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Record W2274318088 · doi:10.4271/2003-01-1268

Design and Development of the 2003 University of Alberta Hybrid Electric Vehicle

2003· article· en· W2274318088 on OpenAlexaffabout
Clayton Bond, Keith Boyle, N. L. Freeman, Darnell Orr, Darek Brewin, Ray Christenson, Matt Cannon, David Checkel

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2003
Typearticle
Languageen
FieldEngineering
TopicElectric and Hybrid Vehicle Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectric vehicleAutomotive engineeringComputer scienceEngineeringPhysicsPower (physics)

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">The 2003 University of Alberta FutureTruck team is converting a 2002 Ford Explorer to be a pre-transmission, parallel Hybrid Electric Vehicle (HEV). The goals for the FutureTruck competition are to achieve increased fuel economy, while reducing emissions and maintaining the functionality of the stock SUV. The University of Alberta design places a 2.0L Zetec engine, running on E85, in parallel with a Unique Mobility brushless DC motor. In the Explorer the engine and motor will have peak power outputs of 110 kW and 60 kW. The motor will draw electricity from a nominal 200V lithium ion battery pack that is in parallel with ultracapacitor banks. Further modifications integrate this drive train into the vehicle and use control logic to provide a seamless, customer friendly package.</div>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.186
Teacher spread0.177 · 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.

Study designBench or experimental
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

Citations2
Published2003
Admission routes2
Has abstractyes

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