Design method, system, device, equipment, medium and product of energy storage system

Abstract

The invention discloses a design method, system and device of an energy storage system, equipment, a medium and a product, and relates to the technical field of computers. The method comprises the following steps: obtaining size constraint data and size influence parameters of the energy storage system; the size constraint data and the size influence parameters are analyzed through a size generation model, part size data corresponding to at least one part in the energy storage system are obtained, and the size generation model is a mathematical model obtained through training; and based on the component size data, obtaining an array arrangement relation of at least one component in the energy storage system, and taking the array arrangement relation as a design result in the energy storage system. Through the mode, at least one component conforming to the component size data can be researched and developed in a targeted manner through the size generation model, and the component research and development efficiency and accuracy are improved; and the internal space of the energy storage system can be fully utilized, and the utilization rate and the energy storage level of the constructed energy storage system can be improved. The method can be applied to a design planning scene before construction of the energy storage system.

Description

Technical Field

[0001] Embodiments of the present application relate to the field of computer technology, and particularly to a design method, system, device, equipment, medium and product for an energy storage system. Background Art

[0002] With the development of computer technology, energy storage systems have played a huge role in multiple fields and rely on energy storage systems to provide electrical energy in various scenarios.

[0003] In related technologies, usually after battery cells are developed, the battery cells are combined to obtain battery modules, and then multiple battery modules are formed into a battery box, and further multiple battery boxes are formed into a battery cluster, and an energy storage system is constructed based on the battery cluster.

[0004] In the above system construction process, it strongly depends on the development results of battery cells. If the battery cells have not been developed yet, it is impossible to efficiently construct an energy storage system based on the above construction process, and the development progress among the development departments of each system component will be affected; even if existing battery cells are used for system construction, the size of the battery cells used also restricts the amount of electricity that the energy storage system can accommodate, and it is difficult to make full use of the system space of the energy storage system under the preset system size to achieve an equilibrium effect between electricity storage and distribution within the system space. Summary of the Invention

[0005] Embodiments of the present application provide a design method, system, device, equipment, medium and product for an energy storage system, which is convenient for developing at least one component that meets the component size data through a size generation model, improving the component R & D efficiency and accuracy; and also helps to make full use of the internal space of the energy storage system, improving the utilization rate and energy storage level of the constructed energy storage system. The technical solutions are as follows.

[0006] On the one hand, a design method for an energy storage system is provided, and the method includes: Obtain the size constraint data and size influence parameters of the energy storage system, where the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the size dimension, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system; Analyze the size constraint data and the size influence parameters through a size generation model to obtain the component size data corresponding to at least one component in the energy storage system, where the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influence parameter and the size data of at least one component during the training process; Based on the component size data of the at least one component, obtain the array arrangement relationship of the at least one component in the energy storage system as the design result of the energy storage system.

[0007] On the other hand, an energy storage system is provided, and the system includes: At least one component, the array arrangement relationship of the at least one component in the energy storage system is determined based on the component size data of the at least one component, and the component size data corresponding to the at least one component is data determined by analyzing size constraint data and size influence parameters through a size generation model; Wherein, the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influence parameters and the size data of at least one component during the training process; the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the size dimension, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system.

[0008] On the other hand, a design device for an energy storage system is provided, and the device includes: An acquisition module, configured to acquire the size constraint data and size influence parameters of the energy storage system, where the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the size dimension, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system; An analysis module, configured to analyze the size constraint data and the size influence parameters through a size generation model to obtain the component size data corresponding to at least one component in the energy storage system, where the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influence parameters and the size data of at least one component during the training process; A design module, configured to obtain the array arrangement relationship of the at least one component in the energy storage system based on the component size data of the at least one component as the design result of the energy storage system.

[0009] On the other hand, a computer device is provided, and the computer device includes a processor and a memory. At least one instruction, at least one program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the design method of the energy storage system as described in any one of the embodiments of the present application. This computer device can be a terminal or a server.

[0010] On the other hand, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a code set or an instruction set is stored, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the design method of the energy storage system as described in any one of the embodiments of the present application above.

[0011] On the other hand, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the design method of the energy storage system as described in any one of the above embodiments.

