Maximizing Efficiency while maintaining Voltage Regulation of Wireless Power Transfer Systems using a Buck-Boost Converter
Bibliographic record
Abstract
This paper presents an analysis of a Wireless Power Transfer (WPT) System using a buck-boost converter for voltage regulation with the objective of maximizing efficiency by reducing conduction losses and achieving zero voltage switching (ZVS). Unlike conventional buck-boost converter gain characteristics, the buck-boost converter cascaded with the receiver of a WPT system does not have a monotonically increasing gain curve and instead shows a concave characteristic. Thus, a required output voltage can be obtained with two different values of duty ratio of the buck-boost converter if the voltage gain required is below the maximum attainable gain of the system. This novel work will investigate which duty ratio will yield a higher efficiency at various switching frequencies of the transmitter by considering conduction losses and the ability to obtain ZVS. Discussion on coupling strength between coils and its impact on ZVS capability is also shown. Experimental results on a 5W, 5V output system with the two possible duty ratios are used to verify the analysis.
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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) | 0.001 | 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".