TY - GEN
T1 - High-Frequency Exhaust Port Pressure Estimation Using a Reduced Order Wave Action Model
AU - Stockar, Stephanie
AU - Canova, Marcello
AU - Xiao, Baitao
AU - Buckland, Julia
AU - Dai, Wen
N1 - Funding Information:
This work was supported by the Ford Motor Company - University Research Program S. Stockar is with the Department of Mechanical and Nuclear Engineering, Penn State University, 16802 University Park, PA, USA [email protected] M. Canova is with the Department of Mechanical and Aerospace Engineering and the Center for Automotive Research (CAR), The Ohio State University, 43212 Columbus, OH, USA W. Dai, B. Xiao and J. Buckland are with Ford Motor Company, 48126 Dearborn , MI, USA
Funding Information:
VII. ACKNOWLEDGMENTS The authors gratefully acknowledge the support from the Ford Motor Company University Research Program (URP).
Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - 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.
AB - 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.
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U2 - 10.23919/ACC.2018.8430944
DO - 10.23919/ACC.2018.8430944
M3 - Conference contribution
AN - SCOPUS:85052561273
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 2431
EP - 2436
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -