Advertisement

© 2020

Algorithm Concept for Crash Detection in Passenger Cars

Book
  • 2.7k Downloads

Table of contents

  1. Front Matter
    Pages I-XXXIV
  2. André Leschke
    Pages 1-10
  3. State-of-the-Art

    1. Front Matter
      Pages 11-11
    2. André Leschke
      Pages 13-22
  4. New Algorithm Concept and Simulation Model

    1. Front Matter
      Pages 61-61
    2. André Leschke
      Pages 63-86
  5. Methods and Results

    1. Front Matter
      Pages 107-107
    2. André Leschke
      Pages 109-117
    3. André Leschke
      Pages 119-139
    4. André Leschke
      Pages 141-158
    5. André Leschke
      Pages 159-175
    6. André Leschke
      Pages 177-203
    7. André Leschke
      Pages 257-261
  6. Back Matter
    Pages 263-271

About this book

Introduction

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.

Contents
  • State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection 
  • Model Proposal for the Description of Threshold-based Algorithms
  • Simulation Model for Component-specific Local Loading
  • New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases
Target Groups
  • Scientists and students in the field of automotive and mechanical engineering
  • Engineers working in industrial research and development of vehicle safety
About the Author
Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.

Keywords

Crash detection Passenger cars Car safety Crash algorithm Threshold-based algorithms Airbag control unit Restraint systems Crash sensor Vehicle structure Airbag algorithms Crash simulation Generic algorithm model

Authors and affiliations

  1. 1.Volkswagen Group (Germany)WolfsburgGermany

About the authors

Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.

Bibliographic information

Industry Sectors
Automotive
Chemical Manufacturing
Electronics
Telecommunications
Consumer Packaged Goods
Pharma
Materials & Steel
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering