GB2386709B - Battery residual capacity estimation for electric vehicles - Google Patents

Battery residual capacity estimation for electric vehicles

Info

Publication number
GB2386709B
GB2386709B GB0206316A GB0206316A GB2386709B GB 2386709 B GB2386709 B GB 2386709B GB 0206316 A GB0206316 A GB 0206316A GB 0206316 A GB0206316 A GB 0206316A GB 2386709 B GB2386709 B GB 2386709B
Authority
GB
United Kingdom
Prior art keywords
electric vehicles
residual capacity
capacity estimation
battery residual
estimation
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.)
Expired - Fee Related
Application number
GB0206316A
Other versions
GB2386709A (en
GB0206316D0 (en
Inventor
Ching Chuen Chan
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to GB0206316A priority Critical patent/GB2386709B/en
Publication of GB0206316D0 publication Critical patent/GB0206316D0/en
Publication of GB2386709A publication Critical patent/GB2386709A/en
Application granted granted Critical
Publication of GB2386709B publication Critical patent/GB2386709B/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)
GB0206316A 2002-03-18 2002-03-18 Battery residual capacity estimation for electric vehicles Expired - Fee Related GB2386709B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB0206316A GB2386709B (en) 2002-03-18 2002-03-18 Battery residual capacity estimation for electric vehicles

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB0206316A GB2386709B (en) 2002-03-18 2002-03-18 Battery residual capacity estimation for electric vehicles

Publications (3)

Publication Number Publication Date
GB0206316D0 GB0206316D0 (en) 2002-05-01
GB2386709A GB2386709A (en) 2003-09-24
GB2386709B true GB2386709B (en) 2004-03-17

Family

ID=9933164

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0206316A Expired - Fee Related GB2386709B (en) 2002-03-18 2002-03-18 Battery residual capacity estimation for electric vehicles

Country Status (1)

Country Link
GB (1) GB2386709B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4623448B2 (en) * 2005-04-20 2011-02-02 株式会社デンソー Secondary battery remaining capacity calculation method
GB2444511B (en) * 2006-12-06 2008-10-22 Iti Scotland Ltd Battery Management System
CN105974327A (en) * 2016-06-12 2016-09-28 广州市香港科大霍英东研究院 Lithium battery pack SOC prediction method based on neural network and UKF
CN111191824B (en) * 2019-12-20 2024-03-26 北京理工新源信息科技有限公司 Power battery capacity attenuation prediction method and system
CN113554200B (en) * 2020-04-23 2024-02-27 广州汽车集团股份有限公司 Method, system and equipment for predicting voltage inconsistency of power battery
CN116577673B (en) * 2023-07-12 2023-09-12 深圳先进储能材料国家工程研究中心有限公司 Distributed neural network-based energy storage power station fault diagnosis method and system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09236641A (en) * 1995-12-28 1997-09-09 Yazaki Corp Battery residual quantity measurement device
US5936385A (en) * 1995-10-31 1999-08-10 U.S. Philips Corporation System monitoring the discharging period of the charging/discharging cycles of a rechargeable battery, and host device including a smart battery
US6064180A (en) * 1996-10-29 2000-05-16 General Motors Corporation Method and apparatus for determining battery state-of-charge using neural network architecture
EP1081499A1 (en) * 1998-05-28 2001-03-07 Toyota Jidosha Kabushiki Kaisha Means for estimating charged state of battery and method for estimating degraded state of battery

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5936385A (en) * 1995-10-31 1999-08-10 U.S. Philips Corporation System monitoring the discharging period of the charging/discharging cycles of a rechargeable battery, and host device including a smart battery
JPH09236641A (en) * 1995-12-28 1997-09-09 Yazaki Corp Battery residual quantity measurement device
US6064180A (en) * 1996-10-29 2000-05-16 General Motors Corporation Method and apparatus for determining battery state-of-charge using neural network architecture
EP1081499A1 (en) * 1998-05-28 2001-03-07 Toyota Jidosha Kabushiki Kaisha Means for estimating charged state of battery and method for estimating degraded state of battery

Also Published As

Publication number Publication date
GB2386709A (en) 2003-09-24
GB0206316D0 (en) 2002-05-01

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20080318