WO2022242926A1 - Verfahren und steuergerät zum bestimmen einer energiemenge in einer batterie oder batteriezelle - Google Patents
Verfahren und steuergerät zum bestimmen einer energiemenge in einer batterie oder batteriezelle Download PDFInfo
- Publication number
- WO2022242926A1 WO2022242926A1 PCT/EP2022/056242 EP2022056242W WO2022242926A1 WO 2022242926 A1 WO2022242926 A1 WO 2022242926A1 EP 2022056242 W EP2022056242 W EP 2022056242W WO 2022242926 A1 WO2022242926 A1 WO 2022242926A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- battery
- voltage
- state
- charge state
- rcx
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000007599 discharging Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 description 8
- 230000001419 dependent effect Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000036962 time dependent Effects 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 239000002253 acid Substances 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 229910052987 metal hydride Inorganic materials 0.000 description 1
- JLESVLCTIOAHPT-UHFFFAOYSA-N mmai Chemical compound C1=C(C)C(OC)=CC2=C1CC(N)C2 JLESVLCTIOAHPT-UHFFFAOYSA-N 0.000 description 1
- 230000001373 regressive effect Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
Definitions
- the invention relates to a method and a control unit for determining an amount of energy in a battery or battery cell.
- An important parameter is an amount of energy that is taken from or added to the battery when it is in operation.
- a remaining range, an operating time or an amount of energy required to fully charge the battery can be determined with the aid of energy quantities.
- a quantity of energy can be determined both in the charging direction and in the discharging direction.
- an amount of energy can also be determined in intervals between states of charge (SOC) of the battery. Determining amounts of energy accurately is crucial for determining a (current) state of the battery.
- a recursive method for adaptive multi-parameter regression is known from US Pat. No. 7,612,532 B2, which is expanded by forgetting factors that are unique for each regressive parameter.
- Applications of this process can include lead-acid batteries, nickel-metal hydride batteries, and lithium-ion batteries, among others.
- a control method is presented that has an arbitrary number of model parameters, each with its own time weighting factor.
- a method for determining optimal values for the time weighting factors is included to give more effect to recently obtained system state determination data.
- a weighted recursive least squares method is used, with time weighting conforming to the exponential forgetting formalism. The derived result does not involve any matrix inversion and the procedure is iterative, ie each parameter is fed back individually at each time step.
- the invention is based on the object of creating a method and a control device for determining an amount of energy in a battery or battery cell, in which the amount of energy can be reliably determined.
- a method for determining an amount of energy in a battery or battery cell is provided, with a starting charge state being received, with a discharging state being received, with a load profile between the starting charge state and the discharging state being received, with intermediate charging states between the starting charge state and the discharging state and associated weighting factors are determined, with parameters of an equivalent circuit model of the battery or battery cell being estimated for each of the intermediate charge states determined, and with an amount of energy in the battery or battery cell between the starting charge state and the discharge state being determined on the basis of the load profile, the weighting factors and the parameters, and as an energy quantity signal provided.
- control unit for determining an amount of energy in a battery or battery cell
- the control unit being set up to receive an initial charge state, to receive an end charge state, to receive a load profile between the initial charge state and the end charge state, to receive intermediate charge states between the initial charge state and the To determine the final state of charge and associated weighting factors, to estimate parameters of an equivalent circuit model of the battery or battery cell for each of the intermediate states of charge determined, and to determine an amount of energy in the battery or battery cell between the initial state of charge and the final state of charge on the basis of the load profile, the weighting factors and the parameters and as provide energy quantity signal.
- the method and the control unit make it possible to determine, in particular to estimate, an amount of energy in an improved manner.
- parameters of an equivalent circuit model of the battery or the battery cell are estimated for intermediate charging states that lie within an interval between a starting charging state and an end charging state.
- the parameters are estimated, in particular, as a function of the intermediate charge state considered in each case.
- a temperature or a temperature dependency is taken into account when estimating the parameters.
- the parameters are therefore dependent in particular on the respective intermediate charging state and the prevailing temperature.
- the temperature can be detected, for example, by means of a temperature sensor on the battery or battery cell, or it can be provided in some other way, for example, it can be estimated.
- the amount of energy in the battery or battery cell between the starting charge state and the end charge state is determined.
- the determined amount of energy is provided as an energy amount signal.
- the energy quantity signal can be analog or digital.
- the energy quantity signal can be transmitted to a battery controller and/or a vehicle controller or a charging infrastructure, for example.
- One advantage of the method and the control unit is that losses occurring in the battery or battery cell can be taken into account in an improved manner by taking into account state-of-charge-dependent and, in particular, also temperature-dependent parameters. The amount of energy between the initial charging state and the final charging state can therefore be determined in an improved manner.
