Double Segmented Rotor Switched Reluctance Machine With Shared Stator Back-Iron for Magnetic Flux Passage
Bibliographic record
Abstract
There is much interest in double rotor electric machines due to their versatile configurations and performance characteristics arising from the flexibility of having a pair of rotors. Double rotor machines show promising application prospects in advanced hybrid electric vehicle powertrains due to the requirement of dual electromechanical ports in such systems. Integrating these powertrain systems with double rotor machines not only brings design freedom in component layout, but also reduces the number of parts and thus improves compactness. The switched reluctance family of double rotor machines offers unique characteristics in terms of simple structure and no permanent magnets and thus is a strong candidate for such applications. By introducing the segmented rotor design to double rotor switched reluctance machines, a unique design with shared stator back-iron is made possible, achieving increased machine compactness. This paper discusses the design, analysis, and experimental validation of a double segmented rotor switched reluctance machine and compares the design against a target double rotor SRM specification.
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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) | 0.001 | 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".