Implementation of an electronic prototype for telematic records and fault detection in automobile engines using OBD II
DOI:
https://doi.org/10.55204/trc.v1i1.6Keywords:
OBDII System, Electronic Control Unit (ECU), Internet Of Things (IoT), Datalogger, ThingspeakAbstract
The devices that make up its construction were acquired through an analysis, study and requirements that allow the different functions proposed by said prototype to be carried out, for this, the cost, ease of acquisition and software compatibility were considered. An OBDII system in charge of vehicle diagnosis was used, allowing constant monitoring and data storage to detect faults that may present and affect the operation of the engine sensors; this through a micro SD module. A control board was manufactured to which an Arduino Mega development board was integrated in charge of controlling the functions through programming algorithms, libraries for each module and directly with the OBDII system. The prototype allows to visualize the data obtained through two virtual platforms called Datalogger and Thingspeak. The datalogger stores the data obtained and processed by the electronic engine control unit (ECU) of each sensor and displays it through a blog of notes. Matlab's own Thingspeak platform shows the signals in an analytical environment of the Internet of Things (IoT) that allows to visualize, add and analyze the signals of the engine sensors directly in an internet cloud due to the GSM 1800L module. The performance tests, it was possible to extract data from the main sensors of the vehicle and it was possible to demonstrate by means of absolute and relative error analysis of the data obtained a result between 1% to 2% of error considering that through this analysis the extracted data is acceptable.
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Ambrosio Lázaro, R., & Sánchez Gaspariano, L. A. (04 de 06 de 2017). saberesyciencias.com.mx. https://saberesyciencias.com.mx/2017/06/04/la-importancia-de-la-electronica-en-el-desarrollo-del-automovil/
Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., Savage, S., ... & Kohno, T. (2011, August). Comprehensive experimental analyses of automotive attack surfaces. In USENIX Security Symposium (Vol. 4, No. 447-462, p. 2021).
European Parliament, Council of the European Union, (2009). “Regulation (EC) No 661/2009 of the European Parliament and of the Council of 13 July 2009 concerning type-approval requirements for the general safety of motor vehicles, their trailers and systems, components and separate technical units intended therefor.” Official Journal of the European Union.
HPL, S. C. (2002). Introduction to the controller area network (CAN). Application Report SLOA101, 1-17.
Jitpakdee, R., & Maneewarn, T. (2008). Neural networks terrain classification using inertial measurement unit for an autonomous vehicle. In 2008 SICE Annual Conference (pp. 554-558). IEEE.
Kalmeshwar, M., & Prasad, K. N. (2017, December). Development of On-Board Diagnostics for Car and it's Integration with Android Mobile. In 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS) (pp. 1-6). IEEE.
Kassakian, J. G., Wolf, H. C., Miller, J. M., & Hurton, C. J. (1996). Automotive electrical systems circa 2005. IEEE spectrum, 33(8), 22-27.
Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., ... & Savage, S. (2010). Experimental security analysis of a modern automobile. In 2010 IEEE symposium on security and privacy (pp. 447-462). IEEE.
Lesser, V. R., & Corkill, D. G. (1983). The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI magazine, 4(3), 15-15.
Lin, C. E., Li, C. C., Yang, S. H., Lin, S. H., & Lin, C. Y. (2005, February). Development of on-line diagnostics and real time early warning system for vehicles. In 2005 Sensors for Industry Conference (pp. 45-51). IEEE.
Pelkmans, L., Hultén, S., Cowan, R., Azkarate, G., & Christidis, A. (2003). Trends in vehicle and fuel technologies: review of past trends. Inst. for Prospective Technologies Studies, JRC Report EUR 20746 EN.
Roberto, C. C. (2017). http://dspace.espoch.edu.ec/. Obtenido de http://dspace.espoch.edu.ec/bitstream/123456789/8958/1/108T0222.pdf
Services, W. B. (12 de 07 de 2017). motorpasion. Obtenido de https://www.motorpasion.com/n/hasta-que-punto-la-electronica-es-la-nueva-mecanica-del-motor
Sharma, C., Moylan, S., Vasserman, E. Y., & Amariucai, G. T. (2021). Review of the Security of Backward-Compatible Automotive Inter-ECU Communication. IEEE Access, 9, 114854-114869.
Singh, S., Kingsley, K., & Chen, C. L. (2009). Tire pressure maintenance–a statistical investigation (No. HS-811 086).
Thing, V. L., & Wu, J. (2016). Autonomous vehicle security: A taxonomy of attacks and defences. In 2016 ieee international conference on internet of things (ithings) and ieee green computing and communications (greencom) and ieee cyber, physical and social computing (cpscom) and ieee smart data (smartdata) (pp. 164-170). IEEE.
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