Dynamic Programming (DP) algorithm is used to find the optimal trajectories under Beijing cycle for the power management of synergic electric system which composed of batteries and super capacitors. Feasible rules are derived from analyzing the optimal trajectories, and it is shown that the highest contribution of Synergic Electric System (SES) to the HEV and the methods of how to get the best performance of it. Using the new Rule-based power management strategy adopted from the optimal results, it is easy to demonstrate the effectiveness of new strategies in further improving the fuel economy of the synergic hybrid system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Control strategy optimization research using Dynamic Programming method for Synergic Electric System on HEV


    Beteiligte:
    Yu, Yuan-bin (Autor:in) / Wang, Qing-nian (Autor:in) / Chen, Yong-jiu (Autor:in) / Hu, Chang-jian (Autor:in) / Wang, Bo-shi (Autor:in)


    Erscheinungsdatum :

    2009-06-01


    Format / Umfang :

    1477215 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Control Strategy Optimization research using Dynamic Programming Method for Synergic Electric System on HEV

    Yu, Y.-b. / Wang, Q.-n. / Chen, Y.-j. et al. | British Library Conference Proceedings | 2009


    The Research on Fuzzy Logic Control Strategy of Synergic Electric System of Hybrid Electric Vehicle

    Yu, Y.-b. / Wang, W.-h. / Zeng, X.-h. et al. | British Library Conference Proceedings | 2007



    The Research on Fuzzy Logic Control Strategy of Synergic Electric System of Hybrid Electric Vehicle

    Zhou, Nan / Wang, Qing-nian / Wang, Wei-hua et al. | SAE Technical Papers | 2007


    Modelling and Optimization of Energy Range Extended Electric Bus Strategy Management System Using Dynamic Programming

    Haryadi, Gunawan D. / Pramaishella, Septian N. I. / Haryanto, Ismoyo et al. | IEEE | 2019