WO2016200319A1 - A method and a monitoring unit for monitoring a battery system - Google Patents

A method and a monitoring unit for monitoring a battery system Download PDF

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Publication number
WO2016200319A1
WO2016200319A1 PCT/SE2016/050540 SE2016050540W WO2016200319A1 WO 2016200319 A1 WO2016200319 A1 WO 2016200319A1 SE 2016050540 W SE2016050540 W SE 2016050540W WO 2016200319 A1 WO2016200319 A1 WO 2016200319A1
Authority
WO
WIPO (PCT)
Prior art keywords
battery
battery cell
battery system
cell units
impedance
Prior art date
Application number
PCT/SE2016/050540
Other languages
English (en)
French (fr)
Inventor
Pontus Svens
Original Assignee
Scania Cv Ab
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 Scania Cv Ab filed Critical Scania Cv Ab
Priority to DE112016002067.8T priority Critical patent/DE112016002067T5/de
Publication of WO2016200319A1 publication Critical patent/WO2016200319A1/en

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389Measuring internal impedance, internal conductance or related variables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

Definitions

  • the invention relates to a method of monitoring a battery system according to the preamble of claim 1 and to a monitoring unit according to the independent device claim.
  • the invention is particularly intended for use with battery systems in electrified vehicles.
  • the invention also relates to a computer program , a computer program product, an electronic control unit, and a motor vehicle.
  • Electrified vehicles both hybrid vehicles and pure electric drive vehicles, use batteries comprising a number of individual battery cell units connected in series, each comprising one or more battery cells connected in parallel .
  • Internal sensors are used to monitor parameters such as temperature, current and voltage within the battery, and those parameters are used to determine the present condition of the battery.
  • parameters such as temperature, current and voltage within the battery, and those parameters are used to determine the present condition of the battery.
  • different aspects of the battery's condition are of interest, e.g. the ability to deliver a particular electric power or to support a desired load when requested, or the state of charge (SOC) of the battery.
  • SOC state of charge
  • the individual battery cell units of the battery typically have slightly different capacities and may be at different levels of state of charge.
  • the battery In order to minimize wear on the battery and maximize battery life and run time, the battery periodically needs to be balanced. In other words, energy is transferred to or from individual cell units until all cell units are at the same level of state of charge.
  • US 2012/0068715 discloses a battery system comprising a plurality of battery cell units and a battery balancing module for balancing the battery.
  • the battery system is further provided with monitoring units arranged to monitor performance related parameters for individual battery cell units, such as state of charge, output voltage, temperature, impedance, etc. Those parameters are thereafter stored in a memory on the monitoring unit and can be used to estimate battery life.
  • This object is, according to a first aspect of the invention, achieved by the initially defined method of monitoring a battery system .
  • the method is characterized in that the measurement data used to determine the at least one performance related parameter are collected during a balancing process of the battery system.
  • the impedance and the capacity can be used on their own, or preferably together, to predict the state-of-health of the battery system.
  • the impedance becomes too high, e.g. when it exceeds a predetermined threshold level , the battery system is no longer able to deliver sufficient power.
  • the capacity is reduced, the run time of the battery decreases and it needs more frequent recharging.
  • the method according to the invention is particularly suitable for use in hybrid vehicles, in which the battery system is generally used in a relatively narrow state of charge range, i.e. it is rarely fully charged or fully discharged.
  • the battery system of a hybrid vehicle operates at a state of charge of 20-50% of full charge.
  • the determined change in capacity and/or impedance of the battery system over time may be stored in a database in a vehicle comprising the battery system, or transferred to an external database, e.g. at a service center.
  • the transfer of data may be either by continuous wireless transfer, or upon service of the vehicle. Since data relating to each individual cell unit are stored, it is also possible to use stored data to see if an individual battery cell unit is impaired, and not only to monitor the overall capacity and/or impedance of the battery system .
  • said measurement data are collected at least at the start and/or at the end of the balancing process.
  • a known resistance is switched in parallel with each battery cell unit and a step in voltage and current occurs.
  • the voltage and current characteristics following the step may be used to accurately determine the impedance of the individual battery cell unit. This may be done either at the start or at the end of the balancing process, or for an even more accurate determination, both at the start and at the end.
  • said measurement data relate to at least voltage, current and temperature. Using these measurement data, it is possible to determine both the impedance and the capacity of the battery system with sufficient accuracy.
  • a learning process is used in the step of determining the change in capacity and/or in impedance of the battery system over time. This is very useful for battery types having a flat discharge curve within a certain state of charge window, for which it is generally difficult to determine the state of charge by measuring the voltage at the start of the balancing process.
  • a learning process such as a neural network or a support vector machine (SVM)
