EP3737581A1 - Verfahren und managementsystem zum steuern und überwachen von mehreren batteriezellen eines batteriepacks sowie batteriepack - Google Patents

Verfahren und managementsystem zum steuern und überwachen von mehreren batteriezellen eines batteriepacks sowie batteriepack

Info

Publication number
EP3737581A1
EP3737581A1 EP18830883.7A EP18830883A EP3737581A1 EP 3737581 A1 EP3737581 A1 EP 3737581A1 EP 18830883 A EP18830883 A EP 18830883A EP 3737581 A1 EP3737581 A1 EP 3737581A1
Authority
EP
European Patent Office
Prior art keywords
state variables
battery
virtual
cell
battery cells
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.)
Ceased
Application number
EP18830883.7A
Other languages
German (de)
English (en)
French (fr)
Inventor
Hendrik Behrendt
Mykola Raievskyi
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.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
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 Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of EP3737581A1 publication Critical patent/EP3737581A1/de
Ceased legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B60L58/14—Preventing excessive discharging
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B60L58/15—Preventing overcharging
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods 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]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/18—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/18—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
    • B60L58/21—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules having the same nominal voltage
    • 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]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. 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]
    • G01R31/382—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
    • 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
    • H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/00304—Overcurrent protection
    • 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
    • H02J7/007—Regulation of charging or discharging current or voltage
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/545—Temperature
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/547—Voltage
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/549—Current
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/44—Control modes by parameter estimation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Y—INDEXING SCHEME RELATING TO ASPECTS CROSS-CUTTING VEHICLE TECHNOLOGY
    • B60Y2200/00—Type of vehicle
    • B60Y2200/90—Vehicles comprising electric prime movers
    • B60Y2200/91—Electric vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Y—INDEXING SCHEME RELATING TO ASPECTS CROSS-CUTTING VEHICLE TECHNOLOGY
    • B60Y2200/00—Type of vehicle
    • B60Y2200/90—Vehicles comprising electric prime movers
    • B60Y2200/92—Hybrid vehicles
    • 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
    • G01R31/005—Testing of electric installations on transport means
    • G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
    • 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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • 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
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • 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
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • the invention relates to a method for controlling and monitoring a plurality of battery cells of a battery pack by detecting state variables of the battery cells and calculating a limit value of a charging current for charging the battery cells of the battery pack from the state variables.
  • the invention also relates to a management system for controlling and monitoring a plurality of battery cells of a battery pack.
  • the invention further relates to a battery pack comprising a management system according to the invention and a plurality of battery cells.
  • Lithium-ion battery cells have high energy densities, thermal stability and extremely low self-discharge. Lithium-ion battery cells have high energy densities, thermal stability and extremely low self-discharge. Lithium-ion battery cells have high energy densities, thermal stability and extremely low self-discharge. Lithium-ion battery cells have high energy densities, thermal stability and extremely low self-discharge. Lithium-ion battery cells have high
  • a battery cell has an anode connected to a negative terminal and a cathode connected to a positive terminal.
  • Several such battery cells are electrically connected in particular in series with each other and connected to battery modules or battery packs.
  • Several such battery modules or battery packs are interconnected to form the battery system of the electric vehicle.
  • a battery pack includes a Baterie management system, which monitors the operation of the Bateriezellen and controls such that the Bateriezellen safely and sustainably operated in terms of their life.
  • the Baterie management system determines a current operating state for each Baterie cell of a Bateriepack.
  • the operating state can be determined by various parameters, for example
  • Electric vehicle which comprises a plurality of energy storage devices.
  • a plurality of state information detection devices are provided which detect state information, in particular a current, a total voltage, a cell voltage and a temperature.
  • state information in particular a current, a total voltage, a cell voltage and a temperature.
  • a Bateriesystem for an electric vehicle which comprises several Bateriezellen.
  • detection units which detect data, such as a current and a total voltage. Further data, such as a state of charge, are calculated. Based on this data, the worst Baterie cell is identified. Disclosure of the invention
  • Battery cells proposed a battery pack.
  • the battery pack is provided in particular for use in an electric vehicle. These may include a purely electrically powered vehicle, a hybrid vehicle and a plug-in hybrid vehicle.
  • the battery pack can also be used in consumer electronics products, such as
  • the battery cells of the battery pack are preferably electrically connected to one another in series.
  • Detection unit of each battery cell ever recorded a record of state variables and transmitted to a selection unit.
  • each battery cell can be assigned a separate detection unit. It can also be one
  • Detection unit may be provided, which records data sets of state variables of multiple battery cells. From the data set of state variables, a state of the battery cell can be determined.
