Prediction method of automobile active safety system effectiveness on the basis of collision deformation depth

Abstract

The invention discloses a prediction method of automobile active safety system effectiveness on the basis of collision deformation depth. The prediction method comprises the following steps: 1) determining an automobile group with similarity rigidity; 2) determining a relationship between EES (Energy Equivalent Speed) and the deformation depth and the relationship between the deformation depth and an injury risk; and 3) establishing an accident reconstruction database, building a control system to carry out accident simulation, combining the relationship between the EES and the deformation depth with the relationship between the deformation depth and the injury risk, calculating and comparing whether the injury risk of the safety system in an accident scene is in the presence or not, and obtaining whether the safety system is effective in improving automobile safety through a comparison result. The prediction method discusses and looks forwards a way of utilizing a deformation degree to predict the automobile active safety system effectiveness on an aspect of the reduction of passenger injury risks only on the basis of the accurate deformation degree information in the accident database. Compared with a method which utilizes speed information, the prediction method disclosed by the invention can obtain more accident data support and more comprehensively evaluates the automobile active safety system.

Description

technical field [0001] The present invention relates to the technical field of vehicle safety, in particular to a method for predicting the effectiveness of an automobile active safety system based on the depth of collision deformation, which is an effective prediction method for reducing the risk of occupant injury in an automobile active safety system that has not yet been marketed. Background technique [0002] In recent years, with the development of electronic control technology, the active safety systems of automobiles have become more and more diversified, such as automatic emergency braking system (AutonomousEmergenceBrakingSystem, referred to as AEBS) and emergency steering assist system (EmergenceSteeringAssistant, referred to as ESA) have been introduced in large numbers. The purpose is to try to reduce accident hazards by intervening. In future vehicles, these active safety systems will be widely used. [0003] During the system development process, the technical...

AI Technical Summary

Problems solved by technology

[0005] Therefore, in order to solve the problem of inaccurate prediction of automobile safety systems based on the difficulty of obtaining speed information in the accident database, the present invention provides a method for predicting the effectiveness of automobile active safety systems based on the depth of collision deformation

Images