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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 482))

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Abstract

As the development of Vehicle Electric and Electrical system, Vehicle’s digital Combination Dashboard which can be used to learn about the whole vehicle’s parameters by driver has made an important role in the reliability of whole vehicle. So it is necessary for us to acquire the whole vehicle’s parameters and faults by realizing the on line and off line diagnosis of the combination dashboard. This paper develops a diagnostic design approach for vehicle’s digital combination dashboard on the basis of ISO 15765. It has realized the on line and off line diagnosis for vehicle’s combination dashboard in order to detect the vehicle’s parameters and faults conveniently. The experiment proves that the diagnostic protocol stack is efficient and reliable, it can greatly increase the speed of maintain service for engineers.

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References

  1. ISO 14229 (2005) Road vehicles—unified diagnostics systems (UDS). International Standard Organization

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  2. ISO 15765 (2004) Road vehicles—diagnostics on controller area networks (CAN). International Standard Organization

    Google Scholar 

  3. AUTOSAR. AUTOSAR_SWS_CAN_Driver[EB/OL]. 2013-06-28

    Google Scholar 

  4. AUTOSAR. AUTOSAR_SWS_CAN_Interface[EB/OL]. 2013-06-28

    Google Scholar 

  5. AUTOSAR. AUTOSAR_SWS_CAN_Transport[EB/OL]. 2013-06-28

    Google Scholar 

  6. Li Z, Liu M (2012) Electric and electrical architecture developing method based on AUTOSAR. Mechatronics (11):73–76 (in Chinese)

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  7. Sun S, Song K, Zhang T (2014) Development and application status of AUTOSAR. Mechatronics (11):33–38 (in Chinese)

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  8. Anyu C, Wang G, Ju L, L H (2013) Design of vehicle instrument communication module based on AUTOSAR architecture. Autom Instrum (6):19–23 (in Chinese)

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Correspondence to Yanming Li .

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© 2018 Springer Nature Singapore Pte Ltd.

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Li, Y., Gao, F., Ni, Y., Wu, T. (2018). Research on Vehicle’s Combination Dashboard Diagnostic Protocol Stack. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_61

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  • DOI: https://doi.org/10.1007/978-981-10-7986-3_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7985-6

  • Online ISBN: 978-981-10-7986-3

  • eBook Packages: EnergyEnergy (R0)

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