A method for determining the high-frequency in-cylinder pressure of an internal combustion engine using a pressure sensor dynamically calibrated with a shock tube

A key parameter for determining the different dynamic parameters of an internal combustion engine (ICE) is the high-frequency pressure in the combustion chamber. The uncertainty of these parameters is dominated by the dynamic accuracy of pressure sensors (PSs). However, PSs used in dynamic applications are typically calibrated quasi-statically with conventional static standards, which limits their accuracy. To address this limitation, this paper proposes and evaluates a method for determining the high-frequency in-cylinder pressure of an ICE using a PS dynamically calibrated with a shock tube (ST). The method reconstructs the in-cylinder pressure by applying an inverse discrete Fourier transform to the ratio of the frequency spectrum of the PS voltage output response and the complex frequency response function of the PS obtained with a dynamic calibration using a ST. The method was tested on a diesel ICE over a wide range of operating conditions using a piezoelectric PS calibrated in a diaphragmless ST. The Monte Carlo uncertainty analysis shows that the proposed method improves the accuracy of high-frequency in-cylinder pressure determination. Consequently, it significantly improves the accuracy of other dynamic ICE parameters, such as the rate of pressure rise, the average in-cylinder gas temperature and the rate of heat release.

Institutions

Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-11-06
DOI
https://doi.org/10.1016/j.ymssp.2025.113534
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A method for determining the high-frequency in-cylinder pressure of an internal combustion engine using a pressure sensor dynamically calibrated with a shock tube

Mechanical Systems and Signal Processing
Advanced Combustion Engine Technologies
article

A method for determining the high-frequency in-cylinder pressure of an internal combustion engine using a pressure sensor dynamically calibrated with a shock tube

article en

Abstract

A key parameter for determining the different dynamic parameters of an internal combustion engine (ICE) is the high-frequency pressure in the combustion chamber. The uncertainty of these parameters is dominated by the dynamic accuracy of pressure sensors (PSs). However, PSs used in dynamic applications are typically calibrated quasi-statically with conventional static standards, which limits their accuracy. To address this limitation, this paper proposes and evaluates a method for determining the high-frequency in-cylinder pressure of an ICE using a PS dynamically calibrated with a shock tube (ST). The method reconstructs the in-cylinder pressure by applying an inverse discrete Fourier transform to the ratio of the frequency spectrum of the PS voltage output response and the complex frequency response function of the PS obtained with a dynamic calibration using a ST. The method was tested on a diesel ICE over a wide range of operating conditions using a piezoelectric PS calibrated in a diaphragmless ST. The Monte Carlo uncertainty analysis shows that the proposed method improves the accuracy of high-frequency in-cylinder pressure determination. Consequently, it significantly improves the accuracy of other dynamic ICE parameters, such as the rate of pressure rise, the average in-cylinder gas temperature and the rate of heat release.

Mechanical Systems and Signal ProcessingVol. 241
University of Ljubljana (SI), Advantest (Singapore) (SG)
Affordable and clean energy
Openalex Percentile: Top 54%
Advanced Combustion Engine Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.