Experimental Evaluation of EMI and Efficiency in a Hybrid T-Type Wide-Bandgap Converter

This work presents an experimental study of a hybrid T-type converter using wide-bandgap (WBG) devices, combining the low switching losses of gallium nitride (GaN) with the high-voltage capability of silicon carbide (SiC). Furthermore, an adaptive level-shift algorithm is introduced, enabling operation in both two- and three-level modes, improving fault tolerance and current capability. Experimental validation demonstrates high efficiency, minimal EMI impact at high switching frequencies, and improved THD, confirming the converter as a robust solution for high-performance applications.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-17
DOI
https://doi.org/10.5281/zenodo.17963133
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

Experimental Evaluation of EMI and Efficiency in a Hybrid T-Type Wide-Bandgap Converter

Zenodo (CERN European Organization for Nuclear Research)
Silicon Carbide Semiconductor Technologies
article

Experimental Evaluation of EMI and Efficiency in a Hybrid T-Type Wide-Bandgap Converter

article en

Abstract

This work presents an experimental study of a hybrid T-type converter using wide-bandgap (WBG) devices, combining the low switching losses of gallium nitride (GaN) with the high-voltage capability of silicon carbide (SiC). Furthermore, an adaptive level-shift algorithm is introduced, enabling operation in both two- and three-level modes, improving fault tolerance and current capability. Experimental validation demonstrates high efficiency, minimal EMI impact at high switching frequencies, and improved THD, confirming the converter as a robust solution for high-performance applications.

Zenodo (CERN European Organization for Nuclear Research)
Universitat Politècnica de Catalunya (ES)
Affordable and clean energy
Openalex Percentile: Top 44%
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.