Optimal fast charging station locations for electric ridesharing with vehicle-charging station assignment

Electrified shared mobility services need to handle charging infrastructure planning and manage their daily charging operations to minimize total charging operation time and cost. However, existing studies tend to address these problems separately. A new online vehicle-charging assignment model is proposed and integrated into the fast charging location problem for dynamic ridesharing services using electric vehicles. The latter is formulated as a bi-level optimization problem to minimize the fleet’s daily charging operation time. A surrogate-assisted optimization approach is proposed to solve the combinatorial optimization problem efficiently. The proposed model is tested on a realistic flexible bus service in Luxembourg. The results show that the proposed online charging policy can effectively reduce the charging delays of the fleet compared to the state-of-the-art methods. With 10 additional DC fast chargers installed, charging operation time can be reduced up to 27.8% when applying the online charging policy under the test scenarios.

• Record URL:
  • https://doi.org/10.1016/j.trd.2020.102682
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S136192092030866X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ma, Tai-Yu
  • 0000-0001-6900-098X
  • Xie, Simin
• Publication Date: 2021-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 102682
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 90
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Electric buses; Electric vehicle charging; Electric vehicles; Infrastructure; Location; Optimization; Queuing; Ridesharing; Transit buses
• Geographic Terms: Luxembourg
• Subject Areas: Energy; Highways; Planning and Forecasting; Public Transportation; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01765204
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 19 2021 5:32PM