Optimization of a hybrid powertrain mounting system based on genetic algorithm
In the development of hybrid electric vehicles,the NVH performance benchmarking test was conducted on the powertrain mounting system of a specific vehicle.The test results show that under the condition of charging idle speed,the mounting system of the vehicle has severe vibration in the X and Y directions,which seriously affects the ride comfort.Therefore,a six-degree-of-freedom model of the powertrain mounting system was established in ADAMS software,and the modal analysis was performed.It is found that the natural frequency and decoupling rate of the powertrain system do not meet the evaluation criteria for vibration isolation effect,and the mounting parameters need to be optimized.Taking the decoupling rate and frequency distribution of each direction of the mount as the optimization objective,the position and stiffness of each mount were optimized by using MATLAB software and genetic algorithm.The simulation results of the optimized powertrain mounting system in ADAMS software show that the decoupling rate of the hybrid powertrain system is significantly improved,and the natural frequency distribution is more in line with the evaluation criteria for vibration isolation effect.Further comparative analysis shows that the dynamic reaction amplitude of the optimized powertrain mounting system in the Z direction is reduced,enhancing its vibration isolation capability and improving its NVH performance.
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维普
