A two-chip quasi-resonant buck converter with a 700V power-stage and mixed-signal current-mode control
Bibliographic record
Abstract
In sensor-node applications, the auxiliary power is drawn from the ac mains to supply the mixed-signal sensor components. There is therefore a need for low-cost, sub-1W, miniature non-isolated ac-dc down-converters. In this work, a new two-chip architecture is proposed to implement a high-voltage quasi-resonant buck converter with peak current-mode control. The current and voltage control loops are implemented in the high-side (HS) and low-side (LS) IC, respectively. Each IC includes a 700V power transistor, sensing and control circuits. The LS IC transmits the digital peak current command, along with mode selection information, to the HS IC using a low-power 20 MHz isolated communication interface. The architecture achieves a peak simulated efficiency of 85.6% when converting from 339 V to 12 V and allows the size of the input filter to be greatly reduced due to the current-mode operation. State-of-the-art UHV BCD technologies offer a unique opportunity to increase the level of integration and reduce the system cost in the targeted sensor node applications, despite the relatively poor figure-of-merit of the HV devices compared to discrete Silicon super-junction or GaN alternatives.
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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".