Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

The Assist Curve Design for Electric Power Steering System

Authors
Qinghe Liu, Weiguang Kong, Tao Li
Corresponding Author
Qinghe Liu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.71How to use a DOI?
Keywords
EPS, New type assist characteristic curve, Steering portability, Road feel.
Abstract

Three kinds of power curve are analyzed aimed at the sense of strength and steering portability. Thus, we put forward a new design principle based on the existing research. The assist characteristic range is divided into four kinds according to the vehicle speed and steering wheel torque. The simulation model of Electric Power Steering system is established in MATLAB/Simulink. The simulation results show that the new type of power assisted characteristic curve can better meet the steering portability during the low speed and good road feel at the high speed. Besides, the new type power assisted characteristic curve can avoid the frequent starting of motor and can protect the motor.

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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.71
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.71How 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  - Qinghe Liu
AU  - Weiguang Kong
AU  - Tao Li
PY  - 2016/04
DA  - 2016/04
TI  - The Assist Curve Design for Electric Power Steering System
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 347
EP  - 351
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.71
DO  - 10.2991/ameii-16.2016.71
ID  - Liu2016/04
ER  -