Littérature scientifique sur le sujet « Charging Station Placement »
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Articles de revues sur le sujet "Charging Station Placement"
Mortimer, Benedict J., Christopher Hecht, Rafael Goldbeck, Dirk Uwe Sauer et Rik W. De Doncker. « Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data ». World Electric Vehicle Journal 13, no 6 (24 mai 2022) : 94. http://dx.doi.org/10.3390/wevj13060094.
Texte intégralEl Hafdaoui, Hamza, Hamza El Alaoui, Salma Mahidat, Zakaria El Harmouzi et Ahmed Khallaayoun. « Impact of Hot Arid Climate on Optimal Placement of Electric Vehicle Charging Stations ». Energies 16, no 2 (9 janvier 2023) : 753. http://dx.doi.org/10.3390/en16020753.
Texte intégralIslam, Md Mainul, Hussein Shareef et Azah Mohamed. « Optimal Quick Charging Station Placement for Electric Vehicles ». Applied Mechanics and Materials 785 (août 2015) : 697–701. http://dx.doi.org/10.4028/www.scientific.net/amm.785.697.
Texte intégralSingh, Praveen Prakash, Fushuan Wen, Ivo Palu, Sulabh Sachan et Sanchari Deb. « Electric Vehicles Charging Infrastructure Demand and Deployment : Challenges and Solutions ». Energies 16, no 1 (20 décembre 2022) : 7. http://dx.doi.org/10.3390/en16010007.
Texte intégralBacanli, Salih Safa, Enas Elgeldawi, Begümhan Turgut et Damla Turgut. « UAV Charging Station Placement in Opportunistic Networks ». Drones 6, no 10 (9 octobre 2022) : 293. http://dx.doi.org/10.3390/drones6100293.
Texte intégralMishra, Partha, Eric Miller, Shriram Santhanagopalan, Kevin Bennion et Andrew Meintz. « A Framework to Analyze the Requirements of a Multiport Megawatt-Level Charging Station for Heavy-Duty Electric Vehicles ». Energies 15, no 10 (21 mai 2022) : 3788. http://dx.doi.org/10.3390/en15103788.
Texte intégralMohanty, Ajit Kumar, Perli Suresh Babu et Surender Reddy Salkuti. « Fuzzy-Based Simultaneous Optimal Placement of Electric Vehicle Charging Stations, Distributed Generators, and DSTATCOM in a Distribution System ». Energies 15, no 22 (19 novembre 2022) : 8702. http://dx.doi.org/10.3390/en15228702.
Texte intégralHoussein, Essam H., Sanchari Deb, Diego Oliva, Hegazy Rezk, Hesham Alhumade et Mokhtar Said. « Performance of Gradient-Based Optimizer on Charging Station Placement Problem ». Mathematics 9, no 21 (6 novembre 2021) : 2821. http://dx.doi.org/10.3390/math9212821.
Texte intégralAhmed, Ahmed Jassim, Mohammed H. Alkhafaji et Ali Jafer Mahdi. « DECISION-MAKING METHOD FOR THE OPTIMUM ALLOCATION OF CHARGING STATIONS Of ELECTRIC VEHICLE IN DISTRIBUTION NETWORKS ». Tekhnichna Elektrodynamika 2023, no 1 (9 janvier 2023) : 67–75. http://dx.doi.org/10.15407/techned2023.01.067.
Texte intégralKalakanti, Arun Kumar, et Shrisha Rao. « Charging Station Planning for Electric Vehicles ». Systems 10, no 1 (2 janvier 2022) : 6. http://dx.doi.org/10.3390/systems10010006.
Texte intégralThèses sur le sujet "Charging Station Placement"
Hertzberg, Samuel, et Daniel Dahlgren. « Optimal Placement of a Charging Station for a Robotic Vacuum Cleaner ». Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229763.
Texte intégralRobotdammsugare används i många hushåll och industriella tillämpningar runt om i värden idag. Robotdammsugare har ett visst mål: att städa en yta inom en viss tid. Den gör det genom att använda olika tekniker beroende på informationen det får från sina sensorer. Dock kan effektiviteten variera mellan robot och robot. Variationerna beror på många olika saker då problemet är komplext. Denna rapport kommer att mäta variationer som uppstår på grund av startposition. I en statistisk analys på ett genererat dataset visade resultaten att i några fall påverkar startpositionen robotdammsugaren. Med en av de två algoritmerna som simulerades i detta arbete, random bump algoritmen, visade det sig inte spela stor roll. Medans den andra algoritmen, spiralalgoritmen, kunde bli upp till 20% mer effektiv på grund av startposi-tionen.
