Implementation of Series-Parallel Multiple-Regime Vehicle Architecture Using 2013 Chevrolet Malibu Platform
Bibliographic record
Abstract
The focus of this paper is the process of implementation and integration of a series-parallel multiple-regime plugin hybrid electric vehicle (PHEV) using a 2013 Chevrolet Malibu as a platform. The University of Victoria EcoCAR team used a 3-year vehicle development process (VDP) modeled after those used by major automotive manufacturers, and maintained by the rules of EcoCAR 2: Plugging into the Future. Intensive research and simulation resulted in selection of UVic's series-parallel multiple regime vehicle architecture during year 1 of the EcoCAR2 competition. Detailed mechanical design refinement has been conducted to allow final fabrication and integration of components. This has included detailed structural analysis and comparison with the stock vehicle, dynamic analysis of vehicle suspension changes, and manufacturability and serviceability improvements to the year 1 vehicle design. Simulation and modeling work to improve the realism of the vehicle simulation for the purposes of control system development was also conducted. Control system development has been focused around moving vehicle control strategies into a more realistic state, including component diagnostics and mitigating strategies resulting from DFMEA (Design Failure Mode Effects Analysis) work results.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".