MétaCan
Menu
Back to cohort
Record W2966212853 · doi:10.1109/compel.2019.8769675

A Passive Cell Capacitor Voltage Control Method for the Current Shaping Modular Multilevel DC/DC Converter

2019· article· en· W2966212853 on OpenAlexaff
Philippe Gray, Peter W. Lehn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCapacitorModular designTopology (electrical circuits)VoltageElectronic engineeringComputer scienceForward converterElectrical engineeringEngineeringBoost converterControl theory (sociology)Control (management)

Abstract

fetched live from OpenAlex

The Current Shaping Modular Multilevel DC/DC Converter (CS-MMC) is a recently proposed converter topology for high step-down dc/dc applications. The converter structure consists of a mixture of current and voltage source submodules (CSM and VSMs) in a single-string arrangement. This topology leverages a novel energy transfer mechanism in which the CSM is employed to shape the string current which is of nearly square-wave waveshape and medium-frequency. In this paper, a novel control method is proposed for the CS-MMC in which the VSM capacitor voltages are passively controlled through the introduction of a freewheeling operating mode for the CSM. This mode ensures that the total energy of the VSM cells is balanced over a switching period. Compared to previous work, the CS-MMC with the control method of this paper features significantly lower number switching operations, partial soft-switching, and higher voltage utilization of the semiconductor devices. In this paper, the operating principles for this control method are presented along with a derivation of key system relations. Finally, simulation and experimental results from a laboratory scale converter system are provided.

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 categoriesnone
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 score0.992
Threshold uncertainty score0.482

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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicHVDC Systems and Fault ProtectionFrench-language works237,207