Generalized distributed energy storage control method and device, computer equipment, readable storage medium and program product

Abstract

The application relates to a generalized distributed energy storage control method, device, equipment, medium and product, and relates to the technical field of energy storage. The method comprises the following steps: acquiring a power instruction for an energy storage system; the energy storage system is composed of a plurality of battery groups in parallel, and the battery groups are applied in at least one of the forms of centralized energy storage, distributed energy storage and mobile energy storage; according to the power instruction and a preset state of charge range of the battery groups, the energy storage capacity range of the battery groups is determined; the state of charge and the current charging and discharging state of each battery group are monitored in real time, and at least one target battery group is determined according to the state of charge, the current charging and discharging state and the power instruction; according to the current charging and discharging state, the state of charge, the power instruction and the energy storage capacity range, a first control instruction or a second control instruction for the target battery group is generated, and the first control instruction or the second control instruction is sent to the energy storage system. The method can improve the universality of energy storage control.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a generalized distributed energy storage control method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] With the development of the power system, the addition of renewable energy sources, such as wind power and photovoltaics, to the power supply side has exacerbated uncertainty on the source side. On the grid-load side, the integration of charging and discharging facilities, distributed photovoltaics, and other technologies has not only changed the traditional one-way power flow pattern on the grid side, but has also increased uncertainty in supply and demand, thereby reducing the stability of the power system. Energy storage, as a fast-responding and flexibly configurable regulatory resource, has attracted widespread attention in improving the safety and stability of power systems. Current energy storage system application scenarios primarily include centralized energy storage, distributed energy storage, and mobile energy storage. However, current energy storage control methods, corresponding to the three application forms mentioned above, primarily improve economic efficiency by optimizing the capacity configuration or operating life of each of the three in specific application scenarios. This makes it difficult to achieve a single control method that is applicable to all three energy storage scenarios. Therefore, current energy storage control methods suffer from low versatility. Summary of the Invention

[0003] Based on this, it is necessary to provide a generalized distributed energy storage control method, device, computer equipment, computer-readable storage medium and computer program product that can improve the versatility of energy storage control in order to address the above technical problems.

[0004] In a first aspect, the present application provides a generalized distributed energy storage control method, comprising:

[0005] Obtaining a power instruction for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage;

[0006] determining an energy storage capacity range of each of the battery packs according to the power command and a preset state of charge range of each of the battery packs;

[0007] monitoring the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determining at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command;

[0008] Based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

[0009] In one embodiment, determining at least one target battery pack according to the state of charge, the current charge and discharge state, and the power instruction includes:

[0010] Arrange the state of charge of each battery pack in ascending or descending order to obtain a battery pack arrangement result;

[0011] In a case where the power instruction is a charging instruction for the energy storage system, determining at least one target battery group from the battery groups whose current charge and discharge state is a discharge state according to the power instruction and the battery group arrangement result;

[0012] In the case where the power instruction is a discharge instruction for the energy storage system, at least one target battery pack is determined from the battery packs whose current charge and discharge state is a charging state according to the power instruction and the battery pack arrangement result.

[0013] In one embodiment, determining the energy storage capacity range of each battery pack according to the power command and a preset state of charge range of each battery pack includes:

[0014] Determining a total rated capacity reference value of the energy storage system according to the power instruction; the power instruction includes a preset total output value of the energy storage system and a preset output value of each of the battery packs;

[0015] Determining a rated capacity reference value for each of the battery packs according to the number of the battery packs included in the energy storage system, the preset state of charge range, and the total rated capacity reference value;

[0016] The energy storage capacity range of each of the battery packs is determined according to the preset state of charge range and the rated capacity reference value.

[0017] In one embodiment, generating a first control instruction or a second control instruction for the target battery pack according to the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, and sending the first control instruction or the second control instruction to the energy storage system includes:

[0018] Determining a stored energy state of the target battery pack according to the state of charge and the rated capacity reference value;

[0019] Determining an output value and a monotonic charge and discharge time period of the target battery pack according to the current charge and discharge state of the target battery pack, the energy storage energy state, the power instruction, and the energy storage capacity range;

[0020] A first control instruction or a second control instruction is generated according to the output value of the target battery group and the monotonic charge and discharge time period.

[0021] In one embodiment, determining the output value and monotonic charge and discharge time period of the target battery pack according to the charge and discharge state of the target battery pack, the energy storage energy state, the power instruction, and the energy storage capacity range includes:

[0022] When the current charge and discharge state of the target battery pack is a charging state, determining an output value and a monotonic discharge time period of the target battery pack according to the energy storage energy state, the power instruction, and an upper limit of the energy storage capacity range;

[0023] When the current charge and discharge state of the target battery pack is a discharge state, the output value and monotonic charging time period of the target battery pack are determined according to the energy storage energy state, the power instruction and the lower limit of the energy storage capacity range.

