A soot prediction for a taxi cycle of a diesel engine

The time and cost associated with running long-term tests to acquire data on the soot percentage in the oil of a diesel engine necessitate the development of a new method for a model-based prediction of the soot accumulation performance. A new method for a model-based prediction of the soot percentage for a vehicle that sequentially executes a number of taxi cycles is proposed. The method is based on the steady-state soot accumulation rate measurements that are made in the engine test cell, and is used for a relative soot percentage judgement and selection of the most suitable data set among several candidates. The method provides significant savings with respect to the direct long-term soot percentage measurements on a vehicle.