Abstract: The double-arm front suspension of a passenger car is taken as the research object, the multi-body dynamics virtual prototype model is established in ADAMS/Car module, the dual-wheel parallel runout simulation is carried out on the model, the suspension parameters are optimized by ADAMS/Insight, and 8 hard point coordinates which have a great impact on the suspension performance are selected as the design variables. Five main suspension performance parameters (wheel front beam, etc.) are selected as optimization objectives, sensitivity analysis is carried out on the design variables, In Adams/Insight, a D-optimal optimization algorithm based on secondorder response surface method is selected for multi-objective optimization, and the optimized hard point coordinate values are obtained. The results show that the performance parameters of the optimized double-arm front suspension are greatly optimized, which has certain reference significance for the optimization design of double-arm front suspension in engineering.

Key words: ADAMS/Insight; Multi-body dynamics; Double-arm front suspension; Optimal designing

摘要： 以某乘用车双横臂前悬架为研究对象，在 ADAMS/Car 模块中建立其多体动力学虚拟 样机模型，对模型进行双轮平行跳动仿真，运用 ADAMS/Insight 对悬架参数进行优化设计， 选取 12 个对悬架性能影响大的硬点坐标值作为设计变量，选取主要的 5 个悬架性能参数（车 轮前束等）作为优化目标，对设计变量进行灵敏度分析，在 ADAMS/Insight 中选择二阶响应 面法的 D-optimal 优化算法进行多目标优化，得到优化后的硬点坐标值。结果表明，优化后的 双横臂前悬架各性能参数都得到了较大幅度优化，对双横臂悬架在工程中的优化设计工作具 有一定的参考意义。

关键词: ADAMS/Insight；多体动力学；双横臂前悬架；优化设计