Relevant bibliographies by topics / Charging Station

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Charging Station'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "Charging Station"

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Qin, Jianxin, Jing Qiu, Yating Chen, Tao Wu, and Longgang Xiang. "Charging Stations Selection Using a Graph Convolutional Network from Geographic Grid." Sustainability 14, no. 24 (December 14, 2022): 16797. http://dx.doi.org/10.3390/su142416797.

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Electric vehicles (EVs) have attracted considerable attention because of their clean and high-energy efficiency. Reasonably planning a charging station network has become a vital issue for the popularization of EVs. Current research on optimizing charging station networks focuses on the role of stations in a local scope. However, spatial features between charging stations are not considered. This paper proposes a charging station selection method based on the graph convolutional network (GCN) and establishes a charging station selection method considering traffic information and investment cost. The method uses the GCN to extract charging stations. The charging demand of each candidate station is calculated through the traffic flow information to optimize the location of charging stations. Finally, the cost of the charging station network is evaluated. A case study on charging station selection shows that the method can solve the EV charging station location problem.
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Zhao, Shu Qiang, and Zhi Wie Li. "The Optimization Model of Planning Electric Vehicle Charging Station." Applied Mechanics and Materials 672-674 (October 2014): 1183–88. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1183.

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Aiming at the problem of electric vehicle charging station planning, the clients of fast charging stations is analyzed. The optimal mathematical model about siting of electric vehicle charging stations is proposed based on the city's geographic information. We obtain the optimal location of charging stations by charging convenient factor as a constraint. And divide the load area which is served by each charging station by the Voronoi. According to the load which is served by each charging station, this paper designs the optimal battery charger number of each charging station with the Queuing Theory. Finally, optimize the charging convenient factor using the total cost as objective function. The analysis of examples verifies the effectiveness and the practicability of the proposed planning approach.
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Spuritha, M., Harshitha Damineni, Shreemayi Sonti, Veshala Lokesh Kumar, Siri Chandana Veeramalla, Ramprasad Kokkula, and D. Indira. "Crowd sourced smart EV charging station network using ML." E3S Web of Conferences 309 (2021): 01097. http://dx.doi.org/10.1051/e3sconf/202130901097.

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Electric vehicle owners face the problem of having limited charging station options. Individual charging stations near households can act as a viable solution to solve this problem. A forecasting model which can effectively predict the power consumption of a charging station will help charging station owners get a clear view of how much energy to produce.With this intent, this paper proposes an Internet of Things (IoT) based charging station network that acts as a platform to provide charging to electric vehicles and a model based on ARIMA whose learners are fitted to the charging station subsets with optimum parameters to increase the overall performance of sales prediction. The proposed model predicted power consumption for 7 charging stations, with average MAPE, RMSE and R2 values of 12.88%, 5.67, and 0.79 respectively.
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Ademulegun, Oluwasola O., Paul MacArtain, Bukola Oni, and Neil J. Hewitt. "Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions." Energies 15, no. 24 (December 12, 2022): 9396. http://dx.doi.org/10.3390/en15249396.

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Electric Vehicles (EVs) replace fossil fuel vehicles in effort towards having more sustainable transport systems. The battery of an EV is recharged at a charging point using electricity. While some recharging will be required at locations where vehicles are normally parked, other recharging could be necessary at strategic locations of vehicular travel. Certain locations are suitable for EV charging station deployment, others are not. A multi-stage decision analysis methodology for selecting suitable locations for installing EV charging station is presented. The multi-stage approach makes it possible to select critical criteria with respect to any defined objectives of the EV charging station and techno-physio-socio-economic factors without which the EV charging station could not be deployed or would not serve its designated purpose. In a case, the type of charging station is specified, and a purpose is defined: rapid EV charging stations intended for public use within and across border regions. Applied in siting real EV charging stations at optimal locations, stages in the methodology present additional techno-physio-socio-economic factors in deploying the type of EV charging stations at optimal locations and keep the EV charging stations operating within acceptable standards. Some locations were dropped at the critical analysis stage; others were dropped at the site-specific analysis stage and replacement sites were required in certain instances. Final locations included most optimal, less optimal, least optimal, and strategic or special need locations. The average distances between contiguous recharging locations were less than 60 miles. Using any specified separation standard, the number of additional EV charging stations required between EV charging stations were determinable with the Pool Box. The Overall Charging Station Availability quadrants suggest that the overall user experience could get worse as less-standardized additional EV charging stations are deployed.
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., Lakshmi, Malini K V, Likitha N E, Basavaraj M, Vanfana K, and Varun Gowda. "Smart Self Monitoring Eco Friendly EV Charging Station." International Journal of Innovative Research in Information Security 09, no. 03 (June 23, 2023): 229–33. http://dx.doi.org/10.26562/ijiris.2023.v0903.32.

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Due to their low expenses for operation and commitment to the environment, electric cars (EVs) are growing in popularity. However, the inadequate charging infrastructure limits their popularity. To keep their vehicles always ready for use, EV owners need access to convenient and dependable charging stations. Thus, promoting the adoption of EVs requires the installation of electric charging stations. A specialized infrastructure called an electric charging station is created to supply electricity to electric vehicles. It is made up of a unit for charging, one for distributing power, and one for communicating. The charging unit is in charge of feeding electricity from the grid to an electric vehicle's battery. The electric car receives power from the charging unit through the power distribution unit. To make sure that the charging process is secure, dependable, and effective, the communication unit is in charge of maintaining communication between the charging station and the electric car. There are two categories of electric charging stations: DC rapid charging stations and AC charging stations. While DC fast charging stations offer a faster charging rate of up to 350 kW, AC charging stations offer a slower rate of up to 22 kW. Although installing DC fast charging stations costs more money, they are essential for long- distance travel and in places where there is a high demand for quick charging.
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Mishra, 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.

