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Relevant bibliographies by topics / Electric vehicle charging

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Academic literature on the topic 'Electric vehicle charging'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 June 2025

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Journal articles on the topic "Electric vehicle charging"

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Kumar, Nitesh, Yashpal Rathod, Shubham Kumar, and S. Vidyasagar. "Wireless Power charging system with Self-Adjusting Charge nodes for Electric Vehicles." Journal of Physics: Conference Series 2335, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2335/1/012051.

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Abstract Electrical Vehicles wireless charging emerges every year with new trends. Charging Techniques for Electric Vehicles has progressed competently in the wireless charging market. Wireless charging takes upon two coupled coils and its mutual inductance is relative to each other. In this work, a self-aligning Wireless Electric Vehicle Charging is proposed. The major idea is to upgrade the efficiency of Electric Vehicle charging through proper alignment for the Receiver and Transmitter of Electric Vehicles.

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Khobragade, Priya A. "Multiport Converter based EV Charging Station with PV and Battery." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2518–21. http://dx.doi.org/10.22214/ijraset.2021.34679.

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: As a ecofriendly electrical vehicle, is vehicles that are used electric motor or traction motor. Are receiving widespread attention around the world due to their improved performance and zero carbon emission . The electric vehicle depend on photovoltaic and battery energy storage system . Electric vehicles include not limited road and railways. It consist of many electric appliances for use in domestic and industrial purposes that is electric car ,electric bike ,electric truck ,electric trolley bus , electric air craft ,electric space craft.The main Moto of this paper is a modelling of proposed system smart charging for electrical vehicle insuring minimum stress on power grid . The large scale development of electrical vehicle we need electric charging station for example fast charging station and super-fast charging station . During a peak demand load , large load on charging station due to the voltage sag , line fault and stress on power grid . At this all problem avoid by multiport converter based EV charging station with PV and BES by using analysis of MATLAB simulation. Result and conclusion of this paper to reduce losses improving efficiency of solar energy , no pollution (reduce) fast charging as possible as without any disturbance.

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Ye, Bo, Zhang Zhou He, Guo Meng Huang, Xue Song He, and Hui Quan Li. "The Study and Design of Electric System for Photovoltaic Generation Mix Charging Station." Applied Mechanics and Materials 291-294 (February 2013): 2362–65. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2362.

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With the development of electric vehicle industry, it is necessary to construct more electric vehicle charging stations to promote the popularization of electric vehicles. As photovoltaic generation owns flexible installing, convenient power supplying, and environmental protecting characteristics, it is suitable for providing power for electric vehicle charging stations and reducing a network loads. After analyzed electric vehicle charging demand, this paper proposed the designing concept of the electric system for the photovoltaic generation mix charging station, which was based on the battery charging and discharging characteristics as well as its usage. Then, the paper provided a selection of electric equipments for the charging station and an electric wiring diagram after designing the electric system. This study and design may help for promoting construction of electric vehicle charging stations, and development and popularization of electric vehicles.

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Tan, Xian Qiu, Sheng Chun Yang, Yan Ping Fang, and Dong Xue. "Discussion on Operation Modes to the Electric Vehicle Charging Station." Advanced Materials Research 875-877 (February 2014): 1827–30. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1827.

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Electric vehicle charging station provides power supply for electric vehicles running, and it is the most important supporting infrastructure of electric vehicles. The article analyses three modes of electric vehicle charging station charging methods, discusses the advantages and disadvantages of each model, gives the developing trend of the pattern of the operation of electric vehicles, and provides some effective suggestions for electric vehicle charging station for the future.

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Liu, Yongguang, Wei Chen, and Zhu Huang. "Reinforcement Learning-Based Multiple Constraint Electric Vehicle Charging Service Scheduling." Mathematical Problems in Engineering 2021 (November 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/1401802.

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The popularization of electric vehicles faces problems such as difficulty in charging, difficulty in selecting fast charging locations, and comprehensive consideration of multiple factors and vehicle interactions. With the increasingly mature application of navigation technology in vehicle-road coordination and other aspects, the proposal of an optimal dynamic charging method for electric fleets based on adaptive learning makes it possible for edge computing to process electric fleets to effectively execute the optimal route charging plan. We propose a method of electric vehicle charging service scheduling based on reinforcement learning. First, an intelligent transportation system is proposed, and on this basis a framework for the interaction between fast charging stations and electric vehicles is established. Subsequently, a dynamic travel time model for traffic sections was established. Based on the habits of electric vehicle owners, an electric vehicle charging navigation model and a reinforcement learning reward model were proposed. Finally, an electric vehicle charging navigation scheduling method is proposed to optimize the service resources of the fast charging stations in the area. The simulation results show that the method balances the charging load between stations, can effectively improve the charging efficiency of electric vehicles, and increases user satisfaction.

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Yao, Weijing, Cheng Zhang, Guoru Deng, Wangsong Ke, Dai Zhang, and Lei Li. "Research on Urban Electric Vehicle Public Charging Network Based on 5G and Big Data." Journal of Physics: Conference Series 2066, no. 1 (2021): 012045. http://dx.doi.org/10.1088/1742-6596/2066/1/012045.

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Abstract Under the pressure of energy and environmental protection, we will promote the technological progress and demonstration of electric vehicles, and the construction of charging facilities will continue. Charging facilities planning and orderly charging, as two major research directions of electric vehicle infrastructure, are of great significance for the future development of electric vehicles. The optimal charging of electric vehicles can effectively improve the safe and economic operation ability of distribution network, which is of great significance to its safe operation. Therefore, this paper proposes the outsourcing test experiment and processing of urban electric vehicle public charging network based on 5G and big data. In this paper, through the analysis of the development status of urban electric vehicles, this paper proposes to optimize the charging mode of electric vehicles by combining the charging network forward and backward algorithm. In the outsourcing test experiment, the electrical safety test shows that when the current reaches 1.1-37.1kw: 5000A, when the power factor is 0.8 ∼ 0.9, when the short-circuit current impact is tolerated, the connection device will not affect the breaking operation by contact fusion welding, and the insulation protection will not be invalid. Through investigation and analysis, the satisfaction degree of electric vehicle optimization algorithm is increasing year by year. Through the analysis of the test results, the research in this paper has achieved ideal results and made a contribution to the research of urban electric vehicle public charging network.

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Lu, Shixiang, Xiaofeng Feng, Guoying Lin, Jiarui Wang, and Qingshan Xu. "Non-Intrusive Load Monitoring and Controllability Evaluation of Electric Vehicle Charging Stations Based on K-Means Clustering Optimization Deep Learning." World Electric Vehicle Journal 13, no. 11 (2022): 198. http://dx.doi.org/10.3390/wevj13110198.

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Electric vehicles have the advantages of zero emissions and high energy efficiency. They have a broad potential in today’s social life, especially in China where they have been widely used. In the current situation, whereby the storage capacity of electric vehicles is continually increasing and the requirements for grid stability are getting higher and higher, V2G technology emerges to keep up with the times. Since the electric vehicle charging station is a large-scale electric vehicle cluster charging terminal, it is necessary to pay attention to the status and controllability of each charging pile. In view of the lack of attention to the actual operation of the electric vehicle charging station in the existing vehicle–network interaction mode, the charging state of the current electric vehicle charging station is fixed. In this paper, deep learning is used to establish a load perception model for electric vehicle charging stations, and K-means clustering is used to optimize the load perception model to realize random load perception and non-intrusive load monitoring stations for electric vehicle charging. The calculation example results show that the proposed method has good performance in the load perception and controllability evaluation of electric vehicle charging stations, and it provides a feasible solution for the practical realization of electric vehicle auxiliary response.

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Cai, Zi Long, and Hong Chun Shu. "Long-Term Development Scale and Charging Load Forecasting of Electric Vehicle." Applied Mechanics and Materials 448-453 (October 2013): 3194–200. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3194.

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Because of the energy crisis and environment deterioration, there is a general consensus about the development of new energy vehicle especially electric vehicle in the world. The development of electric vehicles has brought new challenges to the distribution network. The charging strategy, the location planning of electric vehicle charging stations and sizing, the coordination planning between electric vehicle and the distribution grid depends on the future development scale electric vehicles and charging load forecasting. Because there is a certain distance from commercial operation in china, the prediction theory and method of the electric vehicle development scale and charging load are not mature. By using the method of artificial neural network to establish the development scale and charging load forecasting model of electric vehicle. The model is proved its correctness through an example of the electric vehicle scale and charging load forecasting of Kunming, a big city in West China. The paper provides a new way for future development scale and charging load forecasting to electric vehicle of China.

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Leeks, Harry. "Smart Electric Vehicle Charging." ITNOW 61, no. 4 (2019): 12–13. http://dx.doi.org/10.1093/itnow/bwz092.

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Abstract What does IT have to do with the charging of electric vehicles? In this article, Harry Leeks, a graduate IT Analyst at National Grid, explains how IT plays a pivotal role in the electric vehicle charging market.

