Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Modelling for ABS Bench Detection Method

Authors
Ruru Hao, Zhou Zhou, Lan Yang
Corresponding Author
Ruru Hao
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.97How to use a DOI?
Keywords
auto; anti-lock braking system; bench detection; modeling and simulation
Abstract

For the high cost, large land occupation and low detection efficiency of auto ABS road experiment, an auto ABS indoor bench detection principle was proposed to make the detection of the integrative performance of auto ABS conveniently. The bench detection system mainly consists of road adhesion coefficient simulation unit, auto motion inertia simulation unit, measurement & control system and data acquisition system. In order to verify the correctness of the bench detection principle, the vehicle model, wheel model, braking force model, and tire-road model on the bench are established according to the ABS bench detection scheme. The simulation results show that the characteristic of the simulation curves are consistent with the ABS braking curves, which indicates the feasibility of the bench detection principle.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.97How to use a DOI?
Copyright
© 2017, 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  - Ruru Hao
AU  - Zhou Zhou
AU  - Lan Yang
PY  - 2017/05
DA  - 2017/05
TI  - Modelling for ABS Bench Detection Method
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 432
EP  - 434
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.97
DO  - 10.2991/ammsa-17.2017.97
ID  - Hao2017/05
ER  -