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Widespread adoption of heavy-duty (HD) electric vehicles (EVs) will soon necessitate the use of megawatt (MW)-scale charging stations to charge high-capacity HD EV battery packs. Such a station design needs to anticipate possible station traffic, average and peak power demand, and charging/wait time targets to improve throughput and maximize revenue-generating operations. High-power direct current charging is an attractive candidate for MW-scale charging stations at the time of this study, but there are no precedents for such a station design for HD vehicles. We present a modeling and data analysis framework to elucidate the dependencies of a MW-scale station operation on vehicle traffic data and station design parameters and how that impacts vehicle electrification. This framework integrates an agent-based charging station model with vehicle schedules obtained through real-world vehicle telemetry data analysis to explore the station design and operation space. A case study applies this framework to a Class 8 vehicle telemetry dataset and uses Monte Carlo simulations to explore various design considerations for MW-scale charging stations and EV battery technologies. The results show a direct correlation between optimal charging station placement and major traffic corridors such as cities with ports, e.g., Los Angeles and Oakland. Corresponding parametric sweeps reveal that while good quality of service can be achieved with a mix of 1.2-megawatt and 100-kilowatt chargers, the resultant fast charging time of 35–40 min will need higher charging power to reach parity with refueling times.
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Zhang, Peipei, Juan Chen, Lilan Tu, and Longteng Yin. "Layout Evaluation of New Energy Vehicle Charging Stations: A Perspective Using the Complex Network Robustness Theory." World Electric Vehicle Journal 13, no. 7 (July 12, 2022): 127. http://dx.doi.org/10.3390/wevj13070127.

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At present, the new energy vehicle industry is developing rapidly, but the relative lag in the development of its supporting infrastructure, especially charging stations, has become a bottleneck that restricts the development of the electric vehicle industry. In this paper, we propose a model for constructing a network of new energy vehicle charging facilities based on complex network theory and analyze the operation and the rationality of the layout of the new energy vehicle (NEV) charging stations in Wuhan and Hangzhou, respectively. The results show that the current layout of new energy vehicle charging stations in the city is relatively reasonable, but the allocation of charging pile resources is unreasonable. Our results of the virtual charging station network constructed by adding new charging station nodes show that the change in network structure helps to enhance the performance of the charging station system.
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Shi, Qing Sheng, and Yi Cao. "Gaussian Mixture Model Clustering Based Optimal Location of EV Charging Stations." Applied Mechanics and Materials 380-384 (August 2013): 3400–3403. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3400.

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Building enough charging stations is the only way to let new energy vehicles come into our daily life. While, the cost of building a charging station is very expensive. Therefore, spatial optimal location of charging stations has to be dealt with. The main purpose of this paper is to investigate the spatial optimal location of charging stations using Gaussian Mixture Model clustering and charging requirement spots are taken as the clustering benchmark. The clustering procedure of charging station spatial optimal location is programmed using m-language. Finally, simulation results show the validity of proposed method.
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Răboacă, Maria-Simona, Irina Băncescu, Vasile Preda, and Nicu Bizon. "An Optimization Model for the Temporary Locations of Mobile Charging Stations." Mathematics 8, no. 3 (March 21, 2020): 453. http://dx.doi.org/10.3390/math8030453.

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A possible solution with which to alleviate the range anxiety of electric vehicle (EV) drivers could be a mobile charging station which moves in different places to charge EVs, having a charging time of even half an hour. A problem that arises is the impossibility of charging in any location due to heavy traffic or limited space constraints. This paper proposes a new operational mode for the mobile charging station through temporarily stationing it at different places for certain amounts of time. A mathematical model, in the form of an optimization problem, is built by modeling the mobile charging station as a queuing process, the goal of the problem being to place a minimum number of temporary service centers (which may have one or more mobile charging stations) to minimize operating costs and the charger capacity of the mobile charging station so that the service offered is efficient. The temporary locations obtained are in areas with no or few fixed charging stations, making the mobile station infrastructure complementary to the fixed charging station infrastructure. The temporary location operational mode, compared to current moving operational mode, is more efficient, having a small miss ratio, short mean response time and short mean queuing time.
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El-fedany, Ibrahim, Driss Kiouach, and Rachid Alaoui. "System architecture to select the charging station by optimizing the travel time considering the destination of electric vehicle drivers in smart cities." Bulletin of Electrical Engineering and Informatics 9, no. 1 (February 1, 2020): 273–83. http://dx.doi.org/10.11591/eei.v9i1.1564.

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The main limitations of electric vehicles are the limited scope of the battery and their relatively long charging times. This may cause discomfort to drivers of electric vehicles due to a long waiting period at the service of the charging station, during their trips. In this paper, we suggest a model system based on argorithms, allowing the management of charging plans of electric vehicles to travel on the road to their destination in order to minimize the duration of the drivers' journey. The proposed system decision to select the charging station, during advance reservation of electric vehicles, take into account the time of arrival of electric vehicles at charging stations, the expected charging time at charging stations, the local status of the charging stations in real time, and the amount of energy sufficient for the electric vehicle to arrive at the selected charging station. Furthermore, the system periodically updates the electric vehicule reservations to adjust their recharge plans, when they reach their selected earlier station compared to other vehicules requesting new reservations, or they may not arrive as they were forecast, due to traffic jams on the road or certain reluctance on the part of the driver.
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Dissertations / Theses on the topic "Charging Station"

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Huang, Yingfen. "EV Charging Station Infrastructure." Digital Commons at Loyola Marymount University and Loyola Law School, 2017. https://digitalcommons.lmu.edu/etd/397.

