[go: up one dir, main page]

CN119001493B - Method and device for determining available capacity of battery cluster, storage medium and electronic equipment - Google Patents

Method and device for determining available capacity of battery cluster, storage medium and electronic equipment Download PDF

Info

Publication number
CN119001493B
CN119001493B CN202411461576.8A CN202411461576A CN119001493B CN 119001493 B CN119001493 B CN 119001493B CN 202411461576 A CN202411461576 A CN 202411461576A CN 119001493 B CN119001493 B CN 119001493B
Authority
CN
China
Prior art keywords
charge
cell
capacity
battery
battery cluster
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.)
Active
Application number
CN202411461576.8A
Other languages
Chinese (zh)
Other versions
CN119001493A (en
Inventor
李萌
成玲
刘克勤
娄贺伟
史耀振
黄生济
冯锡毅
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.)
Zhuhai Gree Titanium Electric Appliance Co ltd
Gree Altairnano New Energy Inc
Original Assignee
Zhuhai Gree Titanium Electric Appliance Co ltd
Gree Altairnano New Energy Inc
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 Zhuhai Gree Titanium Electric Appliance Co ltd, Gree Altairnano New Energy Inc filed Critical Zhuhai Gree Titanium Electric Appliance Co ltd
Priority to CN202411461576.8A priority Critical patent/CN119001493B/en
Publication of CN119001493A publication Critical patent/CN119001493A/en
Application granted granted Critical
Publication of CN119001493B publication Critical patent/CN119001493B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • G01R31/387Determining ampere-hour charge capacity or 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]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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]
    • G01R31/374Arrangements 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
    • 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]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • 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
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)

Abstract

本申请涉及一种电池簇的可用容量确定方法、装置、存储介质及电子设备。该方法包括:确定电池簇中的额定可用容量;将额定可用容量使用温度修正系数、荷电一致性系数和寿命衰减系数中的至少之一进行调整,得到调整后的容量,其中,温度修正系数通过第一二维表计算得到,荷电一致性系数通过将样本电池簇内的每一个单体电芯与样本电池簇的基准电芯的端电压差异查询第二二维表得到的荷电状态差异计算得到;将调整后的容量确定为电池簇的实时可用容量。本申请解决了电池簇的实时可用容量难以确定的技术问题。

The present application relates to a method, device, storage medium and electronic device for determining the available capacity of a battery cluster. The method comprises: determining the rated available capacity in the battery cluster; adjusting the rated available capacity using at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain an adjusted capacity, wherein the temperature correction coefficient is calculated by a first two-dimensional table, and the charge consistency coefficient is calculated by querying the terminal voltage difference of each single cell in the sample battery cluster and the reference cell of the sample battery cluster to obtain the state of charge difference from a second two-dimensional table; determining the adjusted capacity as the real-time available capacity of the battery cluster. The present application solves the technical problem that the real-time available capacity of a battery cluster is difficult to determine.

