The learning-based energy management strategy (EMS) is able to optimize the control of the heterogeneous multi-energy drive system (HMDS) by learning relevant offline data or online data and centralized training, and therefore realizes lower consumption and higher efficiency. Moreover, it is equally of great important for HMDS to select an appropriate drive structure as it is to develop a suitable energy management strategy. In this paper, domestic and overseas development situation of HMDS is discussed. Moreover, it describes the drive structure of the present HMDS and then introduces the research status of two learning-based EMS in HMDS. In addition, the actual implementation prospect and challenges of learning-based energy management strategy are proposed by further analysis.


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    Titel :

    A Survey: Learning-Based Energy Management Strategy for Heterogeneous Multi-energy Drive System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liu, Baoming (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Ren, Xiaoyu (Autor:in) / Zhang, Xinyue (Autor:in) / Duan, Dangwei (Autor:in) / Diao, Lijun (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    2020-04-08


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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