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Record W4392979937 · doi:10.1109/tpel.2024.3379858

Full Range Operation of Simplified Flying-Capacitor Three-Cell Inverters With Five to Eight Output Voltage Levels

2024· article· en· W4392979937 on OpenAlexaff
Mingzhe Wu, Kui Wang, Kehu Yang, Feng Zhao, Yunwei Li, Yongdong Li

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Alberta
FundersNatural Science Foundation of Beijing MunicipalityNational Natural Science Foundation of China
KeywordsVoltageControl theory (sociology)Range (aeronautics)Electronic engineeringComputer scienceElectrical engineeringEngineeringControl (management)

Abstract

fetched live from OpenAlex

Compared with the conventional flying capacitor multicell converters, simplified FCMC converter family has a significantly reduced number of flying capacitors (FCs) with a much higher power density. However, such simplification results in a limited number of redundant switching states, which makes the balancing of FC voltages a very challenging task that confines their valid operation range. In this article, a modified carrieroverlapped PWM is proposed for simplified FC three-cell (SFC3C) converters with five to eight output voltage levels to achieve full modulation index and power factor range operation. For SFC3C converters operate under five to seven-level cases, where one or more degrees of switching state redundancy exist, the FC voltages are regulated by adjusting the correspondence between carriers and switches for optimal state selections. For SFC3C converters operate as eight-level case with no redundancy, the FC voltages can be balanced naturally with the fixed relationship between the carriers and switches. An active control by dwell time adjustment is used for better regulating the FCs. Experimental results verify the validity of the proposed method.

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 score0.944
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 integrity0.0000.000
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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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 routes1
Has abstractyes

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