Battery discharge capacity prediction method, device, equipment, medium and program product

Abstract

The present invention relates to the field of battery monitoring and management technology, and discloses a battery discharge capacity prediction method, device, equipment, medium, and program product. The method includes: initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at the current temperature and voltage; for each battery cell, calculating the remaining discharge capacity of the battery cell in real time, while monitoring the current temperature and voltage of the battery cell, and writing the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell; in response to a remaining discharge capacity query request, obtaining the current temperature and voltage of each battery cell; based on the battery discharge capacity matrix, searching for the remaining discharge capacity of each battery cell at the current temperature and voltage; and calculating the remaining discharge capacity of the battery. The present invention can correct the remaining capacity in combination with temperature and voltage.

Description

Technical Field

[0001] The present invention belongs to the technical field of battery monitoring and management, and in particular relates to a battery discharge capacity prediction method, device, equipment, medium and program product. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] During the discharge process of an automotive battery, the degree of discharge varies from cell to cell, leading to a discrepancy between the actual and theoretical discharge capacities. Ambient temperature and the continued discharge of the battery also cause variations in battery temperature. Depending on the placement of the battery cells within the battery pack, the temperatures of the individual cells can also vary. Temperature also has a certain impact on the battery's discharge capacity. Furthermore, the battery's discharge capacity is also affected by voltage. These factors contribute to inconsistent discharge levels for each cell at the same time. Current methods for predicting battery discharge capacity primarily rely on current integration, which doesn't account for the differences in discharge between cells caused by factors like temperature and voltage. Summary of the Invention

[0004] To overcome the above-mentioned deficiencies in the prior art, the present invention provides a battery discharge capacity prediction method, apparatus, device, medium, and program product. These methods can combine the two influencing factors of temperature and voltage to correct the remaining discharge capacity, resulting in a more accurate prediction.

[0005] To achieve the above object, a first aspect of the present invention provides a method for predicting battery discharge capacity, comprising the following steps:

[0006] Initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at a current temperature and voltage;

[0007] For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell;

[0008] In response to a remaining discharge capacity query request, obtaining a current temperature and voltage of each battery cell;

[0009] Based on the battery discharge capacity matrix, finding the remaining discharge capacity of each battery cell at the current temperature and voltage;

[0010] The remaining discharge capacity of the battery is calculated according to the remaining discharge capacity of each battery cell.

[0011] In some embodiments, initializing the discharge capacity matrix of each battery cell includes: obtaining identification information of the current battery, determining the number n of battery cells according to the identification information, and generating an n-dimensional battery discharge capacity matrix, where each dimension corresponds to the discharge capacity matrix of a single battery cell.

[0012] In some embodiments, when the number of elements obtained from the discharge capacity matrix corresponding to each battery cell exceeds a set threshold, subsequent query steps are started.

[0013] In some embodiments, when each remaining discharge capacity is written into the discharge capacity matrix, the corresponding time is also recorded. After the discharge is completed, the current measured between the writing time of the remaining discharge capacity and the time when the discharge is completed is integrated to obtain the real remaining discharge capacity corresponding to the writing time, and the real remaining discharge capacity replaces the written remaining discharge capacity.

[0014] In some embodiments, if the remaining discharge capacity of each battery cell at the current temperature and voltage is not found based on the battery discharge capacity matrix, the discharge capacity sub-matrices within the set temperature range and / or voltage range are clustered for the discharge capacity matrix corresponding to each battery cell to obtain multiple battery cell clusters; the corresponding battery cell cluster is determined based on the temperature and voltage, and the corresponding temperature and voltage are found from the discharge capacity matrices corresponding to other battery cells in the battery cell cluster.

[0015] In some embodiments, the method further includes: acquiring vehicle driving data and power loss information of electrical equipment in the vehicle; and predicting the remaining mileage based on the remaining discharge capacity, vehicle driving data and power loss information of electrical equipment in the vehicle.

[0016] A second aspect of the present invention provides a battery discharge capacity prediction device, comprising:

[0017] The discharge capacity matrix initialization module is configured as follows:

[0018] Initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at a current temperature and voltage;

[0019] For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell;

[0020] The discharge capacity query module is configured as follows:

[0021] In response to a remaining discharge capacity query request, obtaining a current temperature and voltage of each battery cell;

[0022] Based on the battery discharge capacity matrix, finding the remaining discharge capacity of each battery cell at the current temperature and voltage;

[0023] The remaining discharge capacity of the battery is calculated according to the remaining discharge capacity of each battery cell.

