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Technical Paper

Sulphur Poisoning and Regeneration of NOx Trap Catalyst for Direct Injected Gasoline Engines

1999-10-25
1999-01-3504
Sulphur poisoning and regeneration of NOx trap catalysts have been studied in synthetic exhausts and in an engine bench. Sulphur gradually poisoned the NOx storage sites in the axial direction of the NOx trap. During sulphur regenerations, hydrogen was found to be more efficient than carbon monoxide in removing the sulphur from the trap. The sulphur regeneration became more efficient the richer the environment (λ<1) and the higher the temperature (at least 600°C). H2S was found to be the main product during the sulphur regeneration. However, it was possible to reduce the H2S formation and instead produce more SO2 by running with lambda close to one or by pulsing lambda. Even if a relatively large amount of sulphur was removed from the NOx trap, these methods gave a much less efficient regeneration per sulphur atom removed than when running relatively rich constantly. Finally, a model that could explain this observation was proposed.
Technical Paper

Nox Trap Control by Physically Based Model

1999-10-25
1999-01-3503
For a NOx trap catalyst to work properly, it is important that the times for the lean period and the rich spikes are correctly calculated in the engine management system (EMS). This paper deals with the development of a physically based NOx trap model for implementation in the EMS. The catalyst was divided into different segments (complete mixed cells) to correctly mimic the axial distribution of stored NOx and the axial temperature profile. Furthermore, the model included physical steps as adsorption, desorption, storage and release of NOx. The model also includes the storage and reduction of O2 and a simplified model of the heat release from the oxidation of the reductants. The model could successfully describe the process of storage and release in a short time interval. However, problems to describe the function of the NOx trap occurred after longer time in the vehicle because of inaccurate estimation of the input variables.
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