Purpose of the study is to improve the base calibration process of engine Electronic Control Unit (ECU) through the use of 0D-1D CFD engine models coupled to a physics-based model of the engine frictions. Once reliably calibrated, the overall engine model can be used to reduce the experimental effort of the base calibration process. In this paper a specific methodology based on the vector optimization approach is also proposed in order to reliably calibrate the numerical friction model. This methodology was applied to an engine crank mechanism model adopting specific friction sub models, generated using a multibody approach. The vector optimization problem was solved using experimental engine friction data measured in 13 operating conditions: the comparison between numerical results and experimental data highlights how the proposed modelling approach can be effectively adopted to simulate the friction losses, since the average error is about 5%. Therefore, coupling reliably calibrated friction models to 0D-1D CFD engine models could be useful to improve the estimation of the main engine quantities to be used in the base calibration process.

Crank Mechanism Friction Modeling for Control-Oriented Applications / Brancati, R.; Muccillo, M.; Tufano, F.. - 91:(2021), pp. 729-737. (Intervento presentato al convegno IFIT 2020 tenutosi a Napoli nel 9 - 11 settembre 2020) [10.1007/978-3-030-55807-9_81].

Crank Mechanism Friction Modeling for Control-Oriented Applications

Brancati R.;Muccillo M.;Tufano F.
2021

Abstract

Purpose of the study is to improve the base calibration process of engine Electronic Control Unit (ECU) through the use of 0D-1D CFD engine models coupled to a physics-based model of the engine frictions. Once reliably calibrated, the overall engine model can be used to reduce the experimental effort of the base calibration process. In this paper a specific methodology based on the vector optimization approach is also proposed in order to reliably calibrate the numerical friction model. This methodology was applied to an engine crank mechanism model adopting specific friction sub models, generated using a multibody approach. The vector optimization problem was solved using experimental engine friction data measured in 13 operating conditions: the comparison between numerical results and experimental data highlights how the proposed modelling approach can be effectively adopted to simulate the friction losses, since the average error is about 5%. Therefore, coupling reliably calibrated friction models to 0D-1D CFD engine models could be useful to improve the estimation of the main engine quantities to be used in the base calibration process.
2021
978-3-030-55806-2
978-3-030-55807-9
Crank Mechanism Friction Modeling for Control-Oriented Applications / Brancati, R.; Muccillo, M.; Tufano, F.. - 91:(2021), pp. 729-737. (Intervento presentato al convegno IFIT 2020 tenutosi a Napoli nel 9 - 11 settembre 2020) [10.1007/978-3-030-55807-9_81].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/831005
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