  • State variables The selected state variables of the virtual data set can thus be extracted from the data sets of state variables of different types
  • a simulation unit creates a model of a virtual cell from the selected state variables of the virtual data record.
  • the virtual cell thus simulates a battery cell with the previously created virtual
  • State variables a state of the virtual cell can be determined.
  • a limit value of a charging current for charging the battery cells of the battery pack from the selected one of a data processing unit Calculated state variables of the virtual data set of the virtual cell.
  • the calculated limit value of the charging current is then transmitted, for example, to a central control unit of the electric vehicle.
  • the central control unit can thus limit the charging current according to this limit when charging the battery cells of the battery pack.
  • each of the battery cells may only be charged with a permissible charging current, which causes no damage to the battery cell.
  • the respective permissible charging current is dependent on the state of the battery cell. The worse the state of the battery cell, the smaller the permissible charging current. The better the state of the battery cell, the greater the permissible charging current.
  • the limit value of the charging current for charging the battery cells of the battery pack is calculated according to the invention only once from the selected state variables of the virtual cell. A separate calculation of allowable
  • Charging currents for several or even all battery cells of the battery pack is not required. If the battery cells of the battery pack are electrically connected in series with one another, the same charging current always flows through all the battery cells.
  • Data sets of state variables select those state variables which represent a worst-possible state of the virtual cell.
  • the state of the virtual cell is thus no better than the state of any battery cell of the battery pack. This ensures that the limit value of the charging current calculated in this way is not greater than the permissible limit
  • Central control unit can take into account the predicted stored in the Bateriezellen electrical energy, for example, in the determination of a range of the electric vehicle.
  • the electrical energy which can be stored in one of the battery cells is dependent on the state of the battery cell. The worse the condition of
  • Bateriezelle is, the smaller is the storable in the Bateriezelle electrical energy. The better the state of the Bateriezelle is, the larger the storable in the Bateriezelle electrical energy.
  • Data sets of state variables select those state variables which represent a worst-possible state of the virtual cell.
  • the state of the virtual cell is thus no better than the state of any battery cell of the battery pack. This ensures that the predicted electrical energy that can be stored in the battery cells is no greater than a real electrical energy that can be stored in the battery cells.
  • a power prediction unit additionally predicts an electrical power which can be maximally removed from the battery cells of the battery pack from the selected state variables of the virtual data set of the virtual cell.
  • the maximum predicted electrical power is then the Baterieellen
  • the central control unit may, for example, take into account the predicted electrical power that can be removed from the battery cells in order to limit a discharge current of the battery pack.
  • Data sets of state variables select those state variables which represent a worst-possible state of the virtual cell.
  • the state of the virtual cell is thus no better than the state of any one
  • Battery cell of the battery pack This ensures that the thus predicted electrical power which can be taken from the battery cells is not greater than a real electrical power which can be taken from the battery cells.
  • each data set of state variables of a battery cell comprises at least one voltage of the battery cell, a temperature of the battery cell, an overpotential at an anode of the battery cell, an overpotential at a cathode of the battery cell, a charge state at the anode of the battery cell and a charge state at the cathode of the battery cell , From the said
  • the state of the battery cell can be determined with sufficient accuracy.
  • the virtual data set of state variables of the virtual cell comprises at least one voltage of the battery cell, a temperature of
  • a management system for controlling and monitoring multiple battery cells of a battery pack is also proposed.
  • a management system comprises a selection unit for selecting individual state variables from a plurality of data sets of state variables, which are transmitted to the selection unit.
  • the selected state variables form a virtual data record of
  • a detection unit of each battery cell of the battery pack preferably captures a data set of state variables and transmits them acquired data sets of state variables to the selection unit of the
  • the management system according to the invention also comprises a
  • Simulation unit for creating a model of a virtual cell from the selected state variables of the virtual data record.
  • the virtual cell simulates a battery cell with the formed virtual record of
  • the management system according to the invention further comprises a
  • a data processing unit for calculating a limit value of a charging current for charging the battery cells of the battery pack from the selected ones
  • the calculated limit value of the charging current can be transmitted to a central control unit of the electric vehicle, which thus when charging the
  • Battery cell of the battery pack can limit the charging current according to this limit.
  • Selection unit from the plurality of data sets of state variables those state variables representing a worst case state of the virtual cell.
  • Management system further comprises an energy prediction unit for the prediction of a storable in the battery cells electrical energy from the selected state variables of the virtual data set of the virtual cell.
  • the so predicted in the battery cells storable electrical energy can be transmitted to a central control unit of the electric vehicle, which can take into account the predicted stored in the battery cells electrical energy, for example, in determining a range of the electric vehicle.
  • the management system further comprises a nurse josdiktionsmother for prediction of the battery cells maximum removable electrical power from the selected state variables of the virtual data set of the virtual cell.
