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Optimization of Speed Profile and Energy Interaction at Stations for a Train Vehicle with On-board Energy Storage Device

  • Chaoxian Wu
  • , Shaofeng Lu*
  • , Fei Xue
  • , Lin Jiang
  • , Jie Yang
  • *Corresponding author for this work
    • Xi'an Jiaotong-Liverpool University
    • University of Liverpool
    • Jiangxi University of Science and Technology

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    8 Citations (Scopus)

    Abstract

    With the increasing application of railway transportation, energy consumption of railway transportation rises dramatically, which in turn undermines its sustainability. Optimization on train speed profile and use of regenerative energy is becoming a feasible and applicable approach to achieve an energy-efficient operation without changing existing infrastructures. Considering both dwelling at stations and running in the inter-station sections, the paper proposes an integrated optimization model for reducing net energy consumption from the viewpoint of energy interaction among train, substation and on-board energy storage device (ESD), based on which the optimal train speed profile is also found. The discharge/charge strategy of on-board ESD is explored and comparative case studies are given, under the assumption of higher efficiency from the on-board ESD, less net energy consumption can be achieved via energy interaction with substation. Through charging from substation the net energy consumption can be reduced, i.e. 0.2%, in the comparison.

    Original languageEnglish
    Title of host publication2018 IEEE Intelligent Vehicles Symposium, IV 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages361-366
    Number of pages6
    ISBN (Electronic)9781538644522
    DOIs
    Publication statusPublished - 18 Oct 2018
    Event2018 IEEE Intelligent Vehicles Symposium, IV 2018 - Changshu, Suzhou, China
    Duration: 26 Sept 2018 → 30 Sept 2018

    Publication series

    NameIEEE Intelligent Vehicles Symposium, Proceedings
    Volume2018-June

    Conference

    Conference2018 IEEE Intelligent Vehicles Symposium, IV 2018
    Country/TerritoryChina
    CityChangshu, Suzhou
    Period26/09/18 → 30/09/18

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

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