Feasibility study of hybrid inductive and capacitive wireless power transfer for future transportation
Bibliographic record
Abstract
Due to the inconvenience and safety issues caused by exposed plugs and damaged cables, wireless charging of electric vehicles (EV) has gained popularity. Inductive wireless power transfer has been successfully applied up to 30kW involving the charging of EV batteries. The capacitive wireless power transfer system is new for the EV charging application, but can address the transfer of power across metallic barriers with much less losses. The performance of different compensation topology for each system is compared based on the power transfer ability, complexity, switching frequency, electromagnetic interference tolerance and efficiency. Finally, the possibility of a hybrid topology for improving the power transfer, efficiency and misalignment tolerance is considered from the literature, which can also make the system size more compact by achieving cross resonance between inductive coils and capacitive plates. The review provides a brief account of the recent laboratory prototypes for inductive wireless power transfer (IWPT), capacitive wireless power transfer (CWPT) and hybrid wireless power transfer techniques which can be adopted for wireless EV charging.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".