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Paper Abstract and Keywords
Presentation 2024-11-08 13:25
Derivation Method for Voltage Conversion Gain of LLC Converter using Machine Learning
Yasumichi Omoto, Koichi Shigematsu, Jun Imaoka, Masayoshi Yamamoto (Nagoya Univ.) EE2024-14 CPM2024-59 OME2024-26
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a method for predicting voltage conversion gain using combining Fundamental Harmonic Approximation (FHA) and Artificial Neural Network (ANN).
Recently, resonant type DCDC converters, such as LLC and CLLC converters are increasingly being adopted for applications like On-Board Chargers.
Generally, an input-output voltage conversion gain can be calculated quickly using FHA. However, an error against an actual gain becomes larger as the frequency deviates from a serial resonant frequency.
A proposed method using FHA and ANN can reduce an error in the same calculation time as FHA.
Keyword (in Japanese) (See Japanese page) 
(in English) DCDC converter / LLC converter / Fundamental Harmonic Approximation (FHA) / Machine learning / Artificial Neural Network (ANN) / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 239, EE2024-14, pp. 18-23, Nov. 2024.
Paper # EE2024-14 
Date of Issue 2024-11-01 (EE, CPM, OME) 
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 EE2024-14 CPM2024-59 OME2024-26

Conference Information
Committee EE CPM OME  
Conference Date 2024-11-08 - 2024-11-08 
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 2024-11-EE-CPM-OME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Derivation Method for Voltage Conversion Gain of LLC Converter using Machine Learning 
Sub Title (in English)  
Keyword(1) DCDC converter  
Keyword(2) LLC converter  
Keyword(3) Fundamental Harmonic Approximation (FHA)  
Keyword(4) Machine learning  
Keyword(5) Artificial Neural Network (ANN)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yasumichi Omoto  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Koichi Shigematsu  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Jun Imaoka  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Masayoshi Yamamoto  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2024-11-08 13:25:00 
Presentation Time 25 minutes 
Registration for EE 
Paper # EE2024-14, CPM2024-59, OME2024-26 
Volume (vol) vol.124 
Number (no) no.239(EE), no.240(CPM), no.241(OME) 
Page pp.18-23 
#Pages 6 
Date of Issue 2024-11-01 (EE, CPM, OME) 

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