Online prediction method and system for automobile steering control characteristics

Abstract

The invention discloses an online prediction method and system for automobile steering control characteristics. The method comprises the steps that the real-time steering wheel angle value and the real-time motor rotating speed of an automobile are collected, and the predicted yaw angular velocity of the automobile at the next moment is calculated according to a yaw angular velocity steady-state response equation which is obtained after parameters are predicted through a Kalman filter; and the yaw angular velocity of the automobile is controlled according to the calculated predicted yaw angular velocity. According to the method, the yaw angular velocity steady-state response equation conforming to the movement performance of the automobile can be obtained, accordingly, online prediction of the automobile control characteristics is achieved; and prediction is conducted through the method so that the environmental change or the change brought by time lapse can be considered, the change of the automobile steering control characteristics is accurately predicted, stability is high, accuracy is high, and therefore the method can be widely applied to the industry for controlling electric automobiles.

Description

technical field [0001] The invention relates to the field of automatic control of electric vehicles, in particular to an on-line prediction method and system for vehicle steering characteristics. Background technique [0002] Glossary: [0003] Kalman filter: The Kalman filter is a recursive filter for time-varying linear systems. The system can be described by a differential equation model containing orthogonal state variables, and this filter combines past measurement estimation errors into new measurement errors to estimate future errors. [0004] EPS transmission ratio: the proportional relationship between the steering wheel angle and the front wheel angle. [0005] With the rapid development of automobile technology, automobile intelligent technology has become one of the development trends. At present, the estimation of vehicle steering handling characteristics plays a very important role in the development of intelligent driving assistance technology. At present,...

AI Technical Summary

Problems solved by technology

Generally speaking, the current prediction methods or analysis methods for the steering characteristics of automobiles have low accuracy, do not consider the changes in the steering characteristics of automobiles caused by changes in the use environment or time, have poor stability, and are difficult to effectively predict the steering characteristics of automobiles. Steering manipulation characteristics, resulting in certain limitations in its application effect

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