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Pack U-Clamped Cell (PUCC): A New Multifunctional Multilevel Inverters for Energy Storage Application

2025· article· W4416964214 on OpenAlexafffund
Omid Zolfagharian, Mohsin Jamil

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsBrock UniversityMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTransformerInductorInverterEnergy storageTopology (electrical circuits)Modulation (music)ExploitPower (physics)

Abstract

fetched live from OpenAlex

This study introduces a novel multilevel inverter topology, the pack U-clamped cell (PUCC), which enables to provide single DC source multilevel inverter by different graph structure compared to the cascaded H-bridge multilevel inverters. This structure by providing a clamped connection can bring opportunities that do not exist in CHB-MLIs. By replacing a couple inductor or transformer in clamped connection this topology can integrate multilevel inverter energy storage to exploit the exceed power of renewable energy sources to charge batteries. The transformer does not make any disturbances in multilevel inverter function. In this study a flexible vector-based modulation technique called one-dimensional space vector modulation OD-SVM has been considered to charge battery storage through zero-voltage crossing of multilevel inverter. Simulation and experimental results show the performance of the PUCC and it OD-SVM modulation technique.

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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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