Vehicle rollover prewarning method and system

Abstract

The invention discloses a vehicle rollover prewarning method, which comprises the following steps: obtaining a contour line of a load transfer ratio (LTR) of a vehicle; quantifying and forecasting the rollover risk of the vehicle; carrying out rollover prewarning based on a rollover index CLRI. A vehicle rollover prewarning system which implements the vehicle rollover prewarning method comprises an information acquisition module, a rollover index calculating module and a rollover prewarning module, wherein a processing circuit in the rollover index calculating module acquires a sensing signal from the information acquisition module and transmits the sensing signal to a micro processor; the micro processor calculates the rollover index CLRI and transmits the rollover index CLRI to the rollover prewarning display module. The vehicle rollover prewarning method and the vehicle rollover prewarning system can monitor the rollover stability of the vehicle on line, precisely quantify and forecast the rollover risk of the vehicle, and timely and accurately carry out rollover prewarning or trigger active rollover prevention control, so as to guarantee the running safety of the vehicle.

Description

technical field [0001] The invention belongs to the technical field of automobile active safety control, and in particular relates to a vehicle rollover early warning method and early warning system based on load transfer ratio (Load Transfer Ratio, abbreviated as LTR) contours, which can realize accurate quantification and prediction of vehicle rollover risk . Background technique [0002] Vehicle rollover is a very dangerous traffic accident. The rollover warning technology can warn the driver of the impending rollover risk in advance, so that the driver can take timely measures, and can also be used as a trigger condition for the active anti-rollover control system. The existing vehicle rollover early warning algorithms mainly fall into the following two categories: the early warning algorithm based on the vehicle model and the early warning algorithm based on the MAP graph. The early warning algorithm based on the vehicle model can estimate and predict the vehicle roll...

AI Technical Summary

Problems solved by technology

The early warning algorithm based on the vehicle model can estimate and predict the vehicle roll state online. The finer the vehicle model, the higher the accuracy of the rollover early warning algorithm, but the real-time performance will be worse, so its practical application has great limitations; Most early warning algorithms based on MAP diagrams directly compare the current state of the vehicle with the critical state in MAP, and lack of consideration of dynamic changes in the vehicle state, so the predictability of the algorithm is insufficient.

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