Battery state of health assessment method and apparatus, vehicle, and storage medium

Abstract

A battery state of health assessment method and apparatus, a vehicle, and a storage medium. The method comprises: acquiring target working condition information of a target battery and a target cumulative charging and discharging capacity of the target battery under the target working condition, wherein the target working condition information comprises at least one of a battery temperature, a battery state of charge, and a charging mode (201); determining, from among battery health coefficients respectively corresponding to a plurality of working condition information intervals, a target battery health coefficient corresponding to the target working condition information, wherein the battery health coefficients are used for indicating the degrees of impact of different working condition information on the battery state of health (202); and determining the health degree of the target battery on the basis of the target cumulative charging and discharging capacity and the target battery health coefficient (203). A battery state of health assessment result is obtained by means of both the impact of different working conditions on the battery state of health and the cumulative charging and discharging capacities under different working conditions, so that the battery state of health assessment approach is more perfect, and the accuracy of battery state of health assessment is improved.

Description

Battery health status assessment method, device, vehicle and storage medium

[0001] This application claims priority to Chinese patent application number 202311250802.3, filed on September 25, 2023, entitled “Battery Health Status Assessment Method, Device, Equipment and Storage Medium,” the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present application relates to the field of battery technology, and in particular to a method, device, vehicle, and storage medium for evaluating the health status of a battery. Background Art

[0003] As one of the energy supply methods for new energy vehicles, batteries have been widely used in the power sector due to their advantages such as low operating costs and minimal environmental pollution. To ensure battery power performance and improve vehicle safety, it is often necessary to assess the battery's health status to prevent battery aging from affecting the user experience and improve battery safety.

[0004] In the related art, the health status of the battery is mainly evaluated by determining the cumulative charge and discharge capacity of the battery and determining the cumulative charge and discharge capacity as the health of the battery.

[0005] However, in the above methods, the evaluation methods are too idealistic and the influencing factors considered are too single, resulting in low accuracy of the evaluation results.

[0006] Summary of the Invention

[0007] This application provides a battery health status assessment method, device, vehicle, and storage medium, which can improve the accuracy of battery health status assessment results. The technical solution is as follows:

[0008] In one aspect, a method for evaluating a battery health state is provided, the method comprising:

[0009] Obtaining target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition, wherein the target operating condition information includes at least one of a battery temperature, a battery state of charge, and a charging mode, wherein the charging mode includes a fast charging mode and a slow charging mode;

[0010] Determining a target battery health factor corresponding to the target operating condition information from battery health factors corresponding to a plurality of operating condition information intervals, wherein the battery health factor is used to indicate the degree of influence of different operating condition information on the battery health state;

[0011] The health of the target battery is determined based on the target cumulative charge and discharge capacity and the target battery health factor, where the health factor is used to indicate a health state of the target battery.

[0012] Optionally, the multiple operating condition information intervals are operating condition information intervals corresponding to target chemical system characteristics, and the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

[0013] Optionally, the chemical system characteristics include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0014] Optionally, the battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery;

[0015] The simulation process includes:

[0016] Obtaining a target temperature range, a target state of charge range, and a target charging mode, wherein the target temperature range refers to a temperature range that causes battery life degradation, the target state of charge range refers to a state of charge range that causes battery life degradation, and the target charging mode includes multiple charging modes;

[0017] Dividing the target temperature interval into a plurality of sub-temperature intervals, and dividing the target state of charge interval into a plurality of sub-state of charge intervals;

[0018] combining the multiple temperature sub-intervals, the multiple state-of-charge sub-intervals, and the multiple charging modes to obtain multiple operating condition information intervals, each operating condition information interval including a temperature sub-interval, a state-of-charge sub-interval, and a charging mode;

[0019] Based on the multiple operating condition information intervals and the accumulated charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, the battery health factors respectively corresponding to the multiple operating condition information intervals are determined through a life simulation model.

[0020] Optionally, determining the battery health factors corresponding to the multiple operating condition information intervals respectively through a life simulation model based on the multiple operating condition information intervals and the accumulated charge and discharge capacities corresponding to the multiple operating condition information intervals respectively includes:

[0021] For each of the plurality of operating condition information intervals, determining, using the life simulation model, battery health factors corresponding to a plurality of operating condition data within the operating condition information interval, each operating condition data indicating a temperature, a state of charge, and a charging mode;

[0022] Based on the battery health factors corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval, the battery health factor corresponding to the operating condition information interval is determined.

[0023] Optionally, the target temperature range, the target state of charge range and the target charging mode are respectively the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes.

[0024] In another aspect, a device for evaluating a battery health status is provided, the device comprising:

[0025] a battery information acquisition module, configured to acquire target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition, wherein the target operating condition information includes at least one of battery temperature, battery state of charge, and charging mode, wherein the charging mode includes: fast charging mode and slow charging mode;

[0026] a battery health factor determination module, configured to determine a target battery health factor corresponding to the target operating condition information from the battery health factors corresponding to the plurality of operating condition information intervals, wherein the battery health factor is used to indicate the degree of influence of different operating condition information on the battery health state;

[0027] A battery health determination module is used to determine the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health factor, where the health is used to indicate the health status of the target battery.

