CN114019401A - SOC-OCV curve updating method and apparatus - Google Patents

SOC-OCV curve updating method and apparatus Download PDF

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CN114019401A
CN114019401A CN202111318328.4A CN202111318328A CN114019401A CN 114019401 A CN114019401 A CN 114019401A CN 202111318328 A CN202111318328 A CN 202111318328A CN 114019401 A CN114019401 A CN 114019401A
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battery
ocv
soc
moment
updating
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CN114019401B (en
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张正萍
高腾飞
钱再兴
揭立柱
曹强
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Chongqing Jinkang Sailisi New Energy Automobile Design Institute Co Ltd
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Chongqing Jinkang Sailisi New Energy Automobile Design Institute Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health

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Abstract

The invention relates to the field of batteries, in particular to a method and equipment for updating an SOC-OCV curve. The method is applied to the BMS and comprises the following steps: acquiring a first OCV of a battery at a first moment in an uncharged state; acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment; determining the SOC of the battery at a first moment according to the charging capacity; determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery; calculating a damping coefficient of the battery according to the first OCV, the second OCV and the third OCV; and updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient. The SOC-OCV curve updating method provided by the embodiment of the invention can judge the updating time of the SOC-OCV curve according to the use working condition of the battery, and the updated SOC-OCV curve has high accuracy.

Description

SOC-OCV curve updating method and apparatus
[ technical field ] A method for producing a semiconductor device
The invention relates to the field of batteries, in particular to a method and equipment for updating an SOC-OCV curve.
[ background of the invention ]
The State of Charge (SOC) and Open Circuit Voltage (OCV) relationship of a battery, i.e., an SOC-OCV curve, are important parameters for calibrating the SOC of a battery. In a method for using the SOC-OCV curve, OCV of the battery is measured, and the current electric quantity of the battery can be obtained by searching SOC corresponding to the OCV in the SOC-OCV curve.
However, the SOC-OCV curve changes with the aging of the battery, and how to update the SOC-OCV curve is a problem to be solved.
[ summary of the invention ]
In view of this, embodiments of the present invention provide a method and an apparatus for updating an SOC-OCV curve, which can determine a timing for updating the SOC-OCV curve according to a usage condition of a battery, and the updated SOC-OCV curve has high accuracy.
In a first aspect, an embodiment of the present invention provides a method for updating a state of charge-open circuit voltage SOC-OCV curve, which is applied to a battery management system BMS, and includes:
acquiring a first OCV of a battery at a first moment in an uncharged state;
acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment;
determining the SOC of the battery at the first moment according to the charging electric quantity;
determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery;
calculating a damping coefficient of the battery according to the first, second, and third OCVs;
and updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
In one possible implementation manner, obtaining a first OCV of the battery at a first time in an uncharged state includes:
when the SOH variation of the battery is larger than or equal to a first threshold value and the duration of the battery in the standing state is larger than or equal to a second threshold value, acquiring a first OCV of the battery at a first moment.
In one possible implementation manner, obtaining the charging capacity of the battery at a second time when the battery is charged from the first time to a full-charge state includes:
and performing integral calculation on the charging current of the battery at a second moment from the first moment to a full-charge state to obtain the charging electric quantity.
In one possible implementation manner, determining the SOC of the battery at the first time according to the charging electric quantity includes:
according to the formula
Figure BDA0003344562400000021
Determining the SOC variation delta SOC of a battery at a second moment when the battery is charged from the first moment to a full state, wherein delta C is the charging electric quantity, nominal capacity is the nominal capacity of the battery, and SOH is the state of health of the battery;
and calculating the difference between 100% and delta SOC to obtain the SOC of the battery at the first moment.
In one possible implementation manner, calculating the attenuation coefficient of the battery according to the first OCV, the second OCV, and the third OCV includes:
according to the formula
Figure BDA0003344562400000022
Determining the attenuation coefficient lambda, OCV of the battery1Is the first OCV, OCV2Is the second OCV, OCV3Is the third OCV.
In one possible implementation manner, updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient includes:
and multiplying the OCV corresponding to each SOC in the SOC-OCV curve by the attenuation coefficient respectively to obtain the updated OCV of each SOC.
In one possible implementation manner, updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient includes:
and when the attenuation coefficient is within a preset interval, updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery.
In a second aspect, an apparatus for updating a state of charge-open circuit voltage SOC-OCV curve according to an embodiment of the present invention is applied to a battery management system BMS, and includes:
the device comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a first OCV of a battery at a first moment in an uncharged state; acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment;
the determining module is used for determining the SOC of the battery at the first moment according to the charging electric quantity; determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery; calculating a damping coefficient of the battery according to the first, second, and third OCVs;
and the updating module is used for updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor calling the program instructions to be able to perform the method provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and when the program runs, the apparatus on which the computer-readable storage medium is located is controlled to execute the method in the first aspect.
