Camera-Based Misalignment Detection and Hardware Validation for EV Wireless Charging Systems

This paper addresses misalignment issues in wireless EV charging, which most of the time results in a non-ideal alignment of the vehicle with the charging pad, thus introducing inefficiencies in power transfer. A careful analysis conducts a detailed study regarding the effects of misalignment on coil voltage, current, and power using a distance-dependent prototype. Real-time positional differences are identified and analyzed using an AI-based alignment correction module implemented with OpenCV, which provides precise measurements of misalignment along the x and y axes. These insights help optimize alignment to enhance system efficiency. Experimental results demonstrate that even small improvements in alignment significantly boost power transfer efficiency, emphasizing the importance of accurate positioning. Validating the potential of the prototype in improving charging efficiency under varying alignment conditions makes the research findings sensible.