A Dynamic Gate Driver with Auto-Patterning to Reduce Ringing and Switching Loss
Bibliographic record
Abstract
Parasitics in the gate loop can cause undesirable ringing oscillation for SiC power MOSFETs. Normally, ringing can be suppressed by adding a fixed gate resistor <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(R_{G}\right)$</tex> to slow down the switching transient by limiting the gate current (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$I_{G}$</tex>). However, a large <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol{R}_{\boldsymbol{G}}$</tex> will increase the turn-on or turn-off times and the switching loss. Dynamic gate driving is implemented to mitigate this issue by adjusting <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R_{G}$</tex> during different phases of the gate transient. The optimal timing (topt) was traditionally determined through a trial-and-error procedure. In this paper, we proposed a practical dynamic gate driver IC that can automatically identify the appropriate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R_{G}$</tex> driving pattern to achieve fast switching, low ringing, and improved efficiency. The end of the Miller plateau is detected as the point to adjust the gate driving strength <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\left(R_{G}\right)$</tex>. An internal switched capacitor filter is designed to sense the end of the Miller plateau by monitoring the gate node (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$V_{\text {Gate }}$</tex>). This timing with respect to the PWM input signal, topt, is used to generate a new gate driving pattern for the next switching cycle. Tests were conducted using a double pulse test (DPT) for varying IDS conditions. A value of 507 ns for <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$t_{O P T}$</tex> is obtained for <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$I_{D S}=3 \mathrm{A}, V_{D S}=15 \mathrm{V}$</tex>, and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$V_{\text {Drive }}=$</tex> 15 V. Applying topt to the gate driving pattern on the following DPT cycle, ringing undershoot on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$V_{\text {Gate }}$</tex>, switching speed, and switching loss are improved by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$59 \%, 74 \%$</tex>, and 57 %, respectively, when compared to the fixed large <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R_{G}$</tex> method.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".