[0012] The beneficial effects brought by the technical solutions provided by the embodiments of the present application at least include: Before constructing the energy storage system, by means of the dimension generation model, comprehensively analyze the dimension constraint data that constrains the array arrangement of components from the dimension dimension and the dimension influence parameters that affect the spatial layout in the energy storage system, so as to obtain the component dimension data corresponding to at least one component in the energy storage system. Furthermore, under the constraint of the component dimension data, obtain the array arrangement relationship of at least one component in the energy storage system, realizing the purpose of overall analysis of the arrangement relationship of internal components in the system before constructing the energy storage system, facilitating the targeted research and development of components that meet the component dimension data through the dimension generation model, improving the component research and development efficiency and accuracy; it also helps to make more full use of the internal space of the energy storage system through the design results obtained from the array arrangement analysis, thereby helping to improve the utilization rate of the constructed energy storage system, and further helping to expand the application scenarios of the energy storage system and improve the energy storage level. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a structural block diagram of a design system provided by an exemplary embodiment of the present application; Figure 2 is a flowchart of a design method of an energy storage system provided by an exemplary embodiment of the present application; Figure 3 is a flowchart of a design method of an energy storage system provided by another exemplary embodiment of the present application; Figure 4 is a flowchart of a design method of an energy storage system provided by still another exemplary embodiment of the present application; Figure 5 is a flowchart of a design method of an energy storage system provided by yet another exemplary embodiment of the present application; Figure 6 is a design diagram of an energy storage system composed of short battery boxes provided by an exemplary embodiment of the present application; Figure 7It is the design diagram of an energy storage system composed of a long battery box provided by an exemplary embodiment of the present application; Figure 8 It is the design diagram of an energy storage system provided by an exemplary embodiment of the present application; Figure 9 It is the design diagram of an energy storage system provided by another exemplary embodiment of the present application; Figure 10 It is the design diagram of an energy storage system provided by still another exemplary embodiment of the present application; Figure 11 It is the design diagram of an energy storage system provided by yet another exemplary embodiment of the present application; Figure 12 It is the schematic diagram of the design device of an energy storage system provided by an exemplary embodiment of the present application; Figure 13 It is the schematic diagram of the design device of an energy storage system provided by another exemplary embodiment of the present application; Figure 14 It is the structural block diagram of a server provided by an exemplary embodiment of the present application. Detailed implementation manners

[0014] To make the objectives, technical solutions, and advantages of the present application clearer, the following will further describe the embodiments of the present application in detail with reference to the accompanying drawings.

[0015] First, a brief introduction to the terms involved in the embodiments of the present application is given.

[0016] Energy Storage System (ESS): An energy storage system is a system used to store and release electrical energy, usually including batteries, control systems, inverters, and other related components. The energy storage system can store electricity, balance power supply and demand, provide backup power, and support the stability of the power grid.

[0017] Battery Management System (BMS): It is the core component responsible for management in the energy storage system, and can manage the charging and discharging processes, temperature, capacity and other states of the battery box or battery module to ensure that the energy storage system operates in a safe and efficient state. The battery management system is usually divided into a multi-layer architecture. Taking large-scale energy storage (an energy storage system that stores a large amount of electrical energy and supports the operation of the power grid) as an example, the third-level Battery Management Unit (BMU) is inside the battery box, the second-level BMS is in the cabinet, and the first-level Battery Aggregator (BA) is usually placed in the busbar cabinet.

[0018] In the related art, it is difficult to make full use of the system space of the energy storage system under the preset system size to achieve the balanced effect of power storage and distribution within the system space. The design method of the energy storage system introduced in the embodiments of the present application can be applied to multiple application scenarios such as the field of energy storage system development, technology research and development, home energy management, commercial energy storage, industrial energy storage, power regulation, transportation, infrastructure, etc., which are not limited herein. It should be noted that the information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals involved in the present 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 laws, regulations and standards of the relevant regions.

[0019] Secondly, the design system involved in the embodiments of the present application will be described. The design method of the energy storage system provided in the embodiments of the present application can be implemented by the terminal alone, or by the server, or by the interaction between the terminal and the server through data, which is not limited in the embodiments of the present application. Optionally, the design method of the energy storage system executed by the interaction between the terminal and the server will be described as an example.

