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Record W1972473550 · doi:10.1109/itec.2012.6243415

Range prediction for a three-wheel plug-in hybrid electric vehicle

2012· article· en· W1972473550 on OpenAlexaff
Nicolas Denis, Maxime R. Dubois, Karol Angarita Gil, Thomas Driant, Alain Desrochers

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsRange (aeronautics)Automotive engineeringElectric vehiclePlug-inComputer scienceBattery electric vehicleDriving cycleMode (computer interface)Single-phase electric powerTopology (electrical circuits)EngineeringElectrical engineeringVoltagePower (physics)PhysicsAerospace engineering

Abstract

fetched live from OpenAlex

Plug-in hybrid electric vehicles (PHEV) may carry a high amount of embedded electrical energy and provide the possibility to recharge it while not running. As a consequence, they will exhibit a relatively long range in full electric mode. Many kind of electric or hybrid vehicles are available or about to be developed. This paper presents a new concept of a three wheel recreational PHEV and its achievable performance. It will first describe the topology and model of the vehicle, and will provide results on its all electric range (AER) over a normalized drive cycle.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.343

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 head0.019
GPT teacher head0.255
Teacher spread0.235 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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