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Sharpe, Nathan. "Mobile phone charging station." Thesis, Sharpe, Nathan (2010) Mobile phone charging station. Other thesis, Murdoch University, 2010. https://researchrepository.murdoch.edu.au/id/eprint/7455/.

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This thesis project set out to design a mobile phone charging station that is Photovoltaic (PV) powered. It was to be designed so that it could be used at outdoor festivals and events such as the Southbound Music Festival. For this reason the charging station had to be portable and as it would be used at night there had to be an appropriate lighting set up. The design of the charging station had to be eye catching and could be based on a similar device called the LG Skycharger. As this project was being designed for Murdoch Events to be used by Sunset Events, communication with the client was critical. An original design was created and then proposed to the client during a presentation, to determine if the design was appropriate. Once discussed it was decided that a few requirements needed to be modified. This original design was then customized to meet the new requirements and a second larger station design was also produced. This resulted in two final designs, which meant that the client has two options and can select the design which is most suitable and meets their budget. The two stations that were designed were a 48 locker design and a 96 locker design. As it was assumed the stations would have access to the main power both have been configured so that if the battery bank is running low it can be charged using mains power. This makes it more versatile so that it has the ability to be used during winter, or for a number of continuous days. The 48 locker charging station contains a PV system that has a rating of 875 W and a battery bank rated at 240 Ah. This battery bank has enough capacity to power the system for 17.4 hours assuming there is no solar power. It has been designed so that the PV system can be mounted on the back of a trailer to increase portability. The charging station is eye catching and will be constructed out of aluminium so that it is durable. For there to be appropriate lighting at night time LED lighting has been selected; this includes multi colour LED lights for decorative purposes, as well as white LED flood light which will provide a substantial amount of light surrounding the charging station. The total estimated price to construct the 48 locker version is $30,500.
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Algvere, Caroline. "Designing Electric Vehicle Charging Station Information." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415168.

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The electric vehicle industry is under rapid development and the fleet of chargeable cars in society is increasing fast. As a result, a high demand for public chargers has emerged. Simultaneous to the expansion of the electric vehicle fleet and charging infrastructure the power grid is occasionally highly strained. Additionally, factors like cities expanding and the digitization of society also have a large effect on the power grid. This master's thesis investigates the characteristics of electric vehicle users and presents a prototype of an information display for electric vehicle charging stations. The design is is based on the user studies and founded in theory about sustainable user behaviour with the goal of encouraging behaviours that minimize the strain on the local power grid of Uppsala. It concerns the research topic of how to design for sustainable behaviour and address research questions of how to design electric vehicle charging station information to communicate multiple charging alternatives to a broad variety of users. The work reveals that electric vehicle users suffer from the charging infrastructure being underdeveloped, feel frustration towards payment solutions available and lack information regarding electric vehicle use. Also, electric vehicle user's common passion for tech and environmental consciousness are revealed in the study. These facts are used as the foundation for the mobile application design prototype suggested.
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Du, Yunke. "PEV Charging Demand Estimation and Selection of Level 3 Charging Station." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1367243693.

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Eltoumi, Fouad. "Charging station for electric vehicle using hybrid sources." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA009.

