AU2020387253B2 - Evaluation device, computer program, and evaluation method - Google Patents

Evaluation device, computer program, and evaluation method

Info

Publication number
AU2020387253B2
AU2020387253B2 AU2020387253A AU2020387253A AU2020387253B2 AU 2020387253 B2 AU2020387253 B2 AU 2020387253B2 AU 2020387253 A AU2020387253 A AU 2020387253A AU 2020387253 A AU2020387253 A AU 2020387253A AU 2020387253 B2 AU2020387253 B2 AU 2020387253B2
Authority
AU
Australia
Prior art keywords
time
data
series
energy storage
model
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
AU2020387253A
Other languages
English (en)
Other versions
AU2020387253A1 (en
Inventor
Nan UKUMORI
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.)
GS Yuasa International Ltd
Original Assignee
GS Yuasa International 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 GS Yuasa International Ltd filed Critical GS Yuasa International Ltd
Publication of AU2020387253A1 publication Critical patent/AU2020387253A1/en
Application granted granted Critical
Publication of AU2020387253B2 publication Critical patent/AU2020387253B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • 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
    • 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
    • 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
    • G01R31/387—Determining ampere-hour charge capacity or SoC
    • G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
    • 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
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • 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
    • 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
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • 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
    • H02J13/00—Circuit arrangements for providing remote monitoring or remote control of equipment in a power distribution network
    • H02J13/12—Monitoring network conditions, e.g. electrical magnitudes or operational status
    • 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
    • H02J7/40—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries characterised by the exchange of charge or discharge related data
    • H02J7/44—Circuit arrangements for charging or discharging batteries or for supplying loads from batteries characterised by the exchange of charge or discharge related data between battery management systems and power sources
    • 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
    • H02J7/82—Control of state of charge [SOC]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • H02J7/82—Control of state of charge [SOC]
    • H02J7/825—Detection of fully charged condition
    • 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]
    • 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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/50—Energy storage in industry with an added climate change mitigation effect
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/14—Energy storage units

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Electrochemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Chemical & Material Sciences (AREA)
  • Power Engineering (AREA)
  • Mathematical Physics (AREA)
  • Automation & Control Theory (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
AU2020387253A 2019-11-18 2020-11-17 Evaluation device, computer program, and evaluation method Active AU2020387253B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2019208083A JP7031649B2 (ja) 2019-11-18 2019-11-18 評価装置、コンピュータプログラム及び評価方法
JP2019-208083 2019-11-18
PCT/JP2020/042687 WO2021100673A1 (ja) 2019-11-18 2020-11-17 評価装置、コンピュータプログラム及び評価方法

Publications (2)

Publication Number Publication Date
AU2020387253A1 AU2020387253A1 (en) 2022-06-02
AU2020387253B2 true AU2020387253B2 (en) 2026-03-26

Family

ID=75963445

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2020387253A Active AU2020387253B2 (en) 2019-11-18 2020-11-17 Evaluation device, computer program, and evaluation method

Country Status (6)

Country Link
US (1) US11635467B2 (https=)
EP (1) EP4064519B1 (https=)
JP (1) JP7031649B2 (https=)
CN (1) CN114846710A (https=)
AU (1) AU2020387253B2 (https=)
WO (1) WO2021100673A1 (https=)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4047380A1 (de) * 2021-02-18 2022-08-24 FRONIUS INTERNATIONAL GmbH Verfahren und system zur analyse eines elektrischen energiespeichers sowie energieversorgungssystem
JP2022157740A (ja) * 2021-03-31 2022-10-14 本田技研工業株式会社 状態推定システム、状態推定方法、及びプログラム
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
WO2023175936A1 (ja) * 2022-03-18 2023-09-21 三菱電機株式会社 シミュレーション装置
CN115967178B (zh) * 2022-12-07 2023-09-05 贵州大学 一种储能系统运行的监测系统及方法
JP2025015259A (ja) * 2023-07-20 2025-01-30 株式会社Ｇｓユアサ 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
WO2025154207A1 (ja) * 2024-01-17 2025-07-24 三菱電機株式会社 対象システムのパラメータを推定するための方法、プログラム、装置、およびシステム
WO2025169722A1 (ja) * 2024-02-07 2025-08-14 株式会社Ｋｋｂテクノロジー 二次電池の診断装置および活性化装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160018345A1 (en) * 2014-07-21 2016-01-21 Samsung Electronics Co., Ltd Method and apparatus for detecting abnormal state of battery
WO2019181727A1 (ja) * 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 異常要因判定装置、劣化判定装置、コンピュータプログラム、劣化判定方法及び異常要因判定方法

