DocumentCode
3260078
Title
Evaluation of a Betaless Instantaneous Cornering Stiffness estimation scheme for electric vehicles
Author
Viehweider, Alexander ; Nam, Kwanghee ; Fujimoto, Hiroshi ; Hori, Yoichi
Author_Institution
Dept. of Adv. Energy, Univ. of Tokyo, Kashiwa, Japan
fYear
2012
fDate
21-23 Nov. 2012
Firstpage
272
Lastpage
279
Abstract
This contribution evaluates a new Beta-less Instantaneous Cornering Stiffness (ICS) estimation scheme. It relies on the availability of the lateral tire forces measurement which in near future can be realized with economic (low cost) sensors. The estimation is only available if the change in the tire slip angle is profound enough as it is not the case during constant cornering. However, as it is shown with simulation and experimental results the ICS can be estimated in important vehicle dynamic situation and the information used for lateral tire force saturation detection and control. Additionally, it could be used to shorten the convergence time of "linear" cornering stiffness estimation schemes. Since it requires some derivatives of measured signals, a special signal processing techniques must be applied to overcome inaccuracy due to sensor noise.
Keywords
electric vehicles; signal processing; vehicle dynamics; ICS estimation scheme; betaless instantaneous cornering stiffness estimation scheme; economic sensor; electric vehicles; force control; lateral tire force saturation detection; lateral tire forces measurement; linear cornering stiffness estimation schemes; sensor noise; signal processing techniques; tire slip angle; vehicle dynamic; Control Allocation; Electric vehicle; Instantaneous Cornering Stiffness; Lateral vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics (MECATRONICS) , 2012 9th France-Japan & 7th Europe-Asia Congress on and Research and Education in Mechatronics (REM), 2012 13th Int'l Workshop on
Conference_Location
Paris
Print_ISBN
978-1-4673-4770-9
Electronic_ISBN
978-1-4673-4771-6
Type
conf
DOI
10.1109/MECATRONICS.2012.6451020
Filename
6451020
Link To Document