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Development and Evaluation of Model-Based Misfire Detection Algorithm
Linköping University, Department of Electrical Engineering, Vehicular Systems.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report present the work to develop a misfire detection algorithm for onboard

diagnostics on a spark ignited combustion engine. The work is based on

a previous developed model-based detection algorithm, created to meet more

stringent future legislation and reduce the cost of calibration. In the existing approach

a simplified engine model is used to estimate the torque from the flywheel

angular velocity, and the algorithm can detect misfires in various conditions.

The main contribution in this work, is further development of the misfire detection

algorithm with focus on improving the handling of disturbances and variations

between different vehicles. The resulting detection algorithm can be automatically

calibrated with training data and manage disturbances such as manufacturing

errors on the flywheel and torsional vibrations in the crankshaft occurring

after a misfire. Furthermore a robustness analysis with different engine

configurations is carried out, and the algorithm is evaluated with the Kullback-

Leibler divergence correlated to the diagnosis requirements.

In the validation, data from vehicles with four cylinder engines are used and the

algorithm show good performance with few false alarms and missed detections.

Place, publisher, year, edition, pages
2014. , 56 p.
Keyword [en]
Model-Based, Misfire, Detection, Diagnosis, Kullback-Leibler, SVM
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-112127ISRN: LiTH-ISY-EX--14/4807--SEOAI: diva2:763644
External cooperation
Volvo Cars
Subject / course
Vehicular Systems
Available from: 2014-11-17 Created: 2014-11-16 Last updated: 2014-11-17Bibliographically approved

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Therén, Linus
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