相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article
Energy & Fuels
Danny Garcia Sanchez et al.
Summary: This study proposes a mixed-integer linear programming model to solve the electric location routing problem with time windows. A clustering strategy is used to define potential sites for recharging stations and reduce computation time.
Article
Energy & Fuels
Antonia Golab et al.
Summary: This study proposes a charging infrastructure allocation model for fast-charging stations along high-level road networks, aiming to minimize costs for infrastructure investment. The modeling framework is applied to the Austrian highway and motorway network, showing that improvements in the charging power of BEVs have the potential to reduce future infrastructure costs.
Article
Energy & Fuels
Pokpong Prakobkaew et al.
Summary: This research proposes an approach to estimate the number of different types of electric vehicles for a vast area or an entire country, using vehicle registration data and GIS-based road infrastructure data. The results show that trucks contribute the most to energy consumption, while taxis rely on a significant number of public chargers. This study is important for assessing the number and energy consumption of electric vehicles, as well as determining the demand for public chargers.
Article
Energy & Fuels
Mostafa Mahdy et al.
Summary: This research presents a methodology for planning the optimal siting of charging infrastructure for electric vehicles (EVs) in cities. The methodology uses the Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) to assess various criteria and identify suitable locations. The study focuses on Winchester City and District in the UK but can be applied to other cities or regions. The methodology is accurate and generalisable.
Review
Chemistry, Multidisciplinary
Alberto Danese et al.
Summary: This article emphasizes the importance of considering the interests of all stakeholders and conducting effective planning processes when planning high-power charging infrastructure for electric vehicles. Detailed analysis and research are required in various aspects such as target identification, data acquisition, and modeling, allocation, and sizing methodologies.
APPLIED SCIENCES-BASEL
(2022)
Review
Energy & Fuels
Mohammad Shafiei et al.
Summary: This paper discusses the design and development of fast charging stations, along with the challenges and future directions of electric vehicle charging.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Di Xu et al.
Summary: This paper proposes an electric vehicle charging station site-selection model based on kernel density analysis of urban population, and designs an immune algorithm to optimize the solution. The effectiveness of the model is validated through a simulation example in Jinan City, and a comparison with traditional models is conducted.
Article
Multidisciplinary Sciences
Gururaghav Raman et al.
Summary: A study on the Greater London electric vehicle charging network reveals disproportionate impacts of flooding on the already-stressed parts of the network, even up to 10 km away from the flood regions. This highlights the vulnerability of the charging infrastructure. Additionally, the study proposes four strategies to enhance the flood resilience of cities' public EV charging networks.
NATURE COMMUNICATIONS
(2022)
Article
Energy & Fuels
Kushal Koirala et al.
Summary: This study uses fuzzy Multiple Criteria Decision Making (MCDM) and COPRAS methods to determine the optimal location for Battery Swapping Stations (BSS). The results suggest that cost-related criteria dominate the selection process, and the Kolkata Municipal Corporation area and the western part of North 24 Parganas are suitable for establishing BSS.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Energy & Fuels
S. Hemavathi et al.
Summary: The involvement of electric vehicles (EVs) is increasing over the past few years due to several factors including the increasing emission of carbon dioxide (CO2), depletion of fossil fuels, and promotion of renewable deployment. The growth of charging stations is essential to support the transition of conventional vehicles to electric vehicles. This research paper reviews the current and future trends in EV battery charging methodologies and the roadmap for EV adoption in India.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Rohan Verma et al.
Summary: This paper focuses on optimizing the capacities and locations of charging stations by developing a mathematical model and testing it in the MATLAB/Simulink environment. It addresses the issues of locating and sizing in the building of electric vehicle charging stations.
Article
Oluwasola O. Ademulegun et al.
Electricity Journal
(2021)
Article
Energy & Fuels
Marcin Wolek et al.
Summary: This paper explores the importance of electromobility in public transport and the utility of multi-criteria analysis in selecting electric bus routes. By considering diverse factors such as economic, social, technological, and environmental aspects when choosing electric bus routes, the advantages of electric vehicles can be maximized.
Article
Energy & Fuels
Byungki Kim et al.
