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Record W1571651079 · doi:10.1109/apec.2005.1452939

A novel nonisolated half bridge DC-DC converter

2005· article· en· W1571651079 on OpenAlexaff
Zhihua Yang, S. Ye, Yan‐Fei Liu

Bibliographic record

VenueTwentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005. · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsDuty cycleConvertersVoltageForward converterElectrical engineeringHalf bridgeNetwork topologyCapacitorTopology (electrical circuits)Ćuk converterComputer scienceEngineeringControl theory (sociology)Boost converter

Abstract

fetched live from OpenAlex

The duty cycle of conventional multi-phase buck converters become extremely small as the output voltage becomes lower and lower. This is a severe challenge with the switching frequency goes up. This paper introduces a non-isolated half bridge converter , which extends duty cycle to a favorable range. Thus, the converter will have symmetrical dynamic response ability. The switching loss will reduce dramatically. The primary current is directly transferred to the output. The energy transferring is more effectively then that of conventional isolated half bridge converter. In addition, the voltage stress of the primary MOSFETs equals to the input voltage, which is much lower than that of non-isolated forward or push-pull topologies. A 12 V input, 1 V/30 A output, 350 kHz prototype was built to demonstrate the advantages

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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 designNot applicable
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

Citations19
Published2005
Admission routes1
Has abstractyes

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