Optimization analysis method of automobile ride comfort based on Taguchi experiment

Abstract

The invention discloses an optimization analysis method of automobile ride comfort based on the Taguchi experiment, comprising the following steps: S1, based on the Taguchi method experiment, determining controllable factors and noise factors which affect the ride comfort of the automobile to be optimized; S2, generating a header of a combined orthogonal array according to the number of controllable factors and noise factors and the horizontal number thereof; S3, simulating the combination of controllable factors and noise factors in Matlab / Simulink, and calculating the root mean square valueof seat vertical acceleration; 4, carrying out statistical analysis and calculation on that data obtained in the step S3, obtaining a variance analysis table of the signal-to-noise ratio, and calculating the contribution rate of each controllable factor to vehicle ride comfort and robustness. The simulation analysis can be combined with the Taguchi method to analyze the influence of controllable design variables and random disturbance factors on ride comfort, and the best combination of parameters can be selected to improve the normal ride comfort and stability.

Description

technical field [0001] The invention relates to the technical field of automobile testing, in particular to a method for optimizing the ride comfort of automobiles based on Taguchi experiments. Background technique [0002] The ride comfort of the car is mainly to ensure that the impact of the vibration and shock environment generated by the car during driving on the comfort of the occupants is within a certain limit. Suspension is the main factor affecting the smoothness of automobiles. Many experts and scholars are engaged in the research, optimization and control of suspension systems, so that the smoothness of automobiles has been continuously improved. For the optimization of the suspension, there are mainly several ways in the prior art. One is to design a reliable fuzzy H ∞ controller, and a quarter of the vehicle suspension model was used to verify the effectiveness of the design method; the other was to apply an improved multi-objective genetic algorithm to optimiz...

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Problems solved by technology

However, these optimizations regard factors such as road surface, load, and vehicle speed as constant, and do not consider the influence of random disturbance factors on vehicle ride comfort, so the robustness of vehicle ride comfort under complex conditions cannot be guaranteed.

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