Whole car quality estimating method based on frequency response characteristic

Abstract

The invention discloses a whole car quality estimating method based on a frequency response characteristic. The whole car quality estimating method is suitable for real-time monitoring of the whole car quality in the process of constant speed running of a car. The whole car quality estimating method establishes an expression which can manifest the relationship between the longitudinal accelerated speed of the whole car and the frequency response characteristic between wheel speeds, and whole car quality estimating is further achieved on the basis of the expression. The estimating method comprises the following steps that the accelerated speed and wheel speed signals are correspondingly collected firstly; then by using a periodogram method, the amplitude ratio of two signals under different frequency is obtained; and finally, by using combining and recurring a least square method smoothing, estimating values of the whole car quality are obtained. The whole car quality estimating method based on the frequency response characteristic has the advantages that by only adopting the accelerated speed and the wheel speed signals, tyre longitudinal force information is not needed, and the method is applied conveniently; and estimating is achieved by adopting frequency-domain information, and the method has the characteristics that the method is not sensitive to wheel speed noise and errors.

Description

technical field [0001] The invention relates to a method for estimating the mass of a complete vehicle based on frequency response characteristics, which is suitable for real-time monitoring of the mass of a complete vehicle when the vehicle is running at a constant speed. Background technique [0002] Automobile companies hope to provide customers with the best driving or riding experience, which is mainly reflected in the handling performance of driving and steering and the ride comfort during vertical vibration. In order to ensure the consistency of the experience under different working conditions, when designing the vehicle control algorithm, it is usually necessary to identify some parameters to realize the adaptive adjustment of the algorithm. Vehicle mass is an inertial connection parameter controlling the expected output force and vehicle acceleration, and the accuracy of its estimation affects the behavior of the vehicle. [0003] Existing vehicle mass estimation ...

AI Technical Summary

Problems solved by technology

[0003] Existing vehicle mass estimation methods generally face two problems: because mass and slope have a certain coupling relationship in the vehicle longitudinal dynamics equation, if you want to estimate the mass, you must first estimate the road slope; mass estimation needs to rely on The mechanical information of the tire, which can come from the engine or motor torque, or from the brake pressure, but the accuracy of this information is poor and the estimation methods are inconsistent, and the application range is limited

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