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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ISO 14229 (2005) Road vehicles—unified diagnostics systems (UDS). International Standard Organization
ISO 15765 (2004) Road vehicles—diagnostics on controller area networks (CAN). International Standard Organization
AUTOSAR. AUTOSAR_SWS_CAN_Driver[EB/OL]. 2013-06-28
AUTOSAR. AUTOSAR_SWS_CAN_Interface[EB/OL]. 2013-06-28
AUTOSAR. AUTOSAR_SWS_CAN_Transport[EB/OL]. 2013-06-28
Li Z, Liu M (2012) Electric and electrical architecture developing method based on AUTOSAR. Mechatronics (11):73–76 (in Chinese)
Sun S, Song K, Zhang T (2014) Development and application status of AUTOSAR. Mechatronics (11):33–38 (in Chinese)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-10-7986-3_61
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7985-6
Online ISBN: 978-981-10-7986-3
eBook Packages: EnergyEnergy (R0)