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Communication Dans Un Congrès Année : 2011

Model based mass soot observer of diesel particle filter

Résumé

Diesel Particulate Filters (DPF) has now been proven as an efficient solution in order to reduce Diesel PM emissions. Concerned by environment, Renault will equip all serial production Diesel vehicles with this technology. Main issue of such devices is the mandatory periodical regeneration in order to eliminate their soot content. The particulate filter (DPF) is used to store the soot emitted by the combustion engine. When the mass of particles in the filter reaches a certain limit mass, it is regenerated thanks to a temperature rise (Over 600◦C). In this paper, we develop a model that describes the impact of the amount of soot in the filter on the Diesel engine performance. This model is used to determine the optimal amount of soot on which the regeneration of the particulate filter shall start. Then we propose a physical model that describes the pressure drop of particulate filter according to the mass of accumulated soot and inlet DFP temperature and flow conditions. Thus, we improve a literature model so that it takes on account the passive regeneration of the filter. Finally, we design an extended kalman filter using the combination of the simplified model and a pressure drop measurement. All the experimental validations are made thanks to different configurations: engine dynamometer, chassis dynamometer and vehicles.
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Dates et versions

hal-00655045 , version 1 (25-12-2011)

Identifiants

  • HAL Id : hal-00655045 , version 1

Citer

Fehd Benaicha, Karim Bencherif, Michel Sorine, Jean-Claude Vivalda. Model based mass soot observer of diesel particle filter. Proceedings of the 18th IFAC World Congress, Aug 2011, Milano, Italy. ⟨hal-00655045⟩
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