[0020] Schematically, please refer to Figure 1 , in this implementation environment, the terminal 110 and the server 120 are involved, and the terminal 110 and the server 120 are connected through the communication network 130.

[0021] In some embodiments, the terminal 110 is installed with a system design application program. When the system design application program is running, a parameter control table is displayed. The parameter control table includes multiple control parameters, and each control parameter corresponds to a numerical filling column. By filling in a value in the numerical filling column, the parameter value corresponding to the control parameter can be adjusted. Optionally, during the process of displaying the parameter control table, the terminal 110 receives a numerical filling operation for the size constraint data and the size influence parameters to obtain the size constraint data and the size influence parameters of the energy storage system to be constructed. Among them, the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimension of size, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system.

[0022] In some embodiments, the terminal 110 designs the energy storage system on its own based on the size constraint data and the size influence parameters; alternatively, the terminal 110 sends the size constraint data and the size influence parameters to the server 120 through the communication network 130, and the server 120 analyzes the size constraint data and the size influence parameters. Optionally, when the terminal 110 analyzes on its own, at least a size generation model is deployed on the terminal 110; when analyzed by the server 120, at least a size generation model is deployed on the server 120. Taking the server 120 analyzing the size constraint data and the size influence parameters as an example, the size constraint data and the size influence parameters are analyzed through the size generation model deployed on the server 120 to obtain the component size data corresponding to at least one component in the energy storage system. Among them, the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influence parameters and the at least one component size data during the training process.

[0023] Illustratively, at least one component is a system component when constructing the energy storage system. For example: at least one component is the basic component - battery cell that makes up the energy storage system, or at least one component is the battery module in the energy storage system, or at least one component is the battery box in the energy storage system, etc.; or, at least one component includes the battery cell and the battery module, or at least one component includes the battery cell and the battery box, etc.

[0024] The component size data is the data describing the size of the component. For example: the component size data describes information such as the length, width, and height of the component. Taking the component as a battery cell as an example, the component size data of the component is used to characterize the size information such as the length, width, and height of the battery cell. Illustratively, the size generation model is trained before designing the currently required energy storage system. The size generation model can, based on the association relationship between the previously learned size constraint data, the size influence parameters and the at least one component size data, predict the sizes corresponding to at least one component in the energy storage system based on the currently analyzed size constraint data and the size influence parameters, that is, predict at least one component size data.

[0025] In some embodiments, the server 120 obtains the array arrangement relationship of at least one component in the energy storage system based on the component size data of at least one component as the design result of the energy storage system.

[0026] Schematically, after the server 120 predicts the component size data of at least one component, it can construct a predicted energy storage system for the component that conforms to the component size data. The prediction process is to analyze the array arrangement relationship of multiple components in the energy storage system. For example, deploy a component 1 in area a of the energy storage system, and deploy another component 1 in area b above area a, etc.; use the array arrangement relationship of at least one component as the design result of the energy storage system. With the design result obtained by the size generation model, it is possible to predict the size of the system components in the energy storage system in advance before constructing the energy storage system, which helps to make full use of the space in the energy storage system under the constraint conditions provided by the size constraint data, and specifically predict the component size data of the components to be designed, thereby helping to improve the construction efficiency when constructing the energy storage system subsequently.

[0027] In some embodiments, after the server 120 predicts the design result, it sends the design result to the terminal 110 through the communication network 130; based on the array arrangement relationship of the components represented by the design result, the terminal 110 renders and displays a schematic diagram of the predicted energy storage system that conforms to the size constraint data and the size influence parameters in the interface corresponding to the system design application, so as to facilitate the system designer to understand the primary architecture design of the energy storage system. It should be noted that the above terminals include, but are not limited to, mobile terminals such as mobile phones, tablet computers, portable laptop computers, intelligent voice interaction devices, intelligent home appliances, vehicle-mounted terminals, etc., and can also be implemented as desktop computers, etc.; the above servers can be independent physical servers, can also be a server cluster or distributed system composed of multiple physical servers, or can also be cloud servers.

