Lateral Misalignment and Foreign Object Detection in Resonant Capacitive Power Transfer
Bibliographic record
Abstract
This paper proposes a method of detecting lateral misalignment and foreign objects in a resonant capacitive power transfer (RCPT) system. Foreign object detection (FOD) under misalignment is also considered. The method considers the admittance matrices associated with a practical RCPT link and leverages voltage measurements on the transmit-side for detection. To support this work, a 13.56 MHz RCPT link incorporating a six-plate structure was designed and built for electric vehicle charging applications. A matching simulation model was created and, when evaluating FOD, metallic and tissue-simulating foreign objects were added. Simulations, validated by measurements, show that a lateral misalignment of up to 170 mm can be identified, including the direction of misalignment. FOD simulations indicate a detection range of up to 380 mm, also including direction. Further simulations indicate that the detection range surpasses the distance at which the basic restrictions for electromagnetic field exposure would be exceeded. Additionally, simulation results show that foreign objects can be detected under misalignment. Thus, both lateral misalignment detection and FOD can be achieved without the use of external sensors. This work can help to advance the safety features of RCPT at minimal cost for important applications such as electric vehicle charging and electrified roadways.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".