JP7457575B2 - 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム - Google Patents

劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム Download PDF

Info

Publication number
JP7457575B2
JP7457575B2 JP2020090373A JP2020090373A JP7457575B2 JP 7457575 B2 JP7457575 B2 JP 7457575B2 JP 2020090373 A JP2020090373 A JP 2020090373A JP 2020090373 A JP2020090373 A JP 2020090373A JP 7457575 B2 JP7457575 B2 JP 7457575B2
Authority
JP
Japan
Prior art keywords
storage battery
charging
measurement data
discharging
state
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
JP2020090373A
Other languages
English (en)
Japanese (ja)
Other versions
JP2021185354A (ja
JP2021185354A5 (https=
Inventor
九廷 陳
秀徳 嶋脇
逸郎 林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AESC Japan Ltd
Original Assignee
AESC Japan Ltd
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.)
Filing date
Publication date
Application filed by AESC Japan Ltd filed Critical AESC Japan Ltd
Priority to JP2020090373A priority Critical patent/JP7457575B2/ja
Priority to CN202180038308.3A priority patent/CN115698738A/zh
Priority to EP21812723.1A priority patent/EP4160784A4/en
Priority to US17/999,834 priority patent/US20230213585A1/en
Priority to PCT/JP2021/016928 priority patent/WO2021241115A1/ja
Publication of JP2021185354A publication Critical patent/JP2021185354A/ja
Publication of JP2021185354A5 publication Critical patent/JP2021185354A5/ja
Application granted granted Critical
Publication of JP7457575B2 publication Critical patent/JP7457575B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries
    • H02J7/80—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries including monitoring or indicating arrangements
    • H02J7/84—Control of state of health [SOH]
    • 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]
    • G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • 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]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • 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]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • 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]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Manufacturing & Machinery (AREA)
  • General Chemical & Material Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Power Engineering (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
  • Secondary Cells (AREA)
JP2020090373A 2020-05-25 2020-05-25 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム Active JP7457575B2 (ja)

Priority Applications (5)

Application Number Priority Date Filing Date Title
JP2020090373A JP7457575B2 (ja) 2020-05-25 2020-05-25 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム
CN202180038308.3A CN115698738A (zh) 2020-05-25 2021-04-28 劣化推定装置、模型生成装置、劣化推定方法、模型生成方法及程序
EP21812723.1A EP4160784A4 (en) 2020-05-25 2021-04-28 Deterioration estimation device, model generation device, deterioration estimation method, model generation method, and program
US17/999,834 US20230213585A1 (en) 2020-05-25 2021-04-28 Deterioration estimation apparatus, model generation apparatus, deterioration estimation method, model generation method, and non-transitory computer-readable storage medium
PCT/JP2021/016928 WO2021241115A1 (ja) 2020-05-25 2021-04-28 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2020090373A JP7457575B2 (ja) 2020-05-25 2020-05-25 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム

Publications (3)

Publication Number Publication Date
JP2021185354A JP2021185354A (ja) 2021-12-09
JP2021185354A5 JP2021185354A5 (https=) 2023-03-28
JP7457575B2 true JP7457575B2 (ja) 2024-03-28

Family

ID=78745276

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020090373A Active JP7457575B2 (ja) 2020-05-25 2020-05-25 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム

Country Status (5)

