Existing hybrid powertrain architectures, i.e., the connec- tions from engine and motors to the vehicle output shaft, are designed for particular vehicle applications, e.g., passenger cars or city buses, to achieve good fuel economy. For ef- fective electrification of new applications (e.g., heavy-duty trucks or racing cars), new architectures may need to be identified to accommodate the particular vehicle specifica- tions and drive cycles. The exploration of feasible architec- tures is combinatorial in nature and is conventionally based on human intuition. We propose a mathematically rigor- ous algorithm to enumerate all feasible powertrain archi- tectures, therefore enabling automated optimal powertrain design. The proposed method is general enough to account for single and multi-mode architectures as well as different number of planetary gears and powertrain components. We demonstrate through case studies that our method can gener- ate the complete sets of feasible designs, including the ones available in the market and in patents.


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    Title :

    Topology Generation for Hybrid Electric Vehicle Architecture Design



    Published in:

    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    50.15 Konstruktionslehre / 52.15 Maschinenelemente, Maschinenbaugruppen / 52.20 Antriebstechnik, Getriebelehre
    Local classification TIB:    770/5315/5330



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