A 0D Phenomenological Approach to Model Diesel HCCI Combustion with Multi-Injection Strategies Using Probability Density Functions and Detailed Tabulated Chemistry

• Published in: SAE International Journal of Engines 2009, Vol.2 (1), p.548-568, Article 2009-01-0678
• Main Authors: Dulbecco, A, Lafossas, F. A, Poinsot, T. J
• Format: Article
• Language: English
• Subjects: Automobile industry; Automotive engines; Combustion; Cylinders; Emission standards; Engines; Evaporation; Fuel combustion; Ice; Ignition; Induced substructures; Internal combustion engines; Low temperature; Pollutants; Probability density functions; Soot; Spray volume; Three dimensional modeling; Turbulence
• ISSN: 1946-3936; 1946-3944; 1946-3944
• DOI: 10.4271/2009-01-0678

More and more stringent restrictions concerning the pollutant emissions of ICE (Internal Combustion Engines) constitute a major challenge for the automotive industry. New combustion strategies such as LTC (Low Temperature Combustion), PCCI (Premixed Controlled Compression Ignition) or HCCI (Homogeneous Charge Compression Ignition) are promising solutions to achieve the imposed emission standards. They permit low NOx and soot emissions via a lean and highly diluted combustion regime, thus assuring low combustion temperatures. In next generation of ICE, new technologies allow the implementation of complex injection strategies in order to optimize the combustion process. This requires the creation of numerical tools adapted to these new challenges. This paper presents a 0D Diesel HCCI combustion model based on a physical 3D CFD (Computational Fluid Dynamics) approach. The purpose of the model is to correctly predict the characteristics of auto-ignition and heat release for all Diesel combustion modes. A new formalism based on PDFs (Probability Density Functions) is proposed to describe the mixture formation process in a multi-injection strategy context. This formalism has been coupled with detailed tabulated chemistry to account for the impact of the EGR (Exhaust Gas Recirculation) on the kinetics of combustion. The model is finally validated against experimental data. Considering the good agreement with the experiments and the low CPU costs, the presented approach is revealed to be promising for global-system simulations.