High Frequency Transformers with Adjustable Leakage Inductance using Wire Guides

Ryohei Shintai, Koji Orikawa, Satoshi Ogasawara, Masatsugu Takemoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High frequency transformers are used for isolated power converters such as LLC resonant converters since a leakage inductance of the transformer can be utilized as a part of a resonant inductance in addition to electrical isolation. In order to perform ZVS, the leakage inductance of a transformer is designed so that the current phase flowing in switching devices and Q factor of the resonant circuit are appropriate values. However, it is usually difficult to fabricate properly windings, while managing the leakage inductance precisely. In addition, it is necessary to suppress the stray capacitance which flows leading phase current to switching devices. This paper proposes a high frequency transformer with an adjustable leakage inductance and stray capacitance by only changing the thickness and height of the wire guides.

Original languageEnglish
Title of host publication23rd International Conference on Electrical Machines and Systems, ICEMS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1547-1552
Number of pages6
ISBN (Electronic)9784886864192
DOIs
Publication statusPublished - Nov 24 2020
Event23rd International Conference on Electrical Machines and Systems, ICEMS 2020 - Hamamatsu, Japan
Duration: Nov 24 2020Nov 27 2020

Publication series

Name23rd International Conference on Electrical Machines and Systems, ICEMS 2020

Conference

Conference23rd International Conference on Electrical Machines and Systems, ICEMS 2020
CountryJapan
CityHamamatsu
Period11/24/2011/27/20

Keywords

  • High frequency transformer
  • Leakage inductance
  • Stray capacitance
  • Wire guides

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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