Application of Adaptive Kalman Filter for Estimation of Power Train Variables (CROSBI ID 534677)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pavković, Danijel ; Deur, Joško ; Kolmanovsky, Ilya ; Hrovat, Davor
engleski
Application of Adaptive Kalman Filter for Estimation of Power Train Variables
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.
Adaptive Kalman filter; estimation; load torque; air mass flow; tire friction; road condition
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Podaci o prilogu
1-12.
2008.
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objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
2008 SAE World Congress
predavanje
14.04.2008-17.04.2008
Detroit (MI), Sjedinjene Američke Države