Comprehensive Analysis of Foreign Object Detection Techniques for Safe Electric Vehicle Charging

Authors

  • Abdulaziz Alshammari Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

DOI:

https://doi.org/10.63278/1499

Keywords:

foreign object detection (FOD), wireless power transfer (WPT), electric vehicle, metal object, living object, mechanical.

Abstract

The adoption of electric vehicles (EVs) has grown exponentially in recent years, making EV charging infrastructure an essential aspect of modern transportation. The safety and reliability of EV charging stations are crucial factors for their widespread adoption. Foreign object detection (FOD) technology is critical in detecting and preventing foreign objects from entering charging interface. This can cause damage, safety hazards and downtime of charging station. This research paper presents a comprehensive survey of FOD for EV charging, highlighting various techniques and technologies used for FOD, their advantages, limitations, recent advancements and references from several research papers. The different types of FOD detection, such as mechanical, visual, electrical, thermodynamic and magnetic detection of foreign objects are reviewed in detail. This includes their working principles, performance and suitability for different objects and environments. In addition, impact of various factors on FOD performance, such as temperature, living objects, magnetic fields and electromagnetic interference, is discussed and methods to mitigate their effects are explored. The survey concludes by summarizing all information gathered from various papers for EV charging and highlighting the direction towards which this research is headed for future. The survey provides a valuable reference for researchers, practitioners and policymakers in the field of EV charging infrastructure. The insights obtained from this study can help stakeholders draft better products, policies and optimized solutions for EV charging domain.

Downloads

Published

2025-04-16

How to Cite

Abdulaziz Alshammari. 2025. “Comprehensive Analysis of Foreign Object Detection Techniques for Safe Electric Vehicle Charging ”. Metallurgical and Materials Engineering 31 (4):705-17. https://doi.org/10.63278/1499.

Issue

Vol. 31 No. 4 (2025)

Section

Research

License

Copyright (c) 2025 Abdulaziz Alshammari

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like ResearchGate or Academia), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

Creative Commons License
Except where otherwise noted, the content on this site is licensed under a Creative Commons Attribution 4.0 International License.