It should be understood that the second to fourth aspects of the embodiment of the present invention are consistent with the technical solution of the first aspect of the embodiment of the present invention, and the beneficial effects obtained by the aspects and the corresponding possible implementation manners are similar, and are not described again.
The method and the device for updating the SOC-OCV curve can judge the time for updating the SOC-OCV curve according to the use working condition of the battery, and the updated SOC-OCV curve has high accuracy.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of a method for updating an SOC-OCV curve according to an embodiment of the present invention;
fig. 2(a) is a schematic diagram illustrating a power battery charged by an ac charging pile according to an embodiment of the present invention;
fig. 2(b) is a schematic diagram illustrating a charging process of a power battery using a dc charging pile according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an SOC-OCV curve according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an SOC-OCV curve updating apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The SOC-OCV curve of the battery can change continuously along with the aging of the battery, the SOC-OCV curve updating method provided by the embodiment of the invention can judge the time for updating the SOC-OCV curve according to the use working condition of the battery, the updated SOC-OCV curve has high accuracy, and the estimation accuracy of the SOC can be improved. Meanwhile, the method provided by the embodiment of the invention can be used in the whole life cycle of the battery, has no excessive limit on updating conditions and updating equipment, is simple and convenient to operate, and has positive effects on prolonging the service life of the battery and ensuring the safe use of the battery.
Fig. 1 is a flowchart of a method for updating an SOC-OCV curve according to an embodiment of the present invention. The method shown in fig. 1 is applied to a Battery Management System (BMS). As shown in fig. 1, the SOC-OCV curve updating method may include:
in step 101, a first OCV of a battery at a first time in an uncharged state is obtained.
The BMS may detect the SOH of the battery and the duration of the battery in a stationary state in real time. When the SOH variation quantity delta SOH of the battery is larger than or equal to a first threshold value, and the duration of the battery in the static state is larger than or equal to a second threshold value, measuring a first OCV of the battery at a first moment.
It should be noted that Δ SOH greater than or equal to the first threshold and the duration of the battery in the stationary state greater than or equal to the second threshold may be understood as an update timing for updating the SOC-OCV curve. Various parameters of the battery change along with the aging of the battery, when the Δ SOH is greater than or equal to the first threshold value, the SOC-OCV curve of the battery is considered to have changed, and the SOC-OCV curve needs to be updated. Preferably, the first threshold may be 2%.
The duration of the battery in the standing state is required to be greater than or equal to the second threshold value, so that the floating pressure influence is eliminated. After the battery is kept in a standing state for a period of time, the voltage of each single battery cell forming the battery tends to be stable, and the measured OCV is more accurate. Preferably, the second threshold may be 0.5 hours.
Specifically, the time when the update time is satisfied may be taken as a first time, the OCV of each cell in the battery at the first time is measured, and the minimum OCV of all the cells is taken as the OCV of the battery at the first time.
After the OCV of the battery at the first time is obtained, the process continues to step 102.
Step 102, acquiring the charging capacity of the battery at a second moment when the battery is charged from the first moment to a full state.
Specifically, the battery is charged from a first time, and the time when the battery is fully charged is taken as a second time; recording the charging current during charging of the battery and according to the formula
Figure BDA0003344562400000061
And determining the accumulated charging capacity of the battery from the first moment to the second moment, namely performing integral calculation on the charging current of the battery at the second moment from the first moment to the full-charge state to obtain the charging capacity. Where Δ C represents the amount of charge, t1Represents a first time instant t2Representing the second time instant, I represents the charging current.
The SOC-OCV curve updating method provided by the embodiment of the invention is mainly used for updating the SOC-OCV curve of the power battery in the new energy vehicle. Can use portable rifle that charges, wall-hanging electric pile that fills, vertical alternating-current charging stake or direct current fill electric pile to carry out external charging to the battery. For example, fig. 2(a) is a schematic diagram of charging a power battery using an ac charging post, and fig. 2(b) is a schematic diagram of charging a power battery using a dc charging post.
The conditions for judging that the battery reaches the full-charge state include: the cell cutoff voltage is reached, i.e., the cell cells in the battery reach a full state, and/or the total voltage cutoff voltage is reached, i.e., the battery including a plurality of cell cells reaches a full state. When the battery reaches a full state of charge, the SOC of the battery at this time can be considered to be 100%.
After the charging capacity is obtained, the step 103 is continuously executed.
And 103, determining the SOC of the battery at the first moment according to the charging capacity.
Specifically, first according to the formula
Figure BDA0003344562400000062
The amount of change in SOC Δ SOC of the battery from the first time to the second time is determined. Where Δ C is the charging capacity obtained in step 102, the nominal capacity is the nominal capacity of the battery, and SOH is the real-time SOH detected by the BMS when Δ SOC is calculated.
