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Composite DC-DC Converter with Bipolar/bidirectional Current-Fed Push-pull Voltage Regulator

2021· article· en· W4206977988 on OpenAlexaff
Tiago Miguel Klein Faistel, Henrique Jank, Gustavo Colpes Ribeiro, Mário Lúcio da Silva Martins, Luiz A. C. Lopes

Bibliographic record

Venue2021 Brazilian Power Electronics Conference (COBEP) · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsTransformerElectrical engineeringCapacitorDuty cycleVoltageForward converterVoltage regulatorFlyback converterConvertersComputer scienceEngineeringBoost converter

Abstract

fetched live from OpenAlex

This paper presents a power converter to interface an extra low voltage bus, ELV (48 V) and a low voltage bus, LV (380 V) in a residential dc-dc nanogrid of 1.2 kW. The proposed converter makes use of a composite structure where a DC transformer (DCX converter) handles the major amount of the processed power between the DC buses. DCX is design to operate at a fixed duty-cycle where the transformer turns-ratio is optimized to ensure the lowest conduction losses. To provide voltage regulation to ELV bus, a parallel voltage regulator (DCR) is employed. The power handled by the DCR is proportional to its input voltage across capacitor$C$1.1Results from a 1.2 kW laboratory prototype confirm the feasibility of the proposed composite converter and reveals that it is a strong candidate for DC-DC applictations with a narrow volage regulation range.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.216
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2021
Admission routes1
Has abstractyes

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Same venue2021 Brazilian Power Electronics Conference (COBEP)Same topicAdvanced DC-DC ConvertersFrench-language works237,207