Universal Electric Vehicle Charging Infrastructure Analysis Tool
| Autor: | Iosu Aizpuru, Asier Arruti, Alejandro Rujas, Jon Anzola, Unai Iraola, Mikel Mazuela |
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| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
business.product_category Backup battery business.industry Computer science 05 social sciences Vehicle-to-grid Grid 01 natural sciences Automotive engineering Energy storage Renewable energy Charging station Energy management system 0502 economics and business 0103 physical sciences Electric vehicle 010306 general physics business |
| Zdroj: | 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). |
| DOI: | 10.1109/vppc49601.2020.9330990 |
| Popis: | The proposed research article presents a simulation and comparison tool for Electric Vehicle EV charging infrastructure simulation. The design, development and sizing of an EV charging station is not a trivial engineering work. The installation of high number of EV charging stations is fundamental to increase the insertion of EV in our society. The installation of an EV charging station is dependent on the available electric infrastructure. However, to decrease electric grid dependency, future EV stations will be mixed with Renewable Energy RE sources and backup Battery Energy Storage Systems BESS. This mixed complex installation will be controlled by an Energy Management System EMS that will control the energetic flow between the different power sources (RE, electric grid, BESS, Vehicle to Grid V2G, Vehicle to Vehicle V2V, etc) and power loads (EV ESS mainly). The simulation tool is developed in an energetic State Space SS universal model where the energy (J or Wh) of the BESSs are the state variables. The tool permits to develop sizing work for EV charging infrastructure installation, different EMS simulation comparison, or charging efficiency evaluation. The paper first presents the state space universal tool. After the EMS based simulation strategy is presented where different EMS strategies are simulated. Finally the main results of the selected simulation scenarios are presented in order to present the potential of the developed tool. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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