Increasingly, demanding environmental standards reflect the need for improved energy efficiency and reduced externalities in the transportation sector. Reference driving cycles provide standard speed profiles against which future developments and innovations may be tested. In the paper, we develop such profiles for a class of electric L-category vehicles, which are anticipated to play an increasing future role in urban areas. While such driving cycles exist for regular L-category vehicles, these may not be suitable in the case of electric vehicles, due to their power output limitations. We present a methodology for deriving these new driving cycles, developed from empirically deduced power relationships, before demonstrating their application under different assumptions on the terrain and vehicle characteristics. The applications demonstrate the feasibility of the method in developing appropriate driving patterns for alternative real-world contexts. On flat terrain, the adjustments made to cope with the power limitations of L-EV do not introduce significant differences in energy consumption, suggesting that the certification does not require extensive modification. However, when considering road slope, differences of up to 5% in energy use and up to 10% in regenerated energy were observed, showing the importance of the developed method for assessing vehicle performance in real-world driving. ; info:eu-repo/semantics/publishedVersion


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Systematic method for developing reference driving cycles appropriate to electric L-category vehicles


    Beteiligte:
    Watling, David (Autor:in) / Baptista, Patrícia (Autor:in) / Duarte, Gonçalo (Autor:in) / Gao, Jianbing (Autor:in) / Chen, Haibo (Autor:in)

    Erscheinungsdatum :

    2022-05-09


    Anmerkungen:

    1996-1073



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Selection of driving cycles for electric vehicles of the 1990s

    Liles, A.W. / Fettermann, G.P. | Tema Archiv | 1976


    LVQ Neural Network Based Driving Cycles Recognition for Hybrid Electric Vehicles

    Xu, S.J. | British Library Conference Proceedings | 2013


    Electric motor control for hybrid electric vehicles based on different driving cycles

    Hou, Yi / Ravey, Alexandre / Bouquain, David et al. | IEEE | 2013



    Artificial driving cycles for the evaluation of energetic needs of electric vehicles

    Chrenko, Daniela / Garcia Diez, Irene / Le Moyne, Luis | IEEE | 2012