Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (6): 930-940.doi: 10.23940/ijpe.20.06.p11.930940

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Improved Pseudo-Random Excitation Method for Passive Suspension of Half Vehicle System

Hui Chen and Wuyin Jin*   

  1. School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: wuyinjin@hotmail.com
  • About author:Hui Chen, Ph.D., Main research interests focus on nonlinear dynamics theory and vehicle dynamics, and remote intelligent communication theory.
    Wuyin Jin, Researcher, doctoral supervisor. Main research directions include neuroscience, dynamic systems analysis, system simulation and virtualization, nonlinear dynamics theory and methods, and signal processing.
  • Supported by:
    This work was supported by the Key Research and Development Program of Gansu Province, China (No. 18YF1GA063).

Abstract: This paper investigates the dynamic behavior of half vehicles with a passive suspension system. The study uses an improved pseudo-random road excitation method that has been proposed as a type of road input excitation for vehicles in shock mitigation. For this, five motion equations of the half vehicle model are established, which are derived in terms of four displacements and a pitch angle. Based on the principle of analog equation, the new direct time integration method is used for numerical integration. Both the power spectrum density (PSD) in frequency-domain and the vehicle dynamic response in time-domain against two types of road inputs are investigated and simulated. This includes the PSD of driver vertical acceleration, chassis (vehicle body) vertical acceleration, front (rear) suspension dynamic deflection, front (rear) dynamic tire load, and response of displacement and velocity. The simulation results are achieved for different type of initial inputs. Finally, the value of the specific frequency point of power spectrum density and the time-domain dynamic response of the model are obtained, and the reasons are analyzed.

Key words: improved pseudo-excitation method, passive suspension system, direct time integration method, power spectrum density