Extended Kalman Filter to Estimate NO, NO 2 , Hydrocarbon and Temperatures in a DOC during Active Regeneration and Under Steady State Conditions

Paper #:
  • 2015-01-1059

Published:
  • 2015-04-14
DOI:
  • 10.4271/2015-01-1059
Citation:
Surenahalli, H., Parker, G., and Johnson, J., "Extended Kalman Filter to Estimate NO, NO2, Hydrocarbon and Temperatures in a DOC during Active Regeneration and Under Steady State Conditions," SAE Technical Paper 2015-01-1059, 2015, doi:10.4271/2015-01-1059.
Pages:
11
Abstract:
Diesel Oxidation Catalysts (DOC) are used on heavy duty diesel engine applications and experience large internal temperature variations from 150 to 600°C. The DOC oxidizes the CO and HC in the exhaust to CO2 and H2O and oxidizes NO to NO2. The oxidation reactions are functions of its internal temperatures. Hence, accurate estimation of internal temperatures is important both for onboard diagnostic and aftertreatment closed loop control strategies. This paper focuses on the development of a reduced order model and an Extended Kalman Filter (EKF) state estimator for a DOC. The reduced order model simulation results are compared to experimental data. This is important since the reduced order model is used in the EKF estimator to predict the CO, NO, NO2 and HC concentrations in the DOC and at the outlet. The estimator was exercised using transient drive cycle engine data. The closed loop EKF improves the temperature estimate inside the DOC compared to the open loop estimator. This is supported by the lower error in the estimated NO2 concentrations at the DOC outlet. The data used for both the modeling and estimator studies were obtained using a 2010 Cummins ISB engine with a production Cummins aftertreatment system consisting of a DOC, Catalyzed Particulate Filter (CPF) and Selective Catalytic Reduction (SCR) components.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Training / Education
2012-08-27
Technical Paper / Journal Article
2010-10-19
Technical Paper / Journal Article
2010-10-25
Article
2016-11-11
Training / Education
2017-06-15
Article
2016-09-06