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Journal articles on the topic 'Charging infrastructure'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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 indi

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Wang, Zixuan, Qingyuan Yang, Chuwen Wang, and Lanxi Wang. "Spatial Layout Analysis and Evaluation of Electric Vehicle Charging Infrastructure in Chongqing." Land 12, no. 4 (2023): 868. http://dx.doi.org/10.3390/land12040868.

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This study considers the spatial analysis and evaluation layout of electric vehicle charging infrastructures, taking the central urban area of Chongqing as an example. Mathematical model analysis, ArcGIS spatial analysis, field investigation, questionnaire measurement, and hierarchical analysis methods are utilized to discuss the current distribution characteristics and supply–demand matching of the electric vehicle charging infrastructure in this region. The resulting data can provide references for the optimal layout of charging infrastructure. The main conclusions of this study are as follo

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Altaleb, Haya, and Zoltán Rajnai. "Electric Vehicle Charging Infrastructure and Charging Technologies." Haditechnika 54, no. 4 (2020): 8–12. http://dx.doi.org/10.23713/ht.54.4.03.

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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 propo

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Wolbertus, R., R. van den Hoed, and S. Maase. "Benchmarking Charging Infrastructure Utilization." World Electric Vehicle Journal 8, no. 4 (2016): 754–71. http://dx.doi.org/10.3390/wevj8040754.

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Wang, Kun, and Yongjian Ke. "Public-Private Partnerships in the Electric Vehicle Charging Infrastructure in China: An Illustrative Case Study." Advances in Civil Engineering 2018 (July 8, 2018): 1–10. http://dx.doi.org/10.1155/2018/9061647.

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Effective supply of charging infrastructure is a necessary support for the development of electric vehicle and also an important strategic measure to promote energy consumption revolution and green development. The construction and operation of charging infrastructure in China is unfortunately not smooth, lagging behind the actual demand. Public-Private Partnerships (PPPs) may offer a promising way forward and accelerate the development of charging infrastructure by tapping the private sectors’ financial resources and professional skills. However, PPP has not been commonly adopted in this sect

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Kakkar, Riya, Rajesh Gupta, Smita Agrawal, et al. "A Review on Standardizing Electric Vehicles Community Charging Service Operator Infrastructure." Applied Sciences 12, no. 23 (2022): 12096. http://dx.doi.org/10.3390/app122312096.

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The deployment of charging infrastructure is one of the main challenges that need to be tackled due to the increasing demand for electric vehicles (EVs). Moreover, EVs associated with different charging standards can face compatibility issues while charging via public or private infrastructure. Many solutions were surveyed by researchers on EVs, but they were not focused on addressing the issue of charging infrastructure standardization. Motivated by this, we present a comprehensive survey on standardizing EV charging infrastructure. We also present a taxonomy on various aspects such as chargi

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James, Jisha, and Vijaya Margaret. "A Comprehensive Study on Electric Vehicle Charging Infrastructure." ECS Transactions 107, no. 1 (2022): 5977–88. http://dx.doi.org/10.1149/10701.5977ecst.

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Issues of global warming and hike in the fuel price have taken electric vehicles (EVs) to be popular among the ordinary people. But the main drawbacks are related to the vehicle price and the scarcity of charging infrastructure. In this paper, a review of various charging infrastructures of electric vehicles that are existing and emerging are discussed. The paper also gives an overview of the charging standards for EVs.

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Chaudhary, Dr Sunil Kumar, Prem Shankar Pachauri, Ani seth, Dheeraj Kumar Yadav, Shubham Singh, and Atul Singh. "Electrical Vehicle to Vehicle Charging Without Charging Station." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2337–41. http://dx.doi.org/10.22214/ijraset.2022.41114.

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Abstract: Electrical vehicles will be the next biggest revolution in vehicle industries. The present infrastructure, which is currently in use has lot of drawbacks and shortcomings which needed to be overcome. The biggest problem is lack of charging infrastructure for electrical vehicle and so electrical vehicle users always have this charging anxiety in their mind while picking up electrical vehicle for some purpose, so this paper will provide an incredible solution to this problem by implementing a V2V charging infrastructure without bringing a charging station in to the picture. This V2V ch

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Suomalainen, Emilia, and François Colet. "A Corridor-Based Approach to Estimating the Costs of Electric Vehicle Charging Infrastructure on Highways." World Electric Vehicle Journal 10, no. 4 (2019): 68. http://dx.doi.org/10.3390/wevj10040068.

