Analysis and reduction method of conducted noise in GaN HEMTs based totem-pole bridgeless PFC converter

Baihua Zhang, Qiang Lin, Yushi Shimada, Jun Imaoka, Masahito Shoyama, Satoshi Tomioka

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

4 Citations (Scopus)

Abstract

Totem-pole bridgeless PFC converter is proposed to pursuit better efficiency as it reduces the loss added by the diode bridge. However, the conducted noise performance of totem-pole bridgeless PFC converter is unsatisfactory as the spike current occurs at input voltage zero-crossing and causes severe common mode noise. In this paper, the noise mechanism at zero-crossing of the converter is discussed and a noise reduction method is proposed. Finally, the experiments have been achieved under the condition: 230V ac input, 390V dc output and 50kHz switching frequency, and the effectiveness of the proposed noise reduction method is verified.

Original languageEnglish
Title of host publication2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-278
Number of pages5
ISBN (Electronic)9781509012107
DOIs
Publication statusPublished - Jul 13 2016
Event8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China
Duration: May 22 2016May 26 2016

Publication series

Name2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Other

Other8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
CountryChina
CityHefei
Period5/22/165/26/16

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization

Fingerprint Dive into the research topics of 'Analysis and reduction method of conducted noise in GaN HEMTs based totem-pole bridgeless PFC converter'. Together they form a unique fingerprint.

Cite this