Neutrosophic method to evaluate the CAN network diagnostic methodology of passenger cars equipped with an OBD-II data connection port

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Juan Diego Zurita Vargas
Giovanny Vinicio Pineda Silva
Andrés Sebastián Villacrés Quintana

Abstract

In the context of the technological evolution of the automotive industry, the integration of advanced electronic systems has led to the need for efficient and robust communication networks in modern vehicles. Therefore, a research will be carried out with the objective of implementing a Multi-Criteria Neutrosophic Method to evaluate the methodology for the diagnosis of the Controller Area Network (CAN) of passenger vehicles equipped with an OBD-II data connection port. The CAN protocol has established itself as the standard solution, offering reliable and efficient communication between the multiple electronic modules of a vehicle. Thanks to its high data transmission speed, it allows real-time control of the various systems, facilitating continuous feedback between the modules and improving the diagnostic capacity of the system. The methodology to be evaluated follows a systematic and stepwise approach that begins with the identification of fault codes using an automotive scanner, followed by measurements of resistance and dominant voltages with a multimeter, and culminates with the analysis of the waveforms of the CAN High and CAN Low signals using an automotive oscilloscope. This study will demonstrate that the applied method is highly effective for the comprehensive assessment of the CAN network status. The combination of different diagnostic techniques will provide a high degree of reliability in the results obtained, thus validating the robustness of the approach used and its relevance in the current context of automotive technology.

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How to Cite
Neutrosophic method to evaluate the CAN network diagnostic methodology of passenger cars equipped with an OBD-II data connection port. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 37, 206-216. https://fs.unm.edu/NCML2/index.php/112/article/view/715
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How to Cite

Neutrosophic method to evaluate the CAN network diagnostic methodology of passenger cars equipped with an OBD-II data connection port. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 37, 206-216. https://fs.unm.edu/NCML2/index.php/112/article/view/715

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