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Une plus grande utilisation des véhicules électriques (VE) et hybrides rechargeables exige une conception efficace des stations de recharge pour fournir des taux de charge appropriés. Le raccordement d'une station sur le réseau électrique conventionnel provoquerait des perturbations, ce qui augmenterait le coût de la recharge. Par conséquent, dans ce scénario, l'utilisation de sources renouvelables sur site telles que l'énergie photovoltaïque (PV) en appui au réseau conventionnel peut augmenter les performances de la station de recharge. Dans cette thèse, une source PV est utilisée conjointement avec le réseau pour compléter la charge des VE. Cependant, le PV est connu pour sa nature intermittente qui dépend fortement des conditions géographiques et météorologiques. Ainsi, pour compenser l'intermittence du PV, un système de stockage à batterie (BSS) est combiné avec le PV dans un système raccordé au réseau, fournissant un fonctionnement stable de la station de recharge PV hybride.En général, les stations de recharge hybrides devraient être rentables, efficientes et fiables pour répondre aux besoins variables de la charge des VE dans différents scénarios. Dans cette thèse, une stratégie efficace de gestion hiérarchique de l'énergie est proposée et appliquée pour maximiser l'énergie photovoltaïque sur site, pour répondre à la charge variable des VE en utilisant une réponse rapide du BSS et en réduisant la sollicitation de réseau. Cette stratégie globale améliore la performance ainsi que la fiabilité et la rentabilité.Un étage de conversion de puissance bidirectionnel efficace est introduit pour le BSS sous la forme d'un convertisseur buck-boost entrelacé pour assurer le fonctionnement du BSS et réduire les pertes pendant la phase de conversion. Cette topologie a des caractéristiques qui permettent d'améliorer les ondulations du courant et par conséquent, d'augmenter considérablement la qualité de l'énergie. De même, pour extraire la puissance maximale du système PV dans des conditions météorologiques intermittentes, une MPPT est utilisée en même temps que le convertisseur élévateur entrelacé pour assurer la continuité de la puissance de la source PV. De même, pour l'étage de charge des véhicules, afin de répondre aux demandes dynamiques de puissance des VE ; tout en maintenant l'équilibre entre les quantités de production disponibles, un convertisseur d'entrelacement est proposé en complément de la stratégie de sous-gestion. En particulier, cette étape de conversion et de gestion porte sur la faible utilisation du réseau notamment lors de pointes de puissance. Ceci diminue considérablement la perturbation sur le réseau, surtout aux heures de pointe, et améliore donc la performance du système dans son ensemble.Pour exploiter l'ensemble du système dans des conditions souhaitables, une stratégie de gestion de l'énergie en ligne est proposée. Cette stratégie en temps réel fonctionne de manière hiérarchique, en s'initialisant à partir d'une utilisation maximale de la source PV, puis en utilisant le BSS pour compléter l'alimentation et en utilisant le réseau en cas de conditions intermittentes ou lorsque la quantité de PV est faible. La stratégie de gestion assure un fonctionnement fiable du système, tout en maximisant l'utilisation du PV, en répondant à la demande des VE et en maximisant la durée de vie du BSS. Dans cette thèse, un système de charge hybride basé sur le PV, le BSS et le réseau conventionnel est proposé pour répondre aux besoins de charge des VE. Une étape efficace de conversion de l'énergie a été proposée en utilisant des convertisseurs entrelacés de type buck-boost pour améliorer la qualité de l'énergie et, en fin de compte, une stratégie de gestion en ligne est développée pour maximiser l'utilisation de l'énergie renouvelable, en insérant moins de stress sur le réseau et en améliorant l'utilisation du BSS
Higher penetration of electric vehicles (EV) and plug-in hybrid electric vehicles requires efficient design of charging stations to supply appropriate charging rates. This would trigger stress on conventional grid, thus increasing the cost of charging. Therefore, in this scenario the use of on-site renewable sources such as photovoltaic (PV) energy alongside to the conventional grid can increase the performance of charging station. In this thesis, a PV source is used in conjunction with grid to supplement EV load. However, the PV is known for its intermittent nature that is highly dependent on geographical and weather conditions. So, to compensate the intermittency of PV, a battery storage system (BSS) is combined with the PV in a grid-tied system, providing a stable operation of hybrid PV based charging station.Generally, hybrid sources based charging station should be cost effective, efficient, and reliable to supplement the variable needs of EVs load in different scenarios. In this thesis, efficient hierarchical energy management strategy is proposed and applied to maximize on-site PV energy, to meet the variable load of EVs using quick response of BSS and putting less stress on grid. This strategy overall improves the performance and is reliable and cost-effective.An efficient bidirectional power conversion stage is introduced for BSS in the form of interleaved buck-boost converter to ensure the safe operation of BSS and reduce the losses during conversion stage. This topology has characteristics to improve the current ripples and therefore, increase the power quality drastically. Similarly, to extract the maximum power from PV system under intermittent weather conditions, MPPT is used alongside with interleaved boost converter to ensure the continuity of power from PV source. Similarly, for vehicles charger stage, to meet the dynamic power demands of EVs; while, keeping the balance between available generation amounts, interleave converter is proposed combined to sub-management strategy. Particularly, this conversion stage and management addresses the low utilization of grid sources for charging purpose when, peak load is present at grid side. This charging behaviour greatly decreases the stress on grid especially at peak hours and therefore, improves the performance of system in overall.To operate whole system under desirable conditions, an online energy management strategy is proposed. This real-time strategy works in hierarchical manner, initializing from maximized utilization of PV source, then using BSS to supplement power and utilizing grid during intermittent conditions or when there is low amount of PV. The management strategy ensure reliable operation of system, while maximizing the PV utilization, meeting the EVs demand and maximizing the life the BSS.In this thesis, a hybrid charging system based on PV, BSS and conventional grid is proposed to support the needs of EVs load. Efficient energy conversion stage has been proposed using interleave buck-boost converters to improve the quality of power and at the end, an online management strategy is developed to maximize the renewable energy utilization, inserting lesser stress on grid and improving the utilization of BSS to improve its life
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Gong, Jindan. "Optimisation of charging strategies and energy storage operation for a solar driven charging station." Thesis, KTH, Energiteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272006.