[0028] Optionally, the multiple operating condition information intervals are operating condition information intervals corresponding to target chemical system characteristics, and the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

[0029] Optionally, the chemical system characteristics include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0030] Optionally, the battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery;

[0031] The simulation process includes:

[0032] Obtaining a target temperature range, a target state of charge range, and a target charging mode, wherein the target temperature range refers to a temperature range that causes battery life degradation, the target state of charge range refers to a state of charge range that causes battery life degradation, and the target charging mode includes multiple charging modes;

[0033] Dividing the target temperature interval into a plurality of sub-temperature intervals, and dividing the target state of charge interval into a plurality of sub-state of charge intervals;

[0034] combining the multiple temperature sub-intervals, the multiple state-of-charge sub-intervals, and the multiple charging modes to obtain multiple operating condition information intervals, each operating condition information interval including a temperature sub-interval, a state-of-charge sub-interval, and a charging mode;

[0035] Based on the multiple operating condition information intervals and the accumulated charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, the battery health factors respectively corresponding to the multiple operating condition information intervals are determined through a life simulation model.

[0036] Optionally, determining the battery health factors corresponding to the multiple operating condition information intervals respectively through a life simulation model based on the multiple operating condition information intervals and the accumulated charge and discharge capacities corresponding to the multiple operating condition information intervals respectively includes:

[0037] For each of the plurality of operating condition information intervals, determining, using the life simulation model, battery health factors corresponding to a plurality of operating condition data within the operating condition information interval, each operating condition data indicating a temperature, a state of charge, and a charging mode;

[0038] Based on the battery health factors corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval, the battery health factor corresponding to the operating condition information interval is determined.

[0039] Optionally, the target temperature range, the target state of charge range and the target charging mode are respectively the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes.

[0040] On the other hand, a vehicle is provided, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of the above-mentioned battery health status assessment method.

[0041] On the other hand, a computer-readable storage medium is provided, wherein a computer program is stored in the storage medium, and when the computer program is executed by a processor, the steps of the battery health status evaluation method described above are implemented.

[0042] On the other hand, a computer program product comprising instructions is provided. When the instructions are executed on a computer, the computer is caused to perform the steps of the battery health status assessment method described above.

[0043] The technical solution provided by this application can at least bring the following beneficial effects:

[0044] Since the target operating condition information includes at least one of the battery temperature, battery state of charge, and charging mode, these battery temperatures, battery state of charge, and charging mode all affect the battery health state, and different operating condition information has different degrees of impact on the battery health state. Therefore, by determining the target battery health factor corresponding to the target operating condition information, and then determining the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health factor, the health state of the target battery is evaluated. In other words, when evaluating the health state of the target battery, the impact of different operating conditions on the battery health state and the cumulative charge and discharge capacity under different operating conditions are combined to comprehensively obtain the battery health state evaluation result, making the battery health state evaluation method more complete and improving the accuracy of the battery health state evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0046] FIG1 is a schematic diagram of an implementation environment provided by an embodiment of the present application;

[0047] FIG2 is a flow chart of a method for evaluating battery health status provided in an embodiment of the present application;

[0048] FIG3 is a schematic diagram of the structure of a battery health status assessment device provided in an embodiment of the present application;

[0049] FIG4 is a schematic diagram of the structure of a computer device provided in an embodiment of the present application;

[0050] FIG5 is a schematic structural diagram of a vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0052] Before explaining in detail the battery health status evaluation method provided in the embodiment of the present application, the application scenarios and implementation environment involved in the embodiment of the present application are first introduced.

[0053] The embodiments of the present application are mainly used in scenarios for evaluating the health status of vehicle batteries. The evaluation scenario can be a closed test scenario, such as a test bench for a vehicle battery; it can also be an open usage scenario, such as evaluating the health status of a battery in a daily usage environment.

[0054] It should be noted that as the core of energy supply for new energy vehicles, the performance status of batteries will directly affect the user experience of new energy vehicles. In daily use of batteries, the charging and discharging process of batteries can be understood as the process of repeated migration of ions (such as lithium ions) in the battery between the positive and negative electrodes. As the battery is used for a longer time, the long-term circulation of ions will cause some ions to be gradually consumed as the active material ages, and even some ions cannot freely shuttle between the positive and negative electrodes due to reduced activity, resulting in a decrease in the discharge capacity of the battery after long-term charging and discharging, and aging.

[0055] Therefore, real-time and accurate determination of the battery's health status can not only promptly remind users to perform battery maintenance or replacement when the battery is aging, but also make real-time corrections to the battery's external discharge power-related SOP (State of Power) and range estimation-related SOC (State of Charge) based on the battery's health status, thereby improving the calculation accuracy of SOP and SOC.

[0056] Moreover, from another perspective, real-time and accurate determination of the battery's health status and timely reminders to users for battery maintenance and replacement can not only ensure the battery's power supply efficiency and protect the user's experience, but also avoid the abuse of aging batteries and improve the safety of batteries and vehicles.

[0057] In related technologies, the battery's SOH (State of Health) can be determined by accumulating the battery's charge and discharge capacity, or calendar life, to characterize the battery's aging and decay, i.e., its state of health. However, such methods consider too few factors and the calculation results are too idealized. For example, the daily use of batteries is relatively complex, and different operating conditions (such as different battery temperatures, different battery states of charge, and different battery charging modes) have significant effects on battery capacity decay. Therefore, the battery health status calculated using the above method cannot accurately reflect the battery's current health status.

[0058] Based on this, an embodiment of the present application provides a method for evaluating the battery health status. By fully considering the complex scenarios of the battery during use, combining the impact of different working conditions on the battery health status and the cumulative charge and discharge capacity under different working conditions, a comprehensive evaluation result of the battery health status is obtained, making the battery health status evaluation method more perfect and improving the accuracy of the battery health status evaluation.

