displays. RFID provides user authentication, while IR sensors detect vehicle entry, charging position, and exit. After successful authentication and positioning, wireless charging is activated automatically. The system displays charging progress from 5% to 100% and monitors both charging slots. The proposed system provides a secure, convenient, and automated approach to EV charging, with future scope for AI-based load management and charging optimization.
Keywords	Electric Vehicle (EV), Wireless Power Transfer (WPT), Wireless EV Charging, RFID Authentication, Arduino Nano, MFRC522, IR Sensors, Servo Motor, Relay Module, Smart Charging, Artificial Intelligence (AI), User Identification, Automated Charging, Charging Slot Management, AI-Assisted Energy Management.
Field	Engineering
Published In	Volume 8, Issue 5, September-October 2026
Published On	2026-10-08
DOI	https://doi.org/10.36948/ijfmr.2026.v08i05.89300

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