EP3114724A1 - Détection du mode d'exploitation d'un élément de batterie - Google Patents

Détection du mode d'exploitation d'un élément de batterie

Info

Publication number
EP3114724A1
EP3114724A1 EP15722132.6A EP15722132A EP3114724A1 EP 3114724 A1 EP3114724 A1 EP 3114724A1 EP 15722132 A EP15722132 A EP 15722132A EP 3114724 A1 EP3114724 A1 EP 3114724A1
Authority
EP
European Patent Office
Prior art keywords
battery
data
memory
storage
energy storage
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.)
Withdrawn
Application number
EP15722132.6A
Other languages
German (de)
English (en)
Inventor
Christian Körmeier
Peter Eckert
Karsten Rechenberg
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.)
Siemens AG
Original Assignee
Siemens AG
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 Siemens AG filed Critical Siemens AG
Publication of EP3114724A1 publication Critical patent/EP3114724A1/fr
Withdrawn legal-status Critical Current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
    • 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
    • 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
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • 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
    • H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • 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
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • 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
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278—Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller
    • 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

Definitions

  • the invention relates to a method for detecting the operational management of a battery storage of an energy storage system. Moreover, the invention relates to an energy storage system and a computer program.
  • a battery storage is understood below to mean a system of rechargeable storage cells. Such battery storage, for example in the form of modular battery cabinets, are used, for example, in the energy supply of industrial plants. They are used in conjunction with converters for DC and inverter operation for coupling to an electrical AC voltage network and are used to ensure a stable network operation.
  • the life of a battery storage depends heavily on its operation. Important parameters for this are, for example, the thermal load of the battery, the charging ⁇ state (SOC) and its time course, the number of charging and discharging cycles and the depth of the individual charging cycles. Also, critical events such as overcurrent, over-discharge, etc., can affect the lifetime.
  • SOC charging ⁇ state
  • BMS battery management systems
  • a core idea of the invention is to no longer store all the parameters and events of the operation management of the battery storage. Instead, a usage profile of the battery storage device that maps the operation management of the battery storage device using descriptive statistics is created. In other words, an immediate processing is detected Data, this processing preferably already includes a suitable analysis of the data, and only a "concentrate" of the collected data is stored in the form of a usage profile.
  • the user profile is thereby created continuously, ie preferably lasting and without interruptions.
  • the usage profile is constantly updated and therefore maps the current operation management up to this point in time.
  • the usage profile thus describes the operation of the battery storage throughout its life.
  • the usage profile created is preferably stored as a variable, but dau ⁇ erhafter, that is non-erasable, non übertechnikbarer record.
  • Suitable data are recorded and verar beitet ⁇ .
  • these data include selected battery operating parameters, battery operating events, and / or
  • Battery states of the battery storage in particular the Be ⁇ operating hours and the state of charge of the battery storage, including the number and duration of the charge and discharge cycles. With the aid of this data, the load on the battery storage unit and its aging can be determined particularly easily.
  • the processing of the acquired data preferably includes the determination of suitable evaluation parameters from the acquired data. Instead of the acquired data itself, only the number of evaluation parameters determined therefrom is stored.
  • the processing of the acquired data comprises creating a number of frequency distributions from the acquired data and / or from the determined evaluation parameters, in particular a generation of frequency distributions of selected operating parameters.
  • the essential characteristics of these frequency distributions such as positional dimensions (Quantiles, trends), variability and correlations (correlations) are then used as part of the user profile to characterize the operation of the battery memory.
  • the processing of the acquired data preferably comprises the creation of a number of parameters, tables and / or diagrams.
  • individual selected aspects of the collected data can be represented in a particularly simple manner in the form of a single number.
  • the collected data can be clearly arranged.
  • Diagrams present the collected data or certain aspects of this data in a particularly clear graphical representation.
  • the representation in the form of tables and / or graphics is preferably used to map the frequency distribution of the operating parameters.
  • a suitable data acquisition unit for carrying out the invention.
  • the data acquisition unit is designed to generate the operating profile of the operation of the battery storage device using descriptive statistics.
  • the data acquisition unit is preferably the battery management system of the respective battery storage, which has been suitably upgraded for this purpose.
  • the user profile can be retrieved at any later time and the data contained therein can be read out for further use. Preferably, from the created so
  • Usage profile at any time the current actual load of the battery storage can be determined and can be provided in the form of a measure. This is done either also by the data acquisition unit of the energy storage system, or with the help of an external aid such as a Ana ⁇ lysesoftware a maintenance technician, provided on the usage profile created by the Date ⁇ ner ventesaku available.
  • the advantage of the procedure according to the invention is that with little computational effort and small storage capacities an accurate image of the operation management of the battery storage can be created. This reduces the cost on the one hand. On the other hand, this can also increase the availability of the battery storage, since, for example, in good time a balance of the charge state of the cells can be made or automated, the optimal time for a balance of the charge state of the cells can be determined.
