Academic literature on the topic 'Charging Station Placement'
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Journal articles on the topic "Charging Station Placement"
Mortimer, Benedict J., Christopher Hecht, Rafael Goldbeck, Dirk Uwe Sauer, and Rik W. De Doncker. "Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data." World Electric Vehicle Journal 13, no. 6 (May 24, 2022): 94. http://dx.doi.org/10.3390/wevj13060094.
Full textEl Hafdaoui, Hamza, Hamza El Alaoui, Salma Mahidat, Zakaria El Harmouzi, and Ahmed Khallaayoun. "Impact of Hot Arid Climate on Optimal Placement of Electric Vehicle Charging Stations." Energies 16, no. 2 (January 9, 2023): 753. http://dx.doi.org/10.3390/en16020753.
Full textIslam, Md Mainul, Hussein Shareef, and Azah Mohamed. "Optimal Quick Charging Station Placement for Electric Vehicles." Applied Mechanics and Materials 785 (August 2015): 697–701. http://dx.doi.org/10.4028/www.scientific.net/amm.785.697.
Full textSingh, Praveen Prakash, Fushuan Wen, Ivo Palu, Sulabh Sachan, and Sanchari Deb. "Electric Vehicles Charging Infrastructure Demand and Deployment: Challenges and Solutions." Energies 16, no. 1 (December 20, 2022): 7. http://dx.doi.org/10.3390/en16010007.
Full textBacanli, Salih Safa, Enas Elgeldawi, Begümhan Turgut, and Damla Turgut. "UAV Charging Station Placement in Opportunistic Networks." Drones 6, no. 10 (October 9, 2022): 293. http://dx.doi.org/10.3390/drones6100293.
Full textMishra, Partha, Eric Miller, Shriram Santhanagopalan, Kevin Bennion, and Andrew Meintz. "A Framework to Analyze the Requirements of a Multiport Megawatt-Level Charging Station for Heavy-Duty Electric Vehicles." Energies 15, no. 10 (May 21, 2022): 3788. http://dx.doi.org/10.3390/en15103788.
Full textMohanty, Ajit Kumar, Perli Suresh Babu, and 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 (November 19, 2022): 8702. http://dx.doi.org/10.3390/en15228702.
Full textHoussein, Essam H., Sanchari Deb, Diego Oliva, Hegazy Rezk, Hesham Alhumade, and Mokhtar Said. "Performance of Gradient-Based Optimizer on Charging Station Placement Problem." Mathematics 9, no. 21 (November 6, 2021): 2821. http://dx.doi.org/10.3390/math9212821.
Full textAhmed, Ahmed Jassim, Mohammed H. Alkhafaji, and Ali Jafer Mahdi. "DECISION-MAKING METHOD FOR THE OPTIMUM ALLOCATION OF CHARGING STATIONS Of ELECTRIC VEHICLE IN DISTRIBUTION NETWORKS." Tekhnichna Elektrodynamika 2023, no. 1 (January 9, 2023): 67–75. http://dx.doi.org/10.15407/techned2023.01.067.
Full textKalakanti, Arun Kumar, and Shrisha Rao. "Charging Station Planning for Electric Vehicles." Systems 10, no. 1 (January 2, 2022): 6. http://dx.doi.org/10.3390/systems10010006.
Full textDissertations / Theses on the topic "Charging Station Placement"
Hertzberg, Samuel, and 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.
Full textRobotdammsugare 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.
Full textAbstract: 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, and 楊竣丞. "A Study on Strategic Placement of Electric Vehicle Charging Stations." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/88489835382241227901.
Full text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.
Books on the topic "Charging Station Placement"
Zverovich, Vadim. Modern Applications of Graph Theory. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.001.0001.
Full textBook chapters on the topic "Charging Station Placement"
Guo, Yudi, Junjie Yao, Jiaxiang Huang, and Yijun Chen. "Data Driven Charging Station Placement." In Web and Big Data, 260–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26075-0_20.
