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Record W2807732892 · doi:10.1109/picc.2018.8384740

Performance comparison of Si and SiC MOSFETs in a bidirectional dual half-bridge series resonant converter

2018· article· en· W2807732892 on OpenAlexaff
Nikhil Sachdev, Ashoka K. S. Bhat

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsTransformerConvertersVoltageHalf bridgeMOSFETMaterials scienceElectrical engineeringResonant converterElectronic engineeringHigh voltageOptoelectronicsEngineeringCapacitorTransistor

Abstract

fetched live from OpenAlex

Bidirectional converters form an integral part of alternate energy systems and electric vehicles. High-frequency transformer isolated dual full-bridge series resonant converter (SRC) has electrical isolation with high efficiency due to soft switching and operates with a small variation in phase-shift angle. In this paper, a high-frequency transformer isolated bidirectional dual half-bridge SRC is designed and first simulated to verify its operation with variations in input/output voltages and load. Then a 100 W prototype experimental converter is built based on the design. This converter is used to test the performance of Si and SiC MOSFETs. It is shown that SiC MOSFETs operate with higher efficiency compared to Si MOSFETs especially at light load conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.443

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 head0.015
GPT teacher head0.239
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations10
Published2018
Admission routes1
Has abstractyes

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