[0024] A third aspect of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the method described.

[0025] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement the method described.

[0026] A fifth aspect of the present invention provides a computer program product comprising computer executable instructions, wherein the computer executable instructions implement the method when executed by a processor.

[0027] One or more of the above technical solutions have the following beneficial effects:

[0028] By constructing a discharge capacity matrix for each battery cell, the correspondence between the remaining discharge capacity of each battery cell and its temperature and voltage is achieved. Then, when performing a remaining capacity query, the remaining discharge capacity of each battery cell can be obtained based on this correspondence. Compared with directly calculating the remaining discharge capacity based on the integral of current over time, the remaining discharge capacity can be corrected by combining the two influencing factors of temperature and voltage. At the same time, considering the differences between different battery cells, the discharge capacity of the entire battery pack is estimated based on the predicted single cell discharge capacity, and the prediction is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0030] Figure 1 A flow chart of a method for predicting battery discharge capacity in one or more embodiments of the present invention;

[0031] Figure 2 FIG. 1 is a module architecture diagram of a battery discharge capacity prediction device in one or more embodiments of the present invention. DETAILED DESCRIPTION

[0032] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0033] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0034] In the absence of conflict, the embodiments of the present invention and the features thereof may be combined with each other.

[0035] As described in the background technology, during the discharge process of a car battery, the actual discharge capacity and theoretical discharge capacity differ due to the inconsistent discharge degree of each battery cell. At the same time, during the charge and discharge process of the battery, the temperature of the battery will change, especially the temperature of the inner battery cells is higher, and the temperature also has a certain impact on the discharge capacity of the battery. In addition, the battery discharge capacity is also affected by the voltage. Currently, the current integration method is mainly used to predict the battery discharge capacity, without considering the influencing factors such as temperature and voltage, resulting in deviations in the prediction of the actual discharge capacity. In order to solve the above problems, see Figure 1 One or more embodiments of the present invention provide a method for predicting battery discharge capacity, the method specifically comprising:

[0036] Step 1: Initialize the discharge capacity matrix of each battery cell, where each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at the current temperature and voltage;

[0037] Step 2: For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell;

[0038] Step 3: In response to the remaining discharge capacity query request, obtain the current temperature and voltage of each battery cell;

[0039] Step 4: Based on the battery discharge capacity matrix, find the remaining discharge capacity of each battery cell at the current temperature and voltage;

[0040] Step 5: Calculate the remaining discharge capacity of the battery according to the remaining discharge capacity of each battery cell.

[0041] Steps 1 and 2 initialize the n-dimensional battery discharge capacity matrix. Understandably, this matrix needs to be populated and refined during vehicle use. In some embodiments, when the number of elements retrieved from the discharge capacity matrix corresponding to each battery cell exceeds a set threshold, subsequent query steps are initiated. Prior to this, the battery's remaining discharge capacity is predicted based on existing residual discharge capacity calculation methods. For example, the current integration method can be used to predict the battery's remaining discharge capacity.

[0042] Based on the above method, the remaining discharge capacity of each battery cell at different temperatures and voltages can be recorded. Compared with the remaining discharge capacity directly calculated based on the integral of current over time, the table lookup method can combine the two influencing factors of temperature and voltage to correct the remaining discharge capacity. At the same time, considering the differences between different battery cells, the discharge capacity of the entire battery pack can be estimated based on the predicted single cell discharge capacity, which makes the prediction more accurate.

[0043] In step 1, the identification information of the current battery is obtained, the number of battery cells n is determined based on the identification information, and an n-dimensional battery discharge capacity matrix is ​​generated, where each dimension corresponds to the discharge capacity matrix of a single battery cell, and each element in the discharge capacity matrix of each single battery cell is used to record the discharge capacity of a battery cell at the current temperature and voltage.

[0044] In the discharge capacity matrix of each single battery, a row may be used to represent the discharge capacity of the battery cell at different temperatures under the same voltage, or a column may be used to represent the discharge capacity of the battery cell at different temperatures under the same voltage. The specific form is not limited here.

