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research-article

A comprehensive model for the auto-ignition prediction in SI engines fuelled with mixtures of gasoline and methane based fuel

[+] Author and Article Information
Emiliano Pipitone

University of Palermo
emiliano.pipitone@unipa.it

Stefano Beccari

University of Palermo
stefano.beccari@unipa.it

1Corresponding author.

ASME doi:10.1115/1.4041675 History: Received June 07, 2018; Revised October 01, 2018

Abstract

The introduction of natural gas (NG) in the road transport market is proceeding through bi-fuel vehicles, which, endowed of a double injection system, can run either with gasoline or with NG. A third possibility is the simultaneous combustion of NG and gasoline, called Double-Fuel (DF) combustion: the addition of methane to gasoline allows to run the engine with stoichiometric air even at full load, without knocking phenomena, increasing engine efficiency of about 26% and cutting pollutant emissions by 90%. The introduction of DF combustion into series production vehicles requires however proper engine calibration (i.e. determination of DF injection and spark timing maps), a process which is drastically shortened by the use of computer simulations (with a 0D two zone approach for in-cylinder processes). An original knock onset prediction model is here proposed to be employed in zero-dimensional simulations for knock-safe performances optimization of engines fueled by gasoline-NG mixtures or gasoline-methane mixtures. The model takes into account the NTC behavior of fuels and has been calibrated using a considerable amount of knocking in-cylinder pressure cycles acquired on a Cooperative Fuel Research engine widely varying compression ratio, inlet temperature, spark advance and fuel mixture composition, thus giving the model a general validity for the simulation of naturally aspirated or supercharged engines. As a result, the auto-ignition onset is predicted with maximum and mean error of 4.5 and 1.4 deg respectively, which is a negligible quantity from an engine control standpoint.

Copyright (c) 2018 by ASME
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