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Summary & Details

A Numerical Model for the Virtual Calibration of a Highly Efficient Spark Ignition Engine

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20239247

Paper/Info type: Other International Conferences

Pages: 1-9(Total 9 p)

Date of publication: Aug 2023

Publisher: JSAE & SAE

Language: English

Event: 2023 P, E&L

Detailed Information

Category(E)	IC1 SI Injection and Combustion, High Efficiency, Optimization of Engine Operating Area
Author(E)	1) Luciano Rolando, 2) Federico Millo, 3) Giuseppe Castellano, 4) Toni Tahtouh, 5) Mathieu Andre, 6) Francesco Bocchieri
Affiliation(E)	1) Politecnico di Torino, 2) Politecnico di Torino, 3) Politecnico di Torino, 4) IFP Energies nouvelles I.Carnot IFPEN TE, 5) IFP Energies nouvelles I.Carnot IFPEN TE, 6) FEV Italia s.r.l.
Abstract(E)	Nowadays numerical simulations play a major role in the development of future sustainable powertrain thanks to their capability of investigating a wide spectrum of innovative technologies with times and costs significantly lower than a campaign of experimental tests. In such a framework, this paper aims to assess the predictive capabilities of an engine model developed to support the design of the innovative highly efficiency spark ignition engine of the PHOENICE EU H2020 project. As a matter of fact, the availability of a reliable simulation platform is crucial to achieve the project target of 47% indicating peak efficiency, by synergistically exploiting the combination of innovative in-cylinder charge motion, Miller cycle with high compression ratio, lean mixture with cooled EGR and electrified turbocharger. Since the engine operates in highly diluted conditions, particular attention was devoted to the definition of a reliable combustion model in order to properly predict the burn duration and the occurrence of abnormal combustion phenomena. A preliminary set of experimental data measured at 3000 RPM and 7 bar BMEP including both EGR and  variations, was used to extend the predictive capabilities of the model. Finally, the calibrated virtual test rig was exploited to perform a preliminary calibration of the engine on the whole operating map.

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