Affiliation:
1. College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China
2. Institut für Elektrische Informationstechnik, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany
Abstract
The engine in-cylinder pressure is a very important parameter for the optimization of internal combustion engines. This paper proposes an alternative recursive Kalman filter-based engine cylinder pressure reconstruction approach using sensor-fused engine speed. In the proposed approach, the fused engine speed is first obtained using the centralized sensor fusion technique, which synthesizes the information from the engine vibration sensor and engine flywheel angular speed sensor. Afterwards, with the fused speed, the engine cylinder pressure signal can be reconstructed by inverse filtering of the engine structural vibration signal. The cylinder pressure reconstruction results of the proposed approach are validated by two combustion indicators, which are pressure peak Pmax and peak location Ploc. Meanwhile, the reconstruction results are compared with the results obtained by the cylinder pressure reconstruction approach using the calculated engine speed. The results of sensor fusion can indicate that the fused speed is smoother when the vibration signal is trusted more. Furthermore, the cylinder pressure reconstruction results can display the relationship between the sensor-fused speed and the cylinder pressure reconstruction accuracy, and with more belief in the vibration signal, the reconstructed results will become better.
Funder
Natural Science Foundation of Zhejiang province, P.R. China
University Research Development Foundation in Zhejiang A&F University, P.R. China
Reference36 articles.
1. Heywood, J.B. (2018). Internal Combustion Engine Fundamentals, McGraw-Hill Education.
2. Accelerometer based robust estimation of in-cylinder pressure for cycle-to-cycle combustion control;Jeon;IEEE Trans. Instrum. Meas.,2023
3. In-cylinder pressure smart sampling for efficient data management;Pla;Int. J. Engine Res.,2023
4. Xu, S., Tian, X., Wang, C., Qin, Y., Lin, X., Zhu, J., Sun, X., and Huang, T. (2022). A novel coordinated control strategy for parallel hybrid electric vehicles during clutch slipping process. Appl. Sci., 12.
5. Collaborative optimization of fuel economy and battery life for plug-in hybrid electric buses considering traffic condition;Tian;J. Energy Storage,2024