Robust optimization of the powertrain mounting system of a big mini passenger car

Weichun Hou; Yongli Sun; Hongtao Yang

doi:10.1117/12.2672179

21 March 2023 Robust optimization of the powertrain mounting system of a big mini passenger car

Weichun Hou, Yongli Sun, Hongtao Yang

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126091K (2023) https://doi.org/10.1117/12.2672179
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

In this paper, the ISIGHT software is used to decouple and optimize the powertrain mounting system (PMS) of a big mini passenger car and a six degrees of freedom (DOF) rigid body model of the PMS is established. The robust optimization model of the PMS is presented aiming at maximizing the decoupling ratios of the PMS, and the stiffness and the position parameters of each mount are selected as design variables. The statistic properties of the optimization objective and constraints are calculated using the first order Taylor series expansion. The robust optimization model is solved by combining the Modified Feasible Direction and Mixed Integer Optimization algorithms. Monte Carlo simulation is conducted to perform robustness analysis of the PMS by regarding the optimal variables as normal distribution random ones. The simulation results verify the robustness of the optimization results.

Citation Download Citation

Weichun Hou, Yongli Sun, and Hongtao Yang "Robust optimization of the powertrain mounting system of a big mini passenger car", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126091K (21 March 2023); https://doi.org/10.1117/12.2672179

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