Summary: The introduction of a complex electrical vehicle charging infrastructure, including EV chargers and renewable energy sources, is essential for addressing global environmental issues. However, challenges such as hosting capacity and power stability of the distribution feeder may arise with larger scaled renewable energy sources and EVC infrastructure. To address these issues, a technology is needed to stably introduce EVC infrastructure without the need to reinforce the existing distribution system. The proposed virtual power line (VPL) operation method using Energy Storage System (ESS) based on power and voltage stabilization control effectively ensures hosting capacity of the EVS infrastructure.
Article
Energy & Fuels
Furkan Ahmad et al.
Summary: This study proposes a comprehensive framework to optimally place solar-powered charging stations in a distribution network, aiming to improve voltage profile, minimize power loss, and reduce cost. The methodology involves a stochastic approach to predict EV load demand and a Feed-forward neural network to evaluate solar power from PV plants. The impact of EV load demand on the distribution network is explored, and an improved chicken swarm optimization method is used to optimize charging station placement in the IEEE 33 bus system, proving its dominance over other algorithms.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Jiwon Lee et al.
Summary: This paper proposes a method for selecting optimal electric vehicle charging station locations based on data from Seoul, with workforce population identified as the most important feature. The analysis suggests that it is reasonable to install quick electric vehicle charging stations in places with the highest concentration of workforce population and guest facilities.
Article
Energy & Fuels
Leonidas Anthopoulos et al.
Summary: This study introduces a multi-criteria decision-making (MCDM) framework for EV charging infrastructure deployment and operation, which respects both the economic and the technical aspects for public charging stations. The results show that the installation and operation of public EV charging stations, located in private spaces to ensure their protection against vandalism, within the urban areas is the preferred deployment approach. The market model for the EV charging infrastructure ownership and operation in Greece is driven by the direct investments of limited vendors, focusing on sustainability and environmental protection, rather than being economically oriented.
Article
Energy & Fuels
Emilia M. Szumska et al.
Summary: This study investigates the impact of various parameters on a battery's depth of discharge in electric vehicles through simulation. The results suggest that driving route has the most significant effect on energy consumption. Operating conditions play a crucial role in determining the energy life and ultimately the range of an electric vehicle.
Article
Energy & Fuels
Miguel Campana et al.
Summary: Achieving high penetration of electric vehicles is crucial for mitigating negative environmental impacts. To optimize charging infrastructure, modeling and predicting the number of EVs each station must serve in each hour based on geographic area is essential. By analyzing vehicular traffic and road topology, the design of each charging station can be improved to efficiently serve the growing demand for EV charging.
Article
Energy & Fuels
Arnab Pal et al.
Summary: This paper proposes a sustainable solution for the allocation of Public Fast-Charging Stations (PFCS), Solar Distributed Generations (SDGs), and Battery Energy Storages (BES) that considers traffic and energy consumption. Two-stage optimization is used to address the location, size, and scheduling of PFCS, SDG, and BES, as well as the assignment of electric vehicles (EVs) to the appropriate PFCS to minimize energy consumption. The allocation problem is solved using Harris Hawks Optimization (HHO) and Grey Wolf Optimizer (GWO), with the EV assignment problem being tackled by Integer Linear Programming (ILP). The approach also deals with uncertainties associated with EVs, traffic flow, and SDG using the 2m Point Estimation Method (2m PEM).
JOURNAL OF ENERGY STORAGE
(2021)
Article
Construction & Building Technology
Ruotong Wang et al.
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Engineering, Civil
Ali Akbar Jamali et al.
WATER RESOURCES MANAGEMENT
(2020)
Article
Energy & Fuels
Oluwasola O. Ademulegun et al.
Article
Green & Sustainable Science & Technology
Antonio Nestico et al.
Article
Thermodynamics
Mehmet Erbas et al.
Article
Engineering, Civil
Alireza Valipour et al.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2017)
Article
Energy & Fuels
Hassan Z. Al Garni et al.
Proceedings Paper
Transportation
Balint Csonka et al.
20TH EURO WORKING GROUP ON TRANSPORTATION MEETING, EWGT 2017
(2017)
Article
Energy & Fuels
Sen Guo et al.
Article
Oceanography
Abdolvahhab Fetanat et al.
OCEAN & COASTAL MANAGEMENT
(2015)