Research and Development of a Remote Vehicle Diagnostic Device via Mobile Application
Published online: 29/09/2025
Corressponding author's email:
tuyennt@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2025.1906Keywords:
CANBus, Car Diagnostics, Diagnostic Trouble Code DTC, OBD-II, IoT Automotive, Firebase Realtime DatabaseAbstract
The rapid development of the automotive industry has significantly increased the number of vehicles, thereby driving a higher demand for vehicle diagnosis and maintenance. However, existing diagnostic devices are still limited by their connection range and high cost. This study aims to develop a novel diagnostic solution that offers more flexible and cost-effective connectivity. The research begins by analyzing and synthesizing technical documents on OBD-II systems, android application development tools, and real-time databases. A diagnostic module using an ESP32 microcontroller is then developed to read and process CAN signals from the vehicle's OBD-II system. The module is designed to be compact, cost-effective, and non-intrusive to the vehicle's hardware. Additionally, an android application was developed with functionalities such as data reading, Diagnostic Trouble Code (DTC) reading, clearing all DTC, and component activation testing. This application enables users to interact bidirectionally with the remote diagnostic module via a real-time database without being restricted by distance. The application functions similarly to a multi-functional diagnostic tool, offering effectively unlimited connection range and fast response times (0.4–0.6 seconds). This research successfully delivers a flexible diagnostic solution for vehicles, addressing common limitations of existing diagnostic devices.
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References
M. N. Iqbal et al., "Diagnostic tool and remote online diagnostic system for Euro standard vehicles," IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China, 2017, pp. 415-419, doi: 10.1109/ITOEC.2017.8122328. DOI: https://doi.org/10.1109/ITOEC.2017.8122328
U. Maalik and P. Ponnampalam, “Intelligent vehicle diagnostic system for service center using OBD-II and IoT,” International Conference of Science and Technology, South Eastern University, Sri Lanka, 2021, pp. 209-214.
A. J. Abid and R. S. Ali Al-Waily, “Vehicle remote support and surveillance system,” Iraqi Journal for Electrical and Electronic Engineering, vol. 10, pp. 55–63, 2014, doi: 10.33762/eeej.2014.95513 DOI: https://doi.org/10.33762/eeej.2014.95513
“ELM 327 Bluetooth multifunction diagnostic device,” (in Vietnamese), [Online]. Available: https://obdvietnam.vn/thiet-bi-chan-doan-da-nang-elm-327-bluetooth-3001.html. [Accessed: Mar. 1, 2024].
“FOBD error code reader device,” (in Vietnamese), [Online]. Available: https://obdvietnam.vn/thiet-bi-doc-loi-fobd-3064.html. [Accessed: Mar. 1, 2024].
“OBD2 frame format or message structure,” [Online]. Available: https://www.rfwireless-world.com/Terminology/OBD2-Frame-format.html. [Accessed: Mar. 13, 2024].
“OBD2 PID overview [lookup/converter tool, table, CSV, DBC] HEX,” [Online]. Available: https://www.csselectronics.com/pages/obd2-pid-table-on-board-diagnostics-j1979. [Accessed: Mar. 14, 2024].
“Choose a database: Cloud Firestore or Realtime Database,” [Online]. Available: https://firebase.google.com/docs/database/rtdb-vs-firestore. [Accessed: Mar. 25, 2024].
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