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Aveklouris, Angelos, Yorie Nakahira, Maria Vlasiou, and Bert Zwart. "Electric vehicle charging." ACM SIGMETRICS Performance Evaluation Review 45, no. 2 (2017): 33–35. http://dx.doi.org/10.1145/3152042.3152054.

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Dissertations / Theses on the topic "Electric vehicle charging"

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Moghaddam, Zeinab. "Smart charging strategies for electric vehicle charging stations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2215.

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Although the concept of transportation electrification holds enormous prospects in addressing the global environmental pollution problem, consumer concerns over the limited availability of charging stations and long charging/waiting times are major contributors to the slow uptake of plug-in electric vehicles (PEVs) in many countries. To address the consumer concerns, many countries have undertaken projects to deploy a network of both fast and slow charging stations, commonly known as electric vehicle charging networks. While a large electric vehicle charging network will certainly be helpful in addressing PEV owners' concerns, the full potential of this network cannot be realised without the implementation of smart charging strategies. For example, the charging load distribution in an EV charging network would be expected to be skewed towards stations located in hotspot areas, instigating longer queues and waiting times in these areas, particularly during afternoon peak traffic hours. This can also lead to a major challenge for the utilities in the form of an extended PEV charging load period, which could overlap with residential evening peak load hours, increasing peak demand and causing serious issues including network instability and power outages. This thesis presents a smart charging strategy for EV charging networks. The proposed smart charging strategy finds the optimum charging station for a PEV owner to ensure minimum charging time, travel time and charging cost. The problem is modelled as a multi-objective optimisation problem. A metaheuristic solution in the form of ant colony optimisation (ACO) is applied to solve the problem. Considering the influence of pricing on PEV owners' behaviour, the smart charging strategy is then extended to address the charging load imbalance problem in the EV network. A coordinated dynamic pricing model is presented to reduce the load imbalance, which contributes to a reduction in overlaps between residential and charging loads. A constraint optimization problem is formulated and a heuristic solution is introduced to minimize the overlap between the PEV and residential peak load periods. In the last part of this thesis, a smart management strategy for portable charging stations (PCSs) is introduced. It is shown that when smartly managed, PCSs can play an important role in the reduction of waiting times in an EV charging network. A new strategy is proposed for dispatching/allocating PCSs during various hours of the day to reduce waiting times at public charging stations. This also helps to decrease the overlap between the total PEV demand and peak residential load.

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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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Dashora, Hemant Dashora. "Dynamic Wireless Charging of Electric Vehicle." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3423232.

