Constant Current/Constant Voltage Charging Via Series-Series Compensated Resonant Inductive Wireless Charging for Electric Vehicle
Bibliographic record
Abstract
This paper presents the simple yet effective phase shift control to attain constant current/constant current (CC/CV) charging for Electric Vehicle (EV) battery packs through series-series compensated resonant inductive wireless power transfer (RIWPT). The Series-Series (SS) compensation is mainly used in the proposed system to improve power transfer capability, reduce the leakage magnetic flux, and thereby maximize the power transfer efficiency. The battery pack of EV s is characterized as an equivalent variable resistance during CC/CV charging based on a real charging profile of a Chevy bolt EV battery pack. The primary side control is utilized in the proposed system to reduce the weight of the onboard power electronics converter and components requirements on the secondary side. An effective phase shift control strategy for RIWPT -based level 2 charger which only requires battery voltage and current data is implemented to achieve CC/CV charging of the EV battery pack. The effectiveness and practicality of the proposed control strategy are verified through a 7.7 kW RIWPT-based charger simulation as well as its experimental validation with a 3.7 kW RIWPT -based charger prototype.
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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 | 0.001 | 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".