Sviluppo di algoritmi avanzati di analisi e diagnosi combustione in tempo reale per motori endotermici alternativi


Autoria(s): Solieri, Luca
Contribuinte(s)

Moro, Davide

Data(s)

05/05/2009

Resumo

Increasingly stringent exhaust emission limits and higher fuel economy are the main drivers of the engine development process. As a consequence, the complexity of the propulsion units and its subsystems increase, due to the extensive use of sensors and actuators needed to obtain a precise control over the combustion phase. Since engine calibration process consumes most of the development time, new tools and methodologies are needed to shorten the development time and increase the performance attainable. Real time combustion analysis, based on the in-cylinder pressure signal, can significantly improve the calibration of the engine control strategies and the development of new algorithms, giving instantaneous feedback on the engine behavior. A complete combustion analysis and diagnosis system has been developed, capable of evaluating the most important indicators about the combustion process, such as indicated mean effective pressure, heat release, mass fraction burned and knock indexes. Such a tool is built on top of a flexible, modular and affordable hardware platform, capable of satisfying the requirements needed for accuracy and precision, but also enabling the use directly on-board the vehicle, due to its small form factor.

Formato

application/pdf

Identificador

http://amsdottorato.unibo.it/1709/1/solieri_luca_tesi.pdf

urn:nbn:it:unibo-1418

Solieri, Luca (2009) Sviluppo di algoritmi avanzati di analisi e diagnosi combustione in tempo reale per motori endotermici alternativi, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Ingegneria delle macchine e dei sistemi energetici <http://amsdottorato.unibo.it/view/dottorati/DOT263/>, 21 Ciclo. DOI 10.6092/unibo/amsdottorato/1709.

Idioma(s)

it

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amsdottorato.unibo.it/1709/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #ING-IND/08 Macchine a fluido
Tipo

Tesi di dottorato

NonPeerReviewed