The paper deals with the problem of identifiability of mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential algebra is presented. The conditions of the global identifiability and the persistent excitation are formulated in explicit form for a given set of sensors. It is accompanied with the discussion how to reduce the set of sensors required for engine identification. As a side product it is shown how to use regressors derived for estimation and/or verification of some static nonlinearities using dynamic test data. The results obtained can be used for both model-based FDI (fault detection and isolation) and engine control purposes but mainly for automatic generation of engine test plans and identification.
Identifiability of Turbocharged IC Engine Models
Sae Technical Papers
International Congress & Exposition ; 1999
1999-03-01
Aufsatz (Konferenz)
Englisch
Identifiability of turbocharged internal combustion engine models
Kraftfahrwesen | 1999
|Goetaverken Turbocharged Engine
Engineering Index Backfile | 1955
Goetaverken Turbocharged Engine
Engineering Index Backfile | 1955
Online Contents | 1995
Goetaverken turbocharged engine
Engineering Index Backfile | 1955