The electrification of off-highway machines are increasing significantly. Advanced functionalities, beneficial energy efficiency and effectiveness are only a few advantages of electric propulsion systems. To control these complex systems in varying environments intelligent algorithms at system level are needed. This paper addresses the topic of machine learning algorithms applied to off-highway machines and presents a methodology based on artificial neural networks to identify and recognize recurrent load cycles and work tasks. To gain efficiency and effectiveness benefits the recognized pattern settings are applied to the electric propulsion system to adjust relevant parameters online. A dynamic adaption of the DC-link voltage based on the operating points of the machine processes is identified as such a parameter.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency


    Weitere Titelangaben:

    Sae Int. J. Commer. Veh


    Beteiligte:

    Kongress:

    SAE 2015 Commercial Vehicle Engineering Congress ; 2015



    Erscheinungsdatum :

    2015-09-29


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Self-learning control strategy of electrified off-highway machines to optimize energy efficiency

    Pohlandt,C. / Geimer,M. / Karlsruhe Inst.of Technol.,DE | Kraftfahrwesen | 2015


    A Control Strategy for Turbine Electrified Energy Management

    Kratz, Jonathan L. / Culley, Dennis E. / Thomas, George L. | IEEE | 2019


    A CONTROL STRATEGY FOR TURBINE ELECTRIFIED ENERGY MANAGEMENT

    Kratz, J. L. / Culley, D. E. / Thomas, G. L. | TIBKAT | 2019


    A Control Strategy for Turbine Electrified Energy Management

    Kratz, Jonathan L. / Culley, Dennis E. / Thomas, George L. | AIAA | 2019


    Insulating pantograph head of electrified highway pantograph

    LI BO / HUANG SIJUN / ZHANG QI et al. | Europäisches Patentamt | 2024

    Freier Zugriff