Simulation Of Vehicle Dynamics And Optimization Of Suspension Parameters Based On Rigid-flexible Coupling Model

Handling stability and ride comfort are very important; they are important evaluating indicators of vehicle dynamics. At present, researchers usually use multi-rigid body dynamics method to research on vehicle handling stability and ride comfort. The simulation model established is mainly the multi-rigid body model. The flexible effect of some important parts is not considered in the model. It is different from the vehicle’s actual situation. To this end, based on multi-body dynamics and finite element method, the method of rigid-flexible coupling is used to study for vehicle handling stability and ride comfort in this thesis.Taking a certain independent brand car as prototype, the multi-body dynamics models including suspension, the steering, the powertrain, the chassis, the occupant-seat system model and the tires are established in multi-body dynamics software ADAMS/Car. To improve the accuracy of the model, front lower arms, front stabilizer bar, the torsion beam and the body are treated as flexible bodies with the HyperWorks software, and then they are imported into ADAMS software to establish the rigid-flexible coupling vehicle model in ADAMS/Car. Based on the relevant national standards, handling stability simulation is performed. Under the same simulation conditions, two whole vehicle models,ride comforts are studied which include rigid-flexible coupling model and multi-body dynamics model.The analysis results show that the rigid-flexible model provides higher simulation precision than multi-body dynamics model.Based on the national standard of ride comfort, the road test of ride comfort is carried out. By comparing simulation results with the road test, it shows that the rigid-flexible coupling model is more accurate. Finally, the vehicle suspension parameters are optimized by using Design of Experiment(DOE) in ADAMS/Insight.The initial simulation results of ride comfort and the optimized ones are compared.The results show that the optimization improves the ride comfort of the car by using the optimized parameters.