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作者:

He, Yi (He, Yi.) | Liu, Zhaocai (Liu, Zhaocai.) | Song, Ziqi (Song, Ziqi.)

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SSCI EI Scopus SCIE

摘要:

Studies on the electric bus system planning problem have typically focused exclusively on either the deployment of charging infrastructure or the scheduling of charging events; few have examined the impact of charging facility deployment on charging activities. Considering the interdependence of system design and operational strategies, this study proposes a two-phase optimization framework for charging infrastructure planning and charging scheduling for bat-tery electric bus systems. An integrated optimization model is first developed to simultaneously optimize charger deployment, on-board battery capacity, and charging schedules. A charging scheduling model is further proposed and a rolling horizon approach is utilized in the second phase to optimize the real-time charging scheduling of electric buses. Compared to existing electric bus system planning methods, the proposed integrated model can reduce the total system cost by 19.5%. In addition, compared to uncontrolled charging, the proposed rolling horizon -based charging strategy can reduce the total charging cost by 68.3%.

关键词:

Integrated optimization Battery electric buses Rolling horizon Charging infrastructure planning Charging scheduling

作者机构:

  • [ 1 ] [He, Yi]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [He, Yi]Utah State Univ, Civil & Environm Engn, Logan, UT 84322 USA
  • [ 3 ] [Liu, Zhaocai]Utah State Univ, Civil & Environm Engn, Logan, UT 84322 USA
  • [ 4 ] [Song, Ziqi]Utah State Univ, Civil & Environm Engn, Logan, UT 84322 USA
  • [ 5 ] [Liu, Zhaocai]Natl Renewable Energy Lab, AI Learning & Intelligent Syst Grp, Golden, CO 80401 USA

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来源 :

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

ISSN: 1361-9209

年份: 2022

卷: 111

7 . 6

JCR@2022

7 . 6 0 0

JCR@2022

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:27

JCR分区:1

中科院分区:2

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SCOPUS被引频次: 61

ESI高被引论文在榜: 7 展开所有

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