An Accurate Crosstalk Evaluation and Prediction Method for SiC MOSFET Considering Nonlinear Capacitance and Stray Parameters
编号:147 访问权限:公开 更新:2021-08-22 18:34:08 浏览:545次 张贴报告

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摘要
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.
 
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重要日期
  • 会议日期

    08月25日

    2021

    08月27日

    2021

  • 04月21日 2021

    摘要截稿日期

  • 05月15日 2021

    摘要录用通知日期

  • 06月25日 2021

    终稿截稿日期

  • 08月24日 2021

    报告提交截止日期

  • 08月27日 2021

    注册截止日期

主办单位
IEEE
IEEE ELECTRONIC DEVICE SOCIETY
承办单位
Huazhong University of Science and Technology
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