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Model Based Engine Map Adaptation Using EKF
Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, Department of Electrical Engineering, Vehicular Systems.
2010 (English)Conference paper (Refereed)
Abstract [en]

A method for on-line map adaptation is developed. The method utilizes the EKF as a parameter estimator and handles parameter aging, operating point dependent model and measurement quality. Map adaptation, by construction, gives marginally stable models with locally unobservable modes, that are handled. The method is also suitable for off-line calibration of maps where the only requirement of the data is that the entire operating region of the system is covered. The method is applied to a truck engine where an air mass-flow sensor adaptation map is estimated based on data from a diesel engine during an ETC. It is shown that an adaptation map can be found in a measurement sequence not specially designed for adaptation.

Place, publisher, year, edition, pages
2010.
Keyword [en]
Engine Estimation, Vehicle propulsion
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138170OAI: oai:DiVA.org:liu-138170DiVA: diva2:1108897
Conference
6th IFAC Symposium on Advances in Automotive Control
Available from: 2017-06-13 Created: 2017-06-13 Last updated: 2017-06-13

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Höckerdal, ErikFrisk, ErikEriksson, Lars
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CiteExportLink to record
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  • apa
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