Interval Uncertain Optimization Of Vehicle Suspension For Ride Comfort

With the rapid development of the automotive industry, the requirement forperformance of vehicle is increasingly improved. There is an important point thatusing optimization methods to optimize the parameters of vehicle suspension so that itdecreases the cost of vehicle and increase the performance of vehicle structure.Moreover, it is very important to consider the uncertainties in vehicle suspensiondesign ensuring the reliability and stability of vehicle. Therefore, the main contents inthis paper are as followed:(1) The sensitivity for vehicle suspension parameters is analysed, which acquiresthe degree of sensitivity from parameters for the root mean square (RMS) of the vehiclebody acceleration, RMS of suspension dynamic deflection and RMS of relative dynamic load.Moreover, the spectrum of suspension parameters is analysed which gets the main effect ofride comfort.(2) Based on the interval analysis method, this paper proposes an uncertainoptimization model for the ride comfort in vehicles and achieves the optimal design ofvehicle ride comfort under the condition of complicated uncertainty. The uncertaintiesof key parameters, such as sprung mass, tire stiffness, vehicle speed and road roughness,are also considered and quantified by interval analysis method. After that, an intervaluncertain optimization model of vehicle suspension is established for ride comfort,which is subsequently converted to an ordinary deterministic optimization problemthrough a transformation model. Finally, the proposed method is applied to threetypical vehicle suspension dynamic systems with two degrees of freedom, fourdegrees of freedom and seven degrees of freedom.(3) A multi-objective optimization model for vehicle suspension system isproposed, which can optimize the ride comfort and handling stability. Lastly, thecorresponding ride comfort and handling stability are compared.