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Prediction of Oxygen Storage Capacity and Stored NOx by HEGO Sensors for Improved LNT Control Strategies

[+] Author Affiliations
Le Yi Wang

Wayne State University, Detroit, MI

Yong-Wha Kim, Jing Sun

Ford Motor Company, Dearborn, MI

Paper No. IMECE2002-32158, pp. 777-785; 9 pages
  • ASME 2002 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control
  • New Orleans, Louisiana, USA, November 17–22, 2002
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-3629-0 | eISBN: 0-7918-1691-5, 0-7918-1692-3, 0-7918-1693-1
  • Copyright © 2002 by ASME


In the absence of on-line emission measurements, the control of lean burn engine aftertreatment system must be implemented by using models of feedgas emissions and the aftertreatment subsystems, together with measured variables such as mass air flow rate, feedgas and tailpipe relative air-to-fuel ratios, etc. In particular, accurate estimation of stored oxygen and NOx in the LNT is of critical importance. When the ambient conditions (such as humidity, LNT brick temperature, and sulfur poisoning) change or the engine components age, oxygen storage capacity and NOx amount in the LNT vary significantly, and the performance of the control system that relies on these variables may deteriorate if the accuracy of the estimate deteriorates with the change in hardware. In this paper, we show that voltage trajectories of a tailpipe HEGO sensor can provide sufficient information to predict oxygen capacity during storage phase and stored NOx during purge phase of an lean NOx trap (LNT). This result can be used to provide accurate prediction of the termination time of purge operation, leading to improved control strategies for LNT operation. This finding also indicates that more expensive UEGO sensors can be avoided without tangible performance penalty on LNT control.

Copyright © 2002 by ASME



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