KR102238248B9 - 머신러닝을 이용한 배터리 진단 방법 - Google Patents

머신러닝을 이용한 배터리 진단 방법

Info

Publication number
KR102238248B9
KR102238248B9 KR1020190093576A KR20190093576A KR102238248B9 KR 102238248 B9 KR102238248 B9 KR 102238248B9 KR 1020190093576 A KR1020190093576 A KR 1020190093576A KR 20190093576 A KR20190093576 A KR 20190093576A KR 102238248 B9 KR102238248 B9 KR 102238248B9
Authority
KR
South Korea
Prior art keywords
machine learning
diagnostic methods
battery diagnostic
battery
methods
Prior art date
Application number
KR1020190093576A
Other languages
English (en)
Other versions
KR102238248B1 (ko
KR20210016154A (ko
Inventor
황환철
최영혜
조재현
Original Assignee
주식회사 에스제이 테크
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 주식회사 에스제이 테크 filed Critical 주식회사 에스제이 테크
Priority to KR1020190093576A priority Critical patent/KR102238248B1/ko
Publication of KR20210016154A publication Critical patent/KR20210016154A/ko
Application granted granted Critical
Publication of KR102238248B1 publication Critical patent/KR102238248B1/ko
Publication of KR102238248B9 publication Critical patent/KR102238248B9/ko

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Secondary Cells (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
KR1020190093576A 2019-07-31 2019-07-31 머신러닝을 이용한 배터리 진단 방법 KR102238248B1 (ko)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020190093576A KR102238248B1 (ko) 2019-07-31 2019-07-31 머신러닝을 이용한 배터리 진단 방법

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020190093576A KR102238248B1 (ko) 2019-07-31 2019-07-31 머신러닝을 이용한 배터리 진단 방법

Publications (3)

Publication Number Publication Date
KR20210016154A KR20210016154A (ko) 2021-02-15
KR102238248B1 KR102238248B1 (ko) 2021-04-12
KR102238248B9 true KR102238248B9 (ko) 2022-01-17

Family

ID=74560556

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020190093576A KR102238248B1 (ko) 2019-07-31 2019-07-31 머신러닝을 이용한 배터리 진단 방법

Country Status (1)

Country Link
KR (1) KR102238248B1 (ko)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102620444B1 (ko) * 2021-03-04 2024-01-03 한국에너지기술연구원 배터리 상태 추정 장치 및 배터리 상태 추정 모델 학습 장치
KR102573964B1 (ko) * 2021-03-15 2023-09-01 금오공과대학교 산학협력단 배터리 soh 예측 장치 및 방법
US20240168093A1 (en) * 2021-06-18 2024-05-23 Lg Chem, Ltd. Device and Method for Predicting Low Voltage Failure of Secondary Battery, and Battery Control System Comprising Same Device
KR20230020280A (ko) * 2021-08-03 2023-02-10 주식회사 엘지에너지솔루션 배터리 검사 장치 및 배터리 검사 시스템
KR20230057894A (ko) * 2021-10-22 2023-05-02 주식회사 엘지에너지솔루션 배터리 팩 내의 이상 징후 셀 검출 장치 및 방법
KR102636122B1 (ko) * 2021-10-28 2024-02-14 콤비로 주식회사 딥러닝을 이용한 시장규모 예측 장치 및 그 방법
WO2023194833A1 (en) * 2022-04-08 2023-10-12 Ses Holdings Pte. Ltd. Methods of operating electrochemical storage devices based on anomaly clustering, and software and systems including same
CN114742297B (zh) * 2022-04-11 2024-05-24 中国第一汽车股份有限公司 动力电池的处理方法
KR20240083312A (ko) 2022-12-05 2024-06-12 현대자동차주식회사 건식 전극 혼합물의 진단시스템
KR20240088379A (ko) * 2022-12-13 2024-06-20 주식회사 엘지에너지솔루션 전지 모듈의 충격 해석 모델을 학습하는 방법 및 전지 모듈의 충격 해석 결과를 예측하는 방법
CN118195836B (zh) * 2024-05-14 2024-08-09 青海绿草地新能源科技有限公司 基于机器学习的新能源汽车电能管理方法及系统

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101160541B1 (ko) * 2010-12-08 2012-06-27 주식회사티움리서치 전지 잔여용량 예측방법
US20170212829A1 (en) * 2016-01-21 2017-07-27 American Software Safety Reliability Company Deep Learning Source Code Analyzer and Repairer
KR20180055192A (ko) * 2016-11-16 2018-05-25 삼성전자주식회사 배터리 상태를 추정하는 방법 및 장치
KR101792975B1 (ko) 2017-04-25 2017-11-02 한국기술교육대학교 산학협력단 수치적 시뮬레이션 데이터 기반 배터리의 수명 상태 예측 방법
KR101992051B1 (ko) * 2018-03-19 2019-06-21 충북대학교 산학협력단 배터리 잔량 예측 방법 및 배터리 잔량 예측 시스템

Also Published As

Publication number Publication date
KR102238248B1 (ko) 2021-04-12
KR20210016154A (ko) 2021-02-15

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