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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/66711 |
| _version_ | 1826129700283482112 |
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| author | Pang, Gavin |
| author2 | Tan Ah Hwee |
| author_facet | Tan Ah Hwee Pang, Gavin |
| author_sort | Pang, Gavin |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T07:44:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/66711 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:44:28Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering Pang, Gavin Battery management in electric vehicles for smart grids |
| title | 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_short | Battery management in electric vehicles for smart grids |
| title_sort | battery management in electric vehicles for smart grids |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/66711 |
| work_keys_str_mv | AT panggavin batterymanagementinelectricvehiclesforsmartgrids |