Planar transformer winding technique for reduced capacitance in LLC power converters
Bibliographic record
Abstract
Planar transformers (PTs) offer advantages over traditional wire-wound transformers including low-height, low leakage inductance, excellent thermal characteristics, Exceptional reproducibility and manufacturing simplicity. Despite these features, PTs have very high parasitic capacitance due to the large overlapping area and the small distance between consecutive layers. These parasitic capacitances can severely affect the performance of power converters and limit the application of PTs in high frequencies. In this paper, a new PT with very low parasitic capacitance is introduced to mitigate the problems that arise from the parasitic capacitances. The superiority of the proposed PT is confirmed through finite element analysis (FEA) and the experimental measurements and it is shown that the proposed transformer has 21.2 times less intra and 16.6 times less inter-winding capacitance than traditional spiral PT. This significant capacitance reduction has a tangible effect on the performance of power converter and the experimental results of employing the proposed transformer in 1.2 kW LLC resonant converter shows considerable performance improvement of the converter in terms of common mode (CM) noise and light-loading voltage regulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".