Modeling and Prediction of Common-Mode Conducted Noise in Boost Converter with Terminal Port Theory

Shuaitao Zhang, Baihua Zhang, Masahito Shoyama

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

2 Citations (Scopus)

Abstract

This paper presents a common-mode conducted modeling method with terminal port theory and applied it to boost converter. With no need to measure and analyze the voltage between MOSFET switch directly, this method can obtain the equivalent noise source accurately by utilizing the common-mode current. Then an equivalent common mode model is proposed based on the boost converter according to the features of its noise propagation loop. The accuracy of impedance measurement has also been improved by utilizing interpolation method. In order to examine the validity and robustness of this model, several kinds of filter circuits have been employed and the prediction results show conformability with the experimental results.

Original languageEnglish
Title of host publicationICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2211-2216
Number of pages6
ISBN (Electronic)9788957083130
Publication statusPublished - May 2019
Event10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, Korea, Republic of
Duration: May 27 2019May 30 2019

Publication series

NameICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

Conference

Conference10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
Country/TerritoryKorea, Republic of
CityBusan
Period5/27/195/30/19

All Science Journal Classification (ASJC) codes

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

Fingerprint

Dive into the research topics of 'Modeling and Prediction of Common-Mode Conducted Noise in Boost Converter with Terminal Port Theory'. Together they form a unique fingerprint.

Cite this