GB201912597D0 - Method and system for predicting battery degredation - Google Patents

Method and system for predicting battery degredation

Info

Publication number
GB201912597D0
GB201912597D0 GBGB1912597.0A GB201912597A GB201912597D0 GB 201912597 D0 GB201912597 D0 GB 201912597D0 GB 201912597 A GB201912597 A GB 201912597A GB 201912597 D0 GB201912597 D0 GB 201912597D0
Authority
GB
United Kingdom
Prior art keywords
degredation
predicting battery
predicting
battery
battery degredation
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.)
Granted
Application number
GBGB1912597.0A
Other versions
GB2586655A (en
GB2586655B (en
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.)
University of Newcastle, The
Newcastle University of Upon Tyne
Siemens PLC
Original Assignee
University of Newcastle, The
Newcastle University of Upon Tyne
Siemens PLC
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 University of Newcastle, The, Newcastle University of Upon Tyne, Siemens PLC filed Critical University of Newcastle, The
Priority to GB1912597.0A priority Critical patent/GB2586655B/en
Publication of GB201912597D0 publication Critical patent/GB201912597D0/en
Priority to PCT/GB2020/052092 priority patent/WO2021044134A1/en
Publication of GB2586655A publication Critical patent/GB2586655A/en
Application granted granted Critical
Publication of GB2586655B publication Critical patent/GB2586655B/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]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • 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
    • 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

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)
GB1912597.0A 2019-09-02 2019-09-02 Method and system for predicting battery degredation Active GB2586655B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GB1912597.0A GB2586655B (en) 2019-09-02 2019-09-02 Method and system for predicting battery degredation
PCT/GB2020/052092 WO2021044134A1 (en) 2019-09-02 2020-09-01 Method and system for predicting battery degradation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1912597.0A GB2586655B (en) 2019-09-02 2019-09-02 Method and system for predicting battery degredation

Publications (3)

Publication Number Publication Date
GB201912597D0 true GB201912597D0 (en) 2019-10-16
GB2586655A GB2586655A (en) 2021-03-03
GB2586655B GB2586655B (en) 2021-10-20

Family

ID=68207151

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1912597.0A Active GB2586655B (en) 2019-09-02 2019-09-02 Method and system for predicting battery degredation

Country Status (2)

Country Link
GB (1) GB2586655B (en)
WO (1) WO2021044134A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112100919A (en) * 2020-09-15 2020-12-18 武汉科技大学 Rolling bearing residual life prediction method based on RE-CF-EKF algorithm

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11335775B2 (en) 2020-08-27 2022-05-17 Micron Technology, Inc. Integrated assemblies and methods of forming integrated assemblies
US20220416548A1 (en) * 2021-06-23 2022-12-29 TWAICE Technologies GmbH Operational planning for battery-based energy storage systems considering battery aging
CN114172238A (en) * 2021-11-30 2022-03-11 深圳市道通智能航空技术股份有限公司 Method for estimating residual life of battery and charging and discharging system
CN114295998B (en) * 2021-12-28 2024-07-09 东软睿驰汽车技术（沈阳）有限公司 Method, device, equipment and storage medium for predicting service life of power battery
EP4235338A4 (en) * 2022-01-07 2023-11-22 Contemporary Amperex Technology Co., Limited Method and apparatus for predicting energy consumption of commercial electric vehicle, and computer device
CN115808922B (en) * 2022-01-07 2023-10-27 宁德时代新能源科技股份有限公司 Commercial electric vehicle energy consumption prediction method and device and computer equipment
EP4246162B1 (en) 2022-03-18 2024-07-10 ABB Schweiz AG Method of estimation of battery degradation
CN115184830B (en) * 2022-09-13 2022-12-27 楚能新能源股份有限公司 Battery attenuation estimation method
CN117706402B (en) * 2023-12-13 2024-06-14 石家庄开发区天远科技有限公司 Method, device and system for evaluating health state of engineering machinery storage battery

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5349540A (en) * 1989-05-12 1994-09-20 Fraunhofer Gesellschaft Zur Foerder Der Angewandten Forschung E. V. Apparatus for determining the state of physical properties of rechargeable electric energy storage devices
DE19959019A1 (en) * 1999-12-08 2001-06-13 Bosch Gmbh Robert Method for status detection of an energy store
DE102005062148B4 (en) * 2005-11-25 2014-11-13 Audi Ag Method for determining the operating state of an energy store for electrical energy
DE102014200645A1 (en) * 2014-01-16 2015-07-16 Robert Bosch Gmbh Method for battery management and battery management system
US10099562B2 (en) * 2014-10-15 2018-10-16 Johnson Controls Technology Company Cooling strategy for battery systems
US10422835B2 (en) * 2015-10-27 2019-09-24 Nec Corporation Innovative framework combining cycling and calendar aging models

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112100919A (en) * 2020-09-15 2020-12-18 武汉科技大学 Rolling bearing residual life prediction method based on RE-CF-EKF algorithm
CN112100919B (en) * 2020-09-15 2024-05-17 武汉科技大学 Rolling bearing residual life prediction method based on RE-CF-EKF algorithm

Also Published As

Publication number Publication date
GB2586655A (en) 2021-03-03
GB2586655B (en) 2021-10-20
WO2021044134A1 (en) 2021-03-11

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