Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

A Research of Truck’s Quality Online Estimation Based on CAN Information

Authors
Liangkun Yang, Jie Jin, Zhichao Liu, Juanjuan Chen
Corresponding Author
Liangkun Yang
Available Online June 2018.
DOI
10.2991/eame-18.2018.38How to use a DOI?
Keywords
CAN; truck; TRUCKSIM; LS; quality online estimation; S-Function
Abstract

The quality of trucks has a huge change from empty to fully load; the change of quality highly affects truck’s driving [1]. This paper takes a truck as research object and structured the vehicle quality online estimation model considering LS and vehicle sensor technology; the study set the default value of the road gradient to 0 and this can not only satisfy better calculation accuracy, but also enhance the efficiency and instantaneity of the algorithm. We created a quality online estimation model with MATLAB/SIMULINK and a truck dynamics simulation model with TRUCKSIM; after the simulation analysis in different operating conditions, we verified the quality online estimation model [2]. It can be found that when the model is running in different gears, there will be large data fluctuations in the initial stage of simulation, and it will quickly converge to the allowable error range of the truth value in 2 minutes. The model can guarantee the 5 percent accuracy and good simulation results.

Copyright
© 2018, 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 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/eame-18.2018.38
ISSN
2352-5401
DOI
10.2991/eame-18.2018.38How to use a DOI?
Copyright
© 2018, 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  - Liangkun Yang
AU  - Jie Jin
AU  - Zhichao Liu
AU  - Juanjuan Chen
PY  - 2018/06
DA  - 2018/06
TI  - A Research of Truck’s Quality Online Estimation Based on CAN Information
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 182
EP  - 186
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.38
DO  - 10.2991/eame-18.2018.38
ID  - Yang2018/06
ER  -