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Wireless battery charging (WBC) is an attracting solution to promote electric vehicles (EVs) in the market, which may provide superior charging infrastructure and unlimited driving range. The most suitable technique to implement WBC is inductive power transfer (IPT) with a coupling established between two distant coils, one buried into the road and another installed in EV, and the power transferred from the buried coil to that onboard EV through a high-frequency oscillating magnetic flux. WBC can be carried out with EV that is either standing (while parked) or moving (on the road); the two WBC modes are termed static wireless charging (SWC) and dynamic wireless charging (DWC), respectively. However, this thesis focusses on the DWC, where an IPT track is buried into the road whilst the coil onboard EV, commonly termed pickup, remains coupled with the track to get power while moving on the road. The in-moving vehicle charging has been researched and demonstrated by some institutes across the world using two possible track arrangements: stretched and lumped coil track. The former one is composed of a single elongated coil, much longer than the pickup size, and the later one is an arrangement of multiple coils placed one next to the other, the length of them being comparable to the pickup size. A lumped track permits activation/deactivation only of the coil interacting with a pickup. This ability is called segmentation and is very important for DWC to reduce the losses and to avoid exposing the people to electromagnetic radiations; therefore, a lumped track has been dealt with in this thesis. The contactless power transfer at large airgap is possible with high frequency (in kHz) and high-magnitude current supply of the track coils; as increasing supply frequency improves power transfer efficiency. Apart from the supply characteristics and the coil dimensions, power transfer capabilities of a the system depend upon the coupling properties of the coil pairs, thus a pair polarized coils (also called DD coils) has been found more suitable for DWC due to its coupling merits at misalignment. Considering a lumped track composed of equally distant several DD coils, power and energy transfer to an EV moving on the track have been analyzed. Based on that, lumped track layout and its design procedure have been discussed in detail with an example of an EV. Segmentation of a DWC track is very important function, as mentioned above, which can be obtained by various methods and one of them is using the impedance reflected into a track coil from the coupled pickup. In this way, four compensation topologies have been discussed to investigate their reflexive properties (resistance and reactance) when they are deployed in a pickup circuit. Summarizing the outcomes and comparing their behavior, two topologies have been found useful for the track segmentation. Considering them, further analysis has been done to obtain and discuss their performance figures. This thesis also discusses about the power converters in both track side and pickup side circuit. The track side power converters include rectifier, power factor correction circuit and inverter, which extract power from the supply grid and transform into the appropriate form to realize efficient WBC. Converter arrangement in the pickup circuit includes rectifier and chopper to charger a battery using the received power.<br>La ricarica della batteria senza fili (dall’inglese Wireless Battery Charging - WBC) è una soluzione attraente per la possibile diffusione dei Veicoli Elettrici (VE) nel mercato. Essa può fornire infrastrutture di ricarica migliori e un’ autonomia del veicolo praticamente illimitata. La tecnica più adatta per attuare il WBC è il trasferimento di potenza induttivo (Inductive Power Transfer - IPT), il quale sfrutta l’accoppiamento magnetico tra due bobine, una posizionata sotto il manto stradale e l’altra installata a bordo di un veicolo elettrico, e la potenza viene trasferita dalla bobina interrata a quella di bordo attraverso un flusso magnetico oscillante alta frequenza. Il WBC può essere effettuato con un VE fermo (parcheggiato) o in movimento sulla strada; le due modalità di WBC sono chiamate ricarica senza fili statica (Static Wireless Charging - SWC) e ricarica senza fili dinamica (Dynamic Wireless Charging - DWC), rispettivamente. Tuttavia, questa tesi si concentra sulla DWC, dove una bobina trasmittente, chiamata track, è interrata sotto la strada, mentre la bobina a bordo del VE, comunemente chiamata pickup, rimane accoppiata con il track per ricevere la potenza mentre il VE è in movimento. La ricarica di un VE in movimento è stata studiata e dimostrata da alcuni istituti di tutto il mondo i quali hanno adottato due differenti strutture di bobina trasmittente: track allungato e track concentrato. La prima struttura è formata da una singola bobina allungata, molto più lunga del pickup, mentre la seconda struttura è una disposizione di più bobine posizionate una dopo l’altra, la cui lunghezza è paragonabile alle dimensioni pickup. La struttura con track concentrato consente l'attivazione/disattivazione della sola bobina interagente con il pickup. Questa capacità è chiamata segmentazione ed è molto importante per DWC perché consente di ridurre le perdite e di evitare l'esposizione delle persone a radiazioni elettromagnetiche; di conseguenza, in questa tesi è stata trattata la soluzione con track concentrato. Il trasferimento della potenza senza fili con un elevato traferro è possibile solo con un’alta frequenza (dell’ordine dei kHz) ed un’alta intensità della corrente di alimentazione delle bobine del track; poiché l'aumento della frequenza di alimentazione migliora l'efficienza di trasferimento della potenza. Oltre alle caratteristiche di alimentazione e le dimensioni delle bobine, le capacità di trasferimento di potenza di un sistema dipendono dalle proprietà di accoppiamento delle bobine stesse, così una coppia di bobine polarizzate (chiamate anche bobine DD) è stata trovata essere la soluzione più adatta per il DWC grazie al suo elevato valore di accoppiamento quando track e pickup sono disallineati. Considerando un track concentrato composto da diverse bobine DD equamente distribuite, sono state analizzate la potenza e l’energia trasferite al VE in movimento. Sulla base di questo, la struttura del track concentrato e la sua procedura di progettazione sono stati discussi in dettaglio per un particolare caso di studio. Come detto precedentemente, la segmentazione del track è una funzione molto importante. Essa può essere ottenuta con vari metodi e uno di questi utilizza l'impedenza riflessa del pickup in una bobina del track. Così, quattro topologie di compensazione del circuito di pickup sono state investigate per studiarne le differenti impedenze riflesse. Riassumendo i risultati e confrontando il loro comportamento, solo due topologie sono state trovate utili per la segmentazione del track. Considerando quest’ultime, ulteriori analisi sono state fatte per ottenere e discutere le loro prestazioni. Questa tesi tratta anche i convertitori di potenza utilizzati sia nel track che nel pickup. I convertitori di potenza del track includono un raddrizzatore, un circuito di correzione del fattore di potenza (PFC) e un inverter, i quali sfruttano l’energia prodotta dalla rete di alimentazione e la convertono nella forma più appropriata per realizzare efficienti WBC. Nella bobina di pickup il circuito di condizionamento è formato dalla cascata di un raddrizzatore e un chopper che permettono di ricaricare la batteria di bordo utilizzando la potenza ricevuta.

