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Record W2889555031 · doi:10.1109/itec.2018.8450210

Design of a 5-Phase IPM Machine for Electric Vehicles

2018· article· en· W2889555031 on OpenAlexaff
Omid Beik, Rong Yang, Ali Emadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsStatorTorqueBenchmark (surveying)Rotor (electric)Electric machineMagnetTorque densityCopper lossMachine designAutomotive engineeringThree-phasePower factorComputer scienceEngineeringMechanical engineeringElectrical engineeringVoltagePhysics

Abstract

fetched live from OpenAlex

This paper presents the design of a 5-phase interior permanent magnet (IPM) machine for electric vehicle (EV) applications. The Nissan Leaf IPM machine is chosen as the benchmark system against which two designs are developed, 3- and 5-phase machines. The developed machines utilize the same rotor topology as the benchmark machine and adopt a 60-slot stator configuration to facilitate a short-pitch fractional-slot winding scheme. However, the machine total mass, volume, and copper utilization is maintained the same in all designs. Compared to the 3-phase IPM, the 5-phase design results in increased average torque due to improved winding factor hence improved machine power density while maintaining the same total machine ampere-turns and copper losses to ensure the same thermal performance. The study will discuss the improvement in torque and speed capability and present the comparison in loss and efficiency at the machine base speed.

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 score0.954
Threshold uncertainty score0.286

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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