Vehicle roll-over index prediction method based on gravity center height online estimation

A technology of center of gravity height and prediction method, which is applied in the field of vehicle engineering, can solve problems such as poor reliability and real-time performance, and achieve the effect of reducing influence and improving accuracy

Active Publication Date: 2017-09-22
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0003] In order to overcome the shortcomings of poor reliability and poor real-time performance of existing rollover index prediction methods, the present invention provides a method with high reliabi

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  • Vehicle roll-over index prediction method based on gravity center height online estimation
  • Vehicle roll-over index prediction method based on gravity center height online estimation
  • Vehicle roll-over index prediction method based on gravity center height online estimation

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] refer to Figure 1 to Figure 5 , a vehicle rollover index prediction method based on the online estimation of the height of the center of gravity. First, the vehicle roll dynamics model is established according to the basic theory of dynamics; then, the parameter identification model for the height of the center of gravity is obtained by using the adaptive filtering theory. The parameter identification model Only the lateral acceleration and relative roll angle sensor signals are needed as input, avoiding the high-order signals of roll angle velocity and roll angle acceleration that are difficult to obtain directly, so as to reduce the impact of measurement errors and interference; for the parameter identification model, the filter matrix is ​​designed An adaptive rate driven by parameter error information is proposed to realize the online real-time adaptive est...

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Abstract

The invention relates to a vehicle roll-over index prediction method based on gravity center height online estimation. The vehicle roll-over index prediction method comprises: establishing a vehicle roll-over dynamic model according to a dynamic base theory; obtaining a parameter identification model related to gravity center height through an adaptive filtering theory, wherein the parameter identification model only requires the lateral acceleration and the relative roll angle sensor signal as the input; based on the parameter identification model, providing an adaptive rate driven by parameter error information by designing a filtering matrix so as to achieve the online real-time adaptive estimation of the gravity center height; and finally obtaining the roll-over index prediction method based on the gravity center height online estimation according to a horizontal load transfer rate basic formula. The vehicle roll-over index prediction method of the present invention has advantages of high reliability, good real-time performance, less signal measurement demand, low cost, and good universality.

Description

technical field [0001] The invention belongs to the field of vehicle engineering, and in particular relates to online real-time estimation of the center of gravity of a vehicle and a rollover index prediction method based on it. Background technique [0002] Among all traffic accidents, vehicle rollover is an extremely dangerous vicious traffic accident, which often brings serious consequences. The online estimation of the height of the center of gravity is of great significance for the development of an effective rollover index prediction method. The dynamic rollover warning index of the vehicle can be obtained directly through online estimation of the height of the center of gravity. The main problem of the commonly used center of gravity estimation methods at present, such as Kalman filter and least squares method, is that in addition to the lateral acceleration and roll angle signals, high-order signals such as roll angular velocity and roll angular acceleration are als...

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Application Information

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IPC IPC(8): G07C5/08G06F17/50
CPCG06F30/20G07C5/0808G07C5/0816
Inventor 付志军
Owner ZHEJIANG UNIV OF TECH
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