Then according to SOC1Calculating the SOC of the battery at a first time, namely SOC, 100% -delta SOC1. It is understood that the SOC of the battery at the first time is obtained by subtracting the change amount of the SOC of the battery before and after charging from the SOC after charging (the SOC of the battery at the second time).
Obtaining the SOC1Thereafter, execution continues with step 104.
And 104, determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery.
Specifically, fig. 3 is a schematic diagram of an SOC-OCV curve, which is plotted using a solid line, that is, an SOC-OCV curve to be used when determining the second OCV. This curve represents the OCV as a function of SOC, when the SOC-OCV curve has not been updated. Inquiring the curve to find the SOC1The corresponding second OCV may be regarded as the battery SOC1OCV theoretical value under the condition.
Also plotted in FIG. 3 is the SOC-OCV curve at End of battery Life (EOL), i.e., OCV in the legendEOLThe curve represented. Curve OCVEOLRepresenting the OCV as a function of SOC at the end of battery life. Query curve OCVEOLFind and SOC1A corresponding third OCV.
After the second OCV and the third OCV are determined, execution continues with step 105.
And 105, calculating the attenuation coefficient of the battery according to the first OCV, the second OCV and the third OCV.
In particular, according to the formula
Figure BDA0003344562400000071
The attenuation coefficient lambda of the cell is calculated. Wherein the OCV1Is the first OCV, OCV2Is the second OCV, OCV3The third OCV.
After the attenuation factor is obtained, the process continues to step 106.
And step 106, updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
Specifically, before updating the SOC-OCV curve, it is also necessary to determine whether the attenuation coefficient is within a preset interval. And if the attenuation coefficient is in the preset interval, updating the SOC-OCV curve, otherwise, not updating the SOC-OCV curve so as to avoid abnormal attenuation coefficient calculation caused by detection errors or other faults of the BMS in the steps 101 to 105.
Preferably, the preset interval may be set to λ ∈ [0.2, 1).
When updating the SOC-OCV curve, the OCV corresponding to each SOC in the SOC-OCV curve is multiplied by the attenuation coefficient respectively to obtain the updated OCV of each SOC.
As shown in fig. 3, the curve plotted by the solid line in the figure is the SOC-OCV curve before the update, and the curve represented by OCV (new) in the legend is the SOC-OCV curve after the update.
The SOC-OCV curve updating method provided by the embodiment of the invention can judge the time for updating the SOC-OCV curve according to the use working condition of the battery, and the updated SOC-OCV curve has high accuracy and can improve the estimation accuracy of the SOC. Meanwhile, the method provided by the embodiment of the invention can be used in the whole life cycle of the battery, has no excessive limit on updating conditions and updating equipment, is simple and convenient to operate, and has positive effects on prolonging the service life of the battery and ensuring the safe use of the battery.
In addition, since the SOC-OCV curve may be affected by the temperature, in step 101 of the above SOC-OCV curve updating method, the temperature T of the battery at the first time may also be considered1The measurement is performed. In the subsequent step, according to T1Determining a first OCV, a second OCV, and a third OCV based on the corresponding SOC-OCV curves, and calculating the attenuationCoefficient of T to1The corresponding SOC-OCV curve is updated. In the BMS, a plurality of temperature measurement points are provided on the battery, and when a difference between a maximum temperature and a minimum temperature of the plurality of temperature measurement points is less than or equal to 5 ℃, an average value of the temperatures of the plurality of temperature measurement points is taken as T1
Fig. 4 is a schematic diagram of an SOC-OCV curve updating apparatus according to an embodiment of the present invention. As shown in fig. 4, the SOC-OCV curve updating apparatus applied to the BMS may include:
an obtaining module 41, configured to obtain a first OCV of a battery at a first time in an uncharged state; and acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment.
A determining module 42, configured to determine an SOC of the battery at the first time according to the charging amount; determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery; and calculating the attenuation coefficient of the battery according to the first OCV, the second OCV and the third OCV.
And an updating module 43, configured to update the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
The obtaining module 41 is specifically configured to obtain a first OCV of the battery at a first time when a state of health SOH variation of the battery is greater than or equal to a first threshold and a duration of the battery in a stationary state is greater than or equal to a second threshold; and performing integral calculation on the charging current of the battery at a second moment from the first moment to a full-charge state to obtain the charging electric quantity.
The determination module 42 is particularly adapted to determine the value of the formula
Figure BDA0003344562400000091
Determining the SOC variation delta SOC of a battery at a second moment when the battery is charged from the first moment to a full state, wherein delta C is the charging electric quantity, nominal capacity is the nominal capacity of the battery, and SOH is the state of health of the battery; calculating the difference between 100% and delta SOC to obtain the position of the batterySOC at the first time; according to the formula
Figure BDA0003344562400000092
Determining the attenuation coefficient lambda, OCV of the battery1Is the first OCV, OCV2Is the second OCV, OCV3Is the third OCV.
