CN116930763A - Method for detecting residual capacity of battery based on rain flow counting method and application - Google Patents
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G01R31/385—Arrangements for measuring battery or accumulator variables
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Abstract
The application discloses a method for detecting the residual capacity of a battery based on a rain flow counting method, which comprises the following steps: obtaining an initial capacity estimated value of the battery in a standing state by using an open circuit voltage method; after the battery starts to work, performing time integration on the working current by using an ampere-hour integration method to obtain the discharged capacity of the battery, and obtaining the current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity; and adopting a rain flow counting method to count the temperature history of the battery, and optimizing the current capacity estimated value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history to obtain the residual capacity detection result of the battery. The method can solve the problems that the existing battery capacity estimation method cannot realize on-line fact detection, is easily influenced by temperature factors, has complex algorithm and low precision, and cannot meet engineering use requirements.
Description
Technical Field
The present application relates to the field of battery technologies, and more particularly, to a method for detecting a remaining battery capacity based on a rain flow counting method, a device for detecting a remaining battery capacity based on a rain flow counting method, an electronic device, and a computer-readable storage medium.
Background
In battery management and maintenance, a critical loop is to accurately estimate the State of charge (SOC) of the battery. The SOC of a lithium battery is an important index for evaluating the performance of the battery, reflecting the remaining usable capacity of the battery. The accurate SOC estimation can realize the efficient charge and discharge management of the battery, thereby avoiding the phenomenon of overcharging or overdischarging of the battery, leading the battery to operate in a safe area, protecting the battery and prolonging the service life of the battery. In addition, the high-precision SOC estimation can accurately remind the user of the residual electric quantity of the battery, the battery is reasonably used, the maximum effect of the battery is exerted on the premise of not damaging the battery, and the battery utilization rate is improved. And the high-precision SOC has reference value, so that the alarm or operation based on the SOC is more convincing, and the reliability of the lithium battery management system is improved.
Currently, the existing SOC estimation strategies are mostly implemented by indirectly measuring, and adopting a certain algorithm to realize SOC estimation of the battery according to battery working parameters such as working voltage, current, temperature, internal resistance and the like. The SOC estimation method is mainly proposed from research work of SOC estimation of the battery at home and abroad up to now: an ampere-hour integration method, an open circuit voltage method, a Kalman filtering method, a particle filtering method, a neural network method, a support vector machine regression analysis method and the like.
The open circuit voltage method draws a battery SOC-OCV relation graph according to the relation between the battery open circuit voltage and the battery SOC. To obtain an accurate OCV value of the battery pack, the battery needs to be left for a long time to make the battery pack in a stable state, is not suitable for on-line estimation of the SOC of the battery, and does not consider the influence of temperature and battery aging. Compared with an open circuit voltage method, the method can be used for estimating the state of the battery SOC in a working state, the principle is that the current is subjected to time integration to obtain the discharged capacity of the battery, then the ratio of the residual capacity to the rated capacity of the battery is calculated to obtain the SOC value. The Kalman filtering method, the particle filtering method, the neural network method and the support vector machine regression analysis method are complex in calculation, are poor in matching with actual conditions, and are not suitable for engineering application.
Disclosure of Invention
Aiming at least one defect or improvement requirement of the prior art, the application provides a method for detecting the residual capacity of a battery based on a rain flow counting method and application thereof, and aims to solve the problems that the existing battery capacity estimating method cannot realize on-line fact detection, is easily influenced by temperature factors, has complex algorithm and low precision and cannot meet engineering use requirements.
In order to achieve the above object, according to a first aspect of the present application, there is provided a method for detecting remaining capacity of a battery based on a rain flow counting method, comprising: obtaining an initial capacity estimated value of the battery in a standing state by using an open circuit voltage method; after the battery starts to work, performing time integration on the working current by using an ampere-hour integration method to obtain the discharged capacity of the battery, and obtaining the current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity; and adopting a rain flow counting method to count the temperature history of the battery, and optimizing the current capacity estimated value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history to obtain the residual capacity detection result of the battery.
