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Robustness optimization for the powertrain mounting system of electric vehicle considering parametric uncertainty and correlation
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Hui LYU1, Jiaming ZHANG1, Xiaoting HUANG2, Wenbin SHANGGUAN1, Guoquan XIAO1
Journal of Vibration Engineering | 2025, 38(2) : 375 - 382
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Journal of Vibration Engineering | 2025, 38(2): 375-382
Robustness optimization for the powertrain mounting system of electric vehicle considering parametric uncertainty and correlation
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Hui LYU1, Jiaming ZHANG1, Xiaoting HUANG2, Wenbin SHANGGUAN1, Guoquan XIAO1
Affiliations
  • 1.School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
  • 2.School of Automobile and Traffic Engineering, Guangzhou City University of Technology, Guangzhou 510800, China
Published: 2025-02-10 doi: 10.16385/j.cnki.issn.1004-4523.2025.02.016
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This study addresses the complex scenario where the parameters of the powertrain mounting system (PMS) of an electric vehicle exhibit both uncertainty and correlation. A robust design optimization method for the PMS, considering parametric uncertainty and correlation, is investigated. Firstly, based on Nataf transform and Monte Carlo sampling, the Nataf-Monte Carlo(NMC) method is proposed for the uncertainty and correlation analysis of PMS inherent characteristics, where the probabilistic parameters are correlated. Then, an efficient method, the Nataf-arbitrary polynomial chaos expansion (NAPCE) method, is derived for PMS response analysis by integrating Nataf transformation with arbitrary polynomial chaos expansion. Next, based on the NAPCE method and correlation coefficient weighting method, a robust design optimization method for PMS is developed, accounting for the uncertainty and correlation of responses. Finally, a numerical example is used to verify the effectiveness of the proposed method, and the robust optimization of the system is carried out. The results show that, compared to the NMC method, the NAPCE method offers good computational accuracy and efficiency for analyzing uncertainty and correlation in PMS responses. The proposed optimization method can configure the PMS parameters reasonably and improve the robustness of system.

electric vehicle  /  powertrain mounting system  /  Nataf transformation  /  arbitrary polynomial chaos expansion  /  robustness optimization
Hui LYU, Jiaming ZHANG, Xiaoting HUANG, Wenbin SHANGGUAN, Guoquan XIAO. Robustness optimization for the powertrain mounting system of electric vehicle considering parametric uncertainty and correlation[J]. Journal of Vibration Engineering, 2025 , 38 (2) : 375 -382 . DOI: 10.16385/j.cnki.issn.1004-4523.2025.02.016
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Year 2025 volume 38 Issue 2
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2025.02.016
  • Receive Date：2023-03-07
  • Online Date：2026-02-11
  • Published：2025-02-10
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  • Received：2023-03-07
  • Revised：2023-04-27
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Affiliations
    1.School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China
    2.School of Automobile and Traffic Engineering, Guangzhou City University of Technology, Guangzhou 510800, China
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