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Record W2096917858 · doi:10.1109/tpel.2008.2001915

A Novel Two Phase Nonisolated Full Bridge With Shared Primary Switches

2008· article· en· W2096917858 on OpenAlexaff
S. Ye, Eric Meyer, Yan‐Fei Liu, Xiaodong Liu

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsConvertersInductorTopology (electrical circuits)Power (physics)Electrical engineeringElectronic engineeringNetwork topologyH bridgeEngineeringHalf bridgePhase (matter)Three-phaseCapacitorComputer scienceVoltagePhysicsPulse-width modulation

Abstract

fetched live from OpenAlex

In this paper, a new full bridge topology called the two-phase nonisolated full bridge (NFB) is introduced. The proposed two-phase NFB can handle the same power as two parallel NFB converters, but with less MOSFETs, better efficiency, and lower cost. To demonstrate the advantages of the new topology, two prototypes are built on a 12-layer 2-oz PCB board, one with four inductors, the other with three inductors. Two prototypes achieve 82.3% and 82% efficiency at 1-MHz full load (1 V/80 A), respectively. This is compared to 81.8% efficiency of the two paralleled NFB converters. At light load (1 V/10 A), a 4% efficiency improvement is achieved. Experimental results demonstrate that compared with two paralleled NFB converters, the two-phase NFB converter is able to achieve better efficiency with a simplified power train circuit and reduced cost.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
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 integrity0.0000.001
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 head0.012
GPT teacher head0.225
Teacher spread0.214 · 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 designBench or experimental
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

Citations8
Published2008
Admission routes1
Has abstractyes

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