Engine mapping is the process of empirically modelling engine behaviour
as a function of adjustable engine parameters, predicting the
output of the engine. The aim is to calibrate the electronic engine
controller to meet decreasing emission requirements and increasing
fuel economy demands. Modern engines have an increasing number
of control parameters that are having a dramatic impact on time and
e ort required to obtain optimal engine calibrations. These are further
complicated due to transient engine operating mode.
A new model-based transient calibration method has been built on the
application of hierarchical statistical modelling methods, and analysis
of repeated experiments for the application of engine mapping. The
methodology is based on two-stage regression approach, which organise
the engine data for the mapping process in sweeps. The introduction
of time-dependent covariates in the hierarchy of the modelling led
to the development of a new approach for the problem of transient
This new approach for transient engine modelling is analysed using
a small designed data set for a throttle body inferred air
The data collection for the model was performed on a
transient engine test bed as a part of this work, with sophisticated
software and hardware installed on it. Models and their associated
experimental design protocols have been identi ed that permits the
models capable of accurately predicting the desired response features
over the whole region of operability. Further, during the course of the work, the utility of multi-layer perceptron
(MLP) neural network based model for the multi-covariate
case has been demonstrated. The MLP neural network performs
slightly better than the radial basis function (RBF) model. The basis
of this comparison is made on assessing relevant model selection criteria,
as well as internal and external validation ts.
Finally, the general ability of the model was demonstrated through the
implementation of this methodology for use in the calibration process,
for populating the electronic engine control module lookup tables.
A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy of Loughborough University.