Soft Computing Mass Air Flow Estimator for a Single-Cylinder SI Engine

In the feedforward part of SI engine Air/Fuel control system, the in-cylinder mass air flow rate has to be accurately estimated in order to determine the fuel amount to be injected. Generally, this evaluation is performed either with a dedicated sensor (MAF sensor) or with an indirect evaluation based on the speed-density method. In this paper we propose a soft computing mass air flow estimator for a single-cylinder gasoline engine which is able to estimate, by using the combustion pressure signal, the incoming mass air flow both in steady states and in transient conditions.