Skip to main content

A Survey on On-Board Diagnostic in Vehicles

  • Conference paper
  • First Online:
International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2020)

Abstract

As modern vehicles are advanced in technology, speed and provide luxury driving experience. Vehicle manufacturers have become more concerned about driver safety and the health of the vehicle. Diagnosing the faults in the vehicle with ease has become the priority for the vehicle owners that reduces the time and complexity of vehicle maintenance. All the modern vehicles are equipped with an OBD-II connector. The paper introduces the vehicle diagnostics using On-Board Diagnostic (OBD) tools and presents the shortcomings of OBD-I and compares OBD-I with OBD-II. OBD-II has different modes of Parameter IDs to access the data from the ECU’s in-vehicle communicating through CAN bus. The paper focuses on comparing OBD-II SAE J1850 protocols, few commonly used Diagnostic Trouble Codes (DTC) by the vehicle and how OBD uses the request and response message formats for accessing data from vehicles using various Parameter IDs (PIDs) and modes of PIDs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jhou, J.-S., Chen, S.-H., Tsay, W.-D., Lai, M.-C.: The implementation of OBD-II vehicle diagnosis system ıntegrated with cloud computation technology. In: Second International Conference on Robot, Vision and Signal Processing (2013)

    Google Scholar 

  2. Rahman, M.A., Rashid, M.M., Barnes, S.J., Abdullah, S.M.: A Blockchain-based secure internet of vehicles management framework. In: IEEE Transactions on Vehicular Technology (2019)

    Google Scholar 

  3. Sim, A.X.A., Sitohang, B: OBD-II standard car engine diagnostic software development. In: 2014 International Conference on Data and Software Engineering (ICODSE)

    Google Scholar 

  4. Wikipedia.org (www.wikipedia.org)

  5. https://moduleexperts.com/the-abcs-of-automotive-control-module-acronyms/. Body control module

  6. Lin, C.E., Shiao, Y.-S., Li, C.-C., Yang, S.-H., Lin, S.-H., Lin, C.-Y.: Secure real-time remote onboard diagnostics using embedded GPRS surveillance technology. In: Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on 10–12 July 2011

    Google Scholar 

  7. Nilsson, D.K., Phung, P.H., Larson, U.E.: Vehicle ECU classification based on safety-security characteristics. In: Road Transport Information and Control – RTIC 2008 and ITS United Kingdom Members’ Conference, IET 20–22 May 2008

    Google Scholar 

  8. Li, X., Hu, B.-J., Chen, H., Andrieux, G., Wang, Y., Wei, Z.-H.: An RSU-coordinated synchronous multi-channel MAC scheme for vehicular ad hoc networks. IEEE Access. 3, 2794–2802 (2015)

    Article  Google Scholar 

  9. Amarasinghe, M., Kottegoda, S., Arachchi, A.L., Muramudalige, S., Dilum Bandara, H.M.N., Azeez, A.: Cloud-based driver monitoring and vehicle diagnostic with OBD2 telematics. In: 2015 International Conference on Advances in ICT for Emerging Regions (TCTer), pp. 243–249

    Google Scholar 

  10. Steger, M., Boano, C., Karner, M., Hillebrand, J., Rom, W., Römer, K.: SecUp: secure and efficient wireless software updates for vehicles. Published in Digital System Design (DSD), 2016 Euromicro IEEE Conference on 31 Aug–2 Sept 2016

    Google Scholar 

  11. Perisoara, L.A., Vasile, A., Sacaleanu, D.I.: Vehicle diagnosis based on LabVIEW and CAN interfaces. In: 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)

    Google Scholar 

  12. Sawant, P.R., Mane, Y.B.: Design and development of on-board diagnostic (OBD) device for cars. In: 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)

    Google Scholar 

  13. Hu, J., Fuwu, Y., Jing, T., Wang, P., Kai, C.: Developing PC based automobile diagnostic system based on OBD System. In: 2010 Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1–5, Mar 2010

    Google Scholar 

  14. Iqbal, M.N., Xin, L.Y., Rakhio, W.U.R.A., Siddique, S., Zahid, D., Yasin, W., Waqar, A.B.: Diagnostic tool and remote online diagnostic system for euro standard vehicles. In: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC)

    Google Scholar 

  15. https://obdstation.com/difference-obd1-obd2-scanners/. Difference between OBD1 and OBD2 scanners. 23 May 2019, by Tim Miller

  16. https://www.yourmechanic.com/article/how-to-read-and-understand-check-engine-light-codes-by-jason-unrau. How to read and understand check engine light (OBD-II) codes, by Rocco Lovetere on 07 June 2016

  17. https://medium.com/@caknowapp/5-most-common-car-diagnostic-codes-6f2b146b0b64. 5 most common car diagnostic codes

  18. Deepa D. Saibannavar, S. A. Kulkarni2: Reliable software framework for vehicular safety applications on cloud. Int. J. Cybern. Inf. (IJCI) 5(1) 23-30 2016

    Google Scholar 

  19. Vrachkov, D.G., Todorov, D.G.: Automotive diagnostic trouble code (DTC) handling over the Internet. In: Proceedings IX National Conference with International Participation, Electronica 2018, 17–18 May 2018, Sofia

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deepa Saibannavar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Saibannavar, D., Math, M.M., Kulkarni, U. (2021). A Survey on On-Board Diagnostic in Vehicles. In: Raj, J.S. (eds) International Conference on Mobile Computing and Sustainable Informatics . ICMCSI 2020. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-49795-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49795-8_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49794-1

  • Online ISBN: 978-3-030-49795-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics