To make rail transport much greener, the fuel cell system has been applied in some train vehicles. The paper is aimed at establishing an integrated mixed-integer linear programming (MILP) model to optimize operations of the trains with the fuel cell system. Train motion analysis and physical constraints setup are given to illustrate the model. The main power-efficiency characteristic of the fuel cell system is also modeled in the research. The optimal train speed trajectory is obtained by applying the proposed approach, where the hydrogen consumption of the fuel cell is minimized. To prove the robustness of the model, the power profiles of scenarios with normal and extreme power-efficiency characteristics are compared, and the results show influences of these characteristics on the train operations.


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    Title :

    Hydrogen Consumption Minimization for Fuel Cell Trains Based on Speed Trajectory Optimization


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Qin, Yong (editor) / Liu, Baoming (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Huang, Zheng (author) / Wu, Chaoxian (author) / Lu, Shaofeng (author) / Xue, Fei (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-08


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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