With the rapidly development of society and the pursuit to higher life quality of people,automobiles are becoming very popular as the means of transport in our daily life. Nowadays,a high-performance automobile should be an excellent artwork, so the ride comfort andhandling stability are two important performances for automobiles. As the increasingattention to life quality, the automobile with good ride comfort and handling stability is ourpreferred type vehicle. Meanwhile, the ride comfort and handling stability of vehicle couldnot only play crucial role in the comfort, level of fatigue and safety of drivers, but alsoconnect to oil consumption and traffic safety. Therefore, improving that two performanceshas become the most important task that carmakers should fulfilled in the highly competitivemarket. Hence, the optimization for handling stability and comfort of vehicle had become avery important and difficult task during the process of vehicle design.To meet the demands of energy conservation and environmental protection, followeddevelopment of economic, automobile companies designed electric vehicles, a kind of newenergy vehicles, with energy saving, environmental protection and high performance todisplace traditional vehicles. The drive system of electric vehicles is electric wheel instead ofthe mechanical drive system of traditional vehicles. The using of electric wheel drive systemcould not only reduce the automobiles weight and lower development cost, but also couldimprove the performance of it. However, the hub motor in an electric vehicle causes thecoordinate changes of the suspension, and also, the vehicle performances have been changedfurther. Therefore, the object of the study is to optimize the handling stability and comfort ofthe electric vehicle based on the previous studies of a new generation of domestic electricvehicle.The electric vehicle research process at home and abroad and the main content of thepaper were introduced in the study firstly. Then, the related theories and modules used in thispaper of ADAMS, which is a typical software of virtual prototype techniques, has also beenbriefly introduced. Next, a whole vehicle model, which corresponds to the researched realelectric vehicle, and other subsystems models were built in the ADAMS/Car environment.And also, we carried out research in detail on the mechanical movement performance of McPherson front suspension during driving, as well as its relationship with four importantlocation parameters of front wheel, and elaborated the crucial role of different parametervalues on the tires abnormal wear. Meanwhile, the objective evaluation standards at homeand abroad for these parameters were listed. After that, in the study, the structure ofMcPherson front suspension was optimized based on the simulated analysis about virtualprototype model of McPherson front suspension. During the process of suspensionoptimization, the effect of front wheel location parameters on the tires abnormal wear wasresearched to reduce the abnormal wear, and space coordinates of the key points on frontsuspension were also optimized. Being more specific, the objective of the study is tooptimize the four important location parameters, changes of wheel track and kingpin offsetwith the guiding principle of18key points on suspension are the variables. Then, the wholeperformance of suspension may be improved through the front suspension optimization usedInsight and Post-Processor in ADAMS.Following that, the electric vehicle module was built in the ADAMS based on theparameters of the real vehicle. Then, the simulated analysis of the four relativecontrollability and stability performance tests, including steering wheel angle pulse input test,steering wheel angle step input test, steady static circular test procedure and pylon courseslalom test, were made. After we got the result of that, the whole vehicle model wasanalyzed and evaluated in detail.In chapter5of the study, not only a road spectrum document about the vehicle comfortwas built using the vehicle comfort module in ADAMS, but also the electric vehicle comfortwas analyzed before and after the suspension optimization on three different input methodsof pavement conditions, such as random input, pulse input and sinusoidal wave incentive.After the experimental data was disposed scientifically, the rule of suspension positionchanges on the vehicle comfort was summarized through out a comparative analysis of data.In conclusion, we got the optimal plan of suspension system successfully in the studyafter the simulated analysis on the automobile dynamic and front suspension system of theelectric automobile. It shortened the development cycle and lowered the cost of theautomobiles. This can provide experimental data for the product design and the qualityimprovement of automobiles. |