This paper introduces a systematic problem, which investigates the power management for the range-extended electric bus using dynamic programming. The Chinese typical city bus driving cycle and the bus driving cycle of Harbin City, Heilongjiang Province, China are expressed as the driving cycles in the DP process. The simulation model is established by referring to parameters of the REEB which is developed by Tsinghua University. And the power split ratio is introduced to analysis the simulation result. The DP results shows that the working points shows obvious rule by referring to power split ratio. The energy consumption and the fuel consumption are significantly lower than the conventional bus.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Study on energy management strategy based on DP for range extended electric bus in Chinese driving cycles


    Beteiligte:
    Chen, Jingfu (Autor:in) / Wu, Junfeng (Autor:in) / Wu, Xiaogang (Autor:in) / Du, Jiuyu (Autor:in)


    Erscheinungsdatum :

    01.08.2014


    Format / Umfang :

    31375930 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Driving Cycle-Based Energy Management Strategy Development for Range-Extended Electric Vehicles

    Ozdemir, Abdulehad / Arpaci, Alaeddin / Kural, Ayhan et al. | SAE Technical Papers | 2023


    Energy Resources Management Strategy for Agricultural Range Extended Electric Vehicles

    Lee, Gye-Seong / Kim, Dong-Hyun / Han, Jong-Ho et al. | IEEE | 2019


    Instantaneous Optimization-based Energy Management Control Strategy for Extended Range Electric Vehicle

    Skugor, B. / Deur, J. / Society of Automotive Engineers | British Library Conference Proceedings | 2013



    Energy Management Strategy of Extended-Range Electric Bus Based on Model Predictive Control

    Guo, Chong / Cao, Deben / Zhao, Di et al. | SAE Technical Papers | 2021