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A Novel Method for Comprehensive Quality and Reliability Optimization of High-Power DC Actuators for Renewable Energy Systems

Author

Listed:
  • Jie Deng

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Nan Gang District, Harbin 150001, China)

  • Hao Chen

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Nan Gang District, Harbin 150001, China)

  • Xuerong Ye

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Nan Gang District, Harbin 150001, China)

  • Huimin Liang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Nan Gang District, Harbin 150001, China)

  • Guofu Zhaia

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Nan Gang District, Harbin 150001, China)

Abstract

To better qualify various uncertainties in design and manufacturing, as well as to understand the time-varying degradation process, a novel method of quality and reliable design and optimization for high-power DC actuators was developed in this study that considered relevant uncertainties in design, manufacturing parameters, and the degradation process. Orthogonal transformation was used to normalize heterogeneous uncertainties and the results were quantitatively described by the hyperellipsoid set model. On the basis of the uncertainty quantitative relationship, a fast substitution model was developed for high-power DC actuators with permanent magnet output characteristics of strong non-linearity and insufficient accuracy. The response surface method was used to derive the basis function, and the error between the practical measured values and the calculation values was modified by the radial basis function model. Afterwards, a life cycle global sensitivity analysis method was put forward to determine the design parameters when parameter degradation existed during the life cycle of high-power DC actuators. Then, an optimization model was established considering parameter uncertainties and reliability constraints, and the particle swarm algorithm was used to obtain the solution. Finally, the effectiveness of the proposed method was verified by a case study of high-power DC actuators in electric vehicles.

Suggested Citation

  • Jie Deng & Hao Chen & Xuerong Ye & Huimin Liang & Guofu Zhaia, 2019. "A Novel Method for Comprehensive Quality and Reliability Optimization of High-Power DC Actuators for Renewable Energy Systems," Energies, MDPI, vol. 12(19), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3633-:d:270083
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    References listed on IDEAS

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    1. Hui Hou & Mengya Xue & Yan Xu & Jinrui Tang & Guorong Zhu & Peng Liu & Tao Xu, 2018. "Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation," Energies, MDPI, vol. 11(12), pages 1-19, November.
    2. Jiawei Yao & Yongming Zhang & Zhe Yan & Li Li, 2018. "A Group Approach of Smart Hybrid Poles with Renewable Energy, Street Lighting and EV Charging Based on DC Micro-Grid," Energies, MDPI, vol. 11(12), pages 1-17, December.
    3. Kangda Chen & Fuquan Zhao & Han Hao & Zongwei Liu, 2018. "Synergistic Impacts of China’s Subsidy Policy and New Energy Vehicle Credit Regulation on the Technological Development of Battery Electric Vehicles," Energies, MDPI, vol. 11(11), pages 1-19, November.
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