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Record W2758535332 · doi:10.1109/sege.2017.8052776

Modeling and simulation of the 2016 Chevy Volt in dual PMSM EV mode

2017· article· en· W2758535332 on OpenAlexaff
Jordan Henry, Ahmed Abdelrahman, Mohamed Z. Youssef

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric and Hybrid Vehicle Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsElectric vehiclePowertrainBattery (electricity)Automotive engineeringVoltVoltagePower (physics)Electrical engineeringHybrid vehicleComputer scienceTorqueDual (grammatical number)EngineeringPhysics

Abstract

fetched live from OpenAlex

In this study, a novel mode l of a Hybrid Electric Vehicle (HEV) based off the 2016 Chevy Volt is implemented and examined. The study will also examine the operation of the modified Series Parallel Hybrid Electric Vehicle (SPHEV) and modeled powertrain components contained within. The 2016 Chevy Volt has six unique modes of operation; however, the dual Permanent Magnet Synchronous Motor (PMSM) EV drive as well as the application of regenerative braking is the area of focus for this initial study. In these modes of interest we will examine the following characteristic outputs of our model: Current in/out of Battery, DC converter low voltage side current, state of charge (SOC) of the battery, Voltage at Both sides of DC-DC converter, Vehicle Torque vs Vehicle Speed and power loss through the DC-DC converter. Observing the simulation results conducted in PSIM10 HEV Design Suite we can support the functionality of the model.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.123

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 head0.016
GPT teacher head0.246
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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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