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One of the barriers holding back the large-scale development of electric vehicles is underdeveloped charging infrastructure. The optimal location of charging stations has received much attention, whereas the development of charging infrastructure over time and its economic implications remain a less explored topic, especially in the context of dynamic inductive charging. This work compares the infrastructure costs for two electric vehicle charging solutions deployed on highways: fast-charging stations and a dynamic charging lane based on wireless inductive charging technology. The deployment c

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Szumska, Emilia M. "Electric Vehicle Charging Infrastructure along Highways in the EU." Energies 16, no. 2 (2023): 895. http://dx.doi.org/10.3390/en16020895.

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One aspect of the competitiveness of electric and plug-in hybrid vehicles is the ability to recharge batteries quickly. Ideally, this process would take no longer than it takes to refuel vehicles powered by conventional fuels. The term fast charging is generally used to refer to alternating current (AC) charging of more than 22 kW and direct current (DC) charging often referred to as fast or ultra-fast charging at high power. Currently, fast charging points are located within the public charging infrastructure, mainly along highways. The purpose of this paper was to analyze the availability of

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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’

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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

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Maase, Simone, Xiomara Dilrosun, Martijn Kooi, and Robert van den Hoed. "Performance of Electric Vehicle Charging Infrastructure: Development of an Assessment Platform Based on Charging Data." World Electric Vehicle Journal 9, no. 2 (2018): 25. http://dx.doi.org/10.3390/wevj9020025.

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Developers of charging infrastructure, be it public or private parties, are highly dependent on accurate utilization data in order to make informed decisions where and when to expand charging points. The Amsterdam University of Applied Sciences, in close cooperation with the municipalities of Amsterdam, Rotterdam, The Hague, Utrecht, and the Metropolitan Region of Amsterdam Electric, developed both the back- and front-end of a charging infrastructure assessment platform that processes and represents real-life charging data. Charging infrastructure planning and design methods described in the l

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MARUTA, Osamu. "Charging Infrastructure for Electric Vehicles." Journal of The Institute of Electrical Engineers of Japan 130, no. 12 (2010): 824–27. http://dx.doi.org/10.1541/ieejjournal.130.824.

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16

Deb, Sanchari. "Machine Learning for Solving Charging Infrastructure Planning Problems: A Comprehensive Review." Energies 14, no. 23 (2021): 7833. http://dx.doi.org/10.3390/en14237833.

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As a result of environmental pollution and the ever-growing demand for energy, there has been a shift from conventional vehicles towards electric vehicles (EVs). Public acceptance of EVs and their large-scale deployment raises requires a fully operational charging infrastructure. Charging infrastructure planning is an intricate process involving various activities, such as charging station placement, charging demand prediction, and charging scheduling. This planning process involves interactions between power distribution and the road network. The advent of machine learning has made data-drive

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Liu, Jiaqi, Chuanneng Zhang, Xing Tang, Jiaqi Yang, and Haobo Guo. "Layout and optimization of EV charging infrastructure based on service scope constraints: A case study of Tianjin." E3S Web of Conferences 372 (2023): 01017. http://dx.doi.org/10.1051/e3sconf/202337201017.

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The development of electric vehicles (EV) is constrained by factors such as the spatial distribution and planning volume of charging infrastructure. In order to determine the planning volume of charging piles in charging stations and the spatial layout of charging infrastructure service area within the service radius of Tianjin, this paper firstly determines the service area demand based on the service radius, combined with the demand prediction function and the EV ownership, and secondly forms the charging infrastructure service area with the central place theory large spatial layout, and fin

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Ding, Jianzi. "Economic Implications of Charging Infrastructure Deployment for Electric Vehicles in China: An Empirical Analysis." Advances in Economics, Management and Political Sciences 50, no. 1 (2023): 268–75. http://dx.doi.org/10.54254/2754-1169/50/20230594.