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The Swedish energy sector is undergoing transformational changes. Along with a rapid growth of renewables and a shift towards electromobility, the transformation is expected to bring challenges to the power system in terms of grid instability and capacity deficiency. Integrating distributed renewable electricity production into the electric vehicle (EV) charging infrastructure is a promising solution to overcome those challenges. The feasibility of implementing such a charging infrastructure system in northern Sweden is however uncertain, as the solar resources are scarce in the long winter period. This study aims to maximise the value of a solar powered EV charging station, placed in a workplace environment in Umeå. An integrated system model of the charging station is developed, comprising separate models of a solar PV system, a battery energy storage system (BESS), the workplace EV fleet and the building Växthuset, onto which the charging station will be installed. Three scenarios are developed to study the charging station’s system performance under different EV charging strategies and BESS dispatch strategies. Two additional scenarios are developed to study the potential grid services that the charging station can provide in the winter period. A techno-economic assessment is performed on each scenario’s simulation results, to measure their effect on the charging station’s value. It involves analysing the charging station’s profitability and how well the BESS is utilised by the end of a ten-year project period. The charging station’s grid impact is further assessed by its self-consumption of solar power, peak power demand and the grid energy exchange. The assessed charging station values indicate that the overall grid impact was reduced with dynamic EV charging strategies and that the BESS capacity utilisation was strongly influenced by its dispatch strategy. The charging station further implied a net capital loss under the explored scenarios, even while the dynamic charging strategies brought by a slightly increased economic value. Moreover, the studied winter scenarios showed a great potential for the charging station to provide ancillary services to the local distribution grid while maintaining an efficient BESS capacity utilisation. The winter period’s peak power demand was significantly reduced by optimising the BESS operation to shift peaks in the building’s load profile, and peaks caused by the additional EV charging demand and the EV heaters, to off-peak hours. On this basis, future research is recommended for improved simulations of the charging station operation and to study additional value-added features that the solar driven charging station can bring.
Sveriges energisystem genomgår en omfattande omställning. Förändringar i form av en ökad andel förnybar elproduktion och elektrifieringen av transportsektorn förväntas medföra stora utmaningar för elsystemets nätstabilitet och överföringskapacitet. Att integrera in distribuerad, förnybar elproduktion som en del av laddinfrastrukturen för elfordon ställer sig som en lovande lösning för att möta de väntande utmaningarna. Möjligheterna att tillämpa en sådan lösning i norra Sverige är däremot mindre självklara, då solresurserna är knappa under vintertid. Det här examensarbetet syftar till att maximera nyttan av en soldriven laddstation för elbilar, placerad på ett arbetsplatsområde i Umeå. En integrerad energisystemmodell av laddstationen har skapats, bestående av systemmodeller av solpaneler, ett batterienergilager, arbetsplatsens elbilsflotta samt byggnaden Växthuset, som laddstationen ska anslutas till. Tre scenarier har utformats för att undersöka hur laddstationens prestanda förändras beroende på olika laddstrategier för elbilarna och batterienergilagrets styrning. Ytterligare två scenarier har utvecklats för att utforska möjliga nättjänster som laddstationen kan bistå med under vintertid. Laddstationens värde har vidare bedömts utifrån systemets prestanda i de olika scenarierna. Bedömningen grundar sig på laddstationens lönsamhet och hur välutnyttjat batterienergilagret är efter en kalkylperiod på 10 år, samt på specifika påverkansfaktorer på elnätet. Faktorerna omfattar konsumtionen av egenproducerad el, toppeffektuttaget och nätöverföringarna orsakade av laddstationen. Från värderingen av laddstationen framgår det att de dynamiska laddstrategierna ledde till en, överlag, minskad påverkan på elnätet samt att styrningen av batterienergilagret hade stor inverkan på dess utnyttjandegrad. Laddstationens nettonuvärde förblev negativt i de tre scenarierna, även om de dynamiska laddstrategierna, ökade dess ekonomiska värde till en viss del. Vidare tyder simuleringen av vinterscenarierna på att det finns en stor potential för laddstationen att erbjuda tjänster för lokalnätet och samtidigt nyttiggöra sig av batterienergilagret. Växthusets toppeffektuttag reducerades märkbart genom att optimera batteristyrningen till att flytta effekttoppar orsakade av Växthusets ellastkurva eller elbilarnas laddning och uppvärmning, till de timmar där lasten var lägre. Med detta i bakgrund föreslås vidare studier som fokuserar på den integrerade energisystemmodellen för att förbättra simuleringarna, samt att undersöka möjligheterna till att erbjuda fler nättjänster, som ökar laddstationens mervärde.
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Atterby, Alfred, Jakub Bluj, and Elias Sjögren. "Potential for electric vehicle smart charging station expansion at Fyrisskolan." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352636.

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The purpose of this bachelor thesis is to investigate the potential for electric vehicle charging at the high school Fyrisskolan, located in central Uppsala. The idea relies on charging electric vehicles (EV:s) outside of the hours of peak power consumption of the school which in this report is assumed to be solved by a suitable smart charger. In this project, various stochastic models are built to simulate solar energy production and school energy consumption using data collected from various sources. This generated data along with  driving distances and EV:s energy consumptions are used to calculate the available energy for EV charging. The available energy is then used to distinguish a minimal, mean and maximal amount of cars that could potentially be charged outside Fyrisskolan for each chosen month. The data collected is taken from December, March and June. Calculations and simulations are done in MATLAB. Results show that with available energy outside the peak energy consumption hours, there is a possibility to charge around 104 EV:s in one work day. The main conclusion is that there is not only a big potential to expand the charging of EV:s outside the school by installing smart charging stations in a technical view, but also a desire from employees at the school and neighbours living near it, to charge their future electric vehicles.
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Österberg, Viktor. "Electric Vehicle Charging Station Markets : An analysis of the competitive situation." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2018.

