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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Neural Network for Both Metal Object Detection and Coil Misalignment Prediction in Wireless Power Transfer
| Title: | Neural Network for Both Metal Object Detection and Coil Misalignment Prediction in Wireless Power Transfer |
| Authors: | Gong, Yunyi Browse this author | | Otomo, Yoshitsugu Browse this author | | Igarashi, Hajime Browse this author →KAKEN DB |
| Keywords: | Wireless power transmission | | Object detection | | Neural networks |
| Issue Date: | Sep-2022 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE Transactions on Magnetics |
| Volume: | 58 |
| Issue: | 9 |
| Start Page: | 7201004 |
| Publisher DOI: | 10.1109/TMAG.2022.3176908 |
| Abstract: | This study proposes a method for wireless power transfer systems to identify the existence of foreign metal objects and simultaneously predict the misalignment distance between the primary and secondary coils. The proposed method is based on a neural network (NN) trained using electromagnetic field simulations. The training data for the NN consist of the differential voltages in the detection coils, together with the input voltage of the primary coil. Although the metallic objects and coil misalignment induce confusing voltages, the trained NN exhibits over 90% accuracy for the validation dataset, and mean prediction errors of less than 1 mm for the misalignment distance and ground clearance variance. |
| Rights: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/86618 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 龔 云羿(Gong, Yunyi)
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