Reducing Emissions Using Model-Based Calibration in the Test Cell

Steadily rising oil prices as well as ever tougher emissions regulations are strong drivers to reduce the fuel consumption of modern vehicles. However, these customer and legislative requirements, together with the increased complexity of modern engine hardware and control systems, have led to the calibration process becoming significantly more difficult and time consuming. Offline application of Design of Experiments, modeling, and optimization has delivered considerable performance and process efficiency gains. Now, there is interest in whether further improvements are possible through appropriate use of these techniques in the test cell.

This presentation explores the automation of offline analysis using expert scripts, to reduce overall calibration time, and the online estimation of model quality and accuracy, to ensure that the data collected is sufficient but not excessive.