Non-Dominated Sorting Genetic Algorithm Based Investigation of Optimal Odd Slot Numbers for Stator Shifted Fractional-Slot Wound PMSMs

Stator slot shifting is widely implemented in fractional-slot wound permanent magnet synchronous machines for reduction of high spatial harmonic contents resulting in improved efficiency and flux-weakening performance. Existing method involves using twice the number of stator slots present thereby r...

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Bibliographic Details
Main Authors: Mukundan, Shruthi, Dhulipati, Himavarsha, Ghosh, Eshaan, Feng, Guodong, Tjong, Jimi, Kar, Narayan C.
Format: Conference Proceeding
Language:English
Subjects:
Electric vehicles
fractional-slot windings
optimization
permanent magnet synchronous machine
slot-pole combination
winding factor
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Summary:Stator slot shifting is widely implemented in fractional-slot wound permanent magnet synchronous machines for reduction of high spatial harmonic contents resulting in improved efficiency and flux-weakening performance. Existing method involves using twice the number of stator slots present thereby resulting in a winding topology with a coil pitch of 2. However, in this process, many slot-pole combinations, especially with odd slot numbers are neglected. Therefore, this paper proposes a procedure for stator slot shifting for n-phase fractional-slot wound machines considering all feasible slot-pole combinations. The slot-plot combinations are analyzed for performance attributes including winding factor, total harmonic distortion, minimum cogging torque and maximum torque per unit winding losses. Further, a non-dominated sorting genetic algorithm is used for optimal slot-pole selection for each phase number. The resultant machine performance characteristics of a sample best design candidate is verified using experimental data and finite element analysis.
ISSN:2329-3748
DOI:10.1109/ECCE.2019.8913250