Articolo in rivista, 2013, ENG, 10.1016/j.ymssp.2012.12.009

Determination of combustion parameters using engine crankshaft speed

F.Taglialatela, M.Lavorgna, E.Mancaruso, B.M.Vaglieco

F.Taglialatela - Automotive Product Group-AED,StMicroelectronics; M.Lavorgna - Automotive Product Group-AED,StMicroelectronics

Electronic engine controls based on real time diagnosis of combustion process can significantly help incompling with the stricter and stricter regulations on pollutants emissions and fuel consumption.Themost important parameter for hee valuation of combustion quality in internal combustion engine sisthein-cylinder pressure, butits direct measurement is very expensive and involves an intrusive approach to the cylinder.Previous researches demonstrated the direct relationship existing between in-cylinder pressure and engine crankshaft speed and several authors triedtore construct the pressure cycle on the basis of the engine speed signal. In this paper we propose the use of a Multi-Layer Percept ronneural network to model the relationship between the engine crank shaft speed and some parameters derived from the in-cylinder pressure cycle.This allows to have an on-intrusive estimation of cylinder pressure and are altime evaluation of combustion quality. Thestructureofthemodel and thetrainingprocedureisoutlinedinthepaper.Apossiblecombustioncontroller usingtheinformationextractedfromthecrankshaftspeedinformationisalsoproposed. The application of the neural network model is demonstrated on a single-cylinder spark ignition engine tested in a wider ange of speeds and loads.Results confirm tha ta good estimation of some combustion pressure parameters can be obtained by means of a suitable processing of crank shaft speed signal.

Mechanical systems and signal processing 38 (2), pp. 628–633

Keywords

Combustion control, Cylinder pressure, Crankshaft engine speed, Neural network, Combustion parameters

CNR authors

Mancaruso Ezio, Vaglieco Bianca Maria

CNR institutes

IM – Istituto motori

ID: 222308

Year: 2013

Type: Articolo in rivista

Creation: 2013-06-04 13:01:13.000

Last update: 2020-05-24 09:39:55.000

CNR institutes

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:222308

DOI: 10.1016/j.ymssp.2012.12.009

ISI Web of Science (WOS): 000320835800023

Scopus: 2-s2.0-84878288358