Abstract
The calibration of a model’s parameters due to desired objectives is the main definition of model-based calibration. The calibration of a diesel engine’s two-stage model to get minimum carbon monoxide (CO) emission is described in this paper. The data used in this study is collected in an engine test bench which can measure CO emission of the engine for different cam angle, engine speed and torque values. The different two-stage models are created by different local and global model functions. The best model among these models is chosen by statistical parameters. Afterwards, this model is used for the calibration. The optimization of cam angle to minimize CO emissions is described. At the end of the calibration, the look-up table can be filled up with optimum cam angle values to be used in an electronic control unit of a diesel engine (ECU).
Highlights
Engine mapping is the process of modelling engine behaviour as a function of adjustable engine parameters
Engine maps consisting of three- dimensional contour plots of engine performance parameters such as break specific fuel consumption in the engine speed- break mean effective pressure plane give a large amount of information in a very concise manner (Darda M., Sable A., Sastry G.V.J.)
The objective of this study is calibrating the diesel engine’s cam angle for different operating conditions to get minimum carbon monoxide (CO) emission by using the engine mappings created by two-stage modelling method with the help of model-based calibration toolbox which is supported by MATLAB
Summary
Engine mapping is the process of modelling engine behaviour as a function of adjustable engine parameters. The data used in this study is collected in an engine test bench which can measure CO emission of the engine for different cam angle, engine speed and torque values. The objective of this study is calibrating the diesel engine’s cam angle for different operating conditions to get minimum CO emission by using the engine mappings created by two-stage modelling method with the help of model-based calibration toolbox which is supported by MATLAB.
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