Recursive Engine In-Cylinder Pressure Estimation Using Kalman Filter and Structural Vibration Signal

Abstract The cylinder pressure signal is a very useful indicator for modern high-performance internal-combustion (IC) engines. Unfortunately, direct measurements of the cylinder pressure are impractical because installing cylinder transducers is difficult and conditions in IC engine cylinders are adverse. Therefore, different methods have been investigated to reconstruct the cylinder pressure from externally measured signals, such as the engine structure vibration and the crank angular speed. In this paper, some of existing methods are reviewed firstly. Then a novel recursive cylinder pressure estimation method based on using the Kalman filter with the engine structure vibration signal as input is proposed. Two combustion metrics, pressure peak (Pmax) and peak location (Ploc), were used for evaluating the proposed method. The estimation results were compared with the experimental data collected from a four-cylinder diesel engine and showed the effectiveness of the proposed method.

[1]  Andrew E. Yagle,et al.  Modeling and identification of the combustion pressure process in internal combustion engines , 1994 .

[2]  John Alexander Steel,et al.  Indirect measurement of cylinder pressure from diesel engines using acoustic emission , 2005 .

[3]  Paul King,et al.  Multicylinder engine pressure reconstruction using NARX neural networks and crank kinematics , 2007 .

[4]  Myoungho Sunwoo,et al.  A study on pegging methods for noisy cylinder pressure signal , 2008 .

[5]  Andrew Ball,et al.  Non-parametric models in the monitoring of engine performance and condition: Part 2: Non-intrusive estimation of diesel engine cylinder pressure and its use in fault detection , 1999 .

[6]  Christian Bohn,et al.  Active control of engine-induced vibrations in automotive vehicles using disturbance observer gain scheduling , 2004 .

[7]  John J. Moskwa,et al.  Cylinder pressure and combustion heat release estimation for SI engine diagnostics using nonlinear sliding observers , 1995, IEEE Trans. Control. Syst. Technol..

[8]  Jason R. Blough,et al.  Review of Sensing Methodologies for Estimation of Combustion Metrics , 2016 .

[9]  Robert B. Randall,et al.  RECONSTRUCTION OF DIESEL ENGINE CYLINDER PRESSURE USING A TIME DOMAIN SMOOTHING TECHNIQUE , 1999 .

[10]  H Du,et al.  Reconstructing cylinder pressure from vibration signals based on radial basis function networks , 2001 .

[11]  Roger Johnsson,et al.  Cylinder pressure reconstruction based on complex radial basis function networks from vibration and speed signals , 2006 .

[12]  Nicolò Cavina,et al.  In-Cylinder Pressure Reconstruction Based on Instantaneous Engine Speed Signal , 2002 .

[13]  Simona Silvia Merola,et al.  Use of Accelerometers for Spark Advance Control of SI Engines , 2009 .

[14]  Stephen Yurkovich,et al.  A Model-Based Methodology for Real-Time Estimation of Diesel Engine Cylinder Pressure , 2011 .