Identification and quantification analysis of nonlinear dynamics properties of combustion instability in a diesel engine

• Published in: Chaos (Woodbury, N.Y.) Vol. 25; no. 1; p. 013105
• Main Authors: Yang, Li-Ping, Ding, Shun-Liang, Litak, Grzegorz, Song, En-Zhe, Ma, Xiu-Zhen
• Format: Journal Article
• Language: English
• Published: United States 01.01.2015
• ISSN: 1089-7682
• DOI: 10.1063/1.4899056

The cycling combustion instabilities in a diesel engine have been analyzed based on chaos theory. The objective was to investigate the dynamical characteristics of combustion in diesel engine. In this study, experiments were performed under the entire operating range of a diesel engine (the engine speed was changed from 600 to 1400 rpm and the engine load rate was from 0% to 100%), and acquired real-time series of in-cylinder combustion pressure using a piezoelectric transducer installed on the cylinder head. Several methods were applied to identify and quantitatively analyze the combustion process complexity in the diesel engine including delay-coordinate embedding, recurrence plot (RP), Recurrence Quantification Analysis, correlation dimension (CD), and the largest Lyapunov exponent (LLE) estimation. The results show that the combustion process exhibits some determinism. If LLE is positive, then the combustion system has a fractal dimension and CD is no more than 1.6 and within the diesel engine operating range. We have concluded that the combustion system of diesel engine is a low-dimensional chaotic system and the maximum values of CD and LLE occur at the lowest engine speed and load. This means that combustion system is more complex and sensitive to initial conditions and that poor combustion quality leads to the decrease of fuel economy and the increase of exhaust emissions.