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Record W1537711758 · doi:10.1109/icpe.2015.7167918

Soft-switching single stage isolated AC-DC converter for single-phase high power PFC applications

2015· article· en· W1537711758 on OpenAlexaff
Chushan Li, Yu Zhang, Dewei Xu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInductorBoost converterCapacitorFlyback converterTopology (electrical circuits)Electronic engineeringConvertersPulse-width modulationForward converterĆuk converterCommutationComputer scienceBuck–boost converterVoltageElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

In this paper, a novel single-stage isolated AC-DC converter is proposed for single-phase high power PFC applications. The circuit is derived by combining the boost converter and the matrix-based isolated AC-DC converter. Compare to traditional PFC plus DC/DC configuration, this topology has no diode front end and the number of semiconductors in the current path is minimized. Thus the conduction loss is decreased. By adding a small clamping capacitor and two small size commutation inductors, softswitching for all switches can be realized. Thus the system efficiency can be significantly improved. Furthermore, traditional PWM technology can be applied. Problems of resonant based soft-switching converters including large EMI filter size, high devices voltage and current stress, and low light load efficiency can be avoided. In this paper, the topology derivation and circuit operational analysis are given. The control strategy is introduced and a simulation is carried out to verify the circuit.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · 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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.259
Teacher spread0.233 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations15
Published2015
Admission routes1
Has abstractyes

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