Identification of the Physical Dependencies of Accurate Oil Level Measurement for Automotive Applications

The presented research addresses the problem of dependency analysis of the ultrasonic signal measured by a sensor in an engine oil bath. The dependency analysis is performed on a selected ultrasonic signal sensor solution containing its own generator and an ultrasonic signal receiver detecting the l...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 13; p. 7707
Main Authors Hercik, Radim, Machacek, Zdenek, Byrtus, Radek, Koziorek, Jiri
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2023
Subjects
Accuracy
Algorithms
Amplitudes
ANOVA
Approximation
Automobile industry
automotive
Kinematics
level measurement
Measurement
Measuring instruments
Methods
Oil
oil sensor
Parameters
Propagation
Regression analysis
Sensors
Signal processing
Slopes
Standardization
Temperature dependence
temperature dependency
Ultrasonic imaging
Ultrasonic testing
Variance analysis
Velocity
Viscosity
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Summary:The presented research addresses the problem of dependency analysis of the ultrasonic signal measured by a sensor in an engine oil bath. The dependency analysis is performed on a selected ultrasonic signal sensor solution containing its own generator and an ultrasonic signal receiver detecting the level of the oil in which it is immersed. The influence of the resulting amplitude of the received ultrasonic signal is mainly due to the level of the measured oil level and the oil temperature, as shown by the regression analysis and ANOVA (Analysis of Variance) testing performed. The analyzed dependence of the time determination of the length of the generated ultrasonic signal envelope is given by a set threshold value, which can be dynamically adjusted based on the backtracking evaluation. The analysis results in the form of approximation by the dependency algorithm confirm the assumption of possible standardization of the envelope parameters with the achievement of accuracy up to 99.02%. The analyzed parameters approximated by the temperature and oil level dependence algorithms include the amplitude of the measured signal, steepness of the rising edge, duration of the envelope, and the digitally processed amplitude value.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13137707