MATEC Web Conf.
Volume 307, 2020International Conference on Materials & Energy (ICOME’17 and ICOME’18)
|Number of page(s)||6|
|Published online||10 February 2020|
Deployment of electric vehicle charging infrastructure. Application to the city of Madrid
1 Bonzer Inc, MA 02142 Cambridge, USA
2 ECAM-EPMI, Quartz-Labs, 95000 Cergy France
3 MIT, MA 02142 Cambridge, USA
Corresponding author: firstname.lastname@example.org
Most of the scientific and economic observers expect electric vehicles (EVs) to reach more than one-third of new vehicle sales, by 2022 . This growth will be even more pronounced in 2040, when it’s expected that more than 40 million of electric vehicles will be sold each year worldwide, leading to a considerable need for electrical energy (the equivalent of the production of about twenty nuclear power plants). This growth cannot be ensured if we do not radically transform our power supply technologies (new generations of batteries, new engines, new supply strategies, etc.) especially since the principal materials for batteries are projected to disappear in the next thirty years. Fortunately, new technologies for charging EVs are appearing (fast charging stations, inductive charging stations), which could help to reducing the need for larger batteries. However, these technologies require significant investment and heavy urban redevelopment. It is therefore important to find a way to optimize these investments both economically and technologically. In this paper, we will focus on electric vehicles and propose a model to optimize the urban infrastructure planning of energy supply stations. we have developed a new approach of infrastructure optimization based on battery charging platform existing technologies and their location in a city. A decision support tool applied to territorial planning is developed in this study.
Key words: Battery Charging Station / Electrified Road Section / Optimization / Electric Vehicle / Network flow / Computer Aided Design (CAD) Tool
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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