DocumentCode
3222974
Title
Assessment of rollover stability based on risk indicator
Author
Bin Wang ; Victorino, Alessandro ; Charara, Ali ; Augsburg, Klaus ; Hopping, Kristian
Author_Institution
HEUDIASYC Lab., Univ. de Technol. de Compiegne, Compiegne, France
fYear
2013
fDate
16-19 April 2013
Firstpage
56
Lastpage
60
Abstract
The presented paper introduces the concept of rollover risk indicator for ground vehicles. The computing procedure of the indicator uses a nonlinear observer based on the extended Kalman filter to estimate vehicle sideslip angle and lateral forces. The simulation test of the developed method is illustrated for a full electric vehicle of small class.
Keywords
Kalman filters; electric vehicles; mechanical stability; nonlinear control systems; observers; road vehicles; vehicle dynamics; extended Kalman filter; full electric vehicle; ground vehicles; lateral forces; nonlinear observer; rollover risk indicator; rollover stability; small class; vehicle sideslip angle; Computational intelligence; Decision support systems; Handheld computers; electric vehicle; extended Kalman filter; lateral force observer; risk indicator; roll stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/CIES.2013.6611729
Filename
6611729
Link To Document