Charging infrastructure planning for electric vehicles in giant cities
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings |
Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE |
Pages | 4651-4655 |
ISBN (Print) | 9781509066841 |
Publication status | Published - Oct 2018 |
Publication series
Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
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Conference
Title | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
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Place | United States |
City | Washington |
Period | 20 - 23 October 2018 |
Link(s)
Abstract
With the rapid exhaustion of fossil energy, electric vehicles (EVs) become one of the key candidates for the next generation of transportation. Increasingly perfect technology developed makes EVs grow significantly. Therefore, Charging Stations (CSs), as accessories and necessities of EVs, should form a network with optimal planning. Inappropriate CS network design could cause series of negative effects to the popularization of EVs, the layout of the city traffic network and the financial cost of CS network construction, etc. Besides, the charging infrastructure planning for cities with large population and high EV density becomes even difficult. In this paper, an Effective Planning of CSs Network (CSN) is proposed. Comprehensive environmental elements (e.g. cities' and CSs' information, EV charging status, etc.) are considered in CSN. The CSN deals with complicated city planning in giant cities (i.e. large population, high EV density, etc.). Hong Kong is selected as the case study because it can be regarded as a typical giant city. Results show that the proposed CSN can ensure the EVs can find a CS before it is out of power. Besides, the CSN saves ~18% financial cost for the charging infrastructure planning in giant cities.
Research Area(s)
- Charging stations, City planning, Electric vehicles
Citation Format(s)
Charging infrastructure planning for electric vehicles in giant cities. / Chi, Hao Ran; Zhu, Hongxu; Liu, Yucheng et al.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. p. 4651-4655 8591194 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. p. 4651-4655 8591194 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review