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MX2019000755A - Sistema para la administracion de bateria. - Google Patents

Sistema para la administracion de bateria.

Info

Publication number
MX2019000755A
MX2019000755A MX2019000755A MX2019000755A MX2019000755A MX 2019000755 A MX2019000755 A MX 2019000755A MX 2019000755 A MX2019000755 A MX 2019000755A MX 2019000755 A MX2019000755 A MX 2019000755A MX 2019000755 A MX2019000755 A MX 2019000755A
Authority
MX
Mexico
Prior art keywords
parameter
temperature
battery system
voltage
measurements
Prior art date
Application number
MX2019000755A
Other languages
English (en)
Inventor
w adamson George
Belkacem-Boussaid Kamel
Original Assignee
Eos Energy Storage Llc
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 Eos Energy Storage Llc filed Critical Eos Energy Storage Llc
Publication of MX2019000755A publication Critical patent/MX2019000755A/es

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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]
    • G01R31/3644—Constructional arrangements
    • G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • 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]
    • G01R31/371—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
    • 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]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • 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
    • G06N3/0499—Feedforward networks
    • 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
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other DC sources, e.g. providing buffering
    • H02J7/56—
    • H02J7/80—
    • H02J7/82—
    • H02J7/84—
    • H02J7/977—
    • H02J7/42—
    • H02J7/50—
    • H02J7/865—
    • H02J7/94—
    • 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
    • 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
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Feedback Control In General (AREA)

Abstract

Un método incluye recibir mediciones de la corriente de al menos un sensor de corriente configurado para medir la corriente de un sistema de batería en comunicación con una red de distribución de energía que tiene una central eléctrica. El método también incluye recibir mediciones del voltaje de al menos un sensor de voltaje configurado para medir el voltaje del sistema de batería y mediciones de temperatura de al menos un sensor de temperatura configurado para medir la temperatura del sistema de batería. El método incluye determinar un parámetro de la impedancia del sistema de batería con base en las mediciones recibidas, un parámetro de la temperatura del sistema de batería con base en las mediciones recibidas, un parámetro del voltaje pronosticado con base en el parámetro de la impedancia, y un parámetro de temperatura pronosticado con base en el parámetro de la temperatura. El método incluye ordenar al sistema de batería cargar energía de la central eléctrica o descargar energía de la central eléctrica con base en el parámetro de voltaje pronosticado y el parámetro de temperatura pronosticado.
MX2019000755A 2016-07-22 2017-07-19 Sistema para la administracion de bateria. MX2019000755A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662365455P 2016-07-22 2016-07-22
PCT/US2017/042725 WO2018017644A1 (en) 2016-07-22 2017-07-19 Battery management system

Publications (1)

Publication Number Publication Date
MX2019000755A true MX2019000755A (es) 2019-05-20

Family

ID=60990137

Family Applications (2)

Application Number Title Priority Date Filing Date
MX2019000755A MX2019000755A (es) 2016-07-22 2017-07-19 Sistema para la administracion de bateria.
MX2022009093A MX2022009093A (es) 2016-07-22 2019-01-17 Sistema para la administracion de bateria.

Family Applications After (1)

Application Number Title Priority Date Filing Date
MX2022009093A MX2022009093A (es) 2016-07-22 2019-01-17 Sistema para la administracion de bateria.

Country Status (13)

Country Link
US (2) US10879708B2 (es)
EP (1) EP3488512A1 (es)
JP (1) JP7030777B2 (es)
KR (1) KR102409009B1 (es)
CN (1) CN109769400A (es)
AU (1) AU2017298360C9 (es)
BR (1) BR112019001070A2 (es)
CA (1) CA3031092C (es)
EA (1) EA201990062A1 (es)
IL (1) IL264264B2 (es)
MX (2) MX2019000755A (es)
TW (1) TW201817113A (es)
WO (1) WO2018017644A1 (es)

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AU2017298360A1 (en) 2019-01-31
AU2017298360B2 (en) 2021-09-23
EA201990062A1 (ru) 2019-07-31
WO2018017644A9 (en) 2018-04-19
IL264264B2 (en) 2023-02-01
JP2019528032A (ja) 2019-10-03
US20190280493A1 (en) 2019-09-12
AU2017298360C9 (en) 2022-01-27
BR112019001070A2 (pt) 2019-05-07
CA3031092A1 (en) 2018-01-25
CN109769400A (zh) 2019-05-17
IL264264B (en) 2022-10-01
US20180026454A1 (en) 2018-01-25
IL264264A (en) 2019-02-28
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EP3488512A1 (en) 2019-05-29
US11368030B2 (en) 2022-06-21
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CA3031092C (en) 2023-01-17
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