  • the so predicted maximum power removable battery cells can be transmitted to a central control unit of the electric vehicle, which can take into account the predicted the battery cells maximum removable electrical power, for example, to limit a discharge of the battery pack.
  • a battery pack which comprises a management system according to the invention, a plurality of battery cells which are connected in series with one another, and at least one detection unit for detecting a respective set of state variables of each battery cell and for transmitting the data set to a selection unit of the management system.
  • each battery cell can be assigned a separate detection unit.
  • a detection unit which records data sets of state variables of a plurality of battery cells.
  • Electric vehicle comprising at least one battery pack according to the invention.
  • the electric vehicle may be, inter alia, a purely electrically powered vehicle, a hybrid vehicle and a plug-in hybrid vehicle.
  • the invention makes it possible to calculate or predicate important parameters for the safe and sustainable operation of the battery cells of the battery pack in a relatively simple manner and with the use of comparatively low computing power.
  • the said parameters include, inter alia, a limit value of a charging current for charging the battery cells, a maximum capacity of the battery cells removable electrical power and stored in the battery cells electrical energy.
  • the said parameters do not have to be calculated separately for each of the battery cells, or predicted, and then linked to one another, but each of the aforementioned parameters only has to be calculated or predicted once. become.
  • computing power and memory requirements are in the
  • Figure 1 is a schematic representation of a battery pack
  • Figure 2 is a schematic representation of a management system of a
  • FIG. 1 shows a schematic representation of a battery pack 5, which is provided in particular for use in an electric vehicle.
  • the battery pack 5 comprises a management system 30, which in the present case has a selection unit 32, a simulation unit 34 and a
  • Data processing unit 36 has.
  • the battery pack 5 further comprises a plurality of battery cells 2, which are electrically connected to one another in series.
  • Each battery cell 2 includes a
  • Electrode unit which has an anode 11 and a cathode 12, respectively.
  • the anode 11 of the electrode unit is connected to a negative current collector 15 of the battery cell 2.
  • the cathode 12 of the electrode unit is connected to a positive current collector 16 of the battery cell 2.
  • a separator 18 is arranged between the anode 11 and the cathode 12.
  • the negative current collector 15 of a battery cell 2 is electrically connected to the positive current collector 16 of the adjacent battery cell 2.
  • the battery cells 2 of the battery pack 5 are traversed by a charging current I in the illustration shown here. Due to the electrical serial
  • the battery pack 5 also comprises a plurality of detection units 20.
  • each battery cell 2 is assigned a detection unit 20.
  • Each of the detection units 20 each records a data set of state variables of the associated battery cell 2.
  • a detection unit 20 can also be provided, which records data sets of state variables
  • the battery pack 5 thus includes the management system 30 and the battery unit 7.
  • Each data set of state variables of one of the battery cells 2 in the present case comprises a voltage of the battery cell 2 which is present between the positive current collector 16 and the negative current collector 15. Furthermore, each data set of state variables comprises a temperature of the battery cell 2, an overpotential at the anode 11, an overpotential at the cathode 12, a state of charge at the anode 11 and a state of charge at the cathode 12.
  • the data set can also comprise further state variables.
  • the acquired data sets of state variables of the battery cells 2 are transmitted by the detection units 20 to the selection unit 32 of the management system 30.
  • the selection unit 32 is thus for each battery cell 2 of the Baterie packs 5 a record, which the above described
  • the detection units 20 can be arranged close to the battery cells 2 and connected to the management system 30. However, the detection units 20 can also be integrated into the management system 30 and connected to corresponding sensors for measuring different sizes of the battery cells 2.
  • This virtual data set also includes the state variables described above.
  • the selected state variables of the virtual data record can all originate from a single battery cell 2. As a rule, however, the selected state variables of the virtual data record originate from the data sets of state variables of different battery cells 2.
  • State variables of the Bateriezellen 2 selected those state variables, which each represent a worst possible state. For example, the highest voltage of the battery cells 2, the highest temperature of the battery cells 2, the lowest overpotential at the anode 11 of the battery cells 2, the highest overpotential at the cathode 12 of the battery cells 2, the highest charge state at the anode 11 of the battery cells from all records 2 and the lowest state of charge at the cathode 12 of the Bateriezellen 2 selected.
  • a simulation of a virtual cell 8 is created by the simulation unit 34 of the management system 30.
  • the virtual cell 8 simulates a battery cell 2 with the previously created virtual data set of state variables.
  • the virtual cell 8 thus has those state variables which respectively represent the worst-possible state.
  • a limit value of a charging current I for charging the battery cells 2 of the battery pack 5 is calculated by a data processing unit 36 of the management system 30.
