Skip to main navigation Skip to search Skip to main content

A Simplified SiC MOSFET Model for an Abstract View of the Switching Performance

  • Puzhen Yu
  • , Bing Ji*
  • , Wenping Cao
  • , Liang Yan
  • *Corresponding author for this work
  • University of Leicester

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Power semiconductors are a crucial component and a key driver of power electronics. Device modelling is an essential approach to formulating and analyzing the static and dynamic characteristics of power semiconductors. This paper proposes a simplified analytical model for a SiC MOSFET and Schottky barrier diode in a half-bridge configuration. This simplified model is shown to have better interpretability and computational speed, by comparing it with two other commonly used analytical models for benchmarking purpose at different operating points and parasitic inductance. Finally, the intended use case and limitations are discussed.

Original languageEnglish
Title of host publicationProceedings - 2024 International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-87
Number of pages5
ISBN (Electronic)9798350355772
DOIs
StatePublished - 2024
Externally publishedYes
Event4th International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2024 - Leicester, United Kingdom
Duration: 28 Aug 202430 Aug 2024

Publication series

NameProceedings - 2024 International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2024

Conference

Conference4th International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2024
Country/TerritoryUnited Kingdom
CityLeicester
Period28/08/2430/08/24

Keywords

  • SiC MOSFETs
  • analytical model
  • double pulse test
  • switching waveform

Fingerprint

Dive into the research topics of 'A Simplified SiC MOSFET Model for an Abstract View of the Switching Performance'. Together they form a unique fingerprint.

Cite this