Title :
A stochastic model for the indicated pressure process and the dynamics of the internal combustion engine
Author :
Rizzoni, Giorgio
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
8/1/1989 12:00:00 AM
Abstract :
Some of the research problems pertaining to cyclic combustion variability are reformulated from a perspective markedly different from the fluid dynamic and thermodynamic models which traditionally characterize this research: a system viewpoint is embraced to construct a stochastic model for the cylinder pressure process and the dynamics of the internal combustion engine. A deterministic model for the dynamics of the engine is briefly described, and a stochastic model is proposed for the cylinder pressure process. The deterministic model and the stochastic representation are tied together in a Kalman filter model. Experimental results that validate the models are discussed
Keywords :
Kalman filters; internal combustion engines; stochastic processes; Kalman filter model; cyclic combustion variability; cylinder pressure process; internal combustion engine; stochastic model; Engine cylinders; Fluid dynamics; Geometry; Integrated circuit modeling; Internal combustion engines; Pressure measurement; Stochastic processes; Stochastic systems; Thermodynamics; Vehicle dynamics;
Journal_Title :
Vehicular Technology, IEEE Transactions on
