Dynamic Model for the EV's Charging Infrastructure Planning Through Finite Element Method

被引:10
作者
Brenna, Morris [1 ]
Lazaroiu, George Cristian [2 ]
Roscia, Mariacristina [3 ]
Saadatmandi, Soheil [3 ]
机构
[1] Politecn Milan, I-20156 Milan, Italy
[2] Univ Politehn Bucuresti, Dept Power Syst, Bucharest 060042, Romania
[3] Univ Bergamo, Dept Engn & Appl Sci, I-24044 Dalmine, Italy
关键词
Charging infrastructures; EV's; finite element methodologies; planning analysis; ELECTRIC VEHICLES; STATIONS; IMPACT;
D O I
10.1109/ACCESS.2020.2998783
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid increase in the number of electric vehicles around the world, the high demands on the charging stations, and the challenges for locating the charging stations made researchers around the globe to think for a proper solution. In this paper, a new method to locate EV's charging infrastructures, based on the parallelism between mobility needs and heat equation implemented with Finite Element Method analysis (FEM), is proposed. The method is applied for two cities with similar metropolitan area: Boston (USA) and Milan (Italy), with further results. Although FEM is a mathematical tool for solving physical problems, the behavior of different parameters in this paper is modeled as physical objects. In addition, the parameters are modeled according to the heat equation. Heat density maps are elaborated for the considered case studies. The two cities with extremely different characteristics are chosen to demonstrate the general application of the proposed method. Heat density maps show the likely demand points to establish charging infrastructures for EV's. The annual electricity consumption maps of the two considered cities are reported. The analysis of heat density and electricity consumption maps, together with the considerations of mains supply capacity can give a perspective for the location of charging stations in the future urban environments. The developed method contributes to deploy charging stations in an urban environment.
引用
收藏
页码:102399 / 102408
页数:10
相关论文
共 32 条
[1]   An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources [J].
Abedinia, Oveis ;
Lu, Maxim ;
Bagheri, Mehdi .
IEEE ACCESS, 2020, 8 :3465-3481
[2]   E-Mobility - Advancements and Challenges [J].
Adib, Aswad ;
Afridi, Khurram K. ;
Amirabadi, Mahshid ;
Fateh, Fariba ;
Ferdowsi, Mehdi ;
Lehman, Brad ;
Lewis, Laura H. ;
Mirafzal, Behrooz ;
Saeedifard, Maryam ;
Shadmand, Mohammad B. ;
Shamsi, Pourya .
IEEE ACCESS, 2019, 7 :165226-165240
[3]   Optimal allocation for electric vehicle charging stations using Trip Success Ratio [J].
Alhazmi, Yassir A. ;
Mostafa, Haytham A. ;
Salama, Magdy M. A. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 91 :101-116
[4]   Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid [J].
Amini, M. Hadi ;
Mohammadi, Javad ;
Kar, Soummya .
IEEE ACCESS, 2019, 7 :157535-157554
[5]  
[Anonymous], 2013, POWERTECH POWERTECH
[6]  
[Anonymous], IEEE ACCESS
[7]   Evolution and Modern Approaches for Thermal Analysis of Electrical Machines [J].
Boglietti, Aldo ;
Cavagnino, Andrea ;
Staton, David ;
Shanel, Martin ;
Mueller, Markus ;
Mejuto, Carlos .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (03) :871-882
[8]   Electrical Impact of Photovoltaic Plant in Distributed Network [J].
Canova, Aldo ;
Giaccone, Luca ;
Spertino, Filippo ;
Tartaglia, Michele .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2009, 45 (01) :341-347
[9]   The Charging Characteristics of Large-Scale Electric Vehicle Group Considering Characteristics of Traffic Network [J].
Chen, Chongchen ;
Wu, Zhigang ;
Zhang, Yuling .
IEEE ACCESS, 2020, 8 :32542-32550
[10]   Urban public charging station locating method for electric vehicles based on land use approach [J].
Csiszar, Csaba ;
Csonka, Balint ;
Foldes, David ;
Wirth, Ervin ;
Lovas, Tamas .
JOURNAL OF TRANSPORT GEOGRAPHY, 2019, 74 :173-180