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Based on the empirical analysis of the economic implications of charging infrastructure deployment for electric vehicles in China, this study highlights the crucial role of charging infrastructure in promoting the growth of the electric vehicle (EV) market. By controlling for key factors such as car sales and fuel prices, the regression analysis results demonstrate that the deployment of charging infrastructure, represented by the number of charging piles, is positively related to EV sales in China. However, the study also reveals that the coverage area and charging speed of charging piles rem

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Medved, Dusan, Lubomir Bena, Maksym Oliinyk, Jaroslav Dzmura, Damian Mazur, and David Martinko. "Assessing the Effects of Smart Parking Infrastructure on the Electrical Power System." Energies 16, no. 14 (2023): 5343. http://dx.doi.org/10.3390/en16145343.

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The forthcoming surge in electric vehicle (EV) adoption demands the comprehensive advancement of associated charging infrastructure. In this study, an exploration of EV charging’s impact on the power distribution system is conducted via the simulation of a parking lot equipped with six distinct types of EVs, each showcasing unique charging curves, charging power, and battery capacities. A charging profile is synthesized and compared with laboratory-obtained data to ascertain the implications on the grid. To further understand the effects of smart parking on the power distribution system, a mat

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Roy, Debarshi. "EV Point (Electric Vehicle Charging Infrastructure Project)." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48015.

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Abstract: Increasing numbers of individuals are adopting electric vehicles (EVs) due to climate change and environmental concerns. This has generated a high demand for efficient, easy-to-use, and smart charging stations. This project, Electric Vehicle Charging Station Point, provides a web application that helps users in finding nearby EV charging stations and repair stations quickly and accurately. Having electric car charging station infrastructure, or electric vehicle points (EVPs), is necessary for more individuals to adopt electric vehicles. Designing and maintaining electric vehicle poin

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21

Golab, Antonia, Sebastian Zwickl-Bernhard, and Hans Auer. "Minimum-Cost Fast-Charging Infrastructure Planning for Electric Vehicles along the Austrian High-Level Road Network." Energies 15, no. 6 (2022): 2147. http://dx.doi.org/10.3390/en15062147.

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Given the ongoing transformation of the transport sector toward electrification, expansion of the current charging infrastructure is essential to meet future charging demands. The lack of fast-charging infrastructure along highways and motorways is a particular obstacle for long-distance travel with battery electric vehicles (BEVs). In this context, we propose a charging infrastructure allocation model that allocates and sizes fast-charging stations along high-level road networks while minimizing the costs for infrastructure investment. The modeling framework is applied to the Austrian highway

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22

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 variou

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Husarek, Dominik, Vjekoslav Salapic, Simon Paulus, Michael Metzger, and Stefan Niessen. "Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration." Energies 14, no. 23 (2021): 7992. http://dx.doi.org/10.3390/en14237992.

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Since e-Mobility is on the rise worldwide, large charging infrastructure networks are required to satisfy the upcoming charging demand. Planning these networks not only involves different objectives from grid operators, drivers and Charging Station (CS) operators alike but it also underlies spatial and temporal uncertainties of the upcoming charging demand. Here, we aim at showing these uncertainties and assess different levers to enable the integration of e-Mobility. Therefore, we introduce an Agent-based model assessing regional charging demand and infrastructure networks with the interactio

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Ali, Shawki, Patrick Wintzek, and Markus Zdrallek. "Development of Demand Factors for Electric Car Charging Points for Varying Charging Powers and Area Types." Electricity 3, no. 3 (2022): 410–41. http://dx.doi.org/10.3390/electricity3030022.

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With the increasing number of electric vehicles, the required charging infrastructure is increasing rapidly. The lack of historical data for the charging infrastructure compromises a challenge for distribution system operators to forecast the corresponding increase in the load demand. This challenge is characterised by two main uncertainties, namely, the charging power of the charging infrastructure and its location. Expectedly, the charging infrastructure is going to include varying charging powers and is going to be installed country-wide in different area types. Hence, this contribution set

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Sutikno, Tole. "An overview of the future smart charging infrastructure for electric vehicles." International Journal of Applied Power Engineering (IJAPE) 13, no. 3 (2024): 687. http://dx.doi.org/10.11591/ijape.v13.i3.pp687-694.

