2001
DOI: 10.1109/87.918896
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Extracting physical parameters from system identification of a natural gas engine

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Cited by 16 publications
(2 citation statements)
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“…Brake thermal efficiency, η thermal represents the overall efficiency of the engine, or the ratio of the amount of usable power extracted from the combustion process to the available fuel power and is an important parameter to estimate the torque produced by the engine. In Gangopadhyay 22 , η thermal is identified to be a function of the normalized AFR, λ and the spark ignition timing, θ . For this engine, it was observed that the effect of spark timing on brake thermal efficiency was not dominant and therefore, in this paper, an analytical model which is dependent only on AFR, as shown in equation (16) is chosen.…”
Section: Control-oriented Engine Modelingmentioning
confidence: 99%
“…Brake thermal efficiency, η thermal represents the overall efficiency of the engine, or the ratio of the amount of usable power extracted from the combustion process to the available fuel power and is an important parameter to estimate the torque produced by the engine. In Gangopadhyay 22 , η thermal is identified to be a function of the normalized AFR, λ and the spark ignition timing, θ . For this engine, it was observed that the effect of spark timing on brake thermal efficiency was not dominant and therefore, in this paper, an analytical model which is dependent only on AFR, as shown in equation (16) is chosen.…”
Section: Control-oriented Engine Modelingmentioning
confidence: 99%
“…Pour ce faire, il procède à la phase usuellement dénommée identication qui s'appuie sur des lois statistiques †Actuellement à l'École Supérieure d'Ingénieurs en Élec-tronique et Électrotechnique, Antenne de Sophia-Antipolis, rue Albert Einstein, BP 085, 06902 Sophia-Antipolis, Email : igierc@esiee.fr pour aboutir à un modèle qualié de boîte noire ou de représentation [2,3]. Cependant, dans un grand nombre de domaines applicatifs comme la robotique ( [4,5,6]), la mécanique ( [7,8]), l'électrotech-nique ( [9,10,11,12,13]) et l'automobile ( [14,15,16]), il ne sut pas de disposer d'un modèle falsiant de façon satisfaisante les données expérimentales, il faut en plus que celui-ci ait des paramètres qui puissent avoir un sens pour le spécialiste du domaine d'application. Pour obtenir de tels modèles dits deconnaissance ou boîte blanche, les lois de la physique sont classiquement exploitées.…”
Section: Introductionunclassified