Design and development of a plug-in by-wire(less) hydrogen internal combustion engine extended range electric vehicle
Bibliographic record
Abstract
In recent decades there has been a growing global concern with regards to vehicle-generated green house gas (GHG) emissions and the resulting air pollution. In response, automotive OEMs focus their efforts on developing ldquogreenerrdquo propulsion solutions in order to meet the societal demand and ecological need for clean transportation. Although many automotive experts continue to believe that the hydrogen economy is the future of transportation, there are a number of problems that must be first solved, such as for example a method for clean hydrogen generation, an infrastructure for fuel distribution, and a reduction in costs of hydrogen fuel cells. In this context, our project aims to develop a vehicle which would effectively combine the benefits of plug-in electric vehicle technology such as drive-by-wire capabilities, regenerative braking and electric hub motors with the cleaner burning characteristics of a hydrogen internal combustion engine (H-ICE) based range extender. The hydrogen ICE is advantageous when compared to a hydrogen fuel cell in that it costs significantly less. As such the hydrogen ICE and the extended range electric vehicle (E-REV) architecture are well suited to meet the needs of the automotive industry in the near term by reducing overall GHG emissions, allowing for zero emissions travel during short trips, and by offering a feasible cost effective alternative to the waning supply of petroleum based fuels. The vehiclepsilas electrical systems such as steering, braking, and acceleration will operate wirelessly where possible with a redundant wired connection.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".