4-Switch GaN Converter Based Set-Up for High Frequency Magnetics' Characterization

This paper describes a hardware implementation of a 4-switch GaN converter set-up for characterization of high-frequency magnetic cores. The selected converter topology represents a versatile measurement solution for characterizing magnetic cores under both pure ac and ac + dc excitations. The set-up features duty cycle and dead-time control, which allows testing with various types of rectangular waveforms typical of power electronics. The proposed power stage allows core loss tests up to the MHz range. The performance of the set-up is demonstrated through experiments conducted on a Mn-Zn ferrite core with three types of rectangular ac excitation.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/optim-acemp62776.2025.11075251
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

4-Switch GaN Converter Based Set-Up for High Frequency Magnetics' Characterization

Teodora Plamenova Todorova
Silicon Carbide Semiconductor Technologies
article

4-Switch GaN Converter Based Set-Up for High Frequency Magnetics' Characterization

Teodora Plamenova Todorova
article en

Abstract

This paper describes a hardware implementation of a 4-switch GaN converter set-up for characterization of high-frequency magnetic cores. The selected converter topology represents a versatile measurement solution for characterizing magnetic cores under both pure ac and ac + dc excitations. The set-up features duty cycle and dead-time control, which allows testing with various types of rectangular waveforms typical of power electronics. The proposed power stage allows core loss tests up to the MHz range. The performance of the set-up is demonstrated through experiments conducted on a Mn-Zn ferrite core with three types of rectangular ac excitation.

Technical University of Sofia (BG)
Affordable and clean energy
Openalex Percentile: Top 85%
Silicon Carbide Semiconductor Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.