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Paper Abstract and Keywords
Presentation 2024-03-11 09:15
Design Method for Load-Independent WPT Systems Using Machine Learning
Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning.
In the proposed design, machine learning is employed to determine the component values in the circuit model considering the parasitic components.
This paper also presents an evaluation function for designing the WPT system with the class-EF inverter to achieve load-independent operation.
Optimization results reveal that, solutions achieving higher precision output voltage regulation and efficiency compared to analytical load-independent designs are found.
The load-independent WPT system designed using the proposed method demonstrates a close correlation between experimental waveforms and those derived from numerical computations, thereby confirming the validity of the design approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Class-EF inverter / particle swarm optimization / machine learning, load independence / load-independent / wireless power transfer / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 420, EE2023-58, pp. 6-11, March 2024.
Paper # EE2023-58 
Date of Issue 2024-03-04 (EE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EE2023-58

Conference Information
Committee EE  
Conference Date 2024-03-11 - 2024-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EE 
Conference Code 2024-03-EE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design Method for Load-Independent WPT Systems Using Machine Learning 
Sub Title (in English)  
Keyword(1) Class-EF inverter  
Keyword(2) particle swarm optimization  
Keyword(3) machine learning, load independence  
Keyword(4) load-independent  
Keyword(5) wireless power transfer  
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Keyword(7)  
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1st Author's Name Naoki Fukuda  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Yutaro Komiyama  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Wenqi Zhu  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Yinchen Xie  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Ayano Komanaka  
5th Author's Affiliation Chiba University (Chiba Univ.)
6th Author's Name Akihiro Konishi  
6th Author's Affiliation Chiba University (Chiba Univ.)
7th Author's Name Kien Nguyen  
7th Author's Affiliation Chiba University (Chiba Univ.)
8th Author's Name Hiroo Sekiya  
8th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2024-03-11 09:15:00 
Presentation Time 25 minutes 
Registration for EE 
Paper # EE2023-58 
Volume (vol) vol.123 
Number (no) no.420 
Page pp.6-11 
#Pages 6 
Date of Issue 2024-03-04 (EE) 

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