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    STATE-OF-CHARGE ESTIMATOR FOR LITHIUM-ION BATTERY USING HYSTERESIS MODEL
    73.
    发明申请
    STATE-OF-CHARGE ESTIMATOR FOR LITHIUM-ION BATTERY USING HYSTERESIS MODEL 有权

    公开(公告)号：US20250110178A1

    公开(公告)日：2025-04-03

    申请号：US18480129

    申请日：2023-10-03

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Jun-mo Kang ,  Hanho Yun

    IPC: G01R31/367 ,  G01R31/364 ,  G01R31/3842 ,  G01R31/387 ,  H01M10/0525 ,  H01M10/42

    Abstract: An electric vehicle (EV), and systems and methods are introduced in aspects of the disclosure that use a battery management system (BMS) for one or more Lithium ion (Li+) battery cells. The BMS includes an apparatus coupled with outer terminals of the one or more Li+ battery cells and configured to estimate an open circuit voltage (VOC) across the Li+ battery cells. The apparatus further includes a memory, at least one processor coupled with the memory. The at least one processor is configured, when executing code stored in the memory, to produce a state of charge (SOC) observer, the SOC observer including a hysteresis model to account for hysteresis in the one or more Li+ battery cells.

    SYSTEMS AND METHODS FOR CREATING A POWDER REMOVAL CAP VIA ADDITIVE MANUFACTURING
    74.
    发明申请
    SYSTEMS AND METHODS FOR CREATING A POWDER REMOVAL CAP VIA ADDITIVE MANUFACTURING 有权

    公开(公告)号：US20250108436A1

    公开(公告)日：2025-04-03

    申请号：US18476717

    申请日：2023-09-28

    Applicant: GM Global Technology Operations LLC

    Inventor： Andrew Thomas Cunningham ,  Ante Tony Lausic ,  Adam Golembeski ,  Patrick J. Eding

    IPC: B22F10/73 ,  B22F10/68 ,  B33Y40/20

    Abstract: A method for capturing trapped powder from a part during an additive manufacturing process, the method comprising defining parameters for a part, the part defining an interior passageway defined by interior sidewalls, defining parameters for a powder removal cap, the powder removal cap comprising a body portion and a thin radial membrane connected to the interior sidewalls of the part, simultaneously creating the part and the powder removal cap via additive manufacturing, wherein the powder removal cap is created within the interior passageway and, upon completion of the creation of the part and the powder removal cap, the powder removal cap traps excess powder within the interior passageway, removing the powder removal cap from the interior passageway by breaking the radial membrane from the interior sidewalls to permit access to the interior passageway, and capturing the excess powder within the interior passageway.

    Electronically secured package delivery
    75.
    发明授权
    Electronically secured package delivery 有权

    公开(公告)号：US12265604B2

    公开(公告)日：2025-04-01

    申请号：US18180207

    申请日：2023-03-08

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Adam L. Wright ,  Russell A. Patenaude ,  Matthew E. Gilbert-Eyres ,  Eric T. Hosey

    IPC: G06F21/44 ,  G06Q10/083

    Abstract: Securing package delivery via unmanned aerial vehicles (UAVs), drones, robots, etc. is contemplated. The package delivery may include assigning a provenance certificate to a package scheduled for drone delivery, determining a plurality of vehicles to be used in transporting the package to an autonomous receiver, determining credentials assigned to each of the vehicles, pairing the credentials with the package to generate a delivery pairing, the delivery pairing identifying the credentials of the vehicles authorized to transport the package, and transporting the delivery pairing to each of the vehicles to prevent vehicles having certificates omitted from the delivery pairing from transporting the package.

    IMPACT MONITORING SYSTEM
    76.
    发明申请
    IMPACT MONITORING SYSTEM 有权

    公开(公告)号：US20250104491A1

    公开(公告)日：2025-03-27

    申请号：US18475115

    申请日：2023-09-26

    Applicant: GM Global Technology Operations LLC

    Inventor： Kurt Chamberlin ,  Matthew Edward Gilbert-Eyres ,  Gayanie Jayasinghe ,  Noah Stone

    IPC: G07C5/08 ,  G01P1/07 ,  G07C5/00 ,  G07C5/10

    Abstract: An impact monitoring system for a vehicle includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations performed by the data processing hardware include receiving sensor data from a plurality of sensors disposed along the vehicle and identifying an impact event based on the sensor data. The sensor data and the identified impact event are compared with a series of impact thresholds, and an impact score is determined based on the comparison of the sensor data and the identified impact event with the series of impact thresholds. The impact score is compared with an impact score hierarchy, the impact score hierarchy corresponding to the series of impact thresholds, and the impact event is monitored using updated sensor data.

    SYSTEM FOR FUSING TWO OR MORE VERSIONS OF MAP DATA BASED ON SPATIAL KALMAN FILTERING
    77.
    发明申请
    SYSTEM FOR FUSING TWO OR MORE VERSIONS OF MAP DATA BASED ON SPATIAL KALMAN FILTERING 有权

    公开(公告)号：US20250102320A1

    公开(公告)日：2025-03-27

    申请号：US18473607

    申请日：2023-09-25

    Applicant: GM Global Technology Operations LLC

    Inventor： Shuqing Zeng ,  Fan Bai ,  Bo Yu ,  Gui Chen ,  Cem U. Saraydar ,  Mason David Gemar

    IPC: G01C21/00 ,  G01C21/32

    Abstract: A system for fusing two or more versions of map data together includes one or more central computers that receive road network data representing a road network for a predefined geofenced area. The central computers receive road network data that includes a discrete random curve that represents lane markings. The discrete random curve includes a plurality of state vectors that are each defined by a respective location and tangent angle. The central computers estimate the position for the state vectors of the discrete random curve based on a signed distance and the tangent angle by minimizing a spatial Kalman filter cost function and execute a Kalman smoothening function to estimate the position and the tangent angle for the state vectors that are part of the discrete random curve, where the state vectors each represent a map point of the fused map data.

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