A flywheel error compensation algorithm for engine misfire detection
The crankshaft angular velocity measured at the flywheel is a commonly
used signal for engine misfire detection. However, flywheel manufacturing
errors result in vehicle-to-vehicle variations in the measurements and
have a negative impact on the misfire detection performance. A misfire
detection algorithm must be able to compensate for this type of
vehicle-to-vehicle variations if it is to be used in production cars to
assure that legislations are fulfilled. It is shown that flywheel angular
variations between vehicles in the magnitude of 0.05 degrees have a
significant impact on the measured angular velocity and must be compensated
for to make the misfire detection algorithm robust. A misfire detection
algorithm is proposed with flywheel error adaptation in order to increase
robustness and reduce the number of mis-classifications. Evaluations using
measurements from a number of vehicles on the road are used to quantify the
negative impact of the flywheel errors and show that the number of
mis-classifications is significantly reduced when performing on-line
flywheel error adaptation.
Daniel Jung, Erik Frisk and Mattias Krysander
Control Engineering Practice,
2016
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