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icemd2024
Surrogate and Correlation- based Optimization of Out-Rotor PMSM: A Case Study on e-Bike with Enhanced Halbach Array
نویسندگان :
Ali Amini
1
Hamidreza Haghighat
2
Abolfazl Vahedi
3
1- School of Electrical Engineering, Iran University of Science and Technology
2- School of Electrical Engineering, Iran University of Science and Technology
3- School of Electrical Engineering, Iran University of Science and Technology
کلمات کلیدی :
Multi-physics Optimization،Surrogate Model،Outer rotor permanent magnet synchronous motors (ORPMSM)،Halbach arrays،demagnetization
چکیده :
The growing demand for eco-friendly transportation has significantly increased the popularity of electric bicycles. This paper focuses on the optimization and design of an outer rotor permanent magnet synchronous motor (ORPMSM) for electric bicycle applications. The design challenges include such as torque ripple, cogging torque, and efficiency. A multi-objective optimization approach, combining the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and a surrogate model, is employed to enhance both electrical and mechanical performance. The results demonstrate considerable improvements in torque density, efficiency and reduced cogging torque. Furthermore, the use of a modified Halbach array in the rotor design minimizes demagnetization effects under severe operating conditions, leading to increased reliability and performance. The optimized motor design was validated through Finite Element Method (FEM) simulations, demonstrating a close match with the optimization results.
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