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Record W2163275014 · doi:10.1109/pesc.2001.954383

Analysis of a zero voltage transition boost converter using a soft switching auxiliary circuit with reduced conduction losses

2002· article· en· W2163275014 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCapacitorInductorBoost converterTopology (electrical circuits)VoltageDiodeĆuk converterElectronic engineeringComputer scienceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents a zero-voltage-transition (ZVT) boost converter using a soft switching auxiliary circuit. The improvement over existing topologies lies in the structure and position of the auxiliary circuit capacitors and the subsequent reduction in the main switch resonant current. This converter has the following features: (1) soft switching of the main switch and boost diode under all operating conditions; (2) reduced auxiliary circuit losses due to soft switching of the auxiliary switch; (3) feedforward of a part of the auxiliary circuit energy to the output. The operation of this converter is analyzed and characteristic curves are presented, which help in the design process. Experimental results from a 250 W, 127 Volt input laboratory prototype switching at 100 kHz are shown which verify the advantages of this topology.

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.

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 score0.908
Threshold uncertainty score0.829

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)0.0010.000

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 head0.024
GPT teacher head0.216
Teacher spread0.192 · 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

Quick stats

Citations37
Published2002
Admission routes2
Has abstractyes

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