Optimization of Flux Switching Permanent Magnet Motor to enhance the traction of an Electric Vehicle
Bibliographic record
Abstract
There is a rising outcry of environmental pollution and the resulting effect of global warming caused by the use of fossil energies, there is a need for the introduction of highly efficient electric machines for propulsion and traction of the moving part with the increasing global acceptance of electric vehicles and advance machineries. This paper proposed a way to optimize the stator flux switching permanent magnet motor (FSPM) by the introduction of two dual slot additional rotors that are staged 180 degrees apart. The structure, electromagnetic properties and the phase direction of rotation of the proposed permanent magnet machine were investigated at different phase angle. Background study on the mode structure of establishing the proposed topology of one stator and two rotors instead of the conventional one rotor for the motor operation was done. With attention paid to the losses on the stator and rotor, finite element method was used to establish the structure of the proposed permanent magnet machine. The load simulation of the electromagnetic properties was investigated using FEMM 4.2 and Ansys Maxwell to show the advantages of the proposed machine topology to allowing higher electric loading to increase power density in electric vehicles.
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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 | 0.001 |
| 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".