[0024] In one embodiment, the generalized distributed energy storage control method described in the above embodiment further includes:

[0025] The actual total capacity of the energy storage system is determined based on the total rated capacity reference value, the preset state of charge range, and the number of all the battery packs. The corresponding formula includes:

[0026]

[0027] Among them, C(n) represents the actual total capacity of the energy storage system, E es Characterizes the total rated capacity reference value, S max Characterizes the upper limit of the preset state of charge range, S min represents the lower limit of the preset state of charge range, 2n represents the total amount of the battery pack, and n represents the total amount of battery packs in a charging state or the total amount of battery packs in a discharging state.

[0028] In a second aspect, the present application further provides a generalized distributed energy storage control device, comprising:

[0029] An instruction acquisition module is used to obtain power instructions for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage;

[0030] a capacity determination module, configured to determine an energy storage capacity range of each of the battery packs based on the power command and a preset state of charge range of each of the battery packs;

[0031] a battery monitoring module, configured to monitor the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determine at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command;

[0032] An instruction control module is used to generate a first control instruction or a second control instruction for the target battery pack based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, and send the first control instruction or the second control instruction to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform monotonic charging operation and monotonic discharging operation, respectively.

[0033] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0034] Obtaining a power instruction for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage;

[0035] determining an energy storage capacity range of each of the battery packs according to the power command and a preset state of charge range of each of the battery packs;

[0036] monitoring the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determining at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command;

[0037] Based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0039] Obtaining a power instruction for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage;

[0040] determining an energy storage capacity range of each of the battery packs according to the power command and a preset state of charge range of each of the battery packs;

[0041] monitoring the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determining at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command;

[0042] Based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

[0043] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0044] Obtaining a power instruction for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage;

[0045] determining an energy storage capacity range of each of the battery packs according to the power command and a preset state of charge range of each of the battery packs;

[0046] monitoring the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determining at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command;

[0047] Based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

[0048] The above-described generalized distributed energy storage control method, apparatus, computer device, computer-readable storage medium, and computer program product expand the application scenarios of the energy storage system by obtaining a power instruction for an energy storage system, wherein the energy storage system is composed of multiple battery packs connected in parallel and the battery packs are applied in one or more of the following forms: centralized energy storage, distributed energy storage, and mobile energy storage. Based on the power instruction and the preset state of charge range of each battery pack, the energy storage capacity range of each battery pack is determined to understand the energy storage performance of each battery pack. The state of charge and current charge and discharge state corresponding to each battery pack are monitored in real time, and at least one target battery pack is determined based on the state of charge, current charge and discharge state, and power instruction. Furthermore, based on the current charge and discharge state, state of charge, power instruction, and energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack and sent to the energy storage system. The first control instruction and the second control instruction are used to control the target battery pack to perform monotonic charging and monotonic discharging operations, respectively. By adapting the battery pack to multiple application scenarios and determining the target battery pack from all battery packs based on the actual control requirements of the power command for the energy storage system, the monotonic charge and discharge operation control of the target battery pack is performed according to the charge state and current charge and discharge state of each target battery pack. While providing the control versatility of the energy storage system, according to the actual power command control requirements, the target battery pack is controlled to switch the charge and discharge state on demand, reducing the number of charge and discharge state switching of each battery pack, thereby extending the life of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 2. It is an application environment diagram of a generalized distributed energy storage control method in one embodiment;

[0051] Figure 2 1 is a flow chart of a generalized distributed energy storage control method according to an embodiment;

[0052] Figure 3 A schematic flow chart of the steps for determining the energy storage capacity range in one embodiment;

[0053] Figure 4 A schematic diagram of charge state changes of a first battery pack and a second battery pack in one embodiment;

[0054] Figure 5A schematic diagram of the relationship between energy storage capacity and the number of parallel battery groups in one embodiment;

[0055] Figure 6 is a structural block diagram of a generalized distributed energy storage control device in one embodiment;

[0056] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0058] The generalized distributed energy storage control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the application environment includes: an energy storage system 102, a computer device 104, and multiple battery packs 106. The battery management system of the energy storage terminal 102 communicates with the computer device 104 via a network, and each battery pack 106 is provided with a corresponding battery management system. The computer device 104 can be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services. The computer device 104 can also be a terminal, not limited to various personal computers, laptops, etc. The computer device 104 obtains a power instruction for the energy storage system 102. The energy storage system 102 is composed of multiple battery packs 106 connected in parallel, and the battery packs 106 are applied in one or more of the following forms: centralized energy storage, distributed energy storage, and mobile energy storage. The computer device 104 determines the energy storage capacity range of each battery pack 106 based on the power instruction and the preset state of charge range of each battery pack 106. The computer device 104 monitors the state of charge and current charge and discharge state of each battery pack 106 in real time and determines at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command. Furthermore, the computer device 104 generates a first control command or a second control command for the target battery pack based on the current charge and discharge state, the state of charge, the power command, and the energy storage capacity range, and transmits the first control command or the second control command to the energy storage system 102. The first control command and the second control command are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

[0059] In an exemplary embodiment, Figure 2 As shown in the figure, a generalized distributed energy storage control method is provided, which is applied to Figure 1The computer device 104 in the example is used as an example to illustrate the method, which includes the following steps S202 to S206.

[0060] Step S202: Obtain a power instruction for the energy storage system.

[0061] Energy storage systems, in particular, can refer to systems that store electrical energy through specific technologies and equipment and release it for use when needed. Energy storage systems play an important role in power dispatch, load balancing, and the utilization of renewable energy.

