A Single-Stage AC/DC Bridge-Less Converter with an Adaptive Control Scheme and Reduced DC-Link and Output Capacitances for High Voltage EV Systems
Bibliographic record
Abstract
This paper presents a new AC/DC step-up CLLC resonant converter with reduced dc-link and output capacitance and an adaptive control scheme for fully soft-switching operation for high-voltage EV systems. In the proposed converter, a closed-loop controller guarantees soft-switching operation and high-quality sinusoidal input current without a need for any auxiliary circuits. Moreover, the designed adaptive control system allows for replacing bulky dc-link and output filter capacitors with small capacitors that result in a high-power density, higher reliability, and reduced size converter system. Moreover, the proposed adaptive control scheme allows the converter to further narrow its switching frequency spectrum for output voltage regulation, resulting in an extended high-efficiency range while maintaining soft-switching operation. Furthermore, a variable frequency control algorithm is designed to regulate the converter's output voltage during its modes of operation. The performance of the proposed converter system is verified through a 2kW, 120Vac/800Vdc 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".