COLLECTOR ALUMINUM FOIL, SECONDARY BATTERY, AND EVALUATION METHOD
    1.
    发明申请
    COLLECTOR ALUMINUM FOIL, SECONDARY BATTERY, AND EVALUATION METHOD 审中-公开
    收集铝箔,二次电池和评估方法

    公开(公告)号:US20160211526A1

    公开(公告)日:2016-07-21

    申请号:US14914471

    申请日:2014-08-20

    Inventor: Akio TODA

    CPC classification number: H01M4/661 G01N23/20091 H01M4/70

    Abstract: The mechanical strength of an electrode sheet becomes problematic when employing means for improving the productivity of an electrode process. In a collector aluminum foil of the present invention, when the intensities of the (022) and (111) diffraction peaks appearing in an XRD spectrum measured in the reflection geometry are denoted by IB(022) and IB(111), respectively, a value of IB(022)/IB(111) is 200 or less.

    Abstract translation: 当采用用于提高电极工艺的生产率的方法时,电极片的机械强度变得有问题。 在本发明的集电体铝箔中,当在反射几何中测量的XRD光谱中出现的(022)和(111)衍射峰的强度分别由IB(022)和IB(111)表示时,a IB(022)/ IB(111)的值为200以下。

    OPTIMIZATION DEVICE, OPTIMIZATION METHOD AND OPTIMIZATION PROGRAM

    公开(公告)号:US20250045345A1

    公开(公告)日:2025-02-06

    申请号:US18787140

    申请日:2024-07-29

    Inventor: Akio TODA

    Abstract: The optimization device includes an annealing means. The annealing means executes solution calculation so as to exclude from search range spin sets whose distances from the spin sets indicating optimal solutions obtained by the n−1st solution calculation are within a predetermined range in the nth solution calculation.

    OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20240054441A1

    公开(公告)日:2024-02-15

    申请号:US18270822

    申请日:2021-12-06

    CPC classification number: G06Q10/08355 G06Q10/047 G06Q50/28

    Abstract: There is provided an optimization apparatus that reduces the time required to create a delivery plan. An optimization apparatus (100) includes an acquisition unit (110) that acquires delivery information regarding each of one or more products for each of a plurality of consumption locations, an identification unit (120) that identifies a plurality of delivery task candidates departing from a delivery source, delivering the one or more products to each of one or more consumption locations, and returning to the delivery source, a determination unit (130) that determines, based on the delivery information, at least one of evaluation values and a vehicle type of a delivery vehicle for each candidate, and a selection unit (140) that selects a plurality of delivery tasks from the plurality of identified candidates based on a result of optimizing an objective function based on a determination result.

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