Estimation of Piston Surface Temperature During Engine Transient Operation for Emissions Reduction

Author:

Yang Zhijia12,Mason Byron3ORCID,Bae Brian Wooyeol12,Bonatesta Fabrizio4,Winward Edward3ORCID,Burke Richard56,Chappell Edward76

Affiliation:

1. Department of Aeronautical and Automotive Engineering, Loughborough University , Loughborough LE113TU, UK

2. Loughborough University

3. Department of Aeronautical and Automotive Engineering, Loughborough University , Loughborough, Leicestershire LE11 3TU, UK

4. School of Engineering, Computing and Mathematics, Oxford-Brookes University , Oxford, Oxfordshire OX33 1HX, UK

5. Department of Mechanical Engineering, University of Bath , Bath BA2 7AYd, UK

6. University of Bath

7. Department of Mechanical Engineering, University of Bath , Bath BA2 7AY, UK

Abstract

Abstract Piston surface temperature is an important factor in the reduction of harmful emissions in modern gasoline direct injection (GDI) engines. In transient operation, the piston surface temperature can change rapidly, increasing the risk of fuel puddling. The prediction of the piston surface temperature can provide the means to significantly improve multiple-pulse fuel injection control strategies through the avoidance of fuel puddling. It could also be used to intelligently control the piston cooling jet (PCJ), which is common in modern engines. Considerable research has been undertaken to identify generalized engine heat transfer correlations and to predict piston and cylinder wall surface temperatures during operation. Most of these correlations require in-cylinder combustion pressure as an input, as well as the identification of numerous model parameters. These requirements render such an approach impractical. In this study, the authors have developed a thermodynamic model of piston surface temperature based on the global energy balance (GEB) methodology, which includes the effect of PCJ activation. The advantages are a simple structure and no requirement for in-cylinder pressure data, and only limited experimental tests are needed for model parameter identification. Moreover, the proposed model works well during engine transient operation, with maximum average error of 6.68% during rapid transients. A detailed identification procedure is given. This and the model performance have been demonstrated using experimental piston crown surface temperature data from a prototype 1-liter 3-cylinder turbocharged GDI engine, operated in both engine steady-state and transient conditions with an oil jet used for piston cooling turned both on and off.

Publisher

ASME International

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