Urban air mobility refers to an envisaged air taxi service, using small, autonomous, vertical-takeoff-and-landing, battery-powered electric aircraft. A conceptual design and optimization tool for urban air mobility, including vehicle, mission, and cost models, is presented in this paper. The tool uses geometric programming, a class of optimization problems with extremely fast solve times and for which global optimality is guaranteed. The tool is used to conduct a study of urban air mobility from a vehicle design perspective. Vehicle configurations with a higher lift-to-drag ratio, but a higher disk loading, generally weigh less and cost less to operate. The battery and the pilot are identified as the two main cost drivers; strategies for reducing these two costs are discussed. A case study is conducted on New York City airport transfers; trip times and costs are compared with those of current helicopter air taxi operations and with car ride-sharing. Sensitivity analyses are presented with respect to reserve requirements, mission range, and battery energy density. A battery energy density of 400    Wh / kg is shown to be a critical enabling value for urban air mobility.


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    Titel :

    Vehicle Design and Optimization Model for Urban Air Mobility


    Beteiligte:
    Brown, Arthur (Autor:in) / Harris, Wesley L. (Autor:in)

    Erschienen in:

    Journal of Aircraft ; 57 , 6 ; 1003-1013


    Erscheinungsdatum :

    2020-10-29


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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