MétaCan
Menu
Back to cohort
Record W4407948491 · doi:10.1109/tte.2025.3545817

Wide Voltage-Regulation Range Synchronous-Rectifier <i>LLC</i> Converter With Novel Operation Modes

2025· article· en· W4407948491 on OpenAlexaff
Xiang Zhou, Jiarui Wu, Huan Luo, Long Pei, Donghua Duan, Peng Guo, Laili Wang, Yan‐Fei Liu

Bibliographic record

VenueIEEE Transactions on Transportation Electrification · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
FundersNational Natural Science Foundation of China
KeywordsRectifier (neural networks)Range (aeronautics)Precision rectifierVoltageElectrical engineeringComputer scienceMaterials scienceEngineeringPower factor

Abstract

fetched live from OpenAlex

Traditionally, the energy feedback in synchronous rectifier (SR) LLC converter was once considered to only have the ability to reduce the voltage gain. In this article, a kind of special energy feedback caused by the novel operation modes of LLC resonant converter is proposed for improving voltage gain. Compared to the P, O, and N stages in conventional LLC converter, stage F is built by controlling the turn-on early time of the SR. By using the proposed operation modes, not only zero-voltage switching (ZVS) of both the primary-side and secondary-side switches is achieved, but the voltage gain of the LLC converter can be increased significantly with a narrow switching frequency range and a smaller magnetizing inductance circulating current. In addition, the proposed operation modes are simple and easy to be utilized in full bridge, half bridge, and so on; all kinds of LLC converters thus can form a new general control strategy of the SR LLC. Finally, a 100-W half-bridge SR LLC dc-dc converter prototype with a wide voltage-regulation range is implemented to validate the proposed operation modes and the theoretical analysis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.202
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Transportation ElectrificationSame topicAdvanced DC-DC ConvertersFrench-language works237,207