Pregled bibliografske jedinice broj: 388557
Application of Adaptive Kalman Filter for Estimation of Power Train Variables
Application of Adaptive Kalman Filter for Estimation of Power Train Variables // SAE International journal of passenger cars. Mechanical systems, 1 (2008), 1; 480-491 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 388557 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Adaptive Kalman Filter for Estimation of Power Train Variables
Autori
Pavković, Danijel ; Deur, Joško ; Kolmanovsky, Ilya ; Hrovat, Davor
Izvornik
SAE International journal of passenger cars. Mechanical systems (1946-3995) 1
(2008), 1;
480-491
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Adaptive Kalman filter; powertrain estimation; road condition estimation
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120-0361621-1896 - MODELIRANJE I UPRAVLJANJE HIBRIDNIM VOZILIMA (Petrić, Joško, MZOS ) ( CroRIS)
120-1201773-1771 - Regulacija i estimacija dinamike vozila (Deur, Joško, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
