Battery management in electric vehicles for smart grids

With Singapore venturing into smart-grids in the latest few smart buildings [1]. V2G(Vehicle-to-Grid) would be incorporated to further reduce energy costs and increase energy efficiency. PEVs would be connected to the grid to reduce the peak demand and balance the energy consumption with supply. On...

Full description

Saved in:
Bibliographic Details
Main Author: Pang, Gavin
Other Authors: Tan Ah Hwee
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66711
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-66711
record_format dspace
spelling sg-ntu-dr.10356-667112023-03-03T20:50:04Z Battery management in electric vehicles for smart grids Pang, Gavin Tan Ah Hwee School of Computer Engineering Arvind Easwaran DRNTU::Engineering With Singapore venturing into smart-grids in the latest few smart buildings [1]. V2G(Vehicle-to-Grid) would be incorporated to further reduce energy costs and increase energy efficiency. PEVs would be connected to the grid to reduce the peak demand and balance the energy consumption with supply. On the assumption that Singapore’s traffic usually is at its highest during ‘peak hours’, this study will show the amount variance with respect to PEVs available. Firstly, researches and data collection was executed to in preparation. Secondly, attention was on construction and testing of modules and components of Smart-Grid. Lastly, statistic analysis was done with heuristic data to achieve balance of energy and calculation of load variance. Bachelor of Engineering (Computer Engineering) 2016-04-21T08:21:38Z 2016-04-21T08:21:38Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66711 en Nanyang Technological University 38 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Pang, Gavin
Battery management in electric vehicles for smart grids
description With Singapore venturing into smart-grids in the latest few smart buildings [1]. V2G(Vehicle-to-Grid) would be incorporated to further reduce energy costs and increase energy efficiency. PEVs would be connected to the grid to reduce the peak demand and balance the energy consumption with supply. On the assumption that Singapore’s traffic usually is at its highest during ‘peak hours’, this study will show the amount variance with respect to PEVs available. Firstly, researches and data collection was executed to in preparation. Secondly, attention was on construction and testing of modules and components of Smart-Grid. Lastly, statistic analysis was done with heuristic data to achieve balance of energy and calculation of load variance.
author2 Tan Ah Hwee
author_facet Tan Ah Hwee
Pang, Gavin
format Final Year Project
author Pang, Gavin
author_sort Pang, Gavin
title Battery management in electric vehicles for smart grids
title_short Battery management in electric vehicles for smart grids
title_full Battery management in electric vehicles for smart grids
title_fullStr Battery management in electric vehicles for smart grids
title_full_unstemmed Battery management in electric vehicles for smart grids
title_sort battery management in electric vehicles for smart grids
publishDate 2016
url http://hdl.handle.net/10356/66711
_version_ 1759857439207849984