Active Saturation Mitigation in High-Density Dual-Active-Bridge DC–DC Converter for On-Board EV Charger Applications
Why this work is in the frame
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Bibliographic record
Abstract
This article presents a transformer saturation prevention algorithm (SPA) targeting dual-active-bridge (DAB) dc-dc converters utilized in bidirectional, two-stage electric vehicle (EV) on-board battery chargers. Saturation prevention is achieved by detecting the variation in transformer current slope near the boundary of saturation and applying duty-cycle offsets to the DAB converter full bridges. Compared to alternative methods of saturation mitigation, the proposed algorithm offers the following benefits: Lower transformer design safety margins which enable volume reduction with minimal harm to efficiency, and low-cost implementation using a single low-cost current sensor even at high converter switching speeds. Experiments on a custom 6.6-kW on-board EV charger confirm the controller functionality and initial converter analysis. A peak converter efficiency of 96.8% with a transformer volume of 80 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> is achieved, which is a 50% volume reduction in comparison to other academic works.
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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 | 0.001 |
| 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 it