AUTOMATED COIN CELL BATTERY MANUFACTURING SYSTEM

    公开(公告)号:US20240088404A1

    公开(公告)日:2024-03-14

    申请号:US17942809

    申请日:2022-09-12

    CPC classification number: H01M6/005 H01M50/109 H01M50/167

    Abstract: An automated coin cell battery manufacturing system can include a holding arrangement, an electrolyte dispensing component, a case providing component, a pick and place component, and a crimping component. The holding arrangement can hold multiple partially assembled coin cells that can each include electrode(s) and a spacer within a coin cell cap. The electrolyte dispensing component can automatically dispense electrolyte material into the partially assembled coin cells, and the electrolyte material can be different for different coin cells. The case providing component can store multiple coin cell cases and automatically provide the stored coin cell cases. The pick and place component can automatically pick the coin cell cases from the case providing component and can automatically place the coin cell cases on the multiple partially assembled coin cells to form fully assembled coin cells within the holding arrangement. The crimping component can automatically crimp the fully assembled coin cells.

    MULTICHANNEL MATRIX-BASED ELECTROCHEMICAL TESTING SYSTEM

    公开(公告)号:US20220120704A1

    公开(公告)日:2022-04-21

    申请号:US17548484

    申请日:2021-12-10

    Abstract: Methods, systems, and apparatuses for multichannel, matrix-based testing of electrochemical materials are described herein. The system provides an electrochemical testing apparatus that consists of a bottom block having a first array of N×M receiving wells, and a top block with a second array of N×M chambers, with each of the N×M chambers having an electrical connector. The method involves inserting, into a number of the first array of N×M receiving wells, one or more electrochemical compositions to be tested. The method then involves closing the top block onto the bottom block. When the top and bottom blocks are closed, the N×M receiving wells and N×M chambers are aligned, thereby forming N×M testing cells. Finally, the method involves measuring one or more properties of the electrochemical composition inserted in the plurality of the N×M receiving wells.

    MATERIALS ARTIFICIAL INTELLIGENCE ROBOTICS-DRIVEN METHODS AND SYSTEMS

    公开(公告)号:US20210397949A1

    公开(公告)日:2021-12-23

    申请号:US17204858

    申请日:2021-03-17

    Abstract: A system, computer program product and a method to predict an objective function based on a recipe, and generate, via a machine learning model, a plurality of proposed different recipes of battery materials for optimizing at least objective function. Instances of the different proposed recipes of battery materials are prepared and deposited into an electrochemical module by a robotic preparation module. A robotic testing module executes a plurality of formulation characteristic tests on each deposited recipe instance and updates the machine learning model with a result of at least one of the formulation characteristic tests.

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