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Record W2769609304 · doi:10.1109/ecce.2017.8096667

LLC synchronous rectification using homopolarity cycle modulation

2017· article· en· W2769609304 on OpenAlexaff
Mehdi Mohammadi, Martin Ordonez

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRectificationConvertersControl theory (sociology)Modulation (music)TransformerSynchronizingThermal conductionInverterElectronic engineeringVoltageEngineeringElectrical engineeringTopology (electrical circuits)PhysicsComputer scienceAcousticsControl (management)

Abstract

fetched live from OpenAlex

In order to enhance the efficiency of LLC resonant converters, a new synchronous rectification modulation technique, called homopolarity cycle modulation, is proposed. The proposed modulation technique answers the main challenge in synchronizing the LLC converter's rectifier, which is detecting the conduction angle. By observing the polarities of the inverter voltage and secondary voltage of the transformer and mapping them in the homopolarity plane, the conduction angle of the synchronous rectifiers (SRs) is obtained. The homopolarity cycle is defined and used in the LLC converter's time domain equations to mathematically calculate the gain and the SRs' conduction angle. The theoretical analyses have resulted in a very simple control law with low-cost implementation requirements. Since the amplitudes of the signals used in the proposed control law are not important, the modulation technique's noise immunity is considerable. The maximum efficiency of the LLC converter using the proposed homopolarity cycle modulation technique is measured as 97.9%, which is 4% higher than the efficiency rate of a conventional LLC converter.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.261
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations5
Published2017
Admission routes1
Has abstractyes

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