Results 1 to 10 of about 378,251 (316)

Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure.

Sci Rep
Sharma A, Rani S, Shabaz M.
europepmc   +1 more source

Vehicle-to-Grid Charging Optimization of Electric Vehicle

2020 IEEE Conference on Control Technology and Applications (CCTA), 2020
Electric vehicles (EV) become more popular and are expected to increase considerably over the next decades. EV charging loads are flexible and can be controllable compared to the offices and factory loads. Therefore, utilities will manage the controllable EV loads to smooth and reduce total peak loads using the time of use (TOU) price plan.
Hyunsup Kim, Hanseung Myeong, Inseok Park, Jaehyuk Choi, Kyoungjoo Kim   +4 more
openaire   +1 more source

Uberizing the Charging Ecosystem for Electric Vehicles

Proceedings of the Eleventh ACM International Conference on Future Energy Systems, 2020
In many metropolitan cities, multi-unit residential buildings (MURB) are becoming more common than single-family independent homes due to lack of urban space. MURB residents (around 42% in Europe) are potential adopters of electric vehicles (EV), but lack a private garage for EV charging.
Aakash Krishna, Ajay Narayanan, Sunil Krishnakumar, Prasant Misra, Arunchandar Vasan 0001, Venkatesh Sarangan, Anand Sivasubramaniam   +6 more
openaire   +1 more source

Charging an Electric Vehicle-Sharing Fleet

Manufacturing & Service Operations Management, 2020
Problem definition: Many cities worldwide are embracing electric vehicle (EV) sharing as a flexible and sustainable means of urban transit.
Long He 0001, Guangrui Ma, Wei Qi, Xin Wang 0161   +3 more
openaire   +1 more source

Smart Charging of Electric Vehicles

2017
A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy generation and demand. In the last years several Demand Side Management approaches have been developed. A major drawback of these approaches is that they mainly focus on realtime control and not on planning, and hence cannot fully exploit the ...
Kempker, P.L., Dijk, N.M. van, Scheinhardt, W., Berg, H. van den, Hurink, J.   +4 more
openaire   +3 more sources

An Authentication Framework for Electric Vehicle-to-Electric Vehicle Charging Applications

2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2017
Electric vehicles are becoming parts of our daily lives with the increasing investment from auto industry. However, their charging is an issue as this requires frequent charging and longer waiting times compared to traditional gasoline-based vehicles. The charging is typically done at residential or public charging stations.
Braden Roberts, Kemal Akkaya, Eyuphan Bulut, Mithat C. Kisacikoglu   +3 more
openaire   +1 more source

Electric vehicles charging load reprofiling

22nd Mediterranean Conference on Control and Automation, 2014
This paper presents a reference architecture and a control scheme for the aggregation and management of electric vehicle (EV) load at medium voltage level. The focus is put on the problem of EV load reprofiling, aimed at the procurement of active demand (AD) services to interested grid/market actors.
LIBERATI, FRANCESCO, MERCURIO, ANDREA, ZUCCARO, LETTERIO, A. Tortorelli, DI GIORGIO, ALESSANDRO   +4 more
openaire   +2 more sources

Charging Network for Electric Vehicles

2012
This paper proposes a full EV charging network architecture, based on the current test-pilot of a national energy provider. The Electric Vehicle Charging Station (EVCS) follows a modular approach, allowing multi-communication technologies, such as, General Packet Radio Service (GPRS), Wi-Fi and Ethernet. The EVCS was verified both in the functional, as
Tiago Pinheiro, Mário Serafim Nunes, Martijn Kuipers   +2 more
openaire   +1 more source

Boolean Games for Charging Electric Vehicles

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013
Electric Vehicles (EVs) must coordinate their charging time-slots in order to balance the load of the smart grid. The present paper models the coordination of charging among EV agents as a Boolean game, where the balancing of the global load is achieved by a principal through the use of environment variables.
Vadim Levit 0001, Tal Grinshpoun, Amnon Meisels   +2 more
openaire   +1 more source