[0062] The energy storage system consists of multiple battery packs connected in parallel, and the battery packs are applied in one or more of the following forms: centralized energy storage, distributed energy storage, and mobile energy storage. A battery pack can refer to a collection of multiple battery cells used to store electrical energy. Battery packs can use different types of battery technologies, such as lithium-ion batteries, lead-acid batteries, sodium-sulfur batteries, etc. Centralized energy storage uses multiple battery cells connected in parallel to output power, and each battery pack has the ability to be independently controlled. Distributed energy storage is deployed on the user side or near the load center, and is usually used in conjunction with user-side power generation equipment (such as solar photovoltaics). Mobile energy storage uses a BMS-PMS (Battery Management System-Power Management System) integrated topology, and each battery cell has the ability to be independently controlled.

[0063] Among them, the power instruction can be an instruction for controlling the charging and discharging output of each battery pack of the energy storage system. The power instruction includes the preset total output of the energy storage system and the preset output of each battery pack. The output value is set according to the actual output demand of the energy storage system.

[0064] Optionally, the computer device obtains a power instruction set for the energy storage system, where the power instruction includes a preset total output of the energy storage system and a preset output of each battery pack.

[0065] Step S204 : determining the energy storage capacity range of each battery pack according to the power command and the preset state of charge range of each battery pack.

[0066] The preset state of charge range may be a range consisting of an upper limit and a lower limit of the loadable state of charge set according to the actual performance of the battery pack. The state of charge (SOC) refers to the ratio of the current charge of the battery pack to its rated capacity. SOC is usually expressed as a percentage, with 100% indicating a fully charged battery and 0% indicating a depleted battery. SOC is an important parameter for evaluating the remaining energy, charge, and discharge status of a battery.

[0067] The energy storage capacity range refers to the maximum amount of energy that a battery pack can handle, depending on the specific battery type, specifications, and application scenario. Common energy storage battery types include lithium-ion batteries, lead-acid batteries, and sodium-sulfur batteries. The capacity of different battery types can range from a few kilowatt-hours (kWh) to tens of megawatt-hours (MWh).

[0068] Optionally, the computer device uses a preset calculation formula according to the preset output included in the power instruction and the preset state of charge range of each battery pack to calculate the energy storage capacity range of each battery pack.

[0069] Step S206 , monitoring the state of charge and current charge and discharge state of each battery pack in real time, and determining at least one target battery pack according to the state of charge, current charge and discharge state, and power command.

[0070] Among them, the charge and discharge state includes any battery pack currently in a charging state or a discharging state. It should be noted that the battery pack is in a charging state or a discharging state and performs a monotonic charging operation or a monotonic discharging operation. Before being controlled to switch states, the original charge and discharge state is maintained.

[0071] Among them, the target battery group can be a battery group that needs to be controlled. For example, if the power instruction indicates that the discharge power or charging power needs to be increased based on the current operation of the energy storage system, the battery group that can increase the discharge power or charging power of the energy storage system after being controlled is screened out from all battery groups.

[0072] Optionally, the computer device detects the state of charge and current charge and discharge state corresponding to each battery pack in real time, and determines at least one target battery pack from all battery packs based on the state of charge and current charge and discharge state of each battery pack.

[0073] It should be noted that when the energy storage system is initialized, the initial state of charge of half of all battery packs will be configured as the upper limit of the preset charge range, and the initial charge and discharge state will be configured as the discharge state, while the initial state of charge of the remaining half of the battery packs will be configured as the lower limit of the preset charge range, and the initial charge and discharge state will be configured as the charge state.

[0074] Step S208 : generating a first control instruction or a second control instruction for the target battery pack according to the current charge and discharge state, state of charge, power instruction, and energy storage capacity range, and sending the first control instruction or the second control instruction to the energy storage system.

[0075] The first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively. The monotonic charging operation may be a state in which the battery pack is only in a charging state within a certain period of time, whereas the monotonic discharging operation may be a state in which the battery pack is only in a discharging state within a certain period of time.

[0076] Optionally, the computer device determines a charge and discharge strategy for the target battery pack based on the current charge and discharge state of the target battery pack, the state of charge of the target battery pack, the power instruction, and the energy storage capacity range, and generates a first control instruction or a second control instruction based on the charge and discharge strategy of the target battery pack. The computer device sends the first control instruction or the second control instruction to the energy storage system, and the energy storage system controls the charge and discharge state of the target battery pack based on the first control instruction or the second control instruction, switching the target battery pack from a discharge state to a charge state or vice versa.

