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Record W4392207630 · doi:10.1109/tpel.2024.3370599

A Capacitor Fault-Tolerant Scheme for Dual-Active-Bridge DC/DC Converter

2024· article· en· W4392207630 on OpenAlexafffund
Yue Zhang, Nie Hou, Yunwei Li

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Alberta
FundersCanada First Research Excellence Fund
KeywordsCapacitorForward converterDual (grammatical number)Scheme (mathematics)Electrical engineeringCharge pumpComputer scienceĆuk converterFlyback converterDC motorElectronic engineeringControl theory (sociology)Boost converterEngineeringVoltageControl (management)Mathematics

Abstract

fetched live from OpenAlex

Recently, the dual-active-bridge (DAB) DC/DC converters are widely utilized in renewable energy systems. Lots of research on the optimization of DAB converters has been conducted, including novel topologies, modulation schemes, control schemes, and fault-tolerant schemes for active switches or riding-through, etc. However, there is a limited fault-tolerant scheme developed for capacitor failure in DAB converters so far, due to the low-device redundancy. To address this important issue, a capacitor fault-tolerant scheme is proposed in this paper. With the proposed scheme, the DAB converter can maintain power transfer sustainability even if the port capacitors break down. Besides, potential voltage spikes can also be suppressed by the proposed scheme when the snubber function of port capacitors is lost. Subsequently, the modulation scheme, topology characters, and control scheme are elaborated in this paper. Finally, the experimental results based on a scale-down laboratory prototype are presented to verify the feasibility of the proposed fault-tolerant scheme.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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 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

Citations6
Published2024
Admission routes2
Has abstractyes

Explore more

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