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<p>Smart charging is a technology that allows electric vehicles (EVs) to communicate with charging devices. This paper presents an overview of smart EV charging. Smart charging is a future solution for businesses, allowing them to remotely monitor EV charging events, manage charging stations, and concentrate on their core operations. It also simplifies payments, regulates electricity consumption, and makes charging stations easy to manage. Smart charging solutions assist utility companies in developing their own EV charging networks by stabilizing the grid, adapting to changing demands,

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Sutikno, Tole. "An overview of the future smart charging infrastructure for electric vehicles." International Journal of Applied Power Engineering 13, no. 3 (2024): 687–94. https://doi.org/10.11591/ijape.v13.i3.pp687-694.

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Smart charging is a technology that allows electric vehicles (EVs) to communicate with charging devices. This paper presents an overview of smart EV charging. Smart charging is a future solution for businesses, allowing them to remotely monitor EV charging events, manage charging stations, and concentrate on their core operations. It also simplifies payments, regulates electricity consumption, and makes charging stations easy to manage. Smart charging solutions assist utility companies in developing their own EV charging networks by stabilizing the grid, adapting to changing demands, and easil

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S. Kambale and Y. Bhowte. "A study of charging station infrastructure of electric vehicles with respect to the Pune market." Prayukti – Journal of Management Applications 02, no. 01 (2022): 58–61. http://dx.doi.org/10.52814/pjma.2022.2108.

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This paper is for the revolution and the need for electric vehicles (EV) and its challenges for the charging infrastructure for Pune electric automobile industry. The current growth of EVs is slow due to the issues such as slow charging time, accessibility, lack of charging infrastructure. Identifying the characteristics and demand of fast charging EV load of Pune. Within a radius of 3 km charging station is required in the Pune. Government policies and the Pune municipal corporation initiative towards the charging infrastructure for the smart Pune city. Interaction of electric vehicle and cha

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Wiratmoko, A., H. Apriyanto, T. D. Tamtomo, et al. "Policy analysis of electric vehicle infrastructure supporting sustainable energy use." IOP Conference Series: Earth and Environmental Science 1267, no. 1 (2023): 012036. http://dx.doi.org/10.1088/1755-1315/1267/1/012036.

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Abstract The Presidential Regulation of the Republic of Indonesia 55 of 2019 concerning the Acceleration of the Battery-Based Electric Vehicle (EV) Program for transportation aims to provide direction, foundation, and legal certainty in the implementation of the acceleration of the battery-based electric motor vehicle program in Indonesia, one of which is the strategy of providing electric charging infrastructure. This policy had not fully significant impact on the provision of electric vehicle charging infrastructure, wherein 2021, the provision of EV charging facilities has reached approxima

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Zhang, Jun, Xiaojin Peng, Wang Lv, Rujie Yu, and Ziqi Xu. "Monte Carlo-based Charging Demand Forecasting Model and Market Space Study." International Journal of Energy 3, no. 3 (2023): 40–46. http://dx.doi.org/10.54097/ije.v3i3.010.

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With the rapid development of China's new energy vehicle industry, charging infrastructure has gradually become a key factor affecting the further development of the new energy vehicle industry. Scientific and reasonable forecasts of the future development scale of the domestic charging infrastructure market have become an important element supporting the business planning of various related parties such as vehicle enterprises, charging pile enterprises, and the energy industry. Based on the distribution data of electric vehicle traveling and charging characteristics obtained from the industry

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Fischer, Markus, Wibke Michalk, Cornelius Hardt, and Klaus Bogenberger. "Bill It Right: Evaluating Public Charging Station Usage Behavior under the Presence of Different Pricing Policies." World Electric Vehicle Journal 15, no. 4 (2024): 175. http://dx.doi.org/10.3390/wevj15040175.

