DSCC 2013 Paper Abstract


Paper MoCT1.6

Chen, Song (McMaster University), Yan, Fengjun (McMaster University)

Cycle-By-Cycle Based In-Cylinder Temperature Estimation for Diesel Engines

Scheduled for presentation during the Invited session "System Identification and Estimation for Automotive Applications" (MoCT1), Monday, October 21, 2013, 17:40−18:00, Paul Brest East

6th Annual Dynamic Systems and Control Conference, October 21-23, 2020, Stanford University, Munger Center, Palo Alto, CA

This information is tentative and subject to change. Compiled on October 30, 2020

Keywords Kalman filtering, Estimation, Engine/Powertrain Systems


The in-cylinder temperature information is critical in the field of auto-ignition control in advanced combustion modes. However, the in-cylinder temperature is hard to be directly measured at low cost in production engines. In this paper, a cycle-by-cycle estimation method is proposed for the in-cylinder temperature at the crank angle of intake valve closing (IVC). Through investigating the thermodynamics of the in-cylinder temperture, an Extended Kalman Filter (EKF) based method was devised by utilizing the measurable temperature information from the intake and exhaust manifolds. The proposed method was validated through high-fidelity GT-Power engine model simulation.


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