Description

Method and device for determining available capacity of battery cluster, storage medium and electronic equipment
Technical Field
The present application relates to the field of battery clusters, and in particular, to a method and apparatus for determining available capacity of a battery cluster, a storage medium, and an electronic device.
Background
In the prior art, for a battery cluster formed by combining a plurality of battery cells, the internal structure of the battery cells is complex, the electrochemical reaction process and the reaction stage are complex and difficult to determine, and the actual application working condition of the battery cluster is severe and changeable, so that the real-time available capacity of the battery cluster is difficult to determine, and the actual state of charge is further difficult to determine.
Disclosure of Invention
The application provides a method and a device for determining available capacity of a battery cluster, a storage medium and electronic equipment, and aims to solve the technical problem that the real-time available capacity of the battery cluster is difficult to determine.
The application provides a method for determining available capacity of a battery cluster, which comprises the steps of determining the rated available capacity of the battery cluster, adjusting the rated available capacity by using at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain the adjusted capacity, wherein the temperature correction coefficient is calculated through a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery cell in the battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is obtained by inquiring a second two-dimensional table through the calculation of a difference of the terminal voltage of each single battery cell in the battery cluster and a reference battery cell of the battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the battery cluster at different temperatures, the life attenuation coefficient is calculated according to life attenuation data of the battery cluster, and the adjusted capacity is determined to be the available capacity of the battery cluster in real time.
The application provides an available capacity determining device of a battery cluster, which comprises a first determining module and an adjusting module, wherein the first determining module is used for determining rated available capacity in the battery cluster, the adjusting module is used for adjusting the rated available capacity by using at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient, the temperature correction coefficient is obtained through calculation of a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery cell in the battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is obtained through calculation of a state-of-charge difference obtained by inquiring a second two-dimensional table of the difference of the terminal voltage of each single battery cell in the battery cluster and a reference battery cell of the battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage of each single battery cell in the battery cluster and the state-of-charge, the life attenuation coefficient is obtained according to the life attenuation data of the battery in the battery cluster, and the second module is used for determining the available capacity of the battery cluster after the battery cluster is determined.
As an alternative example, the adjustment module includes an adjustment unit configured to multiply at least one of the temperature correction coefficient, the charge consistency coefficient, and the lifetime attenuation coefficient with the rated available capacity sequentially to obtain an adjusted capacity.
As an optional example, the device further comprises a first processing module, a first two-dimensional table and a second two-dimensional table, wherein the first processing module is used for acquiring the cell capacity of each single cell under the conditions of different temperatures and different current multiplying powers of the sample cell cluster before adjusting the rated available capacity by at least one of a temperature correction coefficient, a charge consistency coefficient and a service life attenuation coefficient to obtain the adjusted capacity, determining the average value of the cell capacities of each single cell as the cell capacity of a reference cell, and determining the cell capacity of each single cell in the sample cell cluster at different temperatures and different current multiplying powers and the cell capacity of the reference cell as the first two-dimensional table.
As an alternative example, the adjustment module includes a first calculation unit configured to determine the temperature correction coefficient by the following formula:
(1)
wherein, In order to search the table look-up capacity of the reference battery cell of the battery cluster under the current temperature and current multiplying power obtained by the first two-dimensional table,For the calibration capacity obtained by linear interpolation of the table look-up capacities of the reference cells of the battery cluster at different current multiplying powers at the current temperature, the sum of the two is the actual capacity of the battery cluster at the current temperature, the Cap init is the rated capacity of the battery cluster, and theThe temperature correction coefficient is the above temperature correction coefficient.
As an optional example, the device further comprises a second processing module, configured to obtain terminal voltages of the sample battery clusters in different states of charge of each single battery cell at different temperatures before adjusting the rated available capacity by at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain adjusted capacities, determine an average value of the terminal voltages of the single battery cells in different states of charge of each single battery cell as a terminal voltage of a reference battery cell of the sample battery clusters in different states of charge, and determine terminal voltages of the single battery cells in different temperatures and different states of charge of each single battery cell in the sample battery cluster as the second two-dimensional table.
As an alternative example, the adjustment module includes a second calculation unit configured to determine the charge consistency coefficient by the following formula:
(2)
Wherein SOC max and SOC min are respectively the maximum value and the minimum value of the difference between the charge states of the single battery cells in the battery cluster and the reference battery cells, Is the charge consistency coefficient.
As an alternative example, the first two-dimensional table and the second two-dimensional table include a charge two-dimensional table in a charge case and a discharge two-dimensional table in a discharge case.
In a third aspect, the application provides an electronic device comprising at least one communication interface, at least one bus connected to the at least one communication interface, at least one processor connected to the at least one bus, at least one memory connected to the at least one bus, wherein the memory stores a computer program, the processor being configured to implement the method for determining the available capacity of a battery cluster according to any one of the above when executing the computer program.
