Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model
The integration of Full Electric Vehicles (FEVs) into the smart city ecosystem is an essential step towards achieving sustainable urban mobility. This study presents a comprehensive mobility network model designed to predict and optimize the energy supply for FEVs within smart cities. The model inte...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/1/5 |
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| author | Victor Fernandez Virgilio Pérez Rosa Roig |
| author_facet | Victor Fernandez Virgilio Pérez Rosa Roig |
| author_sort | Victor Fernandez |
| collection | DOAJ |
| description | The integration of Full Electric Vehicles (FEVs) into the smart city ecosystem is an essential step towards achieving sustainable urban mobility. This study presents a comprehensive mobility network model designed to predict and optimize the energy supply for FEVs within smart cities. The model integrates advanced components such as a Charge Station Control Center (CSCC), smart charging infrastructure, and a dynamic user interface. Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10<sup>−4</sup>), demonstrating the model’s reliability and adaptability across diverse urban environments. This research contributes to the development of resilient, efficient, and sustainable smart city frameworks, emphasizing real-time data-driven decision-making in energy and mobility management. |
| format | Article |
| id | doaj-art-bf1e7a4c6ae64cc29fd4af40c5124891 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-bf1e7a4c6ae64cc29fd4af40c51248912025-01-24T13:52:44ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-12-01161510.3390/wevj16010005Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network ModelVictor Fernandez0Virgilio Pérez1Rosa Roig2Department of Applied Economics, Faculty of Economics, University of Valencia, Av/Tarongers s/n, 46022 Valencia, SpainDepartment of Applied Economics, Faculty of Economics, University of Valencia, Av/Tarongers s/n, 46022 Valencia, SpainDepartment of Applied Economics, Faculty of Economics, University of Valencia, Av/Tarongers s/n, 46022 Valencia, SpainThe integration of Full Electric Vehicles (FEVs) into the smart city ecosystem is an essential step towards achieving sustainable urban mobility. This study presents a comprehensive mobility network model designed to predict and optimize the energy supply for FEVs within smart cities. The model integrates advanced components such as a Charge Station Control Center (CSCC), smart charging infrastructure, and a dynamic user interface. Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10<sup>−4</sup>), demonstrating the model’s reliability and adaptability across diverse urban environments. This research contributes to the development of resilient, efficient, and sustainable smart city frameworks, emphasizing real-time data-driven decision-making in energy and mobility management.https://www.mdpi.com/2032-6653/16/1/5smart citiessmart gridenergy demand forecastingurban mobilitysustainability |
| spellingShingle | Victor Fernandez Virgilio Pérez Rosa Roig Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model World Electric Vehicle Journal smart cities smart grid energy demand forecasting urban mobility sustainability |
| title | Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model |
| title_full | Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model |
| title_fullStr | Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model |
| title_full_unstemmed | Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model |
| title_short | Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model |
| title_sort | optimizing energy supply for full electric vehicles in smart cities a comprehensive mobility network model |
| topic | smart cities smart grid energy demand forecasting urban mobility sustainability |
| url | https://www.mdpi.com/2032-6653/16/1/5 |
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