  • the at least one performance related parameter includes at least one of state of charge of the battery cell unit and impedance of the battery cell unit. These performance related parameters are both possible to directly determine from the available measurement data, such as current, temperature and voltage.
  • the state of charge may preferably be used for the determination of the capacity of the battery system while the impedance of the individual battery cell units is used to obtain the overall impedance of the battery system.
  • said measurement data are collected both at the start and at the end of the balancing process, and a change in capacity of the battery system over time is determined based on stored data relating to a change in state of charge of each of the battery cell units from the start to the end of the balancing process.
  • the state of charge of each battery cell unit at the end of the balancing process is well known through the measured voltage and is therefore suitable to use as a reference point.
  • the state of charge at the start of the balancing process may or may not be easy to define by the measured cell voltage, depending on battery chemistry, and it may be necessary to use a learning process to more accurately determine the state of charge at the beginning of the balancing process.
  • the impedance of each of the battery cell units is determined based on measurement data collected in connection with switching in and out a known resistance in parallel with each of the battery cell units. This is practical, since a step in current and voltage results upon switching, and the quotient between the voltage and current characteristics following the switch, e.g. during the second immediately following the switch, are suitable for use to accurately determine the impedance of the individual battery cell units. Since balancing resistors of the battery system are switched in at the start and out at the end of the balancing process, it is suitable to determine the impedance based on measurement data collected at the start and at the end of the balancing process.
  • a change in impedance of the battery system over time is determined based on stored data relating to the impedance of each of the battery cell units. This is an efficient way to determine the change in impedance of the battery system over time.
  • the above defined object is achieved by a monitoring unit for monitoring a battery system as initially defined.
  • the monitoring unit is characterized in that it is configured to use measurement data collected during a balancing process of the battery system to determine said at least one performance related parameter.
  • the invention also relates to a computer program having the features of claim 1 0, a computer program product having the features of claim 1 1 , an electronic control unit having the features of claim 12 and a motor vehicle according to claims 1 3 and 14.
  • FIG. 1 schematically shows a monitoring unit according to embodiment of the invention and a battery system
  • Fig . 2 is a flow chart showing a method according to an embodiment of the invention
  • Fig . 3 is a flow chart showing a method according to another embodiment of the invention.
  • Fig. 4 schematically shows an electronic control
  • a battery system 1 is schematically shown in fig. 1 .
  • the battery system 1 comprises three battery cell units 2 connected in series. Each individual battery cell unit 2 comprises two battery cells 3 connected in parallel.
  • the battery system 1 comprises a balancing module 8, comprising a known resistance in the form of a resistor 4 connected in parallel with each of the battery cell units 2 via a switch 5.
  • a switch 13 is provided for connecting and disconnecting the battery system 1 to a load (not shown) , such as an electric motor, and/or a battery charging unit (not shown).
  • a load not shown
  • the number of battery cells 3 within each battery cell unit 2 may vary, as well as the number of battery cell units 2.
  • the number of battery cell units 2 may be several hundred in practical applications, such as in the battery system of a hybrid vehicle.
  • the shown battery system 1 for simplicity and ease of illustration only comprises a limited number of individual battery cell units 2 and battery cells 3. Furthermore, individual components of the battery cell unit 2 are in fig. 1 for clarity only marked in one of the shown battery cell units 2.
  • the battery system 1 is provided with a monitoring unit 10 according to an embodiment of the invention.
  • the monitoring unit 10 comprises measurement means for collecting measurement data, including voltmeters 6 for measuring the voltage across each of the battery cell units 2, an ammeter 7 for measuring the current through the battery system 1 , and temperature sensors 9 for measuring the temperature within individual battery cell units 2.
  • the monitoring unit 10 further comprises data storage means 1 1 and processing means 1 2.
  • collected measurement data and data calculated by means of the processing means 12 may be stored in a database.
  • the processing means 12 is configured to, based on stored data relating to voltage, current and temperature, determine at least one performance related parameter for each of the battery cell units 2, such as state of charge (SOC) and/or impedance.
  • SOC state of charge
  • the processing means 12 is further configured to determine a change in capacity and/or impedance of the battery system 1 over time based on stored data relating to state of charge and/or impedance of individual battery cell units 2.
  • the monitoring unit and the method according to the invention is suitably used for monitoring a battery system in a hybrid vehicle, used for powering an electric motor.
  • the method is performed during balancing of the battery system 1 , when the electric motor is inactive.
  • fig. 2 illustrating a method according to an embodiment of the invention, in which the capacity of the battery system 1 is monitored. According to the shown embodiment, the method is initiated at the start of a balancing process of the battery system 1 .
