Application of Adaptive Kalman Filter for Estimation of Power Train Variables

Event
SAE World Congress & Exhibition
Authors Abstract
Content
The paper presents the estimator design procedures for automotive power train systems based on the adaptive Kalman filter. The Kalman filter adaptation is based on a simple and robust algorithm that detects sudden changes of power train variables. The adaptive Kalman filter has been used to estimate the SI engine load torque and air mass flow, and also the tire traction force and road condition. The presented experimental results indicate that proposed estimators are characterized by favorable response speeds and good noise suppression abilities.
Meta TagsDetails
DOI
https://doi.org/10.4271/2008-01-0585
Pages
12
Citation
Pavković, D., Deur, J., Kolmanovsky, I., and Hrovat, D., "Application of Adaptive Kalman Filter for Estimation of Power Train Variables," SAE Int. J. Passeng. Cars - Mech. Syst. 1(1):480-491, 2009, https://doi.org/10.4271/2008-01-0585.
Additional Details
Publisher
Published
Apr 14, 2008
Product Code
2008-01-0585
Content Type
Journal Article
Language
English