Abstract In this two-part paper, a topological analysis of powertrains for refuse-collecting vehicles (RCVs) based on simulation of different architectures (internal combustion engine, hybrid electric, and hybrid hydraulic) on real routes is proposed. In this second part, three different hybrid electric powertrain architectures are proposed and modeled. These architectures are based on the use of fuel cells, ultracapacitors, and batteries. A calculation engine, which is specifically designed to estimate energy consumption, respecting the original performance as the original internal combustion engine (ICE), is presented and used for simulations and component sizing. Finally, the overall performance of the different architectures (hybrid hydraulic, taken from the first paper part, and hybrid electric, estimated in this second part) and control strategies are summarized in a fuel and energy consumption table. Based on this table, an analysis of the different architecture performance results is carried out. From this analysis, a technological evolution of these vehicles in the medium- and long terms is proposed.


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    Title :

    Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain


    Contributors:
    Soriano, F. (author) / Moreno-Eguilaz, M. (author) / Alvarez, J. (author) / Riera, J. (author)

    Published in:

    Publication date :

    2016-06-30


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain

    Soriano, F. / Moreno-Eguilaz, M. / Alvarez, J. et al. | British Library Online Contents | 2016





    Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part I: Hybrid hydraulic powertrain

    Soriano, F. / Moreno-Eguilaz, M. / Alvarez, J. et al. | British Library Online Contents | 2016