Magnetic structure of Close-coupled inductors to improve the thermal handling capability in interleaved DC-DC converter

Thai Hoang Chuong, Shota Kimura, Daigoro Ebisumoto, Mostafa Noah, Masataka Ishihara, Masayoshi Yamamoto, Jun Imaoka, Wilmar Martinez

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

Abstract

Interleaved DC-DC converter employing closecoupled inductors is a popular topology among other power converters topologies. Close-coupled inductors allow the power converter to achieve high power density and high efficiency. This paper proposes a novel magnetic structure of close-coupled inductors suitable for increasing the thermal handling capability. The proposed magnetic structure is combined of different magnetic materials, namely, ferrite and powder cores. The design method of the integrated close-coupled inductors are presented. Furthermore, this design method is considering the DC bias superposition characteristics, and the iron and copper losses as well. A 300W prototype is built to validate the proposed analysis. Finally, excellent heat dissipation of the proposed magnetic structure of the integrated close-coupled inductors is also reported.

Original languageEnglish
Title of host publication2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages205-210
Number of pages6
ISBN (Electronic)9781509029983
DOIs
Publication statusPublished - Nov 3 2017
Event9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States
Duration: Oct 1 2017Oct 5 2017

Publication series

Name2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume2017-January

Other

Other9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
CountryUnited States
CityCincinnati
Period10/1/1710/5/17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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