Agent-based Modeling and Simulation on the Electric Vehicle Travelling Ability in the Smart Grid

DOI

10.2991/ameii-16.2016.1How to use a DOI?

Keywords

Intelligent Agent, Modeling and Simulation, Complex System, Electric Vehicle, Travelling Ability

Abstract

The massive adoption of the electric vehicles in the near future with the rapid development of the smart grid shall significantly affair the resident transportation worldwide, while the modeling and simulation are the key approaches in analyzing the effect of the electrification of the vehicles. This paper firstly analyzed the procedures of the electric vehicles' refueling activities in the smart grid. Moreover, based on the complex adaptive system theory and agent-based modeling methodology, the paper further proposes the electric vehicle model through constructing the state-chart and rule base, and the agent-based electric vehicle model is derived. Furthermore, in order to compare the travelling ability between the electric vehicle and the original vehicle, the simulation platform is constructed and the corresponding interfaces, 3D module as well as the necessary functions are constituted. Based on the platform, this paper proposed two case scenes focus on the original internal combustion engine vehicle and electric vehicle respectively, and the simulation results denotes that the electrification of the vehicle shall reduce the travelling ability and confirms the effectiveness of the proposed model and simulation platform in studying the key phenomenon of the electric vehicles in the smart grid.

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/).

Download article (PDF)

TY  - CONF
AU  - Yan Li
AU  - Peng Han
AU  - Jinkuan Wang
AU  - Xin Song
PY  - 2016/04
DA  - 2016/04
TI  - Agent-based Modeling and Simulation on the Electric Vehicle Travelling Ability in the Smart Grid
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.1
DO  - 10.2991/ameii-16.2016.1
ID  - Li2016/04
ER  -