Analysis and Design of SR Driver Circuit for LLC DC-DC Converter Under High Load Current Application
Bibliographic record
Abstract
In low output voltage high load current LLC dc-dc converters, synchronous rectifiers are usually used to reduce the secondary loss. The proper conduction time of synchronous rectifiers (SRs) is key to improve efficiency and make the converter run more reliably and stably. In high load current LLC dc-dc converters, voltage ringing across SRs makes SRs turn-on early when the current flowing through SRs decreases to zero, which causes the circuit to work abnormally. This paper presents analysis and design of SR driver circuit for LLC dc-dc converter under high load current application and eliminates the effect of voltage ringing across SRs by a RC filter. The proposed filter is simple and lossless, which is easy to utilize in the circuit. The voltage ringing across SRs is analyzed and the design parameters of the filter are given in this paper. The experimental results show that 1.26kW LLC dc-dc converter with the proposed filter works reliably at high load current with high efficiency and high-power density.
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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) | 0.004 | 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".