  • the calculated limit value of the charging current I is transmitted to a central control unit 40 of the electric vehicle.
  • the central control unit 40 can thus limit the charging current I according to this limit when charging the battery cells 2 of the battery pack 5.
  • FIG. 2 shows a schematic representation of a management system 30 of the battery pack 5.
  • the management system 30 illustrated in FIG. 2 additionally has an energy prediction unit 37 and a power prediction unit 38.
  • the selection unit 32, the simulation unit 34 and the data processing unit 36 are unchanged.
  • the selection unit 32 is connected only to a single detection unit 20, which records and transmits the data sets of state variables of all the battery cells 2.
  • Battery pack 5 storable electrical energy predicts.
  • the predicted in the battery cells 2 storable electrical energy is also transmitted to the central control unit 40 of the electric vehicle.
  • the central control unit 40 can thus the predicted in the battery cells 2 storable electrical energy in determining a range of the electric vehicle
  • Battery pack 5 predicts maximum removable electrical power.
  • the so predicted the battery cells 2 maximum removable electrical power is also transmitted to the central control unit 40 of the electric vehicle.
  • the central control unit 40 can thus take into account the predicted electrical power that can be removed from the battery cells 2 to limit, for example, a discharge current of the battery pack 5, for example during acceleration of the electric vehicle.
  • the invention is not limited to the embodiments described herein and the aspects highlighted therein. Rather, within the scope given by the claims a variety of modifications are possible, which are within the scope of expert action.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
EP18830883.7A 2018-01-08 2018-12-28 Verfahren und managementsystem zum steuern und überwachen von mehreren batteriezellen eines batteriepacks sowie batteriepack Ceased EP3737581A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018200144.8A DE102018200144A1 (de) 2018-01-08 2018-01-08 Verfahren und Managementsystem zum Steuern und Überwachen von mehreren Batteriezellen eines Batteriepacks sowie Batteriepack
PCT/EP2018/097110 WO2019134891A1 (de) 2018-01-08 2018-12-28 Verfahren und managementsystem zum steuern und überwachen von mehreren batteriezellen eines batteriepacks sowie batteriepack

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US (1) US11486935B2 (ja)
EP (1) EP3737581A1 (ja)
JP (1) JP7242683B2 (ja)
KR (1) KR20200106512A (ja)
CN (1) CN111542451B (ja)
DE (1) DE102018200144A1 (ja)
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US7321220B2 (en) 2003-11-20 2008-01-22 Lg Chem, Ltd. Method for calculating power capability of battery packs using advanced cell model predictive techniques
JP5089883B2 (ja) * 2005-12-16 2012-12-05 日立ビークルエナジー株式会社 蓄電池管理装置
DE102009045783A1 (de) 2009-10-19 2011-04-21 Robert Bosch Gmbh Verfahren zur präzisen Leistungsvorhersage für Batteriepacks
WO2011052314A1 (ja) * 2009-10-30 2011-05-05 日本碍子株式会社 二次電池の制御方法および電力貯蔵装置
US8519674B2 (en) * 2009-11-12 2013-08-27 GM Global Technology Operations LLC Method for estimating battery degradation in a vehicle battery pack
JP5725444B2 (ja) 2010-08-24 2015-05-27 スズキ株式会社 蓄電システム
US8872481B2 (en) * 2011-04-27 2014-10-28 General Electric Company Systems and methods for predicting battery power-delivery performance
JP5808605B2 (ja) * 2011-08-17 2015-11-10 株式会社日立製作所 異常検知・診断方法、および異常検知・診断システム
JP5349567B2 (ja) 2011-11-11 2013-11-20 カルソニックカンセイ株式会社 バッテリ・パックの入出力可能電力推定装置およびその方法
JP5932596B2 (ja) 2012-10-11 2016-06-08 日立オートモティブシステムズ株式会社 車両の回生制御装置
US9337680B2 (en) * 2013-03-12 2016-05-10 Ford Global Technologies, Llc Method and system for controlling an electric vehicle while charging
JP2015172557A (ja) * 2014-03-12 2015-10-01 株式会社豊田中央研究所 電池内部状態推定装置
CN105196888B (zh) * 2015-10-20 2017-05-17 西安特锐德智能充电科技有限公司 一种电动汽车充电机的充电管理***及方法

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CN111542451B (zh) 2024-04-26
US20200386824A1 (en) 2020-12-10
US11486935B2 (en) 2022-11-01
WO2019134891A1 (de) 2019-07-11
CN111542451A (zh) 2020-08-14
DE102018200144A1 (de) 2019-07-11
JP2021510059A (ja) 2021-04-08
JP7242683B2 (ja) 2023-03-20
KR20200106512A (ko) 2020-09-14

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