Analysis And Optimization Of Electric Vehicle Torsion Beam Suspension Based On Tire Wear

In a moving vehicle, the torsion beam of electric vehicle torsion beam suspension needs to constantly deformation to suppress the wheels bounce and body roll under the change of load of rear axle and road surface impact, the force situations of torsion beam are very complex. Meanwhile, the suspension movement will change the tires'driving posture, which has a certain influence on tire wear. This paper is mainly to simulation modeling and analysis on the dynamic and static characteristic of torsion beam suspension of REEV, and optimization of the kinematics characteristics of the suspension was made based on the tire wear theory, and it leads to an effective reduction in tire wear and improves the driving stability of the vehicle.Firstly, three typical extreme working conditions are chosen, which contains extreme left turn condition, rapid deceleration and braking condition and bilateral wheel impact load condition caused by uneven road, static analysis on the finite element model of the torsion beam suspension is conducted to get the rule of strength distribution of suspension under the typical working conditions. Then, modal analysis by exploring the coincidence degree between the natural frequency of the torsion beam suspension and the excitation frequency of the vehicle. The fatigue life prediction of torsion beam suspension was made by using HyperWorks Fatigue Analysis Calculated Process Manager, and the parallel-wheel simulation test was performed based on the rigid-flexible coupling dynamic model for the torsion beam suspension, analyzes the variation characteristics of alignment parameters with the wheels bounce.Secondly, the paper introduces the research of tire wear characteristics, and tire brush models are chosen to analysis the stresses and deformation behavior of tire under steady state cornering condition, the effects of rear wheel alignment parameters on tire wear are quantitatively analyzed based on a calculation method of the tire friction power was built. Then, camber angle and toe angle as the optimization objective and analysis sensitivity with the application of ADAMS/Insight to determine the appropriate hard points coordinates as optimization variables. In addition, based on RSM method fit the function relationship between optimization objective and hard points variables, and the hard points coordinates for large effect on the objective function are optimized. Optimization results indicate that the dynamic characteristics of suspension are improved and lead to an effect reduction in tire wear.Finally, in order to study the essential reason between the torsion beam suspension and tire wear, a suspension-tire-tread system was established. The self-excited vibration of system was simulated and analyzed in ADAMS/View, which could be used to study the relationship between tire wear and performance of suspension.