  • a first step A1 measurement data relating to temperature in, current through and voltage across each individual battery cell unit 2 are collected using the temperature sensors 9, ammeter 7, and the voltmeters 6.
  • a step A2 the state of charge (SOC) for each of the individual battery cell units 2 is determined based on the collected measurement data using the processing means 12.
  • the determined states of charge are stored in a database in the data storage means 1 1 in a step A3. At least at the end of the balancing process, steps A1 -A3 are repeated. It is also possible to repeat steps A1 -A3 several times during the balancing process, until the balancing process ends. A time series of data is thereby stored in the database.
  • a step A4 a change in state of charge ASOC from the beginning of the balancing process to the end of the balancing process is calculated in the processing means 12. From the change ASOC of each individual battery cell unit 2, the current capacity of the battery system 1 can be calculated in a step A5.
  • the state of charge of each battery cell unit 2 can be easily determined from the measured voltage across the battery cell unit 2 by comparison with a known discharge curve of the battery system 1 .
  • the state of charge at the beginning of the balancing process can be more difficult to determine from the measured voltage. This is the case e.g . for battery types with a relatively flat discharge curve, for which a particular voltage across the battery cell unit 2 cannot be unambiguously associated with a particular state of charge.
  • a learning process such as a neural network or a support vector machine (SVM) may therefore be used to more accurately be able to determine the state of charge at the beginning of the balancing process.
  • SVM support vector machine
  • the method is used to monitor the impedance of the battery system 1 .
  • the method is initiated at the start of a balancing process of the battery system 1 .
  • the resistors 4 are switched in using the switch 5, resulting in a step in current through and voltage across each individual battery cell unit 2.
  • the method is initiated at the end of the balancing process, when the resistors 4 are switched out and another step in current and voltage occurs.
  • a step B1 measurement data relating to temperature in, current through and voltage across each individual battery cell unit 2 during the time period immediately following the switch are collected.
  • a step B2 the quotient between the voltage and current characteristics following the switch are used to determine the impedance of the individual battery cell units 2.
  • the determined impedance of each individual battery cell unit 2 is stored in a database in a step B3.
  • the impedance of the battery system 1 is determined using the stored data relating to the impedance of each individual battery cell unit 2. Since balancing resistors 4 of the battery system are switched in at the start and out at the end of the balancing process, it is suitable to determine the impedance based on measurement data collected at the start and at the end of the balancing process. It is also possible to determine the impedance based on data measured only on one occasion during the balancing process.
  • the collection of measurement data is preferably done at the end of the balancing process, when the battery cell unit 2 is at a well-known state of charge.
  • the method according to the embodiments shown in fig . 2 and 3 may be combined, so that both the capacity and the impedance of the battery system 1 is monitored.
  • the determined impedance and/or capacity of the battery system 1 may be stored in a central database to allow a comparison over time.
  • This database may be located at e.g. a service center of a vehicle in which the battery system 1 is mounted. Data may be transferred either continuously using wireless transmission, or upon service of the vehicle.
  • the monitored changes in impedance and/or capacity over time allow a vehicle supplier to predict when the battery system of the vehicle will need to be exchanged. On one hand, this allows prevention of a situation in which the determined capacity of the battery system is found to be too low or the impedance is found to be too high for satisfactory operation of the battery. On the other hand, it also prevents too frequent battery system exchanges, thus reducing the total cost per travelled kilometer.
  • Computer program code for implementing a method according to the invention is suitably included in a computer program which is readable into an internal memory of a computer, such as the internal memory of an electronic control unit of a motor vehicle.
  • a computer program is suitably provided through a computer program product comprising a data storing medium read- able by an electronic control unit, which data storing medium has the computer program stored thereon.
  • Said data storing medium is for example an optical data storing medium in the form of a CD-ROM-disc, a DVD-disc, etc. , a magnetic data storing medium in the form of a hard disc, a diskette, a tape etc. , or a Flash memory or a memory of the type ROM, PROM, EPROM or EEPROM.
  • Fig . 4 illustrates very schematically an electronic control unit 40 comprising an execution means 41 , such as a central processor unit (CPU), for executing a computer program.
  • the execution means 41 communicates with a memory 42, for example of the type RAM, through a data bus 43.
  • the control unit 40 comprises also a non-transitory data storing medium 44, for example in the form of a Flash memory or a memory of the type ROM, PROM, EPROM or EEPROM.
  • the execution means 41 communicates with the data storing medium 44 through the data bus 43.
  • a computer program comprising computer program code for implementing a method according to the invention is stored on the data storing medium 44.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
PCT/SE2016/050540 2015-06-09 2016-06-07 A method and a monitoring unit for monitoring a battery system WO2016200319A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DE112016002067.8T DE112016002067T5 (de) 2015-06-09 2016-06-07 Verfahren und Überwachungseinheit zum Überwachen eines Batteriesystems

