A New Optimization Algorithm for Speed of Electric Vehicle Based on Fuzzy PID Control

DOI

10.2991/wartia-16.2016.72How to use a DOI?

Keywords

Fuzzy theory, Mamdani inference system, Electric Vehicle, Internet of Vehicles

Abstract

Combined with the power characteristics of electric vehicles and the modern internet of vehicles, this paper proposes a new optimization algorithm for speed of electric vehicles based on fuzzy theory and the conventional PID control rules. We study characteristics of different factors in the process of driving, wherein the Park equation is used to establish the relationship between motor current and dynamic situation. The selection of input variables takes Internet of Vehicles technology into account. In consideration of the target of energy conservation, the acceleration is defined as the output variable of the whole optimization algorithm, which is proved to be accurate in all circumstances. The examination with Matlab FIS illustrates the new algorithm has a better control effect, providing a new method for the fuzzy PID control on the speed of electric 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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TY  - CONF
AU  - Jiheng Jiang
PY  - 2016/05
DA  - 2016/05
TI  - A New Optimization Algorithm for Speed of Electric Vehicle Based on Fuzzy PID Control
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 362
EP  - 366
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.72
DO  - 10.2991/wartia-16.2016.72
ID  - Jiang2016/05
ER  -