This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Optimising Engine Performance and Emissions Using Bayesian Techniques
Annotation ability available
Sector:
Language:
English
Abstract
Research and development (R&D) programmes to optimise engine performance and emissions involve a large number of experimental variables and the optimum solution will normally be a trade-off between several measured responses (e.g. fuel consumption, exhaust emissions and combustion noise). The increasing number of experimental variables and the search for smaller improvements make identification of optimum configurations and robust solutions more demanding. Empirical models are routinely used to explore the trade-offs and identify the optimum engine hardware build and parameter settings.
The use of Bayesian methods enables prior engineering knowledge to be explicitly incorporated into the model generation process, which allows useful models to be developed at an earlier stage in the test programme. It also enables a sequential approach to experimental design to be adopted in which the ultimate engineering objectives can be more effectively taken into account.
Software has been developed to help engineers describe their prior knowledge in an intuitive manner, to update this prior information sequentially in the light of test results and to review the updated models graphically.
This paper reports on the use of Bayesian techniques in an engine test programme, with prior information being supplied by two engineers with different backgrounds and experience. A Ricardo “Ceres” high speed direct injection (HSDI) diesel engine has been comprehensively mapped with three independent variables. The resulting database has been used to demonstrate the Bayesian methodology (prior information gathering, model updating, model visualisation and data checking) and sensitivity to the quality of the prior information.
Recommended Content
Authors
Topic
Citation
Mowll, D., Robinson, D., and Pilley, A., "Optimising Engine Performance and Emissions Using Bayesian Techniques," SAE Technical Paper 971612, 1997, https://doi.org/10.4271/971612.Also In
Factors Influencing Emissions and Emissions Formation Processes
Number: SP-1275; Published: 1997-05-05
Number: SP-1275; Published: 1997-05-05
References
- Taguchi G. Introduction To Quality Engineering Asia Productivity Organisation 1986
- Box G.E.P. Draper N.R. Empirical Model-Building And Response Surfaces John Wiley and Sons 1987
- Grove D.M. Davis T.P. Engineering Quality And Experimental Design 1992
- Box G.E.P. Statistics And Quality Improvement Journal Of The Royal Statistical Society 1994
- Hunter C.E. Gardner T.P. Zakrajsek C.E. Simultaneous Optimisation Of Diesel Engine Parameters For Low Emissions Using Taguchi Methods SAE 902227 1990
- Pilley A.D. Beaumont A.J. Robinson D.R. Mowll D. Design Of Experiments For Optimisation Of Engines To Meet Future Emissions Targets 27nd Int. Symposium On Automotive Technology And Automation 1995
- Hahn G. J. Some Things Engineers Should Know About Experimental Design Journal Of Quality Technology 9 1 Jan. 1977
- Steinberg D. M. Hunter W.G. Experimental Design: Review And Comment Technometrics 26 2 May 1984
- Galetto F. Basic And Managerial Concerns On Taguchi Methods 22nd Int. Symposium On Automotive Technology And Automation 1990
- Lindley D.V. Introduction To Probability And Statistics From A Bayesian Viewpoint Part 2. Inference Cambridge University Press 1970
- Box G.E.P. Tiao G.C. Bayesian Inference in Statistical Analysis John Wiley and Sons 1973
- Pilz J. Bayesian Estimation And Experimental Design In Linear Regression Models John Wiley and Sons 1991
- Chaloner, K. Verdinelli I Bayesian Experimental Design: A Review Dept. Of Statistics Carnegie Mellon Pittsburg, Pennsylvania August 1994
- Bernardo J.M. Smith A.F.M Bayesian Theory John Wiley and Sons 1994
- Mowll D. Bayesian Experimental Design and its Application to Engine Research and Development Sussex University 1997
- Pilley A.D. Robinson D.R. Mowll D. Bayesian Experimental Design and Its Application To Engine Research And Development SAE 961157 1996
- Whelan S. Jackson N.S. Manning J.N. Porter B.C. Elliott D.R. Meeting the Passenger Car Challenge with the New Ricardo 16 Valve HSDI Diesel Engine European Automobile Engineers Cooperation 5th International Congress Strasbourg 21-23 June 1995
- Edwards S.P. Penny I.J. Ross-Martin T.J. The Development of the Ricardo Ceres HSDI Diesel Engined Passenger Car for Euro 3 and Beyond 4th International Conference on the Automotive Industry and the Environment Brussels 17-18 September 1996