Development of misfire detection algorithm using quantitative FDI performance analysis
A model-based misfire detection algorithm is proposed. The algorithm is
able to detect misfires and identify the failing cylinder during
different conditions, such as cylinder-to-cylinder variations, cold
starts, and different engine behavior in different operating points.
Also, a method is proposed for automatic tuning of the algorithm based on training data.
The misfire detection algorithm is evaluated using data from several vehicles on the road
and the results show that a low misclassification rate is achieved
even during difficult conditions.
Daniel Jung, Lars Eriksson, Erik Frisk and Mattias Krysander
Control Engineering Practice,
Senast uppdaterad: 2019-06-05