Three-Phase 24/16 Switched Reluctance Machine for a Hybrid Electric Powertrain
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents the design process of a 60-kW switched reluctance motor for traction application in a hybrid electric vehicle. The motor has 24 stator poles and 16 rotor poles. A multiobjective optimization method has been employed in the optimization of conduction angles for priority operating points and over the entire operating range. Two objectives, maximizing output torque and minimizing torque ripple, are used in the optimization problem. A comprehensive comparative performance analysis with varying stator pole height, stator taper angle, rotor pole arc angle, and pole shoe shape is also presented. The performance of the proposed motor over the entire operating range has been characterized based on the optimized conduction angles. The finite element analysis results of the machine demonstrate the potential of the proposed motor in hybrid powertrains in terms of output torque, torque quality, and efficiency.
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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 | 0.001 | 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