In one embodiment of the present application, the obtaining the initial capacity estimation value in the battery resting state by using the open circuit voltage method includes: and standing the battery for a preset period of time, obtaining the corresponding relation between the open-circuit voltage and the state of charge of the battery, and calculating the initial value of the battery capacity according to the corresponding relation.
In one embodiment of the application, the current capacity estimate of the battery is expressed as:wherein Q is t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
In one embodiment of the present application, the remaining capacity detection result of the battery is expressed as:wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
According to a second aspect of the present application, there is also provided a device for detecting remaining capacity of a battery based on a rain flow counting method, comprising: the initial capacity estimation module is used for acquiring an initial capacity estimation value of the battery in a static state by using an open circuit voltage method; the current capacity estimation module is used for carrying out time integration on the working current by utilizing an ampere-hour integration method after the battery starts to work to obtain the discharged capacity of the battery, and obtaining the current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity; and the residual capacity detection module is used for counting the temperature history of the battery by adopting a rain flow counting method, optimizing the current capacity estimation value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history, and obtaining a residual capacity detection result of the battery.
In one embodiment of the present application, the initial capacity estimation module is specifically configured to: and standing the battery for a preset period of time, obtaining the corresponding relation between the open-circuit voltage and the state of charge of the battery, and calculating the initial value of the battery capacity according to the corresponding relation.
In one embodiment of the present application, the current capacity estimation module is specifically configured to: the current capacity estimate of the battery is expressed as:wherein Q is t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
In one embodiment of the present application, the remaining capacity detection module is specifically configured to: the remaining capacity detection result of the battery is expressed as:wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
According to a third aspect of the present application, there is also provided an electronic device comprising at least one processing unit, and at least one storage unit, wherein the storage unit stores a computer program, which when executed by the processing unit, causes the processing unit to perform the steps of the method for detecting remaining battery capacity based on a rain flow count method according to any one of the embodiments described above.
According to a fourth aspect of the present application, there is also provided a computer-readable storage medium storing a computer program executable by an access authentication apparatus, the computer program, when run on the access authentication apparatus, causing the access authentication apparatus to perform the steps of the method for detecting remaining capacity of a battery based on a rain flow counting method according to any one of the embodiments described above.
In general, compared with the prior art, the above technical solutions conceived by the present application can achieve at least the following beneficial effects:
1) The intelligent achievement provides a lithium battery residual capacity calculation optimization method based on a rain flow counting method, which is different from the problems that the existing lithium battery SOC prediction method is too complex and not suitable for engineering application and is easily affected by environment, and the technical scheme combines the accurate advantage of an open circuit voltage method and the online detection advantage of an ampere-hour integration method, optimizes the lithium battery SOC calculation by utilizing the rain flow counting method according to the temperature history of the battery, and has good engineering applicability accurately;
2) The initial value of battery capacity estimation is obtained by using an open circuit voltage method in a standing state, the current is integrated in time by using an ampere-hour integration method after the battery pack starts to work to obtain the discharged capacity of the battery, then the estimated value of the battery capacity is optimized by using a curve of the battery capacity and the temperature through the temperature history of the statistical battery by using a rain flow counting method, so that an optimized battery capacity estimation result is obtained.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for detecting remaining battery capacity based on a rain flow counting method according to an embodiment of the present application;
FIG. 2 is a diagram showing a correspondence between SOC and OCV of a battery obtained by an ampere-hour integration method according to an embodiment of the present application;
FIG. 3 is a schematic diagram showing the change of battery capacity with time at different temperatures according to an embodiment of the present application;
FIG. 4 is a schematic diagram showing statistics of temperature history of a battery during a service cycle by using a rain flow counting method according to an embodiment of the present application;
FIG. 5 is a graph showing the load stress of a battery according to an embodiment of the present application over time;
fig. 6 is a schematic structural diagram of a device for detecting remaining battery capacity based on a rain flow counting method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer readable storage medium according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. In addition, the technical features of the embodiments of the present application described below may be combined with each other as long as they do not collide with each other.
