Proposing an External Rotor In-Hub PM Assisted Synchronous Reluctance Motor for an E-Bike
Bibliographic record
Abstract
In recent years, permanent magnet (PM) motors have commercialized light electric vehicles. Due to the high cost of rare-earth PMs and environmental side effects, the structures without or with the low number of PMs that maintain the application constraints can be a good choice. The synchronous reluctance motors (SynRM) can be a proper candidate for this application. Choosing a good value for the number of flux barriers and their end position can reduce the torque ripple. To, assist the synchronous reluctance motor in improving its capabilities, especially torque density and power factor, low number of PMs can be inset in the flux barriers. This paper proposes designing and optimizing an external rotor permanent magnet in-wheel PM-assisted SynRM (PMaSynRM) for an electric bicycle application. The rotor two-barriers and three-barriers structures with different PMs, i.e., rare-earth and Ferrite and without PM (SynRM) are comprehensively investigated by finite element analysis (FEA) in both skewed and non-skewed stator in terms of average torque and torque ripple. Finally, the design concepts are validated with a prototype machine.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".