Optimizing electric bus charging infrastructure considering power matching and seasonality
In this research, a novel optimization model for electric bus charging station location, charger configuration, charging time and vehicle flow is developed considering power matching and seasonality. The seasonality highlights the effect of air temperature on the battery performances of electric buses. Power matching between batteries and chargers jointly determines the maximum battery acceptance rates of electric buses, and this consideration results in nonlinear constraints. A surrogate-based optimization approach is proposed to solve the mixed integer nonlinear program efficiently. The optimization model is demonstrated on a sub-transit network including 17 bus lines in Beijing. The results reveal significant performance differences regarding vehicle scheduling and charging among different bus fleets in the BEB-based transit system. The interesting findings on the distribution of vehicle flows for charging provide strong evidence to consider powering match in the bus charging infrastructure layout.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Liu, Xiaohan
- Qu, Xiaobo
- Ma, Xiaolei
- Publication Date: 2021-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 100
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Buses; Electric batteries; Electric power; Electric vehicle charging; Electric vehicles; Infrastructure
- Geographic Terms: Beijing (China)
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01785469
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 25 2021 9:16AM