Enhanced Control Strategy for Wireless Power Transfer Systems Using a Self-Sustained Oscillating Control Technique
Bibliographic record
Abstract
This paper presents an advanced control strategy for optimizing the performance of Wireless Power Transfer (WPT) systems using a Series-Series Resonant Converter (SSRC). The proposed Self-Sustained Oscillating Control (SSOC) technique enhances the efficiency of Zero Voltage Switching (ZVS), significantly reducing switching losses and improving overall system performance. The SSOC method dynamically adjusts the switching frequency to ensure ZVS under a wide range of operating conditions, including varying load scenarios and coil misalignment. The technique is validated through comprehensive simulations and experimental studies, demonstrating its capability to maintain stable voltage regulation and reliable power transfer efficiency in real-world WPT applications. The experimental results highlight the robustness of the SSOC in electric vehicle (EV) charging systems, showcasing its potential as a scalable and efficient solution for modern WPT infrastructures.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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".