Vehicle Ride Comfort Analysis And Particle Swarm Optimization In The Application Of Suspension

With the popularity of vehicles, the people have more requirements of thecomprehensive performance to the automobile. Especially for the requirement ofcomfortableness to the car gradually improve. The vibration of the vehicle directlyaffects the ride comfort of drivers and passengers, vibration will also influence theoperation of the steering wheel and shift knob. In this paper, the author have establishthe vibration model of11degrees of freedom on the basis of the study of domestic andforeign scholars research, combined with the understanding of automotive ride comfortand the suspension optimization method, to study and analysis the vehicle ride comfort.In order to improve the ride comfort,and not to change the part of the vehicle, using thecurrently popular optimization algorithm–the particle swarm to optimize the suspensionparameters, and the result is ideal.Firstly, Combining with the vibration of the automobile actual condition,established a coupled vibration mechanical model which based on man-vehicle-roadof11degrees of freedom of the vehicle. And then, using the Lagrange method, from thepoint of view of energy, Kinetic energy and the lost energy of the vibration system andthe scalar relationship, had established the differential equations of the vibrationsystem,and then write the corresponding dynamic matrix.Then, The road excitation as the input of vibration system, directly affects thevehicle ride comfort, so, in this study, we have using the method of time domain andspectrum analysis to study the road excitation. Finally， with the help ofMATLAB/SIMULINK platform, had carried on the simulation analysis for the fourwheel, the results of the analysis show that the hysteresis of wheel road excitation andcoherence. The time domain analysis show that the road excitation of the left wheeltrack is very roughly, but the right is smootly. At this situation, the vehicle can be regardas a filter. This result show that the road excitation have the fetures of the delay andcoherence. The spectrum analysis show that the low frequency feture of the roadexcitation,and the frequency focus on1HZ.Secondly, Combining with the road excitation and11degrees of freedom vibrationdynamic matrix, and as the same time, using the numerical simulation analysistool-MATLAB/SIMULINK platform,to analysis the driver and the passengers’ ridecomfort. The analysis result show that, improve the road grade, control the vehicle speed in the suitable scope,can make driver and passengers have a goodenvironment;choose a good suspension stiffness, damping, seat stiffness and damping,tire stiffness, can also improve automotive ride comfort.In order to analyze the intrinsiccharacteristics of vibration system, the transmission characteristics of vibration systemand natural frequency of the system were caculated, these theories had provide thereliable theory basis for the subsequent optimization of suspension parameters.Finally, In order to improve automotive ride comfort, the article adopts currentlypopular method optimization algorithm-particle swarm optimization algorithm, tooptimize the vehicle suspension stiffness and damping. Optimization results show that,the car drivers and passenger’s ride comfort had improved, the RMS of the drivers andpassenger’s have reduced10%. The result indicate that the reliability of the particleswarm optimization algorithm.