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Future emission regulations and customer needs require revolutionary new approaches to engine management systems. In the EC part-funded AENEAS program the partners Ricardo, Kistler and DaimlerChrysler formed a consortium to investigate the application of a new combustion pressure sensor concept and innovative algorithms for engine management systems. This paper describes the general scope and the basic concepts of the system.

A new procedure is presented, that enables the estimation of the air mass in the cylinder of an SI engine by using a combustion pressure sensor. First of all, a physically based model is developed. Afterwards, the air mass in the cylinder and further physically based parameters are calculated with an adaptive Kalman filter algorithm. The procedure was developed on the basis of real measurement data obtained from test drives. Finally the results of the developed algorithm are compared with current solutions.