Comprehensive Study and Performance Evaluation of an Interleaved GaN-Based PFC With Magnetic Component Size Reduction
Bibliographic record
Abstract
Power factor correction (PFC) converters can be significantly reduced in size by integrating control circuits, sensing circuits, gate drivers, and power switches. However, magnetic components are the main parts that are bulky and prevent further PFC size reduction. Recently, a highly integrated commercial PFC called Gallium Nitride-controller module (GaN-CM) was introduced, which employs a novel controller in discontinuous conduction mode (DCM) to reduce the size of the boost inductor. The question remains, however, of how to quantify the inductor size reduction while maintaining high efficiency. Moreover, the power rating of GaN-CM is up to 240 W with a single-module operation. In this article, steady-state analysis, loss analysis, and inductor optimization of GaN-CM are conducted to show how DCM PFC can lead to a small inductor with high efficiency. Furthermore, GaN-CM interleaving is proposed to increase the power rating of GaN-CM. The proposed interleaved PFC is verified by a 400-W prototype with an advanced GaN transistor.
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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".