文章基本信息

标题：Recursive Engine In-Cylinder Pressure Estimation Using Kalman Filter and Structural Vibration Signal
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作者：Runzhe Han ; Christian Bohn ; Georg Bauer 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：31
页码：700-705
DOI：10.1016/j.ifacol.2018.10.161
语种：English
出版社：Elsevier
摘要：AbstractThe cylinder pressure signal is a very useful indicator for modern high-performance internal-combustion (IC) engines. Unfortunately, direct measurements of the cylinder pressure are impractical because installing cylinder transducers is difficult and conditions in IC engine cylinders are adverse. Therefore, different methods have been investigated to reconstruct the cylinder pressure from externally measured signals, such as the engine structure vibration and the crank angular speed. In this paper, some of existing methods are reviewed firstly. Then a novel recursive cylinder pressure estimation method based on using the Kalman filter with the engine structure vibration signal as input is proposed. Two combustion metrics, pressure peak (Pmax) and peak location (Ploc), were used for evaluating the proposed method. The estimation results were compared with the experimental data collected from a four-cylinder diesel engine and showed the effectiveness of the proposed method.
关键词：KeywordsKalman filterscontrol applicationssystem identificationinternal combustion engines