Online identification and adaptation of LNT models for improved emission control in lean burn automotive engines

Author

Le Yi Wang ; Kolmanovsky, Ilya ; Sun, Jing

Author_Institution

Wayne State Univ., Detroit, MI, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

1006

Abstract

In the absence of online emission measurements, the control of lean burn engine after treatment system is often done in a feedforward fashion based on models of feed gas emissions and the after-treatment subsystems. When the ambient conditions (such as humidity) change or the engine components age, these models are no longer accurate, and the performance of the control system that relies on these models may deteriorate. In this paper, we show how the parameters of a lean NOx trap (LNT) model can be identified online using a conventional switching exhaust gas oxygen sensor to improve robustness of the after treatment control system

Keywords

air pollution control; automobiles; gas sensors; identification; internal combustion engines; real-time systems; NO; automotive engines; emission control; exhaust gas; lean NOx trap model; lean burn engines; online identification; oxygen sensor; Adaptation model; Carbon dioxide; Control system synthesis; Engines; Fuel economy; Gas detectors; Nitrogen; Petroleum; Switches; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2000. Proceedings of the 2000

Conference_Location

Chicago, IL

ISSN

0743-1619

Print_ISBN

0-7803-5519-9

Type

conf

DOI

10.1109/ACC.2000.876652

Filename

876652