Problems of searching for failures and interpretation of error codes (DTCs) in modern vehicles

• Autorzy: Sumorek A. , Buczaj M.
• Języki publikacji: EN

Abstrakty

EN

Volkswagen model launched in 1968 is deemed as the first motor vehicle provided with on-board diagnostics functions. However, the introduction of systems for the monitoring of vehicle sub-assemblies contributing to emission levels in all vehicles was enforced by environmental protection requirements. The California Air Resources Board (CARB) introduced the necessity to use the basic functions of on-board diagnostics (OBD) in all the motor vehicles sold in California since 1991. The article presents the results of practical tests in the scope of on-board diagnostics for “premium” class vehicle. The tests were carried out by means of 4 diagnostic interfaces. Data volume obtained from motor vehicles varied depending on the applied device, although OBD II standards should be introduced in an identical manner by the manufacturers of motor vehicles and diagnostic devices.

Słowa kluczowe

EN

On-board Diagnostics; Diagnostic Trouble Codes DTC

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2016
• Tom: Vol. 5, No 3
• Strony: 27--34
• Opis fizyczny: Bibliogr. 28 poz., rys.

Twórcy

autor

Sumorek A.

• Lublin University of Technology, Department of Structural Mechanics, Poland, 20-618 Lublin, Nadbystrzycka 40

autor

Buczaj M.

• Lublin University of Technology, Institute of Electrical Engineering and Electrotechnologies, Poland, 20-618 Lublin, Nadbystrzycka 38A

Bibliografia

• 1. Barrett S.R.H., Speth R.L., Eastham S.D., DedoussiI.C., Ashok A., Malina R. Keith D.W. 2015. Impact of the Volkswagen emissions control defeat device on US public health. Environmental Research Letters, 11, 2015, DOI: 10.1088/1748-9326/10/11/114005, pp. 10.
• 2. Biteus J., Nyberg M., Frisk E., Åslund J. 2009. Determining the fault status of a component and its readiness, with a distributed automotive application. Engineering Applications of Artificial Intelligence, vol 22, 3, 363-373.
• 3. Bosch R. GmbH. 2008. Data exchange network in vehicles. Wydawnictwa Komunikacji i Łączności, Warszawa (in Polish).
• 4. Bosch R. GmbH. 2010. Innovative and reliable: Professional electronic control unit diagnosis from Bosch. http://rb-aa.bosch.com/boaa-pl/Product.jsp?prod_id=154&ccat_id =73&language= en-GB&publication=3. January 2016.
• 5. Bosch R. GmbH. 2013. ESI[tronic]-C Vehicle diagnosis and troubleshooting instructions. http://rb-aa.bosch.com/boaa-pl/Category.jsp?ccat_id=119&language=en-GB&publication=4, Germany, January 2016.
• 6. Buczaj M. 2011. The elimination of the human decision factor by the technical medium of the transmission of information signal in control and supervision alarm systems. MOTROL -Motorization and Power Industry in Agriculture, vol. 13, s. 34-42 (in Polish).
• 7. Chen J., Roberts C., Weston P. 2008. Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems. Control Engineering Practice, vol 16, 5, 585–596.
• 8. Chougule R., Rajpathak D., Bandyopadhyay P. 2011. An integrated framework for effective service and repair in the automotive domain: An application of association mining and case-based-reasoning. Computers in Industry, vol 62, 7, 742-754.
• 9. Davenport C., Ewing J. 2015. VW Is Said to Cheaton Diesel Emissions; U.S. to Order Big Recall. The New York Times, 18 September 2015, ISSN 0362-4331.
• 10. Eisinger D.S., Wathern P. 2008. Policy evolution and clean air: The case of US motor vehicle inspection and maintenance. Transportation Research PartD: Transport and Environment, Vol. 13, 6, 359-368.
• 11. Fan S., Yang D., Zhang T., Lian X. 2013. Distributed Diagnostic Monitoring and Fault Tolerant Control of Vehicle Electrical and Electronic Devices. Proceedings of the FISITA 2012 World Automotive Congress. Vol. 6: Vehicle Electronics, SAE-China, FISITA, Springer Berlin Heidelberg, 221-230.
• 12. Förster D., Kargl F., Löhr H. 2016. PUCA: A pseudonym scheme with strong privacy guarantees for vehicular ad-hoc networks. Ad Hoc Networks, 37, 122–132.
• 13. Gorrieri A., Martalò M., Busanelli S., Ferrari G. 2016. Clustering and sensing with decentralized detection in vehicular ad hoc networks. Ad Hoc Networks, 36, 450–464.
• 14. Jhou J.S., Chen S.H. 2014. The Implementation of OBD-II Vehicle Diagnosis System Integrated with Cloud Computation Technology. Intelligent Data analysis and its Applications, Vol. I, Advances in Intelligent Systems and Computing, Springer International Publishing Switzerland, 413-416.
• 15. Launch Tech. 2007. X-431 User's Manual. http://www.diagtools.lv/soft/X431_ manual _English.pdf, January 2016.
• 16. Li Yanqiang, Li Yang, Wang Z., Zhuang R., Li Jainxin. 2013. Automotive ECUs Fault Diagnosis Modeling Based on the Fault Database. Proceedings of the FISITA 2012 World Automotive Congress. Vol. 6: Vehicle Electronics, SAE-China, FISITA, Springer Berlin Heidelberg, 271-281.
• 17. Magneti Marelli. 2012. Air conditioning, diagnostics, mechanics. Equipment for Magneti Marelli workshops. http://www.edpol.pl/frontend/files/urzadzenia/Katalog-MM-2012.pdf, January 2016 (in Polish).
• 18. Murphey, Y. L., Crossman, J. A., Chen, Z., Cardill J. 2003. Automotive fault diagnosis II: A distributed agent diagnostic system. IEEE Transactions on Vehicular Technology, Vol. 52, 4, 1076-1098.
• 19. SAE Standard. 2002. SAE J1979: E/E Diagnostic Test Modes. Vehicle EE Systems Diagnostics Standards Committee. SAE International.
• 20. Saxena A., Wu B., Vachtsevanos G. 2005. Integrated diagnosis and prognosis architecture for fleet vehicles using dynamic case-based-reasoning. Proceedings of the IEEE Autotestcon. 26-29 Sept. 2005, 96-102.
• 21. Schaub F., Ma Z., Kargl F. 2009. Privacy requirements in vehicular communication systems. Proceedings of the International Conference on Computational Science and Engineering, IEEE, 2009, 139–145.
• 22. Snap-on Inc. 2012. Solus Pro User Manual. Ver ZEESC316C Rev. C. https://www1.snapon.com/Files/Diagnostics/UserManuals/SOLUSPROUserManual_ZEESC316C.pdf, January 2016.
• 23. Sumorek A. 2010. Safe Communication Among Vehicle Sub-Assemblies on the Basis of the Embedded Functions of CAN Protocol. Teka (Archives) of the Commission of Motorization and Power Industry in Agriculture, Vol. 10, 432-439.
• 24. Sumorek A., Buczaj M. 2011. The Problems in Fibre Optic Communication in the Communication Systems of Vehicles. Teka (Archives) of the Commission of Motorization and Power Industry in Agriculture, Vol. 11, 363-372.
• 25. Sumorek A., Buczaj M. 2012. New elements in vehicle communication ”Media Oriented Systems Transport” protocol. Teka (Archives) of the Commission of Motorization and Power Industry in Agriculture. Vol. 12, 275-279.
• 26. Suwatthikul J. 2010. Fault detection and diagnosis for in-vehicle networks (chapter). Fault detection, ISBN 978-953-307-037-7, edited by Wei Zhang, 283-306.
• 27. Suwatthikul J., McMurran R., Jones R.P. 2011. In-vehicle network level fault diagnostics using fuzzy inference systems. Applied Soft Computing, vol. 11, 4, 3709-3719.
• 28. Zimmermann W., Schmidgall R. 2008. Bussystems in Automotivetechnology: Protocolls and Standards. Wydawnictwa Komunikacji i Łączności, Warszawa (in Polish).

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).