The terms first, second, third and the like in the description and in the claims and in the above drawings, are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, a first embodiment of the present application proposes a method for detecting remaining battery capacity based on a rain flow counting method, for example, including: step S1, obtaining an initial capacity estimated value of a battery in a standing state by using an open circuit voltage method; step S2, after the battery starts to work, performing time integration on the working current by using an ampere-hour integration method to obtain the discharged capacity of the battery, and obtaining the current capacity estimated value of the battery according to the initial capacity estimated value and the discharged capacity; and S3, adopting a rain flow counting method to count the temperature history of the battery, and optimizing the current capacity estimated value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history to obtain a residual capacity detection result of the battery.
In step S1, for example, the battery is left for a predetermined period of time, at which there is a fixed relationship of approximately one-to-one correspondence between the open-circuit voltage and the state of charge of the battery, as shown in fig. 2, from which the SOC of the battery can be estimated, a method called open-circuit voltage method, by which the initial capacity Q of the battery is obtained 0 。
In step S2, the ampere-hour integration method is a commonly used SOC estimation method based on charge accumulation, i.e. by calculating the integration of the charge-discharge current of the battery and the time for a period of time, the amount of charge or discharge of the battery during the period of time can be obtained. Specifically, the corresponding expression of the SOC of the current state and the initial state of the battery is as follows:
wherein Q is t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
In step S3, the remaining capacity of the battery is generally determined by the material system and the service time of the battery, i.e., the following formula:
Q(t)＝a×t z
taking the logarithm to obtain:
ln[Q(t)]＝ln(a)+×ln(t)
where z is the attenuation coefficient, determined by the design system, a is influenced by the chemical system, and the relationship between ln [ Q (t) ] and ln () follows a linear equation, with the slope being z.
As shown in fig. 3, for example, capacity tests at different temperatures were performed on lithium batteries of different types, and when the battery capacity was reduced to 80% of the rated capacity, the end of life was reached, and a curve of the battery capacity at different temperatures with time was obtained. Let the capacity of the battery after the lapse of time t1 to t2 (t2—t1=Δti) at temperature Ti be Q T (t)，Then there are: ln [ Q ] Ti (t1)]＝zi×Δti+ln[ Ti (2)]。
Based on the above data, it can be known that the battery capacity varies with time at different temperatures, and in the practical application environment, the battery temperature is in variation, so in order to accurately calculate the initial capacity of the battery after the battery experiences the unused temperature history, for example, the temperature history in the service period of the battery is counted by using a rain flow counting method, and the variation curve of the temperature with time is shown in fig. 4.
Because of irregular distribution of the temperature curve, for example, statistics is performed on the temperature by using a statistical counting method, so that the time at different temperatures is obtained. In actual conditions, the load applied to the material structure is not a standard constant amplitude load, and the process of converting these random loads applied to the material structure into a plurality of constant amplitude loads of different amplitude is called "programming load spectrum", and the process of converting the load-time curve in actual engineering into a plurality of complete cycles is called "statistical counting method". In order to measure the damage accumulation degree of the load to the material structure under the complex working condition, the random load or stress and the circulation times under different amplitudes can be counted based on a counting method, a load spectrum is formed by the counting result, and the damage accumulation degree is evaluated or the service life is predicted.
As shown in fig. 5, the rain cycle count method is also referred to as the "pagoda roof method" because the time axis becomes the vertical axis after rotating the load-time curve by 90 °, and the load stress is a series of roofs where rain falls. The peak of the load stress is on the right and the valley is on the left. A series of adjustments to the temperature profile are required before counting using a rain flow count method. Firstly, carrying out data compression, removing repeated numerical values in the data, and extracting peak-valley values in the data; therefore, other points in the temperature change curve need to be discarded. In addition, the temperature with small amplitude has little influence on the service life and needs to be abandoned. Thus, the time at the different temperatures Ti was Δti.
