Hybrid Compensation Network for Misalignment-Tolerant Constant Current/Constant Voltage Charging for Wireless Power Transfer System
Bibliographic record
Abstract
This paper presents the hybrid compensation network to achieve constant current/constant voltage (CC/CV) charging for wireless charging of Electric Vehicle (EV) with misalignment tolerant capability. The double-sided LCC (DS-LCC) compensation is used for CC charging whereas the LCC-S compensation is employed for CV charging. The battery pack of an EV is characterized as an equivalent variable resistance during CC/CV charging, whose data is based on the charging profile of the Nissan Leaf EV battery pack. The switching between the two compensation networks in the proposed hybrid compensated WPT system is controlled completely by the secondary side thereby eliminating real-time communication between the primary and secondary side. However, the phase shift control is utilized in the primary side inverter to maintain the corresponding CC and CV charging mode during the case of misalignment. A level 1 WPT system’s theoretical analysis and simulation model incorporating phase shift control is proposed to achieve CC/CV charging of EV batteries during the case of misalignment. The design procedure along with all the simulation results is analyzed and discussed in detail.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".