  • FIG. 1 shows a graphical representation of a battery operating ⁇ characteristic. All figures show the invention only schematically and with its essential components. The same reference numerals correspond to elements of the same or comparable function.
  • a hole formed on a medium-voltage network modular energy ⁇ storage system 1 is shown in Fig. 1
  • the Energyspei ⁇ chersystem 1 comprises a plurality of storage containers 2, and a central control unit 3.
  • a plurality of energy storage cabinets 4 are provided with in each case a combined control, regulation and power supply unit 5 is provided with a converter fourteenth
  • Each energy storage cabinet 4 are composed of multiple Li-ion battery modules Batte ⁇ memory 6 and a battery management system 7 to Control of the state of charge of the battery storage 6 is provided.
  • the rated power of an energy storage cabinet 4 is for example 32kW to 96kW.
  • characteristic ranges, events and states are first defined.
  • the accumulator 6 is then accumulated in time by accumulation of characteristic ranges by the battery management systems 7 of each individual energy storage cabinet 4.
  • the respective parameter is divided into quantiles and the frequency of the measurement ⁇ value recorded in this quantile. In this way, the course of a parameter can be very easily, accurately and with little to be provided by the battery management system 7 available storage space on a table in which the quantiles and quantiles corresponding to these quantiles are detected.
  • the time-cumulative detection of the characteristic range allows a very quick and relative accurate inference to the operation of the corresponding battery memory 6 and can therefore serve as proof of proper operation. If the representation of the data, for example, as a bar chart of the operating hours in corresponding states of charge, as shown in Figure 2, it can be seen at a glance, whether the respective battery memory 6 was operated evenly or primarily in a particular area.
  • the possible state of charge 15 of a battery storage 6 is shown in FIG twenty equally sized 5% areas 11 divided.
  • the battery storage 6 has been located within which area 11.
  • a distinction is made as to whether the battery storage 6 has been in a no-load idle state or whether the battery storage 6 has been charged or discharged.
  • a bar 8 for displaying the operating hours 12 in the idle state a bar 9 for disturbing the operating hours 12 in the state of charge and a bar 10 for displaying the operating hours 12 shown in the discharge state.
  • the battery management system 7 for example on a screen 13 of a man-machine interface used by a maintenance technician of the energy storage system 1, can now be to a Look recognize that the battery memory in question 6 was mainly in a lower range of state of charge (10% to 30% state of charge), which is not optimal for a battery storage Li-ion-based.
  • state of charge 10% to 30% state of charge
  • Range of the optimal state of charge could be additionally shown, which would improve the rapid assessment of this measure again. It can also be seen from the length of the bars 9, 10 from FIG. 2 that the battery store 6 always requires longer to load than to unload. Can also be seen indirectly un ⁇ the ratio between the charging and discharging depending on the state of charge of the battery storage. 6
  • the meter detectors can also be determined whether the battery storage 6 were increasingly operated in critical areas.
  • the meter detectors can also be analyzed which is the ratio of hours of operation or hours since initial operation to the number of charge and discharge cycles. This value provides information on the general burden of Batte ⁇ rietechnisch 6th
  • Energy consumption Energy meter for the total energy supply (active and reactive power) from the grid for the plant.
  • Energy supply Energy meter for the total energy output (active and reactive power) in the network for the plant.
  • Number of charge cycles Counter for the number of cycles at which the storage was loaded.
  • Minimum temperature smallest ever reached temperature of the battery storage.
  • nachfol ⁇ constricting faults and alarms can be detected.
  • - Number of short-circuit trips Counter for the number of short-circuit trips reported by the memory, ie the memory has switched off with a short circuit.
  • - Number of temperature warnings Counter for the number of temperature warnings reported by the memory, ie every new message "Temperature warning” is counted
  • - Number of overvoltage trips Counter for the number of overvoltage trips reported by the memory, ie the memory has switched off with overvoltage.
  • the storage and / or evaluation of the collected data of the individual battery storage 6 can also be summarized for the entire Storage container 2 carried out in a correspondingly formed control unit 16 of the inverter 14, wherein the data to be detected are passed either directly from the battery storage 6 or via the corresponding battery management systems 7 to the control unit 16. Accordingly, storage and / or evaluation of the acquired data for a plurality of storage containers 2 can also take place in the central control unit 3 of the energy storage system 1.
  • the energy storage system 1 according to the invention is designed to carry out the method described.
  • a data processing unit adapted for carrying out all steps according to the method described here, which are related to the processing of data.
  • the data processing unit preferably has a number of functional modules, wherein each functional module is designed to perform a specific function or a number of specific functions according to the described method.
  • the function modules can be hardware modules or software modules.
  • the invention can be implemented either in the form of computer hardware or in the form of computer software or in a combination of hardware and software.
  • the invention in the form of software ie as a computer program is realized, all the functions described are realized by computer program instructions when the computer program is executed on a computer with a processor.
  • the computer program instructions are implemented in a manner known per se in any programming language and can be provided to the computer in any form, for example in the form of data packets which are transmitted via a computer network, or in the form of a diskette, a CD ROM or other computer stored software.
  • the described methodology can also be applied to other systems whose loading or service life is based on a Analysis of the operation as a function of parameters (such as current or voltage) can be determined.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