[0045] In step 2, the discharge capacity matrix corresponding to each battery cell is updated in real time during vehicle use. Based on this, the dimension of each discharge capacity matrix can be gradually increased, the amount of basic data for query is increased, and the reliability of the query is improved.

[0046] In addition, in order to avoid storage pressure caused by excessive data volume and improve the hit rate of subsequent table lookups, in some embodiments, the numerical precision of temperature and voltage is set, such as one decimal place. When recording, the measured temperature / voltage is adjusted according to the set numerical precision, that is, in the discharge capacity matrix corresponding to each battery cell, the interval between adjacent temperatures / voltages is 0.1, thereby controlling the dimension of the discharge capacity matrix while satisfying data accuracy.

[0047] To improve the accuracy of the query data within the discharge capacity matrix, in some embodiments, the recorded data is corrected after each battery discharge. Specifically, when each remaining discharge capacity is written into the discharge capacity matrix in step 2, the corresponding time is also recorded. After the discharge is completed, the current measured between the time the remaining discharge capacity was written and the time the discharge was completed is integrated to obtain the actual remaining discharge capacity corresponding to the write time, and the actual remaining discharge capacity is used to replace the written remaining discharge capacity. In other words, the discharge capacity matrix is ​​corrected once per discharge cycle based on the actual remaining discharge capacity, improving the reliability of the data within the matrix and making the battery capacity prediction increasingly accurate during vehicle use. At the same time, because the discharge capacity matrix, which serves as the basis for the query, is periodically corrected, there is no need to consider the impact of battery aging and other issues on battery capacity prediction.

[0048] It is understandable that if the n-dimensional battery discharge capacity matrix contains a small amount of data, there may be no corresponding remaining discharge capacity value when performing a query based on the two query items of temperature and voltage. To solve the above problem, in step 4, if the remaining discharge capacity of each battery cell at the current temperature and voltage is found based on the battery discharge capacity matrix, step 5 is further executed; if the remaining discharge capacity is not found, the n-dimensional battery discharge capacity matrix is ​​clustered and the search is performed based on the clustered m-dimensional battery discharge capacity matrix (m<n).

[0049] As an example, clustering the n-dimensional battery discharge capacity matrix specifically includes: for the discharge capacity matrix corresponding to each battery cell, clustering the discharge capacity sub-matrices within a set temperature range and / or voltage range to obtain multiple battery cell clusters. If the corresponding temperature and voltage are not found in the battery discharge capacity matrix for a certain battery cell, the corresponding battery cell cluster is determined based on the temperature and voltage, and the corresponding temperature and voltage are searched from the discharge capacity matrices corresponding to other battery cells in the battery cell cluster. As an example, the temperature range can be 5°C interval, such as 20°C-25°C, 25°C-30°C; the voltage range can be 200mV interval, such as 3000mV-3200mV, 3200mV-3400mV.

[0050] It can be understood that through cluster analysis, battery cells with similar characteristics can be grouped into one category. For example, based on temperature range clustering, adjacent battery cells in the inner layer of the battery pack will be grouped together, and those in the outer layer will be grouped together. Therefore, when data is missing, the data of adjacent battery cells with similar characteristics can be used as prediction data, which greatly improves the query hit rate.

[0051] As an example, the above-mentioned battery remaining discharge capacity prediction method can be implemented using an object-oriented programming language. Specifically, a virtual battery base class is pre-constructed, comprising a parameter template and interface functions. The parameter template includes a multidimensional member matrix, namely, an n-dimensional battery discharge capacity matrix. The interface functions include a record processing interface function and a query interface function. When this virtual battery base class is installed on a computer or new energy vehicle, step 1 of the method is triggered, initializing an object to obtain an initialized n-dimensional battery discharge capacity matrix. During vehicle use, step 2 is executed using the record processing interface function to record the remaining discharge capacity in the matrix. During use, steps 3-5 are executed using the query interface function based on the member matrix in the object to predict the available discharge capacity. Using an object-oriented approach to simulate a battery, simply by providing it with sufficient numerical values, and the object can use functions to provide useful information to battery developers and electric vehicle users. Those skilled in the art will appreciate that the object-oriented programming language herein can be C++, but other languages, including but not limited to Java and Python, can also be used.