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This study investigates for the first time how public charging infrastructure usage differs under the presence of diverse pricing models. About 3 million charging events from different European countries were classified according to five different pricing models (cost-free, flat-rate, time-based, energy-based, and mixed) and evaluated using various performance indicators such as connection duration; transferred energy volumes; average power; achievable revenue; and the share of charging and idle time for AC, DC, and HPC charging infrastructure. The study results show that the performance indic

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Arpit Darbari. "Shaping the future: Improvements in the EV charging Infrastructure: A comparative analysis of Germany and India." World Journal of Advanced Engineering Technology and Sciences 12, no. 1 (2024): 463–76. http://dx.doi.org/10.30574/wjaets.2024.12.1.0259.

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The shift towards sustainable transportation has accelerated the deployment of electric vehicles (EVs), demanding advancements in EV charging infrastructure. [1] This thesis, "Shaping the Future: Improvements in EV Charging Infrastructure," explores the critical role of enhancing charging networks to boost EV adoption and usage. It delves into the status, challenges, technological innovations, regulatory frameworks, and evaluates the collective impact on future mobility. In-depth investigations reveal the challenges facing the existing EV charging infrastructure, such as grid capacity limitati

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Csonka, Bálint. "Optimization of Static and Dynamic Charging Infrastructure for Electric Buses." Energies 14, no. 12 (2021): 3516. http://dx.doi.org/10.3390/en14123516.

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The adoption of electric buses in public transport requires careful planning for the bus fleet and charging infrastructure. A mathematical model of an urban bus service was developed to support the deployment of charging infrastructure. The novelty of the model is that it incorporates infrastructure elements for both static and dynamic charging technologies at the same time. The model supports the electrification of the bus lines without route and schedule adjustments. The volume of charged energy at charging units is considered as a variable in the objective function to determine the location

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Ko, Young Dae, and Yonghui Oh. "Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy." Sustainability 12, no. 7 (2020): 2920. http://dx.doi.org/10.3390/su12072920.

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As an alternative to the environmental pollution problem of transportation means, the application of electric tram is considered in urban areas. However, due to the aesthetic problems occurs by the electric supply line for an electric tram, the wireless charging electric tram may be regarded as an alternative. It can be supplied electricity wirelessly from the wireless charging infrastructure installed on the railways even while moving. For a successful application, it is important to install and operate the overall systems with minimum investment cost. In this study, a mathematical model-base

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Taware, Yogesh, Nitesh Kale, Neha Jadhav, Uttam Chauhan, and Prof R. M. Shau. "EV Charging Station with Coin Based Payment System with Solar Power." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 2899–903. http://dx.doi.org/10.22214/ijraset.2022.42980.

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Abstract: The transportation sector of the world is in the transformation stage, shifting from conventional fossil fuel-powered vehicles to zero or ultra-low tailpipe emission vehicles. To support this transformation, a proper charging station (CS) infrastructure in combination with information technology, smart distributed energy generating units, and favorable government policies are required. The motive of this Project is to address the key aspects to be taken care of while planning for the charging station infrastructure for electric vehicles. The Project also provides major indignation an

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Yardım, Mustafa Feyzi, Serhat Yüksel, and Hasan Dinçer. "Development of Optimal Investment Strategies for Electric Vehicle Charging Stations with a Novel Decision-Making Technique." Journal of Operations Intelligence 3, no. 1 (2025): 67–73. https://doi.org/10.31181/jopi31202534.

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Electric vehicles (EV) have become widespread especially in recent years. However, the infrastructure required for charging these vehicles is inadequate and the necessary investment strategies need to be determined for the effective establishment of this infrastructure. Electric vehicle charging stations are a fundamental component of sustainable transportation systems. However, in parallel with the increasing EV demand, determining appropriate investment strategies to support the installation of these stations is a critical need. This study aims to reveal optimal investment strategies for the

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MS., SHIKHA KUCHHAL, IKBAL ALI PROF., and IBRAHEEM PROF. "GAME THEORY FOR SECURE AND EFFICIENT EV CHARGING INFRASTRUCTURE." International Educational Scientific Research Journal 10, no. 10 (2025): 64–67. https://doi.org/10.5281/zenodo.14674912.