In a fourth aspect, the present application also provides a computer storage medium storing computer executable instructions for performing the method for determining the available capacity of a battery cluster according to any one of the above aspects of the present application.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the advantages that the rated available capacity in the battery cluster is determined, at least one of the rated available capacity is adjusted by using at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient, the temperature correction coefficient is calculated through a first two-dimensional table, the first two-dimensional table records the capacity of each single battery in the sample battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is calculated by inquiring the difference of the state of charge obtained by inquiring the difference of the end voltage of each single battery in the sample battery cluster and the reference battery of the sample battery cluster, the second two-dimensional table records the corresponding relation between the end voltage of each single battery in the sample battery cluster and the state of charge, the life attenuation coefficient is calculated according to the life attenuation data of the sample battery, the capacity of each single battery in the sample battery cluster is determined, and the real-time capacity can be determined according to the accuracy of the current of the sample battery cluster, and the real-time capacity can be further determined.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
Fig. 1 is a flowchart of a method for determining available capacity of a battery cluster according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for determining the available capacity of a battery cluster according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for determining the available capacity of a battery cluster according to an embodiment of the present application;
Fig. 4 is a schematic diagram of a method for determining available capacity of a battery cluster according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a device for determining available capacity of a battery cluster according to an embodiment of the present application;
fig. 6 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following disclosure provides many different embodiments, or examples, for implementing different structures of the invention. In order to simplify the present disclosure, components and arrangements of specific examples are described below. They are, of course, merely examples and are not intended to limit the invention. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
In order to solve the technical problem that the real-time available capacity of the battery cluster is difficult to determine in the prior art, the application provides a method for determining the available capacity of the battery cluster, which can achieve the effect of improving the accuracy of determining the real-time available capacity of the battery cluster.
Fig. 1 is a flowchart of a method for determining available capacity of a battery cluster according to an embodiment of the present application. As shown in fig. 1, the method for determining the available capacity of the battery cluster includes:
s102, determining rated available capacity in the battery cluster;
S104, adjusting the rated available capacity by using at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain an adjusted capacity, wherein the temperature correction coefficient is calculated by a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery cell in a sample battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is calculated by inquiring a charge state difference obtained by a second two-dimensional table through the difference of the terminal voltage of each single battery cell in the sample battery cluster and the reference battery cell of the sample battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the sample battery cluster under different temperatures, and the life attenuation coefficient is calculated according to the life attenuation data of the sample battery cluster;
and S106, determining the adjusted capacity as the real-time available capacity of the battery cluster.
The method for determining the available capacity of the battery cluster according to the embodiment may be applied to the process of determining the available capacity of the battery cluster. A battery cluster is a combination of batteries obtained by connecting a plurality of battery (cell) units in series or in parallel or in series-parallel combination, for example, 3 batteries are connected in series into one battery cluster. The battery cell is a battery. The battery cluster comprises a rated available capacity, which can be measured or estimated capacity or initial available capacity of the battery cluster after production.
In order to measure accurate real-time available capacity, the embodiment proposes to use at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to adjust the rated available capacity, thereby obtaining an adjusted rated available capacity, and the adjusted rated available capacity is regarded as the real-time available capacity of the battery cluster.
In this embodiment, when at least one of the temperature correction coefficient, the charge consistency coefficient, and the life decay coefficient is used to adjust the rated available capacity, if one of the coefficients is used to adjust the rated available capacity, the rated available capacity is directly multiplied by the coefficient, and if a plurality of the coefficients are used to adjust the rated available capacity, the rated available capacity is multiplied by each of the coefficients sequentially, and the obtained result is taken as the real-time available capacity. In the following examples, the rated usable capacity is adjusted for the temperature correction coefficient, the charge consistency coefficient, and the life attenuation coefficient in common, and the present embodiment is not limited to the uniqueness.
The temperature correction coefficient is calculated through a first two-dimensional table, and the first two-dimensional table records the cell capacity of each single cell in the sample battery cluster under the conditions of different temperatures and different current multiplying powers.
The charge consistency coefficient is obtained by calculating a charge state difference obtained by inquiring a second two-dimensional table of the terminal voltage difference between each single battery cell in the sample battery cluster and the reference battery cell of the sample battery cluster, and the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the sample battery cluster at different temperatures.
The life attenuation coefficient is obtained by calculating the life attenuation data of the sample battery cluster, the life attenuation condition of the sample battery cluster along with the service condition can be checked through historical data, the life attenuation directly affects the real-time available capacity, and the life attenuation coefficient is calculated according to the life attenuation data.
The sample battery cluster is a battery cluster used for testing in the process of determining the first two-dimensional table and the second two-dimensional table, for example, battery cells in the same batch can be used as battery cells with similar attributes, a part of battery cells are combined into a battery cluster, the battery cluster is used as the sample battery cluster to construct the first two-dimensional table and the second two-dimensional table, and the constructed two-dimensional table can be used for determining the temperature correction coefficient and the charge consistency coefficient of other battery clusters formed by combining the battery cells in the same batch.
According to the scheme provided by the embodiment of the application, the rated available capacity in the battery cluster is determined, at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient is used for adjusting the rated available capacity to obtain the adjusted capacity, wherein the temperature correction coefficient is calculated through a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery in the battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is calculated by inquiring a state of charge difference obtained by inquiring a second two-dimensional table through the difference of the terminal voltage of each single battery in the battery cluster and a reference battery of the battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage and the state of charge of each single battery in the battery cluster, the life attenuation coefficient is calculated according to life attenuation data of the battery cluster, the adjusted capacity is determined to be the available capacity of the battery cluster, and the available capacity of the battery can be determined in real time according to the accuracy.
