☆ 4.7 Article

Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

ENERGY (2023)

Related references

Note: Only part of the references are listed.

Article Energy & Fuels

Charging demand prediction in Beijing based on real-world electric vehicle data

Jin Zhang et al.

Summary: This paper utilizes three-month real-world travel and charging records of 25,489 electric passenger vehicles in Beijing to quantitatively study the travel patterns and charging behaviors of electric vehicles and support charging demand prediction. A multi-level and multi-dimensional framework is proposed to extract electric vehicle behavior characteristic parameters and a clustering model is used to classify the users. A trip-chain-simulation-based charging demand prediction model is established to accurately predict real-world charging demands. The results provide a foundation for charging infrastructure planning and the impact of charging behaviors on grid load.

JOURNAL OF ENERGY STORAGE (2023)

Add to Collection

Article Energy & Fuels

Emission mitigation potential from coordinated charging schemes for future private electric vehicles

Jiahui Chen et al.

Summary: This study demonstrates the importance of coordinating EV charging with renewable energy sources to achieve significant reductions in GHG emissions and charging costs. Strategies such as maximizing renewable power consumption and minimizing charging costs can have substantial climate benefits. On the other hand, conventional charging strategies may increase GHG emissions.

APPLIED ENERGY (2022)

Add to Collection

Article Energy & Fuels

Optimal pool composition of commercial electric vehicles in V2G fleet operation of various electricity markets

Benedikt Tepe et al.

Summary: The market growth of electric mobility has increased the attention on vehicle-to-grid (V2G) issues in research and industry. Electric vehicles (EVs) have the potential to support renewable energy by acting as storage units during idle times. Aggregators can smartly compose their pools of EVs and increase their revenues by selecting vehicles that contribute to the pool's performance, rather than having a random composition.

APPLIED ENERGY (2022)

Add to Collection

Review Green & Sustainable Science & Technology

The state of play in electric vehicle charging services - A review of infrastructure provision, players, and policies

Sarah LaMonaca et al.

Summary: This paper reviews the current state and future development of the EV charging infrastructure market, emphasizing the importance of charging infrastructure for large-scale EV deployment, discussing the roles of different actors in this market, and addressing the deployment models and policy framework for future charging facilities.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Centralized and Decentralized Pricing Strategies for Optimal Scheduling of Electric Vehicles

Aastha Kapoor et al.

Summary: This paper proposes three novel pricing schemes for the day-ahead optimal scheduling of Electric Vehicles (EVs) based on the centralized and decentralized architectures. These schemes effectively address the issues of load valley-filling and rebound peak occurrence while fulfilling the objectives of multiple players.

IEEE TRANSACTIONS ON SMART GRID (2022)

Add to Collection

Article Economics

Research on the valley-filling pricing for EV charging considering renewable power generation

Shao-Chao Ma et al.

Summary: This article focuses on the challenges faced by electricity grids in real-time dispatch and the impact of charging time-of-use pricing on the cost and load of the power system. It provides policy recommendations based on Chinese consumers' willingness to pay for charging at different times and demonstrates the effectiveness of the charging time-of-use price mechanism through simulation results.

ENERGY ECONOMICS (2022)

Add to Collection

Article Energy & Fuels

Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries

Andrea Mangipinto et al.

Summary: The integration of electric vehicles into the power system is important for the European energy transition. Differences in mobility and charging patterns exist across European countries due to weather and socio-economic factors. Uncontrolled deployment of electric vehicles would significantly increase peak demand, but smart charging strategies can limit this increase. Technological and infrastructure developments do not provide substantial benefits.

APPLIED ENERGY (2022)

Add to Collection

Article Energy & Fuels

A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing

Junbei Liu et al.

Summary: This paper develops an agent-based joint EV and V2G model to study the diffusion and influencing factors of EVs and V2G. The results indicate that most respondents are familiar with EVs but less familiar with V2G. Additionally, the diffusion of V2G is influenced by more factors, and EV owners are more likely to use V2G.

