High‐efficiency wireless power transfer system for 3D, unstationary free‐positioning and multi‐object charging
Bibliographic record
Abstract
Wireless power transfer (WPT) has become increasingly widespread in recent years, ranging from electric vehicles, portable consumer electronics, and implantable biomedical devices to flexible/stretchable electronics. The authors here present a WPT system based on the maximum efficiency design principle. Utilising the properties of Helmholtz coils, a near‐uniform 3D volume electromagnetic field is generated making it possible to transfer power to multiple devices simultaneously with no requirement of orientation and/or alignment. The system can also provide continuous wireless power to multiple devices even when they are moving, with an efficiency of up to 87%. An automatic frequency tracing technique was developed to compensate for the resonant frequency shifting issue encountered when the number of loadings changes. Meanwhile, a multi‐load decoupling control system was also developed, such that each secondary coil receives consistent energy without being affected by the addition or removal of another receiving coil(s). As a proof of concept, the authors successfully charged various numbers of mobile phones simultaneously and transmitted power to single/multiple moving devices wirelessly.
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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 | 0.001 |
| Research integrity | 0.001 | 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".