In this embodiment, the first two-dimensional table and the second two-dimensional table may be determined in advance by the sample battery cluster, then, when the real-time available capacity of the battery cluster is measured and calculated, the temperature correction coefficient and the charge consistency coefficient are determined by the first two-dimensional table and the second two-dimensional table, and then, the temperature correction coefficient, the charge consistency coefficient and the life attenuation coefficient are used to adjust the battery cluster, so as to obtain the real-time available capacity of the battery cluster.
In one example, determining the first two-dimensional table may be as shown in fig. 2. Before the rated available capacity is adjusted by using at least one of a temperature correction coefficient, a charge consistency coefficient and a life decay coefficient to obtain an adjusted capacity, the method comprises the following steps:
s202, acquiring the cell capacity of each single cell under the conditions of different temperatures and different current multiplying powers of the sample cell cluster;
s204, determining the average value of the cell capacity of each single cell as the cell capacity of the reference cell;
S206, determining the cell capacities of each single cell in the sample battery cluster at different temperatures and different current multiplying powers and the cell capacities of the reference cells as the first two-dimensional table.
In the embodiment for constructing the first two-dimensional table provided in this embodiment, the first two-dimensional table records the electric core capacity of each battery cell under the conditions of different temperatures and different current multiplying powers of the sample battery cluster. Wherein the data of different temperatures may form different first two-dimensional tables. In addition, the first two-dimensional table may be further divided into a charge two-dimensional table and a discharge two-dimensional table, that is, at a certain temperature, the cell capacity of each cell under different charge rates during charging, and at a certain temperature, the cell capacity of each cell under different charge rates during discharging. The obtained data is the electric core capacity of each battery cell under different multiplying factors when charging and discharging at the temperature. When the real-time available capacity of the battery cluster is actually measured and calculated, a corresponding first two-dimensional table is selected according to the actual temperature and the charging and discharging scene. And the average value of the cell capacities of a plurality of single cells in the battery cluster under a certain current multiplying power and a charging or discharging scene at a certain temperature is the cell capacity of a reference cell under the current multiplying power and the charging or discharging scene at the certain temperature. Through the test and data recording of the sample battery cluster, the battery cell capacity of each battery cell of the sample battery cluster under the conditions of different temperatures, charging and discharging and with different current multiplying factors is obtained, and according to the battery cell capacity, the battery cell capacity of the reference battery cell can be calculated, so that a first two-dimensional table is obtained.
In one example, after the first two-dimensional table is determined, the temperature correction coefficient may be determined according to the first two-dimensional table, and in particular, the temperature correction coefficient may be determined according to formula (1).
(1)
Wherein, In order to search the table look-up capacity of the reference battery cell of the battery cluster under the current temperature and current multiplying power obtained by the first two-dimensional table,For the calibration capacity obtained by linear interpolation of the table look-up capacities of the reference cells of the battery cluster at different current multiplying powers at the current temperature, the sum of the two is the actual capacity of the battery cluster at the current temperature, the Cap init is the rated capacity of the battery cluster, and theThe temperature correction coefficient is the above temperature correction coefficient.
That is, for a battery cluster for which the real-time available capacity is to be measured, the current temperature and whether it is a charging or discharging scene is determined, a corresponding first two-dimensional table is selected, then, in the first two-dimensional table, the cell capacity of each battery cell of the battery cluster is acquired, the cell capacity of a reference cell is calculated, and the cell capacity of the reference cell is substituted into formula (1), and the obtained result is used as a temperature correction coefficient.
In one example, determining the second two-dimensional table may include, as shown in fig. 3, before adjusting the rated available capacity using at least one of a temperature correction coefficient, a charge consistency coefficient, and a life decay coefficient to obtain an adjusted capacity:
s302, obtaining terminal voltages of each single battery cell in different charge states at different temperatures of the sample battery cluster;
s304, determining the average value of terminal voltages of each single battery cell in different charge states as the terminal voltage of the reference battery cell in the different charge states of the sample battery cluster;
s306, determining terminal voltages of each single cell in the sample battery cluster under different temperatures and different states of charge and terminal voltages of the reference cell under different temperatures and different states of charge as the second two-dimensional table.
In the embodiment for constructing the second two-dimensional table provided in this embodiment, the second two-dimensional table records terminal voltages of each battery cell in different states of charge of the sample battery cluster at different temperatures. Wherein the data of different temperatures may form a second, different two-dimensional table. In addition, the second two-dimensional table may be further divided into a charge two-dimensional table and a discharge two-dimensional table, that is, at a certain temperature, terminal voltages of each battery cell in different states of charge during charging, and at a certain temperature, terminal voltages of each battery cell in different states of charge during discharging. The obtained data is the terminal voltage of each battery cell under different charge states during charging and discharging at the temperature. When the real-time available capacity of the battery cluster is actually measured and calculated, a corresponding second two-dimensional table is selected according to the actual temperature and the charging and discharging scene. The average value of the terminal voltages of the plurality of battery cells in the battery cluster under a certain temperature, a certain state of charge and a charging or discharging scene is the terminal voltage of the reference battery cell under the state of charge and the charging or discharging scene at the temperature. And carrying out test and data recording on the sample battery cluster to obtain terminal voltages of each battery cell of the sample battery cluster under the conditions of different temperatures, different states of charge and charging and discharging, and calculating the terminal voltage of the reference battery cell according to the terminal voltages to obtain a second two-dimensional table.