L'invention concerne un procédé de détection du mode d'exploitation d'un élément de batterie d'un système d'accumulation d'énergie. Selon l'invention, pour résoudre de manière pratique le problème de la détection du mode d'exploitation d'un élément de batterie (6), on génère en continu un profil d'utilisation (8, 9, 10), qui décrit le mode d'exploitation de l'élément de batterie (6), en utilisant des outils de la statistique descriptive.
EP15722132.6A 2014-05-05 2015-05-04 Détection du mode d'exploitation d'un élément de batterie Withdrawn EP3114724A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102014208316.8A DE102014208316A1 (de) 2014-05-05 2014-05-05 Erfassen der Betriebsführung eines Batteriespeichers
PCT/EP2015/059646 WO2015169717A1 (fr) 2014-05-05 2015-05-04 Détection du mode d'exploitation d'un élément de batterie

Publications (1)

Publication Number Publication Date
EP3114724A1 true EP3114724A1 (fr) 2017-01-11

Family

ID=53175463

Family Applications (1)

Application Number Title Priority Date Filing Date
EP15722132.6A Withdrawn EP3114724A1 (fr) 2014-05-05 2015-05-04 Détection du mode d'exploitation d'un élément de batterie

Country Status (6)

Country Link
US (1) US10197633B2 (fr)
EP (1) EP3114724A1 (fr)
CN (1) CN106233151B (fr)
AU (1) AU2015257863A1 (fr)
DE (1) DE102014208316A1 (fr)
WO (1) WO2015169717A1 (fr)

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US9931956B2 (en) * 2015-12-30 2018-04-03 Thunder Power New Energy Vehicle Development Company Limited Battery management system
DE102016222796A1 (de) * 2016-11-18 2018-05-24 Robert Bosch Gmbh Batterie mit bereichsweiser Temperierung
DE102017202855A1 (de) 2017-02-22 2018-09-13 Siemens Aktiengesellschaft Batterieschrank
US20190190091A1 (en) * 2017-12-18 2019-06-20 Samsung Electronics Co., Ltd. Method and apparatus estimating a state of battery
DE102018211864A1 (de) * 2018-07-17 2020-01-23 Siemens Schweiz Ag Erfassung der Betriebsstunden eines elektrischen Gerätes
FR3084169B1 (fr) * 2018-07-17 2020-07-17 Zodiac Aero Electric Procede de determination de l'etat de fonctionnement d'une batterie et batterie mettant en oeuvre un tel procede
FR3107597B1 (fr) * 2020-02-26 2022-01-28 Renault Sas Procédé d’estimation de l’état de santé énergétique d’une batterie
CN111814099B (zh) * 2020-09-07 2020-12-25 国网浙江浙电招标咨询有限公司 一种指导招标采购用的电化学储能系统评价方法
DE102021104236A1 (de) 2021-02-23 2022-08-25 Sma Solar Technology Ag Transfereinheit, system und verfahren zum durchführen eines batterieinternen ausgleichsvorgangs
WO2023146680A1 (fr) * 2022-01-31 2023-08-03 Google Llc Méthodologies de détection de tension nulle de batterie et leurs applications

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US6549014B1 (en) * 2002-02-15 2003-04-15 Power Designers, Llc Battery monitoring method and apparatus
US8482258B2 (en) 2005-03-04 2013-07-09 Philadelphia Scientific Llc Device and method for monitoring life history and controlling maintenance of industrial batteries
EP1941289B1 (fr) * 2005-10-28 2010-12-22 TEMIC Automotive Electric Motors GmbH Procede et dispositif pour determiner l'etat de vieillissement d'un accumulateur
FI118656B (fi) 2006-05-05 2008-01-31 Finnish Electric Vehicle Techn Menetelmä ja laitteisto akkukennojen hoitamiseksi
DE102007021921B4 (de) * 2007-05-10 2009-03-19 Siemens Ag Vorrichtung zum Überwachen eines Energiespeichers
DE102010031337A1 (de) 2010-07-14 2012-01-19 Sb Limotive Company Ltd. Verfahren zur Ermittlung der voraussichtlichen Lebensdauer wenigstens einer Batteriezelle, Batterie mit einer Mehrzahl von Batteriezellen und Kraftfahrzeug
DE102011008466A1 (de) 2011-01-13 2012-07-19 Li-Tec Battery Gmbh Batterie mit Steuereinrichtung und Verfahren zum Betrieb dieser Batterie
CN103918120B (zh) * 2011-10-11 2016-07-06 新神户电机株式会社 铅蓄电池系统
DE102012206336A1 (de) * 2012-04-18 2013-10-24 Robert Bosch Gmbh Datenspeicher für einen elektrischen Energiespeicher
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Also Published As

Publication number Publication date
DE102014208316A1 (de) 2015-11-05
US10197633B2 (en) 2019-02-05
AU2015257863A1 (en) 2016-11-17
US20170052229A1 (en) 2017-02-23
CN106233151B (zh) 2019-07-12
WO2015169717A1 (fr) 2015-11-12
CN106233151A (zh) 2016-12-14

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