[0077] In the above-mentioned generalized distributed energy storage control method, by obtaining a power instruction for the energy storage system; wherein the energy storage system is composed of multiple battery packs connected in parallel, and the application form of the battery pack is one or more of centralized energy storage, distributed energy storage and mobile energy storage, the application scenarios of the energy storage system are expanded. According to the power instruction and the preset state of charge range of each battery pack, the energy storage capacity range of each battery pack is determined, and the energy storage performance of each battery pack is understood. The state of charge and current charge and discharge state corresponding to each battery pack are monitored in real time, and at least one target battery pack is determined based on the state of charge, current charge and discharge state and power instruction. Furthermore, according to the current charge and discharge state, state of charge, power instruction and energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system. The first control instruction and the second control instruction are used to control the target battery pack to perform monotonic charging operation and monotonic discharging operation, respectively. By adapting the battery pack to multiple application scenarios and determining the target battery pack from all battery packs based on the actual control requirements of the power command for the energy storage system, the monotonic charge and discharge operation control of the target battery pack is performed according to the charge state and current charge and discharge state of each target battery pack. While providing the control versatility of the energy storage system, according to the actual power command control requirements, the target battery pack is controlled to switch the charge and discharge state on demand, reducing the number of charge and discharge state switching of each battery pack, thereby extending the life of the energy storage system.

[0078] In an exemplary embodiment, determining at least one target battery pack according to the state of charge, the current charge and discharge state, and the power command in step S206 includes:

[0079] Arrange the state of charge of each battery pack in ascending or descending order to obtain a battery pack arrangement result; when the power instruction is a charging instruction for the energy storage system, determine at least one target battery pack from the battery packs whose current charge and discharge state is a discharging state based on the power instruction and the battery pack arrangement result; when the power instruction is a discharging instruction for the energy storage system, determine at least one target battery pack from the battery packs whose current charge and discharge state is a charging state based on the power instruction and the battery pack arrangement result.

[0080] Among them, the battery group arrangement result can be determined in ascending or descending order according to the power instruction. When the power instruction requires the energy storage system to discharge, the charge state is arranged in descending order. When the power instruction requires the energy storage system to charge, the charge state is arranged in ascending order.

[0081] Optionally, the computer device arranges the state of charge of each battery pack in ascending or descending order to obtain a battery pack arrangement result. If the power instruction is a charging instruction for the energy storage system, the computer device determines the target number of battery packs that need to be monotonically charged based on the preset output value of the energy storage system and the preset output value of each battery pack included in the power instruction. Based on the battery pack arrangement result, the computer device selects the battery pack with the minimum state of charge, the battery pack with the second minimum state of charge, etc. from the battery packs whose current charge and discharge state is the discharging state as at least one target battery pack. Similarly, if the power instruction is a discharging instruction for the energy storage system, the computer device determines the target number of battery packs that need to be monotonically discharged based on the preset output value of the energy storage system and the preset output value of each battery pack included in the power instruction. Based on the battery pack arrangement result, the computer device selects the battery pack with the maximum state of charge, the battery pack with the second maximum state of charge, etc. from the battery packs whose current charge and discharge state is the charging state as at least one target battery pack.

[0082] In this embodiment, based on the current charge and discharge state, charge state and output requirements of the power command of each battery pack, the target battery pack that is most suitable for the charge and discharge task of the power command is determined from all the battery packs to switch the charge and discharge state to meet the power command requirements. There is no need to switch the charge and discharge state of all the battery packs to meet the charge and discharge output requirements of the energy storage system, thereby reducing the number of charge and discharge state switching times of the battery pack and extending the life of the battery pack.

[0083] In this embodiment, when the computer device is initialized, the initial state of charge of the first battery pack and the second battery pack is adjusted to the upper limit or lower limit of the preset state of charge range, respectively, to facilitate the subsequent control of monotonic discharge operation and monotonic charging operation of the first battery pack and the second battery pack.

[0084] In an exemplary embodiment, Figure 3As shown, step S204, based on the power instruction and the preset state of charge range of each battery pack, determines the energy storage capacity range of each battery pack, including the following steps S302 to S306.

[0085] Step S302: Determine a total rated capacity reference value of the energy storage system according to the power instruction.

[0086] The power instruction includes a preset total output value of the energy storage system and a preset output value of each battery pack.

[0087] The total rated capacity reference value may be a reference value of the rated capacity of the energy storage system, which means that the actual rated capacity of the energy storage system may deviate from the value to a certain extent, but is as close to the value as possible.

[0088] Optionally, the computer device performs integral calculation based on a preset total output value of the energy storage system included in the power instruction to determine a total rated capacity reference value of the energy storage system. The corresponding formula includes:

[0089]

[0090] Where T is any time in the operation cycle of the energy storage system, E es is the total rated capacity reference value of the energy storage system, P es (t) is the preset total output value of the energy storage system.

[0091] Step S304 : determining a rated capacity reference value of each battery pack according to the number of battery packs included in the energy storage system, a preset state of charge range, and a total rated capacity reference value.

[0092] Optionally, the computer device obtains the number of battery packs included in the energy storage system, and calculates the rated capacity reference value of each battery pack based on the number of battery packs, a preset state of charge range of the battery packs, and a total rated capacity reference value. The corresponding formula includes:

[0093]

[0094] Among them, E es (n) is the rated capacity reference value of each battery pack, E es is the total rated capacity reference value, S max is the upper limit of the preset state of charge range, S min is the lower limit of the preset state of charge range, and n is the number of battery packs.

[0095] Step S306 : determining the energy storage capacity range of each battery pack according to the preset state of charge range and the rated capacity reference value.

