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目的:通过采用不同数值方法求解不同的车辆动力学模型,为车辆动力学模型研究提供参考;结合正交试验和多目标优化算法来分析各个参数对车辆性能的影响权重,采用多目标优化算法进行车辆动力学多目标优化分析,为车辆的设计提供参考依据。创新点:研究不同数值方法的求解精度,为车辆动力学求解方法提供新途径;采用正交试验设计研究车辆各参数的影响权重,为车辆设计提供参考;采用多目标优化算法设计车辆,能兼顾车辆多个方面的性能。方法:采用不同动力学求解算法、正交试验设计和多目标优化分析方法。结论:1.基于不同数值求解算法的研究表明,Hamming法要优于Newmark法和有限差分法,四阶Hamming法的精度不如龙格库塔法;2.正交试验可得到各参数对车辆动力学的影响权重,但忽略了参数间的交互效应;3.经过多目标优化设计,衡量车辆振动性能的两个指标分别减少了7.22%和6.82%。
OBJECTIVE: To solve the vehicle dynamics model by different numerical methods and to provide references for the study of vehicle dynamics model. Combining with orthogonal test and multi-objective optimization algorithm to analyze the influence weight of each parameter on vehicle performance, multi-objective optimization algorithm Multi-objective vehicle dynamics optimization analysis, to provide a reference for the design of the vehicle. Innovative point: To study the solution accuracy of different numerical methods to provide a new way for the vehicle dynamics solution method; orthogonal test design to study the influence weight of the vehicle parameters, to provide reference for vehicle design; using multi-objective optimization algorithm to design vehicles that can take into account Many aspects of vehicle performance. Methods: Different kinetic solution algorithms, orthogonal experimental design and multi-objective optimization analysis methods were used. The results show that the Hamming method is superior to the Newmark method and the finite difference method, the precision of the fourth-order Hamming method is not as good as the Runge-Kutta method.2. But ignores the interaction effect between the parameters.3. After the multi-objective optimization design, the two indexes that measure the vehicle vibration performance are decreased by 7.22% and 6.82% respectively.