[0052] The method can be applied not only to batteries used in new energy electric vehicles, but also to all batteries that contain data acquisition modules.

[0053] Based on the remaining discharge capacity of the battery, the remaining driving range can be further predicted. Specifically, vehicle driving data (including road conditions and average speed) and power loss information of the vehicle's electrical devices are obtained. The remaining driving range is predicted based on the remaining discharge capacity, vehicle driving data, and power loss information of the vehicle's electrical devices. The remaining driving range prediction method can be implemented using existing methods and is not limited here.

[0054] One or more embodiments of the present invention are based on the inherent temperature, voltage, and current monitoring functions of the battery management system. By establishing a corresponding relationship between temperature, voltage, and remaining discharge capacity, and based on the remaining discharge capacity calculated based on existing current integration methods, a correction method combining temperature and voltage is provided to improve prediction accuracy.

[0055] See also Figure 2 , an embodiment of the present application provides a battery discharge capacity prediction device, the device comprising:

[0056] The discharge capacity matrix initialization module is configured as follows:

[0057] Initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at a current temperature and voltage;

[0058] For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell;

[0059] The discharge capacity query module is configured as follows:

[0060] In response to a remaining discharge capacity query request, obtaining a current temperature and voltage of each battery cell;

[0061] Based on the battery discharge capacity matrix, finding the remaining discharge capacity of each battery cell at the current temperature and voltage;

[0062] The remaining discharge capacity of the battery is calculated according to the remaining discharge capacity of each battery cell.

[0063] In the discharge capacity matrix initialization module, initializing the discharge capacity matrix of each battery cell includes: obtaining identification information of the current battery, determining the number n of battery cells according to the identification information, and generating an n-dimensional battery discharge capacity matrix, where each dimension corresponds to the discharge capacity matrix of a single battery cell.

[0064] When the number of elements in the discharge capacity matrix corresponding to each battery cell exceeds a set threshold, the subsequent query steps are started. During vehicle use, the discharge capacity matrix corresponding to each battery cell is updated in real time.

[0065] In the discharge capacity query module, if the remaining discharge capacity of each battery cell at the current temperature and voltage is not found based on the battery discharge capacity matrix, the discharge capacity sub-matrices within the set temperature range and / or voltage range are clustered for the discharge capacity matrix corresponding to each battery cell to obtain multiple battery cell clusters; the corresponding battery cell cluster is determined based on the temperature and voltage, and the corresponding temperature and voltage are searched from the discharge capacity matrices corresponding to other battery cells in the battery cell cluster.

[0066] The device also includes a mileage prediction module configured to obtain vehicle driving data and power loss information of electrical equipment in the vehicle; and predict the remaining mileage based on the remaining discharge capacity, vehicle driving data and power loss information of electrical equipment in the vehicle.

[0067] It should be noted that the apparatus provided in the above embodiments is merely illustrated by the division of the above functional modules when implementing its functions. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0068] One or more embodiments of the present invention further provide an electronic device that can be used to implement the battery discharge capacity prediction method in the above embodiments. The electronic device includes one or more processors, one or more memories coupled to the processors, and a communication module coupled to the processors.

[0069] The memory may include one or more non-volatile memories and one or more volatile memories. Examples of non-volatile memories include, but are not limited to, at least one of the following: read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, hard disk, compact disc (CD), digital video disc (DVD), or other magnetic storage and / or optical storage. Examples of volatile memories include, but are not limited to, at least one of the following: random access memory (RAM), or other volatile memories that do not persist during a power outage. The computer program may be stored in the ROM. When the processor executes the computer program, the above-mentioned battery discharge capacity prediction method is implemented.

[0070] In some embodiments, the program may be tangibly contained in a computer-readable medium, which may be included in a device (such as a memory) or other storage device accessible by the device. The program may be loaded from the computer-readable medium into RAM for execution. The computer-readable medium may include any type of tangible non-volatile memory, such as ROM, EPROM, flash memory, or a hard disk. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the battery discharge capacity prediction method described above.