[0028] Combined with the above noun introduction and application scenarios, the design method of the energy storage system provided in this application will be described. Taking this method applied to a server as an example, as Figure 2 shown, this method includes the following steps 210 to step 230.

[0029] Step 210, obtain the size constraint data and size influence parameters of the energy storage system.

[0030] Schematically, the energy storage system is a system that needs to be constructed currently and is used to store energy. Optionally, the energy storage system is such as a lithium-ion household energy storage system, a lead-acid battery energy storage system, a supercapacitor energy storage system, etc. Optionally, taking the energy storage system encapsulated in a container as an example, the energy storage system can also be called a container energy storage system. The container energy storage system can be either a standard-size energy storage system or a non-standard-size energy storage system.

[0031] Schematically, the standard dimensions represent international standard dimensions. For example, a 20-foot container energy storage system means that the external length of the container is 6058 mm, the external width is 2438 mm, and the external height is 2591 mm (which can be abbreviated as 6058 mm * 2438 mm * 2591 mm), and the internal length of the container is 5898 mm, the internal width is 2352 mm, and the internal height is 2393 mm (which can be abbreviated as 5898 mm * 2352 mm * 2393 mm), etc., representing length * width * height. The non-standard dimensions represent preset dimensions other than the international standard dimensions, and the internal dimensions of the container are smaller than the external dimensions of the container.

[0032] Among them, the dimension constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimension aspect. Schematically, the dimension aspect is the analysis of components from the perspective of component size; in the design of the energy storage system, it is necessary to preset the dimension constraint data in advance to constrain the dimension situation during the construction of the energy storage system. Optionally, the dimension constraint data is preset data for the overall dimension of the energy storage system.

[0033] Optionally, the dimension constraint data is preset data for the component dimensions of a certain system component (abbreviated as component) in the energy storage system. The system component is a component used to compose the energy storage system. If the system component is a battery cluster, a battery box, etc., then the dimension constraint data is the dimension constraint value of the system component.

[0034] Optionally, the dimension constraint data is implemented as at least one of the above preset data. For example, the overall dimension of the energy storage system is used alone as the preset constraint data, or the overall dimension of the energy storage system and the dimension value of the preset battery cluster are used as the preset constraint data, etc., which are not limited here. Among them, the dimension influence parameter is a parameter that affects the spatial layout of the energy storage system. Schematically, during the construction of the energy storage system, in addition to considering the dimension constraint data that constrains the construction dimensions of the energy storage system, it is also necessary to consider the spatial layout situation inside the energy storage system, such as: the number of battery cells in a battery module; and / or, the cell spacing between different battery cells, etc.; therefore, it is also necessary to obtain the dimension influence parameters that have an impact on the layout.

[0035] Optionally, the dimension influence parameter is a preset parameter type; or, the dimension influence parameter is a parameter type collected for multiple constructed energy storage systems; or, the dimension influence parameter is a parameter type obtained based on the experience summarized during the past construction of energy storage systems, etc. Schematically, there is at least one parameter type of dimension influence parameter, and the richer the parameter type, the more helpful it is to construct a more detailed energy storage system.

[0036] Optionally, the size influence parameters are stored in a controlled table form, where the size influence parameters of each parameter type are stored in a table row or a table column, and each size influence parameter corresponds to a numerical filling column. At least one type of parameter combination of size influence parameters is obtained based on the numerical filling operation of the numerical filling column.

[0037] Step 220: Analyze the size constraint data and the size influence parameters through the size generation model to obtain the component size data corresponding to at least one component in the energy storage system.

[0038] Among them, the size generation model is a trained mathematical model, and the size generation model learns the correlation relationship among the size constraint data, the size influence parameters, and the size data of at least one component during the training process.

[0039] Optionally, the component size data of at least one component learned by the size generation model during the training process is usually implemented as the component size data corresponding to multiple components respectively.

