Extended Range Bridgeless PFC Converter With High-Voltage DC Bus and Small Inductor
Bibliographic record
Abstract
Utility power lines voltage levels vary in different geographical locations, ranging from 208 to 480 Vrms. Power factor correction (PFC) converters are typically designed for a particular input voltage and do not accept a wide range of line voltages. This results in multiple product designs and revisions and increased production costs to accommodate the various ac voltage levels used around the world. A PFC converter capable of coping with a wide input voltage range, from 90 Vrmsup to 530 Vrms, would significantly decrease costs and streamline development. In this article, an extended input voltage range PFC converter is proposed, which provides a high and almost flat efficiency curve throughout the entire operating voltage range with an 800 VDC bus voltage. The proposed converter has a flexible bridgeless structure with simple control, low-current ripples, low common mode noise, and startup inrush current handling capabilities. Theoretical analysis and waveforms are discussed and experimental results for a 2-kW prototype are given, thereby validating the expected behavior. The operation of the proposed extended input voltage range PFC converter is also compared to the traditional totem-pole PFC showing more than 1% efficiency improvements at full load and a higher power factor in the proposed design.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".