Joint optimization of electric bus charging infrastructure, vehicle scheduling, and charging management

He, Yi; Liu, Zhaocai; Song, Ziqi

doi:10.1016/j.trd.2023.103653

Joint optimization of electric bus charging infrastructure, vehicle scheduling, and charging management

Journal Article · Thu Mar 02 00:00:00 EST 2023 · Transportation Research. Part D, Transport and Environment

DOI:https://doi.org/10.1016/j.trd.2023.103653· OSTI ID:1974034

He, Yi ^[1]; Liu, Zhaocai ^[2]; Song, Ziqi ^[1]

Utah State University, Logan, UT (United States)
Utah State University, Logan, UT (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)

High upfront costs of vehicles and charging infrastructure as well as the lack of knowledge related to infrastructure planning and electric bus system operation are major obstacles to the implementation of battery electric buses (BEBs). To tackle the obstacles and promote BEB adoption, a comprehensive optimization framework was developed to address the combined charging infrastructure planning, vehicle scheduling, and charging management problem for BEB systems, with the goal to minimize the total cost of ownership. The problem was formulated as a mixed-integer non-linear problem. A genetic algorithm-based approach was then proposed to solve the problem. Last, three alternative scenarios based on a sub-transit network in Salt Lake City, Utah, were analyzed and compared with the optimal scenario results in the numerical experiments. Our comparison results demonstrate the effectiveness of the proposed model and solution algorithm in determining a cost-efficient planning strategy for BEB systems.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: Center for Advancing Sustainability through Powered Infrastructure for Roadway Electrification (ASPIRE); National Science Foundation (NSF; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office

Grant/Contract Number:: AC36-08GO28308; EE0009213

OSTI ID:: 1974034

Report Number(s):: NREL/JA-2C00-85306; MainId:86079; UUID:e1c3bc5e-1338-48b7-909a-d9f3d649b2ed; MainAdminID:69528

Journal Information:: Transportation Research. Part D, Transport and Environment, Journal Name: Transportation Research. Part D, Transport and Environment Vol. 117; ISSN 1361-9209

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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