Research on Dynamic Simulation of Eight Degrees of Freedom Automobile Model

QUE Xiaoyu; TIAN Guoying; FANG Tao; WEN Ke; YE Hao

Volume 34 Issue 4

Dec. 2020

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Article Navigation > Journal of Shanghai University of Engineering Science > 2020 > 34(4): 337-345

QUE Xiaoyu, TIAN Guoying, FANG Tao, WEN Ke, YE Hao. Research on Dynamic Simulation of Eight Degrees of Freedom Automobile Model[J]. Journal of Shanghai University of Engineering Science, 2020, 34(4): 337-345.

Citation:

QUE Xiaoyu, TIAN Guoying, FANG Tao, WEN Ke, YE Hao. Research on Dynamic Simulation of Eight Degrees of Freedom Automobile Model[J]. Journal of Shanghai University of Engineering Science, 2020, 34(4): 337-345.

Citation:

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Research on Dynamic Simulation of Eight Degrees of Freedom Automobile Model

QUE Xiaoyu^{a, b
,},
TIAN Guoying^{a, b
,
,},
FANG Tao^{a, b},
WEN Ke^{a, b},
YE Hao^{a, b}

a.
School of Transportation and Automotive Engineering
b.
Sichuan Engineering Research Center of Intelligent Control and Simulation Test Technology for New Energy Vehicles, Xihua University, Chengdu 610039, China

Received Date: 2020-05-10
Publish Date: 2020-12-30

Abstract

Abstract

The vehicle vibration system is a very complex system. In order to accurately reflect the vibration of the whole vehicle, based on certain assumptions, the eight degrees of freedom vibration model for a car was established by using Newton method in Matlab software. Based on the analysis of vehicle dynamic response characteristics in time domain, a four-wheel correlation road model was established based on filtered white noise and the second-order Pade algorithm. The accuracy of the road surface was verified, and it was used as the excitation input to the vehicle vibration model. The Newmark explicit integration method was used to solve the problem. The time-domain signal of each response was transformed into the frequency-domain response signal, and compared with the frequency-domain simulation of the vibration system. The results show that the model has good reliability and fast solution speed. Furthermore, the influences of the position of body mass center, suspension stiffness, tire stiffness and suspension damping on the comfort of driver and body centroid were further studied. Based on the original vehicle parameters, suggestions for improving vehicle comfort were put forward.
- riding comfort,
- vehicle,
- second-order Pade algorithm,
- Newmark explicit integration

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References(19)

References

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