[0071] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a server or terminal, the process or function described in the embodiment of the present application is generated in whole or in part. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a server or terminal or a data storage device such as a server or data center that includes one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, and a tape, etc.), an optical medium (e.g., a digital video disk (DVD), etc.), or a semiconductor medium (e.g., a solid-state drive, etc.).

[0072] In addition, although adopting specific order to describe each operation, this should be understood as requiring such operation to be carried out with shown specific order or with sequential order, or requiring all illustrated operations to be carried out to obtain desired result.Under certain environment, multitasking and parallel processing may be advantageous.Similarly, although comprising some specific implementation details in the above discussion, these should not be interpreted as limiting the scope of the application.Some features described in the context of independent embodiment can also be implemented in a single implementation in combination.On the contrary, the various features described in the context of independent implementation also can be implemented in a plurality of implementations individually or in the mode of any suitable subcombination.

[0073] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. A method for predicting battery discharge capacity, characterized in that: The following steps are involved: Initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at a current temperature and voltage; For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell; In response to a remaining discharge capacity query request, obtaining a current temperature and voltage of each battery cell; Based on the discharge capacity matrix corresponding to the battery cells, searching for the remaining discharge capacity of each battery cell at the current temperature and voltage; The remaining discharge capacity of the battery is calculated according to the remaining discharge capacity of each battery cell.

2. The battery discharge capacity prediction method according to claim 1, wherein: Initializing the discharge capacity matrix of each battery cell includes: obtaining identification information of the current battery, determining the number n of battery cells according to the identification information, and generating an n-dimensional battery discharge capacity matrix, where each dimension corresponds to the discharge capacity matrix of a single battery cell.

3. The battery discharge capacity prediction method according to claim 1, wherein: When the number of elements obtained in the discharge capacity matrix corresponding to each battery cell exceeds a set threshold, subsequent query steps are started.

4. The battery discharge capacity prediction method according to any one of claims 1 to 3, characterized in that: When each remaining discharge capacity is written into the discharge capacity matrix, the corresponding time is also recorded. After the discharge is completed, the current measured between the time when the remaining discharge capacity is written and the time when the discharge is completed is integrated to obtain the actual remaining discharge capacity corresponding to the written time. The actual remaining discharge capacity replaces the written remaining discharge capacity.

5. The battery discharge capacity prediction method according to claim 1, wherein: If the remaining discharge capacity of each battery cell at the current temperature and voltage is not found based on the discharge capacity matrix corresponding to the battery cell, the discharge capacity sub-matrices within the set temperature range and / or voltage range are clustered for the discharge capacity matrix corresponding to each battery cell to obtain multiple battery cell clusters; the corresponding battery cell cluster is determined according to the temperature and voltage, and the corresponding temperature and voltage are found from the discharge capacity matrices corresponding to other battery cells in the battery cell cluster.

6. The battery discharge capacity prediction method according to claim 1, wherein: The method further includes: acquiring vehicle driving data and power loss information of electrical equipment in the vehicle; and predicting the remaining driving mileage based on the remaining discharge capacity, the vehicle driving data and the power loss information of electrical equipment in the vehicle.

7. A battery discharge capacity prediction device, characterized in that: include: The discharge capacity matrix initialization module is configured as follows: Initializing a discharge capacity matrix for each battery cell, wherein each element in the discharge capacity matrix is ​​used to record the discharge capacity of a battery cell at a current temperature and voltage; For each battery cell, calculate the remaining discharge capacity of the battery cell in real time, monitor the current temperature and voltage of the battery cell, and write the temperature, voltage, and remaining discharge capacity into the discharge capacity matrix corresponding to the battery cell; The discharge capacity query module is configured as follows: In response to a remaining discharge capacity query request, obtaining a current temperature and voltage of each battery cell; Based on the discharge capacity matrix corresponding to the battery cells, searching for the remaining discharge capacity of each battery cell at the current temperature and voltage; The remaining discharge capacity of the battery is calculated according to the remaining discharge capacity of each battery cell.

8. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the memory stores computer instructions. When the computer instructions are executed by the processor, the electronic device executes the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement the method according to any one of claims 1 to 6.

10. A computer program product comprising computer executable instructions, characterized in that: The computer executable instructions implement the method according to any one of claims 1 to 6 when executed by a processor.

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