Decoupled-Double D Coils Based Dual-Resonating-Frequency Compensation Topology for Wireless Power Transfer
Bibliographic record
Abstract
In this article, a dual-resonating-frequency (DRF) compensation topology is adopted and implemented for exciting the decoupled-double D (DDD) transmitting coils in the dual-frequency wireless power transfer (WPT) systems. Concretely speaking, two double D (DD) coils are located orthogonally and compactly to obtain the effect of magnetically decoupled in both primary and pickup sides. Meanwhile, by adopting the proposed DRF compensation, two arbitrarily predefined resonating frequencies can be realized, thus forming a dual-channel transmission mechanism. Besides, the power distribution of two different frequencies can be randomly regulated based on the users’ requirement by adopting the proposed frequency overlay modulation (FOM) excitation scheme. Combining with the merits of dual-frequency simultaneous transmission, no cross-coupling among pickup coils, and arbitrarily power distribution, the proposed WPT systems can satisfy customers’ various demands and boost transmission efficiency. Theoretical analysis, simulation, and experimentation are given to verify the feasibility of the proposed WPT systems.
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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 | 0.001 | 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".