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Class-D Amplifier-Based Core Loss Measurements for High Frequency Magnetic Materials

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Magnetic core loss measurement methods suitable for high-frequency sinusoidal excitations are currently time intensive or inherently suffer from flux drive limitations due to the costly and ill-suited radio frequency (RF) equipment utilized in the measurement. The recent development of automated testers has enabled the collection of large core loss data sets across a broad range of operating frequencies and flux densities. Improper loading of the RF power amplifiers utilized in these measurements makes the collection of accurate core loss data impractical above certain drive levels. In this paper, we develop and demonstrate an automatable core loss testing method which replaces the commonly employed RF power amplifier with a high frequency switching inverter. An analytical framework for assessing flux harmonics in the core is also presented. An experimental demonstration is perforned in the range of 1-7MHz for the following materials: (1) Fair-Rite 67, (2) Fair-Rite 80, and (3) Proterial ML91S.

Original languageEnglish (US)
Title of host publication2024 IEEE 25th Workshop on Control and Modeling for Power Electronics, COMPEL 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350307238
DOIs
StatePublished - 2024
Event25th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2024 - Lahore, Pakistan
Duration: Jun 24 2024 → Jun 27 2024

Publication series

Name2024 IEEE 25th Workshop on Control and Modeling for Power Electronics, COMPEL 2024

Conference

Conference25th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2024
Country/TerritoryPakistan
CityLahore
Period6/24/24 → 6/27/24

Keywords

  • Automation
  • core loss measurement
  • ferrite
  • high frequency (HF)
  • magnetic loss
  • power magnetics

ASJC Scopus subject areas

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

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