Mello, Igoor Morro. « Fast charging stations placement and electric network connection methodology for electric taxis in urban zones ». Ilha Solteira, 2018. http://hdl.handle.net/11449/155892.
Texte intégralAbstract: In recent years, the use of electric vehicles in urban zones has been intensified. As a policy of increasing the penetration of electric vehicles and reducing air pollution, electric taxis have been introduced into transportation systems. They need special attention because of its different driving patterns. In contrast to private electric vehicles, which can be recharged for a long period, electric taxis need to recharge only for a short time due to their constant operation. Therefore, fast charging stations are required to meet the demand for recharging electric taxis and should be located at strategic places. In addition, an analysis must be performed to connect these stations in the electric network. To improve their allocation and connectivity, this work presents a methodology to help in decision making for installing fast charging stations, considering as criteria: locations with greater flow of electric taxis and low level of state of charge, the available physical space to carry out their recharge and cost functions for the connection of charging stations. The result of the proposal is a map with the location of fast charging stations and analysis of the lowest cost places for connection to the network. The methodology is tested in a medium-sized city in Brazil, showing the importance of this map and cost functions in decision making. The proposal is compared with another methodology, showing that the proposed method considers different criteria and creates a better s... (Complete abstract click electronic access below)
Resumo: Nos últimos anos, o uso dos veículos elétricos nas zonas urbanas tem se intensificado. Como política para o aumento na penetração de veículos elétricos e reduzir a poluição do ar, os táxis elétricos vem sendo introduzidos nos sistemas de transporte. Eles necessitam de atenção especial devido aos seus diferentes padrões de condução. Em contraste com os veículos elétricos privados, que podem ser recarregados por um longo período, táxis elétricos necessitam de recarga em um curto período de tempo devido a sua constante operação. Portanto, estações de recarga rápida são necessárias para receber a demanda de recarga dos táxis elétricos e devem estar localizadas em locais estratégicos. Além disso, uma análise deve ser realizada para a conexão destas estações com a rede elétrica. Para melhorar sua alocação e conectividade, este trabalho apresenta uma metodologia para auxiliar na tomada de decisão da instalação de estações de recarga rápida considerando como critérios: locais com maior fluxo de táxis elétricos e baixo nível de carga nas baterias, espaço físico disponível para realizar o carregamento e funções de custo para a conexão das estações de recarga. Os resultados da proposta são mapas com a localização das estações de recarga rápida e análise dos locais de menor custo para a conexão com a rede elétrica. A metodologia é testada em uma cidade de médio porte no Brasil, mostrando a importância dos mapas e funções de custo na tomada de decisão. A proposta é comparada com outras me... (Resumo completo, clicar acesso eletrônico abaixo)
Mestre
Yang, Jun-Cheng, et 楊竣丞. « A Study on Strategic Placement of Electric Vehicle Charging Stations ». Thesis, 2013. http://ndltd.ncl.edu.tw/handle/88489835382241227901.
Texte intégral國立高雄海洋科技大學
輪機工程研究所
101
With a small number of electric vehicles (EVs), the distribution system might not be significantly affected by the charging. However, with a large number of electric vehicles, the characteristics of the charging patterns could have a significant impact on the distribution system depending on the charging location. This may result in overloading and power losses. From a system planning point of view, this impact could be mitigated through strategically placing the charging stations in the distribution system. This thesis aims at presenting an algorithm dedicated to the EVs charging stations placement optimization in a given distribution system using genetic algorithms (GA), where daily time varying loads are considered together with random EVs charging patterns including starting time, duration, and power of charging. The problem is formulated as a non-differential combinational optimization problem, where the system losses to be minimized subject to capacity and system operation constraints. The placement alternatives considered are the installation of Level 2 single-phase slow chargers. In the GA evolutionary process, all individuals’ fitness is analyzed and for each feasible solution, a non-linear three phase power flow problem is solved and the system losses are calculated. A practical distribution system composed of 20 buses was used to validate the algorithm and demonstrate its applicability to large systems.
Livres sur le sujet "Charging Station Placement"
Zverovich, Vadim. Modern Applications of Graph Theory. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.001.0001.
Texte intégralChapitres de livres sur le sujet "Charging Station Placement"
Guo, Yudi, Junjie Yao, Jiaxiang Huang et Yijun Chen. « Data Driven Charging Station Placement ». Dans Web and Big Data, 260–67. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26075-0_20.
Texte intégralOuertani, Mohamed Wajdi, Ghaith Manita et Ouajdi Korbaa. « Improved Genetic Algorithm for Electric Vehicle Charging Station Placement ». Dans Intelligent Decision Technologies, 37–57. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_4.
