A Wireless Power Transfer System with Reduced Output Voltage Sensitivity for EV Applications
Bibliographic record
Abstract
This paper presents a design procedure for LCC-Series compensation network for Wireless Power Transfer (WPT) system for Electric Vehicle (EV) applications. DC-link voltage variations is common in the gird connected power converters due to using diode rectification. These voltage variations could be reflected to the load side in a WPT system. The main focus of this paper is to design the resonant circuit to minimize the output voltage sensitivity respect to the input voltage variations. The resonant network is also tuned to realize Zero Voltage Switching (ZVS) for the primary side inverter to minimize the switching losses. Furthermore, a Finite Element Analysis (FEA) is performed to calculate self and mutual inductances as well as core losses for magnetic couplers. In order to validate the feasibility of the proposed design, a 22 kW/85 kHz WPT system with circular magnetic couplers is simulated. According to the frequency domain analysis the proposed circuit has 32% less sensitivity to the input voltage variations in comparison with the conventional design.
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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 | 0.000 |
| 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) | 0.002 | 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".