In one example, after the second two-dimensional table is determined, the charge uniformity coefficient may be determined according to the second two-dimensional table, and the charge uniformity coefficient may be determined according to the second two-dimensional table by equation (2).
(2)
Wherein SOC max and SOC min are respectively the maximum value and the minimum value of the difference between the charge states of the single battery cells in the battery cluster and the reference battery cells,Is the charge consistency coefficient.
That is, for a battery cluster for which the real-time available capacity is to be measured, determining the current temperature and whether it is a charging or discharging scene, selecting a corresponding second two-dimensional table, then, in the second two-dimensional table, acquiring the state of charge of each battery cell of the battery cluster under the same end voltage, calculating the difference between the maximum value and the minimum value of the state of charge, substituting the difference into the formula (2), and obtaining the result as a charge consistency coefficient.
Under the condition that the temperature correction coefficient, the charge consistency coefficient and the life decay coefficient are known, the three coefficients are used for multiplying the rated capacity successively to obtain the real-time available capacity of the battery cluster.
The present embodiment may predetermine the first two-dimensional table and the second two-dimensional table. Table 1 shows the cell capacities of the charge and discharge scenarios at different rates at 10 degrees celsius. I.e. a first two-dimensional table at 10 degrees celsius.
Table 110 charge and discharge capacities at different rates
The second two-dimensional table is shown in tables 2 and 3, table 2 is a table of terminal voltage (Open circuit voltage, OVC) -State of Charge (SOC) for a 10 ℃ discharge scenario, and table 3 is an OCV-SOC table for a 10 ℃ Charge scenario. The average values in tables 1 to 3 are the data of the reference cell. From tables 2 and 3, table 4, an OCV-SOC table of 10 ℃ in table 4, was obtained by adding the average values of table 2 and table 3 and then comparing the calculated values with the above table 2.
Table 210 ℃ discharge OCV-SOC table
Table 310 ℃ charging OCV-SOC table
Table 410 ℃ OCV-SOC Meter
The rated capacity of the battery cells of the sample battery cluster is 33Ah, and the state of charge SOH is 100% when the battery cells are full.
If the real-time available capacity of a battery cluster is to be calculated, for example, a battery cluster is illustrated by connecting 5 cells in series. The rated capacity of 5 monomers was 33Ah, and the charge-discharge rate was 1.5C. And (3) determining a coefficient by using the first two-dimensional table and the second two-dimensional table if the initial SOC=50%, and then adjusting the rated capacity by using the coefficient to obtain the real-time available capacity. The determination can be made using equation (3).
OH(3)
Wherein, In order to be able to use the capacity in real time,For the rated capacity of the device,For the temperature correction coefficient(s),And (5) correcting the coefficient for the consistency of the single SOC.
Determining a temperature correction coefficient according to a first two-dimensional table, the temperature correction coefficient at 10 DEG CAccording to the linear lookup of the actual temperature and capacity multiplying power table of the battery cell, the lookup capacity is 29.388Ah, and because the charging multiplying power is 1.5C and the first two-dimensional table only has data under 1C and 2C, the linear difference value part calibrates the capacity to be 1.577Ah by the linear interpolation method, the actual capacity is 30.965Ah, thereby the temperature correction coefficient at 10 DEG CThe value is. Thereby calculating the temperature correction coefficient.
For the charge consistency coefficient, when the initial soc=50%, the OCV voltage average value (reference capacity, as shown in table 4) and the actually available charge-discharge capacity average value (as shown in table 1) of 5 monomers are calculated as the characteristic parameters of the reference monomers, the OCV difference between 5 monomers and the reference monomers is obtained by identifying the 5 monomers and the reference monomers respectively as inputs by using a difference model, then the SOC difference between each monomer and the reference monomer is determined by checking an OCV-SOC two-dimensional table based on temperature, the real-time estimated value of the SOC of each monomer is obtained as shown in table 5 below,And49.2% And 46.5%, respectively, thereby obtaining a correction coefficient of the monomer SOC uniformity
Table 510 ℃ each monomer SOC estimation
Life attenuation coefficientOH can be set to an empirical value based on historical data.
Finally obtaining the real-time available capacity of the battery clusterIs that
Oh=33ah×93.8% ×97.3 100% = 30.128Ah. The temperature correction coefficient may be expressed in terms of a percentage.
That is, the temperature uniformity coefficient, the cell SOC uniformity coefficient, and the SOH coefficient are introduced on the basis of the known reference capacity of the battery cluster. Taking 5 monomers of the 33Ah LTO battery cells connected in series to form a battery cluster, the initial SOC=50% and the 1.5C rate charging working condition in the 10 ℃ environment as an example, the actual available capacity after the actual available capacity of the battery cluster is subjected to real-time dynamic correction is 30.128Ah, and the evaluation value is closer to the available capacity obtained by the actual prediction of the battery cluster.
After the real-time available capacity of the battery cluster is obtained, the real-time SOC of the battery cluster may be calculated. The real-time SOC is calculated as by equation (4).
(4)
Wherein I is the battery cluster current, charging is negative, discharging is positive.For the calculated real-time available capacity.
In this embodiment, for the battery cluster difference model, the model structure is as shown in fig. 4. Taking one monomer in a battery cluster as a reference, taking into consideration the internal resistance difference and the OCV difference between other monomers and the reference monomer, whereinThe difference of internal resistance and the difference of terminal voltage OCV of the monomer with the number I and the reference monomer are respectively, and the I is current.
The discretized state equation of the model is:
(5)
If written in standard form, then
Therein, wherein,,
When the battery cluster difference model is used for calculating the OCV difference between the single units, the battery cluster single unit inconsistency is represented as gradual change characteristic, and the corresponding difference model is low-frequency modeling, so that the OCV difference in a period of time can be identified by adopting data of the period of time interval, the length of the period of time interval is called as the window length, and the identification result is used as the OCV difference between the battery cluster single unit and the reference single unit at any moment in the window length. For the working condition with longer duration, the moving window is adopted to identify the OCV difference in real time, and the magnitude of the OCV difference is smaller, so that the OCV difference is easy to be interfered to generate larger error, and a low-pass filter can be adopted to eliminate high-frequency noise components. To overcome coefficient matrixAnd output matrixMeanwhile, the problem of biased estimation caused by measurement errors exists, and the total least square method is adopted in each window length to realize unbiased estimation of parameters.
