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Avtomatika i Telemekhanika, 2010, Issue 6, Pages 175–188 (Mi at839)  

Control Hardware

Data-driven algorithm to estimate friction in automobile engine

A. A. Stotskiy

Aalborg University, Esbjerg, Denmark
References:
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.
Presented by the member of Editorial Board: V. N. Bukov

Received: 04.12.2008
English version:
Automation and Remote Control, 2010, Volume 71, Issue 6, Pages 1135–1146
DOI: https://doi.org/10.1134/S0005117910060147
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Stotskiy, “Data-driven algorithm to estimate friction in automobile engine”, Avtomat. i Telemekh., 2010, no. 6, 175–188; Autom. Remote Control, 71:6 (2010), 1135–1146
Citation in format AMSBIB
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\paper Data-driven algorithm to estimate friction in automobile engine
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\pages 175--188
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\jour Autom. Remote Control
\yr 2010
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\issue 6
\pages 1135--1146
\crossref{https://doi.org/10.1134/S0005117910060147}
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    Avtomatika i Telemekhanika
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