A comparative study of synchronous reluctance machine performance with different pole numbers for automotive applications
Bibliographic record
Abstract
This paper presents a comparative study on the effects of the number of poles on the synchronous reluctance machine's magnetic and mechanical performances for automotive applications. In automotive applications the design limitations i.e., proper size, maximum speed, torque envelope, and converter rating make the design sensitive to magnetic and geometric parameters such as the number of poles. Low torque ripple requirement for traction motors leads to the number of poles higher than two. From a rotor geometry point of view the number of poles higher than six would not be feasible in today's compact traction motors. Two different motor alternatives using 4 and 6 poles have been designed using a sizing methodology. In this work, machines equipped with transversally laminated anisotropic rotors. Magnetic and mechanical performances of the machines are analyzed and compared with regards to the design requirements. Finally, the proper design alternative will be addressed for automotive applications.
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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".