[0059] Please refer to Figure 1, which is a schematic diagram illustrating an implementation environment according to an exemplary embodiment. The implementation environment includes at least one battery 101, a sensor 102, and a processor 103. Sensor 102 can communicate with at least one battery 101 and processor 103, respectively. This communication connection can be a wired or wireless connection, which is not limited in this embodiment of the application.

[0060] Optionally, the battery 101, sensor 102 and processor 103 may be independently provided or integrated into the same device (eg, integrated into the same vehicle).

[0061] The battery 101 may include a plurality of battery packs for providing electrical energy to the vehicle.

[0062] Sensor 102 is used to detect the operating condition information of battery 101. For example, sensor 102 may include a temperature sensor for detecting the battery temperature of battery 101; sensor 102 may also include an SOC (State of Charge) sensor for determining the battery state of charge of battery 101; sensor 102 may also include a voltage and current sensor for determining the voltage and current of charging battery 101, which is used to determine the charging mode of the battery and / or to determine the cumulative charge and discharge capacity of the battery. The cumulative charge and discharge capacity can also be understood as the cumulative charge and discharge capacity of the battery (AH, ampere-hour).

[0063] In some embodiments, the sensor 102 and the battery 101 may be integrated together to form a battery system of the vehicle, and the processor 103 obtains the operating condition information of the battery 101 through the sensor 102 in the battery system.

[0064] Processor 103 is configured to obtain battery operating condition information via sensor 102 and, based on the operating condition information, determine a battery health factor corresponding to the operating condition information. For example, processor 103 may store a correspondence between multiple operating condition information intervals and battery health factors, and then, based on the operating condition information of battery 101, determine the battery health factor corresponding to the operating condition information.

[0065] For example, the processor 103 may determine the operating condition information interval to which the operating condition information belongs based on the operating condition information of the battery, and determine the battery health factor corresponding to the operating condition information interval as the battery health factor corresponding to the operating condition information.

[0066] After determining the battery health factor corresponding to the operating condition information, the processor 103 can determine the health of the battery based on the battery health factor corresponding to the operating condition information and the cumulative charge and discharge capacity under the operating condition corresponding to the operating condition information.

[0067] Optionally, after determining the health of the battery 101 , the processor 103 may also report the currently determined health of the battery to the control system of the vehicle in real time.

[0068] The execution entity of the battery health status assessment method provided in the embodiment of the present application is the aforementioned processor 103. The processor 103 can be a general-purpose CPU (Central Processing Unit), NP (Network Processor), microprocessor, or can be one or more integrated circuits used to implement the solution of the present application, such as an ASIC (Application-Specific Integrated Circuit), a PLD (Programmable Logic Device), or a combination thereof. The aforementioned PLD can be a CPLD (Complex Programmable Logic Device), an FPGA (Field-Programmable Gate Array), a GAL (Generic Array Logic), or any combination thereof.

[0069] Those skilled in the art should understand that the above-mentioned processor 103 is only an example, and other existing or future processors that are applicable to the embodiments of the present application should also be included in the scope of protection of the embodiments of the present application and are included here by reference.

[0070] It should be noted that the application scenarios and implementation environments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Ordinary technicians in this field can know that with the emergence of new application scenarios and the evolution of the implementation environment, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0071] Next, the battery health status evaluation method provided in the embodiment of the present application is explained in detail.

[0072] FIG2 is a flow chart of a method for evaluating the health status of a battery provided in an embodiment of the present application, which is applied to the above-mentioned processor. Referring to FIG2 , the method includes the following steps.

[0073] Step 201: Obtain target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition. The target operating condition information includes at least one of battery temperature, battery state of charge, and charging mode. The charging mode includes: fast charging mode and slow charging mode.

[0074] In some embodiments, the sensor may obtain target operating condition information of the battery and the target cumulative charge and discharge capacity of the battery under the target operating condition, and then transmit the target operating condition information and the target cumulative charge and discharge capacity to the processor, where the target operating condition is the operating condition indicated by the target operating condition information.

[0075] Among them, the fast charging mode may refer to a charging mode in which the charging voltage, current and / or power is greater than or equal to a preset threshold, and the slow charging mode may refer to a charging mode in which the charging voltage, current and / or power is less than a preset threshold; alternatively, the fast charging mode and the slow charging mode may also refer to the fast charging mode and the slow charging mode of the battery in the relevant industry standards. The embodiments of the present application do not limit this. The preset threshold can be determined based on experimental data and relevant protocol provisions.

[0076] For example, the fast charging mode refers to a charging mode in which the charging power is greater than or equal to 40 kilowatts (kw), and the slow charging mode refers to a charging mode in which the charging power is less than 40 kw.

[0077] Step 202: Determine a target battery health factor corresponding to the target operating condition information from the battery health factors corresponding to the multiple operating condition information intervals. The battery health factor is used to indicate the degree of influence of different operating condition information on the battery health status.

[0078] In this embodiment of the present application, each operating condition information interval corresponds to a battery health factor, and different operating condition information intervals correspond to different battery health factors. Based on this, the operating condition information interval to which the target operating condition information belongs can be determined from the multiple operating condition information intervals, and the battery health factor corresponding to the operating condition information interval in which the target operating condition information falls can be determined as the target battery health factor corresponding to the target operating condition information.