APPLIED ENERGY (2022)

Add to Collection

Article Economics

Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging

Maria Lagomarsino et al.

Summary: With the increasing diffusion of electric vehicles, smart charging systems can reduce the stress on distribution grids. However, the potential of this technology depends on the participation of EV drivers. In our online experiment, participants preferred smart charging to decrease costs and increase renewable energy use. However, they tended to overestimate the importance of battery state of charge (SoC) when setting charging preferences, especially those who only drive short distances. Translating SoC into tailored information corrected this bias and increased the number of smart charging choices.

ENERGY POLICY (2022)

Add to Collection

Article Environmental Studies

Electric vehicle demand estimation and charging station allocation using urban informatics

Zhiyan Yi et al.

Summary: This paper presents a novel data-driven approach to optimize public charging for electric vehicles (EVs). The study develops a modified geographical PageRank (MGPR) model to estimate EV charging demand based on trip origin-destination (OD) and social dimension features. The results are used to optimize the spatial layout of public charging stations using the capacitated maximal coverage location problem (CMCLP) model. The study demonstrates that the MGPR model effectively quantifies EV charging demand and the optimized charging stations address the spatial mismatch issue. The developed framework can be applied to other regions for EV charging demand estimation and optimal charging infrastructure siting.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2022)

Add to Collection

Article Thermodynamics

Battery electric vehicle usage pattern analysis driven by massive real-world data

Dingsong Cui et al.

Summary: Electric vehicles play a key role in transportation electrification and reducing pollution. However, their increased usage poses challenges for energy system optimization. This study analyzes a large dataset of charging and travel events in Beijing in 2018, providing valuable insights for large-scale deployment and metropolitan areas.

ENERGY (2022)

Add to Collection

Article Environmental Studies

EV drivers' willingness to accept smart charging: Measuring preferences of potential adopters

Merla Kubli

Summary: This study assesses the preferences of potential adopters of smart charging solutions. It measures the extent to which and under which conditions EV drivers are willing to adjust the charging location, duration, and charging mode. The results offer recommendations for providers of smart charging to win early adopters.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2022)

Add to Collection

Article Energy & Fuels

Empirical charging behavior of plug-in hybrid electric vehicles

Ahmet Mandev et al.

Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.

APPLIED ENERGY (2022)

Add to Collection

Article Thermodynamics

An activity-based travel and charging behavior model for simulating battery electric vehicle charging demand

Yuechen Sophia Liu et al.

ENERGY (2022)

Add to Collection

Article Thermodynamics

Analysis of public acceptance of electric vehicle charging scheduling based on the technology acceptance model

Ning Wang et al.

Summary: This study investigates the acceptance of electric vehicle charging scheduling (EVCS) and its influencing factors. The majority of respondents are willing to participate in EVCS, with a preference for charging time scheduling. Perceived risk has a direct negative impact on user acceptance, while initial trust, social value, and social influence have an indirect positive impact. There are no significant differences in the acceptance of EVCS among different social attribute groups.

ENERGY (2022)

Add to Collection

Review Thermodynamics

A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations

Weipeng Zhan et al.

Summary: This paper provides a comprehensive literature review on the siting, sizing, and operation mechanisms of battery swapping stations, highlighting the synergistic optimization of siting and sizing, collaborative scheduling with microgrids, and routing of EVs. Major challenges and future research directions for BSSs are also pointed out.

ENERGY (2022)

Add to Collection

Article Green & Sustainable Science & Technology

Electric vehicles integration and vehicle-to-grid operation in active distribution grids: A comprehensive review on power architectures, grid connection standards and typical applications

Hang Yu et al.

Summary: This paper discusses the challenges and solutions for integrating electric vehicles with distribution grids and V2G operation, evaluates the performance of different architectures in terms of charging demand compatibility, power quality, V2G availability, etc., and provides recommendations for optimal architecture selection.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

Add to Collection

Article Energy & Fuels

Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption

Siobhan Powell et al.

