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    Systems and Methods for Battery Capacity Management in a Fleet of UAVs
    1.
    发明公开
    Systems and Methods for Battery Capacity Management in a Fleet of UAVs 审中-公开

    公开(公告)号：US20230294552A1

    公开(公告)日：2023-09-21

    申请号：US18068862

    申请日：2022-12-20

    申请人： Wing Aviation LLC

    发明人： Matthew Nubbe

    IPC分类号： B60L58/13 ,  G01R31/387 ,  B64C39/02 ,  G01R31/392 ,  B60L58/16

    CPC分类号： B60L58/13 ,  G01R31/387 ,  B64C39/024 ,  G01R31/392 ,  B60L58/16 ,  H01M2220/20 ,  B64U50/19

    摘要： A method includes determining a threshold capacity associated with at least a first unmanned aerial vehicle (UAV) and a second UAV. The method includes initially setting a target charge voltage of a first battery of the first UAV to less than a full charge voltage to limit a state of charge of the first battery based on the threshold capacity. The method includes, over a lifetime of the first battery of the first UAV, periodically comparing a full charge capacity of the first battery to the threshold capacity. The method includes, based on the comparing, periodically adjusting the target charge voltage of the first battery, such that, as the full charge capacity of the first battery decreases with age, the target charge voltage increases towards the full charge voltage of the first battery.

    ACTIVE THERMAL CONTROL OF UAV ENERGY STORAGE UNITS
    2.
    发明公开
    ACTIVE THERMAL CONTROL OF UAV ENERGY STORAGE UNITS 审中-公开

    公开(公告)号：US20230187730A1

    公开(公告)日：2023-06-15

    申请号：US17548153

    申请日：2021-12-10

    申请人： WING Aviation LLC

    发明人： Matthew Nubbe

    IPC分类号： H01M10/6563 ,  H01M10/613 ,  H01M10/625 ,  H01M10/63 ,  H01M10/6555

    CPC分类号： H01M10/6563 ,  H01M10/613 ,  H01M10/625 ,  H01M10/63 ,  H01M10/6555 ,  H01M2220/20

    摘要： Systems, devices, and techniques for active thermal control of energy storage units are described. In some embodiments, an unmanned aerial vehicle (UAV) includes a battery pack. The battery pack includes a plurality of battery cells and an enclosure coupled with the plurality of battery cells to physically retain the plurality of battery cells in an arrangement. The arrangement defines a void space between the plurality of battery cells. The UAV also includes a cooling system configured to cool the battery cells. The cooling system includes a source of forced convection fluidically coupled with the battery pack to drive a cooling fluid through the void space. The cooling system also includes a cooling controller electrically coupled with the source of forced convection to controllably activate the source of forced convection.

    Systems and Methods for Battery Capacity Management in a Fleet of UAVs
    3.
    发明申请
    Systems and Methods for Battery Capacity Management in a Fleet of UAVs 有权

    公开(公告)号：US20220134903A1

    公开(公告)日：2022-05-05

    申请号：US17083293

    申请日：2020-10-29

    申请人： Wing Aviation LLC

    发明人： Matthew Nubbe

    IPC分类号： B60L58/13 ,  G01R31/387 ,  B64C39/02 ,  G01R31/392 ,  B60L58/16

    摘要： A method includes determining a threshold capacity associated with at least a first unmanned aerial vehicle (UAV) and a second UAV. The method includes initially setting a target charge voltage of a first battery of the first UAV to less than a full charge voltage to limit a state of charge of the first battery based on the threshold capacity. The method includes, over a lifetime of the first battery of the first UAV, periodically comparing a full charge capacity of the first battery to the threshold capacity. The method includes, based on the comparing, periodically adjusting the target charge voltage of the first battery, such that, as the full charge capacity of the first battery decreases with age, the target charge voltage increases towards the full charge voltage of the first battery.

    Anticipatory dispatch of UAVs to pre-staging locations
    4.
    发明授权
    Anticipatory dispatch of UAVs to pre-staging locations 有权

    公开(公告)号：US11256271B2

    公开(公告)日：2022-02-22

    申请号：US15930054

    申请日：2020-05-12

    申请人： Wing Aviation LLC

    发明人： Jesse Blake ,  James Schmalzried ,  Scott Velez ,  Andre Prager ,  Eric Teller ,  Matthew Nubbe

    IPC分类号： G05D1/10 ,  B64C39/02 ,  G05D1/00 ,  G06Q50/30 ,  G06Q10/06 ,  G06Q10/08

    摘要： An example method involves determining an expected demand level for a first type of a plurality of types of transport tasks for unmanned aerial vehicles (UAVs), the first type of transport tasks associated with a first payload type. Each of the UAVs is physically reconfigurable between at least a first and a second configuration corresponding to the first payload type and a second payload type, respectively. The method also involves determining based on the expected demand level for the first type of transport tasks, (i) a first number of UAVs having the first configuration and (ii) a second number of UAVs having the second configuration. The method further involves, at or near a time corresponding to the expected demand level, providing one or more UAVs to perform the transport tasks, including at least the first number of UAVs.

