Dynamic Surrogate Trip-Level Energy Model for Electric Bus Transit System Optimization

The introduction of electric mobility solutions mitigates transportion-related greenhouse gas emissions. Transit buses are considered a promising candidate for electrification. This study contributes to the growing literature on battery-electric buses (BEBs) and aims to quantify the optimal allocation of BEB infrastructure and charging schedules. A generic model for the charging capacity and scheduling of the BEB network is developed. The proposed model proposes an algorithm for the calculation of trip-level BEB energy consumption based on a surrogate model-based space mapping algorithm. Instead of using vehicle simulators or constant values for the energy consumption rate for each trip, the input space mapping has been applied to a simple coarse model to build an accurate surrogate model. The proposed algorithm is tested on the bus transit network in Belleville City in Canada considering BEBs using both Flash and Opportunity charging. The results show the efficiency of the proposed model and highlight the impact on the optimization results of calculating the trip-level energy consumption compared with the traditional methods.

• Record URL:
  https://doi.org/10.1177/03611981221100242
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Ahmed Foda https://orcid.org/0000-0001-6547-124X© National Academy of Sciences: Transportation Research Board 2022.
• Authors:
  • Foda, Ahmed
  • 0000-0001-6547-124X
  • Mohamed, Moataz
  • 0000-0002-1345-7240
  • Bakr, Mohamed
  • 0000-0002-3749-2657
• Publication Date: 2023-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 513-528
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2677
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Electric buses; Electric vehicle charging; Energy consumption; Infrastructure; Optimization
• Subject Areas: Energy; Planning and Forecasting; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01849828
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Jun 27 2022 11:37AM