Effective parameter estimation

​The project aims to reduce fuel consumption in vehicles by developing more efficient methods for parameter estimation for exhaust aftertreatment catalyst models. Exhaust aftertreatment catalysts reduce emissions of pollutants such at NOx and particulates from vehicles, however an inevitable consequence of their operation is some reduction in fuel efficiency. Aftertreatment catalyst models provide a detailed understanding of the function of the catalyst under various operating conditions. This information enables a more efficient use of the catalyst and thus better fuel economy and reduced climate impact from the vehicle. 

The project focuses on issues including how the most suitable form of the model, the design of experiment needed to be performed as well as efficient optimization methods to determine the parameters of the model. The project is being carried out in collaboration with industry partners Scania and Johnson Matthey AB.  The results of the project should be applied directly within development activities in the automotive industry. 

​The project is relevant for the Transport area of Advane at Chalmers and is financed by the industry partners and the Strategic Vehicle Research and Innovation program (FFI) of the Swedish Energy Agency.
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Page manager Published: Mon 28 Oct 2013.