Modulation Scheme for an Effective Increase in the Number of Levels of DC-DC Multi-Level Flying Capacitor Converters
Bibliographic record
Abstract
This paper introduces a novel modulation scheme for dc-dc multi-level flying capacitor buck converters that effectively increases the number of converter levels. It is shown that, in general, an N-level flying capacitor converter can be split simultaneously into an N+1/2 and an N+3/2 level flying capacitor converter. This modulation scheme creates unequal differences between the flying capacitor voltages which can be used to reduce the voltage swing at the switching node and thus the size of the inductor. The voltage swing becomes equivalent to an N2+3/4 level converter for some conversion ratios. Additionally, this modulation scheme has passive flying capacitor voltage balancing, simplifying controller design. A 5-level flying capacitor converter was modulated to create a 3,4-level converter with the effective voltage swing of a 7-level converter. The functionality of this modulation scheme was confirmed with a 24V-to-9V, 45W 5-level buck converter confirming a 35% reduction in the inductor ripple and, thus, allowing for the equivalent inductor reduction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".