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Cyclic variability (CV) in combustion in IC-SI engines, manifested as variation in combustion pressure, is a long term as well as a contemporary problem. CV and its relation to several areas of engine control and diagnostics are discussed. A novel stochastic model relating combustion pressure to crankshaft velocity in an IC-SI engine is presented. This model incorporates a random combustion pressure signal model composed of a deterministic waveform and a random sequence modeling cyclic variation in combustion pressure. A discrete recursion is developed relating this sequence to noisy measurements of velocity. The inverse problem of reconstructing this sequence from one measurement of velocity per combustion is solved using a signal processing deconvolution method. Experimental results using real-world engine data are presented verifying the theoretical developments for low to moderate engine speed and moderate engine load.

Crankshaft angular position measurements are fundamental to all modern automotive engines. These measurements are required to control fuel injection timing as well as ignition timing. However, many other functions can be performed from such measurements through the use of advanced signal processing. These additional functions are essentially diagnostic in nature although there is potential for substitution of primary fuel and ignition control functions. This paper illustrates the application of crankshaft angular position measurement to the estimation of individual cylinder indicated and/or brake torque in IC engines from measurement of crankshaft position/velocity.