[0040] Illustratively, obtain the pre-trained size generation model. Since the size generation model has learned the correlation relationship among the size constraint data, the size influence parameters, and the size data of at least one component during the training process, after knowing the size constraint data and the size influence parameters corresponding to the energy storage system to be constructed currently, the component size data corresponding to at least one component constituting the energy storage system can be deduced through the size generation model under the constraints of the size constraint data and the size influence parameters. Optionally, as a trained mathematical model, the size generation model is composed of multiple mathematical function formulas, and the multiple mathematical function formulas correspond to at least one function type, and the function type includes at least one of linear functions, non-linear functions (such as exponential functions, logarithmic functions, power functions, etc.), polynomial functions, piecewise functions, and other functions.

[0041] Illustratively, considering the restrictive effect of the size constraint data, it is restricted that the component size data corresponding to the component generated by the size generation model must not be greater than the size constraint data; in addition, since the size influence parameters may include quantitative relationships (such as a battery module includes 12 battery cells of the same size), if at least one component to be analyzed is a battery cell, then the component size data of at least one component must not only be not greater than the size constraint data but also not greater than the maximum size of the battery module, etc.

[0042] For example: The dimensional constraint data includes that the internal length of the energy storage system is 105 mm, the internal width is 80 mm, and the internal height is 50 mm. If the dimension influence parameters are as follows: 4 rows of battery boxes are arranged along the length direction of the energy storage system, 1 row of battery boxes is arranged along the width direction, and 4 rows of battery boxes are arranged along the height direction, and the spacing between multiple battery boxes in each direction is 5 mm, and the sizes of multiple battery boxes are the same. Then there are at most 16 battery boxes. The length of each battery box (corresponding to the length of the energy storage system) is not greater than 20 mm = (105 mm - 5 mm × 5) / 4; the width of the battery box (corresponding to the width of the energy storage system) is not greater than 70 mm = (80 mm - 5 mm × 2); the height of the battery box (corresponding to the height of the energy storage system) is not greater than 10 mm = (50 mm - 5 mm × 2). Then, in the case where the predicted component is a battery box, the component size data corresponding to the battery box can be analyzed and determined to be 20 mm * 70 mm * 10 mm.

[0043] Step 230: Based on the component size data of at least one component, obtain the array arrangement relationship of at least one component in the energy storage system as the design result of the energy storage system.

[0044] Schematically, after determining the component size data, the size of the component is constrained by the component size data, and the array arrangement relationship of at least one component in the energy storage system is obtained by integrating the dimension influence parameters as the design result of the energy storage system. Optionally, at least one component is at least one system component when constructing the energy storage system. For example, at least one component includes the basic system component constituting the energy storage system - battery cells; and / or, at least one component includes battery modules constituting the energy storage system, etc.

[0045] Since the energy storage system is usually implemented as a hierarchical structure, at least one component usually includes system components of multiple levels (such as at least one component includes battery cells, battery modules, etc.); based on this, the array arrangement relationship of at least one component in the energy storage system usually includes not only the arrangement of system components of one level, but also the corresponding arrangements of system components of multiple levels. For example, determine the battery cluster size of the battery cluster, and determine the arrangement of the battery cluster in the energy storage system, and, determine the battery box size of the battery box, and determine the arrangement of the battery box in the battery cluster, and, determine the module size of the battery module, and determine the arrangement of the battery module in the battery box, and, determine the cell size of the battery cell, and determine the arrangement of the battery cell in the battery module.

[0046] In summary, by comprehensively analyzing the dimensional constraint data of the dimensional constraints for constructing the dimensions and the dimensional influence parameters that affect the spatial layout in the energy storage system with the aid of the dimension generation model, the component dimension data corresponding to at least one component in the energy storage system is obtained. Furthermore, the array arrangement relationship of at least one component in the energy storage system is obtained under the constraint of the component dimensions, which helps to improve the utilization rate of the constructed energy storage system, and further helps to expand the application scenarios of the energy storage system and enhance the energy storage level.

[0047] In an alternative embodiment, the component dimension data corresponding to the system components is analyzed successively according to the hierarchical relationship from large to small until the component dimension data corresponding to the basic system components (the smallest system components) is analyzed. Schematically, as Figure 3 shown, the above Figure 2 illustrated embodiment can also be implemented as the following steps 310 to 340; wherein, Figure 2 step 220 in Figure 2 can also be implemented as the following step 320;

[0048] Step 310, obtain the dimensional constraint data and dimensional influence parameters of the energy storage system.

