Feasibility Study of a Heavy-duty Tractor - Motorized Semi-trailer Hybrid Electric Combination
Notice bibliographique
Résumé
The objective of this study was to evaluate the concept of a heavy-duty tractor - motorized semi-trailer hybrid electric combination, which would have electric drive axles on the semi-trailer. The scope of the project included an analysis of the general concept of a power-driven semi-trailer, the positioning of the concept of the heavy-duty tractor - motorized semi-trailer hybrid electric combination in the general context of the technology, and the evaluation of the applicability of the concept for different duty cycles. Several transport activities were analyzed to determine specific duty cycles for heavy-duty vehicles: highway line haul and regional haul, construction haul, and off-highway hauling of raw materials, such as forestry transport with Class 8 and off-highway tractor-trailer combinations. The concept of a heavy-duty tractor - motorized semi-trailer hybrid electric combination was compared with a corresponding conventional combination (conventional tractor and semi-trailer), and with a combination of a parallel hybrid electric tractor with a conventional semi-trailer. PSAT simulations were conducted to evaluate the fuel efficiency and the influence on traction and stability was evaluated for each representative duty-cycle. The simulation results generally predict comparable fuel efficiencies for the heavy-duty tractor - motorized semi-trailer hybrid electric combination, and the correspondent parallel hybrid electric tractor with conventional semi-trailer combination. Depending on the duty-cycle, both hybrid versions would offer substantial fuel savings when compared to the conventional tractor-semi-trailer combination, such as up to 30% for off-highway hauling of raw materials. The analysis of traction performances showed evident gains both in tractive force and gradeability for the motorized semi-trailer. Moreover, the use of motorized axles on the semi-trailer would improve the longitudinal stability of the vehicle combination by decreasing the potential for sliding, especially in off-highway conditions. The evaluation of the impact on greenhouse gas emissions shows that the electric motorized semi-trailer concept would offer important annual reductions for all the analyzed transport activities, with generally attractive payback periods. Exemplifying for the off-highway hauling of raw materials using off-highway vehicles, GHG emissions reduction would be up to 108 tons/year per vehicle combination, with a payback period as low as 18 months, which is explained by very important quantitative fuel savings coupled with a relatively moderate increase in vehicle purchase costs. However, for highway and regional haul, the relative increase of the semi-trailer cost by a factor of three would make the concept unattractive. The concept of a heavy-duty tractor - motorized semi-trailer hybrid electric combination would offer the best dynamic, environmental, and economical advantages when implemented for off-highway transport of raw materials, such as forestry or mining transport, for which the relative cost increases are acceptable and payback periods are relatively short.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».