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Electric Vehicles represent a small niche market today, but is predicted to grow rapidly over the next years. In order to prepare for this upcoming trend it is the networks of Electric Vehicle Charging Stations (EVCS) must expand, leading to an increasing demand for EVCSs. The EVCS market is thus becoming increasingly more popular to companies, and therefore this study’s purpose is to investigate this market and its competitive situation. The method used in this study includes a brief market analysis and a competitor analysis. The market analysis includes identification of the EVCS markets together assessing the future of the markets, and identification of EVCS market drivers and restraints. The competitor analysis includes competitor identification, classification and analysis. The top ten competitors are analyzed by the use of document content analysis, the analysis involves understanding the competitors’ target customers, how they do business and how their marketing material is structured. The three most promising EVCS markets, both currently and in the future, are the Asia Pacific, Europe and the North America markets. Most of the top competitors are active within these three markets. Regional developments, and market drivers and restraints of these markets have been identified. The opportunities in the EVCS markets are many as they are relatively unexploited markets without any actual market leaders, and also that all markets are predicted to grow at a very high rate over the coming decade in parallel with the projected mass adoption if Electric Vehicles (EVs).
Idag utgör elfordon endast en liten nischmarknad i transportmarknaden, men denna förväntas växa snabbt under de närmaste åren. För att kunna hantera marknadsetableringen av elfordon måste elfordonsladdningsinfrastrukturen byggas ut, vilket leder till en ökad efterfrågan på elfordonsladdningsstationer. Elfordonsladdningsmarknaden förespås således bli allt mer intressant för företag. Detta examensarbete genomförs på grund av detta växande intresse, då studiens syfte är att undersöka elfordonsladdstationsmarknaden och dess konkurrenssituation. Metoden som används i denna studie inbegriper en kort marknadsanalys och en konkurrensanalys. Marknadsanalysen innehåller identifiering av elfordonsladdningsmarknaderna, vad som driver och hindrar marknaderna, och en bedömning av hur framtiden ser ut för marknaderna. I konkurrensanalysen ingår identifiering, klassificering och analys av de olika konkurrenterna. De tio mest konkurrenskraftiga konkurrenterna analyseras med hjälp av dokumentinnehållsanalys, syftet med analysen är att förstå konkurrenternas målgrupper, hur de gör affärer och hur deras marknadsföringsmaterial är strukturerad. De tre mest lovande elfordonsladdningsmarknaderna, både nu och i framtiden, är marknaderna i Asien och Stillahavsområdet, Europa och Nordamerika. De flesta av de analyserade konkurrenterna är verksamma inom dessa tre marknader. Den regionala utvecklingen, och vad som driver och begränsar marknaderna har identifierats för de tre mest lovande marknaderna. Eftersom dessa marknader är relativt oexploaterade i samband med att de förväntas växa med väldigt hög takt det kommande decenniet parallellt med massanvändningen av elfordon är möjligheterna många för de företag som inriktar sig mot elbilsladdning.
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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.

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Robot vacuum cleaners are used in many domestic and industrial appliances around the world today. The vacuum cleaners have a certain goal: To clean an area in a set amount of time. It does so by applying different techniques based on information from its different sensors.However, the efficiency might vary from robot to robot. The variations are a product of many things as the problem is fairly complex.This paper will measure the variations due to point of entry. In a statistical analysis on a simulated dataset results showed that point of entry does affect the robot vacuum cleaner in some cases. Of the two algorithms simulated in this paper, the random bump algorithm showed little to no benefit at all. Whereas the spiral algorithm showed up to a 20% increase in efficiency due to point of entry.
Robotdammsugare 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.
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Greene, Briun. "How to Develop the Electric Vehicle Charging Station Infrastructure in China." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437409084.

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Books on the topic "Charging Station"

1

K, Kokula Krishna Hari, ed. A Multi-Function Conversion Technique for Electric Vehicle Charging Station. Chennai, India: Association of Scientists, Developers and Faculties, 2016.

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A, Hamley John, and United States. National Aeronautics and Space Administration., eds. Discharge ignition behavior of the space station plasma contactor. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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W, York Kenneth, Bowers Glen E, and United States. National Aeronautics and Space Administration., eds. Integration issues of a plasma contactor power electronics unit. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Lumampao, Feri G. Gender and renewable energy in the Philippines: A community-based microhydro project in Kalinga and a PV-battery charging station in Southern Leyte. Intramuros, Manila, Philippines: Approtech Asia, 2004.

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1953-, Snyder David B., Jongeward Gary A, and United States. National Aeronautics and Space Administration., eds. Auroral interactions with ISSA. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Richard, Alice. Electric Vehicle Charging Stations at Airport Parking Facilities. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22390.

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United States. National Aeronautics and Space Administration., ed. Life test of a xenon hollow cathode for a space plasma contactor. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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To authorize the Architect of the Capitol to establish battery recharging stations for privately owned vehicles in parking areas under the jurisdiction of the House of Representatives at no net cost to the federal government: Report (to accompany H.R. 1402). Washington, D.C: U.S. G.P.O., 2012.

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Bayram, İslam Şafak. Plug-in electric vehicle grid integration. Norwood, MA: Artech House, 2017.

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United States. National Aeronautics and Space Administration., ed. Continuing life test of a xenon hollow cathode for a space plasma contactor. [Washington, DC: National Aeronautics and Space Administration, 1994.

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Book chapters on the topic "Charging Station"

1

Gabbar, Hossam A. "Fast-Charging Station Design." In Fast Charging and Resilient Transportation Infrastructures in Smart Cities, 35–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09500-9_3.

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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.

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Hoffmann, Florian, Vanessa Wesskamp, Raphael Bleck, and Jochen Deuse. "Scalability of Assembly Line Automation Based on the Integrated Product Development Approach." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021, 275–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_23.

