Development of a Virtual Sensor to Predict Cylinder Pressure Signal Based on a Knock Sensor Signal

Stefan Posch*, Gerhard Pirker, Achilles Kefalas, Andreas Wimmer

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Virtual sensing refers to the processing of desired physical data based on measured values. Virtual sensors can be applied not only to obtain physical quantities which cannot be measured or can only be measured at an unreasonable expense but also to reduce the number of physical sensors and thus lower costs. In the field of spark ignited internal combustion engines, the virtual sensing approach may be used to predict the cylinder pressure signal (or characteristic pressure values) based on the acceleration signal of a knock sensor. This paper presents a method for obtaining the cylinder pressure signal in the high-pressure phase of an internal combustion engine based on the measured acceleration signal of a knock sensor. The approach employs a partial differential equation to represent the physical transfer function between the measured signal and the desired pressure. A procedure to fit the modeling constants is described using the example of a large gas engine. The results indicate the great potential of this approach to be applied to cylinder balancing or further engine control tasks.
Original languageEnglish
Article number2022-01-0627
Number of pages11
JournalSAE Technical Papers
Issue number2022
Publication statusPublished - 29 Mar 2022
Event2022 WCX SAE World Congress Experience: WCX 2022 - Detroit, United States
Duration: 5 Apr 20227 Apr 2022

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering
  • Automotive Engineering


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