Inverse Calculation Method of Nonlinear Stiffness Characteristic Parameters and Curves of Air Spring Seat Mount

Abstract

The invention relates to the inverse calculation method of nonlinear stiffness characteristic parameters and curves of air spring seat mounts, and belongs to the technical field of vehicle seats. The "seat-human body" vibration model of "nonlinear stiffness characteristics - piecewise linear function Fk" and the objective function of reverse parameters θ1~θ5, and the vibration model of "nonlinear stiffness characteristics - odd power polynomial Fs" and The optimization objective function of parameters Ks1 and Ks3 is inversely calculated, and the nonlinear stiffness characteristic parameters and curves of the air spring seat mount are jointly inversely calculated. The present invention can accurately obtain the nonlinear stiffness characteristic parameters and curves of the air spring seat suspension system, improve the accuracy of seat body vibration modeling and analysis, and improve the design level and quality of the seat suspension system; at the same time, it can also Reduce test costs and speed up product design and development.

Description

technical field [0001] The invention relates to a vehicle seat, in particular to an inverse calculation method of the non-linear stiffness characteristic parameters and curves of an air spring seat suspension. Background technique [0002] Air springs have ideal nonlinear stiffness characteristics and have been widely used in seat suspension systems in recent years. The comfort of the seat system is one of the important indicators to evaluate the performance of the car. In order to improve the comfort of the car seat system, it is necessary to establish the human body vibration model of the vehicle seat, so as to analyze and optimize the design of the seat suspension system. The accuracy of the stiffness characteristic curve of the air spring seat suspension of the human body vibration model of the vehicle seat directly determines the accuracy of the human body vibration model of the vehicle seat, thereby determining the optimal design result of the seat suspension system a...

AI Technical Summary

Problems solved by technology

At present, in the study of the comfort of the car seat system, there are mainly two methods to obtain the nonlinear stiffness curve of the air spring seat suspension system: the first method is based on the experimental data of a large number of air spring tests, through curve fitting It can be converted into the nonlinear stiffness curve of the air spring seat suspension system. This method has high test cost and long cycle; the second method is to establish a multinomial odd power mathematical model of the stiffness curve based on the air spring seat suspension system. Direct acquisition of nonlinear stiffness characteristic curve of air spring seat suspension system by system identification technology

Using the second method, although the multinomial odd power expression can better fit the test curve when simply designing the stiffness characteristics of the seat suspension, however, this method is not suitable for complex seat suspensions. When identifying the model system, it is difficult to give the range of each stiffness coefficient. If the given range is small, the target search value will be outside the given range. If the given range is too large, the calculation of the identification algorithm will take a lot of time, and there will be may not be able to find the ideal value

Therefore, at present, there is no low-cost, fast and accurate method to obtain the nonlinear stiffness characteristic curve of the air spring seat suspension system. It is necessary to establish a reverse method for the nonlinear stiffness characteristic parameters and curves of the air spring seat suspension system

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