Method for predicting stability of vehicles

Abstract

The invention provides a method for predicting the stability of vehicles, and belongs to the field of automotive technologies, and the method can be used for solving the problem that in the prior art, methods for predicting the stability of vehicles are not high in accuracy and low in reliability. The method comprises the following steps: S10, detecting an acting force Fi exerted on each wheel of a target vehicle by the ground; S20, analyzing and calculating a force-center coordinate vector as shown in the specification of the target vehicle; and S30, substituting the force-center coordinate vector as shown in the specification into a vehicle force-center / stability transfer function which is as shown in the specification and is pre-stored in a vehicle-mounted controller of the target vehicle so as to calculate a stability signal Scar of the target vehicle, and according to the value of the stability signal Scar, judging the current stability state of the target vehicle; a test vehicle and the target vehicle are same in type or similar in technical parameter, the test vehicle is defined as a vehicle for calibrating test data under experimental conditions, and the target vehicle is defined as a vehicle normally running on the road. The judging process in the method is simple and convenient, and the method is accurate in judgment and high in reliability.

Description

technical field [0001] The invention belongs to the technical field of vehicle body stability control, and relates to a method for predicting vehicle stability. Background technique [0002] A rollover accident is the most dangerous accident for a vehicle, and when a rollover accident occurs, almost all drivers cannot perceive the occurrence of the rollover. Vehicle rollover has become an important problem that destroys life, property and traffic safety. Therefore, the driving safety of vehicles, especially the research on early warning technology, has attracted the attention of scholars at home and abroad. Statistical analysis of traffic accidents in Europe and North America shows that vehicle rollovers account for 5% of traffic accidents that cause personal injury and 20% of traffic accidents that cause fatalities. [0003] The United States, Canada, Germany, Japan and other countries started research in the field of vehicle rollover early warning, and many automobile ma...

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.

Therefore, the effect is not good in actual use, and the expected requirements are not met. The root cause is this

Images