Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Influencing Factors of Load Characteristics of Electric Vehicles

Authors
Rongjun Chen, Dezhi Li, Yongxiu He
Corresponding Author
Rongjun Chen
Available Online April 2017.
DOI
10.2991/eame-17.2017.4How to use a DOI?
Keywords
component; load characteristic; EV; generalized load; influence factors
Abstract

As the gradual improvement of environmental awareness in recent years, electric vehicles (EV) have made great progress. The paper first analyses the influencing factors of the electric vehicle's load characteristics, and then selects three load characteristic index of electric vehicle, divides the electric car according to different users into the following categories: electric taxi, electric bus and household electric car. The factors influencing the load characteristics of the electric vehicle are summarized, and the influencing factors are analyzed qualitatively based on economic, policy, social and other factors. At last, the factors that influence the peak and off-peak load gap and the average load of electric vehicle are pointed out respectively.

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 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-332-6
ISSN
2352-5401
DOI
10.2991/eame-17.2017.4How 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  - Rongjun Chen
AU  - Dezhi Li
AU  - Yongxiu He
PY  - 2017/04
DA  - 2017/04
TI  - Influencing Factors of Load Characteristics of Electric Vehicles
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 13
EP  - 16
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.4
DO  - 10.2991/eame-17.2017.4
ID  - Chen2017/04
ER  -