Leschke A. Algorithm Concept for Crash Detection in Passenger Cars by André Leschke

Springer, 2020 — 289 p. — ISBN: 978-3-658-29391-8.State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident’s severity.Basics of Traffic Safety
Vehicle Structure, Restraint and Electronic Systems
New Algorithm Concept
Model for the Description of Threshold-Based Algorithms
Simulation Model for Component-Specific Local Load
Algorithm for Local Component-Specific Load
First Degree of Freedom: Holdmax Threshold
Data Duality of Crash Intensity Values
Second Degree of Freedom: Selection of Sensors
Third Degree of Freedom: Application
Algorithm Concept for the Classification of Load Cases
Two-Stage Algorithm to Minimize the Number of Sensors
Validation of the Algorithm in Real Crash Tests
Summary and Qutlook