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Record W1982675716 · doi:10.1109/icelmach.2012.6349901

Outer rotor switched reluctance motor design for in-wheel drive of electric bus applications

2012· article· en· W1982675716 on OpenAlexaff
Anas Labak, Narayan C. Kar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSwitched reluctance motorRotor (electric)Torque rippleAutomotive engineeringTorqueFinite element methodReluctance motorEngineeringComputer scienceControl theory (sociology)Induction motorVoltageDirect torque controlMechanical engineeringElectrical engineeringPhysicsStructural engineering

Abstract

fetched live from OpenAlex

In this era of electrified transportation, switched reluctance motor (SRM) is emerging as a prospective replacement to traditional electric motors especially for large heavy duty vehicles such as the electric bus. This paper proposes the design and analysis of a novel outer rotor in-wheel SRM. The integration of the motor housing inside the wheel rim saves significant space and eliminates the need for additional mechanical parts used in the centralized drive. The developed concept of short flux path configuration in this research manuscript has shown additional important features compared to previous SRM designs and a substantial increase in efficiency is reported. The procedures of deriving the output power equation as a function of the motor dimensions and parameters are explained in detail. Comparative finite element analysis (FEA) has been performed between the developed machine and a commercially available conventional SRM to elicit the merits of the developed machine. The results obtained through FEA investigations show that there is a reduction of torque ripple and a considerable increase in motor efficiency.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 designBench or experimental
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

Citations25
Published2012
Admission routes1
Has abstractyes

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