"动力总成悬置系统的优化设计与仿真分析"

本论文以国产某客车为研究对象，对动力总成悬置系统的隔振性能进行了深入分析和优化。通过建立悬置系统的多体动力学仿真模型，并使用拉格朗日法建立了动力总成悬置系统的数学模型来验证多体动力学模型的正确性。在此基础上，分别运用MATLAB中的Pareto遗传算法和ISIGHT多目标优化法对悬置系统的刚度进行优化设计，最终对优化结果进行对比分析。研究表明，Pareto遗传算法的优化解耦率较高，其优化效果更明显。 此外，优化后的悬置系统能有效地提高解耦率，从而改善整车的噪音、振动和粗糙度（NVH）性能。因此，动力总成悬置系统的性能参数设计对整车的NVH性能指标有着直接影响，因此该研究具有重要的理论和实际意义。 关键词：动力总成悬置系统，固有特性，能量解耦率，优化 Abstract The performance parameters of powertrain mount system design directly affects the vehicle's harshness (NVH) index, which is a key technology in vehicle development. This thesis focuses on the analysis and optimization of the isolation performance of the powertrain mount system on a domestic bus. By establishing a multi-body dynamics simulation model of the mount system and using the Lagrange method to establish a mathematical model for validation, the correctness of the multi-body dynamics model is verified. Based on this, the stiffness of the mount system is optimized using the Pareto genetic algorithm and the ISIGHT multi-objective optimization method, and the optimization results are compared and analyzed. The study indicates that the optimization decoupling rate of the Pareto genetic algorithm is higher, and its optimization effect is more significant. Furthermore, the optimized mount system can effectively improve the decoupling rate, thereby improving the vehicle's noise, vibration, and harshness (NVH) performance. Therefore, the performance parameters design of the powertrain mount system has a direct impact on the NVH performance index of the entire vehicle, making this research of theoretical and practical significance. Keywords: powertrain mount system, inherent characteristics, energy decoupling rate, optimization