COOLING STRUCTURE AND BATTERY SYSTEM INCLUDING THE SAME

    公开(公告)号:US20210194077A1

    公开(公告)日:2021-06-24

    申请号:US16855257

    申请日:2020-04-22

    Abstract: A cooling structure includes a plurality of bars arranged separately from each other and configured to press a battery cell, a support configured to support the plurality of bars, flow paths defined by a first surface of the battery cell and one pair of neighboring bars, and configured to guide a flow of a cooling medium, with the cooling medium being in direct contact with the first surface of the battery cell, and a separation wall provided in at least one of the flow paths and being configured to separate each of the at least one flow path into sub-flow paths.

    BATTERY SYSTEM
    7.
    发明申请

    公开(公告)号:US20210165048A1

    公开(公告)日:2021-06-03

    申请号:US16834044

    申请日:2020-03-30

    Abstract: A battery system includes a first battery cell including a first electrode terminal and a second electrode terminal, a connector configured to be electrically connected to the first electrode terminal, and a first circuit board detachably provided above the connector and configured to monitor a battery characteristic of the first battery cell. The connector includes a base including a terminal hole configured to be connected to the first electrode terminal and having a first plane, a connecting portion configured to be connected to the first circuit board and having a second plane non-planar with the first plane, and a stepped portion between the base and the connecting portion.

    METHOD AND DEVICE WITH BATTERY MODEL OPTIMIZATION

    公开(公告)号:US20230100216A1

    公开(公告)日:2023-03-30

    申请号:US17689359

    申请日:2022-03-08

    Abstract: A device with battery model optimization includes: a processor configured to perform optimization on a battery model for determining optimized parameter values of parameters of the battery model, wherein, to perform the optimization, the processor is configured to: select target parameters from among parameters of a battery model; set a current boundary condition for each of the target parameters; determine an optimized parameter value of each of the target parameters based on the set current boundary condition; set a subsequent boundary condition reduced from the current boundary condition based on the determined optimized parameter value; and determine a subsequent optimized parameter value of each of the target parameters based on the subsequent boundary condition.

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