[0096] The energy storage capacity range may be a range of energy storage capacity that the battery pack can withstand.

[0097] Optionally, the computer device determines the product of the upper limit of the preset state of charge range and the rated capacity reference value as the upper limit of the energy storage capacity range of the battery pack, and determines the product of the lower limit of the preset state of charge range and the rated capacity reference value as the lower limit of the energy storage capacity range of the battery pack. According to the upper limit of the energy storage capacity range and the lower limit of the energy storage capacity range, the energy storage capacity range of each battery pack is obtained: (E es (n) *S min , E es (n) *S max ).

[0098] In this embodiment, by determining the total rated capacity reference value and the rated capacity reference value of each battery pack, energy storage resources can be effectively allocated, ensuring that each battery pack operates at its optimal operating conditions, thereby improving the overall energy efficiency of the system. In addition, by monitoring and adjusting the operating status of each battery pack to ensure that it is within a preset state of charge range, damage to the battery pack caused by overcharging and discharging can be reduced, thereby extending the battery pack's service life.

[0099] In an exemplary embodiment, step S208 generates a first control instruction or a second control instruction for a target battery pack based on the current charge and discharge state, state of charge, power instruction, and energy storage capacity range, and sends the first control instruction or the second control instruction to the energy storage system, including:

[0100] Determine the energy storage state of the target battery pack based on the state of charge and the rated capacity reference value; determine the output value and monotonic charge and discharge time period of the target battery pack based on the current charge and discharge state, energy storage state, power instruction and energy storage capacity range of the target battery pack; generate the first control instruction or the second control instruction based on the output value and monotonic charge and discharge time period of the target battery pack.

[0101] The energy storage state may be the amount of electricity stored in the target battery pack.

[0102] The monotonic charge and discharge time period may be a duration period during which the target battery pack performs a monotonic charge operation or a monotonic discharge operation.

[0103] Optionally, the computer device determines the energy storage state of the target battery pack based on the product of the state of charge of the target battery pack and the rated capacity reference value, and calculates the monotonic charge and discharge time period of the target battery pack based on the charge and discharge state, energy storage energy state and energy storage capacity range of the target battery pack, further obtains the preset output value of each battery pack included in the power instruction, and generates a first control instruction or a second control instruction based on the monotonic charge and discharge time period and output value of the target battery pack.

[0104] It should be understood that the calculation logic of the monotonic charge and discharge time period is determined according to the monotonic charge and discharge control model, wherein the monotonic charge control model includes: ; ; .

[0105] Among them, the monotonic discharge control model includes: ; ; .

[0106] Among them, S is the energy state of energy storage, S max and S min are the upper and lower limits of the preset state of charge range, dS(t) / dt represents the derivative of S(t); i,st and t i,ed They represent the start time and end time of the i-th charge and discharge cycle respectively.

[0107] In this embodiment, by real-time monitoring of the state of charge and stored energy state of the target battery pack, the battery charging and discharging process can be more accurately managed, thereby improving energy efficiency and reducing energy waste. A reasonable charging and discharging strategy helps prevent overcharging or over-discharging of the battery, slowing down battery aging and thus extending its service life, keeping the battery operating within its optimal operating range and minimizing damage to the battery.

[0108] In an exemplary embodiment, the steps described in the above embodiment determine the output value and monotonic charge and discharge time period of the target battery pack based on the charge and discharge state, energy storage energy state, power instruction, and energy storage capacity range of the target battery pack, including:

[0109] When the current charge and discharge state of the target battery pack is the charging state, the output value and monotonic discharge time period of the target battery pack are determined according to the energy storage energy state, power instruction and the upper limit of the energy storage capacity range; when the current charge and discharge state of the target battery pack is the discharging state, the output value and monotonic charging time period of the target battery pack are determined according to the energy storage energy state, power instruction and the lower limit of the energy storage capacity range.

[0110] Optionally, when the current charge / discharge state of the target battery pack is a charging state, the computer device determines the output value of the target battery pack based on the power command. The monotonic charging time period of the target battery pack is obtained by dividing the difference between the upper limit of the energy storage capacity range and the energy storage energy state by the output value of the target battery pack. Similarly, when the current charge / discharge state of the target battery pack is a discharging state, the computer device determines the output value of the target battery pack based on the power command. The monotonic discharging time period of the target battery pack is obtained by dividing the difference between the energy storage energy state and the lower limit of the energy storage capacity range by the output value of the target battery pack.

