Rollover warning method and rollover warning device for heavy vehicle

Abstract

The invention belongs to the technical field of vehicle active safety, and particularly provides a rollover warning method and a rollover warning device for a heavy vehicle. The rollover warning method and the rollover warning device are low in cost, are free of influence on heavy vehicle load and mass center height, and can warn impending rollover accidents of the heavy vehicle in the next period of time in advance. The method solves the problem that an existing heavy vehicle rollover warning method can warn a vehicle rollover risk in a static threshold value mode but cannot warn an impending rollover accident to a driver in advance. The rollover warning method adopts a classical Kalman filtering technology to simplify a rollover warning model in a combination mode, the motion state of the heavy vehicle is accurately estimated, and then a TTR algorithm is utilized for predicting the rollover risks in the next period of time. The warning algorithm has better universality, and meanwhile prevents inaccurate or invalid warning caused by the changes such as the load, center-of-gravity position and rotary inertia of the heavy vehicle.

Description

technical field [0001] The invention belongs to the technical field of automobile active safety, and in particular relates to a method and device for a real-time active safety early warning of rollover danger of a heavy vehicle. Background technique [0002] Rollover accidents are the most dangerous accidents for heavy vehicles, and when a rollover accident occurs, almost all drivers cannot perceive the occurrence of the rollover. According to statistics from the University of Michigan Transportation Research Center (UMTRI), from 2002 to 2006, there were an average of 5,200 rollover accidents of various heavy commercial vehicles in the United States every year. At the same time, the annual number of deaths from heavy commercial vehicle rollover accidents also increased from 5,314 in 2002 to 5,537 in 2006. Vehicle rollover has become an important problem that destroys life, property and traffic safety. Therefore, the driving safety of heavy vehicles, especially the research...

AI Technical Summary

Problems solved by technology

Such methods are simpler, but do not give the driver early warning of an impending rollover hazard

In 2001, Chen and Peng proposed a rollover warning algorithm using Time to Rollover (TTR) prediction. In order to improve the accuracy of TTR value, the algorithm uses neural network technology, but it affects the real-time performance of the algorithm.

CN10119658 discloses a truck rollover warning device based on lateral acceleration, but the above-mentioned patents are all based on a static threshold (lateral acceleration threshold) to determine the risk of rollover. Unpredictable danger

At the same time, due to frequent changes in parameters such as the load, center of gravity, and moment of inertia of heavy vehicles, the early warning is inaccurate or invalid

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