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May 8, 2026IET conference proceedings.0 citations

An active gate driver with adjustable gate current for SiC MOSFET switching performance optimization

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GBGaoyang BaiYCYumeng CaiPSPeng Sun

Key Points

  • This research aims to improve the switching performance of SiC MOSFETs by addressing current and voltage overshoot issues.
  • Established a model of the switching process of SiC MOSFETs to analyze overshoot and oscillation mechanisms.
  • Proposed an active gate driver with closed-loop feedback to adjust gate current based on drain current and voltage slopes.
  • Conducted simulation to compare the proposed AGD with traditional gate drive methods.
  • The AGD significantly optimizes the switching trajectory of SiC MOSFETs.
  • Transient overshoot was reduced effectively compared to traditional methods.
  • High-frequency oscillations were notably mitigated, leading to improved device reliability.

Abstract

Silicon Carbide (SiC) MOSFETs are prone to current/voltage overshoot and high-frequency oscillation under high-speed switching conditions, which increases the stress of device and limits the efficiency and reliability of power converters. To address these issues, this paper begins by establishing a stage-specific model of the switching process of SiC MOSFETs, and analyses the generation mechanism of overshoot and oscillation as well as the influence of driving parameters. Based on this analysis, an active gate driver (AGD) with closed-loop feedback control of the gate current is proposed. By detecting the slopes of drain current (did/dt) and the drain-source voltage (dvds/dt), the AGD adaptively engages a shunt or a current injection circuit to dynamically change the gate current, thereby to realise the precise suppression of the current/voltage overshoots and high-frequency oscillations. Simulation results demonstrate that compared with the traditional gate drive method, the proposed AGD effectively optimizes the switching trajectory of SiC MOSFETs and significantly mitigates transient overshoot and high-frequency oscillations.

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Cite This Study

Bai et al. (2026) studied this question.

synapsesocial.com/papers/69fd8021bfa21ec5bbf08872https://doi.org/10.1049/icp.2026.0727
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