A Dynamic Solution to Spatial Misalignment in Strongly Coupled Magnetic Resonance Wireless Power Transfer Systems
Bibliographic record
Abstract
Spatial misalignment is the leading cause of power transfer efficiency loss in a wireless power system; the misalignment causes the magnetic coupling of the system to change, resulting in a non-optimal load impedance.This research work presents the design and evaluation of an adaptive, near-field transmitter that can maintain the system efficiency when spatial misalignment occurs.The design consists of a power amplifier, a directional coupler, a tuneable impedance matching network, a gain-phase detector, and a microcontroller.An algorithm was created to determine the varying load impedance; another modified the configuration of the tuneable matching network for one that can match to the new load impedance.The developed class EF 2 power amplifier delivered 7.5 W of power to the load, with a drain efficiency of 82.4%, at 13.56 MHz.The adaptive transmitter prototype maintained an average of 55% system efficiency for a separation distance of 1.5 cm to 3 cm.I would like to take this opportunity to express my profound gratitude for my thesis supervisor, Dr. Rony Amaya, for giving me a chance.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".