[0079] In some embodiments, the multiple operating condition information intervals may be operating condition information intervals corresponding to target chemical system characteristics, where the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

[0080] It should be noted that, because different chemical system characteristics may lead to different battery life and sensitivity to changes in operating condition information, the corresponding operating condition information ranges for batteries with different chemical system characteristics may also vary. Taking the battery temperature range as an example, the sensitivity to changes in battery temperature for batteries with different chemical system characteristics may also vary, so the corresponding battery temperature ranges for batteries with different chemical system characteristics may also vary.

[0081] For example, a battery with chemical system characteristic A is a high-temperature resistant battery developed based on actual usage needs. It is less sensitive to high temperatures, meaning it can maintain relatively stable operating performance and safety at high temperatures. Therefore, the battery temperature range corresponding to this battery may be [-30°C, 80°C]. A battery with chemical system characteristic B is a low-temperature resistant battery developed based on actual usage needs. It is less sensitive to low temperatures, meaning it can maintain relatively stable operating performance and safety at low temperatures. Therefore, the battery temperature range corresponding to this battery may be [-60°C, 40°C].

[0082] It is understandable that after the vehicle is produced and assembled, the chemical system characteristics of the battery installed therein have been determined, and therefore the operating condition information range corresponding to the battery is also determined.

[0083] In some embodiments, the chemical system characteristics may include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0084] It should be noted that the electrode material refers to the positive and negative electrode materials of the battery, such as lithium alloy metal oxide for the positive electrode and graphite material for the negative electrode; the electrolyte material refers to the medium used by the battery, which is used to provide corresponding ions for the normal operation of the battery, such as organic solvents, electrolyte potassium salts, etc.; the electrode process parameters refer to the relevant process parameters in the production process of the battery electrode, such as the electrode electrochemical process, slurry composition, and mixing process requirements.

[0085] In some embodiments, the battery health factors corresponding to the multiple operating condition information intervals can be built into the processor by other electronic devices after simulating the entire life cycle of the battery, or can be obtained by the above-mentioned processor by simulating the entire life cycle of the battery. The simulation process can include the following steps (1)-(4). That is, the battery health factors corresponding to the multiple operating condition information intervals can be obtained by simulating the entire life cycle of the battery through the following steps (1)-(4).

[0086] (1) Obtaining a target temperature range, a target state of charge range, and a target charging mode. The target temperature range refers to a temperature range that causes battery life degradation. The target state of charge range refers to a state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes.

[0087] Among them, the target charging mode can be understood as the charging current range that causes battery life degradation. Battery life degradation refers to the loss of battery function and actual capacity caused by the sensitivity of the battery cells to changes in temperature, SOC, and current during battery use.

[0088] In some embodiments, the target temperature range, target state of charge range and target charging mode are respectively the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes.

[0089] Since different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes, a correspondence table between chemical system characteristics and temperature ranges, state of charge ranges and charging modes can be established in advance, and then the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics can be obtained from the correspondence table, and the obtained temperature range, state of charge range and charging mode can be determined as the target temperature range, target state of charge range and target charging mode.

[0090] For example, based on a vehicle's battery test bench, the entire life cycle of batteries with different chemical system characteristics can be simulated to determine the temperature range, state of charge range, and charging mode that cause the life decay of batteries with different chemical system characteristics, thereby obtaining a correspondence table between the battery's chemical system characteristics and the temperature range, state of charge range, and charging mode.

[0091] (2) Divide the target temperature interval into multiple sub-temperature intervals, and divide the target state of charge interval into multiple sub-state of charge intervals.

[0092] In some embodiments, the target temperature interval may be divided according to a temperature division strategy to obtain a plurality of sub-temperature intervals, and the target state of charge interval may be divided according to a state of charge division strategy to obtain a plurality of sub-state of charge intervals.

[0093] The temperature division strategy and the state of charge division strategy may be the same or different. In practical applications, the temperature division strategy and the state of charge division strategy may be adjusted according to actual needs.

[0094] It can be understood that when the temperature intervals and charge state intervals corresponding to different chemical system characteristics are different, the number and interval boundaries of sub-temperature intervals, as well as the number and interval boundaries of sub-charge state intervals corresponding to different chemical system characteristics are also different, and the temperature division strategy and charge state division strategy corresponding to different chemical system characteristics can be determined in combination with demand, and the embodiments of the present application do not limit this.

[0095] For example, assuming the target temperature range is [-30°C, 80°C], battery A has different sensitivities to different temperatures, which results in different life degradation of battery A at different temperatures. For example, battery A is less sensitive to high temperatures, that is, battery A can still maintain relatively stable operating performance and safety at high temperatures. Based on this, the target temperature range corresponding to battery A can be divided according to the different sensitivities of battery A to temperature, thereby obtaining three sub-temperature ranges: [-30°C, 0°C), [0°C, 25°C), and [25°C, 80°C].

[0096] (3) The multiple sub-temperature intervals, the multiple sub-state of charge intervals, and the multiple charging modes are combined to obtain multiple operating condition information intervals, each operating condition information interval including a sub-temperature interval, a sub-state of charge interval, and a charging mode.

[0097] For example, the multiple sub-temperature intervals are [-30℃, 0℃), [0℃, 25℃) and [25℃, 80℃]; the multiple sub-state of charge intervals are [0, 25%), [25%, 75%) and [75%, 100%), and the multiple charging modes are fast charging mode and slow charging mode. These three sub-temperature intervals, three sub-state of charge intervals and two charging modes are combined to obtain 18 operating condition information intervals, each of which includes a sub-temperature interval, a sub-state of charge interval and a charging mode. For example, one of the operating condition information intervals is an operating condition information interval with a sub-temperature interval of [-30℃, 0℃), a sub-state of charge interval of [25%, 75%) and a charging mode of slow charging mode.

