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A Simulated Annealing algorithm based optimization for vehicle Powertrain Mounting System

机译:基于模拟退火算法的车辆动力总成悬置系统优化

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To improve the ride comfort of internal combustion engine powered vehicle, it is an effective method to employ the proper Powertrain Mounting Systems (PMS) to reduce the vibration transmitted from the powertrain to the vehicle chassis. The parameters of PMS have important influence to the performance of vibration absorption. Simulated Annealing (SA) is an effective optimization method and is widely used in engineering practice. In this paper, the parameter optimization of PMS based on SA method is presented. The optimization objective is to find the best decoupling ratio in the six directions of PMS, respectively. The design variables are the stiffness of the individual mounts. The constraints are that the desired decoupled ratio and the corresponding frequency should be allocated in the specific regions. However, the difficulty for the optimization is that the decoupling ratio and the corresponding frequency serve as both of objective function and constraints. To solve the problem, a penalty function is employed. Finally, by using SA optimization, the best parameters of PMS can be obtained. A case study is given to validate the proposed method. The result shows that the decoupling ratio can be improved significantly, while the constraints are well satisfied, respectively. Consequently, we can get the conclusion that the proposed method is effective for the optimization of PMS.
机译:为了提高内燃机驱动的车辆的乘坐舒适性,采用适当的动力总成安装系统(PMS)来减少从动力总成传递到车辆底盘的振动是一种有效的方法。 PMS的参数对减振性能有重要影响。模拟退火(SA)是一种有效的优化方法,在工程实践中得到了广泛的应用。本文提出了一种基于SA方法的PMS参数优化方法。优化目标是分别在PMS的六个方向上找到最佳去耦比。设计变量是各个安装座的刚度。约束条件是,应在特定区域中分配所需的解耦比和相应的频率。然而,优化的困难在于去耦比和相应的频率既是目标函数又是约束条件。为了解决该问题,采用惩罚函数。最后,通过使用SA优化,可以获得PMS的最佳参数。通过案例研究验证了该方法的有效性。结果表明,在满足约束条件的前提下,可以显着提高去耦率。因此,我们可以得出结论:所提出的方法对于PMS的优化是有效的。

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