Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Transformer Design Considering Fringing Effect for High Frequency Application

Full metadata record
DC Field Value Language
dc.contributor.authorYang, Jong-Uk-
dc.contributor.authorLee, Gi-Young-
dc.contributor.authorKim, Rae-Young-
dc.date.accessioned2023-09-26T06:40:22Z-
dc.date.available2023-09-26T06:40:22Z-
dc.date.issued2023-08-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/68008-
dc.description.abstractThis paper describes the research conducted on the design method of HFT (High Frequency Transformer) in high frequency application. The proposed design method accurately predicts inductance based on magnetic equivalent model considering MPL (Magnetic Path Length) and Fringing effect. Here, the multi-objective optimization technique is applied to optimize the HFT design. The effectiveness of the proposed method is verified through an experiment of a 500W LLC resonant converter. © 2023 The Korean Institute of Power Electronics.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleTransformer Design Considering Fringing Effect for High Frequency Application-
dc.typeArticle-
dc.identifier.doi10.23919/ICPE2023-ECCEAsia54778.2023.10213758-
dc.identifier.scopusid2-s2.0-85170642215-
dc.identifier.bibliographicCitationICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics, pp 323 - 328-
dc.citation.titleICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics-
dc.citation.startPage323-
dc.citation.endPage328-
dc.type.docTypeConference paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthordc-dc converter-
dc.subject.keywordAuthorhigh frequency transformer (HFT)-
dc.subject.keywordAuthorLLC resonant converter-
dc.subject.keywordAuthormagnetic equivalent model-
dc.subject.keywordAuthorshell type transformer-
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 전기공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Gi Young photo

Lee, Gi Young
IT공과대학 (전기공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE