SOH correction method, cloud platform, system, device and storage medium

Abstract

The invention relates to an SOH correction method, a cloud platform, a system, equipment and a storage medium, and relates to the technical field of automobiles. The method comprises the following steps: acquiring a first SOH value and a second SOH value of a target battery; wherein the first SOH value is obtained by calculating the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of the battery with the same model as the target battery; under the condition that the difference value between the first SOH value and the second SOH value is greater than a preset threshold value, determining a third SOH value of the target battery; the third SOH value is determined according to the historical use information of the target battery, the historical SOH value and the charging information under different charging conditions; and when the difference value between the third SOH value and the second SOH value is smaller than or equal to a preset threshold value, correcting the first SOH value of the target battery based on the third SOH value. Therefore, the problem of poor SOH value precision can be avoided.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, in particular to the field of data processing technology, and specifically to a SOH correction method, cloud platform, system, device and storage medium. Background Art

[0002] In the wave of new energy vehicle development, power batteries are their vital core components. The accurate assessment of their state of health (SOH) is of vital significance for ensuring vehicle driving safety, effectively extending battery life and improving the comprehensive utilization efficiency of energy.

[0003] Related technology CN1116754960A proposes not to rely on accurate physical models when describing the battery aging principle and evolution process, but to make full use of aging data and establish the connection between the data and the battery SOH and remaining useful life (RUL) through a suitable learning algorithm.

[0004] Related technology CN115472924A proposes to ensure SOH accuracy throughout the entire life cycle by relying on cloud-edge collaboration and battery swap operation mode.

[0005] However, in actual application scenarios, power batteries are subject to complex influences from many aspects. Therefore, how to achieve accurate evaluation of power battery SOH in a complex and changing usage environment has become an urgent problem to be solved in the current new energy vehicle field. Summary of the invention

[0006] The present application provides a SOH correction method, cloud platform, system, device and storage medium to at least solve the technical problem of poor SOH accuracy in related technologies. The technical solution of the present application is as follows:

[0007] According to the first aspect provided by the present application, a SOH correction method is provided, including: obtaining a first SOH value and a second SOH value of a target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; when the difference between the first SOH value and the second SOH value is greater than a preset threshold, determining a third SOH value of the target battery; the third SOH value is determined according to the historical usage information, historical SOH value and charging information of the target battery under different charging conditions; when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold, correcting the first SOH value of the target battery based on the third SOH value.

[0008] According to the above-mentioned technical means, the present application can compare the difference between the first SOH value calculated by the vehicle based on the charging information of the battery at the current time and the second SOH value determined by the historical usage information of the target battery and the SOH value of the battery of the same model as the target battery, and when the difference is greater than a certain threshold, the SOH value of the vehicle is corrected to a third SOH value determined based on the historical usage information, historical SOH value and charging information of the target battery under different charging conditions. Therefore, by considering multiple data and estimation methods, the present application can effectively avoid calculation errors caused by a single estimation method or inaccurate data, and achieve accurate evaluation of the SOH of the power battery.

[0009] In one possible manner, the SOH value corresponding to the historical usage information and the SOH value corresponding to the charging information are determined; and a third SOH value is determined according to the SOH value corresponding to the historical usage information, the historical SOH value and the SOH value corresponding to the charging information.

[0010] According to the above-mentioned technical means, the present application can more comprehensively reflect the changes in the health status of the battery by comprehensively considering historical usage information, historical SOH values ​​and charging information, thereby more accurately evaluating the current health status of the battery.

[0011] In one possible manner, the historical usage information includes: the cumulative charge and discharge capacity and usage time of the target battery; determining the SOH value corresponding to the historical usage information includes: determining the SOH value corresponding to the historical usage information based on the cumulative charge and discharge capacity and usage time.

[0012] According to the above technical means, the present application can more accurately evaluate the changes in the health status of the battery during long-term use through the cumulative charge and discharge capacity and usage time of the target battery, thereby obtaining a more accurate SOH value.

[0013] In one possible manner, determining the SOH value corresponding to the charging information includes: determining the SOH values ​​of the target battery under multiple charging conditions based on the charging information; and performing weighted summation of the respective SOH values ​​under the multiple charging conditions to obtain the SOH value corresponding to the charging information.

[0014] According to the above technical means, the present application can take into account that the battery will experience a variety of charging conditions in actual use. Therefore, by comprehensively considering the SOH values ​​under these working conditions, a more accurate battery health status assessment can be obtained.

[0015] In one possible method, a third SOH value is determined based on the SOH value corresponding to the historical usage information, and the SOH value corresponding to the historical SOH value and the charging information, including: performing regression analysis on the historical SOH value and the SOH value corresponding to the charging information to obtain a fourth SOH value; and performing weighted summation of the fourth SOH value and the SOH corresponding to the historical usage information to obtain a third SOH value.

[0016] According to the above-mentioned technical means, the present application can capture the trend and law of the battery health status changing over time through regression analysis, so as to obtain a more accurate fourth SOH value. In addition, the further weighted summation step combines information from different sources, making the third SOH value more comprehensive and reliable, and able to more accurately reflect the current actual health status of the battery.

[0017] In one possible manner, when the difference between the third SOH value and the second SOH value is greater than a preset threshold, it is determined that the target battery is abnormal.

[0018] According to the above-mentioned technical means, the present application can compare the third SOH value (obtained based on a comprehensive evaluation of historical usage information, historical SOH values ​​and charging information) with the second SOH value (based on the historical SOH value and the SOH value of the same model battery). When the error between the two exceeds the preset range, it indicates that the target battery may have a potential fault. This helps to take necessary maintenance measures before the problem becomes serious to avoid further degradation of battery performance or safety accidents.

[0019] In one possible embodiment, the vehicle includes a SOH calculation unit; the method further includes: when the number of corrections to the SOH value of the target battery is greater than a number threshold, determining that an abnormality exists in the SOH calculation unit.

[0020] According to the above-mentioned technical means, the present application can ensure that when the SOH value is modified unnecessary or frequently multiple times by setting a number threshold, possible anomalies in the SOH calculation unit can be discovered in time, which helps to avoid inaccurate SOH values ​​caused by calculation unit failures, thereby improving the reliability of SOH evaluation.

[0021] According to the second aspect provided by the present application, a cloud platform is provided, including: an acquisition unit, a determination unit and a correction unit; the acquisition unit is used to acquire a first SOH value and a second SOH value of a target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; the determination unit is used to determine a third SOH value of the target battery when the difference between the first SOH value and the second SOH value is greater than a preset threshold value; the third SOH value is determined according to the historical usage information, the historical SOH value and the charging information under different charging conditions of the target battery; the correction unit is used to correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold value.

[0022] In one possible manner, the determination unit is specifically used to: determine the SOH value corresponding to the historical usage information, and determine the SOH value corresponding to the charging information; determine the third SOH value based on the SOH value corresponding to the historical usage information, the historical SOH value and the SOH value corresponding to the charging information.

[0023] In one possible manner, the determination unit is specifically configured to determine the SOH value corresponding to the historical usage information based on the accumulated charge and discharge capacity and the usage time.

[0024] In one possible manner, the determination unit is specifically used to: determine the SOH value of the target battery under multiple charging conditions based on the charging information; and perform weighted summation of the respective SOH values ​​under the multiple charging conditions to obtain the SOH value corresponding to the charging information.

[0025] In one possible manner, the determination unit is specifically used to: perform regression analysis on the historical SOH value and the SOH value corresponding to the charging information to obtain a fourth SOH value; and perform weighted summation on the fourth SOH value and the SOH corresponding to the historical usage information to obtain a third SOH value.

[0026] In a possible manner, the determination unit is further configured to determine that an abnormality exists in the target battery when a difference between the third SOH value and the second SOH value is greater than a preset threshold.

[0027] In a possible manner, the determination unit is further configured to determine that an abnormality exists in the SOH calculation unit when the number of times the SOH value of the target battery is corrected is greater than a number threshold.

[0028] According to a third aspect provided by the present application, a SOH correction system is provided, the SOH correction system comprising: a cloud platform and a vehicle; the vehicle is used to generate a first SOH value of a target battery; the vehicle is also used to obtain charging information of the target battery under different charging conditions; the cloud platform is used to obtain a first SOH value and a second SOH value of the target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; the cloud platform is also used to determine a third SOH value of the target battery when the difference between the first SOH value and the second SOH value is greater than a preset threshold value; the third SOH value is determined according to the historical usage information, the historical SOH value and the charging information under different charging conditions of the target battery; the cloud platform is also used to correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold value.

[0029] According to the fourth aspect provided by the present application, an electronic device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to execute instructions to implement the method of the above-mentioned first aspect and any possible implementation manner thereof.

[0030] According to the fifth aspect provided by the present application, a computer-readable storage medium is provided. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method in the above-mentioned first aspect and any possible implementation method thereof.

[0031] According to the sixth aspect provided by the present application, a computer program product is provided, the computer program product comprising computer instructions, and when the computer instructions are executed on an electronic device, the electronic device executes the method of the above-mentioned first aspect and any possible implementation manner thereof.

[0032] Therefore, the above technical features of the present application have the following beneficial effects:

[0033] (1) The difference between a first SOH value calculated by the vehicle based on the charging information of the battery at the current time and a second SOH value determined by the historical usage information of the target battery and the SOH value of a battery of the same model as the target battery can be compared. When the difference is greater than a certain threshold, the SOH value of the vehicle is corrected to a third SOH value determined based on the historical usage information, historical SOH value and charging information of the target battery under different charging conditions. Therefore, the present application can effectively avoid calculation errors caused by a single estimation method or inaccurate data by considering multiple data and estimation methods, thereby achieving accurate evaluation of the SOH of the power battery.

[0034] (2) By comprehensively considering historical usage information, historical SOH values, and charging information, it can more comprehensively reflect the changes in the battery's health status, thereby more accurately evaluating the battery's current health status.

[0035] (3) Through the cumulative charge and discharge capacity and usage time of the target battery, the changes in the health status of the battery during long-term use can be more accurately evaluated, thereby obtaining a more accurate SOH value.

[0036] (4) It can be considered that the battery will experience a variety of charging conditions in actual use. Therefore, by comprehensively considering the SOH values ​​under these conditions, a more accurate battery health status assessment can be obtained.

[0037] (5) Through regression analysis, the trend and law of battery health status changing over time can be captured, thereby obtaining a more accurate fourth SOH value. In addition, the further weighted summation step combines information from different sources, making the third SOH value more comprehensive and reliable, and can more accurately reflect the actual current health status of the battery.

[0038] (6) By comparing the third SOH value (obtained based on a comprehensive evaluation of historical usage information, historical SOH values, and charging information) with the second SOH value (based on the historical SOH value and the SOH value of the same model battery), when the error between the two exceeds the preset range, it indicates that the target battery may have a potential fault, which helps to take necessary maintenance measures before the problem becomes serious, thereby avoiding further degradation of battery performance or safety accidents.

[0039] (7) By setting the number threshold, it can be ensured that when unnecessary or frequent corrections are made to the SOH value multiple times, possible abnormalities in the SOH calculation unit can be discovered in time, which helps to avoid inaccurate SOH values ​​caused by calculation unit failures, thereby improving the reliability of SOH evaluation.

[0040] It should be noted that the technical effects brought about by any implementation method in the second to sixth aspects can refer to the technical effects brought about by the corresponding implementation method in the first aspect, and will not be repeated here.

[0041] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0043] Figure 1is a structural schematic diagram of a SOH correction system according to an exemplary embodiment;

[0044] Figure 2 is a flow chart of a SOH correction method according to an exemplary embodiment;

[0045] Figure 3 is a schematic diagram of a SOH correction process according to an exemplary embodiment;

[0046] Figure 4 is a schematic diagram of another SOH correction process according to an exemplary embodiment;

[0047] Figure 5 is a schematic diagram of a hardware architecture of a SOH correction system according to an exemplary embodiment;

[0048] Figure 6 is a block diagram of a cloud platform according to an exemplary embodiment;

[0049] Figure 7 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0050] In order to enable ordinary persons in the art to better understand the technical solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0051] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

[0052] In the embodiments of the present application, words such as "exemplary", "for example", or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary", "for example", or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example", or "for example" is intended to present related concepts in a specific way.

[0053] First, the relevant technologies involved in this application are explained to facilitate understanding by those skilled in the art.

[0054] In the wave of new energy vehicle development, power batteries are its vital core components. The accurate assessment of their SOH is of great significance for ensuring the safety of vehicle driving, effectively extending the service life of the battery, and improving the comprehensive utilization efficiency of energy. SOH, as an indicator to measure the ratio of the current capacity of the battery to the initial capacity, is the key basis for evaluating the degree of battery aging and predicting its remaining service life. However, in actual applications, power batteries are subject to the complex influence of multiple factors such as temperature fluctuations, number of charge and discharge cycles, overcharge and over-discharge phenomena, etc. These factors will cause the battery performance to gradually degrade, which in turn poses a challenge to the accurate measurement of SOH.

[0055] Traditional SOH assessment methods mainly rely on model construction and offline data analysis in laboratory environments. This method is not only time-consuming and labor-intensive, but also difficult to reflect the current health status of the battery in real time and has a certain lag.

[0056] Related technology 1 proposes not to rely on precise physical models when describing the battery aging principle and evolution process, but to make full use of aging data and establish the connection between data and battery SOH and RUL through a suitable learning algorithm.

[0057] Related technology 2 proposes to ensure the SOH accuracy throughout the entire life cycle by relying on cloud-edge collaboration and battery swapping operation mode.

[0058] However, in actual application scenarios, power batteries are subject to complex influences from many aspects. Therefore, how to achieve accurate evaluation of power battery SOH in a complex and changing usage environment has become an urgent problem to be solved in the current new energy vehicle field.

[0059] With the rapid advancement of Internet of Things and cloud computing technologies, it has become possible to integrate massive power battery data through the cloud to achieve online monitoring and remote calibration of battery SOH, providing a new solution for battery health management.

[0060] As described in the background technology, in order to solve the problem of poor SOH accuracy, the present application provides a SOH correction method, which can obtain a first SOH value and a second SOH value of a target battery, and then, when the difference between the first SOH value and the second SOH value is greater than a preset threshold, determine the third SOH value of the target battery, the third SOH value is determined based on the historical usage information, historical SOH value and charging information under different charging conditions of the target battery, and further when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold, correct the first SOH value of the target battery based on the third SOH value, wherein the first SOH value is calculated by the vehicle where the target battery is located based on the charging information of the battery at the current time, and the second SOH value is determined based on the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery.

[0061] Therefore, the present application can compare the difference between the first SOH value calculated by the vehicle based on the charging information of the battery at the current time and the second SOH value determined by the historical usage information of the target battery and the SOH value of the battery of the same model as the target battery, and when the difference is greater than a certain threshold, correct the SOH value of the vehicle to a third SOH value determined based on the historical usage information, historical SOH value and charging information of the target battery under different charging conditions. Therefore, the present application can effectively avoid calculation errors caused by a single estimation method or inaccurate data by considering multiple data and estimation methods, thereby achieving accurate evaluation of the SOH of the power battery.

[0062] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0063] Figure 1 A structural schematic diagram of a SOH correction system 100 is shown.

[0064] The SOH correction system 100 may include a cloud platform 101 and a vehicle 102. The cloud platform 101 may include a data collection device and a SOH correction device.

[0065] In one possible implementation, a communication connection may be established between the SOH correction device and the data acquisition device.

[0066] In practical applications, the SOH correction device may be communicatively connected to one or more data acquisition devices.

[0067] For ease of understanding, the present application is explained by taking the communication connection between a SOH correction device and a data acquisition device as an example.

[0068] Optionally, the SOH correction device and the data acquisition device may be functional modules integrated into the same device, or may be two devices independently provided. This application does not impose any limitation on this.

[0069] It is easy to understand that when the SOH correction device and the data acquisition device are functional modules integrated in the same device, the communication method between the SOH correction device and the data acquisition device is the communication between the internal modules of the device. In this case, the communication process between the two is the same as "the communication process between the SOH correction device and the data acquisition device when they are set independently of each other".

[0070] For ease of understanding, the present application is mainly explained by taking the example that the SOH correction device and the data acquisition device are independently configured.

[0071] Among them, the SOH correction device can receive the first SOH value and the second SOH value of the target battery sent by the data acquisition device, and determine the third SOH value of the target battery when the difference between the first SOH value and the second SOH value is greater than a preset threshold value, thereby, when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold value, the first SOH value of the target battery is corrected based on the third SOH value.

[0072] Optionally, the SOH correction device and the data collection device may be a terminal, a server, or other types of electronic devices. Figure 1 What is shown is only an example of the equipment form of the SOH correction device and the data acquisition device, and does not constitute a limitation thereto.

[0073] In one possible implementation, the cloud platform 101 may also be called a cloud computing platform (cloud computing platform), a cloud service platform (cloud service platform), a cloud storage platform (cloud storage platform), a big data platform (big data platform), a distributed computing platform (distributed computing platform), a SaaS platform (Software as a Service platform), a PaaS platform (Platform as a Service platform), an IaaS platform (Infrastructure as a Service platform), an edge computing platform (edge ​​computing platform), etc.

[0074] In the embodiment of the present application, the cloud platform 101 can be a public cloud, a private cloud, a hybrid cloud, a community cloud and other different types of deployment modes. In addition, the cloud platform can support various application scenarios, such as an enterprise-level application cloud platform, a government service cloud platform, an education cloud platform, a medical cloud platform, a financial cloud platform, an Internet of Things cloud platform, an intelligent manufacturing cloud platform, etc. The method is also applicable to cloud platforms customized for specific industries, such as e-commerce cloud platforms, logistics cloud platforms, transportation cloud platforms, energy cloud platforms, etc. In addition, the cloud platform can also be a cloud development platform, a cloud testing platform, a cloud deployment platform, etc. for developers. This application does not make specific restrictions on this.

[0075] In one possible implementation, the vehicle may also be called a vehicle, a mobile carrier, an electric vehicle (EV), a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), a fuel cell vehicle (FCV), an autonomous vehicle, an intelligent and connected vehicle (ICV), a driverless vehicle, etc.

[0076] In the embodiment of the present application, the vehicle 102 may be a sedan, a sport utility vehicle (SUV), a truck, an electric vehicle, a motorcycle, a tricycle, a special vehicle (such as an ambulance, a fire truck, a police car, etc.), an unmanned taxi, an intelligent networked bus, an automatic driving logistics vehicle, an electric truck, etc. In addition, the method is also applicable to various special vehicles, such as agricultural vehicles, mining vehicles, forestry vehicles, airport vehicles, port vehicles, etc. The present application does not make specific restrictions on this.

[0077] It should be noted that the structure illustrated in the embodiment of the present application does not constitute a limitation on the SOH correction system 100. The SOH correction system 100 may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0078] For ease of understanding, the SOH correction method provided by the present application is specifically introduced below with reference to the accompanying drawings.

[0079] Figure 2 is a flow chart of a SOH correction method according to an exemplary embodiment. Figure 2 As shown, the SOH correction method includes the following steps: S201-S203.

[0080] S201 : Acquire a first SOH value and a second SOH value of a target battery.

[0081] The first SOH value may be calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time. The second SOH value may be determined according to the historical SOH value of the target battery and the SOH value of the battery of the same model as the target battery.

[0082] Optionally, the target battery may be a power battery deployed on a vehicle, for example, the power battery may be a lithium-ion battery. This application does not impose any specific limitation on this.

[0083] In one possible implementation, the cloud platform may obtain a first SOH value of the target battery from the vehicle.

[0084] Specifically, the vehicle can collect charging information of the target battery in real time, and calculate the first SOH value based on the charging information. The cloud platform can send an acquisition instruction to the vehicle. After receiving the acquisition instruction sent by the cloud platform, the vehicle can send the first SOH value to the cloud platform.

[0085] Alternatively, the vehicle may collect charging information of the target battery in real time, calculate a first SOH value based on the charging information, and upload the first SOH value to the cloud platform after completing the calculation of the first SOH value.

[0086] In an embodiment of the present application, the slave control acquisition module of the battery management system (BMS) configured in the vehicle can be responsible for collecting signals such as voltage, temperature and current of the battery pack in real time, and transmit these data to the main control unit in real time. Subsequently, the vehicle-side system configured in the vehicle can integrate data such as the battery's state of charge (SOC), SOH, time information and charging time, and transmit them to the telematics service provider (TSP) through the on-board communication module (telematics box, T-box). The TSP platform can upload the uploaded data to the cloud platform for further data processing and analysis after screening the data validity.

[0087] In one possible implementation, the cloud platform may be configured with a data storage module. The data storage module may store the historical SOH value of the target battery and the SOH value of the battery of the same model as the target battery. The cloud platform may determine the second SOH value based on the historical SOH value of the target battery and the SOH value of the battery of the same model as the target battery.

[0088] S202 : When the difference between the first SOH value and the second SOH value is greater than a preset threshold, determine a third SOH value of the target battery.

[0089] The third SOH value is based on historical usage information, historical SOH values, and charging information under different charging conditions of the target battery.

[0090] In one possible implementation, the cloud platform may obtain historical usage information, historical SOH values, and charging information under different charging conditions of the target battery when the difference between the first SOH value and the second SOH value is greater than a preset threshold.

[0091] Optionally, the charging information may include one or more of the following signal information: charging start time, charging end time, static time before charging, static time after charging, charging current, charging start temperature, charging end temperature, charging start SOC, and charging end SOC. This application does not impose any specific restrictions on this.

[0092] Specifically, the cloud platform may send an acquisition instruction to the vehicle for acquiring charging information under different charging conditions when the difference between the first SOH value and the second SOH value is greater than a preset threshold. After receiving the acquisition instruction, the vehicle may send charging information under different charging conditions to the cloud platform.

[0093] Alternatively, the vehicle may upload charging information used to calculate the first SOH value to the cloud platform when the difference between the first SOH value and the second SOH value is greater than a preset threshold.

[0094] In some embodiments, after receiving the charging information uploaded by the vehicle, the cloud platform can filter and pre-process the charging information according to the charging start time, charging end time, static time before charging, static time after charging, charging current, charging start temperature, charging end temperature, charging start SOC, and charging end SOC signal information to obtain processed charging information.

[0095] In one possible implementation, the cloud platform can determine the third SOH value of the target battery based on the historical usage information, historical SOH value, and charging information under different charging conditions of the target battery. That is, the cloud platform can determine the SOH value corresponding to the historical usage information, and determine the SOH value corresponding to the charging information. The cloud platform can determine the third SOH value based on the SOH value corresponding to the historical usage information and the SOH value corresponding to the charging information.

[0096] The historical usage information may include the accumulated charge and discharge capacity and the usage time.

[0097] In one possible implementation, the cloud platform may determine the SOH value corresponding to the historical usage information based on the SOC value corresponding to the cumulative charge and discharge capacity and the usage time.

[0098] Specifically, the cloud platform can accurately record the cumulative charge and discharge capacity of the target battery, which can reflect the total charge and discharge process experienced by the battery in a specific time period. The cloud platform can record the usage time of the target battery, which can include the time when the battery is in an active state (i.e., charging or discharging), and may also include the time when the battery is in a standby or idle state. The cloud platform can use the battery's characteristic curve or mathematical model to calculate the SOC value. The characteristic curve or model can be established based on the battery's chemical composition, structural design, and actual usage experience, and can reflect the changes in the battery's charge state under different charging and discharging conditions.

[0099] The cloud platform can determine the SOH values ​​of the target battery under multiple charging conditions based on the charging information. The cloud platform can perform a weighted summation of the SOH values ​​under multiple charging conditions to obtain the SOH value corresponding to the charging information.

[0100] Exemplarily, the formula based on which the SOH value is calculated may include the following first formula and second formula.

[0101] First formula:

[0102]

[0103] Among them, R can be used to represent the battery internal resistance value of the target battery obtained by looking up the table, that is, the rated internal resistance. REOL can be used to represent the internal resistance value of the target battery at the end of its life.

[0104] Second formula:

[0105]

[0106] Among them, t1 can be used to represent the start time of charging. t2 can be used to represent the end time of charging. I can be used to represent the charging current. ΔSOC can be used to represent the charging change SOC value. Qnom Can be used to characterize the nominal capacity of the battery.

[0107] In one possible implementation, the cloud platform may perform regression analysis on the historical SOH values ​​and the SOH values ​​corresponding to the charging information to obtain a fourth SOH value.

[0108] Exemplarily, the historical usage information corresponds to the SOH value that satisfies the following third formula:

[0109] y=β0+β1x+β2ω+μω+μ third formula

[0110] β0 can satisfy the fourth formula:

[0111]

[0112] β1 can satisfy the fifth formula:

[0113]

[0114] β2 can satisfy the sixth formula:

[0115]

[0116] Among them, β0 can be used to represent the intercept. β1 can be used to represent the coefficient of x. β2 can be used to represent the coefficient of ω. μ can be used to represent the error term. x can be used to represent the number of SOH values. y can be used to represent the SOH value. ω can be used to represent the weight.

[0117] In one possible implementation, the cloud platform may perform a weighted summation of the fourth SOH value and the SOH corresponding to the historical usage information to obtain a third SOH value.

[0118] Exemplarily, the third SOH value, the SOH value corresponding to the historical usage information, and the fourth SOH value satisfy the following seventh formula:

[0119] SOH pre =α1f1(x,SOH s ,ω)+α2f2(C,t)The seventh formula

[0120] Among them, SOHpre can be used to characterize the third SOH value. f1 can be used to characterize the fourth SOH value. f2 can be used to characterize the SOH calculated by the cloud calendar life, that is, the SOH value corresponding to the historical usage information. x can be used to characterize the number of historical SOH values. SOHs can be used to characterize the historical SOH value, that is, y in the first formula. ω can be used to characterize the weight coefficient. C can be used for the cumulative charge and discharge capacity. t can be used to characterize the usage time of the target battery. α1 and α2 can be used to characterize two weights.

[0121] Exemplarily, as shown in Table 1, Table 1 shows charging information of different charging conditions and weights of the charging information of different charging conditions.

[0122] Table 1

[0123]

[0124] In addition, in combination with Table 1, the charging condition may also include information such as current magnitude, voltage magnitude, etc. The charging information may also include current, voltage, etc.

[0125] S203 : When the difference between the third SOH value and the second SOH value is less than or equal to a preset threshold, correct the first SOH value of the target battery based on the third SOH value.

[0126] In one possible implementation, the cloud platform can use sliding window technology to compare and analyze the first SOH value, the second SOH value, and the third SOH value. In this process, the cloud platform can set the size of a sliding window to observe the continuous changes in the SOH value. If the difference between the first SOH value and the second SOH value at multiple consecutive time points exceeds the preset threshold (the preset threshold can be reasonably adjusted based on previous historical data), and the difference between the third SOH value and the second SOH value does not exceed the preset threshold, the first SOH value of the target battery is corrected based on the third SOH value, that is, the SOH of the target battery is replaced with the third SOH value.

[0127] Alternatively, if the difference between the first SOH value and the second SOH value at multiple consecutive time points exceeds the preset threshold (the preset threshold can be reasonably adjusted based on previous historical data), and the difference between the third SOH value and the second SOH value at multiple consecutive time points exceeds the preset threshold, that is, the SOH value calculated by the cloud platform also shows the same abnormal pattern as the SOH calculated by the vehicle, then it can be confirmed that the target battery has an abnormal condition. At this time, the cloud platform or the vehicle can automatically send the target battery abnormal fault information to the after-sales service end, and the after-sales service end will further contact the customer to take corresponding treatment measures.

[0128] In one possible implementation, when the difference between the second SOH value and the first SOH value is greater than a preset threshold, the cloud platform can determine that the target battery has an abnormality. When the number of corrections to the SOH value of the target battery is greater than a threshold, the cloud platform can determine that the SOH calculation unit has an abnormality.

[0129] based on Figure 2According to the technical solution in, the present application can compare the difference between a first SOH value calculated by the vehicle based on the charging information of the battery at the current time and the historical usage information of the target battery and the second SOH value determined by the SOH value of a battery of the same model as the target battery, and when the difference is greater than a certain threshold, the SOH value of the vehicle is corrected to a third SOH value determined based on the historical usage information, historical SOH value and charging information of the target battery under different charging conditions. Therefore, by considering multiple data and estimation methods, the present application can effectively avoid calculation errors caused by a single estimation method or inaccurate data, thereby achieving accurate evaluation of the SOH of the power battery.

[0130] In some embodiments, Figure 3 As shown, it is a schematic diagram of a SOH correction process. Figure 3 The process includes the following steps: S301-S305.

[0131] S301. The BMS collects charging information of the target battery of the vehicle and uploads the charging information to the cloud platform through the T-box.

[0132] In one possible implementation, the BMS deployed on the vehicle can obtain vehicle data in real time, including charging information of the target battery such as voltage, temperature, current, charging start time, charging end time, SOC, SOH signal, etc., and upload the charging information to the cloud platform through the T-box.

[0133] S302: The cloud platform pre-processes and cleans the charging information to obtain processed information.

[0134] In one possible implementation, the cloud platform can pre-process the charging information uploaded by the vehicle, perform single-vehicle mode processing according to the vehicle identification number (VIN), delete invalid data and abnormal values, and obtain processed information.

[0135] S303: The cloud platform screens the processed information to obtain screened information.

[0136] In one possible implementation, the cloud platform may filter the processed information according to the filtering rules, that is, filter the processed information according to the field signal and delete unnecessary signal values.

[0137] S304. The cloud platform calculates the SOH value of the target battery based on the screened information.

[0138] In one possible implementation, the cloud platform can import the filtered information into a SOH calculation device, or perform calculations in a SOH calculation model, and combine the historical usage information of the target battery to predict the SOH using the linear regression method in the first formula.

[0139] S305. The cloud platform sends the SOH value to the vehicle for correction.

[0140] In one possible implementation, the cloud platform may send the SOH value to the vehicle, and the vehicle may correct the SOH value of the target battery based on the SOH value.

[0141] In some embodiments, Figure 4 , which is a schematic diagram of another SOH correction process.

[0142] In one possible implementation, the vehicle can obtain charging information in real time. The vehicle can upload the charging information to the cloud platform. The cloud platform can process the charging information when the difference between the first SOH value and the second SOH value is greater than a preset threshold. The cloud platform can determine the SOH value corresponding to the charging information after screening the charging information according to the working conditions. The cloud platform can perform a linear regression analysis based on the SOH value corresponding to the charging information and the historical SOH value to obtain a fourth SOH value. The cloud platform can perform a weighted summation of the fourth SOH value and the SOH value corresponding to the historical usage information to obtain a third SOH value. The cloud platform can correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold, otherwise, the target battery information is uploaded to the back-end sales.

[0143] When the difference between the first SOH value and the second SOH value is less than a preset threshold, the cloud platform can perform a linear regression analysis based on the SOH value corresponding to the charging information and the historical SOH value to obtain a fourth SOH value.

[0144] The cloud platform can obtain charging information in real time after the charging information is filtered out according to the working conditions.

[0145] In some embodiments, Figure 5 , which is a schematic diagram of a hardware architecture diagram of a SOH correction system.

[0146] The SOH correction system may include vehicles, cloud platforms, and mobile applications (ie, terminal interfaces).

[0147] The vehicle may include a data acquisition module, a power battery management system, and a communication module. The cloud platform may include a data receiving server, a data storage system, a data processing and analysis module, and a SOH calculation module.

[0148] The data acquisition module may include a voltage sensor, a current sensor, a temperature sensor, etc. The data acquisition module may be used to collect real-time working data of the battery.

[0149] The power battery management system can be responsible for real-time monitoring of the battery status, including parameters such as voltage, current, temperature, etc., and perform preliminary data processing.

[0150] The communication module can be used to transmit the collected data to the cloud platform wirelessly, usually a T-box.

[0151] The data receiving server can be used to receive data uploaded from the vehicle.

[0152] The data storage system can store the received charging information and battery data, and support the storage and management of large-scale data.

[0153] The data processing and analysis module can perform tasks such as data cleaning, feature extraction, and scene weight setting.

[0154] The SOH calculation module can calculate the SOH data, generate the SOH of the battery according to the analysis results, and determine the correction results.

[0155] The mobile app can display battery status information and historical data, as well as notifications and recommendations for users to review.

[0156] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to realize the above functions, the cloud platform or electronic device includes a hardware structure and / or software module corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0157] The embodiments of the present application can exemplarily divide the functional modules of the cloud platform or electronic device according to the above method. For example, the cloud platform or electronic device can include various functional modules corresponding to the various functional divisions, or two or more functions can be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiments of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0158] Figure 6 is a block diagram of a cloud platform according to an exemplary embodiment. Figure 6 The cloud platform includes: an acquisition unit 401, a determination unit 402 and a correction unit 403.

[0159] In a possible manner, the acquisition unit 401 is configured to acquire a first SOH value and a second SOH value of a target battery.

[0160] In a possible manner, the determining unit 402 is configured to determine a third SOH value of the target battery when a difference between the first SOH value and the second SOH value is greater than a preset threshold.

[0161] In a possible manner, the correction unit 403 is configured to correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to a preset threshold.

[0162] In one possible manner, the determination unit 402 is specifically used to: determine the SOH value corresponding to the historical usage information, and determine the SOH value corresponding to the charging information; determine the third SOH value according to the SOH value corresponding to the historical usage information, the historical SOH value and the SOH value corresponding to the charging information.

[0163] In a possible manner, the determination unit 402 is specifically configured to determine the SOH value corresponding to the historical usage information based on the accumulated charge and discharge capacity and the usage duration.

[0164] In one possible manner, the determination unit 402 is specifically used to: determine the SOH value of the target battery under multiple charging conditions based on the charging information; and perform weighted summation on the respective SOH values ​​under the multiple charging conditions to obtain the SOH value corresponding to the charging information.

[0165] In one possible manner, the determination unit 402 is specifically configured to: perform regression analysis on the historical SOH value and the SOH value corresponding to the charging information to obtain a fourth SOH value; and perform weighted summation on the fourth SOH value and the SOH corresponding to the historical usage information to obtain a third SOH value.

[0166] In a possible manner, the determination unit 402 is further configured to determine that an abnormality exists in the target battery when a difference between the third SOH value and the second SOH value is greater than a preset threshold.

[0167] In a possible manner, the determination unit 402 is further configured to determine that an abnormality exists in the SOH calculation unit when the number of times the SOH value of the target battery is corrected is greater than a number threshold.

[0168] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0169] Figure 7FIG. 1 is a block diagram of an electronic device according to an exemplary embodiment. Figure 7 As shown, the electronic device includes but is not limited to: a processor 501 and a memory 502 .

[0170] The memory 502 is used to store executable instructions of the processor 501. It can be understood that the processor 501 is configured to execute instructions to implement the SOH correction method in the above embodiment.

[0171] It should be noted that those skilled in the art can understand that Figure 7 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and the electronic device may include Figure 7 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0172] The processor 501 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 502, and calling data stored in the memory 502, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 501 may include one or more processing units. Optionally, the processor 501 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 501.

[0173] The memory 502 can be used to store software programs and various data. The memory 502 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required by at least one functional module (such as a determination unit, a processing unit, etc.), etc. In addition, the memory 502 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0174] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 502 including instructions, and the above instructions can be executed by the processor 501 of the electronic device 500 to implement the method in the above embodiment.

[0175] In actual implementation, Figure 6 The functions of the acquisition unit 401, the determination unit 402, and the correction unit 403 in Figure 7The processor 501 in the embodiment calls the computer program stored in the memory 502. The specific execution process can refer to the description of the method part in the above embodiment, which will not be repeated here.

[0176] Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0177] In an exemplary embodiment, the present application also provides a computer program product including one or more instructions, and the one or more instructions can be executed by the processor 501 of the electronic device to complete the method in the above embodiment.

[0178] It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

[0179] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned 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.

[0180] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0181] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0182] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0183] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the full classification part or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute the full classification part or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or CD and other media that can store program code.

[0184] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A SOH correction method, characterized in that: include: Obtaining a first SOH value and a second SOH value of a target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; When the difference between the first SOH value and the second SOH value is greater than a preset threshold, determining a third SOH value of the target battery; the third SOH value is determined according to historical usage information of the target battery, the historical SOH value, and charging information under different charging conditions; When the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold, the first SOH value of the target battery is corrected based on the third SOH value.

2. The method according to claim 1, characterized in that The determining a third SOH value of the target battery includes: Determining a SOH value corresponding to the historical usage information, and determining a SOH value corresponding to the charging information; The third SOH value is determined according to the SOH value corresponding to the historical use information, the historical SOH value, and the SOH value corresponding to the charging information.

3. The method according to claim 2, characterized in that The historical usage information includes: the cumulative charge and discharge capacity and usage time of the target battery; and determining the SOH value corresponding to the historical usage information includes: Based on the accumulated charge and discharge capacity and the usage time, a SOH value corresponding to the historical usage information is determined.

4. The method according to claim 2, characterized in that: The determining the SOH value corresponding to the charging information includes: Based on the charging information, determining respective SOH values ​​of the target battery under a plurality of charging conditions; A weighted sum is performed on the respective SOH values ​​under the multiple charging conditions to obtain an SOH value corresponding to the charging information.

5. The method according to any one of claims 2 to 4, characterized in that: The determining the third SOH value according to the SOH value corresponding to the historical usage information, the historical SOH value, and the SOH value corresponding to the charging information includes: Performing regression analysis on the historical SOH value and the SOH value corresponding to the charging information to obtain a fourth SOH value; A weighted sum is performed on the fourth SOH value and the SOH corresponding to the historical usage information to obtain the third SOH value.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: In a case where a difference between the third SOH value and the second SOH value is greater than the preset threshold, it is determined that an abnormality exists in the target battery.

7. The method according to any one of claims 1 to 4, characterized in that The vehicle includes a SOH calculation unit; the method further includes: When the number of times the SOH value of the target battery is corrected is greater than a number threshold, it is determined that an abnormality exists in the SOH calculation unit.

8. A cloud platform, characterized in that: The cloud platform includes: an acquisition unit, a determination unit and a correction unit; The acquisition unit is used to acquire a first SOH value and a second SOH value of a target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; The determining unit is used to determine a third SOH value of the target battery when the difference between the first SOH value and the second SOH value is greater than a preset threshold; the third SOH value is determined according to historical usage information of the target battery, the historical SOH value, and charging information under different charging conditions; The correction unit is configured to correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold.

9. The cloud platform according to claim 8, characterized in that: The determining unit is specifically configured to: Determining a SOH value corresponding to the historical usage information, and determining a SOH value corresponding to the charging information; The third SOH value is determined according to the SOH value corresponding to the historical use information, the historical SOH value, and the SOH value corresponding to the charging information.

10. The cloud platform according to claim 9, characterized in that: The historical usage information includes: the cumulative charge and discharge capacity and usage time of the target battery; the determination unit is specifically used to: Based on the accumulated charge and discharge capacity and the usage time, a SOH value corresponding to the historical usage information is determined.

11. The cloud platform according to claim 10, characterized in that: The determining unit is specifically configured to: Based on the charging information, determining respective SOH values ​​of the target battery under a plurality of charging conditions; A weighted sum is performed on the respective SOH values ​​under the multiple charging conditions to obtain an SOH value corresponding to the charging information.

12. The cloud platform according to any one of claims 9 to 11, characterized in that: The determining unit is specifically configured to: Performing regression analysis on the historical SOH value and the SOH value corresponding to the charging information to obtain a fourth SOH value; A weighted sum is performed on the fourth SOH value and the SOH corresponding to the historical usage information to obtain the third SOH value.

13. The cloud platform according to any one of claims 8 to 11, characterized in that: The determining unit is further configured to determine that an abnormality exists in the target battery when a difference between the third SOH value and the second SOH value is greater than the preset threshold.

14. The cloud platform according to any one of claims 8 to 11, characterized in that: The determination unit is further configured to determine that an abnormality exists in the SOH calculation unit when the number of times the SOH value of the target battery is corrected is greater than a number threshold.

15. A SOH correction system, characterized in that: The SOH correction system includes: a cloud platform and a vehicle; The vehicle is used to generate a first SOH value of a target battery; The vehicle is further used to obtain charging information of the target battery under different charging conditions; The cloud platform is used to obtain a first SOH value and a second SOH value of a target battery; wherein the first SOH value is calculated by the vehicle where the target battery is located according to the charging information of the battery at the current time, and the second SOH value is determined according to the historical SOH value of the target battery and the SOH value of a battery of the same model as the target battery; The cloud platform is further configured to determine a third SOH value of the target battery when a difference between the first SOH value and the second SOH value is greater than a preset threshold; the third SOH value is determined according to historical usage information of the target battery, the historical SOH value, and charging information under different charging conditions; The cloud platform is further configured to correct the first SOH value of the target battery based on the third SOH value when the difference between the third SOH value and the second SOH value is less than or equal to the preset threshold.

16. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 7.

17. A computer-readable storage medium, characterized in that: When the computer-executable instructions stored in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is capable of performing the method as claimed in any one of claims 1 to 7.

18. A computer program product comprising instructions, characterized in that When the instructions are executed by a computer, the computer is caused to perform the method according to any one of claims 1 to 7.

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