Development of hybrid electric heavy-duty truck with self-propelled trailer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new architecture of hybrid drivetrain for tractors and semi-trailers is proposed. The goal is to utilise the maximum capability of the hybrid electric tractor and semi-trailer and to enhance the traction and fuel consumption efficiencies. This drivetrain architecture employs a self-propelled trailer so that the tractive effort is shared between the tractor and the semi-trailer. A comprehensive model of the vehicle, including the drivetrain model, is developed and a fuzzy logic controller (FLC) is used to design the power management system (PMS). Simulation runs of the computer model are performed on two standard driving cycles to evaluate both the traction efficiency and fuel consumption of the proposed hybrid drivetrain architecture. The comprehensive results obtained indicate that the proposed self-propelled trailer drivetrain presents a superior advantage over the non-hybrid drivetrains and also the typical hybrid drivetrain for heavy vehicles.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it