An Accurate Crosstalk Evaluation and Prediction Method for SiC MOSFET Considering Nonlinear Capacitance and Stray Parameters
ID:147 View Protection:PUBLIC Updated Time:2021-08-22 18:34:08 Hits:1464 Poster Presentation

Start Time:Pending(Asia/Shanghai)

Duration:Pending

Session:No Session »

Abstract
In high-frequency applications of SiC MOSFET, crosstalk restricts the switching speed, increases additional switching losses and reduces the system stability. This paper proposes an accurate crosstalk evaluation and prediction method for SiC MOSFET, which considers nonlinear capacitance and stray parameters. The proposed method is a programmed prediction and evaluation process, including analysis of stray parameters, nonlinear capacitance analysis and measurement of nonlinear transfer capacitance. First, the influence of drain-to-gate stray capacitance Cdg’ caused by PCB layout and probes on crosstalk peak voltage is analyzed in details for the first time. Second, detailed analysis and explanation are made to reveal the disadvantages and inaccuracy of the traditional method which regards the reverse transfer capacitance as a constant. The simulation results show that the error of crosstalk peak voltage under different transfer capacitance values is very large. In addition, the influence of drain-source capacitance is also studied deeply. Third, this paper considers another challenging problem, the accurate measurement of nonlinear reverse transfer capacitance and propose a practical transfer capacitance big-signal measurement method for SiC MOSFETs based on dynamic transient, which can overcome the shortcomings of the frequency measurement method of small signal and shows high-performance and easy-operation. Finally, the performance of this proposed crosstalk evaluation and prediction method is verified and compared experimentally by a double-pulse test (DPT) platform.
 
Keywords
Speaker
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Aug 25

    2021

    to

    Aug 27

    2021

  • Apr 21 2021

    Abstract Submission Deadline

  • May 15 2021

    Abstract Notification of Acceptance

  • Jun 25 2021

    Final Paper Deadline

  • Aug 24 2021

    Contribution Submission Deadline

  • Aug 27 2021

    Registration deadline

Sponsored By
IEEE
IEEE ELECTRONIC DEVICE SOCIETY
Organized By
Huazhong University of Science and Technology