[0049] Among them, the dimensional constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimensional dimension, and the dimensional influence parameter is a parameter that affects the spatial layout of the energy storage system. Optionally, when the dimensional constraint data is implemented as preset data for constraining the overall dimension of the energy storage system, at least ensure that the component dimensions of the system components constituting the energy storage system are not greater than the dimensional constraint data, and it is also necessary to perform spatial arrangement on at least one type of system component based on the deployment requirements of the system components.

[0050] Schematically, during the construction of the energy storage system, in addition to considering the dimensional constraint data that constrains the construction dimensions of the energy storage system, it is also necessary to consider the spatial layout situation inside the energy storage system to ensure that the arrangement of the system components inside the energy storage system can meet the preset deployment requirements. Therefore, the dimensional influence parameter is also a parameter that constrains the construction process of the energy storage system. Optionally, the dimensional influence parameter corresponds to at least one parameter type, and the parameter type includes at least one of the following forms: (1) a quantity parameter that constrains the number of system components; (2) a spacing parameter that constrains the spacing between system components; (3) a direction parameter that constrains the arrangement direction of system components, etc.

[0051] In some embodiments, the dimensional constraint data and dimensional influence parameters are stored in the form of a control table. The dimensional constraint parameters generally include three dimensions, namely: length, width, and height. Each of the three dimensions is stored in a table row or a table column in the control table, and each dimension corresponds to a numerical filling column for filling in the length, width, and height required for constructing the energy storage system. In addition, the dimensional influence parameters of each parameter type are also stored in a table row or a table column in the control table, and each dimensional influence parameter also corresponds to a numerical filling column. The dimensional constraint data and the dimensional influence parameters are obtained based on the numerical filling operation. As shown in Table 1 below.

[0052] Table 1

[0053] Among them, the container length, container width, and container height represent the dimensional constraint parameters, which are used to constrain the construction dimensions of the energy storage system container. The preset energy storage system container includes a battery cluster and other components (such as heat dissipation components, control components, etc.). The battery cluster is composed of multiple battery boxes, the battery boxes are composed of multiple battery modules, and the battery modules are composed of multiple battery cells. Among them, the number of battery box rows, the number of battery box columns, and the number of battery box layers are used to constrain the arrangement of the battery boxes in the energy storage system container, and also indirectly represent the number of battery boxes in the energy storage system. The outer space 1 and the outer space 2 represent the front spacing and the rear spacing of adjacent battery boxes (the front and rear directions can be arbitrarily selected or preset in advance). The number of single-module battery cells represents the number of battery cells in a single battery module. The number of modules side by side represents the number of battery modules arranged in sequence in the battery box. The reserved outer spacing between modules side by side represents the spacing between adjacent battery modules when arranged in sequence. The battery cell spacing represents the spacing between adjacent battery cells arranged in sequence within the battery module.

[0054] In addition, the parameter values represent the numerical filling columns in the control table, and the dimensional constraint parameters and the dimensional influence parameters are obtained by filling in the numerical values. As shown in Table 1, the dimensional constraint parameters of the energy storage system container are 6058mm * 2438mm * 2896mm, and the dimensional influence parameters include the number of battery box rows 2, the number of battery box columns 5, the number of battery box layers 8, the outer space 1 (59mm), and the outer space 2 (170mm) that constrain the battery boxes, and also include the number of modules side by side 4 in total, the reserved outer spacing between modules side by side 10mm that constrain the battery modules, and also include the number of single-module battery cells 12 and the battery cell spacing 2mm that constrain the battery cells, etc.

[0055] It should be noted that all, some, or a control table with more abundant parameter content can be filled in the above-mentioned data filling columns, which is not limited here.

[0056] Step 320: Analyze the dimension constraint data and dimension influence parameters through the dimension generation model, and layer by layer from large to small, obtain the component dimension data corresponding to multiple components in the energy storage system respectively.