Summary: The electrification of transport can pose challenges to power grid operations if charging is not properly managed. Different types of charging control and infrastructure scenarios have different impacts on the grid. Controlling the charging load and promoting daytime charging can reduce storage requirements and emissions.

NATURE ENERGY (2022)

Add to Collection

Article Energy & Fuels

The influence of frequency containment reserve flexibilization on the economics of electric vehicle fleet operation

Jan Figgener et al.

Summary: In recent years, the spot and ancillary service markets have become important sources of revenue for stationary battery storage systems. This paper develops a simulation model using data from commercial EVs to calculate the available power of an EV pool. The analysis shows that shorter service periods can increase the pool's available power, and commercial fleets offer reliable power during idle times. The analysis of the German FCR market demonstrates potential revenues for EVs in the range of 450 euro/a to 750 euro/a.

JOURNAL OF ENERGY STORAGE (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data

Benedict J. Mortimer et al.

Summary: To meet the increasing demand for electric vehicles in Germany, a well-developed charging infrastructure is necessary. The placement of charging stations is critical for their utilization rate. This paper proposes a procedure for charging station placement based on real-world data and places of common interest, aiming to optimize the expansion strategies.

WORLD ELECTRIC VEHICLE JOURNAL (2022)

Add to Collection

Article Energy & Fuels

Empirical charging behavior of plug-in hybrid electric vehicles

Ahmet Mandev et al.

Summary: The study investigated the daily charging behavior of over 10,000 Chevrolet Volt PHEVs and found that a percentage of users do not charge overnight, while additional charging occurs on 20-26% of driving days. It also concluded that the utility factor should not be the sole measure of environmental performance for PHEVs.

APPLIED ENERGY (2022)

Add to Collection

Article Transportation

Factors influencing consumer acceptance of vehicle-to-grid by electric vehicle drivers in the Netherlands

Koen van Heuveln et al.

Summary: This study identifies key factors that influence actual EV drivers' acceptance of V2G charging, including financial compensation, transparent communication, and reliable user control of the system. However, some drivers still have reservations and approach V2G with caution.

TRAVEL BEHAVIOUR AND SOCIETY (2021)

Add to Collection

Article Energy & Fuels

Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning

Felix Tuchnitz et al.

Summary: Governments are subsidizing growth in the electric car market to promote sustainable mobility, necessitating smart charging coordination systems. This paper introduces a Reinforcement Learning-based system that manages charging without prior knowledge of system dynamics, performing well and offering flexibility, adaptability, and scalability for electric vehicle fleets.

APPLIED ENERGY (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Electric vehicle drivers' charging behavior analysis considering heterogeneity and satisfaction

Yue Wang et al.

Summary: This study analyzed the factors influencing EV drivers' charging choices and proposed charging influence models and choice behavior models. Results revealed two decision-making patterns among EV drivers: service-concerned and pragmatic-concerned, suggesting the need for reliable high-quality charging services to attract more EV drivers.

JOURNAL OF CLEANER PRODUCTION (2021)

Add to Collection

Review Green & Sustainable Science & Technology

A review of data sources for electric vehicle integration studies

Lisa Calearo et al.

Summary: The manuscript provides a comprehensive review of published data sources for electric vehicle studies and highlights five key parameters for deriving charging profiles. It emphasizes the importance of considering sets of charging sessions for observing individual behavior and discusses using data from various sources to complement missing information.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Add to Collection

Article Environmental Studies

Evaluating smart charging strategies using real-world data from optimized plugin electric vehicles

Sierra Spencer et al.

Summary: Effective management of electric vehicle charging is crucial for reducing peak electricity demand, increasing utilization of renewable energy resources, and lowering charging costs. Studies have shown that optimization measures can successfully shift charging load from high grid cost periods to low grid cost periods, and effectively relocate charging events across different time periods and locations.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)

Add to Collection

Article Energy & Fuels

Grid and user-optimized planning of charging processes of an electric vehicle fleet using a quantitative optimization model

Fynn Welzel et al.

