Locating multiple types of charging facilities for battery electric vehicles
To reduce greenhouse gas emissions in transportation sector, battery electric vehicle (BEV) is a better choice towards the ultimate goal of zero-emission. However, the shortened range, extended recharging time and insufficient charging facilities hinder the wide adoption of BEV. Recently, a wireless...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://hdl.handle.net/10356/83236 http://hdl.handle.net/10220/42501 |
| _version_ | 1811687619369631744 |
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| author | Liu, Haoxiang Wang, David Zhi Wei |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Liu, Haoxiang Wang, David Zhi Wei |
| author_sort | Liu, Haoxiang |
| collection | NTU |
| description | To reduce greenhouse gas emissions in transportation sector, battery electric vehicle (BEV) is a better choice towards the ultimate goal of zero-emission. However, the shortened range, extended recharging time and insufficient charging facilities hinder the wide adoption of BEV. Recently, a wireless power transfer technology, which can provide dynamic recharging when vehicles are moving on roadway, has the potential to solve these problems. The dynamic recharging facilities, if widely applied on road network, can allow travelers to drive in unlimited range without stopping to recharge. This paper aims to study the complex charging facilities location problem, assuming the wireless charging is technologically mature and a new type of wireless recharging BEV is available to be selected by consumers in the future other than the traditional BEV requiring fixed and static charging stations. The objective is to assist the government planners on optimally locating multiple types of BEV recharging facilities to satisfy the need of different BEV types within a given budget to minimize the public social cost. Road users’ ownership choice among multiple types BEV and BEV drivers’ routing choice behavior are both explicitly considered. A tri-level programming is then developed to model the presented problem. The formulated model is first treated as a black-box optimization, and then solved by an efficient surface response approximation model based solution algorithm. |
| first_indexed | 2024-10-01T05:19:11Z |
| format | Journal Article |
| id | ntu-10356/83236 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:19:11Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/832362020-03-07T11:43:33Z Locating multiple types of charging facilities for battery electric vehicles Liu, Haoxiang Wang, David Zhi Wei School of Civil and Environmental Engineering Wireless charging Battery electric vehicle To reduce greenhouse gas emissions in transportation sector, battery electric vehicle (BEV) is a better choice towards the ultimate goal of zero-emission. However, the shortened range, extended recharging time and insufficient charging facilities hinder the wide adoption of BEV. Recently, a wireless power transfer technology, which can provide dynamic recharging when vehicles are moving on roadway, has the potential to solve these problems. The dynamic recharging facilities, if widely applied on road network, can allow travelers to drive in unlimited range without stopping to recharge. This paper aims to study the complex charging facilities location problem, assuming the wireless charging is technologically mature and a new type of wireless recharging BEV is available to be selected by consumers in the future other than the traditional BEV requiring fixed and static charging stations. The objective is to assist the government planners on optimally locating multiple types of BEV recharging facilities to satisfy the need of different BEV types within a given budget to minimize the public social cost. Road users’ ownership choice among multiple types BEV and BEV drivers’ routing choice behavior are both explicitly considered. A tri-level programming is then developed to model the presented problem. The formulated model is first treated as a black-box optimization, and then solved by an efficient surface response approximation model based solution algorithm. MOE (Min. of Education, S’pore) Accepted version 2017-05-26T07:01:30Z 2019-12-06T15:18:04Z 2017-05-26T07:01:30Z 2019-12-06T15:18:04Z 2017 Journal Article Liu, H., & Wang, D. Z. W. (2017). Locating multiple types of charging facilities for battery electric vehicles. Transportation Research Part B: Methodological, in press. 0191-2615 https://hdl.handle.net/10356/83236 http://hdl.handle.net/10220/42501 10.1016/j.trb.2017.01.005 en Transportation Research Part B: Methodological © 2017 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Transportation Research Part B: Methodological, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.trb.2017.01.005]. 43 p. application/pdf |
| spellingShingle | Wireless charging Battery electric vehicle Liu, Haoxiang Wang, David Zhi Wei Locating multiple types of charging facilities for battery electric vehicles |
| title | Locating multiple types of charging facilities for battery electric vehicles |
| title_full | Locating multiple types of charging facilities for battery electric vehicles |
| title_fullStr | Locating multiple types of charging facilities for battery electric vehicles |
| title_full_unstemmed | Locating multiple types of charging facilities for battery electric vehicles |
| title_short | Locating multiple types of charging facilities for battery electric vehicles |
| title_sort | locating multiple types of charging facilities for battery electric vehicles |
| topic | Wireless charging Battery electric vehicle |
| url | https://hdl.handle.net/10356/83236 http://hdl.handle.net/10220/42501 |
| work_keys_str_mv | AT liuhaoxiang locatingmultipletypesofchargingfacilitiesforbatteryelectricvehicles AT wangdavidzhiwei locatingmultipletypesofchargingfacilitiesforbatteryelectricvehicles |