- the starting state of charge and the discharge state are in particular between a minimum state of charge and a maximum state of charge of the battery or battery cell.
- the starting state of charge and the discharged state of charge are received, for example, as an analog or digital signal from the initial state of charge and as an analog or digital signal from the discharged state of charge, for example from a battery controller and/or a vehicle controller.
- the starting state of charge and the discharge state can also be queried from a battery controller or a vehicle controller.
- a load profile refers in particular to a current during charging and/or during discharging between the initial charging state and the final charging state.
- the load profile can be based on recorded sensor data (current measurement) as well as on specified, e.g. simulated or estimated data.
- the load profile can be time-resolved.
- the parameters of the equivalent circuit model can, for example, have been determined empirically for different states of charge and temperatures of the battery.
- the parameters determined are then stored in a memory, in particular in the control unit, and can be called up as required and, if necessary, made available in an interpolated form if the parameters are to be estimated for an intermediate charging state. It is however, alternatively or additionally, it is also possible to determine and/or estimate the parameters by simulation.
- the determined intermediate charge states form, in particular, interpolation points in a numerical integration carried out to determine the amount of energy.
- the selected numerical integration method specifies the intermediate charge states and the associated weighting factors as support points.
- an amount of energy can be determined within any desired state of charge interval by integration over a voltage of the battery or battery cell.
- open or closed Newton-Cotes formulas can be selected as numerical integration methods, in which uniformly distributed interpolation points are used. Support points that are not uniformly distributed can also be used by means of Gauss-Legendre squaring. The methods differ in the choice of support points, but the rest of the procedure is the same.
- the integral is always calculated as the weighted sum of the stresses at the interpolation points. In principle, however, other numerical integration methods can also be used.
- Parts of the control device can be designed individually or combined as a combination of hardware and software, for example as program code that is executed on a microcontroller or microprocessor. However, it can also be provided that parts are designed individually or combined as an application-specific integrated circuit (ASIC) or field-programmable gate array (FPGA).
- ASIC application-specific integrated circuit
- FPGA field-programmable gate array
- the method and the control device can be used in particular in a vehicle, in particular a motor vehicle.
- a vehicle can also be another land, rail, water, air or space vehicle, for example a drone or an air taxi.
- the method and the control unit can also be used in other mobile or stationary energy stores.
- an amount of energy can be calculated as follows:
- Q N0 mmai is a capacity of the battery or battery cell with the unit Ah (ampere hours)
- SOC start is the starting charge level
- SOC End is the final charge level (each without a unit as a percentage or value between 0 and 1)
- U is the voltage of the battery or Battery cell
- SOC the state of charge of the battery or battery cell.
- the integral is solved using a numerical integration method, for example using one of the open or closed Newton-Cotes formulas:
- w t is the weighting factor at the interpolation point i corresponding to an intermediate charge state SOC t .
- the equivalent circuit model includes at least one open-circuit voltage as a voltage source, a series resistance and at least one RC element.
- the essential effects in the battery or battery cell can be taken into account; in particular, a time-dependent behavior can be taken into account by means of the at least one RC element.
- the equivalent circuit model has more than one RC element, so that multiple time-dependent processes within the battery or battery cell can also be taken into account.
- a total voltage of the battery or battery cell is determined at least from the open-circuit voltage, a series resistance voltage drop across the series resistance and an RC element voltage drop across the at least one RC element. This enables the amount of energy to be determined particularly efficiently.
- the RC elements are connected in series.
- the no-load voltage t/ ocv is estimated as a parameter by the equivalent circuit model as a function of the intermediate charge state SO.
- the load profile is received in the form of a root mean square value of a current and a mean value of the current, with the series resistance voltage dropping across the series resistance being determined from the root mean square of the current and the mean value of the current for the intermediate charging states. This allows the series resistance voltage to be reliably determined, particularly in the case of load profiles with a non-constant current curve.
- R 0 is the series resistance dependent on the intermediate charging state SO
- I RMS is the root mean square of the current
- I Avg is the mean value of the current.
- R 0 is a parameter that is estimated using the equivalent circuit model for the respective intermediate charge state.
- the average values can also be average values over a few interpolation points around the interpolation point under consideration (for example in the form of a moving average that takes into account a predetermined number of interpolation points).
- a time is determined until reaching the intermediate charge state considered in each case, with the RC element voltage starting from the certain time and a time constant of the at least one RC element is determined.
- the RC element voltage of the at least one RC element can be estimated in an improved manner and the total voltage can subsequently also be determined in an improved manner.