Summary: The promotion of electric mobility is subsidized by various countries as a countermeasure to climate change, with the possibility of charging individual electric vehicles at employer's premises utilizing locally installed photovoltaic systems. An optimization model for coordinated charging of electric vehicles within a local energy system has been developed, aiming to minimize costs for the charging station operator and increase consumption of locally provided photovoltaic power while lowering electricity costs.

APPLIED ENERGY (2021)

Add to Collection

Article Environmental Studies

Electric vehicle fast charging infrastructure planning in urban networks considering daily travel and charging behavior

Mohammadreza Kavianipour et al.

Summary: This study introduces an integrated framework for urban fast charging infrastructure to address the range anxiety issue. The model minimizes the total system cost including charging station and charger installation costs, and charging, queuing, and detouring delays. The solution quality and significant superiority in computational efficiency of the decomposition approach are confirmed in comparison with the implicit enumeration approach.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)

Add to Collection

Article Automation & Control Systems

Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model

Xian Zhang et al.

Summary: This article predicts traffic flow using deep learning and proposes a new probabilistic queuing model for charging load forecasting. Experimental results show that this method can comprehensively learn the uncertainties of electric vehicle charging load, indicating significant potential for practical applications.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Add to Collection

Article Multidisciplinary Sciences

An open tool for creating battery-electric vehicle time series from empirical data, emobpy

Carlos Gaete-Morales et al.

Summary: This paper explores the interaction between future fleets of battery-electric vehicles and the power sector, introducing the open-source tool emobpy for generating time series data that can be applied in various models. By analyzing physical properties and mobility statistics, 200 vehicle profiles for Germany were created and characterized, with a demonstration of the smoothing effect of balanced charging strategies on grid electricity demand.

SCIENTIFIC DATA (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Vehicle Travel Destination Prediction Method Based on Multi-source Data

Jie Hu et al.

Summary: This study proposes a destination prediction method based on multi-source data, including trajectory, time, and POI data encoding models, and establishes a multi-input neural network model. Experimental results show significant improvements in prediction accuracy compared to models based solely on vehicle trajectory data.

AUTOMOTIVE INNOVATION (2021)

Add to Collection

Article Economics

Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China

Yuqiao Huang et al.

Summary: The study found that the decision of trip chain pattern precedes travel mode choice, complex trip chain is related to higher automobile dependency, and people may switch to public transit or cycling when private cars are unavailable.

JOURNAL OF TRANSPORT GEOGRAPHY (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Seasonal effects on electric vehicle energy consumption and driving range: A case study on personal, taxi, and ridesharing vehicles

Xu Hao et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Add to Collection

Review Green & Sustainable Science & Technology

Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review

H. S. Das et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Add to Collection

Article Energy & Fuels

Evaluating the importance and impact of user behavior on public destination charging of electric vehicles

Marc Schmidt et al.

APPLIED ENERGY (2020)

Add to Collection

Article Energy & Fuels

Assessment of flexible electric vehicle charging in a sector coupling energy system model - Modelling approach and case study

Philip Sterchele et al.

APPLIED ENERGY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Research on the spatial-temporal distribution of electric vehicle charging load demand: A case study in China

Tao Yi et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Add to Collection

Article Environmental Studies

Exploring electric vehicle charging patterns: Mixed usage of charging infrastructure

Jae Hyun Lee et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)

Add to Collection

Article Green & Sustainable Science & Technology

A scenario-based stochastic optimization model for charging scheduling of electric vehicles under uncertainties of vehicle availability and charging demand

Zongfei Wang et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Add to Collection

Article Automation & Control Systems

Distributed Charging Management of Electric Vehicles Considering Different Customer Behaviors

Amro Alsabbagh et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users

Jun Yang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Add to Collection

Article Energy & Fuels

An optimization model for electric vehicle charging infrastructure planning considering queuing behavior with finite queue length

Dan Xiao et al.