Texte intégralLiu, Chen, Hui Song et Xinghuo Yu. « Optimal Electric Vehicle Charging Station Placement with Online Charging Navigation Strategy in Urban Areas ». Dans Electric Transportation Systems in Smart Power Grids, 145–64. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003293989-6.
Texte intégralKunj, Tripti, et Kirti Pal. « EV Technology Trends & ; Placement of Electric Vehicle Charging Station : A Review ». Dans Lecture Notes in Electrical Engineering, 303–14. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8892-8_23.
Texte intégralKameda, Hisashi, et Naoto Mukai. « Optimization of Charging Station Placement by Using Taxi Probe Data for On-Demand Electrical Bus System ». Dans Knowledge-Based and Intelligent Information and Engineering Systems, 606–15. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23854-3_64.
Texte intégralAbdelAzim, Ahmed Ibrahim. « Economic Placement of EV Charging Stations within Urban Areas ». Dans Electric Vehicle Integration in a Smart Microgrid Environment, 295–311. Boca Raton : CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926-13.
Texte intégralMohanty, Ajit Kumar, et P. Suresh Babu. « Optimal Placement of Electric Vehicle Charging Stations Using JAYA Algorithm ». Dans Lecture Notes in Electrical Engineering, 259–66. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7994-3_23.
Texte intégralLima, Pablo M., et Carlos A. Castro. « Optimal Placement of EV Charging Stations Using a Dedicated, Two-Level Teaching-Learning-Based Optimization Algorithm ». Dans Proceedings of the 7th Brazilian Technology Symposium (BTSym’21), 287–98. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08545-1_28.
Texte intégralZverovich, Vadim. « Graph Models for Optimization Problems in Road Networks ». Dans Modern Applications of Graph Theory, 275–336. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.003.0005.
Texte intégralActes de conférences sur le sujet "Charging Station Placement"
Lam, Albert Y. S., Yiu-Wing Leung et Xiaowen Chu. « Electric vehicle charging station placement ». Dans 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2013. http://dx.doi.org/10.1109/smartgridcomm.2013.6688009.
Texte intégralSpieker, Helge, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs et Alexander Oslislo. « Successive evolution of charging station placement ». Dans 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). IEEE, 2015. http://dx.doi.org/10.1109/inista.2015.7276733.
Texte intégralKundu, Tanmoy, et Indranil Saha. « Charging Station Placement for Indoor Robotic Applications ». Dans 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461006.
Texte intégralLu, Tianqi, Qiang Ma et Zheng Gu. « EV Charging Station Placement Considering Traffic Flow ». Dans 6th International Conference on Information Engineering for Mechanics and Materials. Paris, France : Atlantis Press, 2016. http://dx.doi.org/10.2991/icimm-16.2016.38.
Texte intégralDait, Wenkuan, Yuqing Lit, Xiaoying Gan et Gongquan Xie. « Fast Charging Station Placement with Elastic Demand ». Dans GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647556.
Texte intégralHidalgo, Pablo A. Lopez, Max Ostendorp et Markus Lienkamp. « Optimizing the charging station placement by considering the user's charging behavior ». Dans 2016 IEEE International Energy Conference (ENERGYCON). IEEE, 2016. http://dx.doi.org/10.1109/energycon.2016.7513920.
Texte intégralAljaidi, Mohammad, Nauman Aslam, Xiaomin Chen, Omprakash Kaiwartya et Yousef Ali Al-Gumaei. « Energy-efficient EV Charging Station Placement for E-Mobility ». Dans IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. http://dx.doi.org/10.1109/iecon43393.2020.9255254.
Texte intégralDeb, Sanchari, et Saad Alam. « Comprehensive Review of Planning Models for Charging Station Placement ». Dans 2021 5th International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2021. http://dx.doi.org/10.1109/icsgsc52434.2021.9490453.
Texte intégralOuertani, Mohamed Wajdi, Ghaith Manita et Ouajdi Korbaa. « Improved Antlion Algorithm for Electric Vehicle Charging Station Placement ». Dans 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT). IEEE, 2022. http://dx.doi.org/10.1109/setit54465.2022.9875614.
Texte intégral« Energy Consumption Model and Charging Station Placement for Electric Vehicles ». Dans 3rd International Conference on Smart Grids and Green IT Systems. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004859601500156.
Texte intégralRapports d'organisations sur le sujet "Charging Station Placement"
Kontou, Eleftheria, Yen-Chu Wu et Jiewen Luo. Electric Vehicle Infrastructure Plan in Illinois. Illinois Center for Transportation, décembre 2022. http://dx.doi.org/10.36501/0197-9191/22-023.
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