Analysis And Optimization Of A Car Handing And Stability Based On Response Surface Methods

With the popularization of automobile, traffic accident incidence also showed a rising trend year by year, automotive active safety has become a focus of research for scholars. Vehicle handling and stability is called as "the lifeblood of high-speed vehicles", it is the main factor of a vehicle active safety,the handling and stability is one important performance to evaluate the vehicle. The handling and stability is researched mainly by the method of virtual prototype simulation and experimental analysis, virtual prototyping technology has the advantage of low cost, repeatable, short cycle and so on,so this method is very popular with scholars of all ages.In this paper,the researching is mainly based on the software of ADAMS/Car.Firstly, the response surface methodology and multi-objective genetic algorithms are briefly introduced, paving the way to work as the follow-up foreshadowing. Establishing the subsystems by modifying the templates’parameters the ADAMS/Car provided.Then, in the standard interface of ADAMS/Car , assembled each subsystems and test platform into the vehicle dynamic model.Secondly, analysis the McPherson front suspension system by simulation, a second-order response surface approximate model ,which explicitly expressed the approximate relationship between the design parameters and the wheel alignment parameters maximum variation while the wheel beating is established. Finally,the model’s stability is analyized , the improved NSGA-II with an elitist preserve strategy and removing duplicates individual algorithm are used to solve the multi-objective optimization problem. The optimization results indicate that these mehtods have high accuracy and validity.Finally, based on the front suspension has been optimized, to typical test of handling and stability, the result shows that the car has the need for optimization. The objective quantitative comprehensive evaluation index was taken as the target function and the suspension parameters were taken as design variables, and then by means of response surface method for optimizing the handling and stability. Subsequently, by the analysis of the lateral displacement, lateral acceleration, yaw rate and so on, the results show that this method greatly improves vehicle handling and stability.