Country Link
US (1) US20230213585A1 (https=)
EP (1) EP4160784A4 (https=)
JP (1) JP7457575B2 (https=)
CN (1) CN115698738A (https=)
WO (1) WO2021241115A1 (https=)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113902121B (zh) * 2021-07-15 2023-07-21 陈九廷 一种电池劣化推测装置校验的方法、装置、设备及介质
KR102931475B1 (ko) * 2022-01-14 2026-02-25 주식회사 엘지에너지솔루션 배터리 상태 추정 방법 및 그 방법을 제공하는 배터리 시스템
EP4478068A4 (en) * 2022-02-07 2025-06-04 Denso Corporation SECONDARY BATTERY STATE DETECTION DEVICE, LEARNING UNIT, AND SECONDARY BATTERY STATE DETECTION METHOD
WO2023181101A1 (ja) * 2022-03-22 2023-09-28 株式会社 東芝 情報処理装置、情報処理方法、情報処理システム及びコンピュータプログラム
WO2023189368A1 (ja) * 2022-03-30 2023-10-05 ヌヴォトンテクノロジージャパン株式会社 蓄電池の劣化推定装置、及び蓄電池の劣化推定方法
JP7459161B2 (ja) * 2022-03-31 2024-04-01 本田技研工業株式会社 モデル評価装置、フィルタ生成装置、モデル評価方法、フィルタ生成方法及びプログラム
WO2024013794A1 (ja) * 2022-07-11 2024-01-18 恒林日本株式会社 深層学習モデル生成装置、及び蓄電池の特性値算出装置
JP2024018139A (ja) * 2022-07-29 2024-02-08 株式会社Ｇｓユアサ 推定装置、推定方法及びコンピュータプログラム
WO2024105837A1 (ja) * 2022-11-17 2024-05-23 恒林日本株式会社 機械学習モデル生成装置、及び蓄電池の特性値算出装置
JP7767261B2 (ja) * 2022-12-09 2025-11-11 株式会社東芝 情報処理装置、情報処理方法、プログラムおよび情報処理システム
WO2024134735A1 (ja) * 2022-12-19 2024-06-27 恒林日本株式会社 機械学習モデル生成装置、及び蓄電池の特性値算出装置
EP4624953A1 (en) * 2024-03-25 2025-10-01 Sonova AG Determining parameters of a rechargeable battery of a portable device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006220616A (ja) 2005-02-14 2006-08-24 Denso Corp 車両用蓄電装置の内部状態検出方式
WO2017094759A1 (ja) 2015-11-30 2017-06-08 積水化学工業株式会社 診断用周波数決定方法、蓄電池劣化診断方法、診断用周波数決定システムおよび蓄電池劣化診断装置
WO2018147194A1 (ja) 2017-02-07 2018-08-16 日本電気株式会社 蓄電池制御装置、充放電制御方法、及び記録媒体
WO2019021099A1 (ja) 2017-07-25 2019-01-31 株式会社半導体エネルギー研究所 蓄電システム、電子機器及び車両、並びに推定方法
JP2019113524A (ja) 2017-10-17 2019-07-11 ザ ボード オブ トラスティーズ オブ ザ レランド スタンフォード ジュニア ユニバーシティー リチウムイオン電池の容量低下と寿命予測のためのデータ駆動モデル
WO2019181729A1 (ja) 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 劣化推定装置、コンピュータプログラム及び劣化推定方法
WO2019181728A1 (ja) 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 劣化推定装置、コンピュータプログラム及び劣化推定方法

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107340476B (zh) * 2016-04-29 2021-01-26 株式会社日立制作所 电池的电气状态监测系统和电气状态监测方法
CN107329088B (zh) * 2016-04-29 2021-05-14 株式会社日立制作所 电池的健康状态诊断装置和方法
KR102726191B1 (ko) * 2016-10-05 2024-11-06 삼성전자주식회사 배터리 상태 추정 장치 및 방법
KR102794443B1 (ko) * 2016-11-16 2025-04-11 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
WO2019162749A1 (en) * 2017-12-07 2019-08-29 Yazami Ip Pte. Ltd. Method and system for online assessing state of health of a battery
CN108414937A (zh) * 2017-12-08 2018-08-17 国网北京市电力公司 充电电池荷电状态确定方法及装置
WO2020027203A1 (ja) * 2018-07-31 2020-02-06 本田技研工業株式会社 推定システム、推定装置、推定方法、プログラム、及び記憶媒体
WO2020044713A1 (ja) * 2018-08-28 2020-03-05 本田技研工業株式会社 診断装置、診断方法、及びプログラム
JP7145035B2 (ja) * 2018-10-29 2022-09-30 本田技研工業株式会社 学習装置、学習方法、及びプログラム
JP6767463B2 (ja) 2018-12-07 2020-10-14 日本海上工事株式会社 板状体の吊り枠装置および敷設工法
WO2020130422A1 (en) * 2018-12-21 2020-06-25 Samsung Electronics Co., Ltd. Method and system for predicting onset of capacity fading in a battery
CN110068774B (zh) * 2019-05-06 2021-08-06 清华四川能源互联网研究院 锂电池健康状态的估计方法、装置及存储介质
KR102731011B1 (ko) * 2019-06-05 2024-11-19 삼성에스디아이 주식회사 배터리의 충방전 사이클에 따른 용량 변화 예측방법 및 예측시스템
CN110346734B (zh) * 2019-06-19 2021-07-20 江苏大学 一种基于机器学习的锂离子动力电池健康状态估算方法
CN110659722B (zh) * 2019-08-30 2023-07-18 江苏大学 基于AdaBoost-CBP神经网络的电动汽车锂离子电池健康状态估算方法
CN111090047B (zh) * 2019-12-09 2022-01-28 泉州装备制造研究所 一种基于多模型融合的锂电池健康状态估计方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006220616A (ja) 2005-02-14 2006-08-24 Denso Corp 車両用蓄電装置の内部状態検出方式
WO2017094759A1 (ja) 2015-11-30 2017-06-08 積水化学工業株式会社 診断用周波数決定方法、蓄電池劣化診断方法、診断用周波数決定システムおよび蓄電池劣化診断装置
WO2018147194A1 (ja) 2017-02-07 2018-08-16 日本電気株式会社 蓄電池制御装置、充放電制御方法、及び記録媒体
WO2019021099A1 (ja) 2017-07-25 2019-01-31 株式会社半導体エネルギー研究所 蓄電システム、電子機器及び車両、並びに推定方法
JP2019113524A (ja) 2017-10-17 2019-07-11 ザ ボード オブ トラスティーズ オブ ザ レランド スタンフォード ジュニア ユニバーシティー リチウムイオン電池の容量低下と寿命予測のためのデータ駆動モデル
WO2019181729A1 (ja) 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 劣化推定装置、コンピュータプログラム及び劣化推定方法
WO2019181728A1 (ja) 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 劣化推定装置、コンピュータプログラム及び劣化推定方法