Fig. 5 is a schematic structural diagram of a device for determining available capacity of a battery cluster according to an embodiment of the present application. As shown in fig. 5, the available capacity determining apparatus of the battery cluster includes:
a first determining module 502, configured to determine a rated available capacity in the battery cluster;
An adjustment module 504, configured to adjust the rated available capacity to obtain an adjusted capacity by using at least one of a temperature correction coefficient, a charge consistency coefficient, and a life attenuation coefficient, where the temperature correction coefficient is calculated by using a first two-dimensional table, the first two-dimensional table records a battery capacity of each single battery cell in a sample battery cluster under different temperatures and different current multiplying powers, the charge consistency coefficient is calculated by querying a second two-dimensional table for a difference in charge state obtained by querying a difference in charge state between each single battery cell in the sample battery cluster and a reference battery cell of the sample battery cluster, the second two-dimensional table records a correspondence between a terminal voltage of each single battery cell in the sample battery cluster and a charge state at different temperatures, and the life attenuation coefficient is calculated according to life attenuation data of the sample battery cluster;
a second determining module 506, configured to determine the adjusted capacity as a real-time available capacity of the battery cluster.
The available capacity determining device of the battery cluster in this embodiment may be applied in the process of determining the available capacity of the battery cluster. A battery cluster is a combination of batteries obtained by connecting a plurality of battery (cell) units in series or in parallel or in series-parallel combination, for example, 3 batteries are connected in series into one battery cluster. The battery cell is a battery. The battery cluster comprises a rated available capacity, which can be measured or estimated capacity or initial available capacity of the battery cluster after production.
In order to measure accurate real-time available capacity, the embodiment proposes to use at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to adjust the rated available capacity, thereby obtaining an adjusted rated available capacity, and the adjusted rated available capacity is regarded as the real-time available capacity of the battery cluster.
In this embodiment, when at least one of the temperature correction coefficient, the charge consistency coefficient, and the life decay coefficient is used to adjust the rated available capacity, if one of the coefficients is used to adjust the rated available capacity, the rated available capacity is directly multiplied by the coefficient, and if a plurality of the coefficients are used to adjust the rated available capacity, the rated available capacity is multiplied by each of the coefficients sequentially, and the obtained result is taken as the real-time available capacity. In the following examples, the rated usable capacity is adjusted for the temperature correction coefficient, the charge consistency coefficient, and the life attenuation coefficient in common, and the present embodiment is not limited to the uniqueness.
The temperature correction coefficient is calculated through a first two-dimensional table, and the first two-dimensional table records the cell capacity of each single cell in the sample battery cluster under the conditions of different temperatures and different current multiplying powers.
The charge consistency coefficient is obtained by calculating a charge state difference obtained by inquiring a second two-dimensional table of the terminal voltage difference between each single battery cell in the sample battery cluster and the reference battery cell of the sample battery cluster, and the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the sample battery cluster at different temperatures.
The life attenuation coefficient is obtained by calculating the life attenuation data of the sample battery cluster, the life attenuation condition of the sample battery cluster along with the service condition can be checked through historical data, the life attenuation directly affects the real-time available capacity, and the life attenuation coefficient is calculated according to the life attenuation data.
The sample battery cluster is a battery cluster used for testing in the process of determining the first two-dimensional table and the second two-dimensional table, for example, battery cells in the same batch can be used as battery cells with similar attributes, a part of battery cells are combined into a battery cluster, the battery cluster is used as the sample battery cluster to construct the first two-dimensional table and the second two-dimensional table, and the constructed two-dimensional table can be used for determining the temperature correction coefficient and the charge consistency coefficient of other battery clusters formed by combining the battery cells in the same batch.
According to the scheme provided by the embodiment of the application, the rated available capacity in the battery cluster is determined, at least one of a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient is used for adjusting the rated available capacity to obtain the adjusted capacity, wherein the temperature correction coefficient is calculated through a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery in the battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is calculated by inquiring a state of charge difference obtained by inquiring a second two-dimensional table through the difference of the terminal voltage of each single battery in the battery cluster and a reference battery of the battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage and the state of charge of each single battery in the battery cluster, the life attenuation coefficient is calculated according to life attenuation data of the battery cluster, the adjusted capacity is determined to be the available capacity of the battery cluster, and the available capacity of the battery can be determined in real time according to the accuracy.
For other examples of this embodiment, please refer to the above examples, and the description thereof is omitted.
As shown in fig. 6, an embodiment of the present application provides an electronic device including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 perform communication with each other through the communication bus 114,
A memory 113 for storing a computer program;
in one embodiment of the present application, the processor 111 is configured to implement the method for determining the available capacity of the battery cluster provided in any one of the foregoing method embodiments when executing the program stored in the memory 113.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the method for determining the available capacity of a battery cluster provided in any one of the method embodiments described above.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the method described in the respective embodiments or some parts of the embodiments.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "includes," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless an order of performance is explicitly stated. It should also be appreciated that additional or alternative steps may be used.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. A method for determining available capacity of a battery cluster, comprising:
determining a rated available capacity in the battery cluster;