JOURNAL OF ENERGY STORAGE (2020)

Add to Collection

Article Energy & Fuels

Are travel surveys a good basis for EV models? Validation of simulated charging profiles against empirical data

Giacomo Pareschi et al.

APPLIED ENERGY (2020)

Add to Collection

Article Energy & Fuels

Daily electric vehicle charging load profiles considering demographics of vehicle users

Jing Zhang et al.

APPLIED ENERGY (2020)

Add to Collection

Article Engineering, Multidisciplinary

User-Willingness-Based Decentralized EV Charging Management in Multiaggregator Scheduling

Vishu Gupta et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Add to Collection

Review Engineering, Multidisciplinary

Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration

Fei Teng et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Add to Collection

Review Green & Sustainable Science & Technology

Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review

Benjamin K. Sovacool et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Add to Collection

Article Green & Sustainable Science & Technology

EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs

Jie Yan et al.

RENEWABLE ENERGY (2020)

Add to Collection

Article Thermodynamics

A coordinated charging scheduling method for electric vehicles considering different charging demands

Kaile Zhou et al.

ENERGY (2020)

Add to Collection

Article Energy & Fuels

Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation

Ran Tu et al.

APPLIED ENERGY (2020)

Add to Collection

Review Automation & Control Systems

A review on charging behavior of electric vehicles: data, model, and control

Qing-Shan Jia et al.

CONTROL THEORY AND TECHNOLOGY (2020)

Add to Collection

Article Computer Science, Information Systems

Two-Stage Optimal Scheduling Strategy for Large-Scale Electric Vehicles

Xiuyun Wang et al.

IEEE ACCESS (2020)

Add to Collection

Article Automation & Control Systems

Decentralized Charging Control of Electric Vehicles in Residential Distribution Networks

Mingxi Liu et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Modelling of large-scale electric vehicles charging demand: A New Zealand case study

Jun Su et al.

ELECTRIC POWER SYSTEMS RESEARCH (2019)

Add to Collection

Article Thermodynamics

PEVs data mining based on factor analysis method for energy storage and DG planning in active distribution network: Introducing S2S effect

Ali Ahmadian et al.

ENERGY (2019)

Add to Collection

Article Green & Sustainable Science & Technology

Charging demand of Plug-in Electric Vehicles: Forecasting travel behavior based on a novel Rough Artificial Neural Network approach

Hamidreza Jahangir et al.

JOURNAL OF CLEANER PRODUCTION (2019)

Add to Collection

Review Green & Sustainable Science & Technology

Integrating plug-in electric vehicles into power grids: A comprehensive review on power interaction mode, scheduling methodology and mathematical foundation

Yanchong Zheng et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal Sizing of PEV Fast Charging Stations With Markovian Demand Characterization

Qiang Yang et al.

IEEE TRANSACTIONS ON SMART GRID (2019)

Add to Collection

Review Economics

Optimization models for electric vehicle service operations: A literature review

Zuo-Jun Max Shen et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2019)

Add to Collection

Article Environmental Studies

Demand drivers for charging infrastructure-charging behavior of plug-in electric vehicle commuters

Debapriya Chakraborty et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2019)

Add to Collection

Article Energy & Fuels

Electric vehicles' impacts on residential electric local profiles - A stochastic modelling approach considering socio-economic, behavioural and spatial factors

David Fischer et al.

APPLIED ENERGY (2019)

Add to Collection

Article Thermodynamics

Usage pattern analysis of Beijing private electric vehicles based on real-world data

Xudong Zhang et al.

ENERGY (2019)

Add to Collection

Article Thermodynamics

Characteristics of electric vehicle charging demand at multiple types of location - Application of an agent-based trip chain model

Haiyang Lin et al.

ENERGY (2019)

Add to Collection

Article Thermodynamics

Electric vehicle charging in smart grid: A spatial-temporal simulation method

Yue Xiang et al.

