7.2 kW GaN-Based DAB Converter with 37 kW/L Power Density and High Efficiency
Bibliographic record
Abstract
This paper presents a GaN-based high power density and isolated DC-DC converter with dual active bridge topology for DC/DC stage of a bidirectional 400V EV on board charger (OBC). Gallium Nitride (GaN) technology in top side cooled package is employed to achieve higher switching frequency with more compact passive components solutions. The paper introduces the design parameters for the DAB circuit with wide range output, variable frequency controller as well as two high frequency planar transformer designs to achieve 125 kW/L power density. System level loss breakdown and circuit protection scheme and implementation are also provided. The 7.2kW DAB prototype has been implemented and tested in constant voltage (CV) mode, proving exceptional power density of 37 kW/L with 98.8% peak efficiency.
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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) | 0.002 | 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 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".