Asymmetric ZVS Buck Converters With High-Step-Down Conversion Ratio
Bibliographic record
Abstract
This article proposes a family of asymmetric high-step-down converters in which zero voltage switching (ZVS) is achieved and common ground between the input and the output is retained. The proposed converters are derived from the multiphase coupled-buck converter and both coupled inductors and series capacitors are employed in order to achieve a high-step-down conversion ratio. Therefore, the voltage stress across the freewheeling diodes and the current stress of the main switches are reduced. Furthermore, switching losses including turn-on, turn-off, capacitive turn-on, and reverse recovery losses are considerably reduced due to the soft switching of semiconductor devices. As a result, the converter can efficiently operate at higher switching frequencies. Also, in comparison to the conventional interleaved buck converter (IBC) the cost, volume, weight, and complexity of the proposed topologies have not increased significantly as the proposed converters use the minimum number of auxiliary components and, similar to the conventional IBC, share the common ground. The validity of this research is confirmed by the experimental results of a 150 V to 12 V/15 A prototype.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".