A flywheel manufacturing error compensation algorithm for engine misfire detection
2016 (English)In: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 47, 37-47 p.Article in journal (Refereed) Published
A commonly used signal for engine misfire detection is the crankshaft angular velocity measured at the flywheel. However, flywheel manufacturing errors result in vehicle-to-vehicle variations in the measurements and have a negative impact on the misfire detection performance, where the negative impact is quantified for a number of vehicles. A misfire detection algorithm is proposed with flywheel error adaptation in order to increase robustness and reduce the number of mis-classifications. Since the available computational power is limited in a vehicle, a filter with low computational load, a Constant Gain Extended Kalman Filter, is proposed to estimate the flywheel errors. Evaluations using measurements from vehicles on the road show that the number of mis-classifications is significantly reduced when taking the estimated flywheel errors into consideration.
Place, publisher, year, edition, pages
2016. Vol. 47, 37-47 p.
Electrical Engineering, Electronic Engineering, Information Engineering Computer Engineering
IdentifiersURN: urn:nbn:se:liu:diva-117177DOI: 10.1016/j.conengprac.2015.12.009ISI: 000370091900004OAI: oai:DiVA.org:liu-117177DiVA: diva2:806675
Funding agencies:The work is partially supported by the Swedish Research Council within the Linnaeus Center CADICS.
Vid tiden för disputation förelåg publikationen endast som manuskript2015-04-212015-04-212016-03-09Bibliographically approved