Efficient Wireless Power Transfer with Self-Resonant Three-Coil Design
Bibliographic record
Abstract
Wireless power transfer (WPT) systems face challenges in maintaining high efficiency over long distances due to energy losses and misalignment. Multi-coil architectures, particularly three-coil configurations, provide an effective solution to enhance both transfer efficiency and range. Series compensation is widely adopted for its simplicity and ease of implementation. In addition, using self-resonant coils eliminates the need for external capacitors, further enhancing system efficiency and simplifying the design. This study proposes a seriesseries self-resonant three-coil WPT system with planar coils. Track width ratio (TWR) and track gap ratio (TGR) structures have been implemented to reduce losses and improve the quality factor of the coils. Experimental results demonstrate the system’s effectiveness, achieving maximum efficiency of $87.2 \%$ at 70 mm and $42 \%$ at a 150 mm distance between the relay and load coils, with 200 mm coil diameters and a $10 \Omega$ load.
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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 | 0.000 | 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".