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Utilizing Cylinder Pressure Data for Compression Ratio Estimation
Linköpings universitet, Institutionen för systemteknik, Fordonssystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för systemteknik, Fordonssystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-8646-8998
2005 (Engelska)Ingår i: Proceedings of the 16th IFAC World Congress, Elsevier, 2005Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Four methods for compression ratio estimation based on cylinder pressure traces are developed and evaluated for simulated and experimental cycles. Three methods rely upon a model of polytropic compression for the cylinder pressure. It is shown that they give good estimates with a small bias at low compression ratios. A variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with compression ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method estimates the compression ratio more accurately in terms of bias and variance. The method is more computationally demanding and thus recommended when estimation accuracy is the most important property. In order to estimate the compression ratio as accurately as possible, motored cycles with high initial pressure should be used.

Ort, förlag, år, upplaga, sidor
Elsevier, 2005.
Serie
IFAC World Congress
Nyckelord [en]
Engine Control, Vehicle propulsion
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:liu:diva-138537ISBN: 9780080451084 (tryckt)OAI: oai:DiVA.org:liu-138537DiVA, id: diva2:1111433
Konferens
16th IFAC World Congress
Tillgänglig från: 2017-06-19 Skapad: 2017-06-19 Senast uppdaterad: 2018-01-30

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Klein, MarcusEriksson, Lars
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FordonssystemTekniska fakulteten
Elektroteknik och elektronik

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