MACHINE LEARNING DRIVEN FRAMEWORK FOR VIRTUAL POWER PLANT (VPP) ENERGY MANAGEMENT

    公开(公告)号:US20240359583A1

    公开(公告)日:2024-10-31

    申请号:US18139597

    申请日:2023-04-26

    发明人: Othman Elkhomri

    IPC分类号: B60L53/64 B60L53/63

    CPC分类号: B60L53/64 B60L53/63

    摘要: A method of managing a virtual power plant (VPP) and power distribution between a power grid, a battery storage system, an electric vehicle (EV) charging station, and a power plant, includes: obtaining a first data set including information from each of the power grid, the battery storage system, the EV charging station, and the power plant; training a VPP simulation model based on the first data set using a machine learning algorithm; obtaining a second data set including information from each of the power grid, the battery storage system, the EV charging station, and the power plant; determining power condition information based on the second data set and VPP simulation model; generating a power schedule, based on the VPP simulation model and the power condition information; and transmitting a command based on the power schedule.

    CHARGING AND DISCHARGING MANAGEMENT SYSTEM AND VEHICLE

    公开(公告)号:US20240348056A1

    公开(公告)日:2024-10-17

    申请号:US18421393

    申请日:2024-01-24

    摘要: A charging and discharging device that manages the charging and discharging of the power storage device and is used in a vehicle that includes a power storage device and a charging and discharging device that can charge the power storage device with electricity from the power grid and discharge the power storage device to the power grid. The charging and discharging management system is based on a first deterioration amount that is the deterioration amount of the power storage device when the power storage device is managed in the first state, and a second deterioration amount that is the actual deterioration amount of the power storage device. Adjustment control is performed to control the charging and discharging device so that the power storage device charges and discharges in order to adjust the supply and demand balance of the electric power grid.

    METHODS FOR USING CYCLE LIFE DATA TO PROTECT ELECTRIC VEHICLE BATTERY HEALTH DURING USE OF BIDIRECTIONAL CHARGER

    公开(公告)号:US20240262236A1

    公开(公告)日:2024-08-08

    申请号:US18636143

    申请日:2024-04-15

    摘要: The present invention describes a method using temperature data to protect battery health during bidirectional charging in conjunction with monetization activities. The method includes receiving temperature data and determining anticipated energy needs of a building. The temperature data includes at least the temperature of one or more electric vehicle batteries or information required to determine the temperature of the one or more electric vehicle batteries while the anticipated energy needs are relative to ambient air temperature. The method includes determining an amount of discharge of the one or more electric vehicle batteries required to offset the anticipated needs of the building by a predetermined amount and determining based on the temperature data whether discharging the one or more electric vehicle batteries would be harmful to the health of the one or more electric vehicle batteries. The method includes discharging the one or more electric vehicle batteries to offset the anticipated needs of the building.