Abstract: A method for estimating a cylinder specific performance parameter for a specific cylinder of an internal combustion engine for each firing attempt, which relies on production sensors commonly equipped onboard production vehicles, is disclosed.

Abstract: A method for estimating a cylinder specific performance parameter for a specific cylinder of an internal combustion engine for each firing attempt, which relies on production sensors commonly equipped onboard production vehicles, is disclosed.

Abstract: An engine cylinder firing event is intentionally defeated by clipping the flyback voltage of the ignition system primary coil winding under the control of a misfire generator that develops a misfire logic signal from ignition dwell events and user inputs and also develops a signal indicative of which cylinder firing event was defeated.

Abstract: A method of automating the calibration of lookup tables containing correction values to be used in an on-board vehicle system is disclosed. The method includes training a neural network to model engine behavior by outputting cylinder specific crankshaft acceleration correction values in response to any engine speed and load input conditions. The correction values generated are stored in a memory device. The training takes place off-board the vehicle, using a data set previously obtained from operating a representative engine under normal operating conditions.

Abstract: A method for identifying engine combustion failure of an internal combustion engine having a plurality of cylinders, a crankshaft and a crankshaft position sensor includes the steps of operating the internal combustion engine to rotate the crankshaft, measuring rotational quantities of the crankshaft corresponding to events created by each of the plurality of cylinders during operation of the internal combustion engine, correcting the rotational quantities measured to remove periodic position irregularities to generate a corrected temporal signal, generating an acceleration signal of the crankshaft using the corrected temporal signals, and identifying combustion failures as a function of the acceleration signal. A time-lagged recurrent neural network utilizes the acceleration signal, along with other engine parameters to identify the cylinder-specific misfire events.