Loop Radius Optimization for High-Efficiency Wireless Power Transfer System
Bibliographic record
Abstract
Wireless power transfer (WPT) offers practical solutions in modern power systems for electric vehicle(EV) charging, smart grid integration, and consumer electronics by providing efficient and contactless energy delivery. This paper focuses on designing a high-efficiency WPT system based on magnetic resonance coupling (MRC). While conventional studies improve efficiency by adjusting the distance between the driving loop and the transmit coil, this paper highlights a novel method of enhancing efficiency through radius optimization of the driving loop. By tuning the loop radius according to different transfer distances, the system achieves improved coupling coefficient and higher efficiency. Experimental results confirm that the proposed method achieves a relative improvement of approximately 38% over the baseline system efficiency, while maintaining consistent performance across various transmission distances. The proposed radius-tuning approach provides a simple yet effective means of optimizing coil geometry without requiring complex control strategies or system modifications, offering promising applicability for wireless charging of electric vehicles and consumer electronics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".