Method and system for real-time, or near real-time, balancing of an electrical distribution grid

    公开(公告)号:US12132314B2

    公开(公告)日:2024-10-29

    申请号:US18066386

    申请日:2022-12-15

    发明人: Zhongyi Quan Hao Tian

    摘要: Various embodiments disclosed herein generally relate to methods and systems for real-time, or near real-time, balancing of an electrical distribution grid. According to at least one embodiment, there is provided one or more local balancing systems, each comprising: an energy storage unit (ESU) operable to store direct current (DC) power; a power converter comprising a DC side and an AC side, the power converter being operable to convert between single-phase (AC) power and DC power, wherein the DC side is electrically coupled to the ESU and the AC side is electrically couplable to at least one secondary distribution block in a secondary distribution grid; and a local controller coupled to the power converter and operable to control the power converter to convert between DC power and AC power.

    Electric vehicle charging control system

    公开(公告)号:US12122257B1

    公开(公告)日:2024-10-22

    申请号:US18597148

    申请日:2024-03-06

    发明人: Xianxi Liu

    摘要: An electric vehicle charging control system, comprising: an acquisition module, to obtain first power data of an output terminal of a power supply station and second power data of a charging terminal of an electric vehicle; a conversion module, configured to conduct power conversion analysis on the first power data and the second power data, and obtain first power conversion data; a judgment module, to judge whether the voltage data is less than a preset target voltage value; a processing module, configured to collect second power conversion data and conduct temperature difference analysis on the output terminal of the power supply station and the charging terminal of the electric vehicle; and a control module, to control charging cycle of the output terminal of the power supply station and the charging terminal of the electric vehicle, and switch the output power supply of the output terminal of the power supply station.

    SYSTEMS AND METHODS FOR OPTIMAL CONTROL OF ELECTRIC VEHICLE FLEET AND CHARGING INFRASTRUCTURE

    公开(公告)号:US20240343149A1

    公开(公告)日:2024-10-17

    申请号:US18612663

    申请日:2024-03-21

    申请人: BluWave Inc.

    IPC分类号: B60L53/62 G05D1/692

    CPC分类号: B60L53/62 G05D1/692

    摘要: Systems and methods for providing control in relation to multiple EVs, for example an EV fleet, are provided. A system generates charging control information for EVs based on a receding horizon optimization. The optimization may be based on EV charging goal information related to the EVs including information relating to target charging completion time, and target EV battery state of charge (SoC) information at target charging completion times. The optimization may also be based on prediction information relating to EVs predicted to become available for charging during the optimization horizon. The charging control information may comprise indications of individual EVs to charge during a given time interval during the horizon. The system utilizes various available information as well as predicted data to provide more optimal control to EVs, thereby taking advantage of previously missed opportunities for enhanced optimization.

    Goal-based electric vehicle charging

    公开(公告)号:US12109909B2

    公开(公告)日:2024-10-08

    申请号:US17885698

    申请日:2022-08-11

    摘要: A system in a vehicle includes memory to store driving history and charging history of the vehicle. The system also includes a processor to obtain a predicted battery life of one or more battery packs of the vehicle based on the driving history and the charging history, obtain a targeted battery life of a user indicating a mileage goal for a specific charge capacity of the one or more battery packs, and determine a difference between the predicted battery life and the targeted battery life. The processor solves an optimization problem to determine a future charging strategy to achieve the targeted battery life and controls an onboard charging system or an external charger based on the future charging strategy or controls routing or navigation based on the future charging strategy.