DocumentCode :
2622622
Title :
A rollover indicator based on the prediction of the load transfer in presence of sliding: application to an All Terrain Vehicle
Author :
Bouton, Nicolas ; Lenain, Roland ; Thuilot, Benoit ; Fauroux, Jean-Christophe
Author_Institution :
Cemagref, Aubiere
fYear :
2007
fDate :
10-14 April 2007
Firstpage :
1158
Lastpage :
1163
Abstract :
The lateral rollover of quad bikes represents a significant part of severe accidents in the field of agricultural work. The specificities of such vehicles (small wheelbase, track and weight, as well as high speed), together with the terrain configuration (off-road environment) prevent from describing rollover occurrence as it is proposed for car-like vehicles. In particular, sliding effects significantly affects the evaluation of the rollover risk. This paper proposes a rollover risk indicator dedicated to off-road vehicles, taking into account the environment properties and more particularly the grip condition and its variation. It is based on the prediction of the lateral load transfer relying on vehicles models including sliding effects. This indicator can be run on-line when the vehicle is moving. It allows anticipating a potential danger, and could then be used to design security systems. Performances of this indicator are demonstrated using the multibody dynamic simulation software Adams.
Keywords :
risk analysis; stability; vehicle dynamics; Adams software; all terrain vehicle; grip condition; lateral rollover; load transfer prediction; multibody dynamic simulation; off-road environment; quad bikes; risk indicator; rollover indicator; sliding; terrain configuration; Accidents; Bars; Bicycles; HDTV; Land vehicles; Predictive models; Road vehicles; Security; Tires; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location :
Roma
ISSN :
1050-4729
Print_ISBN :
1-4244-0601-3
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2007.363141
Filename :
4209245
Link To Document :
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