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE1550770-0 2015-06-09
SE1550770A SE539562C2 (en) 2015-06-09 2015-06-09 A method and a monitoring unit for monitoring a battery system

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WO2016200319A1 true WO2016200319A1 (en) 2016-12-15

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DE (1) DE112016002067T5 (de)
SE (1) SE539562C2 (de)
WO (1) WO2016200319A1 (de)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111999666A (zh) * 2020-08-11 2020-11-27 东莞维科电池有限公司 一种锂离子电芯扩散阻抗的定量测试方法
KR102367775B1 (ko) * 2021-08-17 2022-02-24 울산대학교 산학협력단 배터리 셀의 임피던스를 실시간으로 측정하기 위한 장치 및 방법
US11955610B2 (en) 2020-02-11 2024-04-09 Volkswagen Aktiengesellschaft Method for categorizing a battery, battery, battery recycling system, and motor vehicle

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019200510A1 (de) 2019-01-16 2020-07-16 Audi Ag Messanordnung, Hochvoltbatterie, Kraftfahrzeug und Verfahren zum Bestimmen einer komplexen Impedanz
CN116331063B (zh) * 2023-05-30 2023-10-20 苏州清研精准汽车科技有限公司 电池系统及其数据测量方法和车辆

Citations (3)

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Publication number Priority date Publication date Assignee Title
US20120068715A1 (en) * 2009-05-19 2012-03-22 Volvo Lastvagnar Ab Modular energy storage system for driving electric motor
US20120119746A1 (en) * 2009-03-02 2012-05-17 Element Energy, Inc. Systems and methods for intelligent, adaptive management of energy storage packs
WO2014109895A2 (en) * 2013-01-11 2014-07-17 Johnson Controls Technology Company Energy storage control system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120119746A1 (en) * 2009-03-02 2012-05-17 Element Energy, Inc. Systems and methods for intelligent, adaptive management of energy storage packs
US20120068715A1 (en) * 2009-05-19 2012-03-22 Volvo Lastvagnar Ab Modular energy storage system for driving electric motor
WO2014109895A2 (en) * 2013-01-11 2014-07-17 Johnson Controls Technology Company Energy storage control system and method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11955610B2 (en) 2020-02-11 2024-04-09 Volkswagen Aktiengesellschaft Method for categorizing a battery, battery, battery recycling system, and motor vehicle
CN111999666A (zh) * 2020-08-11 2020-11-27 东莞维科电池有限公司 一种锂离子电芯扩散阻抗的定量测试方法
CN111999666B (zh) * 2020-08-11 2023-01-17 东莞维科电池有限公司 一种锂离子电芯扩散阻抗的定量测试方法
KR102367775B1 (ko) * 2021-08-17 2022-02-24 울산대학교 산학협력단 배터리 셀의 임피던스를 실시간으로 측정하기 위한 장치 및 방법

Also Published As

Publication number Publication date
DE112016002067T5 (de) 2018-01-18
SE539562C2 (en) 2017-10-10
SE1550770A1 (en) 2016-12-10

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