[0111] It should be noted that if Figure 4 As shown, a schematic diagram of the state of charge changes of the first and second battery groups during the operation of the monotonic charge and discharge strategy is provided, wherein the current charge and discharge states of the first and third battery groups are in the charging state, and the current charge and discharge states of the second and fourth battery groups are in the charging state. It can be seen that the first and second battery groups are first determined as target battery groups, and their charge and discharge states are switched to opposite states respectively. Subsequently, when the demand for power instructions increases, the third and fourth battery groups are added as target battery groups, and the charge and discharge states are switched. In theory, when the energy storage energy state of each battery group reaches the upper or lower limit of the energy storage capacity state range, the monotonic charge and discharge time period is calculated to be zero. Then, the computer device will control the first or second battery group to switch the charge and discharge state, thereby cyclically performing the monotonic charge and discharge operation. In actual operation, the energy storage energy state of the battery group does not need to be restricted to reaching the upper or lower limit of the energy storage capacity state range before the charge and discharge state is switched. It can be switched according to the actual charge and discharge demand, only ensuring that the energy storage energy state of the battery group remains within the energy storage capacity state range. The switching control logic of the charge and discharge state is:

[0112]

[0113]

[0114] Among them, the definition {U + ,U -} is the monotonic charge / discharge mode symbol of battery k, S k =U + and S k =U - Indicates that the battery pack switches to discharge / charge mode, S + Indicates the battery pack with the highest energy storage state among all the battery packs in the charging state, S - Indicates the battery pack with the lowest energy storage state among all the battery packs in the discharge state, (S min , S max ) is the preset state of charge range, E es,2n It is the reference value of rated capacity.

[0115] In this embodiment, by precisely calculating the charge and discharge time periods, the system ensures that the battery pack operates in optimal conditions, avoiding unnecessary energy loss. The computer device dynamically adjusts the charge and discharge strategy based on real-time power commands and the battery's stored energy state. When the battery pack reaches the upper or lower limit of its energy storage capacity, the system automatically switches the charge and discharge state, ensuring that the battery pack remains within its optimal operating range. This allows the battery pack to perform monotonous charge and discharge operations within its energy storage capacity range, maximizing the charge and discharge cycle, thereby reducing the number of charge and discharge state switches and extending the battery pack's lifespan.

[0116] In an exemplary embodiment, the generalized distributed energy storage control method described in the above embodiment further includes:

[0117] The actual total capacity of the energy storage system is determined based on the total rated capacity reference value, the preset state of charge range, and the number of all battery packs. The corresponding formula includes:

[0118]

[0119] Among them, C(n) represents the actual total capacity of the energy storage system, E es Characterizes the total rated capacity reference value, S max Characterizes the upper limit of the preset state of charge range, S min represents the lower limit of the preset state of charge range, 2n represents the total number of battery packs, and n represents the total number of battery packs in a charging state or the total number of battery packs in a discharging state.

[0120] Alternatively, according to the above formula, the relationship between C(n) and n is inversely proportional. Therefore, the more battery packs are connected in parallel in the energy storage system, the smaller the total capacity of the energy storage system. Figure 5 As shown, a schematic diagram of the changing relationship between energy storage capacity and the number of parallel battery groups is provided.

[0121] In this embodiment, the actual total capacity of the energy storage system is calculated, and it is found that the actual total capacity of the energy storage system is inversely proportional to the number of battery groups connected in parallel. The more battery groups connected in parallel, the smaller the actual total capacity. This can reduce the cost of building and maintaining the energy storage system, support distributed power supply, and enhance the autonomy of the energy storage system.

[0122] In an exemplary embodiment, a novel control method for improving the utility and operating life of generalized distributed energy storage capacity is provided, including:

[0123] Based on the operation strategy of energy storage in different application scenarios, its power command can be obtained. The energy storage discharge is denoted as the positive direction. When P(t)>0, the energy storage is discharged, and when P(t)<0, the energy storage is charged. The energy storage system needs to track the charge and discharge power during operation, so its accumulated energy is a finite value. In order to reduce the life loss caused by frequent charge and discharge switching of energy storage during operation, a control strategy that meets monotonic charge and discharge operation is proposed. The energy storage needs to meet the energy constraints during operation: , where S is the energy storage state of the energy storage system, S max and S min The maximum and minimum energy state boundaries E are respectively allowed for the energy storage state of charge es It is the reference value of total rated capacity.

[0124] Assume that the energy storage system is a parallel structure composed of 2n groups of batteries, where n=1,2,3,..., and the energy state of the first to n groups of batteries at the initial moment is S min , the initial energy state (initial state of charge) of the n+1~2n group of batteries is S max , that is:

[0125]

[0126] Where, and are all n-dimensional column vectors, where , .

[0127] Furthermore, the monotonic charge and discharge operation control model of the 2n battery parallel structure is obtained as follows:

[0128]

[0129]

[0130] Where, Indicates that 2n groups of batteries are i,st The monotonic charge and discharge state from time period t to time period t; F[] is a composite function, P(t) represents the output of 2n battery groups at time t, which is determined by the total energy storage power at that time, the monotonic charge and discharge mode and energy state of each battery group.

[0131] When n=1, E with monotonic charge / discharge strategy es (n)→∞, that is, there is no monotonic charge / discharge strategy for the two batteries.

[0132] When n>1, the rated capacity reference value of each battery pack is:

[0133]

[0134] Assume that C(n) represents the total capacity of a parallel structure of 2n battery groups (the actual total capacity of the energy storage system), and each battery group has an optimal capacity. The inventors' experiments have shown that C(n) decreases as n decreases. Therefore, when the parallel structure stores more energy during application, the total capacity of the parallel structure energy storage system decreases.