[0098] (4) Based on the multiple operating condition information intervals and the cumulative charge and discharge capacities corresponding to the multiple operating condition information intervals, the battery health factors corresponding to the multiple operating condition information intervals are determined through a life simulation model.

[0099] In some embodiments, the life cycle of the battery under different operating condition information intervals can be simulated based on a life simulation model, so as to determine the battery health factors corresponding to the multiple operating condition information intervals based on the life cycle of the battery under different operating condition information intervals.

[0100] Since the principle for determining the battery health factor corresponding to each of the multiple operating condition information intervals is the same, one of the operating condition information intervals will be taken as an example for description.

[0101] In some embodiments, for any of the multiple operating condition information intervals, a battery health factor corresponding to multiple operating condition data within the operating condition information interval is determined using a life simulation model, where each operating condition data indicates a temperature, a state of charge, and a charging mode. The battery health factor corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval is determined.

[0102] As an example, the operating condition information interval includes multiple operating condition data, and the cumulative charge and discharge capacity corresponding to the operating condition information interval includes the cumulative charge and discharge capacities corresponding to the multiple operating condition data. In this case, the operating condition information interval is input into the life simulation model to obtain the battery health corresponding to the multiple operating condition data output by the life simulation model. Based on the battery health corresponding to each operating condition data and the cumulative charge and discharge capacity corresponding to each operating condition data, the battery health factor corresponding to each operating condition data is determined. Based on the battery health factors corresponding to the multiple operating condition data, the battery health factor corresponding to the operating condition information interval is determined.

[0103] In some embodiments, for any operating condition data within the operating condition information interval, the battery health corresponding to the operating condition data is divided by the cumulative charge and discharge capacity corresponding to the operating condition data to obtain the battery health factor corresponding to the operating condition data. The battery health factor corresponding to the operating condition information interval is then determined as the average of the battery health factors corresponding to the multiple operating condition data within the operating condition information interval.

[0104] Optionally, the electronic device or processor that performs the simulation process may include multiple databases for storing cumulative ampere-hours, which are also called cumulative ampere-hour databases. Different operating condition information intervals correspond to different cumulative ampere-hour databases, and different cumulative ampere-hour databases are used to store the cumulative charge and discharge capacities (also called cumulative charge and discharge AH ​​numbers, cumulative charge and discharge ampere-hours) corresponding to each operating condition data in different operating condition information intervals. Therefore, for each operating condition information interval in the multiple operating condition information intervals, the cumulative charge and discharge capacities corresponding to each operating condition data included in the operating condition information interval can be obtained from the cumulative ampere-hour database corresponding to the operating condition information interval, and then the battery health factor corresponding to the operating condition information interval is determined based on the cumulative charge and discharge capacities corresponding to each operating condition data.

[0105] In addition, considering that there may be randomness in single operating condition data, in order to avoid the impact of random data on the accuracy of the battery health factor, for any operating condition information interval, multiple battery health factors can be determined separately through multiple operating condition data within the operating condition information interval, and then the battery health factor corresponding to the operating condition information interval can be obtained based on the multiple battery health factors, so as to avoid the problem of excessive random errors caused by single operating condition data, thereby improving the accuracy of the battery health factor corresponding to each operating condition information interval.

[0106] In some embodiments, a lifespan simulation model can be constructed based on the chemical system characteristics of the battery. Different chemical system characteristics correspond to different lifespan simulation models. Based on this, when determining the battery health factor for multiple operating condition information intervals corresponding to the target chemical system characteristics, the lifespan simulation model corresponding to the target chemical system characteristics can be determined, and then the battery health factor for multiple operating condition information intervals corresponding to the target chemical system characteristics can be determined using the lifespan simulation model corresponding to the target chemical system characteristics.

[0107] For example, an LFP (LiFePO4, lithium iron phosphate) battery was developed for the high-temperature market, and a life simulation model was established based on the chemical system characteristics of the battery. The battery temperature range was divided into three sub-temperature ranges: [10°C, 25°C), [25°C, 35°C), and [35°C, 60°C]. The state of charge range was divided into three sub-state of charge ranges: [5%, 30%), [30%, 80%), and [80%, 100%). The charging mode was divided into a fast charging mode and a slow charging mode. The three sub-temperature ranges, the three sub-state of charge ranges, and the two charging modes were combined to obtain 18 operating condition information intervals. Then, based on the operating condition data in each of the 18 operating condition information intervals and the cumulative charge and discharge capacity corresponding to each operating condition data, the battery health factor corresponding to each of the 18 operating condition information intervals was determined through the corresponding life simulation model of the battery, and obtained from μ1 to μ18.

[0108] It should be noted that the simulation process proposed in the embodiment of the present application can also be applied to the scenario of comparative analysis of battery health factors under different operating conditions.

[0109] For example, a battery system S1 is developed for low-temperature regions. The chemical characteristics of battery system S1 take into account the impact of low-temperature environments, such as those below 0°C, on battery life. This means that battery system S1 is a low-temperature resistant battery system. Life simulation model 1 is constructed based on the chemical characteristics of battery system S1. Next, a battery system S2, developed for normal-temperature environments, is selected. This means that battery system S2 is not low-temperature resistant. Life simulation model 2 is constructed based on the chemical characteristics of battery system S2. Assuming an operating condition information range of -20°C < T < 0°C and 30% ≤ SOC ≤ 80%, life simulation model 1 determines the battery health factor μ1 for battery system S1 within this operating condition information range. Similarly, life simulation model 2 determines the battery health factor μ2 for battery system S2 within this operating condition information range. The simulation results show that μ1 < μ2.

