Relevant bibliographies by topics / EV INFRASTRUCTURE

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Academic literature on the topic 'EV INFRASTRUCTURE'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "EV INFRASTRUCTURE"

1

Khan, Hafiz Anwar Ullah, Sara Price, Charalampos Avraam, and Yury Dvorkin. "Inequitable access to EV charging infrastructure." Electricity Journal 35, no. 3 (2022): 107096. http://dx.doi.org/10.1016/j.tej.2022.107096.

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2

IKEYA, Tomohiko. "Activities and Issues of EV Charge Infrastructure Preparation Towards EV Popularization." Journal of The Institute of Electrical Engineers of Japan 133, no. 1 (2013): 10–12. http://dx.doi.org/10.1541/ieejjournal.133.10.

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3

Li, Qiushuo, Yong Xiao, Shuaishuai Zhao, et al. "Performance Status Evaluation of an Electric Vehicle Charging Infrastructure Based on the Fuzzy Comprehensive Evaluation Method." World Electric Vehicle Journal 10, no. 2 (2019): 35. http://dx.doi.org/10.3390/wevj10020035.

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Performance status evaluation is essential for the safe running of electric vehicle (EV) charging infrastructure. With the development of the EV industry, the EV charging infrastructure industry has advanced considerably. Safe and reliable operation of the charging infrastructure is important for the development of EVs. As such, we propose a comprehensive evaluation method to assess the performance condition of an EV charging infrastructure. First, based on the analysis of the existing EV charging principles, we established an evaluation index system for EV charging infrastructure. Second, the subjective weight, objective weight, and comprehensive weight of the index system were determined through analytic hierarchy processes (AHP) and the entropy weight method. Then, we used fuzzy comprehensive evaluation to appraise the performance of the charging infrastructure through expert investigation. Finally, based on the actual data from an EV charger, the performance conditions of the EV charging infrastructure were evaluated to demonstrate the feasibility of the method and the reliability of the index system.
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4

Kore, Hemant Harishchandra, and Saroj Koul. "Electric vehicle charging infrastructure: positioning in India." Management of Environmental Quality: An International Journal 33, no. 3 (2022): 776–99. http://dx.doi.org/10.1108/meq-10-2021-0234.

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PurposeThe study identifies the challenges of developing the “electric vehicle (EV)” charging infrastructure in India, having an ambitious target of 30% EV adoption by 2030.Design/methodology/approachFirst, a systematic literature review determined EV adoption and challenges in the EV charging infrastructure development globally and specifically in India. Secondly, a focussed group study in which 10 domain experts were consulted to identify additional challenges in India's EV adoption involving EV charging infrastructure.FindingsAccordingly, 11 significant challenges of EV charging infrastructure development in India have been identified–seven through the comparative analysis of the literature review and four from the focussed group study. Secondary data provides insight into the situation around developed countries and in developing countries, specifically in India. Finally, the Government of India's measures and priorities to facilitate such a development are emphasised.Research limitations/implicationsThe study can help policymakers/researchers understand the gaps and align measures to address the challenges. A focussed group study may have its limitations due to the perception of the experts.Originality/valueThe systematic literature review of 43 articles using comparative analysis and subsequently a focussed group study of experts to verify and add challenges has made the study unique.
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5

Almutairi, Abdulaziz. "Impact Assessment of Diverse EV Charging Infrastructures on Overall Service Reliability." Sustainability 14, no. 20 (2022): 13295. http://dx.doi.org/10.3390/su142013295.

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A higher penetration of EVs may pose several challenges to the power systems, including reliability issues. To analyze the impact of EVs on the reliability of power systems, a detailed EV charging infrastructure is considered in this study. All possible charging locations (home, workplace, public locations, and commercial fast chargers) and different charging levels (level 1, level 2, and DC fast charging) are considered, and seven charging infrastructures are determined first. Then, the reliability impact of each charging infrastructure is determined using the two widely used reliability indices, i.e., the loss of load expectation (LOLE) and the loss of energy expectation (LOEE). The impact of mixed charging infrastructure portfolios is also analyzed by considering two different cases, which included the equal share of all charging infrastructure and charging infrastructure share based on consumer preferences. The performance is analyzed on a well-known reliability test system (Roy Billinton Test System) and different penetration levels of EVs are considered in each case. Test results have shown that fast-charging stations have the worst reliability impact. In addition, it was also observed that mixed charging portfolios have lower reliability impacts despite having a fair share of fast-charging stations.
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6

Clampitt, Colleen, and Syed Adeel Ahmed. "ELECTRIC VEHICLE SALES AND INFRASTRUCTURE ANALYSIS." Performance Improvement Journal 61, no. 1 (2022): 10–18. http://dx.doi.org/10.56811/pfi-21-0045.

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ELECTRIC VEHICLES (EV) are a popular choice for many people looking to reduce their carbon footprint, reduce their reliance on oil, avoid fueling stations, or who just want to own the next step in technology. There are questions, however, about how prepared the United States is for an EV owning populace. Before everyone can own an EV, there needs to be enough infrastructure to support the growing numbers of EVs. This paper will examine the current growth of EVs in Louisiana and use that information to determine if Louisiana has enough infrastructure in place to meet the growing demand.
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7

CALATAYUD MARTÍ, PILAR, JULIAN ROMERO CHAVARRO, MARIO MONTAGUD AGUAR, LUCIA ARCOS USERO, MARTA GARCÍA PELLICER, and ALFREDO QUIJANO LÓPEZ. "THREE-LEVEL METHODOLOGY FOR SECURE AND EFFICIENT GRID INTEGRATION OF ELECTRIC VEHICLE." DYNA 96, no. 3 (2021): 264–69. http://dx.doi.org/10.6036/10013.

