Study On Ride Comfort Of Non-linear Suspension Of Automobiles

Since the requirement for high modern automobiles performance is increasing continuously, the performance of vehicle suspension needs to be studied and developed. In recent years, suspension system has gained more interest and been the subject of the research and development due to increasing industrial demands for a better ride. This paper mainly studies the modeling of suspension system; effect analyses of non-linearity of suspension components on the vehicle performances; the calculation of the random response of non-linearity using statistic linearization method; the prediction analyses of ride considering suspension non-linearity; the real test and its comparison with the simulation results to prove the reliability of the theoretical models.Firstly, the thesis analyzes the effect of components on the suspension system. Here, the most important parts are the damping force of the shock absorber; the characteristics of leaf springs and tires. Then, the complexity of the non-linearity system is considered; the non-linearity model of five degrees of freedom is adopted. Then, the non-linearity model is linearized by statistic linearization method. The simulating calculations are carried out. Finally, under different road conditions, the vehicle running test is implemented to verify the theoretical analyses and simulation results. The test results agree with the simulations. So, it proves that the mathematic models and algorithms are correct, the ride comfort and other performance of the vehicle are improved greatly.The aim of this study was to improve the suspension behaviour in actual applications. Theoretical analyses, simulations and tests prove the study is effective; the results have certain academic level and significant application background for automotive engineering.