Data-driven algorithm to estimate friction in automobile engine

Alexander A. Stotsky

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

Algorithms based on the oscillations of the engine angular rotational speed under fuel cutoff and no-load were proposed for estimation of the engine friction torque. The recursive algorithm to restore the periodic signal is used to calculate the amplitude of the engine speed signal at fuel cutoff. The values of the friction torque in the corresponding table entries are updated at acquiring new measurements of the friction moment. A new, data-driven algorithm for table adaptation on the basis of stepwise regression was developed and verified using the six-cylinder Volvo engine.
OriginalsprogEngelsk
TidsskriftAutomation and Remote Control
Vol/bind71
Udgave nummer6
Sider (fra-til)1135-1146
Antal sider11
ISSN0005-1179
DOI
StatusUdgivet - jun. 2010

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