Dead‐time effect analysis of a three‐phase dual‐active bridge DC/DC converter
Bibliographic record
Abstract
The dead‐time effect is observed in the three‐phase dual‐active bridge (DAB) DC/DC converter. The occurrence of the dead‐time effect depends on the relationship of the switching frequency, the phase shift value, the dead‐time value and the equivalent conversion ratio. The dead‐time effect may have a significant impact on the converter performance when high switching frequency, wide input and output voltage range or wide operation power range are required. Therefore, comprehensive research of the dead‐time effect is essential to improve the design of the three‐phase DAB converter over a wide operation range. In this study, all the cases of the dead‐time effect in the three‐phase DAB converter are analysed in terms of the buck, boost, and matching states. The expressions of the transmission power, constraint conditions, and key time of the dead‐time effect are derived for each state. The operation waveforms of the dead‐time effect are also presented to better understand the dead‐time effect. Finally, the analysis is verified by both simulation and experimental results.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".