[0135] This embodiment proposes a novel control method for improving the capacity utility of generalized energy storage (centralized, distributed, and modular) by considering the operational mechanisms of energy storage. This method can simultaneously reduce both the capacity and operational lifespan losses of energy storage systems. This control method is versatile across energy storage applications and, through appropriate adjustments to the control structure, can be applied to centralized, distributed, and mobile energy storage. This control method is also versatile and applicable to a variety of application scenarios, including energy time shifting, load tracking, power system frequency regulation, renewable energy fluctuation smoothing, and regional power system (microgrid) energy balancing.

[0136] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0137] Based on the same inventive concept, embodiments of the present application also provide a generalized distributed energy storage control device for implementing the generalized distributed energy storage control method described above. The solution provided by this device is similar to the solution described in the method described above. Therefore, the specific limitations of one or more generalized distributed energy storage control device embodiments provided below can be found in the limitations of the generalized distributed energy storage control method described above and will not be repeated here.

[0138] In an exemplary embodiment, Figure 6 As shown, a generalized distributed energy storage control device 600 is provided, comprising: an instruction acquisition module 602, a capacity determination module 604, a battery monitoring module 606 and an instruction control module 608, wherein:

[0139] The instruction acquisition module 602 is used to obtain power instructions for the energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery pack application form is one or more of centralized energy storage, distributed energy storage and mobile energy storage.

[0140] The capacity determination module 604 is configured to determine the energy storage capacity range of each battery pack according to the power instruction and the preset state of charge range of each battery pack.

[0141] The battery monitoring module 606 is used to monitor the state of charge and current charge and discharge state of each battery pack in real time, and determine at least one target battery pack according to the state of charge, current charge and discharge state and power command.

[0142] The command control module 608 is used to generate a first control command or a second control command for the target battery pack based on the current charge and discharge state, state of charge, power command, and energy storage capacity range, and send the first control command or the second control command to the energy storage system; the first control command and the second control command are used to control the target battery pack to perform monotonic charging operation and monotonic discharging operation, respectively.

[0143] Furthermore, in one embodiment, the battery monitoring module 606 is further configured to arrange the state of charge of each battery pack in ascending or descending order to obtain a battery pack arrangement result; when the power instruction is a charging instruction for the energy storage system, at least one target battery pack is determined from the battery packs whose current charge and discharge state is a discharging state based on the power instruction and the battery pack arrangement result; when the power instruction is a discharging instruction for the energy storage system, at least one target battery pack is determined from the battery packs whose current charge and discharge state is a charging state based on the power instruction and the battery pack arrangement result.

[0144] Furthermore, in one embodiment, the capacity determination module 604 is further configured to determine a total rated capacity reference value of the energy storage system based on a power instruction; the power instruction includes a preset total output value of the energy storage system and a preset output value of each battery pack; determine a rated capacity reference value of each battery pack based on the number of battery packs included in the energy storage system, a preset state of charge range, and a total rated capacity reference value; and determine an energy storage capacity range of each battery pack based on the preset state of charge range and the rated capacity reference value.

[0145] Furthermore, in one embodiment, the instruction control module 608 is also used to determine the energy storage energy state of the target battery pack based on the state of charge and the rated capacity reference value; determine the output value and monotonic charge and discharge time period of the target battery pack based on the current charge and discharge state energy storage energy state, power instruction and energy storage capacity range of the target battery pack; and generate the first control instruction or the second control instruction based on the output value and monotonic charge and discharge time period of the target battery pack.

[0146] Furthermore, in one embodiment, the instruction control module 608 is also used to determine the output value and monotonic discharge time period of the target battery group based on the energy storage energy state, power instruction and the upper limit of the energy storage capacity range when the current charge and discharge state of the target battery group is the charging state; and to determine the output value and monotonic charging time period of the target battery group based on the energy storage energy state, power instruction and the lower limit of the energy storage capacity range when the current charge and discharge state of the target battery group is the discharging state.

[0147] Furthermore, in one embodiment, the capacity determination module 604 is further configured to determine the actual total capacity of the energy storage system based on the total rated capacity reference value, the preset state of charge range, and the number of all battery packs. The corresponding formula includes:

[0148]

[0149] Among them, C(n) represents the actual total capacity of the energy storage system, E es Characterizes the total rated capacity reference value, S max Characterizes the upper limit of the preset state of charge range, S min represents the lower limit of the preset state of charge range, 2n represents the total amount of the first battery group and the second battery group, and nn represents the total amount of battery groups in a charging state or the total amount of battery groups in a discharging state.

[0150] Each module in the generalized distributed energy storage control device 600 can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0151] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data such as the charge state, energy storage energy state and output value of the battery pack of the energy storage system. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a generalized distributed energy storage control method is implemented.

