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Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers
This work discusses the proposition of the identification of electrical waveforms resulting from the executive systems’ operation, controlled by the vehicle electronic modules. This proposition results from the fact that the electric current powering the actuator has two functions: to supply and to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608964/ https://www.ncbi.nlm.nih.gov/pubmed/36298295 http://dx.doi.org/10.3390/s22207945 |
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author | Więcławski, Krzysztof Antkowiak, Maja Figlus, Tomasz |
author_facet | Więcławski, Krzysztof Antkowiak, Maja Figlus, Tomasz |
author_sort | Więcławski, Krzysztof |
collection | PubMed |
description | This work discusses the proposition of the identification of electrical waveforms resulting from the executive systems’ operation, controlled by the vehicle electronic modules. This proposition results from the fact that the electric current powering the actuator has two functions: to supply and to control. Observation of such waveforms enables the ongoing control as well as the diagnostics of the state of the executive elements. This work focused on the fundamentals of the method implementation in the vehicle controller. The algorithm for detecting the model values of the waveform has been developed and described, allowing for an efficient control of the system. The algorithm, after being used in the memory of the control module and having the measuring subassemblies (gauging the voltage and electric current) added, will enable the automatic detection of the essential values. The developed code, after the optimization, can support the control performed by the ECU, which is damage-orientated. The paper presents examples of the operation of a computational program developed on the basis of the adopted algorithm. Tests were performed on an electromagnetic valve—fuel injector—of a spark-ignition engine for different cases of its operation. The effectiveness of the program was demonstrated when detecting changes occurring in the current signals of fuel injectors corresponding to different engine speeds (time of 4 and 8 ms) and different loads (pressure of 0.2 and 0.4 MPa). |
format | Online Article Text |
id | pubmed-9608964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96089642022-10-28 Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers Więcławski, Krzysztof Antkowiak, Maja Figlus, Tomasz Sensors (Basel) Article This work discusses the proposition of the identification of electrical waveforms resulting from the executive systems’ operation, controlled by the vehicle electronic modules. This proposition results from the fact that the electric current powering the actuator has two functions: to supply and to control. Observation of such waveforms enables the ongoing control as well as the diagnostics of the state of the executive elements. This work focused on the fundamentals of the method implementation in the vehicle controller. The algorithm for detecting the model values of the waveform has been developed and described, allowing for an efficient control of the system. The algorithm, after being used in the memory of the control module and having the measuring subassemblies (gauging the voltage and electric current) added, will enable the automatic detection of the essential values. The developed code, after the optimization, can support the control performed by the ECU, which is damage-orientated. The paper presents examples of the operation of a computational program developed on the basis of the adopted algorithm. Tests were performed on an electromagnetic valve—fuel injector—of a spark-ignition engine for different cases of its operation. The effectiveness of the program was demonstrated when detecting changes occurring in the current signals of fuel injectors corresponding to different engine speeds (time of 4 and 8 ms) and different loads (pressure of 0.2 and 0.4 MPa). MDPI 2022-10-18 /pmc/articles/PMC9608964/ /pubmed/36298295 http://dx.doi.org/10.3390/s22207945 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Więcławski, Krzysztof Antkowiak, Maja Figlus, Tomasz Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title | Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title_full | Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title_fullStr | Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title_full_unstemmed | Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title_short | Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers |
title_sort | recognizing significant components of electrical waveforms of actuators operated by vehicle controllers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608964/ https://www.ncbi.nlm.nih.gov/pubmed/36298295 http://dx.doi.org/10.3390/s22207945 |
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