The updating module 43 is specifically configured to, when the attenuation coefficient is within a preset interval, multiply the OCV corresponding to each SOC in the SOC-OCV curve by the attenuation coefficient, respectively, to obtain an updated OCV for each SOC.
The SOC-OCV curve updating apparatus provided in the embodiment shown in fig. 4 may be used to implement the technical solution of the embodiment of the method shown in fig. 1 of the present invention, and the implementation principle and the technical effect may be further referred to in the description of the embodiment of the method.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device may include at least one processor; and at least one memory communicatively coupled to the processor, wherein: the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the SOC-OCV curve updating method according to the embodiment of the invention shown in fig. 1. The electronic device is in the form of a general purpose computing device. Components of the electronic device may include, but are not limited to: one or more processors 410, a communication interface 420, a memory 430, and a communication bus 440 that connects the various system components (including the memory 430 and the processing unit 410).
Communication bus 440 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Electronic devices typically include a variety of computer system readable media. Such media may be any available media that is accessible by the electronic device and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 430 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) and/or cache Memory. The electronic device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. Memory 430 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility having a set (at least one) of program modules, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in memory 430, each of which examples or some combination may include an implementation of a network environment. The program modules generally perform the functions and/or methodologies of the described embodiments of the invention.
The processor 410 executes various functional applications and data processing by executing programs stored in the memory 430, for example, implementing the SOC-OCV curve updating method provided by the embodiment of fig. 1 of the present invention.
An embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, where when the program runs, a device in which the computer-readable storage medium is located is controlled to execute the SOC-OCV curve updating method provided in the embodiment shown in fig. 1 in the present invention.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The foregoing description of specific embodiments of the present invention has been presented. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the description of the present invention, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In the present disclosure, the schematic representations of the terms used above are not necessarily intended to be the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this disclosure can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A state of charge-open circuit voltage SOC-OCV curve updating method is applied to a battery management system BMS and comprises the following steps:
acquiring a first OCV of a battery at a first moment in an uncharged state;
acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment;
determining the SOC of the battery at the first moment according to the charging electric quantity;
determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery;
calculating a damping coefficient of the battery according to the first, second, and third OCVs;
and updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
2. The method of claim 1, wherein obtaining a first OCV for a first moment in time of the battery in an uncharged state comprises:
when the SOH variation of the battery is larger than or equal to a first threshold value and the duration of the battery in the standing state is larger than or equal to a second threshold value, acquiring a first OCV of the battery at a first moment.
3. The method of claim 1, wherein obtaining the charge level of the battery at a second time point when the battery is charged from the first time point to a full state comprises:
and performing integral calculation on the charging current of the battery at a second moment from the first moment to a full-charge state to obtain the charging electric quantity.
4. The method of claim 1, wherein determining the SOC of the battery at the first time based on the amount of charge comprises:
according to the formula
Figure FDA0003344562390000011
Determining the SOC variation delta SOC of a battery at a second moment when the battery is charged from the first moment to a full state, wherein delta C is the charging electric quantity, nominal capacity is the nominal capacity of the battery, and SOH is the state of health of the battery;
and calculating the difference between 100% and delta SOC to obtain the SOC of the battery at the first moment.
5. The method of claim 1, wherein calculating a damping coefficient for the battery from the first OCV, the second OCV, and the third OCV comprises:
according to the formula
Figure FDA0003344562390000021
Determining the attenuation coefficient lambda, OCV of the battery1Is the first OCV, OCV2Is the second OCV, OCV3Is the third OCV.
6. The method according to claim 1, wherein updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient includes:
and multiplying the OCV corresponding to each SOC in the SOC-OCV curve by the attenuation coefficient respectively to obtain the updated OCV of each SOC.
7. The method according to claim 1, wherein updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient includes:
and when the attenuation coefficient is within a preset interval, updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery.
8. A state of charge-open circuit voltage SOC-OCV curve updating device is characterized in that, applied to a battery management system BMS, the device comprises:
the device comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a first OCV of a battery at a first moment in an uncharged state; acquiring the charging electric quantity of the battery at a second moment when the battery is charged to a full state from the first moment;
the determining module is used for determining the SOC of the battery at the first moment according to the charging electric quantity; determining a second OCV corresponding to the SOC at the first moment and a third OCV at the end of the service life of the battery according to the SOC-OCV curve of the battery; calculating a damping coefficient of the battery according to the first, second, and third OCVs;
and the updating module is used for updating the OCV corresponding to each SOC in the SOC-OCV curve of the battery according to the attenuation coefficient.
9. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus on which the computer-readable storage medium resides to perform the method of any one of claims 1 to 7.
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