The dynamic programming (DP) theory is applied in designing energy management control strategy of Hybrid Tracked Vehicle. As hybrid tracked vehicles use dual-energy sources, the engine-generator sets and power batteries. We applied the dynamic programming theory to optimize the distribution between the dual-energy sources, so we can make the fuel consumption minimize. Through the analysis of the optimization results, near-optimal rules are extracted. Then we do some simulations to verify the control rules based on MATLAB software. It was found that the fuel economic performance improved significant, compared to former rule-based control strategy.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Energy Management Strategy for Hybrid Electric Tracked Vehicle Based on Dynamic Programming


    Beteiligte:
    Chen, Rui (Autor:in) / Zou, Yuan (Autor:in) / Hou, Shi-jie (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    9 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Optimal energy management strategy for hybrid electric tracked vehicles

    Zou,Y. / Sun,F.C. / Zhang,C.N. et al. | Kraftfahrwesen | 2012


    Optimal energy management strategy for hybrid electric tracked vehicles

    Zou, Yuan / Sun, Feng-Chun / Zhang, Cheng-Ning et al. | Tema Archiv | 2012


    Energy Management Strategy of Hybrid Electric Vehicle using Stochastic Dynamic Programming

    Lee, Heeyun / Kim, Hyunsup / Kim, Seok-Joon et al. | SAE Technical Papers | 2015


    Energy Management Strategy of Hybrid Electric Vehicle using Stochastic Dynamic Programming

    Lee, Heeyun / Cha, Suk Won / Kim, Hyunsup et al. | British Library Conference Proceedings | 2015