New Perspectives in Artificial Intelligence-Based Object Detection for Wireless Power Transfer Systems

This paper proposes a possible approach for object detection in Wireless Power Transfer (WPT) systems using artificial intelligence techniques. The main objective is to identify the presence of foreign objects between the primary and secondary windings by processing voltage and current measurements....

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Bibliographic Details
Main Authors: Intravaia, Matteo, Lozito, Gabriele Maria, Villagrasa, Eliseo, Corti, Fabio, Reatti, Alberto, Trivino, Alicia
Format: Conference Proceeding
Language:English
Subjects:
Classification Trees
Coils
Feed Forward Neural Network
Foreign Object Detection
Machine Learning
Support Vector Machine
Support vector machines
Voltage measurement
Windings
Wireless communication
Wireless power transfer
Wireless sensor networks
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Summary:This paper proposes a possible approach for object detection in Wireless Power Transfer (WPT) systems using artificial intelligence techniques. The main objective is to identify the presence of foreign objects between the primary and secondary windings by processing voltage and current measurements. To achieve this goal, different machine learning methods are proposed and compared. One of the essential features of the proposed method is to avoid the use of additional differential voltage coils, whose effectiveness is affected by the misalignment between primary and secondary coils. Therefore, this work proposes a theoretical approach for identifying foreign metallic objects without additional sensors, sensing coils or expensive equipment.
ISSN:2158-8481
DOI:10.1109/MELECON56669.2024.10608776