Magnetically coupled resonant wireless power transmission system that meets the Rezence efficiency and frequency specification
Bibliographic record
Abstract
High efficiency Class-E Power Amplifiers (PA) are difficult to analytically design using the original design equations. We present a high frequency (HF) Class-E PA design methodology that simplifies design in this thesis. A high-efficiency Class-E PA was designed using a low-cost power FET by following this design-flow. Due to their small size, it’s difficult to design efficient MCR-WPT resonators for portable electronics. We propose a novel multi-layer MCR-WPT Printed Spiral Coil (PSC) design and design methodology. Two MCR-WPT PSC resonators were designed for smartphones and tablets to meet the Rezence Self-Resonant Frequency and efficiency specifications using this novel design and design methodology. The MCR-WPT resonators power transfer efficiency is reduced when their separation distance is below the optimal Critical Coupling Distance (CCD) due to frequency splitting. We present a novel maximum-peak detection and auto-tuning circuit that automatically improves efficiency using capacitive tuning when the separation distance is below the CCD.
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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 | 0.001 |
| 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 | 0.001 | 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".