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Record W2019840001 · doi:10.4271/2012-01-1987

Evaluation of Class 7 Diesel-Electric Hybrid Trucks

2012· article· en· W2019840001 on OpenAlexafffundabout
Anthony Proust, Marius-Dorin Surcel

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2012
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsFPInnovations
FundersMinistère des Transports
KeywordsTruckAutomotive engineeringDiesel fuelClass (philosophy)Computer scienceEnvironmental scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">The objectives of this project were to evaluate the reduction in fuel consumption and greenhouse gas (GHG) emissions made possible by hybrid technology, and to identify good driving habits with this type of vehicle. Two diesel-electric hybrid pick-up and delivery trucks and one diesel-electric hybrid utility vehicle equipped with an electric driven PTO (power take-off) system were included in the project.</div><div class="htmlview paragraph">The first phase was the evaluation in actual operating conditions. Onboard computers were installed in the vehicles to record parameters that make it possible to determine driving habits. Based on operational data, specific duty cycles were built and track tests were conducted to measure the fuel consumption on these duty cycles. It was therefore possible to compare the hybrid trucks with other diesel trucks featuring similar characteristics.</div><div class="htmlview paragraph">The delivery hybrid trucks showed up to 34% fuel savings during the track tests. Achieving major savings will require driving mainly on urban hauling routes, in a not too aggressive manner, to allow the recharge of batteries and electric-assisted power. An appropriate training of drivers is recommended and a best driving practices manual was prepared to that end.</div><div class="htmlview paragraph">For the utility truck, the savings are greater when the PTO time is longer. Compared with the conventional control diesel vehicle, track tests showed 11% fuel improvement for a duty cycle composed of 67% driving time and 33% PTO time, and 19% fuel improvement for the duty cycle with 50% driving time and 50% PTO time.</div><div class="htmlview paragraph">The project confirmed the potential of this technology to reduce fuel consumption and GHG emissions, even though it was generally slightly below the 30% savings reported by hybrid truck manufacturers. The GHG reduction for these trucks was evaluated at between 2 to 5.4 tonnes, based on an annual distance in kilometres of 17,620 km, which corresponds to the average annual distance travelled by a medium-duty truck in the Province of Quebec (Canada).</div></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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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

Citations6
Published2012
Admission routes3
Has abstractyes

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