WIRELESS CHARGING AUTHENTICATION AND PAYMENT SYSTEM

    公开(公告)号:US20240202843A1

    公开(公告)日:2024-06-20

    申请号:US18067836

    申请日:2022-12-19

    申请人: VETUREX INC

    摘要: A wireless charging authentication and payment system includes an electronic device configured for wirelessly receiving electromagnetic energy in accordance with a charge request to charge a battery of the electronic device, and an energy supply device configured to supply the electromagnetic energy for wirelessly charging the electronic device according to the charge request. The system also includes an electronic controller configured to receive the charge request and to transmit the charging command to the energy supply device to wirelessly supply the electromagnetic energy to the electronic device according to the charge request. The electronic controller further is configured to process a payment for the electromagnetic energy that is supplied by the energy supply device and received by the electronic device for wirelessly charging the battery of the electronic device.

    FUEL CELL POWER SOURCE MANAGEMENT DEVICE AND FUEL CELL POWER SOURCE MANAGEMENT METHOD

    公开(公告)号:US20240193631A1

    公开(公告)日:2024-06-13

    申请号:US18553861

    申请日:2021-12-28

    摘要: A fuel cell power-source management device and a fuel cell power-source management method capable of utilizing recovered boil-off gas for a more appropriate use. The fuel cell power-source management device manages a fuel cell power-source having a liquid hydrogen tank and a recovery device for boil-off gas generated in the liquid hydrogen tank, and includes: a use information acquisition unit that acquires boil-off gas use information including information on profit to be obtained when boil-off gas is used for each use of a plurality of uses of the boil-off gas recovered by the recovery device; and a priority determination unit that determines priority of the uses of the boil-off gas recovered by the recovery device based on the boil-off gas use information.

    ELECTRIC VEHICLE CHARGING PLANNING METHOD AND DEVICE

    公开(公告)号:US20240190282A1

    公开(公告)日:2024-06-13

    申请号:US18584689

    申请日:2024-02-22

    摘要: A vehicle charging planning method includes obtaining charging requests from a plurality of target vehicles, obtaining at least two apparatus transporters with fully charged mobile charging apparatuses, in response to a number of the target vehicles being greater than a number of fully charged mobile charging apparatuses in each apparatus transporter, determining whether driving paths of the at least two apparatus transporters to positions of the target vehicles have an overlapping position, in response to the driving paths having the overlapping position, exchanging the mobile charging apparatuses of the at least two apparatus transporters at the overlapping position and determining a target apparatus transporter, and instructing the target transporter to travel to positions of the target vehicles and providing charging services to the target vehicles using the mobile charging apparatuses on the target apparatus transporter.

    Two-stage stochastic programming based V2G scheduling model for operator revenue maximization

    公开(公告)号:US20240185150A1

    公开(公告)日:2024-06-06

    申请号:US18282413

    申请日:2021-04-22

    发明人: Yuping Huang Chen Hu

    IPC分类号: G06Q10/0631 G06Q50/06

    CPC分类号: G06Q10/06315 G06Q50/06

    摘要: A two-stage stochastic programming based V2G scheduling for operator revenue maximization is provided. Said method aims for the charge/discharge scheduling of electric vehicles, and establishes, based on a distributed renewable energy-storage-EVs charge/discharge power system, a V2G two-stage nonlinear stochastic programming model combining the V2G scheduling randomness with the renewable energy power generation randomness. Said model is converted into a mixed integer linear programming model (MILP) by means of constraint linearization. Furthermore, in order to enable random scenarios to cover uncertainty factors comprehensively, a scenario generation and combination method is designed to combine the V2G scheduling resources with the randomness of the renewable energy level. The V2G two-stage stochastic programming model solves an optimal charge/discharge plan of the electric vehicles seeking to adapt the randomness of the V2G scheduling layer and the renewable energy randomness, and increases the revenue of said model participating in power assistance services.