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Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure

WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. Th...

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Detalles Bibliográficos
Autores principales: Chung, Ching-Yen, Chynoweth, Joshua, Chu, Chi-Cheng, Gadh, Rajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058239/
https://www.ncbi.nlm.nih.gov/pubmed/24982956
http://dx.doi.org/10.1155/2014/462312
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author Chung, Ching-Yen
Chynoweth, Joshua
Chu, Chi-Cheng
Gadh, Rajit
author_facet Chung, Ching-Yen
Chynoweth, Joshua
Chu, Chi-Cheng
Gadh, Rajit
author_sort Chung, Ching-Yen
collection PubMed
description WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging.
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spelling pubmed-40582392014-06-30 Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure Chung, Ching-Yen Chynoweth, Joshua Chu, Chi-Cheng Gadh, Rajit ScientificWorldJournal Research Article WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging. Hindawi Publishing Corporation 2014 2014-05-26 /pmc/articles/PMC4058239/ /pubmed/24982956 http://dx.doi.org/10.1155/2014/462312 Text en Copyright © 2014 Ching-Yen Chung et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chung, Ching-Yen
Chynoweth, Joshua
Chu, Chi-Cheng
Gadh, Rajit
Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title_full Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title_fullStr Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title_full_unstemmed Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title_short Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure
title_sort master-slave control scheme in electric vehicle smart charging infrastructure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058239/
https://www.ncbi.nlm.nih.gov/pubmed/24982956
http://dx.doi.org/10.1155/2014/462312
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