A Predictive Control Method for Automotive Selective Catalytic Reduction Systems

This paper presents a predictive control method for automotive Selective Catalytic Reduction (SCR) systems to minimize vehicle tailpipe Nitrogen Oxides (NOx) and ammonia (NH3) emissions. SCR systems have been indispensable in Diesel-powered vehicles to reduce the toxic emissions. To balance the tradeoff between NOxand NH3, the ammonia storage level in an SCR needs to be critically controlled. The proposed control method consists of an ammonia coverage ratio tracking controller and a predictive reference ammonia coverage ratio generator. The reference generator will utilize the predictive information, enabled by growing vehicle connectivity and intelligence, to determine an optimal level of ammonia coverage ratio within the preview horizon. The tracking controller will then drive ammonia coverage ratio to a desired level. The effectiveness of the proposed design approach is demonstrated through simulation studies with experimentally acquired data.

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