Time varying interactive Kalman filtering heavy-haul freight car leveled rollover early warning method

Abstract

The present invention relates to the technical field of heavy-haul freight car rollover early warning, and discloses a time varying interactive Kalman filtering heavy-haul freight car leveled rolloverearly warning method. A vehicle rigid model is taken as a physical model for analyzing freight car rollover threshold, a multi-modal sensor is employed to perform collection of index data of a vehicle travelling accelerated speed, angle deviation and road humidity, the collected data is concentrated on a main control chip, and a fusion data execution technology of time varying Kalman filtering and a quaternion algorithm is employed to complete data processing and perform mechanical analysis of the rigid model to obtain a rollover condition equation, namely a condition of determining freight car rollover. The time varying interactive Kalman filtering heavy-haul freight car leveled rollover early warning method can improve the heavy-haul freight car travelling safety and traveling stability, can achieve leveled early warning management of the traveling condition of the freight car, can provide more reliable data for the safe and optimized design for a freight car system, can remarkablyimprove the safety awareness of freight car drivers and can reduce the generation of traffic safety accidents.

Description

technical field [0001] The invention relates to the technical field of rollover early warning of heavy-duty trucks, in particular to a hierarchical rollover early warning method of heavy-duty trucks with time-varying interactive Kalman filtering. Background technique [0002] With the development of expressways, the road transport industry with multi-style heavy vehicles as the carrier ushered in a vigorous development. At the same time, when heavy vehicles are running at high speed, especially when the load is too heavy, they are prone to rollover and other dangerous working conditions. The number of traffic accidents has been high. The stability and safety of heavy vehicles have become constraints on the road Bottleneck in the development of transportation. [0003] Rollover is one of the most serious accidents that threaten the safety of members during the driving of a car. According to the NHTSA study of the US Highway Safety Administration, the damage caused by the ro...

AI Technical Summary

Problems solved by technology

In 2003, Chen first proposed a vehicle rollover warning method based on the vehicle rollover model to predict the rollover time TTR. This algorithm strives to improve the accuracy, but the lack of running speed of the algorithm restricts its practicability

[0011] To sum up, at present, most rollover warning algorithms at home and abroad do not consider the time-varying nature of data, and there is interaction between data, and existing patents also have many defects in physical structure, data analysis, etc., so it is difficult to accurately predict Risk of the vehicle rolling over at a future moment

Images