- t h is the time constant for the nth RC element.
- the RC element resistance R ßC n is estimated as a parameter depending on the intermediate charge state SO using the equivalent circuit model.
- the RC elements are saturated so that they can be replaced by constant resistors.
- Such a procedure is possible in particular with a constant load (constant current in the load profile) and/or large intervals between the initial charge state and the end charge state.
- 1 shows a schematic representation of an embodiment of the control device for determining an amount of energy in a battery or battery cell
- FIG. 2 shows a schematic flow chart of processing in the control unit according to an embodiment of the method
- FIG. 3 shows a schematic representation of an equivalent circuit model.
- control unit 1 shows a schematic representation of an embodiment of control unit 1 for determining an amount of energy 20 in a battery or battery cell.
- the control device 1 comprises a computing device 2 and a memory 3.
- the computing device 2 is, for example, a microprocessor or a microcontroller on which program code is executed in order to carry out the method described in this disclosure.
- hard-wired hardware components can also be provided, which partially or fully execute the method.
- Control unit 1 can be part of a battery control system.
- An initial charge state 10, an end charge state 11 and a load profile 12 are supplied to control unit 1. Provision can also be made for a current temperature 13 of the battery or battery cell to be fed to control unit 1 .
- the current temperature of the battery or battery cell can be detected and/or estimated using a temperature sensor 50, for example.
- the control unit 1 can also form a common device together with the temperature sensor 50 .
- the starting state of charge 10, the final state of charge 11 and the load profile 12 are queried and/or provided, for example, by an energy management system (not shown) or a vehicle controller 51 of a vehicle (not shown).
- the starting charge state 10, the end charge state 11 and the load profile 12 are received by the control unit 1 and processed by the computing device 2.
- Control unit 1 is set up to determine intermediate charging states 14 between starting charging state 11 and final charging state 12 and associated weighting factors 15 . This takes place in a module 100. For each of the intermediate charging states 14 determined, the control unit 1 estimates parameters 16 of an equivalent circuit model of the battery or the battery cell in a module 101. This also happens in particular taking into account the temperature 13. The estimation is carried out, for example, on the basis of empirically determined parameters of the equivalent circuit model. Provision can be made here for empirically determined parameters to be interpolated. Alternatively or additionally, provision can also be made for the parameters to be estimated on the basis of a simulation.
- an exemplary equivalent circuit model 30 is shown schematically in FIG. 3 . It is provided in the example that the equivalent circuit model 30 comprises at least one open-circuit voltage U ocv modeled in the form of a capacitance C as a voltage source, a series resistance R 0 and two RC elements RC1, RC2 with the resistances R1, R2 and the capacitances C1, C2 . In principle, however, the equivalent circuit model 30 can also have more or fewer RC elements RC1, RC2.
- Parameters 16 are in particular open-circuit voltage U ocv (Fig. 3), series resistance R 0 (Fig. 3), a resistance R1, R2 of RC elements RC1, RC2 (Fig 3) and estimated time constants of the RC elements RC1, RC2. Furthermore, a voltage across the RC elements RC1, RC2 for the starting state of charge 10 is also estimated.
- the weighting factors 15 and the parameters 16 Based on the load profile 12 (Fig. 2), which is provided in particular as a mean value 12-1 of the current and as a root mean square 12-2 of the current, the weighting factors 15 and the parameters 16, an amount of energy 20 of the battery or in a module 102 Battery cell between the starting state of charge 10 and the discharge state 11 determined.
- the determined amount of energy 20 is provided as an energy amount signal 21 .
- a total voltage U (Fig. 3) of the battery or battery cell for each intermediate charging state 14 is determined from at least the open-circuit voltage U ocv , a series resistance voltage U R0 dropping across the series resistor R 0 and a series resistance voltage U R0 across the RC elements RC1 , RC2 falling RC element voltage U RC1 , U RC2 is determined.
- the series resistance voltage U R0 dropping across the series resistor R 0 is determined from the root mean square 12-2 (FIG. 2) of the current and the mean value 12-1 (FIG. 2) of the current .
- the RC element voltage U RC1 , U RC2 dropping across the at least one RC element RC1, RC2 (Fig. 3)
- a time is determined until the intermediate charge state 14 under consideration is reached is, wherein the RC element voltage U RC1 , U RC2 is determined based on the specific time and a time constant of the at least one RC element RC1, RC2.
- the resulting total voltage U of the battery or battery cell is then integrated numerically over the interval between the initial charging state 10 and the final charging state 11 in order to obtain the amount of energy 20 .
