Evaluation of Powertrain Architectures for McMaster EcoCAR EV Considering Traditional Electric Machines and Switched Reluctance Machines
Bibliographic record
Abstract
There is an increased focus on electrifying powertrains for use in light duty vehicles. All-wheel drive architectures for electric vehicles are covered heavily in literature, with various configurations considered. Existing powertrains often focus on the use of interior permanent magnet motors and induction machines with limited consideration for switched reluctance machines, leaving a gap for a more comprehensive assessment on their use for traction applications. This paper addresses this gap by conducting a systemic evaluation of different all-wheel drive powertrain architecture configurations with the goal of integrating one architecture into a rear-wheel drive 2023 Cadillac LYRIQ. The results indicate the viability of a rare earth metal free architecture using a switched reluctance machine as the primary drive unit, having comparable performance within 12-16% of stock LYRIQ variants in key metrics including energy consumption, range, and peak power.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".