Multi Objective Optimization Design of U-type Modular Double-Stator Switched Reluctance Motor in Electric Vehicles
ID:3 Submission ID:6 View Protection:ATTENDEE Updated Time:2022-02-28 12:54:27 Hits:383 Oral Presentation

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Abstract
Switched reluctance motor (SRM) and its control system, after decades of development, has been better established. Its inherent merits such as simple and sturdy structure and high reliability could contribute to its excellent running performance and high performance/cost ratio for electric vehicle application. A U-type modular double-stator SRM (DSSRM), which has the merit of high power density is optimized in this paper. Taking average torque, torque smoothing coefficient and efficiency as objectives, sensitivity analysis on DSSRM is investigated and discussed to select significant geometric variables. On the basis of the initial structural parameters, the multi objective optimization design is processed by adopting a fuzzy iteration optimization algorithm with weight determination. After the determination of decision result of each structure parameter, the best dimension scheme of the DSSRM is concluded. Moreover, the final scheme proves to perform better than the initial scheme by finite element (FE) analysis. Finally, a prototype motor is manufactured and the experimental results validate the improvement of the DSSRM performance.
Keywords
switched reluctance motor,electric vehicle application,multi objective optimization
Speaker
Hao Chen
Professor China University of mining and technology

Submission Author
Hao Chen China University of mining and technology
Fengyuan Yu China University of mining and technology
Wenju Yan China University of Mining and Technology
Daqing Zou Jiangsu Alternative Energy Vehicle Research Institute
Mohamed Orabi Aswan University
Alecksey Anuchin Moscow Power Engineering Institute
Hossein Torkaman Shahid Beheshti University
Galina Demidova ITMO University
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