基于整车性能的动力总成悬置优化设计及稳健性分析
首发时间:2019-06-04
摘要:动力总成悬置系统的匹配优化对改善汽车的整车NVH特性具有重要意义。本文考虑车内噪声振动响应,提出了基于整车性能的动力总成悬置优化设计方法,并基于蒙特卡罗法对优化结果进行了稳健性分析。首先,建立含汽车总成的整车十三自由度模型,通过灵敏度分析,识别了受悬置刚度影响较大的目标函数,建立了考虑解耦率、汽车座椅滑槽振动和驾驶员右耳旁噪声的悬置系统优化模型。最后,采用遗传算法对优化模型进行了求解,获得了动力总成悬置刚度全局最优解。基于蒙特卡洛法的稳健性分析验证了优化结果的有效性。
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Optimization Design and Robustness Analysis of Powertrain Mounting System Based on Vehicle Performance
Abstract:The matching optimization of powertrain mounting system and vehicle NVH performance has important research value. For this reason, this paper combines the interior noise and vibration, and carries out a comprehensive optimization design and robust analysis of the 13-degree-of-freedom model of automotive powertrain mount system. Firstly, a 13-degree-of-freedom model of vehicle was established. Through the sensitivity analysis, the objective function which is greatly influenced by the suspension stiffness was identified, and the optimization model of the mount system considering the decoupling rate, vertical vibration of driver seat guideway and the noise of driver\'s right ear was set up. Then, the genetic algorithm was used to optimize the stiffness of the suspension system and obtain a global optimal solution. Monte Carlo method was used to analyze and compare the robustness of the suspension system before and after optimization, according to the comparison, the effectiveness of the optimization results was verified.
Keywords: Stiffness optimization Sensitivity analysis Robustness analysis Monte Carlo method
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