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Topology optimization of magnetic cores for WPT using the geometry projection method

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/84941

Title: Topology optimization of magnetic cores for WPT using the geometry projection method
Authors: Otomo, Yoshitsugu Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Geometry projection method
Robust optimization
Topology optimization
Wireless power transfer (WPT)
Issue Date: 14-Apr-2022
Publisher: Emerald Group Publishing
Journal Title: COMPEL : The international journal for computation and mathematics in electrical and electronic
Volume: 41
Issue: 3
Start Page: 889
End Page: 899
Publisher DOI: 10.1108/COMPEL-02-2021-0064
Abstract: Purpose The purpose of this study is to search for an optimal core shape that is robust against misalignment between the transmitting and receiving coils of the wireless power transfer (WPT) device. During the optimization process, the authors maximize the coupling coefficients while minimizing the leakage flux around the coils to ensure the safety of the WPT device. Design/methodology/approach In this study, a novel topology optimization method for WPT devices using the geometry projection method is proposed to optimize the magnetic core shape. This method facilitates the generation of bar-shaped magnetic cores because the material distribution is represented by a set of elementary bars. Findings It is shown that an optimized core shape, which is obtained through topology optimization, effectively increases the net magnetic flux interlinked with the receiving coil and outperforms the conventional core. Originality/value In the previous topology optimization method, the material distribution is represented by a linear combination of Gaussian functions. However, this method does not usually result in bar-shaped cores, which are widely used in WPT. In this study, the authors propose a novel topology optimization method for WPT devices using geometry projection that is used in structural optimization, such as beam and cantilever shapes.
Rights: © 2021, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher
Type: article (author version)
URI: http://hdl.handle.net/2115/84941
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)

Submitter: 大友 佳嗣

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