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Author:

Yuan, Dakang (Yuan, Dakang.) | Zhang, Yiming (Zhang, Yiming.) | Wang, Xuhong (Wang, Xuhong.) | Zhang, Bin (Zhang, Bin.)

Indexed by:

EI Scopus

Abstract:

Silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs) have great advantages in improving the power density and performance of power converters due to the high switching frequency, high operating voltage. However, the increase in switching frequency is also increasingly inflicted the voltage and current stresses to the parasitic elements of the SiC MOSFET, which restricts the device's optimal performance. In addition, many parasitic elements of SiC MOSFET are coupled with each other during the switching process, which makes the analysis complicated and calculation cumbersome. This paper presents an analytical model for SiC MOSFETs, which identifies and selectes the dominant elements and key variations of each stage separately according to the change stages of major variables. The complexity of the model is reduced while the accuracy is guaranteed. Using this model, the voltage and current switching rate of SiC MOSFET can be quickly solved, and the impact mechanism of each critical parameter can also be revealed clearly. A double pulse test circuit composed of a 600V/20A SiC MOSFET is set up and experimental results are obtained to verify the accuracy of the proposed analytical model. © Published under licence by IOP Publishing Ltd.

Keyword:

Analytical models Switching frequency Power control Silicon carbide Semiconducting silicon compounds MOS devices Wide band gap semiconductors Oxide semiconductors Metals Power MOSFET

Author Community:

  • [ 1 ] [Yuan, Dakang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Yiming]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Wang, Xuhong]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhang, Bin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [yuan, dakang]faculty of information technology, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1742-6588

Year: 2021

Issue: 1

Volume: 1754

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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