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Analysis of Efficiency Improvements Achievable with Active Gate Drivers for SiC MOSFETs Using a Common Switching-Loss Figure of Merit

Titelangaben

Frank, Michael:
Analysis of Efficiency Improvements Achievable with Active Gate Drivers for SiC MOSFETs Using a Common Switching-Loss Figure of Merit.
2025
Veranstaltung: ECCE Europe 2025 , 31.08.25-04.09.2025 , Birmingham.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Abstract

Numerous Active Gate Driver (AGD) topologies have been reported in the literature. As each option addresses a different application space, designers often struggle to select the most appropriate solution. This paper therefore introduces an Active Gate Driver Figure of Merit (AGD-FOM) that quantifies the switching-loss reduction achievable over the full driving cycle of an electric vehicle, thereby enabling a systematic comparison of competing AGDs. The AGD-FOM is evaluated for several SiC MOSFET AGD concepts using both measured and intrinsic channel switching-loss data. The study shows that even comparatively simple AGDs can already harvest a large share of the theoretically attainable switching-loss reduction, especially at turn-off. Moreover, the results underline that intrinsic channel switching losses must be considered to obtain a fair and meaningful assessment of AGD performance.
Index Terms—Active Gate Driver, SiC MOSFET, Power Converters
for EV, Driver concepts, Switching losses, Control Strategy

Weitere Angaben

Publikationsform: Veranstaltungsbeitrag (Paper)
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik > Lehrstuhl Mechatronik - Univ.-Prof. Dr.-Ing. Mark-M. Bakran
Profilfelder > Advanced Fields > Neue Materialien
Profilfelder > Emerging Fields > Energieforschung und Energietechnologie
Forschungseinrichtungen > Forschungsstellen > Zentrum für Energietechnik - ZET
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 01 Dec 2025 14:39
Letzte Änderung: 01 Dec 2025 14:39
URI: https://eref.uni-bayreuth.de/id/eprint/95358