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    Titel :

    Analytical Methodology to Derive a Rule-Based Energy Management System Enabling Fuel-Optimal Operation for a P24-Hybrid


    Beteiligte:
    Jungen, Mario (Autor:in) / Goerke, Daniel (Autor:in) / Langwiesner, Morris (Autor:in) / Schmiedler, Stefan (Autor:in) / Hofmann, Peter (Autor:in)

    Kongress:

    SAE Powertrains, Fuels & Lubricants Digital Summit



    Erscheinungsdatum :

    2021-01-01


    Format / Umfang :

    ALL-ALL



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Analytical Methodology to Derive a Rule-Based Energy Management System Enabling Fuel-Optimal Operation for a P24-Hybrid

    Jungen, Mario / Goerke, Daniel / Langwiesner, Morris et al. | British Library Conference Proceedings | 2021


    Analytical Methodology to Derive a Rule-Based Energy Management System Enabling Fuel-Optimal Operation for a Series Hybrid

    Jungen, Mario / Goerke, Daniel / Langwiesner, Morris et al. | British Library Conference Proceedings | 2020


    Analytical Methodology to Derive a Rule-Based Energy Management System Enabling Fuel-Optimal Operation for a Series Hybrid

    Geringer, Bernhard / Goerke, Daniel / Jungen, Mario et al. | SAE Technical Papers | 2020


    Analytical Methodology to Derive a Rule-Based Energy Management System Enabling Fuel-Optimal Operation for a P24-Hybrid

    Goerke, Daniel / Jungen, Mario / Langwiesner, Morris et al. | SAE Technical Papers | 2021


    A near-optimal rule-based energy management strategy for medium duty hybrid truck

    Biasini,R. / Onori,S. / Rizzoni,G. et al. | Kraftfahrwesen | 2013