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author:

Li, Zixu (Li, Zixu.) [1] | Wang, Yunchao (Wang, Yunchao.) [2] | Du, Heng (Du, Heng.) [3] | Hu, Zhichao (Hu, Zhichao.) [4]

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EI

Abstract:

Hydro-pneumatic suspension models built on the ideal-gas (IG) state equation or the traditional Benedict–Webb–Rubin (BWR) real-gas (RG) model cannot accurately predict the variation of gas pressure during suspension movement because the influence of gas hysteresis is ignored. This leads to incorrectly reflecting the properties of suspension and limiting the effect of control methods on the actual suspension system. In this study, the RG multivariate index model considering gas hysteresis is identified and applied. Based on this model, the output force of the suspension cylinder is deduced. Then, the general motion-force models of full-vehicle suspension are derived by applying a vector method based on a six suspension cylinders’ test platform. Further, the stiffness and damping property formulas under different working conditions are discussed. The model's accuracy was verified through sinusoidal excitation tests on a full-vehicle test platform under different frequencies and amplitudes. The maximum discrepancy of gas pressure between prediction results and test data was 0.9%; whereas the maximum discrepancy of roll moment was 0.85%. The results indicate that the full-vehicle suspension models can accurately reflect the influence of gas hysteresis on the performance of a full-vehicle suspension system and be applied in confidence. © 2021 Elsevier Ltd

Keyword:

Automobile suspensions Cylinders (shapes) Equations of state Gases Hysteresis Pneumatics

Community:

  • [ 1 ] [Li, Zixu]College of Mechanical and Energy Engineering, Jimei University, Xiamen; 361021, China
  • [ 2 ] [Wang, Yunchao]College of Mechanical and Energy Engineering, Jimei University, Xiamen; 361021, China
  • [ 3 ] [Du, Heng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Hu, Zhichao]College of Mechanical and Energy Engineering, Jimei University, Xiamen; 361021, China

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Source :

Mechanical Systems and Signal Processing

ISSN: 0888-3270

Year: 2022

Volume: 165

8 . 4

JCR@2022

7 . 9 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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