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The rapid growth of electric vehicles (EVs) necessitates the development of robust and efficient charging infrastructure. However, the increasing reliance on communication technologies within this infrastructure introduces significant security and privacy vulnerabilities. This paper proposes a novel framework that employs game theory to enhance the security and efficiency of EV charging systems. We investigate the application of game-theoretic concepts, such as Nash equilibrium and Stackelberg games, to model and optimize charging strategies, resource allocation, and security mechanisms. By fo

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Huang, Yan, Rui Jiang, Jincai Pei, et al. "Analyzing EV Charging Patterns: Towards Efficient Infrastructure Deployment." Advances in Engineering Technology Research 11, no. 1 (2024): 158. http://dx.doi.org/10.56028/aetr.11.1.158.2024.

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This paper analyzes real-world EV charging data, covering station distribution, volume, duration probability, and utilization efficiency. Future infrastructure developments and improvement recommendations are discussed. Based on diverse station data, including probability distributions and regression analysis, findings reveal disparities in infrastructure availability and charging patterns. Strategic planning and investment are emphasized to meet growing EV charging demands, along with exploring opportunities in renewable energy integration and smart charging technologies. Overall, this study

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Chhabra, Soosan, and V. Sreevani. "Computer Vision Applications in Intelligent Electric Vehicle Charging Infrastructure." MATEC Web of Conferences 392 (2024): 01185. http://dx.doi.org/10.1051/matecconf/202439201185.

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The study examines the use of computer vision technologies into intelligent electric vehicle (EV) charging infrastructure. The objective is to increase station capabilities, maximize resource usage, and enhance user experiences. An examination of the data from charging stations indicates that there are differences in their capacities and capabilities. Certain stations can handle a greater number of cars at the same time because they have higher power outputs and numerous charging connections. The vehicle identification data illustrates the efficacy of computer vision in precisely recognizing v

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Yu, Jing-Lei, Qin Jia, and Hua-Qing Hu. "Charging infrastructure construction from the perspective of new infrastructure." Energy Reports 7 (April 2021): 224–29. http://dx.doi.org/10.1016/j.egyr.2021.01.076.

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Crozet, Yves. "European railway infrastructure: towards a convergence of infrastructure charging?" International Journal of Transport Management 2, no. 1 (2004): 5–15. http://dx.doi.org/10.1016/j.ijtm.2004.05.003.

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Ayoade, Idowu Adetona, and Omowunmi Mary Longe. "A Comprehensive Review on Smart Electromobility Charging Infrastructure." World Electric Vehicle Journal 15, no. 7 (2024): 286. http://dx.doi.org/10.3390/wevj15070286.

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This study thoroughly analyses Smart Electromobility Charging Infrastructure (SECI), exploring its multifaceted dimensions and advancements. Delving into the intricate landscape of SECI, the study critically evaluates existing technologies, integration methodologies, and emerging trends. Through a systematic examination of literature and empirical studies, the article elucidates the evolving ecosystem of smart charging solutions, considering aspects including advancements in charging protocols. Additionally, the review highlights challenges and prospects in the SECI domain, providing insightfu

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Waseem, Mohammad, Eniganti Sreeshobha, Kotha Shashidhar Reddy, and Teresa Donateo. "State-of-the-Art and Advancement of Charging Infrastructure in Electric Mobility: An Integrated Review." Energies 17, no. 23 (2024): 6137. https://doi.org/10.3390/en17236137.

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Electric mobility is attracting significant attention in the current era due to its environmental benefits, sustainable transportation options, and the absence of carbon emissions. However, challenges such as the high price of batteries, inefficient charging techniques, and compatibility linking the charging station with electric vehicles (EVs) must be addressed. This article reviews advancements and identifies challenges in charging infrastructure for electric mobility. This study incorporates and analyzes an integrated review of approximately 223 research articles. Current research trends an

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Kohlrautz, David, and Tobias Kuhnimhof. "E-Bike Charging Infrastructure in the Workplace—Should Employers Provide It?" Sustainability 15, no. 13 (2023): 10540. http://dx.doi.org/10.3390/su151310540.

