Abstract
In this chapter, the nonlinear virtual prototype model of a heavy vehicle (DFL1250A9) is set up, and an orthogonal optimization program for the virtual heavy vehicle model is presented to analyze the effect of vehicle parameters on riding comfort and road friendliness according to the design of experiment (DOE) method. Through a reasonable choice for the best objects, factors, level and experiment combination, a best matching program of experiment factors could be obtained and the goal of riding comfort and road friendliness could be accomplished. Finally, two kinds of adjustable damper control system are established within MATLAB/Simulink environment. The ADAMS/Matlab cosimulation of the full vehicle system is completed to show that the MR (Magneto-rheological) damper under semiactive “on–off” control can minimize seat vertical acceleration, suspension deflection, and dynamic tire force compared with a passive suspension. The semiactive suspension can improve vehicle dynamical performance, weaken vehicle body vibration, and increase riding comfort.
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References
Chen J. MSC.ADAMS Examples of technical and engineering analysis. Beijing: China WaterPower Press; 2008.
He YP, McPhee J. Application of optimization algorithms and multibody dynamics to ground vehicle suspension design. Int J Heavy Veh Syst. 2007;14(2):158–92.
Hegazy S, Rahnejat H, Hussain K. Multi-body dynamics in full-vehicle handling analysis. Procs Inst Mech Eng, Part K: J Multi-body Dyn. 1999;213(1): 19–31.
Hu GH, Zhu WH, Cai HX. Mathematical model for abrasive suspension jet cutting based on orthogonal test design. J Shanghai Univ (English Edition). 2009;13(1): 37–44.
Lu YJ, Yang SP, Li HY. Dynamic analysis of semi-active vehicle suspensions using a co-simulation approach, 2008IEEE Vehicle Power and Propulsion Conference; 2008, 10394417.
Lu YJ, Yang SP, Li SH, Chen LQ. Numerical and experimental investigation on stochastic dynamic load of a heavy duty vehicle. App Math Model. 2010;34(10): 2698–710.
Lu YJ, Li SH, Wang CY. Orthogonal test optimization of vehicle smoothness and road friendliness. Int J App Math Stat. 2013; 51(21): 592–600.
Snežana P, Ljubomir L. Orthogonal array and virtualization as a method for configuration testing improvement. Novi Sad: First IEEE Eastern European Conference on the Engineering of Computer Based Systems; 2009. p. 148–9.
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© 2015 Science Press, Beijing and Springer-Verlag Berlin Heidelberg
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Yang, S., Chen, L., Li, S. (2015). Dynamic Analysis of a Heavy Vehicle Using Function Virtual Prototype. In: Dynamics of Vehicle-Road Coupled System. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45957-7_3
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DOI: https://doi.org/10.1007/978-3-662-45957-7_3
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