Closed-Form Continuous Asymmetrical Hybrid Modulation, Ensuring Wide ZVS Range and Seamless Transients for DAB Converters
Bibliographic record
Abstract
This paper introduces the closed-form continuous asymmetric-pulses-asymmetric-zeros (C2APAZ) hybrid modulation for dual-active-bridge (DAB) converters, aiming to extend the ZVS range with minimal penalty in the RMS current. C2APAZ hybrid modulation combines symmetrical and asymmetrical modulation modes, utilizing five control variables. Closed-form continuous equations for these control variables are derived based on the switches’ turn-on current. Optimization is conducted by controlling these currents, leading to an extended ZVS range. Experimental results from a 5000W hardware setup demonstrate a 1.2% efficiency improvement at 500W and a 0.72% efficiency improvement at 3500W compared to the state-of-the-art asymmetrical hybrid modulations. Additionally, a 5000W power step is applied, and the proposed method illustrates the continuous transition of hybrid modulation modes throughout the power range, leading to a seamless transition.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".