Optimization design of a powertrain mount-system based on the TPA and genetic algorithm

PAN Gongyu, FU Bowen, WANG Gongqiang, CHEN Qingshuang, ZHU Rui, LI Dong

Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (14) : 279-286.

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PDF(1493 KB)
Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (14) : 279-286.

Optimization design of a powertrain mount-system based on the TPA and genetic algorithm

  • PAN Gongyu1,2, FU Bowen1, WANG Gongqiang1,2, CHEN Qingshuang2, ZHU Rui1, LI Dong1,2
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Abstract

Aiming at the idle jitter problem of a passenger car with front engine front wheeldrive(FF) installation, an optimal design method of its powertrain mount system based on the transfer path analysis(TPA) and genetic algorithm was proposed.By the TPA technology, the inherent characteristics of the mount-system were correlated to the  associated vibration response at target points of the vehicle.Comprehensively utilizing a six degrees of freedom model of the mount-system and considering the decoupling rate and the inherent frequency distribution,a  mount-system optimization mathematical model was established.Then the NSGA-II genetic algorithm was used in the multi-objective optimization and the optimal stiffness parameters were obtained.The optimal results were used to remake the mount-system and to do the test.The experimental results show that the vibration isolation performance of the optimized mount-system is greatly improved, the vibration response is better than that of the original target car, the idling jitter problem of the passenger car is effectively solved, and the effectiveness of the proposed optimization method is verified.

Key words

dynamic stiffness method / energy decoupling / genetic algorithm / stiffness optimization

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PAN Gongyu, FU Bowen, WANG Gongqiang, CHEN Qingshuang, ZHU Rui, LI Dong. Optimization design of a powertrain mount-system based on the TPA and genetic algorithm[J]. Journal of Vibration and Shock, 2021, 40(14): 279-286

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