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Record W3024617782 · doi:10.1049/iet-pel.2020.0117

Novel high gain DC–DC converter based on coupled inductor and diode capacitor techniques with leakage inductance effects

2020· article· en· W3024617782 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

VenueIET Power Electronics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of New Brunswick
FundersVillum Fonden
KeywordsInductorLeakage inductanceBoost converterCapacitorDuty cycleInductanceĆuk converterElectrical engineeringDiodeElectronic engineeringHigh voltageForward converterVoltageMaterials scienceEngineering

Abstract

fetched live from OpenAlex

In this study, due to the low output voltage that often is presented by renewable energy sources like photovoltaic panels, a single switch high step‐up dc–dc converter with high efficiency is proposed. The presented step‐up dc–dc converter uses a coupled inductor and diode‐capacitor technique to achieve high voltage gain. By changing the turns ratio of the coupled inductor, this novel topology does not need to operate at a high duty cycle conditions to obtain the high voltage gain. Moreover, the leakage inductance energy of the coupled inductor is recovered by using two passive clamp circuits to reduce the stress across the semiconductor devices, which improve efficiency. The operating modes of the proposed converter and the theoretical analysis are considered and finally, a prototype setup has been implemented to accredit the accuracy of the theoretical and simulation analysis.

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 categoriesMeta-epidemiology (narrow)
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 score0.664
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 head0.005
GPT teacher head0.185
Teacher spread0.181 · 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