Analysis of Series-Connected Double-Layer Coils for MHz Inductive Power Transfer
Bibliographic record
Abstract
Double-layer coils (DLCs) have been extensively investigated for compact inductive power transfer (IPT) systems operating in the MHz frequency range. Different from previous studies which focus mainly on realizing self-resonance and enhancing the Q factor, this paper enhances both the Q factor and the self inductance to achieve high efficiency and guarantee target output voltage when deployed in IPT applications. By using a lumped-element model derived from transmission line concept, this paper shows that the self inductance when the two layers are serially connected is approximately more than 3 times of that when the two layers are open-ended. Motivated by this feature, we focus on the series-connected DLC and investigate a resonance scheme using two external capacitors: one inserted between the two layers and the other inserted outside the coil. In this resonance scheme, parameters of the capacitors are chosen not only to enhance the Q factor but also to maintain the self inductance. Our air-cored sample coils of 100 mm outer diameter exhibit self inductance of 7.69 μH, Q of 308 at 6.78 MHz, and 94% power transfer efficiency at 50 mm transmission distance. These results are attractive when compared to recent self-resonant open-ended DLCs having similar dimensions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 0.000 |
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 teacher head, 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".