MétaCan
Menu
Back to cohort
Record W2486456823 · doi:10.1109/tpel.2016.2593867

A Dual Series-Resonant DC–DC Converter

2016· article· en· W2486456823 on OpenAlexafffund
Amir Tahavorgar, John E. Quaicoe

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPulse-width modulationTransformerCapacitorRLC circuitSeries and parallel circuitsElectronic circuitForward converterTopology (electrical circuits)Electronic engineeringElectrical engineeringEngineeringĆuk converterDiodeVoltageBoost converter

Abstract

fetched live from OpenAlex

A dual series-resonant dc-dc converter with zero-voltage switching and zero-current switching features is proposed in this paper. The topology consists of two switches and a clamping capacitor on the primary side of an isolating transformer. The two switches are operated in a complementary mode under a pulse width modulation (PWM) scheme. The secondary side of the transformer is connected to the load through two series-resonant circuits and a half-bridge diode rectifying stage, in which the rise and fall slopes of the diode currents are limited by the slope of the currents in the resonant circuits, resulting in reduced switching losses in the diodes. The two series-resonant circuits provide power transfer to the output load without interruption throughout the positive and negative cycles of operation. It is shown that the output voltage of the proposed converter can be regulated using either PWM control or frequency modulation control. Both step-down and step-up voltage conversions can be achieved using the proposed topology. Programmable system-on-chip is used as the controller platform to implement a 40 W laboratory prototype. A complete steady-state analysis is presented and the experimental results of the prototype of the proposed converter are discussed.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.005
GPT teacher head0.199
Teacher spread0.194 · 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 designOther design
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

Citations21
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Power ElectronicsSame topicAdvanced DC-DC ConvertersFrench-language works237,207