Observing and modeling nonlinear dynamics in an internal combustion engine
- Engineering Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee37831-8088 (United States)
- Institute for Nonlinear Science, University of California, San Diego, La Jolla, California92093-0402 (United States)
- College of Engineering, University of Tennessee, Knoxville, Tennessee37996-2210 (United States)
- Ford Motor Company, Dearborn, Michigan48121-2053 (United States)
We propose a low-dimensional, physically motivated, nonlinear map as a model for cyclic combustion variation in spark-ignited internal combustion engines. A key feature is the interaction between stochastic, small-scale fluctuations in engine parameters and nonlinear deterministic coupling between successive engine cycles. Residual cylinder gas from each cycle alters the in-cylinder fuel-air ratio and thus the combustion efficiency in succeeding cycles. The model{close_quote}s simplicity allows rapid simulation of thousands of engine cycles, permitting statistical studies of cyclic-variation patterns and providing physical insight into this technologically important phenomenon. Using symbol statistics to characterize the noisy dynamics, we find good quantitative matches between our model and experimental time-series measurements. {copyright} {ital 1998} {ital The American Physical Society}
- OSTI ID:
- 625855
- Journal Information:
- Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, Journal Name: Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics Journal Issue: 3 Vol. 57; ISSN PLEEE8; ISSN 1063-651X
- Country of Publication:
- United States
- Language:
- English
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