    Active thermal control of UAV energy storage units
    6.
    发明授权
    Active thermal control of UAV energy storage units 有权

    公开(公告)号：US12119472B2

    公开(公告)日：2024-10-15

    申请号：US17548153

    申请日：2021-12-10

    申请人： WING Aviation LLC

    发明人： Matthew Nubbe

    IPC分类号： H01M10/6563 ,  H01M10/613 ,  H01M10/625 ,  H01M10/63 ,  H01M10/6555

    CPC分类号： H01M10/6563 ,  H01M10/613 ,  H01M10/625 ,  H01M10/63 ,  H01M10/6555 ,  H01M2220/20

    摘要： Systems, devices, and techniques for active thermal control of energy storage units are described. In some embodiments, an unmanned aerial vehicle (UAV) includes a battery pack. The battery pack includes a plurality of battery cells and an enclosure coupled with the plurality of battery cells to physically retain the plurality of battery cells in an arrangement. The arrangement defines a void space between the plurality of battery cells. The UAV also includes a cooling system configured to cool the battery cells. The cooling system includes a source of forced convection fluidically coupled with the battery pack to drive a cooling fluid through the void space. The cooling system also includes a cooling controller electrically coupled with the source of forced convection to controllably activate the source of forced convection.

    Distribution of aerial vehicle transport capacity based on item-provider performance metrics
    7.
    发明授权
    Distribution of aerial vehicle transport capacity based on item-provider performance metrics 有权

    公开(公告)号：US11010851B2

    公开(公告)日：2021-05-18

    申请号：US15852872

    申请日：2017-12-22

    申请人： Wing Aviation LLC

    发明人： Theran Cochran ,  Matthew Nubbe ,  Kevin Jenkins

    IPC分类号： G06Q50/28 ,  B64C39/02 ,  G06Q10/06

    摘要： Disclosed herein are methods and systems that can help an aerial transport service provider (ATSP) determine how to distribute and redistribute unmanned aerial vehicles (UAVs) amongst a plurality of UAV deployment stations located throughout a geographic area. In accordance with example embodiments, the ATSP system can take one or more performance metrics for item providers into account when determining how much UAV transport capacity to allocate to different item providers for a given time period. The ATSP can then determine how to distribute UAVs amongst different UAV nests in advance of and/or during the given time period, such that each item provider's allocated UAV transport capacity is available from the UAV nest or nest(s) that serve each item provider during the given time period.

    USING MACHINE LEARNING TECHNIQUES TO ESTIMATE AVAILABLE ENERGY FOR VEHICLES
    8.
    发明申请
    USING MACHINE LEARNING TECHNIQUES TO ESTIMATE AVAILABLE ENERGY FOR VEHICLES 审中-公开

    公开(公告)号：US20200218270A1

    公开(公告)日：2020-07-09

    申请号：US16241204

    申请日：2019-01-07

    申请人： Wing Aviation LLC

    发明人： Kaiwen Gu ,  Matthew Nubbe

    IPC分类号： G05D1/02 ,  B60L58/12 ,  G06N3/08 ,  G06N5/04 ,  G06N20/00 ,  G05D1/00 ,  G01C21/34

    摘要： Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.

    Anticipatory Dispatch of UAVs to Pre-staging Locations
    9.
    发明申请
    Anticipatory Dispatch of UAVs to Pre-staging Locations 审中-公开

    公开(公告)号：US20190196512A1

    公开(公告)日：2019-06-27

    申请号：US15851693

    申请日：2017-12-21

    申请人： Wing Aviation LLC

    发明人： Jesse Blake ,  James Schmalzried ,  Scott Velez ,  Andre Prager ,  Eric Teller ,  Matthew Nubbe

    IPC分类号： G05D1/10 ,  B64C39/02 ,  G05D1/00 ,  G06Q10/06 ,  G06Q50/30

    摘要： An example method involves determining an expected demand level for a first type of a plurality of types of transport tasks for unmanned aerial vehicles (UAVs), the first type of transport tasks associated with a first payload type. Each of the UAVs is physically reconfigurable between at least a first and a second configuration corresponding to the first payload type and a second payload type, respectively. The method also involves determining based on the expected demand level for the first type of transport tasks, (i) a first number of UAVs having the first configuration and (ii) a second number of UAVs having the second configuration. The method further involves, at or near a time corresponding to the expected demand level, providing one or more UAVs to perform the transport tasks, including at least the first number of UAVs.