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Record W4391305769 · doi:10.1109/ojpel.2024.3359971

A Bidirectional DC–DC Converter With Direct Power Transfer

2024· article· en· W4391305769 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.

Bibliographic record

VenueIEEE Open Journal of Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsWaveformTransformerThermal conductionElectrical engineeringPower (physics)Maximum power transfer theoremElectronic engineeringComputer scienceDirect currentTopology (electrical circuits)Materials scienceVoltageEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper presents a novel bidirectional DC–DC converter for several applications such as energy storage systems. The proposed power circuit topology not only has inherent soft switching but also offers reduced conduction losses. The reduction in conduction losses is achieved through a direct power transfer (DPT) path, which can effectively bypass the transformer as well as power semiconductors at the primary side, and transfer power directly to the secondary side. In addition, The power circuit offers flexibility to shape the input current waveform to have lower peak values, resulting in further reduction in conduction losses. Thus, the proposed circuit can potentially provide high efficiency by reducing both the conduction losses and switching losses simultaneously. Theoretical analysis, simulation results, and experimental results demonstrate the feasibility of the proposed circuit and its superior performance.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score0.965

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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