Gao Jin, Du Mingyang
Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.
Sci Prog. 2024 Jul-Sep;107(3):368504241260272. doi: 10.1177/00368504241260272.
When the vehicle is in motion, the elastic deformation of the flexible subframe significantly influences ride comfort. Therefore, it is crucial to investigate the impact of flexible subframes on vehicle ride comfort. In order to enhance the reliability and optimization efficiency of our research, this paper incorporates the concept of elastic deformation in the flexible subframe into the investigation of vehicle ride comfort, and proposes a multi-objective optimization approach to enhance the overall vehicle ride comfort. The vibration mathematical model elucidates how flexible subframes affect vehicle ride comfort and establishes a rigid-flexible coupling model for a specific vehicle with a flexible subframe to analyze the impact of its elastic deformation on vehicle ride comfort through simulation experiments. Subsequently, a radial basis function approximation model is established, and the multi-objective particle swarm optimization and non-dominated sorting genetic algorithm II algorithms are employed to conduct multi-objective optimization of the stiffness of the subframe bushing with the aim of enhancing vehicle ride comfort. The findings indicate that the flexible subframe has a significant impact on vehicle ride comfort. Specifically, on bump roads, peak values of vertical and longitudinal seat accelerations decrease while lateral seat acceleration increases. On random roads, peak values of longitudinal and lateral seat accelerations increase while vertical acceleration decreases. Furthermore, the stiffness of the subframe bushing optimized by the non-dominated sorting genetic algorithm II algorithm further enhances vehicle ride comfort and aligns more closely with the optimization requirements in this study.
车辆行驶时，柔性副车架的弹性变形对乘坐舒适性有显著影响。因此，研究柔性副车架对车辆乘坐舒适性的影响至关重要。为提高研究的可靠性和优化效率，本文将柔性副车架弹性变形的概念纳入车辆乘坐舒适性研究中，提出一种多目标优化方法以提升整车乘坐舒适性。振动数学模型阐明了柔性副车架如何影响车辆乘坐舒适性，并针对具有柔性副车架的特定车辆建立了刚柔耦合模型，通过仿真实验分析其弹性变形对车辆乘坐舒适性的影响。随后，建立了径向基函数近似模型，并采用多目标粒子群优化算法和非支配排序遗传算法II对副车架衬套刚度进行多目标优化，以提高车辆乘坐舒适性。研究结果表明，柔性副车架对车辆乘坐舒适性有显著影响。具体而言，在颠簸路面上，座椅垂直和纵向加速度峰值降低，而横向座椅加速度增加。在随机路面上，座椅纵向和横向加速度峰值增加，而垂直加速度降低。此外，采用非支配排序遗传算法II算法优化后的副车架衬套刚度进一步提高了车辆乘坐舒适性，且更符合本研究的优化要求。
