ENHANCING ELECTRIC VEHICLE WIRELESS CHARGING SAFETY: A COMPREHENSIVE REVIEW OF COMPUTER VISION TECHNIQUES FOR FOREIGN OBJECT DETECTION ABSTRACT

Abstract

The integration of electric vehicles (EVs) into the urban landscape is a pivotal step towards sustainable transportation. Wireless charging technology for EVs represents a significant advancement, offering a seamless and user-friendly charging solution that eliminates the need for physical cables or connectors. This technology, utilizing inductive and resonant charging methods, enables the transfer of energy across an air gap, enhancing the convenience and adoption potential of electric vehicles. However, the safety and efficiency of wireless charging are contingent upon effective foreign object detection (FOD) systems. These systems are crucial for identifying and mitigating the risks associated with the presence of foreign objects in the charging area, which can lead to energy loss, potential hazards, and reduced charging efficiency. This paper provides a comprehensive review of the current state of wireless charging technology for EVs, with a focus on the importance of FOD and the application of computer vision techniques in enhancing detection capabilities. Through an exploration of various computer vision methods and their practical applications in wireless charging, the paper highlights the ongoing challenges and future research directions in this field. The advancement of wireless charging technology, coupled with robust FOD systems, is essential for the widespread adoption of EVs, contributing to the evolution of smart, sustainable urban transportation.