Advertisement
Published in:
2017 | OriginalPaper | Chapter
ChargeMap: An Electric Vehicle Charging Station Planning System
Authors : Longlong Xu, Wutao Lin, Xiaorong Wang, Zhenhui Xu, Wei Chen, Tengjiao Wang
Published in: Web and Big Data
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
The deployment optimization of charging stations is meaningful for the promotion of electric vehicles. The traditional approaches of charging station planning are mostly lack of comprehensive consideration. Some factors cannot be fully considered and effectively quantified in those approaches, such as the load of power grid, charging demand, transportation cost, construction cost, etc. This demo presents ChargeMap, a novel system of electric vehicle charging station planning which based on a multi-factor optimization model. ChargeMap could attain a balance among the factors that have great influence on charging station planning. What’s more, it delivers an apropos approach to quantify these factors. In this demo, we bring forth the application of ChargeMap on the real data sets of power grid, population, transportation and real estate of Beijing, which delivers an effective solution to the optimization of charging station planning.