Simulation Analysis And Optimization Of Ride Comfort And Handling Stability Of Electric Vehicle

Handling stability and ride performance are main evaluation indexes for vehicles.They are closely related,influence and restrict each other,that makes it formidable to enhance the stability as well as smoothness of the motor vehicle simultaneously.Due to the continuous development of the automobile,it is desirable that the performance of the automobile will also improve,so we need to carry out multi-objective optimization on the ride comfort and handling stability of the automobile.An electric vehicle is the study target in this essay,that is offered by a firm,applying ADAMS/Car to build vehicle dynamics model,and according to the requirements of national standards,stochastic input experiment、impulse input experiment、steering stability return experiment and steering wheel angle impulse input experiment are carried out.After gaining the simulation outcomes,the steering return test and random input test are selected as the representative tests to optimize the vehicle’s steering stability and comfort.Use the Insight module of ADAMS to judge the sensitivity of the hard point coordinates of the front and rear suspension,and the hard point coordinates that have the greatest impact on the evaluation indexes of the steering return test and the random input test are identified as the design variables,and the second-order response surface models for handling stability and ride comfort are constructed respectively.The multiobjective optimization is carried out by using genetic algorithm.In the end,the majorization consequences are confirmed,and the consequences demonstrate that the smoothness as well as operation stability of the motor vehicle have been improved after optimization.After the hard point parameters are optimized,the mechanical characteristics of the suspension are taken as the design variables to construct the second-order response surface model of handling stability as well as ride comfort.The multi-objective optimization is also carried out using genetic algorithm.The outcomes indicate that the stability as well as comfort of the electric vehicle is further raised after the mechanical characteristics parameters of the suspension are optimized,which indicates the value of multi-objective optimization for improving the vehicle performance.