SECONDARY BATTERY
    61.
    发明公开
    SECONDARY BATTERY 审中-公开

    公开(公告)号:US20230361271A1

    公开(公告)日:2023-11-09

    申请号:US18218248

    申请日:2023-07-05

    CPC classification number: H01M4/133 H01M4/587 H01M4/366

    Abstract: A secondary battery in which graphite that is an active material can occlude and release lithium efficiently is provided. Further, a highly reliable secondary battery in which the amount of lithium inserted and extracted into/from graphite that is an active material is prevented from varying is provided. The secondary battery includes a negative electrode including a current collector and graphite provided over the current collector, and a positive electrode. The graphite includes a plurality of graphene layers. Surfaces of the plurality of graphene layers are provided substantially along the direction of an electric field generated between the positive electrode and the negative electrode.

    POSITION ESTIMATION SYSTEM, POSITION ESTIMATION DEVICE, AND MOBILE OBJECT

    公开(公告)号:US20230145777A1

    公开(公告)日:2023-05-11

    申请号:US17913340

    申请日:2021-03-29

    Abstract: A position estimation system with low power consumption is provided. The position estimation system includes a comparison unit, a learning unit, a data acquisition unit, an inference unit, a data conversion unit, and an evaluation unit. The comparison unit has a function of calculating a first parallel movement amount and a first rotation amount on the basis of machine learning data representing geographic information. The learning unit has a function of generating a machine learning model through learning using the machine learning data, the first parallel movement amount, and the first rotation amount. The data acquisition unit has a function of acquiring acquisition data representing environmental information on the vicinity of a position estimation device. The inference unit has a function of inferring a second parallel movement amount and a second rotation amount, with use of the machine learning model, on the basis of the acquisition data and the machine learning data. The data conversion unit has a function of converting the machine learning data to evaluation data on the basis of the second parallel movement amount and the second rotation amount. The evaluation unit has a function of evaluating the degree of correspondence between the acquisition data and the evaluation data.

    DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD

    公开(公告)号:US20220415089A1

    公开(公告)日:2022-12-29

    申请号:US17778623

    申请日:2020-11-20

    Abstract: A data processing system that can sense fatigue or the like using a neural network is provided. First, a reference image is obtained on the basis of first to n-th images (n is an integer greater than or equal to 2). Next, the first to n-th images and the reference image are input to an input layer of a neural network, first to n-th estimated ages and a reference estimated age are output from an output layer, and first to n-th data and reference data are output from an intermediate layer. After that, first to n-th coordinates are obtained in each of which an x-coordinate is a value corresponding to a difference between the reference estimated age and the first to n-th estimated ages and a y-coordinate is a value corresponding to the degree of similarity between the reference data and the first to n-th data. Next, a query image is input to the input layer, a query estimated age is output from the output layer, query data is output from the intermediate layer, and query coordinates are obtained using the output results. Whether a person of a face included in the query image feels fatigue or the like is determined on the basis of the first to n-th coordinates and the query coordinates.

    CLASSIFICATION METHOD
    64.
    发明申请

    公开(公告)号:US20220277591A1

    公开(公告)日:2022-09-01

    申请号:US17637563

    申请日:2020-09-01

    Abstract: Person's conditions are classified according to his/her eye data. Person's conditions are classified according to his/her eye data using an imaging device, a feature extraction unit, and a classifier. The imaging device has a function of generating a group of images by continuous image capturing, and the group of images preferably includes an image of an eye area. The eye includes a black area and a white area. The method includes the steps in which the feature extraction unit extracts the eye area from the group of images, extracts a blinking amplitude, detects an image for determining start of eye blinking, stores an image for determining end of eye blinking as first data, and stores an image after a predetermined time elapsed from the first data as second data. The step in which the feature extraction unit extracts the white area from the first data and the second data is included. The classifier can use the white area as learning data.

    PARAMETER SEARCH METHOD
    67.
    发明申请

    公开(公告)号:US20220100943A1

    公开(公告)日:2022-03-31

    申请号:US17424043

    申请日:2020-02-04

    Abstract: A parameter candidate for a semiconductor element is provided. A data set of measurement data is provided to a parameter extraction portion, and a model parameter is extracted. A first netlist is provided to a circuit simulator, simulation is performed using the first netlist and the model parameter, and a first output result is output. A classification model learns the model parameter and the first output result and classifies the model parameter. A second netlist and a model parameter are provided to the circuit simulator. A variable to be adjusted is supplied to a neural network, an action value function is output, and the variable is updated. The circuit simulator performs simulation using the second netlist and the model parameter. When a second output result to be output does not satisfy conditions, a weight coefficient of the neural network is updated. When the second output result satisfies the conditions, the variable is judged to be the best candidate.

    SECONDARY BATTERY
    68.
    发明申请
    SECONDARY BATTERY 审中-公开

    公开(公告)号:US20200321605A1

    公开(公告)日:2020-10-08

    申请号:US16904618

    申请日:2020-06-18

    Abstract: A secondary battery in which graphite that is an active material can occlude and release lithium efficiently is provided. Further, a highly reliable secondary battery in which the amount of lithium inserted and extracted into/from graphite that is an active material is prevented from varying is provided. The secondary battery includes a negative electrode including a current collector and graphite provided over the current collector, and a positive electrode. The graphite includes a plurality of graphene layers. Surfaces of the plurality of graphene layers are provided substantially along the direction of an electric field generated between the positive electrode and the negative electrode.

    METHOD FOR MANUFACTURING POSITIVE ELECTRODE ACTIVE MATERIAL, AND LITHIUM ION BATTERY

    公开(公告)号:US20200303739A1

    公开(公告)日:2020-09-24

    申请号:US16893726

    申请日:2020-06-05

    Abstract: A composite oxide with high diffusion rate of lithium is provided. Alternatively, a lithium-containing complex phosphate with high diffusion rate of lithium is provided. Alternatively, a positive electrode active material with high diffusion rate of lithium is provided. Alternatively, a lithium ion battery with high output is provided. Alternatively, a lithium ion battery that can be manufactured at low cost is provided. A positive electrode active material is formed through a first step of mixing a lithium compound, a phosphorus compound, and water, a second step of adjusting pH by adding a first aqueous solution to a first mixed solution formed in the first step, a third step of mixing an iron compound with a second mixed solution formed in the second step, a fourth step of performing heat treatment under a pressure more than or equal to 0.1 MPa and less than or equal to 2 MPa at a highest temperature more than 100° C. and less than or equal to 119 ° C. on a third mixed solution formed in the third step with a pH of more than or equal to 3.5 and less than or equal to 5.0.

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