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Al-Tubuly, Abdulnasir. "Roaming Interoperability for Electric Vehicle Charging Networks." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35157.

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The purpose of this thesis is to analyze the maturity and the performance of the currently available roaming solutions that provide interoperability and roaming services to Electrical Vehicle Charging Networks. At least three different entities are involved in an Electrical Vehicle (EV) charging roaming scenario, namely the EV, the home charging network and the visited charging network. All of these entities have to interface and interact with each other on the physical and the communication protocols level. The Open Clearing House Protocol (OCHP) roaming protocol is implemented and its performance is evaluated against the e-Clearing.net test platform. The protocol functionality for billing and its suitability for different scenarios is also evaluated. Furthermore, an extension to the protocol is proposed to support prepaid subscription, and its performance is also estimated. The findings of this study have verified the performance and the maturity of the OCHP protocol, and strongly recommends the implementation of roaming protocols and clearing houses. The estimated performance of the proposed extension confirmed that both prepaid and postpaid billing can be realized using the tested roaming protocol and clearing house implementations.

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Daina, Nicolo. "Modelling electric vehicle use and charging behaviour." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/25018.

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This thesis explores the role of consumers' choices into the integration of mobility and power systems. It will contribute to the wider literature of electric vehicles-power systems integration by explicitly accounting for consumers' preferences in shaping charging demand. This objective is achieved by developing a methodology to investigate electric vehicles (EV) charging choices in technological scenarios that enable smart charging operations. A modelling framework for the joint analysis of EV charging and activity-travel behaviour is introduced. This is based on an extension of traditional activity scheduling models that embeds the charging choice dimensions: namely the available energy after charging (that is related to the driving range) and the charging duration (defined here as the time elapsed from arrival at a charging facility until the desired battery level is achieved). This framework accommodates the interaction between charging behaviour and travel/activity behaviour, and allows us to capture the potential effects of charging service pricing and charging demand management policies on charging choices as well as along the timing dimension of travel/activity choices. A stated response survey instrument for estimating a tour-based operational version of the model is developed. Results from this empirical study provide insights into the value placed by individuals on the main attributes of the charging choice. The trade-offs between target battery levels and schedule delays potentially induced by long durations of the charging operation are also analysed. The model is then implemented into a micro-simulation framework to demonstrate the model applicability for modelling electric vehicle charging demand. The specific application shows the compatibility of charging choices under various electricity pricing scenarios with electric vehicle load flexibility - an essential requirement to enable smart charging operations.

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Daina, Nicolò, Aruna Sivakumar, and John W. Polak. "Electric vehicle charging choices: Modelling and implications for smart charging services." Elsevier, 2017. https://publish.fid-move.qucosa.de/id/qucosa%3A72813.

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The rollout of electric vehicles (EV) occurring in parallel with the decarbonisation of the power sector can bring uncontested environmental benefits, in terms of CO2 emission reduction and air quality. This roll out, however, poses challenges to power systems, as additional power demand is injected in context of increasingly volatile supply from renewable energy sources. Smart EV charging services can provide a solution to such challenges. The development of effective smart charging services requires evaluating pre-emptively EV drivers’ response. The current practice in the appraisal of smart charging strategies largely relies on simplistic or theoretical representation of drivers’ charging and travel behaviour. We propose a random utility model for joint EV drivers’ activity-travel scheduling and charging choices. Our model easily integrates in activity-based demand modelling systems for the analyses of integrated transport and energy systems. However, unlike previous charging behaviour models used in integrated transport and energy system analyses, our model empirically captures the behavioural nuances of tactical charging choices in smart grid context, using empirically estimated charging preferences. We present model estimation results that provide insights into the value placed by individuals on the main attributes of the charging choice and draw implications charging service providers

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Mou, Xiaolin. "Wireless power transfer technology for electric vehicle charging." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12416/.

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In the years 1884-1889, after Nicola Tesla invented "Tesla Coil", wireless power transfer (WPT) technology is in front of the world. WPT technologies can be categorized into three groups: inductive based WPT, magnetic resonate coupling (MRC) based WPT and electromagnetic radiation based WPT. MRC-WPT is advantageous with respect to its high safety and long transmission distance. Thus it plays an important role in the design of wireless electric vehicle (EV) charging systems. The most significant drawback of all WPT systems is the low efficiency of the energy transferred. Most losses happen during the transfer from coil to coil. This thesis proposes a novel coil design and adaptive hardware to improve power transfer efficiency (PTE) in magnetic resonant coupling WPT and mitigate coil misalignment, a crucial roadblock to the acceptance of WPT for EV. In addition, I do some analysis of multiple segmented transmitters design for dynamic wireless EVs charging and propose an adaptive renewable (wind) energy-powered dynamic wireless charging system for EV.

