DocumentCode :
397795
Title :
Longitudinal road gradient estimation using vehicle CAN bus data
Author :
Mangan, S. ; Wang, J. ; Wu, Q.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
Volume :
3
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
2336
Abstract :
Knowledge of the longitudinal road gradient can be used by Advanced Cruise Control (ACC) and automatic transmission control systems to provide more accurate longitudinal velocity control. This paper presents a method of estimating the longitudinal road gradient just using the available vehicle CAN bus data. This method ensures that no extra sensors need to be added to the vehicle, and therefore there is no added cost to the vehicle. The gradient estimation algorithm is developed combining vehicle modelling techniques and parameter estimation methods. A simple longitudinal acceleration vehicle model is derived using standard vehicle model equations. The unknown longitudinal gradient parameter is then estimated using the data available on the CAN bus.
Keywords :
controller area networks; gradient methods; parameter estimation; vehicles; velocity control; ACC; advanced cruise control; automatic transmission control systems; controller area network bus data; longitudinal acceleration vehicle model equations; longitudinal gradient parameter; longitudinal road gradient estimation algorithm; longitudinal velocity control; parameter estimation methods; sensors; vehicle CAN bus data; vehicle modelling techniques; Automatic control; Control systems; Costs; Parameter estimation; Radar tracking; Road vehicles; Signal processing algorithms; Vehicle detection; Vehicle driving; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1244233
Filename :
1244233
Link To Document :
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