MétaCan
Menu
Back to cohort
Record W2006686507 · doi:10.1109/itec.2014.6861782

Flux-weakening loop design for EV drive with permanent magnet synchronous motor

2014· article· en· W2006686507 on OpenAlexaff
Quanrui Hao, Diego Mascarella, G. Joós

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsControl theory (sociology)Limit (mathematics)Loop (graph theory)Flux (metallurgy)Magnetic fluxPhysicsSynchronous motorPower (physics)MagnetTraction motorCurrent loopTraction (geology)Permanent magnet synchronous generatorVoltageComputer scienceEngineeringElectrical engineeringMathematicsMagnetic fieldMechanical engineeringMathematical analysisMaterials science

Abstract

fetched live from OpenAlex

This paper designs a universal flux-weakening loop which enables the realization of the maximum speed in both cases: when the center of the voltage limit circle lies inside and outside of the current limit circle. This flux-weakening loop can be implemented in PMSM traction drives which require frequent switching between maximum power and continuous power modes by changing the current limit. Simulation results are shown to validate the effectiveness of the proposed universal flux-weakening loop.

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: Methods · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.612

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 head0.008
GPT teacher head0.187
Teacher spread0.180 · 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
GenreMethods

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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicElectric Motor Design and AnalysisFrench-language works237,207