A novel winding layout strategy for planar transformer applicable to high frequency high power DC-DC converters
Bibliographic record
Abstract
High power isolated full bridge DC/DC converters are used widely in electric vehicles (EVs) and hybrid electric vehicles for battery charging purpose. Such DC/DC converters use planar magnetic components to minimize their size and weight and to increase their ability to withstand mechanical vibrations. Typical planar transformers (PT) in DC/DC converters have high inter-turn and inter-layer capacitances that cause them to draw high peak currents, increase voltage overshoot across secondary rectifying devices, and increase leakage current, which causes EMI problems. These key problems of PT restricts increase of switching frequency of DC/DC converters used in EVs, which in prevents designers of such DC/DC converters from decreasing overall size and weight of the converters. This paper proposes a novel winding layout strategy to mitigate the stray capacitance of planar transformers. The effectiveness of the proposed winding strategy is validated by analytical and experimental results that are presented in the paper.
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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) | 0.001 | 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 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".