Also Published As

Publication number Publication date
JP2021185354A (ja) 2021-12-09
EP4160784A1 (en) 2023-04-05
WO2021241115A1 (ja) 2021-12-02
EP4160784A4 (en) 2024-01-17
US20230213585A1 (en) 2023-07-06
CN115698738A (zh) 2023-02-03

Similar Documents

Publication Publication Date Title
JP7457575B2 (ja) 劣化推定装置、モデル生成装置、劣化推定方法、モデル生成方法、及びプログラム
EP3748380B1 (en) Battery capacity prediction system using charge and discharge cycles of a battery to predict capacity variations, and associated method
CN110068774B (zh) 锂电池健康状态的估计方法、装置及存储介质
CN110658460B (zh) 一种电池包的电池寿命预测方法及装置
US10718815B2 (en) Method and apparatus for estimating state of battery based on error correction
JP2017004955A (ja) バッテリ状態推定装置及び方法
CN116381535A (zh) 用于在设备外部的中央单元中借助数字孪生高效监控设备电池组的电池组电池的方法和系统
CN113505534A (zh) 一种考虑需求响应的负荷预测方法
CN118386926B (zh) 动力电池充电方法、装置、设备、存储介质及车辆
US20220097561A1 (en) Method and Device for the Robust Prediction of the Aging Behavior of an Energy Storage Unit in a Battery-Operated Machine
JP7519625B2 (ja) 情報処理方法及び情報処理装置
CN116466235A (zh) 用于基于主动学习算法来为蓄能器初始提供健康状态模型的方法和装置
CN112597663B (zh) 一种基于蒙特卡洛仿真和网格搜索法的汽车二维质保策略的优化方法
JP7443218B2 (ja) データ処理装置、モデル生成装置、データ処理方法、モデル生成方法、及びプログラム
CN119224623B (zh) 一种储能电池寿命评价方法及相关装置
US12443152B2 (en) Remaining capacity estimation apparatus, model generation apparatus, and non-transitory computer-readable medium
Wanner et al. Diagnosis and remaining useful life prediction of end-of-life battery systems for second-life applications
WO2022075215A1 (ja) データ処理システム、モデル生成装置、データ処理方法、モデル生成方法、及びプログラム
CN114441969A (zh) 电池荷电状态估算方法及装置
WO2024013794A1 (ja) 深層学習モデル生成装置、及び蓄電池の特性値算出装置
CN114397593A (zh) 一种动力电池剩余寿命的预测方法
WO2024134735A1 (ja) 機械学習モデル生成装置、及び蓄電池の特性値算出装置
WO2024105837A1 (ja) 機械学習モデル生成装置、及び蓄電池の特性値算出装置
WO2026018527A1 (ja) 電池劣化推定システム、電池劣化推定プログラム
CN121784385A (zh) 乘员舱电磁干扰评估方法、装置和计算机设备

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230317

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20230317

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20240305

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20240315

R150 Certificate of patent or registration of utility model

Ref document number: 7457575

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150