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Algorithm Concept for Crash Detection in Passenger Cars

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Algorithm Concept for Crash Detection in Passenger Cars/ by André Leschke.
作者:	Leschke, André.
面頁冊數:	XXXIV, 271 p. 157 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Simulation and Modeling. -
電子資源:	https://doi.org/10.1007/978-3-658-29392-5
ISBN:	9783658293925

Algorithm Concept for Crash Detection in Passenger Cars
Leschke, André.

Algorithm Concept for Crash Detection in Passenger Cars[electronic resource] /by André Leschke. - 1st ed. 2020. - XXXIV, 271 p. 157 illus., 56 illus. in color.online resource.

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.

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.

ISBN: 9783658293925

Standard No.: 10.1007/978-3-658-29392-5doiSubjects--Topical Terms:

669249
Simulation and Modeling.

LC Class. No.: TL1-483

Dewey Class. No.: 629.2

Algorithm Concept for Crash Detection in Passenger Cars
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