Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

Khayyam, Hamid, Abawajy, Jemal, Javadi, Bahman, Goscinski, Andrzej, Stojcevski, Alex and Bab-Hadiashar, Alireza 2013, Intelligent battery energy management and control for vehicle-to-grid via cloud computing network, Applied energy, vol. 111, pp. 971-981.

Attached Files
Name Description MIMEType Size Downloads

Title Intelligent battery energy management and control for vehicle-to-grid via cloud computing network
Author(s) Khayyam, Hamid
Abawajy, Jemal
Javadi, Bahman
Goscinski, Andrzej
Stojcevski, Alex
Bab-Hadiashar, Alireza
Journal name Applied energy
Volume number 111
Start page 971
End page 981
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2013
ISSN 0306-2619
1872-9118
Keyword(s) Intelligent battery energy management
Intelligent scheduling
Fuzzy logic prediction
Cloud computing
Vehicle to grid
Battery energy management and control
Language eng
Field of Research 090203 Automotive Mechatronics
090607 Power and Energy Systems Engineering (excl Renewable Power)
091305 Energy Generation, Conversion and Storage Engineering
Socio Economic Objective 850702 Energy Conservation and Efficiency in Transport
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2013, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057590

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 8 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 52 Abstract Views, 5 File Downloads  -  Detailed Statistics
Created: Tue, 12 Nov 2013, 13:44:30 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.