Multi Objective Optimization Design of U-type Modular Double-Stator Switched Reluctance Motor in Electric Vehicles
编号:3 访问权限:仅限参会人 更新:2022-02-28 12:54:27 浏览:205次 口头报告

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摘要
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.
关键词
switched reluctance motor,electric vehicle application,multi objective optimization
报告人
Hao Chen
Professor China University of mining and technology

稿件作者
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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重要日期
  • 会议日期

    05月26日

    2022

    05月27日

    2022

  • 05月03日 2022

    初稿截稿日期

  • 05月26日 2022

    报告提交截止日期

  • 05月28日 2022

    注册截止日期

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