The rated available capacity is adjusted by using a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain adjusted capacity, wherein the temperature correction coefficient is obtained through calculation of a first two-dimensional table, the first two-dimensional table records the battery cell capacity of each single battery cell in a sample battery cluster under the conditions of different temperatures and different current multiplying factors, the charge consistency coefficient is obtained through calculation of a charge state difference obtained by inquiring a second two-dimensional table through the terminal voltage difference between each single battery cell in the sample battery cluster and a reference battery cell of the sample battery cluster, the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the sample battery cluster under different temperatures, and the life attenuation coefficient is obtained through calculation according to life attenuation data of the sample battery cluster;
determining the adjusted capacity as a real-time available capacity of the battery cluster;
wherein, before the rated available capacity is adjusted using the temperature correction coefficient, the charge consistency coefficient and the life decay coefficient to obtain an adjusted capacity, the method further comprises:
acquiring the cell capacity of each single cell under the conditions of different temperatures and different current multiplying powers of the sample cell cluster; determining the average value of the cell capacity of each single cell as the cell capacity of the reference cell;
The terminal voltage of each single battery cell in different states of charge of the sample battery cluster at different temperatures is obtained, the average value of the terminal voltages of each single battery cell in different states of charge of the sample battery cluster is determined to be the terminal voltage of a reference battery cell in different states of charge of the sample battery cluster, and the terminal voltage of each single battery cell in different temperatures and different states of charge of the sample battery cluster and the terminal voltage of the reference battery cell in different temperatures and different states of charge of the reference battery cell are determined to be the second two-dimensional table.
2. The method of claim 1, wherein adjusting the rated available capacity using a temperature correction coefficient, a charge consistency coefficient, and a life decay coefficient, the obtaining the adjusted capacity comprising:
and multiplying the temperature correction coefficient, the charge consistency coefficient and the life attenuation coefficient with the rated available capacity in sequence to obtain the adjusted capacity.
3. The method of claim 1, wherein prior to adjusting the rated available capacity using a temperature correction coefficient, a charge consistency coefficient, and a life decay coefficient, the method further comprises:
And determining the cell capacity of each single cell in the sample battery cluster at different temperatures and different current multiplying powers and the cell capacity of the reference cell at different temperatures and different current multiplying powers as the first two-dimensional table.
4. The method of claim 1, wherein determining the charge uniformity coefficient from the second two-dimensional table comprises:
The charge consistency coefficient is determined by the following formula:
(2)
Wherein SOC max and SOC min are respectively the maximum value and the minimum value of the difference between the charge states of the single battery cells in the battery cluster and the reference battery cells, Is the charge consistency coefficient.
5. The method of claim 1, wherein the first two-dimensional table and the second two-dimensional table comprise a charge two-dimensional table in a charge condition and a discharge two-dimensional table in a discharge condition.
6. An available capacity determining apparatus of a battery cluster, comprising:
A first determining module for determining a rated available capacity in the battery cluster;
The adjustment module is used for adjusting the rated available capacity by using a temperature correction coefficient, a charge consistency coefficient and a life attenuation coefficient to obtain an adjusted capacity, wherein the temperature correction coefficient is obtained by calculating a first two-dimensional table, the first two-dimensional table records the battery capacity of each single battery cell in a sample battery cluster under the conditions of different temperatures and different current multiplying powers, the charge consistency coefficient is obtained by inquiring the terminal voltage difference of each single battery cell in the sample battery cluster and the reference battery cell of the sample battery cluster to obtain a charge state difference by calculating a second two-dimensional table, the second two-dimensional table records the corresponding relation between the terminal voltage and the charge state of each single battery cell in the sample battery cluster under different temperatures, and the life attenuation coefficient is obtained by calculating according to the life attenuation data of the sample battery cluster;
A second determining module, configured to determine the adjusted capacity as a real-time available capacity of the battery cluster;
wherein before the rated available capacity is adjusted by using the temperature correction coefficient, the charge consistency coefficient and the life attenuation coefficient to obtain the adjusted capacity, the method further comprises:
acquiring the cell capacity of each single cell under the conditions of different temperatures and different current multiplying powers of the sample cell cluster; determining the average value of the cell capacity of each single cell as the cell capacity of the reference cell;
The terminal voltage of each single battery cell in different states of charge of the sample battery cluster at different temperatures is obtained, the average value of the terminal voltages of each single battery cell in different states of charge of the sample battery cluster is determined to be the terminal voltage of a reference battery cell in different states of charge of the sample battery cluster, and the terminal voltage of each single battery cell in different temperatures and different states of charge of the sample battery cluster and the terminal voltage of the reference battery cell in different temperatures and different states of charge of the reference battery cell are determined to be the second two-dimensional table.
7. An electronic device comprising at least one communication interface, at least one bus connected to the at least one communication interface, at least one processor connected to the at least one bus, at least one memory connected to the at least one bus, wherein a computer program is stored in the memory, and wherein the processor implements the method for determining the available capacity of a battery cluster according to any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium storing computer-executable instructions for performing the method of determining the available capacity of a battery cluster according to any one of the above claims 1 to 5 of the present application.
CN202411461576.8A 2024-10-18 2024-10-18 Method and device for determining available capacity of battery cluster, storage medium and electronic equipment Active CN119001493B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202411461576.8A CN119001493B (en) 2024-10-18 2024-10-18 Method and device for determining available capacity of battery cluster, storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202411461576.8A CN119001493B (en) 2024-10-18 2024-10-18 Method and device for determining available capacity of battery cluster, storage medium and electronic equipment

