Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

The Parameter Analysis System of CAN Bus for Electric Vehicle Based on LabVIEW

Authors
Tianjun Zhu, Zhicheng Wei, Yang Wu, Ruo-yu Zhao
Corresponding Author
Tianjun Zhu
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.278How to use a DOI?
Keywords
LabVIEW ;Program design; Parameter analysis system
Abstract

In order to get a real-time, comprehensive and convenient monitoring of the state parameters of the electric vehicle, this paper develops a CAN bus parameters analysis system based on LabVIEW. The system, consisting of P-CAN and PC host computer software, is able to collect CAN message which simultaneously and automatically is converted into intuitive data that users need for display and realize the real-time, visual monitoring and fault alarm function of the electric vehicle. The tests carried on at electric EV platform of Hebei University of Engineering shows that the system is convenient, reliable and stable, therefore it provides a new tool for the study of EV platform.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.278How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tianjun Zhu
AU  - Zhicheng Wei
AU  - Yang Wu
AU  - Ruo-yu Zhao
PY  - 2016/06
DA  - 2016/06
TI  - The Parameter Analysis System of CAN Bus for Electric Vehicle Based on LabVIEW
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1362
EP  - 1366
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.278
DO  - 10.2991/mmebc-16.2016.278
ID  - Zhu2016/06
ER  -