Title :
Road gradient detection using Kalman filter
Author :
Katranitsas, Panagiotis F. ; Ordys, Andrzej W. ; Darnell, P.M. ; Jimmy, Jose
Author_Institution :
Sch. of Mech. & Automotive Eng., Kingston Univ. London, London, UK
Abstract :
Accurate, real-time knowledge of the road inclination is necessary for in-car electronic systems which are related to battery recharging system, electric motor, engine and gearbox control units. When the vehicle is moving, the measurement of the slope is not straightforward. The force measured by the inclination or acceleration sensors is coupled with the force due to the vehicle acceleration. This research examines the application of Kalman filter to estimate the road inclination. Furthermore, it compares the performance of the Kalman filter approach against the acceleration discrepancy method which is currently used by some car manufactures.
Keywords :
Kalman filters; accelerometers; automotive electronics; road vehicles; roads; Kalman filter; acceleration discrepancy method; acceleration sensors; battery recharging system; electric motor; engine; gearbox control units; in-car electronic systems; inclination sensors; road gradient detection; road inclination; vehicle acceleration; Acceleration; Engines; Kalman filters; Roads; Sensors; Torque; Vehicles; Acceleration Discrepancy; Kalman Filter; Slope Detection; Vehicle Model; in-car electronics;
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
DOI :
10.1109/EUROCON.2013.6625175