Detecting Knock in Spark Ignited Engines
In this paper we consider signal processing algorithms for detecting
knock, i.e. auto-ignition of unburned fuel, in spark-ignited engines.
To operate an engine with optimal efficiency, there is a need to
operate close to the knock limit. This motivates the need for
efficient knock detection algorithms that not only indicates knock,
but also gives estimates on knock timing and size. The proposed
detection algorithms are based on either in-cylinder pressure or ion
current and both off-line and on-line methods are developed. The
methods are tested on measured data, analysed, and compared with
respect to detection performance, knock timing estimation accuracy,
and robustness against model uncertainties.
Ylva Nilsson and Erik Frisk
IFAC World Congress,
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Last updated: 2021-11-10