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AbstractProduct life cycles change, market developments and quantities are increasingly difficult to predict, as is the case in the production of charging stations. For these reasons, scalable assembly concepts with an adaptable degree of automation are becoming increasingly important. Currently, charging stations are still manufactured manually. With increasing quantities, however, manual production is no longer economical. New technologies such as lightweight robotics offer a great potential for making production more flexible in terms of quantity. At the same time, new challenges arise because these requirements must be taken into account from the very beginning of product development and process planning. Currently, there are no planning approaches and recommendations for action that take this into consideration. Therefore, the research project “Simultaneous product and process development of a charging station outlet module suitable for automation” (SUPPLy) develops an integrated, digital and simultaneous product and process development of a modular charging station suitable for automation. The aim of the project is to develop an assembly process which enables an economic production of charging stations in case of fluctuating sales figures. The focus is not only on changes in the production process but also on a product design that is suitable for automation. The paper presents the ideas on a conceptual level.
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Ahmad, Aqueel, Yasser Rafat, Samir M. Shariff, and Rakan Chabaan. "Smart Microgrid-Integrated EV Wireless Charging Station." In Electric Vehicle Integration in a Smart Microgrid Environment, 267–78. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926-11.

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Lee, Junghoon, Hye-Jin Kim, and Jason Cho. "Charging Station Advertisement on Digital Multimedia Broadcasting Platform." In Communications in Computer and Information Science, 12–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23948-9_3.

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Krishna, T. K., D. Susitra, and S. Dinesh Kumar. "DC Smart Grid System for EV Charging Station." In Advances in Intelligent Systems and Computing, 307–28. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0199-9_27.

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Du, Xue-long, Zhi-zhen Liu, Liang Xue, Qing-zhi Jian, Liang Guo, and Lin-lin Sun. "The Improvement on Simulation Model of Charging Station." In Lecture Notes in Electrical Engineering, 347–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-26001-8_45.

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Xu, Longlong, Wutao Lin, Xiaorong Wang, Zhenhui Xu, Wei Chen, and Tengjiao Wang. "ChargeMap: An Electric Vehicle Charging Station Planning System." In Web and Big Data, 337–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63564-4_31.

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Gupta, Rudraksh S., Arjun Tyagi, V. V. Tyagi, Y. Anand, A. Sawhney, and S. Anand. "Renewable Energy-Driven Charging Station for Electric Vehicles." In Energy Systems and Nanotechnology, 57–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1256-5_5.

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Zhang, Le, Ziling Zeng, and Kun Gao. "Optimal Design of Mixed Charging Station for Electric Transit with Joint Consideration of Normal Charging and Fast Charging." In Smart Innovation, Systems and Technologies, 85–94. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2324-0_9.

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Conference papers on the topic "Charging Station"

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Y., Abi Tirshan, Ajaikrishnan S., and Suresh S. "Charging Slot Prediction and Automation System for Electric Vehicle Charging Station." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/mbvg6410/ngcesi23p129.

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With ever-increasing pollution levels and its impact on the environment, governments are looking for alternate energy options for transportation services. Rapidly depleting global oil reserves and rising oil import bills of governments are also driving the need for alternate energy sources for the transport vehicles. Transportation as a whole is undoing a transformational change worldwide and Electric vehicle are the best solution to address both pollution and oil import bills. Electric vehicles are becoming more and more common these days. With the growing demand for Electric vehicles, the charging infrastructure is critical for sustaining the E-Mobility services. As EVs become more commercial, there will be a need to create an efficient slot booking system as the charging process can be time consuming and the need for more stations will be demanding. Developed the Framework and Architecture of the Next- Generation Communication based Online EV’s Charging Slot Booking at Charging Station. We built the stochastic queuing model for EVs in the charging station. We formulated the objective function of EV’s charging at charging points in charging stations to determine the optimal charging time, minimal charging cost, least distance, minimal queuing delay and optimal duration for particular charging slots. The proposed model of the booking system is designed to create a cost effective and efficient system. Our Cloud based Charging Station Management platform is developed to network and manage multiple charging stations. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on the road due to battery drain out.
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Pavithra, C., D. Preethi, Priyadharshini, P. Shalini, and D. Sowmiya. "Smart solar charging station." In INNOVATIONS AND RESEARCH IN MARINE ELECTRICAL AND ELECTRONICS ENGINEERING: ICIRMEEE 2021. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0101184.

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Evans, Patrick, Ryan Avery, Maxwell Malcy, Maverick Ruiz, and Uma Balaji. "Multipurpose Solar Charging Station." In 2022 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2022. http://dx.doi.org/10.1109/lisat50122.2022.9924029.

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Kharade, Jyoti M., Mangesh P. Gaikwad, Saurabh P. Jadhav, Parag D. Kodag, Sweta P. Pawar, and Supriya T. Yadav. "IoT Based Charging Slot Locator at Charging Station." In 2020 5th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2020. http://dx.doi.org/10.1109/icces48766.2020.9137937.

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Tonape, Abhishek, and Suryakant H.Pawar. "Pulse Current Charging Station for Electric Vehicle Charging." In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). IEEE, 2020. http://dx.doi.org/10.1109/ic-etite47903.2020.358.

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"Communication Reduced Interaction Protocol between Customer, Charging Station, and Charging Station Management System." In 3rd International Conference on Smart Grids and Green IT Systems. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004971801180125.

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Li, Xun, Yantao Sun, Mengge Shi, and Youwei Jia. "Multi-stage Charging Recommendation of Charging Station Considering User's Charging Behavior." In 2023 5th Asia Energy and Electrical Engineering Symposium (AEEES). IEEE, 2023. http://dx.doi.org/10.1109/aeees56888.2023.10114356.