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Constructing charging infrastructure for e-bikes at home or in other locations is necessary to enable motor support while riding. This paper focuses on charging facilities at work and study locations. It analyzes the charging frequency preference of 281 e-bike commuters who work or study at RWTH Aachen University, using survey data with 1091 choices for hypothetical free charging, as well as the same conditions for hypothetical paid charging. We use a mixed logit model to estimate the factors influencing the charging frequency, focusing on the commuting distance, an e-bike’s resale value, the

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Singh, Praveen Prakash, Fushuan Wen, Ivo Palu, Sulabh Sachan, and Sanchari Deb. "Electric Vehicles Charging Infrastructure Demand and Deployment: Challenges and Solutions." Energies 16, no. 1 (2022): 7. http://dx.doi.org/10.3390/en16010007.

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Present trends indicate that electrical vehicles (EVs) are favourable technology for road network transportation. The lack of easily accessible charging stations will be a negative growth driver for EV adoption. Consequently, the charging station placement and scheduling of charging activity have gained momentum among researchers all over the world. Different planning and scheduling models have been proposed in the literature. Each model is unique and has both advantages and disadvantages. Moreover, the performance of the models also varies and is location specific. A model suitable for a deve

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Subiramoniyan, Dr S. "Reconfigurable Converter Topologies for EV Fast Charging Stations." International Journal of Electrical and Electronics Research 11, no. 4 (2023): 1147–53. http://dx.doi.org/10.37391/ijeer-110435.

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Infrastructure for charging electric vehicles (EVs) is highly demanded due to the rising number of EVs on the road. Stations for charging electric vehicles are necessary for the ongoing transportation e-mobility. In particular, fast charging infrastructures increase the computing ability of transmission grids that are already under a lot of pressure. The market's current energizing foundation takes a ton of room and incidentally causes gridlocks, which raises the risk of mishaps and hinders crisis vehicles. The cost of installing this charging infrastructure increases significantly because the

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Wang, Junbo. "Challenges and countermeasures in planning, building, and managing electric vehicle charging piles." Applied and Computational Engineering 42, no. 1 (2024): 20–26. http://dx.doi.org/10.54254/2755-2721/42/20230677.

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The widespread adoption of new energy vehicles, particularly electric vehicles (EVs), has created a significant demand for charging infrastructure globally. China, a key player in the EV market, has made substantial advancements in charging pile technology and infrastructure development. However, several critical challenges threaten the sustainability and efficiency of the EV charging ecosystem. This paper identifies and analyzes these challenges, including insufficient planning and construction of charging piles, increased demand for electric energy affecting power grids, high construction co

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Visaria, Anant Atul, Anders Fjendbo Jensen, Mikkel Thorhauge, and Stefan Eriksen Mabit. "User preferences for EV charging, pricing schemes, and charging infrastructure." Transportation Research Part A: Policy and Practice 165 (November 2022): 120–43. http://dx.doi.org/10.1016/j.tra.2022.08.013.

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Lee, Jae Hyun, Debapriya Chakraborty, Scott J. Hardman, and Gil Tal. "Exploring electric vehicle charging patterns: Mixed usage of charging infrastructure." Transportation Research Part D: Transport and Environment 79 (February 2020): 102249. http://dx.doi.org/10.1016/j.trd.2020.102249.

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Davidov, Sreten. "Optimal charging infrastructure planning based on a charging convenience buffer." Energy 192 (February 2020): 116655. http://dx.doi.org/10.1016/j.energy.2019.116655.

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Lucas, Alexandre, Giuseppe Prettico, Marco Flammini, Evangelos Kotsakis, Gianluca Fulli, and Marcelo Masera. "Indicator-Based Methodology for Assessing EV Charging Infrastructure Using Exploratory Data Analysis." Energies 11, no. 7 (2018): 1869. http://dx.doi.org/10.3390/en11071869.

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Electric vehicle (EV) charging infrastructure rollout is well under way in several power systems, namely North America, Japan, Europe, and China. In order to support EV charging infrastructures design and operation, little attempt has been made to develop indicator-based methods characterising such networks across different regions. This study defines an assessment methodology, composed by eight indicators, allowing a comparison among EV public charging infrastructures. The proposed indicators capture the following: energy demand from EVs, energy use intensity, charger’s intensity distribution

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