Since the current capacity estimation value before battery optimization is obtained through the steps S1 and S2Then, the temperature history of the battery is counted by adopting a rain flow counting method, the estimated value of the battery capacity is optimized by utilizing the curve of the battery capacity and the temperature, the slope of the change curve of the battery capacity along with time at different temperatures Ti is zi, the corresponding time interval is t=deltat1+deltat2+ & gtdeltati, and the corrected battery capacity Q t ' () is expressed as:
wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
In summary, according to the method for detecting the remaining capacity of the battery based on the rain flow counting method provided by the first embodiment of the application, unlike the existing lithium battery SOC prediction method, which has the problems of excessively complex calculation, inapplicability to engineering application, easiness in environmental influence and the like, the method combines the advantages of accuracy of an open circuit voltage method and the advantages of online detection of an ampere-hour integration method, optimizes the lithium battery SOC calculation by utilizing the rain flow counting method according to the temperature history of the battery, and has good engineering applicability accurately; the initial value of battery capacity estimation is obtained by using an open circuit voltage method in a standing state, the current is integrated in time by using an ampere-hour integration method after the battery pack starts to work to obtain the discharged capacity of the battery, then the estimated value of the battery capacity is optimized by using a curve of the battery capacity and the temperature through the temperature history of the statistical battery by using a rain flow counting method, so that the optimized battery capacity estimation result is obtained, the influence of the temperature experience of the lithium battery on the remaining capacity of the battery is fully considered, and the method has good real-time performance and accuracy.
In addition, as shown in fig. 6, a second embodiment of the application proposes a battery remaining capacity detection device 20 based on a rain flow counting method, for example, including: an initial value estimation module 201, a current capacity estimation module 202, and a remaining capacity detection module 203.
Wherein, the initial value estimation module 201 is used for obtaining an initial capacity estimation value of the battery in a standing state by using an open circuit voltage method; the current capacity estimation module 202 is configured to perform time integration on the working current by using an ampere-hour integration method after the battery begins to work to obtain a discharged capacity of the battery, and obtain a current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity; the remaining capacity detection module 203 is configured to count a temperature history of the battery by using a rain flow counting method, and optimize the current capacity estimation value by using a time-dependent change relation of the battery capacity at different temperatures based on the temperature history, so as to obtain a remaining capacity detection result of the battery.
In one embodiment, the initial value estimation module 201 is specifically configured to: and standing the battery for a preset period of time, obtaining the corresponding relation between the open-circuit voltage and the state of charge of the battery, and calculating the initial value of the battery capacity according to the corresponding relation.
In one embodiment, the current capacity estimation module 202 is specifically configured to: the current capacity estimate of the battery is expressed as:wherein Q is t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
In one embodiment, the remaining capacity detection module 203 is specifically configured to: the remaining capacity detection result of the battery is expressed as:wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
It should be noted that, the method for detecting the remaining battery capacity based on the rain flow counting method implemented by the device for detecting the remaining battery capacity based on the rain flow counting method 20 according to the second embodiment of the present application is as described in the foregoing first embodiment, and thus will not be described in detail herein.
Optionally, each module and the other operations or functions in the second embodiment are respectively to implement the method for detecting a remaining battery capacity based on a rain flow counting method according to the first embodiment, and the beneficial effects of the present embodiment are the same as those of the foregoing first embodiment, which is not repeated herein for brevity.
As shown in fig. 7, a third embodiment of the present application further provides an electronic device 30, for example, including: at least one processing unit 31, and at least one storage unit 32, wherein the storage unit 32 stores a computer program, which when executed by the processing unit, causes the processing unit to perform the steps of the method as described above, and the advantageous effects of the electronic device 30 provided by the present embodiment are the same as those of the battery remaining capacity detection method based on the rain flow counting method provided by the first embodiment.