- This can be done, for example, using open or closed Newton-Cotes formulas. In principle, however, other numerical integration methods can also be used.
- the energy quantity signal 21 is then generated, which encodes the value of the energy quantity 20 in a suitable form.
- the energy amount signal 21 can be fed to a battery controller 52 or the vehicle controller 51, for example.
- the method and the control unit enable an improved determination of amounts of energy in batteries or battery cells.
- the method and the control unit can advantageously be used in particular at different temperatures and state of charge intervals of different sizes.
- non-constant load profiles can also be taken into account, so that losses that occur can be better taken into account.
- Different charging histories can also be taken into account, since the current state of charge of the battery is always taken into account.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202280036393.4A CN117355758A (zh) | 2021-05-20 | 2022-03-10 | 用于确定电池或电芯中能量的量的方法和控制设备 |
EP22712575.4A EP4341708A1 (de) | 2021-05-20 | 2022-03-10 | Verfahren und steuergerät zum bestimmen einer energiemenge in einer batterie oder batteriezelle |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102021205163.4A DE102021205163A1 (de) | 2021-05-20 | 2021-05-20 | Verfahren und Steuergerät zum Bestimmen einer Energiemenge in einer Batterie oder Batteriezelle |
DE102021205163.4 | 2021-05-20 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022242926A1 true WO2022242926A1 (de) | 2022-11-24 |
Family
ID=80937089
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2022/056242 WO2022242926A1 (de) | 2021-05-20 | 2022-03-10 | Verfahren und steuergerät zum bestimmen einer energiemenge in einer batterie oder batteriezelle |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP4341708A1 (de) |
CN (1) | CN117355758A (de) |
DE (1) | DE102021205163A1 (de) |
WO (1) | WO2022242926A1 (de) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7612532B2 (en) | 2005-06-21 | 2009-11-03 | Gm Global Technology Operations, Inc. | Method for controlling and monitoring using a state estimator having variable forgetting factors |
KR20130142807A (ko) * | 2012-06-20 | 2013-12-30 | 엘지이노텍 주식회사 | 배터리 용량 상태 추정 방법 |
DE102012107995A1 (de) * | 2012-08-29 | 2014-03-06 | Denso Corporation | Verfahren zur Bestimmung der Leistungsfähigkeit einer Akkumulator-Einheit eines Fahrzeugs |
US20170370995A1 (en) * | 2016-06-23 | 2017-12-28 | Silergy Semiconductor Technology (Hangzhou) Ltd | Method and apparatus for detecting state of battery |
CN110161423A (zh) * | 2019-06-26 | 2019-08-23 | 重庆大学 | 一种基于多维度耦合模型的动力锂电池状态联合估计方法 |
CN109839596B (zh) * | 2019-03-25 | 2021-04-16 | 重庆邮电大学 | 基于ud分解的自适应扩展卡尔曼滤波的soc估算方法 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8108160B2 (en) | 2008-09-25 | 2012-01-31 | GM Global Technology Operations LLC | Method and system for determining a state of charge of a battery |
WO2015102074A1 (en) | 2014-01-06 | 2015-07-09 | Mitsubishi Electric Corporation | Method for estimating state-of-charge of battery |
-
2021
- 2021-05-20 DE DE102021205163.4A patent/DE102021205163A1/de active Pending
-
2022
- 2022-03-10 WO PCT/EP2022/056242 patent/WO2022242926A1/de active Application Filing
- 2022-03-10 CN CN202280036393.4A patent/CN117355758A/zh active Pending
- 2022-03-10 EP EP22712575.4A patent/EP4341708A1/de active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7612532B2 (en) | 2005-06-21 | 2009-11-03 | Gm Global Technology Operations, Inc. | Method for controlling and monitoring using a state estimator having variable forgetting factors |
KR20130142807A (ko) * | 2012-06-20 | 2013-12-30 | 엘지이노텍 주식회사 | 배터리 용량 상태 추정 방법 |
DE102012107995A1 (de) * | 2012-08-29 | 2014-03-06 | Denso Corporation | Verfahren zur Bestimmung der Leistungsfähigkeit einer Akkumulator-Einheit eines Fahrzeugs |
US20170370995A1 (en) * | 2016-06-23 | 2017-12-28 | Silergy Semiconductor Technology (Hangzhou) Ltd | Method and apparatus for detecting state of battery |
CN109839596B (zh) * | 2019-03-25 | 2021-04-16 | 重庆邮电大学 | 基于ud分解的自适应扩展卡尔曼滤波的soc估算方法 |
CN110161423A (zh) * | 2019-06-26 | 2019-08-23 | 重庆大学 | 一种基于多维度耦合模型的动力锂电池状态联合估计方法 |
Non-Patent Citations (2)
