Zhang, Yahui (Sophia University), Shen, Tielong (Sophia University)

Cylinder Pressure-Based Virtual Sensor for Gas State Estimation During Compression Stroke

Scheduled for presentation during the Invited Session "Combustion Engine Control" (ThAT2), Thursday, June 27, 2019, 11:10−11:30, Chenonceau

9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France

This information is tentative and subject to change. Compiled on April 24, 2024

Abstract

The gas state during the compression stroke can vary depending on the operating conditions and cycle-to-cycle variations. In this research, determination of polytropic exponent, trapped mass, and gas temperature are addressed. A golden section search method is applied to cyclic polytropic exponent estimation, and then a statistical filter is employed for cyclic estimation to filter out the estimation noise. A novel iterative-$Delta p$-method is finally presented for the determination of the trapped mass and gas temperature simultaneously during the compression stroke. A sequence of trapped mass estimates and a sequence of gas temperature estimates can be obtained along crank angle position. Experimental validations carried out on a gasoline engine demonstrate the effectiveness of the presented methods.