Direct Phase-Shift-Angle Optimization Strategy for DAB Converters’ Efficiency Enhancement Based on Fundamental Extended Phase-Shift Modulation
Bibliographic record
Abstract
The dual-active-bridge (DAB) converter is widely employed in dc conversion owing to its symmetrical structure, ease of operation, and high efficiency. However, its efficiency decreases under light-load conditions, especially when the voltages are severely mismatched with the transformer. This article proposes a fundamental extended phase-shift (FEPS) modulation method based on the frequency-domain model to improve light-load efficiency. This strategy can not only improve the converter efficiency but also resolve the difficulty of determining the peak current in the time-domain model inherent to EPS modulation. Moreover, based on the optimization results and exploiting monotonicity, a direct phase-shift-angle optimization (DPO) strategy is further proposed, which can reduce the computation of the DAB system. Experiments are conducted on a small experimental platform and compared with several existing optimization methods. The experimental results of efficiency tests verify the effectiveness of the FEPS modulation and DPO method proposed in this article.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".