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Jhala, Kumarsinh. "Coordinated electric vehicle charging with renewable energy sources." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19767.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Balasubramaniam Natarajan<br>Anil Pahwa<br>Electric vehicles (EVs) are becoming increasingly popular because of their low operating costs and environmentally friendly operation. However, the anticipated increase of EV usage and increased use of renewable energy sources and smart storage devices for EV charging presents opportunities as well as challenges. Time-varying electricity pricing and day-ahead power commitment adds another dimension to this problem. This thesis, describes development of coordinated EV charging strategies for renewable energy-powered charging stations at homes and parking lots. We develop an optimal control theory-based charging strategy that minimizes power drawn from the electricity grid while utilizing maximum energy from renewable energy sources. Specifically, we derive a centralized iterative control approach in which charging rates of EVs are optimized one at a time. We also propose an algorithm that maximizes profits for parking lot operators by advantageously utilizing time-varying electricity pricing while satisfying system constraints. We propose a linear programming-based strategy for EV charging, and we specifically derive a centralized linear program that minimizes charging costs for parking lot operators while satisfying customer demand in available time. Then we model EV charging behavior of Active Consumers. We develop a real-time pricing scheme that results in favorable load profile for electric utility by influencing EV charging behavior of Active Consumers. We develop this pricing scheme as a game between electric utility and Active Consumers, in which the electric utilities decide optimal electricity prices that minimize peak-to-average load ratio and Active Consumers decide optimal charging strategy that minimizes EV charging costs for Active Consumers.

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Wu, Fei. "Electric Vehicle Charging Network Design and Control Strategies." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1479900508609434.

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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<br>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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Books on the topic "Electric vehicle charging"

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Vahidinasab, Vahid, and Behnam Mohammadi-Ivatloo, eds. Electric Vehicle Integration via Smart Charging. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4.

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

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

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Wiederer, Alfred. Policy options for electric vehicle charging infrastructure in C40 cities. John F. Kennedy School of Government, 2010.

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

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S, Yau Timothy, Zaininger H. W, Bernard M. J, et al., eds. Utility emissions associated with electric and hybrid vehicle (EHV) charging: Interim report. U.S. Dept. of Energy, Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Transportation Technologies, Electric and Hybrid Propulsion Division, 1993.

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Kurani, Kenneth S. Consumer response to plug-in hybrid electric vehicles: Vehicle design priorities, driving and charging behavior, and energy impacts. [California Energy Commission], 2012.

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1958-, Kramer Bill, Markel, A. J. (Anthony J.), National Renewable Energy Laboratory (U.S.), and International Electric Vehicle Symposium (25th : 2010 : Shenzhen, China), eds. Application of distribution transformer thermal life models to electrified vehicle charging loads using Monte-Carlo method: Preprint. National Renewable Energy Laboratory, 2011.

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Tang, Wanrong, and Ying Jun Zhang. Optimal Charging Control of Electric Vehicles in Smart Grids. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45862-5.

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Garrett, Henry B. Guide to mitigating spacecraft charging effects. Wiley, 2012.

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Book chapters on the topic "Electric vehicle charging"

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Velimirović, Lazar Z., Aleksandar Janjić, and Jelena D. Velimirović. "Electric Vehicle Charging Optimization." In Disruptive Technologies and Digital Transformations for Society 5.0. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7677-3_11.

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Velimirović, Lazar Z., Aleksandar Janjić, and Jelena D. Velimirović. "Electric Vehicle Charging Infrastructure Planning." In Disruptive Technologies and Digital Transformations for Society 5.0. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7677-3_10.

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Crisostomi, Emanuele, Robert Shorten, Sonja Stüdli, and Fabian Wirth. "Charging EVs." In Electric and Plug-in Hybrid Vehicle Networks. CRC Press, 2017. http://dx.doi.org/10.1201/9781315151861-7.

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Goletz, Mirko, Daniel Ehebrecht, Christian Wachter, et al. "Electrification of Urban Three-Wheeler Taxis in Tanzania: Combining the User’s Perspective and Technical Feasibility Challenges." In Small Electric Vehicles. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65843-4_8.