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH1114507A (ja) 1997-06-19 1999-01-22 Denso Corp 車両シミュレーション装置
JP4042917B1 (ja) 2007-04-23 2008-02-06 株式会社パワーシステム キャパシタ電源の異常判別方法及び異常判別装置
JP2011154410A (ja) 2010-01-25 2011-08-11 Sony Corp 解析サーバ及びデータ解析方法
JP2015059933A (ja) * 2013-09-20 2015-03-30 株式会社東芝 二次電池の異常診断装置及び異常診断方法
KR102424528B1 (ko) * 2015-06-11 2022-07-25 삼성전자주식회사 배터리의 상태를 추정하는 장치 및 방법
JP6787189B2 (ja) 2017-03-03 2020-11-18 住友電気工業株式会社 温度異常判定装置、温度異常判定方法及びコンピュータプログラム
JP2018173370A (ja) 2017-03-31 2018-11-08 住友電気工業株式会社 異常判定装置、異常判定方法及びコンピュータプログラム
JP6590029B1 (ja) 2018-06-13 2019-10-16 株式会社Ｇｓユアサ 行動生成装置、蓄電素子評価装置、コンピュータプログラム、学習方法及び評価方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160018345A1 (en) * 2014-07-21 2016-01-21 Samsung Electronics Co., Ltd Method and apparatus for detecting abnormal state of battery
WO2019181727A1 (ja) * 2018-03-20 2019-09-26 株式会社Ｇｓユアサ 異常要因判定装置、劣化判定装置、コンピュータプログラム、劣化判定方法及び異常要因判定方法

Also Published As

Publication number Publication date
EP4064519A4 (en) 2023-03-01
JP7031649B2 (ja) 2022-03-08
US20220381831A1 (en) 2022-12-01
AU2020387253A1 (en) 2022-06-02
EP4064519B1 (en) 2025-05-28
JP2021083208A (ja) 2021-05-27
EP4064519A1 (en) 2022-09-28
WO2021100673A1 (ja) 2021-05-27
US11635467B2 (en) 2023-04-25
CN114846710A (zh) 2022-08-02

Similar Documents

Publication Publication Date Title
AU2020387253B2 (en) Evaluation device, computer program, and evaluation method
US11728673B2 (en) Advanced smart battery analytic and diagnostic systems and methods
Zhang et al. Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process
Hu et al. A prognostic model based on DBN and diffusion process for degrading bearing
EP3904894B1 (en) Training device, estimation device, training method, estimation method, training program, and estimation program
US10527678B2 (en) Apparatus and method for estimating state of battery using battery degradation models
US20200011932A1 (en) Battery capacity fading model using deep learning
Xiong et al. A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles
CN110647414A (zh) 具有异常检测的改善的模拟功能安全
US12392841B2 (en) Information processing device, information processing method, and computer program
US20140358459A1 (en) Model-based battery monitoring
US20190041235A1 (en) Sensor control support apparatus, sensor control support method and non-transitory computer readable medium
CN110927606A (zh) 电池状态监测方法、装置
EP4175010A1 (en) Temperature estimation device, computer program, and temperature estimation method
Wei et al. A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries
KR20230029132A (ko) 딥러닝 신경망을 이용한 기계요소 해석 장치
Kumar et al. A machine learning framework for prediction interval based technique for short-term solar energy forecast
Ghassemi et al. Optimal surrogate and neural network modeling for day-ahead forecasting of the hourly energy consumption of university buildings
Nor et al. Study of voltage and power stability margins of electrical power system using ANN
EP4109354A1 (en) A system and method for physical model based machine learning
He et al. Design of explainability module with experts in the loop for visualization and dynamic adjustment of continual learning
Ferdowsi et al. Fault detection and estimation for a class of nonlinear distributed parameter systems
Li et al. A Forecasting Framework Based on GM (1, 1) Model and Long Short-Term Memory Network.
dos Santos et al. Study of machine learning algorithms to state of health estimation of iron phosphate lithium-ion battery used in fully electric vehicles
CN118521007B (zh) 一种电力负荷的混沌相空间神经网络模型安全监测方法