A Simplified Dc-Bias Injection Method with Mirror Transformer for Magnetic Material Characterization

Shukai Wang, Diego Serrano, Haoran Li, Annie Lin, Thomas Guillod, Min Luo, Charles R. Sullivan, Minjie Chen

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

5 Scopus citations

Abstract

This paper presents a simplified dc-bias injection circuit using a mirror transformer as a part of an automated data acquisition system for the characterization of soft magnetic materials for power electronics applications. Modified from the existing three-winding method for minimizing the reflected voltage on the dc-bias injection circuitry, the proposed two-winding method offers improved accuracy with reduced equipment complexity and capability. It enables rapid and fully automated material characterization across wide frequency, flux density, excitation waveform, temperature, and dc-bias ranges.

Original languageEnglish (US)
Title of host publicationAPEC 2023 - 38th Annual IEEE Applied Power Electronics Conference and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1565-1571
Number of pages7
ISBN (Electronic)9781665475396
DOIs
StatePublished - 2023
Event38th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2023 - Orlando, United States
Duration: Mar 19 2023Mar 23 2023

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
Volume2023-March

Conference

Conference38th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2023
Country/TerritoryUnited States
CityOrlando
Period3/19/233/23/23

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • core loss
  • dc-bias
  • hysteresis loop
  • power magnetics
  • soft magnetic materials

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