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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.

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Dorin, Petreus, Patarau Toma, Etz Radu, and Cirstea Marcian. "Renewable energy EV charging station." In 2021 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2021 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2021. http://dx.doi.org/10.1109/optim-acemp50812.2021.9590053.

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Saranya, L., R. Kavya Sree, D. Janani, P. Loga Sheneha, and A. Priyadharshini. "Smart Electric Vehicle Charging Station." In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2023. http://dx.doi.org/10.1109/icaccs57279.2023.10113054.

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Reports on the topic "Charging Station"

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Yang, Yu, and Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, July 2023. http://dx.doi.org/10.31979/mti.2023.2240.

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California aims to achieve five million zero-emission vehicles (ZEVs) on the road by 2030 and 250,000 electrical vehicle (EV) charging stations by 2025. To reduce barriers in this process, the research team developed a simulation-based system for EV charging infrastructure design and operations. The increasing power demand due to the growing EV market requires advanced charging infrastructures and operating strategies. This study will deliver two modules in charging station design and operations, including a vehicle charging schedule and an infrastructure planning module for the solar-powered charging station. The objectives are to increase customers’ satisfaction, reduce the power grid burden, and maximize the profitability of charging stations using state-of-the-art global optimization techniques, machine-learning-based solar power prediction, and model predictive control (MPC). The proposed research has broad societal impacts and significant intellectual merits. First, it meets the demand for green transportation by increasing the number of EV users and reducing the transportation sector’s impacts on climate change. Second, an optimal scheduling tool enables fast charging of EVs and thus improves the mobility of passengers. Third, the designed planning tools enable an optimal design of charging stations equipped with a solar panel and battery energy storage system (BESS) to benefit nationwide transportation system development.
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Simpson, M. SPIDERS Bi-Directional Charging Station Interconnection Testing. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1096678.

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Lapsa, Melissa Voss, Norman Durfee, L. Curt Maxey, and Randall M. Overbey. Solar-Assisted Electric Vehicle Charging Station Interim Report. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1025858.

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Ju, Ha Kyun, Tae Rim Kim, Kyubyung Kang, Dan Daehyun Koo, Konstantina Gkritza, and Samuel Labi. A Strategic Assessment of Needs and Opportunities for the Wider Adoption of Electric Vehicles in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317590.

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INDOT plans to invest nearly $100 million to build a statewide electric vehicle (EV) charging network as part of the National Electric Vehicle Infrastructure Formula Program. SPR-4509 Phase-I identified energy EV charging deserts in Indiana for long-distance trips. SPR-4509 Phase-II further examines the charging stations' impact on EV long-distance trips in Indiana. Using an agent-based simulation model, the number of charges, vehicle miles traveled, energy used during the trip, and energy used during charging were estimated for nine different cases. High EV daily charging demand areas in Indiana were shown in ArcGIS based on multiple scenarios of different charging station construction phases and EV market penetration rates. The study findings can inform the state’s EV charging plan development.
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Mathew, Jijo K., Deborah Horton, and Darcy M. Bullock. Utilization of Dedicated Electric Vehicle Plug-In Charging Stations in a College Campus Environment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317436.

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As electric mobility is expanding at a rapid pace, the standardized availability of gas stations compared to a scarcity of charging stations continues to be the greatest challenge for electric vehicles. With cities, university campuses and businesses promoting electric vehicle infrastructure and incentives, it is necessary to develop key performance metrics and visualizations that can track the utilization of the charging infrastructure. This study performs a manual data collection at dedicated plug-in charging stations across Purdue University to assess their utilization. Approximately 2,800 observations were conducted over 50 days across seven level 2 plug-in charging stations. Results showed that for large portion of the observations, vehicles were parked at the spots (40%) but not plugged in. Vehicles plugged in to charging stations accounted for 34% of observations. Charging station spots were vacant for 25% of observations indicating that current infrastructure meets the demand. There were 74 unique vehicles that used the spots, of which 27% were plugged in more than 10 times. Illegally parked vehicles accounted for less than 1% with only 4 repeat offenders who used these spots more than once. As electric deployment continues to increase, performance metrics will be an integral tool for agencies and decision makers to help with the maintenance and expansion of electric vehicle infrastructure.
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Smart, John, and Don Scoffield. Workplace Charging Case Study: Charging Station Utilization at a Work Site with AC Level 1, AC Level 2, and DC Fast Charging Units. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1164860.

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Dorsey, Jackson, Ashley Langer, and Shaun McRae. Fueling Alternatives: Gas Station Choice and the Implications for Electric Charging. Cambridge, MA: National Bureau of Economic Research, March 2022. http://dx.doi.org/10.3386/w29831.

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Medam, Anudeep, Michael Stadler, Abhishek Banerjee, Muhammad nmn Usman, Ning Kang, Adib Nasle, Kelsey Fahy, and Zack Pecenak. Summary Report for the Microgrid Fast Charging Station (MFCS) Design Platform Project. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1813548.

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Kuiper, James, Xinyi Wu, Yan Zhou, and Marcy Rood. Modeling Electric Vehicle Charging Station Siting Suitability with a Focus on Equity. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1887567.

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Brown, Abby, Stephen Lommele, Alexis Schayowitz, and Emily Klotz. Electric Vehicle Charging Infrastructure Trends from the Alternative Fueling Station Locator: Second Quarter 2020. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1763972.

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