As shown in fig. 8, the fourth embodiment of the present application further provides a computer readable storage medium 40, on which a computer program is stored, which when executed by a processor, implements the steps of the above method, and the advantageous effects of the computer readable storage medium 40 provided in this embodiment are the same as those of the method for detecting the remaining capacity of a battery based on the rain flow counting method provided in the first embodiment.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RandomAccess Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be performed by hardware associated with a program that is stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the application and is not intended to limit the application, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (10)
1. A method for detecting remaining battery capacity based on a rain flow counting method, comprising:
obtaining an initial capacity estimated value of the battery in a standing state by using an open circuit voltage method;
after the battery starts to work, performing time integration on the working current by using an ampere-hour integration method to obtain the discharged capacity of the battery, and obtaining the current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity;
and adopting a rain flow counting method to count the temperature history of the battery, and optimizing the current capacity estimated value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history to obtain the residual capacity detection result of the battery.
2. The method for detecting the remaining capacity of a battery based on a rain flow counting method according to claim 1, wherein the obtaining an initial capacity estimation value in a state where the battery is stationary by using an open circuit voltage method comprises:
and standing the battery for a preset period of time, obtaining the corresponding relation between the open-circuit voltage and the state of charge of the battery, and calculating the initial value of the battery capacity according to the corresponding relation.
3. The method for detecting the remaining capacity of a battery based on a rain flow counting method according to claim 1, wherein the current capacity estimation value of the battery is expressed as:
wherein Q is t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
4. The method for detecting the remaining capacity of a battery based on a rain flow counting method according to claim 1, wherein the remaining capacity detection result of the battery is expressed as:
wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
5. A device for detecting remaining capacity of a battery based on a rain flow counting method, comprising:
the initial capacity estimation module is used for acquiring an initial capacity estimation value of the battery in a static state by using an open circuit voltage method;
the current capacity estimation module is used for carrying out time integration on the working current by utilizing an ampere-hour integration method after the battery starts to work to obtain the discharged capacity of the battery, and obtaining the current capacity estimation value of the battery according to the initial capacity estimation value and the discharged capacity;
and the residual capacity detection module is used for counting the temperature history of the battery by adopting a rain flow counting method, optimizing the current capacity estimation value by utilizing the change relation of the battery capacity with time at different temperatures based on the temperature history, and obtaining a residual capacity detection result of the battery.
6. The apparatus for detecting remaining battery capacity based on a rain flow counting method according to claim 5, wherein the initial capacity estimation module is specifically configured to:
and standing the battery for a preset period of time, obtaining the corresponding relation between the open-circuit voltage and the state of charge of the battery, and calculating the initial value of the battery capacity according to the corresponding relation.
7. The apparatus for detecting remaining battery capacity based on a rain flow counting method according to claim 5, wherein the current capacity estimating module is specifically configured to:
the current capacity estimate of the battery is expressed as:wherein the method comprises the steps of，Q t For the current capacity estimation of the battery, Q 0 For initial capacity estimation of battery, C N I is the charge-discharge current of the battery, which is the rated capacity of the battery.
8. The device for detecting remaining battery capacity based on a rain flow counting method according to claim 5, wherein the remaining capacity detecting module is specifically configured to:
the remaining capacity detection result of the battery is expressed as:wherein Q is t ' as a result of detecting the remaining capacity of the battery, Q t As the current capacity estimation value of the battery, Δti is the time that the battery has elapsed at different temperatures, and zi is the time-dependent change of the battery capacity at different temperatures.
9. An electronic device comprising at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program which, when executed by the processing unit, causes the processing unit to perform the steps of the method for detecting remaining battery capacity based on a rain flow counting method of any one of claims 1-4.
10. A computer-readable storage medium, characterized in that it stores a computer program executable by an access authentication apparatus, which when run on the access authentication apparatus, causes the access authentication apparatus to execute the steps of the rain flow count method-based battery remaining capacity detection method according to any one of claims 1 to 4.
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| CN117706390A (en) * | 2024-02-06 | 2024-03-15 | 清华大学 | Rolling optimization estimation method and device for battery state of charge |
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| CN117706390A (en) * | 2024-02-06 | 2024-03-15 | 清华大学 | Rolling optimization estimation method and device for battery state of charge |
| CN117706390B (en) * | 2024-02-06 | 2024-04-19 | 清华大学 | Rolling optimization estimation method and device for battery state of charge |
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