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AbstractThis study assesses the feasibility of electric three-wheelers as moto-taxis in Dar es Salaam, Tanzania from a socioeconomic and technical point of view. The analysis is based on three pillars: (i) the acceptance of users (the moto-taxi drivers) for adoption, (ii) the vehicle specifications incl. battery type and size, and (iii) the role of the charging infrastructure. Findings are based on data from empirical field-work; methods used are qualitative and quantitative data analysis and modelling. Main findings include that moto-taxi drivers, who we see as most important adopters, are open towards electric mobility. They request however that vehicles should have similar driving characteristics than their current fuel-vehicles. As the market is very price sensitive, keeping the vehicle cost is of high importance. A high potential to lower these costs is seen by offering opportunity charging spots around the city. If such an infrastructure is being implemented the combination with suitable, cost competitive vehicles makes the transformation of the vehicle market towards electrification possible.

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Khanam, Tayyibah, Ivanshu Kaushik, Mohammad Saad Alam, Sanchari Deb, and Yasser Rafat. "Optimizing Electric Vehicle Charging with Charging Data Analytics." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8727-3_44.

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Zhou, Kaile, and Lulu Wen. "Electric Vehicle Charging Scheduling Considering Different Charging Demands." In Smart Energy Management. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1_10.

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Crisostomi, Emanuele, Robert Shorten, Sonja Stüdli, and Fabian Wirth. "Balancing charging loads." In Electric and Plug-in Hybrid Vehicle Networks. CRC Press, 2017. http://dx.doi.org/10.1201/9781315151861-6.

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Kumar, Rahul, Vinay Dhar Dwivedi, and Ananyo Bhattacharya. "Electric Vehicle Charging Using Solar Energy." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4975-3_54.

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Lim, Yujin, Jaesung Park, and Sanghyun Ahn. "Network Infrastructure for Electric Vehicle Charging." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16444-6_28.

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Sraidi, Salma, and Mohamed Maaroufi. "Study of Electric Vehicle Charging Impact." In Proceedings of Sixth International Congress on Information and Communication Technology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1781-2_39.

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Conference papers on the topic "Electric vehicle charging"

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Basharzad, Saeed Nasehi, Farhana M. Choudhury, Egemen Tanin, Lachlan L. H. Andrew, Hanan Samet, and Majid Sarvi. "Electric vehicle charging." In SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems. ACM, 2022. http://dx.doi.org/10.1145/3557915.3560967.

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Fu, Minfan, Tong Zhang, Chengbin Ma, and Xinen Zhu. "Wireless Charging of a Supercapacitor Model Vehicle Using Magnetic Resonance Coupling." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12530.

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This paper discusses the basic considerations and development of a prototype demo system for the wireless charging of supercapacitor electric vehicles, which uses magnetic resonance coupling. Considering future ubiquitous wireless vehicle stationary and dynamic charging facilities, supercapacitor could be an ideal device to store a reasonable amount of electrical energy for a relatively short period of time. The prototype system includes all the major functional components for an electric vehicle’s powertrain and wireless charging system including coils for energy emitting and receiving, a FPGA PWM input generation board, high frequency DC/AC inverter and AC/DC rectifier circuits, an on-board supercapacitor module, sensors for SOC level measurement and charging position detection, etc. All the components are integrated into a model electric vehicle. The prototype system well demonstrates the idea of the fast and frequent wireless charging of on-board supercapacitors. Promising results from initial experiments are explained; while further investigations, optimized design of components and a system-level optimization are needed.

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Gonzalez, Lucia, Hector Novella, Esteban Gutierrez, Jordi Ventura, and Pere Mogas. "EVIC (Electric Vehicle Intelligent Charging)." In 2013 World Electric Vehicle Symposium and Exhibition (EVS27). IEEE, 2013. http://dx.doi.org/10.1109/evs.2013.6914901.

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Cardoso, Filipe, J. Rosado, Marco Silva, et al. "Intelligent Electric Vehicle Charging Controller." In 2021 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2021. http://dx.doi.org/10.1109/vppc53923.2021.9699236.

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Ferreira, Joao C., Vitor Monteiro, Joao L. Afonso, and Alberto Silva. "Smart electric vehicle charging system." In 2011 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2011. http://dx.doi.org/10.1109/ivs.2011.5940579.

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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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Lam, K. L., K. T. Ko, H. Y. Tung, H. C. Tung, K. F. Tsang, and L. L. Lai. "ZigBee electric vehicle charging system." In 2011 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2011. http://dx.doi.org/10.1109/icce.2011.5722709.

