Advanced Modelling and Performance Evaluation of Hydrogen-Powered Heavy Haul Locomotive
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In recent years, there have been significant activities in the development of hybrid, battery electric and alternative fuel (e.g., LPG, LNG, CNG) locomotives. However, to date there is a limited number of publications on the usage of such modelling and simulation approaches for hydrogen-powered rail vehicles, and almost no publications on hydrogen-powered heavy haul locomotives. A conceptual heavy haul hydrogen-powered locomotive has been designed and studied with the application of advanced simulation techniques used in recent locomotive/train/track damage studies. The detailed locomotive model includes multibody subsystems for the mechanical system of the locomotive and a traction power system implemented in the Matlab/Simulink software package. The traction performance evaluation has been performed through the delivery of traction effort characteristics of the proposed locomotive through co-simulation between multibody software and Matlab/Simulink and the evaluation of locomotive traction performance in a train configuration where the developed hydrogen-powered locomotive has been placed in a head-end locomotive consist for hauling a heavy haul train. The paper presents a summary of the simulation results, and detailed discussion of the limitations that have been identified in the approach.
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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 | 0.001 | 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 | 0.000 | 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