A Novel High-Efficiency Fully Soft-Switching High Step-Up DC–DC Converter Utilizing an Active Switched Inductor
Bibliographic record
Abstract
This paper presents a novel DC-DC converter for high-step-up applications. The converter combines an active switched inductor (ASI) circuit and a snubber circuit to increase gain and provide soft switching for all semiconductor devices. With the use of a single-core coupled inductor, high voltage gain is achieved. The snubber circuit further contributes to the gain enhancement. The switches turn on under zero current switching (ZCS) conditions, while all diodes operate under ZCS. In addition, the snubber capacitor provides zero voltage switching (ZVS) when the switches turn off. The low voltage stress on the switches enables the use of switches with low on-resistance, which reduces conduction loss. Additionally, the advantage of current sharing leads to a greater reduction in switch conduction loss. The theoretical analysis of the proposed converter is explained in detail. Furthermore, a prototype with an input voltage of 40V and an output voltage of 400V is implemented to demonstrate the efficacy of the proposed topology.
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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 | 0.001 |
| 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".