ENERGY (2019)

Add to Collection

Review Computer Science, Information Systems

Review on Scheduling, Clustering, and Forecasting Strategies for Controlling Electric Vehicle Charging: Challenges and Recommendations

Ali Saadon Al-Ogaili et al.

IEEE ACCESS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Probabilistic modeling of electric vehicle charging pattern in a residential distribution network

Azhar Ul-Haq et al.

ELECTRIC POWER SYSTEMS RESEARCH (2018)

Add to Collection

Article Thermodynamics

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Jesus Fraile-Ardanuy et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

Add to Collection

Article Automation & Control Systems

A Novel Markov-Based Temporal-SoC Analysis for Characterizing PEV Charging Demand

Siyang Sun et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies

Yue Wang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Quantitive analysis of electric vehicle flexibility: A data-driven approach

N. Sadeghianpourhamami et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Add to Collection

Review Green & Sustainable Science & Technology

Interactions between electric mobility and photovoltaic generation: A review

Quentin Hoarau et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Add to Collection

Article Environmental Studies

Fast charging infrastructure for electric vehicles: Today's situation and future needs

Till Gnann et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2018)

Add to Collection

Review Environmental Studies

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

Scott Hardman et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2018)

Add to Collection

Article Environmental Studies

Forecasting electricity demand of electric vehicles by analyzing consumers' charging patterns

HyungBin Moon et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2018)

Add to Collection

Article Engineering, Civil

An Investigation of Battery Electric Vehicle Driving and Charging Behaviors Using Vehicle Usage Data Collected in Shanghai, China

Jie Yang et al.

TRANSPORTATION RESEARCH RECORD (2018)

Add to Collection

Article Energy & Fuels

Impact of uncoordinated plug-in electric vehicle charging on residential power demand

Matteo Muratori

NATURE ENERGY (2018)

Add to Collection

Article Energy & Fuels

Simulating the value of electric-vehicle-grid integration using a behaviourally realistic model

Michael Wolinetz et al.

NATURE ENERGY (2018)

Add to Collection

Article Energy & Fuels

Planning for electric vehicle needs by coupling charging profiles with urban mobility

Yanyan Xu et al.

NATURE ENERGY (2018)

Add to Collection

Article Energy & Fuels

Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data

Mahmoud Shepero et al.

APPLIED ENERGY (2018)

Add to Collection

Proceedings Paper Green & Sustainable Science & Technology

A Charging Strategy with the Price Stimulus Considering the Queue of Charging Station and EV Fast Charging Demand

Kai Yuan et al.

RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model

Hongcai Zhang et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2017)

Add to Collection

Article Green & Sustainable Science & Technology

Generating electric vehicle load profiles from empirical data of three EV fleets in Southwest Germany

Johannes Schaeuble et al.

JOURNAL OF CLEANER PRODUCTION (2017)

Add to Collection

Article Chemistry, Physical

Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation

Dai Wang et al.

JOURNAL OF POWER SOURCES (2017)

Add to Collection

Review Green & Sustainable Science & Technology

Modelling electric vehicles use: a survey on the methods

Nicolo Daina et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Add to Collection

Article Transportation Science & Technology

Response of electric vehicle drivers to dynamic pricing of parking and charging services: Risky choice in early reservations

C. Latinopoulos et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Add to Collection

Article Transportation Science & Technology

Electric vehicle charging choices: Modelling and implications for smart charging services

Nicolo Daina et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Add to Collection

Article Transportation Science & Technology

A data-driven optimization-based approach for siting and sizing of electric taxi charging stations

Jie Yang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Add to Collection

Article Energy & Fuels

Prediction of electric vehicle charging-power demand in realistic urban traffic networks

Mariz B. Arias et al.

APPLIED ENERGY (2017)

Add to Collection

Article Energy & Fuels

Individual trip chain distributions for passenger cars: Implications for market acceptance of battery electric vehicles and energy consumption by plug-in hybrid electric vehicles

Xiaoyi He et al.