[0152] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0153] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0154] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0155] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0156] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0157] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0158] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A generalized distributed energy storage control method, characterized in that: The method comprises: Obtaining a power instruction for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage; Determine a total rated capacity reference value of the energy storage system based on the power instruction; the power instruction includes a preset total output value of the energy storage system and a preset output value of each battery pack; determine a rated capacity reference value of each battery pack based on the number of battery packs included in the energy storage system, a preset state of charge range, and the total rated capacity reference value; determine an energy storage capacity range of each battery pack based on the preset state of charge range and the rated capacity reference value; determine an actual total capacity of the energy storage system based on the total rated capacity reference value, the preset state of charge range, and the number of all battery packs, and the corresponding formula includes: Wherein, C(n) represents the actual total capacity of the energy storage system, E es Characterizes the total rated capacity reference value, S max Characterizes the upper limit of the preset state of charge range, S min represents the lower limit of the preset state of charge range, 2n represents the total amount of the battery packs, and n represents the total amount of battery packs in a charging state or the total amount of battery packs in a discharging state; monitoring the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determining at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command; Based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction is generated for the target battery pack, and the first control instruction or the second control instruction is sent to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform a monotonic charging operation and a monotonic discharging operation, respectively.

2. The method according to claim 1, characterized in that The determining of at least one target battery pack according to the state of charge, the current charge and discharge state, and the power instruction includes: Arrange the state of charge of each battery pack in ascending or descending order to obtain a battery pack arrangement result; In a case where the power instruction is a charging instruction for the energy storage system, determining at least one target battery group from the battery groups whose current charge and discharge state is a discharge state according to the power instruction and the battery group arrangement result; In the case where the power instruction is a discharge instruction for the energy storage system, at least one target battery pack is determined from the battery packs whose current charge and discharge state is a charging state according to the power instruction and the battery pack arrangement result.

3. The method according to claim 1, characterized in that The generating, according to the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, a first control instruction or a second control instruction for the target battery pack, and sending the first control instruction or the second control instruction to the energy storage system, includes: Determining a stored energy state of the target battery pack according to the state of charge and the rated capacity reference value; Determining an output value and a monotonic charge and discharge time period of the target battery pack according to the current charge and discharge state of the target battery pack, the energy storage energy state, the power instruction, and the energy storage capacity range; A first control instruction or a second control instruction is generated according to the output value of the target battery group and the monotonic charge and discharge time period.

4. The method according to claim 3, characterized in that The determining the output value and the monotonic charge and discharge time period of the target battery group according to the charge and discharge state of the target battery group, the energy storage energy state, the power instruction, and the energy storage capacity range includes: When the current charge and discharge state of the target battery pack is a charging state, determining an output value and a monotonic discharge time period of the target battery pack according to the energy storage energy state, the power instruction, and an upper limit of the energy storage capacity range; When the current charge and discharge state of the target battery pack is a discharge state, the output value and monotonic charging time period of the target battery pack are determined according to the energy storage energy state, the power instruction and the lower limit of the energy storage capacity range.

5. A generalized distributed energy storage control device, characterized in that: The device comprises: An instruction acquisition module is used to obtain power instructions for an energy storage system; the energy storage system is composed of multiple battery packs connected in parallel, and the battery packs are applied in one or more of centralized energy storage, distributed energy storage, and mobile energy storage; A capacity determination module is configured to determine a total rated capacity reference value of the energy storage system based on the power instruction; the power instruction includes a preset total output value of the energy storage system and a preset output value of each battery pack; determine a rated capacity reference value of each battery pack based on the number of battery packs included in the energy storage system, a preset state of charge range, and the total rated capacity reference value; determine an energy storage capacity range of each battery pack based on the preset state of charge range and the rated capacity reference value; and determine an actual total capacity of the energy storage system based on the total rated capacity reference value, the preset state of charge range, and the number of all battery packs. The corresponding formula includes: Wherein, C(n) represents the actual total capacity of the energy storage system, E es Characterizes the total rated capacity reference value, S max Characterizes the upper limit of the preset state of charge range, S min represents the lower limit of the preset state of charge range, 2n represents the total amount of the battery packs, and n represents the total amount of battery packs in a charging state or the total amount of battery packs in a discharging state; a battery monitoring module, configured to monitor the state of charge and current charge and discharge state corresponding to each of the battery packs in real time, and determine at least one target battery pack based on the state of charge, the current charge and discharge state, and the power command; An instruction control module is used to generate a first control instruction or a second control instruction for the target battery pack based on the current charge and discharge state, the state of charge, the power instruction, and the energy storage capacity range, and send the first control instruction or the second control instruction to the energy storage system; the first control instruction and the second control instruction are used to control the target battery pack to perform monotonic charging operation and monotonic discharging operation, respectively.

6. The device according to claim 5, characterized in that The battery monitoring module is further used to arrange the state of charge of each battery group in ascending or descending order to obtain a battery group arrangement result; when the power instruction is a charging instruction for the energy storage system, at least one target battery group is determined from the battery groups whose current charge and discharge state is a discharging state based on the power instruction and the battery group arrangement result; when the power instruction is a discharge instruction for the energy storage system, at least one target battery group is determined from the battery groups whose current charge and discharge state is a charging state based on the power instruction and the battery group arrangement result.

7. The device according to claim 5, characterized in that The instruction control module is also used to determine the energy storage energy state of the target battery pack based on the state of charge and the rated capacity reference value; determine the output value and monotonic charge and discharge time period of the target battery pack based on the current charge and discharge state, the energy storage energy state, the power instruction and the energy storage capacity range of the target battery pack; and generate a first control instruction or a second control instruction based on the output value and the monotonic charge and discharge time period of the target battery pack.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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