Open AccessA particle filter for ammonia coverage ratio and input simultaneous estimations in Diesel-engine SCR system
Author(s) -
Kangfeng Sun,
Fenzhu Ji,
Xiaoyu Yan,
Kai Jiang,
Shichun Yang
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0192217
Subject(s) - nox , ammonia , selective catalytic reduction , diesel engine , diesel fuel , automotive engineering , environmental science , observer (physics) , diesel particulate filter , computer science , chemistry , engineering , catalysis , physics , biochemistry , organic chemistry , quantum mechanics , combustion
As NOx emissions legislation for Diesel-engines is becoming more stringent than ever before, an aftertreatment system has been widely used in many countries. Specifically, to reduce the NOx emissions, a selective catalytic reduction(SCR) system has become one of the most promising techniques for Diesel-engine vehicle applications. In the SCR system, input ammonia concentration and ammonia coverage ratio are regarded as essential states in the control-oriental model. Currently, an ammonia sensor placed before the SCR Can is a good strategy for the input ammonia concentration value. However, physical sensor would increase the SCR system cost and the ammonia coverage ratio information cannot be directly measured by physical sensor. Aiming to tackle this problem, an observer based on particle filter(PF) is investigated to estimate the input ammonia concentration and ammonia coverage ratio. Simulation results through the experimentally-validated full vehicle simulator cX-Emission show that the performance of observer based on PF is outstanding, and the estimation error is very small.