Abstract

The article addresses the improvement of the efficiency of computer diagnostic systems (CDS) for internal combustion engines of military vehicles as a critically important component of their reliability and combat readiness.
The feasibility of physically modeling a vehicle engine’s CDS based on the principles of the AUTOSAR open architecture is substantiated, as it allows for the implementation of unified, scalable, and reliable software solutions in automotive engineering. An innovative method for the preliminary verification of CDS functionality is proposed, using a developed simulator of sensor and actuator signals, which makes it possible to test both the hardware and software components of the CDS without the need to interact with a real object. This significantly improves the accuracy and speed of fault detection within the information and control system itself. A fuzzy logic controller proposed in the work takes into account the stochastic nature of the input data, using a base calculation interval of 1000 km. An experimental diagnostic test bench is described, implemented on the basis of a functioning ZMZ-409 engine, allowing integrated solutions to be tested under conditions close to real operation. The advantages of using Scan Matic and LAUNCH systems are highlighted, in particular their mobility, compatibility with various electronic modules, high data reading accuracy, and real-time performance. The article outlines the features of the concept of remote diagnostics of military vehicles based on modern telematics and mechatronics technologies: integration with GPS/GLONASS, use of mobile communication channels, the ability to predict failures, automatic notification of critical faults, and reduction of human error. It is shown that remote diagnostics is an essential element of the digital transformation of the Armed Forces of Ukraine.

Keywords: physical modeling, CAN bus, controller nodes, open architecture, actuators, field conditions, diagnostic algorithms, sensor signal simulator, fuzzy controller, remote diagnostics, artificial intelligence, military digitalization.

 FULL TEXT (in Ukrainian)

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The article was submitted 18.05.2025
©Zlepko, I., Lysyi, O., Larshyn, V., Verpivskyi, S., Kishianus, I.
Creative Commons Attribution 4.0 International License (CC BY 4.0)