期刊文献+

基于高维模型的客车发动机悬置系统NVH性能优化 被引量:1

NVH Performance Optimization of Bus Engine Mounting Systems Based on High Dimensional Model Representation
下载PDF
导出
摘要 汽车NVH性能是衡量汽车乘坐舒适性的重要指标,其噪声声压级高低和振动幅值大小直接影响乘员的主观感受。通过怠速时整车NVH测试,确定动力总成悬置系统对驾驶员座椅处NVH性能影响最大。选取动力总成四点悬置处刚度和阻尼作为设计变量,利用基于薄板样条插值函数的高维模型(TPS-HDMR)构建设计变量与目标函数之间的近似模型。以驾驶员座椅处振动幅值为约束条件,采用遗传算法对驾驶员右耳处声压级进行优化,优化结果表明客车NVH性能得到明显提升,验证了该方法的可行性。 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.
出处 《噪声与振动控制》 CSCD 2017年第6期61-66,共6页 Noise and Vibration Control
基金 湖南省自然科学基金资助项目(2015JJ2029)
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 vibration and wave NVH test mounting system thin plate spline interpolation approximate model genetic algorithm
  • 相关文献

参考文献8

二级参考文献67

共引文献208

同被引文献18

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部