【摘要】 为优化扭力梁悬架动态性能，提出了一种基于多岛遗传算法(Multi-Island Genetic Algorithm, MIGA)的多目标协同优化设计方法。以某款样车的后扭力梁悬架为研究对象，构建了扭力梁悬架刚柔耦合多体动力学模型，同时利用悬架运动学特性与柔性特性(Kinematic&Compliance, K&C)试验测试修正该模型，并在此基础上，对该模型开展典型K&C工况仿真分析；基于多岛遗传算法构建目标函数权重分配模型，引入岛屿迁移策略及动态收敛判据，实现了在高维解空间中对全局最优解的快速搜索。结果表明：优化后的悬架在纵向位移及侧倾中心高度等关键指标上均表现出更佳的动态响应特性，为扭力梁悬架系统的优化设计提供了可靠的理论基础和工程应用方法。更多还原

【Abstract】 To optimize the dynamic performance of torsion beam suspension, this paper proposes a multi-objective collaborative optimization design method based on multi-island genetic algorithm. Taking the rear torsion beam suspension of a certain sample vehicle as the research object, the rigid-flexible coupling multi-body dynamics model of the torsion beam suspension was constructed. Meanwhile, the suspension Kinematic & Compliance(K&C) test was used to test and correct this model. On this basis, a typical K&C working condition simulation analysis was carried out for this model. Finally, the weight distribution model of the objective function was constructed based on the multi-island genetic algorithm, and the island migration strategy and dynamic convergence criterion were introduced to achieve the rapid search of the global optimal solution in the high-dimensional solution space. The results show that the optimized suspension exhibits better dynamic response characteristics in key indicators such as longitudinal displacement and roll center height. The research results provide a reliable theoretical basis and engineering application methods for the optimal design of the torsion beam suspension system.更多还原