Suspension parameters optimisation and matching is a very important topic in the design of railway vehicles, and a reasonable combination of suspension parameters is the most powerful guarantee for safe and stable operation. However, most of the existing research about that still belongs to single-objective optimisation and pays little attention to the matching relationship between different suspension parameters, which has plenty of limitations. Therefore, the lateral stability and ride comfort of a certain type of domestic high-speed locomotive are studied and optimised through the genetic algorithm NSGA-II, to find the optimal lateral dynamic performance. It can be found that there is an obvious contradiction between linear stabilities under low-conicity and high-conicity conditions, but a strong positive correlation between low-conicity stability and lateral ride comfort in a low-conicity condition. Besides, the matching relation of the six key suspension parameters is explored employing data analysis methods, such as global sensitivity and clustering analysis, and three types of parameter combinations are proposed. In addition, the speed robustness and rail cant robustness regarding the three types of parameter combinations are analyzed, and the lateral dynamic performance characteristics of each parameter combination type are summarised.

悬架参数优化与匹配是轨道车辆设计中非常重要的课题，悬架参数的合理组合是安全稳定运行的最有力保障。然而，现有的大部分研究仍属于单目标优化，很少关注不同悬架参数之间的匹配关系，存在很多局限性。因此，通过遗传算法NSGA-II对国产某型高速机车的横向稳定性和乘坐舒适性进行研究和优化，寻找最优的横向动力性能。可以发现，低锥度和高锥度条件下的线性稳定性存在明显矛盾，但在低锥度条件下，低锥度稳定性和横向乘坐舒适性之间存在很强的正相关关系。此外，采用全局敏感性、聚类分析等数据分析方法，探索了6个关键悬架参数的匹配关系，提出了3类参数组合。此外，分析了三种参数组合的速度鲁棒性和钢轨超高鲁棒性，总结了各参数组合类型的横向动力性能特征。