公开(公告)号：US20240036117A1

公开(公告)日：2024-02-01

申请号：US18359999

申请日：2023-07-27

Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

Inventor： Kazuki TANEMURA ,  Mayumi MIKAMI ,  Kazuki HIGASHI ,  Haruki KATAGIRI ,  Kyoichi MUKAO

IPC: G01R31/3835 ,  G01R31/36

CPC classification number: G01R31/3835 ,  G01R31/3646 ,  G01R31/3648

Abstract: A battery evaluation system that performs evaluation by easily linking a plurality of measurement methods relating to a secondary battery is provided. A charge and discharge device is configured to perform, in a first period, either or both of charge and discharge of a secondary battery. The first measurement device is configured to perform, in the first period, measurement of a spectrum a plurality of times. The arithmetic portion is configured to generate a first graph using the plurality of measured spectra. The arithmetic portion is configured to generate data of a second graph using a set of data including a voltage and the time of measurement of the voltage. A display portion is configured to display the first graph and the second graph at the same time. The battery evaluation system is configured to set a first area in one of the first graph and the second graph and to display a second area corresponding to the first area in the other of the first graph and the second graph.

公开(公告)号：US20230012643A1

公开(公告)日：2023-01-19

申请号：US17854101

申请日：2022-06-30

Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

Inventor： Kazuki HIGASHI ,  Kunihiko SUZUKI ,  Kenta NAKANISHI ,  Yuji IWAKI

IPC: G06N3/08 ,  H01M10/0525 ,  H01M4/505 ,  H01M4/525

Abstract: To provide a method for predicting the c-axis length of a lithium compound crystal structure, a method for building a learning model for predicting a c-axis length, and a system for predicting a crystal structure having the maximum c-axis length. A method for predicting the c-axis length of a crystal structure of a lithium compound containing cobalt, nickel, and manganese includes preparing a descriptor including n values (n is an integer greater than or equal to 0) obtained by converting a crystal structure of the lithium compound in which manganese at any one or more of n sites is substituted by a metal atom among crystal structures of the lithium compound into binary data and a characteristic value of the metal atom; inputting the descriptor into a learned learning model; and outputting a predicted value of c-axis length of an optimized crystal structure and a descriptor corresponding to the optimized crystal structure as an output value of the learning model.