التفاصيل البيبلوغرافية
| العنوان: |
Optimal Electromagnetic Parameters of SPMSM for Electric Vehicles Based on Genetic Algorithm Technique. |
| المؤلفون: |
Trinh Cong Truong, Thanh Nguyen Vu, Nam Le Hai, Thang Nguyen Duy, Duong Doan Le Quy, Vuong Dang Quoc, Duc-Quang Nguyen, Bao Doan Thanh |
| المصدر: |
International Journal on Electrical Engineering & Informatics; Mar2024, Vol. 16 Issue 1, p137-148, 12p |
| مصطلحات موضوعية: |
GENETIC algorithms, GENETIC techniques, PERMANENT magnet motors, ELECTRIC vehicles, ELECTRIC fields, HYBRID electric vehicles |
| مستخلص: |
In order to achieve the stringent performance objectives of low vibration, high power density, and efficiency, an effective design optimization of electric machines plays an important role in the field of electric vehicles and industries. Conventional optimization methods sometimes suffer from long computation times or are unable to reach a global solution. Firstly, an analytical model is introduced to define required parameters of the proposed motor. Then a novel technique based on the GAs is proposed to optimize the electromagnetic parameters of the surface-mounted permanent magnet synchronous motor (SPMSM), such as reduction of the cost and total losses, improvement of performence of torque, cogging torque, torque ripple, magnetic flux and effeciency. The results before and after optimization are compared together to verify the development method. [ABSTRACT FROM AUTHOR] |
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