State Estimation of Internal Combustion Engine Based on Mathematical Model

Abstract

This research aims to estimate an engine torque, an in-cylinder pressure and an amount of intake in a cylinder accurately by applying a crank-shaft angle. The appropriate discretization methods of an engine model are verified to improve the estimation accuracy. In addition, an air intake system model is added to the engine model consisting of piston-crank dynamics and combustion process. These states are estimated applying the Unscented Kalman Filter based on the engine model. An effectiveness of the appropriate discretization method and an extended model were verified through comparing the estimated results and the measured data.