A low-volume hybrid step-down dc-dc converter based on the dual use of flying capacitor
Bibliographic record
Abstract
This paper introduces a hybrid step-down dc-dc converter, targeted for battery powered portable applications where low-volume implementation is the key priority. The introduced architecture, combining switched-capacitor (SC) and inductor based circuits, requires low-volume for implementation by reducing the size of the filer inductor by 4 times and the output capacitor by 2 times. In addition to supporting wide input-output range for step down voltage conversions, the introduced architecture demonstrates up to 15 % power processing efficiency improvement compared to conventional buck converter and faster dynamic response. These advantages are obtained by a dual use of the flying capacitor usually existing in SC converters. The flying capacitor is used for both balancing of the front-end stage and reducing voltage swing/stress of the components. Experimental results from a 5 V, 25 W, 500 kHz prototype verify advantages of the introduced converter.
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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) | 0.001 | 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".