Electric buses (EBs) have the advantages of lower noise, higher driving stability and less emissions, which significantly reduce traffic related air pollutants and bus company operation costs. However, the short driving range is one of its tough problems. This study aims to develop an energy-saving optimization model for a pure electric bus traveling between two continuous stations to reduce energy consumption. Firstly, the state of an electric bus is divided into three steps including time expression, state of motion, and the calculation of energy consumption. Secondly, considering punctuality indicators and comfort of passengers, the optimization model for saving energy is established and solved by Immune Algorithm. Finally, the case study based on a real electric bus route in Meihekou City is conducted to verify the optimization model. The results show that the optimization model can reduce energy consumption effectively no matter whether the traffic light of the intersection is green or red.


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    Titel :

    Control Methods for Energy-Saving Electric Bus Operation


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Bie, Yiming (Herausgeber:in) / Gao, Kun (Herausgeber:in) / Howlett, Robert J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Chen, Yuwei (Autor:in) / Wang, Linhong (Autor:in)

    Kongress:

    Proceedings of KES-STS International Symposium ; 2023 ; Rome, Italy June 14, 2023 - June 16, 2023



    Erscheinungsdatum :

    15.06.2023


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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