A Complementary Asymmetrical Triangular Coil Set for Wireless Power Transfer Applications
Bibliographic record
Abstract
This paper presents the design and analysis of a new bipolar right-angled Double-D (DD) coil as the transmitter and a concentric rectangular spiral coil as the receiver. Additionally, a bipolar-bipolar configuration with DD coils for both Tx and Rx, as well as a proposed unipolar-unipolar coil consisting of a concentric rectangular Rx and two asymmetrically placed rightangled triangular Tx coils, are investigated. A comprehensive comparison of these coil configurations is conducted to evaluate misalignment tolerance and coupling efficiency. The proposed coil design, with the vector synthesis strategy, improves magnetic flux density and power transfer efficiency while generating a highly concentrated magnetic field. It also ensures effective flux circulation and improved misalignment tolerance along both the$x$and$y$axes. The two asymmetrical coils form a unified unipolar structure, and directly provide misalignment data to the circuitry, facilitating real-time adjustments. Finite element analysis (FEA) is utilized in Ansys Maxwell to validate the design, demonstrating complementary power delivery and enhanced wireless power transfer performance.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".