[0110] As another example, a battery system is charged according to different charging modes, wherein the fast charging mode is charged according to the step current of the fast charging power map, and the slow charging mode is charged according to the rated output power of 6.6kw, and a life simulation model is established based on the chemical system characteristics of the battery. Assume that there are currently two operating condition information intervals, and the sub-temperature intervals included in these two operating condition information intervals are both 20℃<T<25℃, and the sub-state of charge intervals included in these two operating condition information intervals are both 30%≤SOC≤80%. The charging modes included in these two operating condition information intervals are fast charging mode and slow charging mode respectively. The battery health coefficient corresponding to these two operating condition information intervals is determined through the life simulation model, that is, the battery health coefficient μ corresponding to the fast charging mode. 慢充 Battery health factor μ corresponding to slow charging mode 快充 , and the results are compared: μ 慢充 <μ 快充 .

[0111] Step 203: Determine the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health factor. The health factor is used to indicate the health status of the target battery.

[0112] In some embodiments, the target cumulative charge and discharge capacity may be multiplied by the target battery health factor to obtain the target battery health.

[0113] It should be noted that the method for determining the target battery health based on the target cumulative charge and discharge capacity and the target battery health factor may vary in different scenarios. For example, in some other embodiments, the battery health value ranges from 0-100%. The battery loss value can be determined based on the target cumulative charge and discharge capacity and the target battery health factor, and the difference between 1 and the battery loss value is then determined as the target battery health.

[0114] For example, the target cumulative charge and discharge capacity is r1, the target battery health factor is μ2, and the target battery health SOH=1-r1*μ2.

[0115] In addition, considering that the operating condition information of the battery may change during use, and the loss of battery health under different operating conditions is continuously cumulative, in some embodiments, the cumulative charge and discharge capacity under each operating condition information during battery use can also be determined, and then the health of the target battery can be determined based on the cumulative charge and discharge capacity under each operating condition information and the battery health factor corresponding to each operating condition information.

[0116] For example, the target battery's post-production usage scenarios involve six operating condition information intervals, q1-q6. The corresponding cumulative charge and discharge capacities in these operating condition information intervals are r1-r6, and the corresponding battery health coefficients are μ1-μ6. For example, if the target battery's cumulative charge and discharge capacity in operating condition information interval q5 is r5, the battery health coefficient corresponding to this operating condition information interval is μ5. The target battery's state of health (SOH) is then calculated as 1-(r1*μ1+r2*μ2+r3*μ3+r4*μ4+r5*μ5+r6*μ6).

[0117] It should be noted that as the target battery usage environment (such as vehicle driving time, location, and weather) changes, the operating condition of the target battery will continue to change. Therefore, in actual applications, the battery health of the target battery at different times can be determined, so that users can grasp the health status of the target battery in a timely manner.

[0118] The embodiment of the present application proposes a method for evaluating the health status of a battery. Considering that the sensitivity of battery life decay to changes in temperature, state of charge, and charging mode varies under different chemical system characteristics, in order to make the battery health factor of the target battery more consistent with the sensitivity of the target battery to changes in operating conditions, multiple operating condition information intervals of the target battery are determined based on the chemical system characteristics of the target battery, and then the battery life cycle is simulated by a life simulation model to obtain the battery health factors corresponding to different operating condition information intervals, so that the battery health factor can fully consider the impact of different operating conditions on the battery health status and improve the accuracy of the battery health factor. Furthermore, when the target operating condition information of the target battery is obtained, the health of the target battery can be determined based on the target battery health factor corresponding to the target operating condition information and the target cumulative charge and discharge capacity of the target battery under the target operating condition, thereby achieving the evaluation of the health status of the target battery. That is to say, when evaluating the health status of the target battery, the changes in complex usage conditions during the actual use of the battery are comprehensively considered, such as the impact of changes in battery chemical system characteristics, battery temperature, battery state of charge, battery charging and discharging current (charging mode) and other factors on the battery life attenuation amplitude, and different battery health factors corresponding to different operating conditions are introduced. Combined with the impact of different operating conditions on the battery health status and the cumulative charge and discharge capacity under different operating conditions, the battery health status evaluation results are comprehensively obtained, thereby improving the accuracy of the battery health status evaluation.

[0119] Figure 3 is a schematic diagram of the structure of a battery health assessment device provided in an embodiment of the present application. The battery health assessment device can be implemented as part or all of a battery health assessment device using software, hardware, or a combination of both. The battery health assessment device can be a processor or computer device in the implementation environment shown in Figure 1. Referring to Figure 3, the device includes a battery information acquisition module 301, a battery health coefficient determination module 302, and a battery health determination module 303.

[0120] A battery information acquisition module 301 is configured to acquire target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition. The target operating condition information includes at least one of battery temperature, battery state of charge, and charging mode. The charging mode includes a fast charging mode and a slow charging mode.

[0121] A battery health factor determination module 302 is configured to determine a target battery health factor corresponding to a target operating condition from battery health factors corresponding to a plurality of operating condition information intervals. The battery health factor is used to indicate the degree of influence of different operating condition information on the battery health state.

