The Predicting of Charging Load for Pure Electric Buses

DOI

10.2991/icmcs-18.2018.28How to use a DOI?

Keywords

Electric Bus; Fast Charging; AC/DC Charging; Monte Carlo Method; Load Forecasting

Abstract

The driving time, space and distance of buses are more regular. On the basis of a large number of statistics on the driving and charging rules , and on the basis of full consideration of the electricity consumption and opening time of the cold and hot air conditioning of the pure electric bus, a hybrid charging model is obtained for the combination of the night regular charging of the pure electric bus and the fast charging during the working period. After considering the above factors fully, the Monte Carlo load forecasting method is used to predict the charging load of pure electric buses. The related experimental data show that the prediction method has good prediction accuracy. The prediction method can provide reliable analysis basis for reliable access of electric vehicle charging load.

Copyright

© 2018, 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  - Hua Lin
AU  - Xinglai Shen
PY  - 2018/10
DA  - 2018/10
TI  - The Predicting of Charging Load for Pure Electric Buses
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 143
EP  - 146
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.28
DO  - 10.2991/icmcs-18.2018.28
ID  - Lin2018/10
ER  -