Markus Hirsch, Luigi del Re,
"Sequential Identification of Engine Subsystems by Optimal Input Design"
, in Proceedings of the 9th Internatonal Conference on Engine and Vehicles, 9-2009
Sequential Identification of Engine Subsystems by Optimal Input Design
Sprache des Titels:
Complexity and nonlinearity of engines makes precise first principle engine models often difficult to obtain, as for instance for emissions. System identification is a well known possible alternative, successfully used in several automotive applications. In most cases system identification is concerned with the estimation of the unknown parameters of a known set of equations. Unfortunately, for many engine subsystems, there is no sufficiently precise or real time suitable model. This paper presents a sequential algorithm which allows to derive real time suitable models on line by a combination of model structure hypothesis of increasing complexity and an associated optimal input design and selection process. This paper introduces the method and shows its use both for a rather simple and a very difficult engine identification task, a dynamical model of the airpath of a Diesel engine and a dynamical model of nitrogen oxides and particulate matter.
Sprache der Kurzfassung:
Proceedings of the 9th Internatonal Conference on Engine and Vehicles
Anzahl der Seiten:
Notiz zur Publikation:
SAE ICE 2009, 9th International Conference on Engines and Vehicles, 14-17 Sept. 2009, Capri, Italy.