[0122] The battery health determination module 303 is used to determine the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health factor. The health is used to indicate the health status of the target battery.

[0123] Optionally, the multiple operating condition information intervals are operating condition information intervals corresponding to target chemical system characteristics, and the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

[0124] Optionally, the chemical system characteristics include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

[0125] Optionally, the battery health coefficients corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery;

[0126] The simulation process includes:

[0127] Obtain a target temperature range, a target state of charge range, and a target charging mode. The target temperature range refers to the temperature range that causes battery life degradation. The target state of charge range refers to the state of charge range that causes battery life degradation. The target charging mode includes multiple charging modes.

[0128] Dividing the target temperature interval into multiple sub-temperature intervals, and dividing the target state of charge interval into multiple sub-state of charge intervals;

[0129] Combining the multiple temperature sub-intervals, the multiple state-of-charge sub-intervals, and the multiple charging modes to obtain multiple operating condition information intervals, each operating condition information interval including a temperature sub-interval, a state-of-charge sub-interval, and a charging mode;

[0130] Based on the multiple operating condition information intervals and the accumulated charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, the battery health factors respectively corresponding to the multiple operating condition information intervals are determined through a life simulation model.

[0131] Optionally, based on the multiple operating condition information intervals and the cumulative charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, determining the battery health factors respectively corresponding to the multiple operating condition information intervals through a life simulation model includes:

[0132] For each of the multiple operating condition information intervals, determining, using a life simulation model, battery health factors corresponding to multiple operating condition data within the operating condition information interval, each operating condition data indicating a temperature, a state of charge, and a charging mode;

[0133] Based on the battery health factors corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval, the battery health factor corresponding to the operating condition information interval is determined.

[0134] Optionally, the target temperature range, target state of charge range and target charging mode are respectively the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes.

[0135] In the embodiment of the present application, considering that the sensitivity of battery life decay to changes in temperature, state of charge, and charging mode under different chemical system characteristics is different, in order to make the battery health factor of the target battery more consistent with the sensitivity of the target battery to changes in operating conditions, multiple operating condition information intervals of the target battery are determined based on the chemical system characteristics of the target battery, and then the battery life cycle is simulated by a life simulation model to obtain the battery health factor corresponding to different operating condition information intervals, so that the battery health factor can fully consider the impact of different operating conditions on the battery health state, thereby improving the accuracy of the battery health factor. Furthermore, when the target operating condition information of the target battery is obtained, the health of the target battery can be determined based on the target battery health factor corresponding to the target operating condition information and the target cumulative charge and discharge capacity of the target battery under the target operating condition, thereby achieving the evaluation of the health state of the target battery. That is to say, when evaluating the health status of the target battery, the changes in complex usage conditions during the actual use of the battery are comprehensively considered, such as the impact of changes in battery chemical system characteristics, battery temperature, battery state of charge, battery charging and discharging current (charging mode) and other factors on the battery life attenuation amplitude, and different battery health factors corresponding to different operating conditions are introduced. Combined with the impact of different operating conditions on the battery health status and the cumulative charge and discharge capacity under different operating conditions, the battery health status evaluation results are comprehensively obtained, thereby improving the accuracy of the battery health status evaluation.

[0136] It should be noted that the battery health status assessment device provided in the above embodiment is only illustrated by the division of the above functional modules when evaluating the battery health status. 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 battery health status assessment device provided in the above embodiment and the battery health status assessment method embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0137] FIG4 is a schematic diagram of the structure of a computer device provided in an embodiment of the present application. Computer device 400 includes a central processing unit (CPU) 401, a system memory 404 including a random access memory (RAM) 402 and a read-only memory (ROM) 403, and a system bus 405 connecting system memory 404 and CPU 401. Computer device 400 also includes a basic input / output system (I / O system) 406 that facilitates information transmission between various components within the computer, and a mass storage device 407 for storing an operating system 413, application programs 414, and other program modules 415.

[0138] The basic input / output system 406 includes a display 408 for displaying information and an input device 409, such as a mouse and keyboard, for user input. Both the display 408 and the input device 409 are connected to the central processing unit 401 via an input / output controller 410 connected to the system bus 405. The basic input / output system 406 may also include an input / output controller 410 for receiving and processing input from a variety of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, the input / output controller 410 also provides output to a display screen, printer, or other types of output devices.

[0139] The mass storage device 407 is connected to the central processing unit 401 through a mass storage controller (not shown) connected to the system bus 405. The mass storage device 407 and its associated computer-readable media provide non-volatile storage for the computer device 400. That is, the mass storage device 407 may include computer-readable media (not shown) such as a hard disk or a CD-ROM drive.

[0140] Without loss of generality, computer-readable media may include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented using any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media include RAM, ROM, EPROM, EEPROM, flash memory or other solid-state storage technologies, CD-ROM, DVD or other optical storage, magnetic cassettes, magnetic tape, disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that computer storage media is not limited to the aforementioned types. The above-mentioned system memory 404 and mass storage device 407 may be collectively referred to as memory.

[0141] According to various embodiments of the present application, the computer device 400 may also be connected to a remote computer on a network such as the Internet for operation. That is, the computer device 400 may be connected to the network 412 via the network interface unit 411 connected to the system bus 405, or the network interface unit 411 may be used to connect to other types of networks or remote computer systems (not shown).

[0142] The memory also includes one or more programs, which are stored in the memory and configured to be executed by the CPU.

