Application of input estimation techniques to charge estimation and control in automotive engines

Abstract The performance of control, estimation and diagnostics algorithms of modern automotive engine management systems can be significantly enhanced using input observers. This paper describes several case studies along these lines in the area of charge estimation and control for gasoline and diesel engines, and illustrates the conclusions with experimental results obtained from a vehicle and from an engine dynamometer. A self-contained overview of some of the popular input estimation techniques and their properties is provided. Pointers are given that show how input estimators can be integrated within more complex adaptation and control algorithms using specific automotive applications as examples.

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