A 48 V-1 V Auxiliary-Assisted Hybrid DC–DC Converter With Flying-Capacitor-Based Virtual Bus for Fast Transient Response
Bibliographic record
Abstract
The focus of this work is an auxiliary-assisted 4:1 Dual-Inductor Hybrid (DIH) converter for fast transient response in 48V PoL applications. The flying capacitor of the DIH converter is utilized as the energy buffer for the auxiliary stage, which is a low-cost, GaN-based bidirectional buck converter. The main DIH converter delivers the dc load power from the 48V bus using an Average-Current-Mode-Control (ACMC) scheme, while the auxiliary stage regulates the output voltage with an Output-Capacitor-Current (OCC) sensing scheme. The proposed architecture operates with a virtual auxiliary voltage bus with minimal auxiliary capacitance,CAUX, due to the OCC-sensing scheme. A 40W prototype has been fabricated to validate the proposed architecture with the virtual bus concept. The prototype achieves a peak efficiency of 93.8% and regulates the output voltage of 1 V within ±50 mV during 20A load transients with an output capacitance of only 800 μF. Experimental results validate the operation of the virtual bus withCAUX= 0.47 μF during 20A load transients while observing a deviation of 4.7 V on the 12V auxiliary virtual bus voltage,VAUX
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".