Invention Grant
- Patent Title: Battery capacity prediction system using charge and discharge cycles of a battery to predict capacity variations, and associated method
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Application No.: US16822469Application Date: 2020-03-18
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Publication No.: US11293987B2Publication Date: 2022-04-05
- Inventor: Gyeonghwan Lee , Minho Kim , Soohee Han
- Applicant: SAMSUNG SDI CO., LTD. , POSTECH Research and Business Development Foundation
- Applicant Address: KR Yongin-si; KR Pohang-si
- Assignee: SAMSUNG SDI CO., LTD.,POSTECH Research and Business Development Foundation
- Current Assignee: SAMSUNG SDI CO., LTD.,POSTECH Research and Business Development Foundation
- Current Assignee Address: KR Yongin-si; KR Pohang-si
- Agency: Lee IP Law, P.C.
- Priority: KR10-2019-0066881 20190605
- Main IPC: G01R31/36
- IPC: G01R31/36 ; G01R31/367 ; G01R31/382

Abstract:
A system and method of predicting variations in a capacity of a battery, the system including an ADFM management device including an experimental data collector to collect at least one first piece of data about the capacity of the battery, an ADF optimizer to optimize a first calculation equation, and a virtual data generator to generate at least one second piece of data; and a server including a training unit to train an artificial intelligence model for outputting the relative capacity variation value by using the at least one first piece of data and the at least one second piece of data as training data, and a prediction unit to obtain a relative capacity variation prediction value, which is output from the artificial intelligence model when the number of charge and discharge cycles and the charge and discharge conditions of the battery are input to the artificial intelligence model.
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