MétaCan
Menu
Back to cohort

A New Three-Level Switched Reluctance Motor Drive for Electric Vehicles

2024· article· en· W4403759924 on OpenAlexaff
Nasir Ali, Mehdi Narimani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSwitched reluctance motorReluctance motorAutomotive engineeringElectric motorComputer scienceElectrical engineeringEngineeringRotor (electric)

Abstract

fetched live from OpenAlex

Multilevel power converters have been investigated to improve system-level performance in switched reluctance motor (SRM) drives used in low-voltage applications including electric vehicles. This paper introduces an eight-leg asymmetric three-level power converter that splits the battery into two banks to generate similar operating modes as the conventional three-level asymmetric converters but with improved performance, reduced size, and cost. Unlike the series-connected single battery bank, the proposed split-battery connection offers flexible control and fault tolerance for the SRM drives. The operating modes for the proposed converter are defined, and a current chopping control scheme is presented. The proposed split-battery-driven converter is compared with the standard two-level asymmetric half-bridge converter, and three-level asymmetric converters in terms of cost, efficiency, torque ripple, and current ripple under different operating conditions. The feasibility of the proposed topology is thoroughly tested using a three-phase 12/16 SRM model in MATLAB simulations.

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 score0.947
Threshold uncertainty score0.559

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 head0.017
GPT teacher head0.223
Teacher spread0.205 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicElectric Motor Design and AnalysisFrench-language works237,207