Analysis of Novel Single-Stage Isolated Cuk-derived Converter for 800-V Electric Vehicle Onboard Charger
Bibliographic record
Abstract
Recently, some research and development efforts have focused on 800-V passenger electric vehicles due to their ability to accept high fast-charge power levels. These vehicles still require an on-board charger (OBC), since convenient and lowcost overnight charging from residential power supplies will be important for powering regular commutes. There are some new challenges involved with designing efficient and compact 800-V OBCs, as they must have a high voltage gain from the 120-V or 240-V AC input, they must have high efficiency across a wide range of output voltages, as the battery charges from low to high state-of-charge, and they will require some higher voltage devices which increases cost. Though some 800-V OBC designs have been presented in the literature, many have a high component count. This paper presents a novel single-stage isolated Cuk-based 800V OBC with a low number of components, simple structure, and straightforward control. The operational principle is discussed and detailed simulation results are provided. The simulation results validate the converter operation, and show a low THD (1.71%), near unity power factor, and peak efficiency of 97.5%.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".