Predicting Charging Load of Pure Electric Buses Based on Multi-distribution Statistics

DOI

10.2991/icmcs-18.2018.71How to use a DOI?

Keywords

Pure electric buses; Combination of fast and slow speed; Charging mode; Monte Carlo load forecasting

Abstract

Compared with family cars and taxis, buses have more regular features such as driving time, space, and distance. In a large number of statistics on the running and charging rules of pure electric buses, and on the basis of fully considering the power consumption and opening time of the hot and cold air-conditioning of pure electric buses, hybrid charging mode ,the combination of the normal nighttime charging for a pure electric bus and the fast charging during work, is obtained. Monte Carlo method is used to predict the charging load of pure electric vehicles, which provides a reference for the grid to formulate relevant countermeasures to reduce the impact of electric vehicle access on the grid.

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  - TianYi Qu
PY  - 2018/10
DA  - 2018/10
TI  - Predicting Charging Load of Pure Electric Buses Based on Multi-distribution Statistics
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 353
EP  - 355
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.71
DO  - 10.2991/icmcs-18.2018.71
ID  - Qu2018/10
ER  -