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Behl, Madhur, Jackson DuBro, Taylor Flynt, Imaan Hameed, Grace Lang, and Felix Park. "Autonomous Electric Vehicle Charging System." In 2019 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2019. http://dx.doi.org/10.1109/sieds.2019.8735620.

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Pecorelli Peres, Luiz Artur, Jose Francisco Moreira Pessanha, Antonio Guilherme Garcia Lima, and Windson Braga Pereira. "Electric Vehicle Charging Diversity Factors." In 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE, 2020. http://dx.doi.org/10.1109/cpe-powereng48600.2020.9161691.

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Mouli, Gautham Ram Chandra, Prasanth Venugopal, and Pavol Bauer. "Future of electric vehicle charging." In 2017 International Symposium on Power Electronics (Ee). IEEE, 2017. http://dx.doi.org/10.1109/pee.2017.8171657.

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Reports on the topic "Electric vehicle charging"

1

Kontou, Eleftheria, Yen-Chu Wu, and Jiewen Luo. Electric Vehicle Infrastructure Plan in Illinois. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-023.

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We study the allocation of dynamic electric vehicle charging investments from the policymaker’s perspective, which aims to meet statewide emission-reduction targets for the Illinois passenger vehicle sector. We determine statewide charging deployment trajectories over a 30-year planning horizon and estimate their emission reduction. Electric vehicle demand functions model the electrified vehicle market growth and capture network externalities and spatial heterogeneity. Our analysis indicates that most chargers need to be deployed in the first 10 to 15 years of the transition to allow benefits to accrue for electric vehicle drivers, availability of home charging influences consumers’ choice and drivers’ electrified travel distance, charging stations should be prioritized for frequent long-distance drivers, and spatial effects are crucial in accurately capturing the demand for electric vehicles in Illinois. We also develop a multi-criteria suitability map to site charging stations for electric vehicles based on economic, societal, and environmental justice indicators. We identify census tracts that should be prioritized during Illinois’ statewide deployment of charging infrastructure along with interstates and major highways that traverse them. Major interstates and highways I-90, I-80, I-55, and I-57 are identified as having high siting suitability scores for charging stations. Last, a novel location model was developed for equitable electric vehicle charging infrastructure placement in the Illinois interstate and major highway network. Two objectives were set to reduce detours and improve the ability to complete long-distance trips for low-income electric vehicle travelers and multi-unit dwelling residents. Our analysis indicates that if the system’s efficiency is the only consideration, low-income/multi-unit housing resident travelers are most likely to fail to complete their trips, while an equitable charging siting could mitigate this issue.

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Johnson, Jay, Benjamin Anderson, Brian Wright, et al. Cybersecurity for Electric Vehicle Charging Infrastructure. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1877784.

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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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Parker, Robert. Electric Vehicle Charging Infrastructure Community Needs Assessment. Portland State University Library, 2012. http://dx.doi.org/10.15760/trec.62.

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Kozumplik, Brian J. Electric Vehicle Recharge Time, Reliability, and Interoperability. SAE International, 2022. http://dx.doi.org/10.4271/epr2022028.

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<div class="section abstract"><div class="htmlview paragraph">As more consumers and operators adopt electric vehicles (EVs) as personal and fleet vehicles, questions regarding recharge time, reliability, and interoperability of EV supply equipment and charging systems currently in use across North America and Europe remain. The current lack of understanding has led to consumer anxiety and, in some cases, inadvertent abuse and mishandling of electric supply equipment.</div><div class="htmlview paragraph"><b>Electric Vehicle Recharge Time, Reliability, and Interoperability</b> navigates issues such as charging equipment reliability; the complexity Interoperability concerning charging networks, EVs, and payment systems; various public and private charging network issues; and lagging regulations and standards. While many challenges need to be addressed, this report also identifies the improvements made since early adoption of EV charging technology as well as ongoing efforts to improve it further. </div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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Bass, Robert, and Nicole Zimmerman. Impacts of Electric Vehicle Charging on Electric Power Distribution Systems. Portland State University Library, 2013. http://dx.doi.org/10.15760/trec.145.

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Heny, Michael. Fast Charging Electric Vehicle Research & Development Project. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1171317.

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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), 2011. http://dx.doi.org/10.2172/1025858.

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McLaren, Joyce, John Miller, Eric O'Shaughnessy, Eric Wood, and Evan Shapiro. Emissions Associated with Electric Vehicle Charging: Impact of Electricity Generation Mix, Charging Infrastructure Availability, and Vehicle Type. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1247645.

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Smith, Margaret. Level 1 Electric Vehicle Charging Stations at the Workplace. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1416120.

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