Model-based Control of Automotive Selective Catalytic Reduction Systems with Road Grade Preview

Yao Ma, Junmin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


This paper introduces a model-based control method for automotive selective catalytic reduction (SCR) systems with preview information of road grade. SCR systems have been widely adopted in Diesel powered ground vehicles to reduce tailpipe NOxemissions. The major control problem is to properly design the ammonia dosing strategy that can efficiently remove NOxwithout generating excessive NH3 slip at the tailpipe. While most existing methods only utilize sensor feedback information to design controllers, the SCR controller performance can be improved by incorporating preview of road information such that the controller can act in a proactive fashion and reduce emissions over the whole trip. Road grade impact on vehicle SCR system is investigated in this paper. A corresponding controller with explicit consideration of preview road grade is developed and verified in a simulation environment. Comparison results under the US06 test cycle are presented to demonstrate the efficiency improvement of the proposed controller.

Original languageEnglish
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781538654286
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2018 Annual American Control Conference, ACC 2018
Country/TerritoryUnited States


  • Diesel engine
  • SCR
  • emission control
  • road preview


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