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    SUPRAMOLECULAR STRUCTURE OF ACRYLIC ACID, AND Li-ION BATTERY USING SAME
    1.
    发明申请
    SUPRAMOLECULAR STRUCTURE OF ACRYLIC ACID, AND Li-ION BATTERY USING SAME 审中-公开
    丙烯酸的分子结构和使用它的锂离子电池

    公开(公告)号：US20160326279A1

    公开(公告)日：2016-11-10

    申请号：US15110107

    申请日：2014-02-06

    Applicant: HITACHI, LTD.

    Inventor： Shirun HO

    IPC: C08F20/06 ,  H01M10/0525 ,  H01M4/62 ,  C08G83/00

    CPC classification number: C08F20/06 ,  C08G83/008 ,  H01M4/622 ,  H01M10/0525 ,  H01M2004/027

    Abstract: As a method for improving the service life of a Li-ion battery, a supramolecular structure of acrylic acid which is a polymer formed by aggregating m number (an aggregation degree of m) of single chains each including n number (a polymerization degree of n) of acrylic acid monomers connected to each other, and has a constricted (narrowing) channel structure in which the single chains are arranged in a circle on the xy plane, a main chain is oriented along the direction of a central axis in the z direction, and a carboxyl group in a side chain is oriented along a direction perpendicular to the central axis in the z direction is used. As a result of an interaction between this constricted channel structure and an organic solvent molecule, the organic solvent molecule is captured inside the constricted channel structure, and the diffusion of the organic solvent molecule is inhibited.

    Abstract translation: 作为提高锂离子电池的使用寿命的方法，作为通过聚合m个（m的聚集度）的单链的聚合而形成的聚合物的丙烯酸的超分子结构，每个包含n个（聚合度n ）相互连接的丙烯酸单体，并且具有收缩（变窄）通道结构，其中单链在xy平面上以圆形排列，主链沿z方向的中心轴方向 ，并且使用侧链中的羧基沿着z方向垂直于中心轴线的方向取向。 由于这种收缩通道结构与有机溶剂分子之间的相互作用，有机溶剂分子被捕获在收缩的通道结构内部，并且有机溶剂分子的扩散被抑制。

    LIFETIME PREDICTION METHOD AND SYSTEM OF LITHIUM-ION BATTERY
    2.
    发明申请
    LIFETIME PREDICTION METHOD AND SYSTEM OF LITHIUM-ION BATTERY 审中-公开
    锂离子电池的寿命预测方法和系统

    公开(公告)号：US20160239586A1

    公开(公告)日：2016-08-18

    申请号：US14380509

    申请日：2013-08-28

    Applicant: HITACHI, LTD.

    Inventor： Shirun HO

    IPC: G06F17/50 ,  G06F17/11 ,  H01M10/0525 ,  H01M10/42 ,  H01M10/48

    CPC classification number: G06F17/5009 ,  G01R31/392 ,  G06F17/11 ,  G06F2217/78 ,  H01M10/0525 ,  H01M10/4235 ,  H01M10/4257 ,  H01M10/4285 ,  H01M10/48 ,  H01M2010/4278 ,  Y02T10/7011

    Abstract: In a method of predicting a lifetime of a lithium-ion battery, measurement data ηexp of a capacity retention η vs the number of charge and discharge cycles Ni in the lithium-ion battery is first input. Then, a physical parameter p such as a reaction velocity factor for allowing solvent molecules reduced and decomposed by a negative electrode to react with a lithium ion dissolved in a electrolyte solution to generate a precursor of a solid electrolyte inter-phase in the physical model is set in a physical model. Calculation data ηth of the capacity retention η vs the number of charge and discharge cycles Ni in the physical model is calculated with the use of two or more diffusion coefficients DSEI and DpNE to the solvent molecules. A mean square error Oth (DSEI, DpNE) of the measurement data ηexp and the calculation data ηth in the number of charge and discharge cycles Ni are calculated. Then, values DSEI and DpNE of the diffusion coefficients where the mean square error Oth (DSEI, DpNE) is minimal are selected.

    Abstract translation: 在预测锂离子电池的寿命的方法中，首先输入容量保持率η与锂离子电池中的充放电循环次数Ni的测定数据ηexp。 然后，将物理参数p如反应速度因子用于允许溶剂分子被负极还原和分解以与溶解在电解质溶液中的锂离子反应以在物理模型中产生固体电解质相间的前体， 设置在物理模型中。 容量保持率η与充放电循环次数的计算数据ηth相对于溶剂分子使用两个以上的扩散系数DSEI和DpNE来计算物理模型中的Ni。 计算测量数据ηexp的均方误差Oth（DSEI，DpNE）和充电和放电循环次数Ni的计算数据ηth。 然后，选择均方误差Oth（DSEI，DpNE）为最小的扩散系数的值DSEI和DpNE。

    DATA GENERATION METHOD AND COMPUTER SYSTEM
    4.
    发明申请
    DATA GENERATION METHOD AND COMPUTER SYSTEM 审中-公开

    公开(公告)号：US20180004860A1

    公开(公告)日：2018-01-04

    申请号：US15593428

    申请日：2017-05-12

    Applicant: Hitachi, Ltd.

    Inventor： Junichi MIYAKOSHI ,  Masanao YAMAOKA ,  Hiromasa TAKAHASHI ,  Shirun HO ,  Kenzo KUROTSUCHI ,  Sanato NAGATA

    IPC: G06F17/30 ,  G06N99/00

    Abstract: A computer includes a data generation unit and a storage unit which retains graph information for managing a graph configured from a plurality of vertexes and sides. The data generation unit performs acquiring a plurality of data and graph information and assuring storage regions in number equal to the number of vertexes, converting each data into an input value and setting at least one input value to a storage region corresponding to at least one vertex, executing an updating process for updating a value set to a storage region corresponding to a first vertex using the value set to the storage region corresponding to the first vertex and a value set to a storage region corresponding to a different vertex directly connected to the first vertex, and outputting a set of values set to the storage regions corresponding to the vertexes as the feature value.

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