[0143] FIG5 is a block diagram of a vehicle 500 according to an embodiment of the present application. Generally, the vehicle 500 includes a processor 501 and a memory 502 .

[0144] The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field Programmable Gate Array), or PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0145] The memory 502 may include one or more computer-readable storage media, which may be non-transitory. The memory 502 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 502 is used to store at least one instruction, which is used to be executed by the processor 501 to implement the battery health status assessment method provided in the method embodiment of the present application.

[0146] In some embodiments, a computer-readable storage medium is further provided, the storage medium storing a computer program. When executed by a processor, the computer program implements the steps of the battery health status assessment method described in the above embodiments. For example, the computer-readable storage medium may be a ROM, RAM, CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0147] It is worth noting that the computer-readable storage medium mentioned in the embodiments of the present application may be a non-volatile storage medium, in other words, a non-transitory storage medium.

[0148] It should be understood that all or part of the steps for implementing the above embodiments may be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the steps may be implemented in the form of a computer program product. The computer program product may include one or more computer instructions. The computer instructions may be stored in the computer-readable storage medium.

[0149] That is, in some embodiments, a computer program product including instructions is further provided, which, when executed on a computer, enables the computer to execute the steps of the battery health status assessment method described above.

[0150] It should be understood that the "at least one" mentioned herein refers to one or more, and "a plurality of" refers to two or more. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in this article is merely a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit them to be different.

[0151] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in the embodiments of this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards of relevant countries and regions.

[0152] The above description is an embodiment provided for this application and is not intended to limit this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application should be included in the scope of protection of this application.

Claims

1. A method for evaluating battery health status, characterized in that: The method comprises: Acquire target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition, wherein the target operating condition information includes at least one of a battery temperature, a battery state of charge, and a charging mode, wherein the charging mode includes: a fast charging mode and a slow charging mode; Determining a target battery health factor corresponding to the target operating condition information from battery health factors corresponding to a plurality of operating condition information intervals, wherein the battery health factor is used to indicate the degree of influence of different operating condition information on the battery health state; Based on the target cumulative charge and discharge capacity and the target battery health factor, the health of the target battery is determined, where the health factor is used to indicate a health state of the target battery.

2. The method according to claim 1, characterized in that The multiple operating condition information intervals are operating condition information intervals corresponding to target chemical system characteristics, and the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

3. The method according to claim 2, characterized in that The chemical system characteristics include at least one of the following: electrode material, electrolyte material, and electrode process parameters.

4. The method according to any one of claims 1 to 3, characterized in that: The battery health factors corresponding to the multiple operating condition information intervals are obtained by simulating the entire life cycle of the battery; Wherein, the simulation process includes: Acquire a target temperature interval, a target state of charge interval, and a target charging mode, wherein the target temperature interval refers to a temperature interval causing battery life decay, the target state of charge interval refers to a state of charge interval causing battery life decay, and the target charging mode includes multiple charging modes; Dividing the target temperature interval to obtain a plurality of sub-temperature intervals, and dividing the target state of charge interval to obtain a plurality of sub-state of charge intervals; Combining the multiple temperature sub-intervals, the multiple state-of-charge sub-intervals, and the multiple charging modes to obtain multiple operating condition information intervals, each operating condition information interval including a temperature sub-interval, a state-of-charge sub-interval, and a charging mode; Based on the multiple operating condition information intervals and the accumulated charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, the battery health factors respectively corresponding to the multiple operating condition information intervals are determined through a life simulation model.

5. The method according to claim 4, characterized in that The determining, based on the multiple operating condition information intervals and the accumulated charge and discharge capacities respectively corresponding to the multiple operating condition information intervals, the battery health coefficients respectively corresponding to the multiple operating condition information intervals through a life simulation model, includes: For each of the multiple operating condition information intervals, determining, by the life simulation model, battery health factors corresponding to multiple operating condition data in the operating condition information interval, each operating condition data indicating a temperature, a state of charge, and a charging mode; Based on the battery health factors corresponding to the multiple operating condition data and the cumulative charge and discharge capacity corresponding to the operating condition information interval, the battery health factor corresponding to the operating condition information interval is determined.

6. The method according to claim 4, characterized in that The target temperature range, the target state of charge range and the target charging mode are respectively the temperature range, state of charge range and charging mode corresponding to the target chemical system characteristics, and the target chemical system characteristics are the chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different temperature ranges, state of charge ranges and charging modes.

7. A battery health status assessment device, characterized in that: The device comprises: A battery information acquisition module, used to acquire target operating condition information of a target battery and a target cumulative charge and discharge capacity of the target battery under the target operating condition, wherein the target operating condition information includes at least one of a battery temperature, a battery state of charge, and a charging mode, wherein the charging mode includes: a fast charging mode and a slow charging mode; A battery health factor determination module, used to determine a target battery health factor corresponding to the target operating condition information from the battery health factors corresponding to the multiple operating condition information intervals, wherein the battery health factor is used to indicate the degree of influence of different operating condition information on the battery health state; A battery health determination module is used to determine the health of the target battery based on the target cumulative charge and discharge capacity and the target battery health factor, wherein the health is used to indicate the health state of the target battery.

8. The device according to claim 7, characterized in that The multiple operating condition information intervals are operating condition information intervals corresponding to target chemical system characteristics, and the target chemical system characteristics are chemical system characteristics of the target battery; wherein different chemical system characteristics correspond to different operating condition information intervals.

9. A vehicle, characterized in that: The vehicle comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of the method described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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