Research in Engine Mapping
Engine mapping is a process carried out in the auto industry with the aim of modelling engine outputs as functions of engine inputs; output variables are often torque and noxious emissions, while input variables include spark, rpm, load (fuel flow rate), airfuel ratio and exhaust gas recycling ratio. The work has required some novel modelling to recognise the data collection units as spark- sweeps. The objective is to provide results of optimum spark timing for the electronic engine controller, in order to ensure optimum fuel usage subject to constraints on exhaust emissions and exhaust temperature. This work has been carried out in association with the Ford Engineering Research Centre in Laindon, Essex and has since been developed by The MathWorks company into MATLAB's 'Model-based Calibration Toolbox'.
Engine mapping - Background and progress. The Statistician 45 (1966), 43.
A non-linear two-stage model approach to engine mapping; with T. Holliday and T.P. Davis. Proceedings of the 11th International Workshop on Statistical Modelling, Orvieto, Italy. (1996), 208-215.
Engine Mapping Experiments: A two-stage regression approach. Technometrics 40 (1998), 120-126, with T. Holliday and T.P. Davis.
Engine mapping: a two stage regression approach based on spark sweeps, with TP Davis. In Statistics for engine optimization,(2000). S.P. Edwards, D.M. Grove & H.P. Wynn (eds), 99-108. Professional Engineering Publishing (IMechE).
Model-based Calibration Toolbox, The MathWorks, (2001), http://www.mathworks.com/products/mbc/