In-Cylinder Pressure Estimation from Rotational Speed Measurements via Extended Kalman Filter

• Main Authors: Garulli, A. (Author), Giannitrapani, A. (Author), Minamino, R. (Author), Quartullo, R. (Author), Vichi, G. (Author)
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: Combustion; Combustion engines; Engine control system; Engine cylinders; Estimation schemes; Extended Kalman filters; in-cylinder pressure estimation; In-cylinder pressure estimation; In-cylinder pressures; internal combustion engine; Kalman filter; Performance; Pressure estimation; Real-time estimation; Rotational speed; Speed measurement
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 14248220 (ISSN)
• DOI: 10.3390/s23094326

Real-time estimation of the in-cylinder pressure of combustion engines is crucial to detect failures and improve the performance of the engine control system. A new estimation scheme is proposed based on the Extended Kalman Filter, which exploits measurements of the engine rotational speed provided by a standard phonic wheel sensor. The main novelty lies in a parameterization of the combustion pressure, which is generated by averaging experimental data collected in different operating points. The proposed approach is validated on real data from a turbocharged compression ignition engine, including both nominal and off-nominal working conditions. The experimental results show that the proposed technique accurately reconstructs the pressure profile, featuring a fit performance index exceeding 90% most of the time. Moreover, it can track changes in the engine operating conditions as well as detect the presence of cylinder-to-cylinder variations. © 2023 by the authors.