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An engine and starting system computer simulation is described. The simulation consists of physically-based models of the engine, battery and starter motor during engine starting. The interaction between the engine dynamics and the starter motor dynamics is shown for two types of starter motors: a series wound-field starter motor and a permanent magnet gear reduction starter motor. The engine dynamics are determined by engine combustion, friction and engine inertia, while the starter motor dynamics are determined by the motor's torque versus speed characteristic, and its effective inertia as seen by the engine.

In this paper, new event-based engine control algorithms utilizing more than one reference pulse per cylinder firing event are designed for improved engine spark timing control. These control algorithms, based on the cyclic nature of the internal combustion engines, can achieve more accurate estimation of crankshaft rotational speed and position than conventional algorithms. The application of these prediction algorithms to improve the accuracy of engine spark timing control is demonstrated using a dynamic engine simulation.