Results 21 to 30 of about 10,974 (263)
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging [PDF]
IEEE Transactions on Smart Grid, 2021 We describe the architecture and algorithms of the Adaptive Charging Network (ACN), which was first deployed on the Caltech campus in early 2016 and is currently operating at over 100 other sites in the United States. The architecture enables real-time monitoring and control and supports electric vehicle (EV) charging at scale.
Zachary J. Lee +8 more
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Energies, 2020 Electric vehicles (EVs) and charging piles have been growing rapidly in China in the last five years. Private charging piles are widely adopted in major cities and have partly changed the charging behaviors of EV users.
Jian Chen +3 more
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Energies, 2022 Nowadays, the implementation of smart charging concepts and management strategies with vehicle-to-everything (V2X) functionalities, is required to address the increasing number of battery electric buses (BEBs) in cities.
Boud Verbrugge +6 more
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Alignment-Free Wireless Charging of Smart Garments with Embroidered Coils
Sensors, 2021 Wireless power transfer (WPT) technologies have been adopted by many products. The capability of charging multiple devices and the design flexibility of charging coils make WPT a good solution for charging smart garments.
Chin-Wei Chang +2 more
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Smart charging for electric vehicles to minimise charging cost [PDF]
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2017 This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available.
Wang, Yue, Infield, David, Gill, Simon
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Energies, 2020 The integration of photovoltaic (PV) and electric vehicle (EV) charging in residential buildings has increased in recent years. At high latitudes, both pose new challenges to the residential power systems due to the negative correlation between household
Reza Fachrizal, Joakim Munkhammar
doaj +1 more source
Machine Learning Approaches for EV Charging Behavior: A Review
IEEE Access, 2020 As the smart city applications are moving from conceptual models to development phase, smart transportation is one of smart cities applications and it is gaining ground nowadays.
Sakib Shahriar +4 more
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Energies, 2022 As plug-in electric vehicles (PEVs) become more and more popular, there is a growing interest in the management of their charging power. Many models exist nowadays to manage the charging of plug-in electric vehicles, and it is important that these models
Lijuan Sun +6 more
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Electric vehicle charging and end-user motivation for flexibility: a case study from Norway
Energy, Sustainability and Society, 2021 Background Norway is currently in the process of replacing internal combustion engine (ICE) vehicles with electric vehicles (EVs). A steadily increasing number of EVs being charged in the evening when the demand peaks are already high has added to the ...
Ida Marie Henriksen +3 more
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Complexity of Scheduling Charging in the Smart Grid [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 The problem of optimally scheduling the charging demand of electric vehicles within the constraints of the electricity infrastructure is called the charge scheduling problem. The models of the charging speed, horizon, and charging demand determine the computational complexity of the charge scheduling problem.
Mathijs de Weerdt +3 more
openaire +4 more sources