Full textOuertani, Mohamed Wajdi, Ghaith Manita, and Ouajdi Korbaa. "Improved Genetic Algorithm for Electric Vehicle Charging Station Placement." In Intelligent Decision Technologies, 37–57. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_4.
Full textLiu, Chen, Hui Song, and Xinghuo Yu. "Optimal Electric Vehicle Charging Station Placement with Online Charging Navigation Strategy in Urban Areas." In Electric Transportation Systems in Smart Power Grids, 145–64. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003293989-6.
Full textKunj, Tripti, and Kirti Pal. "EV Technology Trends & Placement of Electric Vehicle Charging Station: A Review." In Lecture Notes in Electrical Engineering, 303–14. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8892-8_23.
Full textKameda, Hisashi, and Naoto Mukai. "Optimization of Charging Station Placement by Using Taxi Probe Data for On-Demand Electrical Bus System." In 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.
Full textAbdelAzim, Ahmed Ibrahim. "Economic Placement of EV Charging Stations within Urban Areas." In Electric Vehicle Integration in a Smart Microgrid Environment, 295–311. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926-13.
Full textMohanty, Ajit Kumar, and P. Suresh Babu. "Optimal Placement of Electric Vehicle Charging Stations Using JAYA Algorithm." In Lecture Notes in Electrical Engineering, 259–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7994-3_23.
Full textLima, Pablo M., and Carlos A. Castro. "Optimal Placement of EV Charging Stations Using a Dedicated, Two-Level Teaching-Learning-Based Optimization Algorithm." In 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.
Full textZverovich, Vadim. "Graph Models for Optimization Problems in Road Networks." In Modern Applications of Graph Theory, 275–336. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.003.0005.
Full textConference papers on the topic "Charging Station Placement"
Lam, Albert Y. S., Yiu-Wing Leung, and Xiaowen Chu. "Electric vehicle charging station placement." In 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2013. http://dx.doi.org/10.1109/smartgridcomm.2013.6688009.
Full textSpieker, Helge, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, and Alexander Oslislo. "Successive evolution of charging station placement." In 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). IEEE, 2015. http://dx.doi.org/10.1109/inista.2015.7276733.
Full textKundu, Tanmoy, and Indranil Saha. "Charging Station Placement for Indoor Robotic Applications." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461006.
Full textLu, Tianqi, Qiang Ma, and Zheng Gu. "EV Charging Station Placement Considering Traffic Flow." In 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.
Full textDait, Wenkuan, Yuqing Lit, Xiaoying Gan, and Gongquan Xie. "Fast Charging Station Placement with Elastic Demand." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647556.
Full textHidalgo, Pablo A. Lopez, Max Ostendorp, and Markus Lienkamp. "Optimizing the charging station placement by considering the user's charging behavior." In 2016 IEEE International Energy Conference (ENERGYCON). IEEE, 2016. http://dx.doi.org/10.1109/energycon.2016.7513920.
Full textAljaidi, Mohammad, Nauman Aslam, Xiaomin Chen, Omprakash Kaiwartya, and Yousef Ali Al-Gumaei. "Energy-efficient EV Charging Station Placement for E-Mobility." In IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. http://dx.doi.org/10.1109/iecon43393.2020.9255254.
Full textDeb, Sanchari, and Saad Alam. "Comprehensive Review of Planning Models for Charging Station Placement." In 2021 5th International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2021. http://dx.doi.org/10.1109/icsgsc52434.2021.9490453.
Full textOuertani, Mohamed Wajdi, Ghaith Manita, and Ouajdi Korbaa. "Improved Antlion Algorithm for Electric Vehicle Charging Station Placement." In 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.
Full text"Energy Consumption Model and Charging Station Placement for Electric Vehicles." In 3rd International Conference on Smart Grids and Green IT Systems. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004859601500156.
Full textReports on the topic "Charging Station Placement"
Kontou, Eleftheria, Yen-Chu Wu, and Jiewen Luo. Electric Vehicle Infrastructure Plan in Illinois. Illinois Center for Transportation, December 2022. http://dx.doi.org/10.36501/0197-9191/22-023.
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