噪声与振动控制2017，Vol.37Issue(6)：61-66,6.DOI:10.3969/j.issn.1006-1355.2017.06.012
基于高维模型的客车发动机悬置系统NVH性能优化
NVH Performance Optimization of Bus Engine Mounting Systems Based on High Dimensional Model Representation
摘要
Abstract
Vehicle NVH performance is an important indicator to measure the vehicle's ride comfort. The noise level and vibration amplitude of vehicles directly affect the passengers'subjective feelings. In this study, through NVH test of vehicles in idle condition, it is found that the engine mounting system has the greatest influence on the NVH performance at the driver's seat. Then, the stiffness and damping at the four points of the powertrain suspension system are selected as the design variables, the high-dimensional model based on thin plate spline interpolation (TPS-HDMR) is built as an approximate model to align the design variables with the objective function. With the help of genetic algorithms, the sound pressure level at the driver's right ear is optimized with the vibration amplitude in the driver's seat as a constraint condition. The results show that the NVH performance of the vehicle is significantly improved and the feasibility of this method is verified.关键词
振动与波/NVH测试试验/悬置系统/薄板样条插值函数/近似模型/遗传算法Key words
vibration and wave/NVH test/mounting system/thin plate spline interpolation/approximate model/genetic algorithm分类
通用工业技术引用本文复制引用
李伟平,尹文锋,曾亮铭,杨玉清,毛光军..基于高维模型的客车发动机悬置系统NVH性能优化[J].噪声与振动控制,2017,37(6):61-66,6.基金项目
湖南省自然科学基金资助项目(2015JJ2029) （2015JJ2029）
