Results 21 to 30 of about 121,880 (306)

Machine learning approach for electric vehicle availability forecast to provide vehicle-to-home services

Energy Reports, 2021
In this study, we propose a machine learning (ML) model to predict the availability of an electric vehicle (EV) providing vehicle to home (V2H) services. Electric vehicles are able to store and give back energy directly to consumers and/or the grid using
Donovan Aguilar-Dominguez, Jude Ejeh, Alan D.F. Dunbar, Solomon F. Brown   +3 more
doaj   +1 more source

The V2G Process With the Predictive Model

IEEE Access, 2020
The paper proposes using a predictive model to optimize the use of electricity in the V2G (vehicle to grid) service. The novelty of the mechanism as a kind of model predictive control (MPC) is that it seeks an effective way of managing electric energy in
Bartlomiej Mroczek, Amanda Kolodynska
doaj   +1 more source

Engaging governance in electric vehicle adoption: policy implications for an outermost region of the European Union

Transportation Research Interdisciplinary Perspectives
Due to its reliance on fossil fuels, geographical isolation, and fragmented energy system, electric vehicles are essential for the Canary Islands’ decarbonization strategy.
Francisco J. Ramos-Real, Santiago Escamilla-Fraile, Iván Medina-Jiménez, Francisco J. Calero-García   +3 more
doaj   +1 more source

Review on Charging Methods and Charging Solutions for Electric Vehicles [PDF]

E3S Web of Conferences
Electric Vehicles (EVs) are gaining popularity due to low maintenance cost and zero emissions. The range of the EVs depends on the energy stored in their batteries which can be charged by using a normal (AC) charger or a fast (DC) charger.
Chakravarthy B.K., Lakshmi G. Sree, Prasad Bhupathi Hari   +2 more
doaj   +1 more source

Prediction of Electric Vehicle Driving Range and Performance Characteristics: A Review on Analytical Modeling Strategies With Its Influential Factors and Improvisation Techniques

IEEE Access, 2023
Electric mobility is getting prominence in modern transportation as government policies aim to reduce greenhouse gas (GHG) emissions. In the context of real-time testing, numerical modelling and simulation of electric vehicle (EV) powertrains play a ...
Azhaganathan Gurusamy, Bragadeshwaran Ashok, Byron Mason   +2 more
doaj   +1 more source

Virtual power plants with electric vehicles [PDF]

, 2010
The benefits of integrating aggregated Electric Vehicles (EV) within the Virtual Power Plant (VPP) concept, are addressed. Two types of EV aggregators are identified: i) Electric Vehicle Residential Aggregator (EVRA), which is responsible for the ...
Cipcigan, Liana M, Grau, Iñaki, Jenkins, Nick, Papadopoulos, Panagiotis, Skarvelis-Kazakos, Spyros   +4 more
core  

Smart electric vehicle charging system [PDF]

, 2011
In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process.
Afonso, João L., Ferreira, João C., Monteiro, Vítor Duarte Fernandes, Silva, Alberto R.   +3 more
core   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Electric vehicle optimal scheduling method considering charging piles matching based on edge intelligence

iEnergy
To adress the problems of insufficient consideration of charging pile resource limitations, discrete-time scheduling methods that do not meet the actual demand and insufficient descriptions of peak-shaving response capability in current electric vehicle (
Ning Guo, Tuo Ji, Xiaolong Xiao, Tiankui Sun, Jinming Chen, Xiaoxing Lu, Xinyi Zheng, Shufeng Dong   +7 more
doaj   +1 more source

Understanding the Non-Collision Related Battery Safety Risks in Electric Vehicles a Case Study in Electric Vehicle Recalls and the LG Chem Battery

IEEE Access, 2021
Electric vehicles (EV) are considered the future of the automobile industry due to their high energy conversion efficiency and environmental friendliness. However, there are safety risks associated with Li-ion batteries, including the potential for fires
Ryan Aalund, Weiping Diao, Lingxi Kong, Michael Pecht   +3 more
doaj   +1 more source