A Multistage Design Procedure for Planning and Implementing Public Charging Infrastructures for Electric Vehicles

Presented in this paper is a Multistage Design Procedure (MSDP) for planning and implementing Public Charging Infrastructures (PCIs) to satisfy intracity charging demand of Electric Vehicles (EVs). The proposed MSDP splits planning and design processes into multiple stages, from macroscale to fine-scale levels. Consequently, the preliminary results achieved at each stage can be refined at the subsequent stages, leading to determine the accurate number and precise geographical location of each charging point. The main advantage of the proposed approach is that it splits a very complicated procedure into multiple and simpler stages, at each of which appropriate goals, targets and constraints can be included. As a result, the iterative interactions among all the stakeholders involved in the PCI design process are significantly simplified. The proposed MSDP has been employed in the planning and design of the PCI of the Italian island of Sardinia, accordingly to all the public bodies.

[1]  S. Hammami,et al.  Modeling the causal linkages between transport, economic growth and environmental degradation for 75 countries , 2017 .

[2]  Johannes Wirges,et al.  Planning the Charging Infrastructure for Electric Vehicles in Cities and Regions , 2016 .

[3]  Henrikas Sivilevičius,et al.  Decision-Aiding Evaluation of Public Infrastructure for Electric Vehicles in Cities and Resorts of Lithuania , 2018 .

[4]  A. Scala,et al.  An agent based approach for the development of EV fleet Charging Strategies in Smart Cities , 2014, 2014 IEEE International Electric Vehicle Conference (IEVC).

[5]  Zhenhong Lin,et al.  Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data , 2014 .

[6]  Mario Mureddu,et al.  A Combined Planning and Design Approach of a Public Charging Infrastructure for Electric Vehicles , 2018, 2018 IEEE Vehicle Power and Propulsion Conference (VPPC).

[7]  R. Pagany,et al.  Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations , 2019, Sustainability.

[8]  Davy Janssens,et al.  Determining Electric Vehicle Charging Point Locations Considering Drivers' Daily Activities , 2014, ANT/SEIT.

[9]  Csaba Csiszár,et al.  Urban public charging station locating method for electric vehicles based on land use approach , 2019, Journal of Transport Geography.

[10]  Guido Caldarelli,et al.  A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility , 2017, Scientific Reports.

[11]  Eric Wood,et al.  Regional Charging Infrastructure for Plug-In Electric Vehicles: A Case Study of Massachusetts , 2017 .

[12]  Sreten Davidov,et al.  Planning of electric vehicle infrastructure based on charging reliability and quality of service , 2017 .

[13]  Yongxia Dai,et al.  An electricity demand-based planning of electric vehicle charging infrastructure , 2017, Wuhan University Journal of Natural Sciences.

[14]  Shu Qiang Zhao,et al.  The Optimization Model of Planning Electric Vehicle Charging Station , 2014 .

[15]  Ș. C. Gherghina,et al.  Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth , 2018, Sustainability.

[16]  Martin Wietschel,et al.  Consumer preferences for public charging infrastructure for electric vehicles , 2019, Transport Policy.

[17]  M. Brenna,et al.  Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm , 2018 .

[18]  Michele De Gennaro,et al.  Customer-driven design of the recharge infrastructure and Vehicle-to-Grid in urban areas: A large-scale application for electric vehicles deployment , 2015 .

[19]  B. Slack,et al.  The Geography of Transport Systems , 2006 .