Low-volume hybrid tap-connected SC-buck converter with shared output capacitor
Bibliographic record
Abstract
This paper introduces a hybrid converter topology for low-power applications that uses a novel connection of a switched capacitor (SC) converter and a buck converter to achieve smaller volume and better power processing efficiency than conventional step-down solutions. Specific advantages of this topology include smaller inductor volume, reduced input filter requirements, and lower voltages stress of the semiconductor components. These advantages are achieved by connecting the buck converter to a tap of a 2:1 ladder SC circuit and both stages share the middle capacitor of the capacitor stack. A direct connection of the stacked input capacitors of the SC to the source acts as a portion of the input filter and reduces the voltage swing across the inductor and switching components, allowing for smaller inductance value and lower voltage stress. The advantages of this topology are verified with a digitally controlled 24 V to 5 V/ 5 A, 1 MHz experimental prototype having about 50% smaller inductor, and about 30% lower voltage stress than a conventional buck 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".