Publications (2)

Publication Number Publication Date
CN119001493A CN119001493A (en) 2024-11-22
CN119001493B true CN119001493B (en) 2025-03-11

Family

ID=93484586

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202411461576.8A Active CN119001493B (en) 2024-10-18 2024-10-18 Method and device for determining available capacity of battery cluster, storage medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN119001493B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105759213A (en) * 2016-02-16 2016-07-13 浙江安美科技有限公司 Method for measuring storage battery residual capacity SOC
CN108828446A (en) * 2018-04-20 2018-11-16 西南科技大学 A kind of modification method of ageing process to capacity impact
CN112415411A (en) * 2019-08-23 2021-02-26 比亚迪股份有限公司 Method and apparatus for estimating SOC of battery, vehicle, and storage medium

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4571000B2 (en) * 2005-03-29 2010-10-27 富士重工業株式会社 Remaining capacity calculation device for power storage device
JP4946269B2 (en) * 2006-08-28 2012-06-06 日産自動車株式会社 Battery characteristic calculation device and battery capacity calculation device
CN102761141B (en) * 2011-04-25 2017-04-19 中国科学院上海微系统与信息技术研究所 Electric quantity correction and control method of lithium ion power storage battery
CN112415410A (en) * 2019-08-23 2021-02-26 比亚迪股份有限公司 Method and apparatus for estimating SOC of battery, storage medium, and vehicle
CN112816893B (en) * 2021-01-04 2022-11-01 上海理工大学 Method for rapidly estimating capacity of battery pack based on residual charging capacity of battery pack monomer

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105759213A (en) * 2016-02-16 2016-07-13 浙江安美科技有限公司 Method for measuring storage battery residual capacity SOC
CN108828446A (en) * 2018-04-20 2018-11-16 西南科技大学 A kind of modification method of ageing process to capacity impact
CN112415411A (en) * 2019-08-23 2021-02-26 比亚迪股份有限公司 Method and apparatus for estimating SOC of battery, vehicle, and storage medium

Also Published As

Publication number Publication date
CN119001493A (en) 2024-11-22

Similar Documents

Publication Publication Date Title
KR102778050B1 (en) Method and device for determining battery capacity, management system and storage medium
CN109664795B (en) Battery pack passive equalization method and battery management system
CN111448467B (en) Method and system for modeling and estimating battery capacity
CN114264964B (en) Method, device, equipment and medium for evaluating battery capacity
CN110678765A (en) Apparatus and method for testing the performance of battery cells
CN113484762B (en) Battery state of health estimation method, device, equipment and storage medium
CN116930794A (en) Battery capacity updating method and device, electronic equipment and storage medium
CN112327183A (en) Lithium ion battery SOC estimation method and device
CN116224073A (en) Battery SOC estimation method, device, equipment, battery module and storage medium
CN102472800A (en) Method for calibrating electrochemical accumulator
CN113820615A (en) A kind of battery health detection method and device
CN114441982A (en) Battery system performance determination method, device, equipment, medium and program product
CN119001493B (en) Method and device for determining available capacity of battery cluster, storage medium and electronic equipment
KR20150034593A (en) Method and apparatus for state of charge estimation of battery
CN111033930B (en) Method for estimating state of charge of battery and battery pack and battery management system using the same
CN114636936B (en) Correction method and device for SOC prediction curve in charging stage of lead-acid battery
CN117148187A (en) SOH estimation method and system based on OCV calibration and electronic equipment
CN112906176B (en) Health prediction method and system of battery equivalent circuit model
CN115598542A (en) Lithium ion battery heat production power prediction method
CN118068208A (en) Battery health state estimation method and device
CN111177992B (en) Battery model based on electrochemical theory and equivalent circuit model and construction method thereof
CN117277520B (en) SOC-SOH combined calculation method and device for new energy storage power station
CN119395578B (en) Battery electrochemical damage consistency test method, device, equipment and medium
CN118777877A (en) Battery SOC correction method, device and computer readable storage medium
CN118151010A (en) Battery parameter identification method and related equipment thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant