Design of 3.3 kW wireless battery charger for electric vehicle application considering bifurcation
Bibliographic record
Abstract
Bifurcation in a resonant inductive power transfer (RIPT) system causes hard switching of the primary side inverter, decrease in efficiency and loss of control stability. Bifurcation can be avoided by either selecting complicated control strategies or by calculating the parameters of RIPT system in such a way that the system has only one resonant frequency for the entire expected range of load and coupling variations. Many control methods to tackle the bifurcation issue have been covered in the literature. This paper aims at handling the bifurcation by proposing an analytical design procedure. A fabricated system, based on the parameters calculated using presented design steps, avoids the bifurcation phenomenon for the entire coupling and load variations. A 3.3 kW wireless charger setup using series-series compensated RIPT (SS-RIPT) system and 2-phase interleaved boost power factor correction (PFC) as a front end converter has been designed using the proposed method as an example. Simulation results using MATLAB are presented to verify the proposed design methodology.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".