APPLIED ENERGY (2016)

Add to Collection

Article Energy & Fuels

Electric vehicle charging demand forecasting model based on big data technologies

Mariz B. Arias et al.

APPLIED ENERGY (2016)

Add to Collection

Article Energy & Fuels

A methodology to generate power profiles of electric vehicle parking lots under different operational strategies

Nikolaos G. Paterakis et al.

APPLIED ENERGY (2016)

Add to Collection

Article Energy & Fuels

A data-driven approach for characterising the charging demand of electric vehicles: A UK case study

Erotokritos Xydas et al.

APPLIED ENERGY (2016)

Add to Collection

Article Energy & Fuels

Electric vehicle charging in China's power system: Energy, economic and environmental trade-offs and policy implications

Ying Li et al.

APPLIED ENERGY (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Hierarchical Coordination of Heterogeneous Flexible Loads

Zhiwei Xu et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Charging demand for electric vehicle based on stochastic analysis of trip chain

Tao Shun et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal planning of plug-in hybrid electric vehicle charging station in distribution network considering demand response programs and uncertainties

Saeed Shojaabadi et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2016)

Add to Collection

Article Multidisciplinary Sciences

The TimeGeo modeling framework for urban motility without travel surveys

Shan Jiang et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

Add to Collection

Article Transportation Science & Technology

Understanding user acceptance factors of electric vehicle smart charging

Christian Will et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Add to Collection

Article Environmental Studies

An investigation into usage patterns of electric vehicles in Ireland

Peter Weldon et al.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2016)

Add to Collection

Article Construction & Building Technology

Modelling charging profiles of electric vehicles based on real-world electric vehicle charging data

John Brady et al.

SUSTAINABLE CITIES AND SOCIETY (2016)

Add to Collection

Article Energy & Fuels

A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

Myriam Neaimeh et al.

APPLIED ENERGY (2015)

Add to Collection

Article Energy & Fuels

Long term individual load forecast under different electrical vehicles uptake scenarios

Anush Poghosyan et al.

APPLIED ENERGY (2015)

Add to Collection

Review Green & Sustainable Science & Technology

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

Zhile Yang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)

Add to Collection

Article Engineering, Civil

Patent and Latent Predictors of Electric Vehicle Charging Behavior

Nicolo Daina et al.

TRANSPORTATION RESEARCH RECORD (2015)

Add to Collection

Article Environmental Studies

User responses to a smart charging system in Germany: Battery electric vehicle driver motivation, attitudes and acceptance

Franziska Schmalfuss et al.

ENERGY RESEARCH & SOCIAL SCIENCE (2015)

Add to Collection

Article Energy & Fuels

Optimal charging of an electric vehicle using a Markov decision process

Emil B. Iversen et al.

APPLIED ENERGY (2014)

Add to Collection

Article Energy & Fuels

A Spatial-Temporal model for grid impact analysis of plug-in electric vehicles

Yunfei Mu et al.

APPLIED ENERGY (2014)

Add to Collection

Review Green & Sustainable Science & Technology

Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration

Francis Mwasilu et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)

Add to Collection

Review Green & Sustainable Science & Technology

Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration

David B. Richardson

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2013)

Add to Collection

Article Engineering, Electrical & Electronic

Spatial and Temporal Model of Electric Vehicle Charging Demand

Sungwoo Bae et al.

IEEE TRANSACTIONS ON SMART GRID (2012)

Add to Collection

Article Engineering, Electrical & Electronic

PEV Charging Profile Prediction and Analysis Based on Vehicle Usage Data

Ali Ashtari et al.

IEEE TRANSACTIONS ON SMART GRID (2012)

Add to Collection

Article Economics

Exploring the trip chaining behaviour of public transport users in Melbourne

Graham Currie et al.

TRANSPORT POLICY (2011)

Add to Collection

Article Economics

A simultaneous model of household activity participation and trip chain generation

TF Golob

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.