Title |
---|
HONGWEN HE ET AL: "State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model", IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE, USA, vol. 60, no. 4, 1 May 2011 (2011-05-01), pages 1461 - 1469, XP011321829, ISSN: 0018-9545, DOI: 10.1109/TVT.2011.2132812 * |
HUANG CONG-SHENG ET AL: "Accurate Thevenin's circuit-based battery model parameter identification", 2016 IEEE 25TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), IEEE, 8 June 2016 (2016-06-08), pages 274 - 279, XP033006331, DOI: 10.1109/ISIE.2016.7744902 * |
Also Published As
Publication number | Publication date |
---|---|
EP4341708A1 (de) | 2024-03-27 |
DE102021205163A1 (de) | 2022-11-24 |
CN117355758A (zh) | 2024-01-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP1590679B1 (de) | Zustandsgrössen- und parameterschätzer mit mehreren teilmodellen für einen elektrischen energiespeicher | |
DE102006018208B4 (de) | Verfahren und Vorrichtung zum Detektieren eines geladenen Zustandes einer sekundären Batterie basierend auf einer Berechnung eines neuronalen Netzwerks | |
EP1380849B1 (de) | Verfahren zur Ermittlung der entnehmbaren Ladungsmenge einer Speicherbatterie und Überwachungseinrichtung | |
EP2948785B1 (de) | Verfahren zur ermittlung eines regelungstechnischen beobachters für den soc | |
DE102019216943A1 (de) | Verfahren zum approximieren von algorithmen zum schnellladen von li-ionen-batterien auf der basis von elektrochemischen batteriemodellen | |
EP1588176B1 (de) | Verfahren und vorrichtung zum ermitteln der aus einem energiespeicher entnehmbaren ladung | |
DE102016111547A1 (de) | Innenwiderstandsschätzverfahren für eine Sekundärbatterie, Ausgabesteuerverfahren für eine Sekundärbatterie und ein Fahrzeug | |
DE112015005201T5 (de) | Abschätzungseinheit für eine verbleibende gespeicherte energiemenge, verfahren zum abschätzen einer verbleibenden gespeicherten energiemenge einer speicherbatterie sowie computerprogramm | |
DE10021161A1 (de) | Verfahren zur Ermittlung des Ladezustands und der Belastbarkeit eines elektrischen Akkumulators | |
DE102015103561A1 (de) | Frequenzbasierte schätzung von batteriemodellparametern | |
DE102011104320A1 (de) | Adaptive Batterieparameterextraktion und SOC-Abschätzung für eine Lithium-Ionen-Batterie | |
DE102015100043A1 (de) | Impedanzbasierte Batterieparameterschätzung | |
DE10158029A1 (de) | Verfahren zum Berechnen des dynamischen Ladezustandes in einer Batterie | |
WO2011045262A1 (de) | Verfahren zur bestimmung und/oder vorhersage der maximalen leistungsfähigkeit einer batterie | |
DE102013000572A1 (de) | Verfahren und System zur Bestimmung der Modellparameter eines elektrochemischen Energiespeichers | |
EP2649666A1 (de) | Verfahren zur ermittlung von betriebsparametern einer batterie, batteriemanagementsystem und batterie | |
EP3655789B1 (de) | Verfahren und vorrichtung zur überwachung eines stabilen konvergenzverhaltens eines kalman-filters | |
DE102013215894A1 (de) | Systeme und Verfahren zum Schätzen von Batterieparametern | |
EP3658930B1 (de) | Verfahren und vorrichtung zur detektion von batteriezellenzuständen und batteriezellenparametern | |
DE102019111976A1 (de) | Kapazitätsbestimmung bei Batterien | |
DE102020132853A1 (de) | Verfahren und system zur schätzung der batteriekapazität unter verwendung von spannungsneigungskapazität und dynamischen ankern | |
DE102021104868A1 (de) | System zur vorhersage einer batteriealterung | |
DE102020212298A1 (de) | Verfahren und Vorrichtung zur gerätespezifischen Bestimmung eines innenwiderstandsbasierten Alterungszustands einer Batterie | |
DE102011116970A1 (de) | Optimierung von Parametern elektrischer Komponenten in Modellen von Energiespeichersystemen | |
DE102015109282A1 (de) | System und Verfahren zum Batteriemanagement |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 22712575 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 202280036393.4 Country of ref document: CN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2022712575 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 2022712575 Country of ref document: EP Effective date: 20231220 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 18560315 Country of ref document: US |