High-Frequency Exhaust Port Pressure Estimation Using a Reduced Order Wave Action Model

Stephanie Stockar, Marcello Canova, Baitao Xiao, Julia Buckland, Wen Dai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper presents a novel approach for model-based estimation of the crank-angle resolved port pressure and valve flow rate based on an observer that estimates the pressure wave propagation dynamics in the engine manifolds. This paper illustrates an early proof of this concept, focusing on estimating the exhaust port pressure of a single cylinder gasoline engine where pressure fluctuations are larger and temperature is higher compared to the intake side. Starting from a reduced-order model of the system, an Extended Kalman Filter is designed to estimate pressure and flow rate in the exhaust system using a high-frequency measurement of the cylinder pressure. Simulation results show that the observer converges quickly during the early portion of the exhaust phase and that the port pressure is estimated accurately during the valve overlap phase.

Original languageEnglish (US)
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


Other2018 Annual American Control Conference, ACC 2018
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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