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The secure integration of electric vehicle (EV) plays a key role in the energy transition through a resilient and decarbonised economy. However, a massive EV penetration means a rise in electricity demand with negative consequences to the distribution systems (voltage drops, branches congestion, etc) if the charging infrastructure is not cybersecure and does not perform smart charging mechanisms. Furthermore, these new infrastructures and their operating procedures provide new chances to cyberattacks to be performed, aimed at either exploiting those grid vulnerabilities or acquiring some user’s private information. Therefore, to ease the secure integration of EV charging infrastructures in the future network, this paper presents a three-level actuation methodology for charging infrastructures, which includes active management of EV supply equipment (EVSE) to allow dynamic control of charges, installation of ancillary protection systems, planning of EVSE’s location within the distribution system and cybersecure management of the whole infrastructure. The presented methodology is based on a thorough analysis of the possible cyberattacks that may occur during the transactions of the charging process, as well as tests carried out on a real pilot, which demonstrate the possible impacts that an uncontrolled charging of the EV can have on the distribution network, thus identifying the vulnerabilities of the distribution network. Keywords: Smart Grid, electrification, electric vehicle, charging station, Charge point operator, cybersecurity, smart charging.
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8

Kong, Qing, Michael Fowler, Evgueniy Entchev, Hajo Ribberink, and Robert McCallum. "The Role of Charging Infrastructure in Electric Vehicle Implementation within Smart Grids." Energies 11, no. 12 (2018): 3362. http://dx.doi.org/10.3390/en11123362.

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In the integration of electric vehicle (EV) fleets into the smart grid context, charging infrastructure serves as the interlinkage between EV fleets and the power grid and, as such, affects the impacts of EV operation on the smart grid. In this study, the impacts of charging infrastructure on the effectiveness of different EV operational modes were simulated using a multi-component modelling approach, which accounts for both stochastic EV fleet charging behaviors as well as optimal energy vector dispatch operation. Moreover, a campus microgrid case study was presented to demonstrate the various design factors and impacts of charging infrastructure implementation affecting EV fleet adoption and operation. Based on results from the study, it was shown that charging infrastructure should be adopted in excess of the minimum required to satisfy EV charging for driving needs. In addressing uncontrolled charging behaviors, additional charging infrastructure improves EV owner convenience and reduces queuing duration. Meanwhile, controlled charging strategies benefit from increased resilience against uncertain charging behavior and operate more optimally in systems subject to time-of-use (TOU) electricity pricing. Lastly, it was demonstrated that successful vehicle-to-grid (V2G) implementation requires charging infrastructure to emulate the availability and fast response characteristics of stationary energy storage systems, which translates to excess charging port availability, long EV plug-in durations, and bi-directional power flow capabilities well beyond the level 2 charging standard.
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9

Dharmakeerthi, C. H., and Mithulananthan Nadarajah. "Stability Cogitated Electric Vehicle Charging Infrastructure Planning." International Journal of Smart Grid and Sustainable Energy Technologies 1, no. 1 (2019): 10–14. http://dx.doi.org/10.36040/ijsgset.v1i1.180.

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Electrification of the transportation is taking place at an accelerated rate. Even though, electric vehicles (EV) evidently bring numerous environmental and economic benefits, their impact on power systems should not be overlooked. It has been identified that EV load characteristics can significantly affect power system voltage stability and small signal stability. Hence, it is important to consider mitigating of stability impacts right from the planning stage of bulk EV charging stations. However, unavailability of suitable stability evaluating indexes that could fit into planning algorithms is a hindrance. This study proposes two computationally efficient indexes to compare stability status in different planning options. The developed indexes have been tested, verified and utilized in a multi objective planning algorithm to identify a comprehensive solution, which satisfies the grid operator, EV customer and the charging facility investor optimally.
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10

Helmus, Jurjen, Mike Lees, and Robert van den Hoed. "Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems." World Electric Vehicle Journal 13, no. 3 (2022): 44. http://dx.doi.org/10.3390/wevj13030044.

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Since the first release of modern electric vehicles, researchers and policy makers have shown interest in the deployment and utilization of charging infrastructure. Despite the sheer volume of literature, limited attention has been paid to the characteristics and variance of charging behavior of EV users. In this research, we answer the question: which scientific approaches can help us to understand the dynamics of charging behavior in charging infrastructures, in order to provide recommendations regarding a more effective deployment and utilization of these infrastructures. To do so, we propose a conceptual model for charging infrastructure as a social supply–demand system and apply complex system properties. Using this conceptual model, we estimate the rate complexity, using three developed ratios that relate to the (1) necessity of sharing resources, (2) probabilities of queuing, and (3) cascading impact of transactions on others. Based on a qualitative assessment of these ratios, we propose that public charging infrastructure can be characterized as a complex system. Based on our findings, we provide four recommendations to policy makers for taking efforts to reduce complexity during deployment and measure interactions between EV users using systemic metrics. We further point researchers and policy makers to agent-based simulation models that capture interactions between EV users and the use complex network analysis to reveal weak spots in charging networks or compare the charging infrastructure layouts of across cities worldwide.
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