Basic study on sensorless metal object detection in wireless power transfer system using neural network

カテゴリ: 研究会(論文単位)

論文No: SA20040,RM20064

グループ名: 【B】電力・エネルギー部門 静止器/【D】産業応用部門 回転機合同研究会

発行日: 2020/09/03

タイトル(英語): Basic study on sensorless metal object detection in wireless power transfer system using neural network

著者名: Gong Yunyi(北海道大学),大友 佳嗣(北海道大学),五十嵐 一(北海道大学)

著者名(英語): Yunyi Gong(Hokkaido University),Yoshitsugu Otomo(Hokkaido University),Hajime Igarashi(Hokkaido University)

キーワード: wireless power transfer|metal object detection|neural network

要約(日本語): A simple detection method of foreign metallic objects without additional sensors and equipment is proposed for safety improvement of wireless power transfer. In the proposed method, the existence of metallic objects is inferred from the change in the locu

要約(英語): A simple detection method of foreign metallic objects without additional sensors and equipment is proposed for safety improvement of wireless power transfer. In the proposed method, the existence of metallic objects is inferred from the change in the locus of the input impedance using neural network. The accuracy of the proposed method is verified based on field computations.

原稿種別: 英語

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