arrow
返回

Efficient Online Station Assignment for EV Battery Swapping

delete2018-06-12
delete4
PRE
AI
P
Pengcheng You *
P
Peng Cheng
J
John Z. F. Pang
S
Steven H. Low
DOI:10.1145/3208903.3212032delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper investigates the online station assignment for (commercial) electric vehicles (EVs) that make battery swapping requests to a central operator, with the aim of minimizing cost to EVs and congestion at service stations. Inspired by a polynomial-time solvable offline solution via a bipartite matching approach, we develop an efficient online station assignment algorithm that provably achieves a tight (optimal) competitive ratio under mild conditions.
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

E
E-Energy: Proceedings of the 9th ACM International Conference on Future Energy Systems
IF:
0
论文数:
9
被引数:
0

机构

C
California Institute of Technology
学者数:
2.9W
论文数: 2.5W
被引数: 4.9W
Z
zhejiang university
学者数:
17.7W
论文数: 12.1W
被引数: 152
引用论文

引用论文