Thermal Management of GaN Power Modules Using Copper Core PCBs with Direct Heatsink Pads
Bibliographic record
Abstract
With the adoption of wide-bandgap (WBG) semiconductor devices in high power density applications, the thermal dissipation of this type of power modules has become a major challenge. In the power conversion applications with Gallium Nitride (GaN) high electron mobility transistors (HEMTs), the switching frequency is normally a few times higher than those using similar rated silicon devices. The increase in frequency can reduce the system's physical size and achieve a more compact design. However, the compactness of the module poses greater challenges on system's thermal design as the effective area for heat dissipation is reduced. A GaN based, buck converter module using copper core PCB with direct heatsink pad is designed and tested to demonstrate one possible methods of mitigating this issue. This module integrates input and output capacitors, four GaN transistors, four gate drivers and a coupled inductor to construct a two-phase buck converter that converts 12 to 5 V or 3.3 V. When operated at 500 kHz for a 12 to 5 V conversion with forced air cooling and additional heatsinks, this module can achieve a peak efficiency of 92.5% at 25 W of output power. It can deliver a maximum power of 176 W while maintaining the temperature of the GaN transistors to be below 90°C. At this maximum power, the power density is calculated to be 9.8 kW/L.
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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".