[0057] Schematically, the energy storage system is a system constructed by system components at multiple levels, and there is a subordinate relationship between multiple levels. The subordinate relationship means that the lower-level system components form the upper-level system components. For example: The system components in the energy storage system include battery cells, battery modules, battery boxes, and battery clusters. Among them, the battery cells are subordinate to the battery modules, representing that at least one battery cell forms a battery module; the battery modules are subordinate to the battery boxes, representing that at least one battery module forms a battery box; the battery boxes are subordinate to the battery clusters, representing that at least one battery box forms a battery cluster; the battery clusters are subordinate to the energy storage system, representing that at least one battery cluster forms the energy storage system, etc.

[0058] Optionally, the dimension constraint data is usually data used to constrain the size of a larger structure, that is, the dimension constraint data is usually data that constrains the overall size of the energy storage system, or the dimension constraint data is usually data that constrains the size of the upper-level system components (such as data that constrains the size of the battery cluster, etc.). Schematically, after obtaining the pre-trained dimension generation model, use the dimension constraint data and dimension influence parameters as independent variable parameters, and through the dimension generation model, combine and analyze the dimension constraint data and dimension influence parameters. First, analyze and obtain the component dimension data corresponding to the components located in the upper layer of the energy storage system.

[0059] Schematically, the components in the upper layer are system components subordinate to the energy storage system, and are usually the next-level system components of the energy storage system or system components constrained by the dimension constraint data.

[0060] In an optional embodiment, analyze the dimension constraint data and the dimension influence parameters related to the components in the first layer through the dimension generation model, and obtain the component dimension data corresponding to the components in the first layer of the energy storage system.

[0061] Optionally, taking the dimension constraint data as the data used to constrain the overall size of the energy storage system as an example, when analyzing the dimension constraint data through the dimension generation model, analyze the component dimension data corresponding to the components in the first layer of the energy storage system with the dimension constraint data as the constraint condition of the dimension dimension. The components in the first layer are the highest-level system components in the energy storage system. For example, the components in the first layer are battery clusters, or the components in the first layer are battery boxes, etc.

[0062] In some embodiments, when analyzing the dimension influence parameters, obtain the dimension influence parameters related to the construction process of the components in the first layer from the dimension influence parameters, that is, obtain the dimension influence parameters related to the components in the first layer. Thus, under the constraints of the dimension constraint data and the dimension influence parameters related to the components in the first layer, the dimension generation model generates the component dimension data corresponding to the components in the first layer of the energy storage system.

[0063] Schematically, the dimensional constraint data is data that constrains the overall dimensions of the energy storage system. If a battery cluster is included in the energy storage system, the first-layer component can be selected as the battery box, and the dimensional influence parameters related to the battery box are obtained from the dimensional influence parameters as the dimensional influence parameters related to the first-layer component (such as the number of rows of battery boxes, the number of columns of battery boxes, the number of layers of battery boxes, the space outside the box 1, and the space outside the box 2 in Table 1 above). Thus, based on the dimensional constraint data and the dimensional influence parameters related to the first-layer component, the situation of the first-layer component can be analyzed more specifically, that is, the component dimension data corresponding to the first-layer component is obtained.

[0064] Under the constraints of the dimensional constraint data and the dimensional influence parameters, the component dimension data of the first-layer component generated by the dimension generation model conforms to the dimensional constraint data and the dimensional influence parameters related to the first-layer component.

[0065] In an optional embodiment, the component dimension data of the i-th layer component and the dimensional influence parameters related to the (i + 1)-th layer component are analyzed through the dimension generation model to obtain the component dimension data corresponding to the (i + 1)-th layer component in the energy storage system. Among them, the i-th layer component includes at least one (i + 1)-th layer component, and i is a positive integer.

[0066] Schematically, after the dimension generation model infers the component dimension data corresponding to the upper-layer component (such as the component of the i-th layer) in the hierarchical order, the dimension generation model continues to comprehensively analyze the component dimension data and the dimensional influence parameters to obtain the component dimension data corresponding to the lower-layer component (such as the component of the (i + 1)-th layer) subordinate to the upper layer in the energy storage system. For example: the component dimension data of the first-layer component and the dimensional influence parameters related to the second-layer component are analyzed through the dimension generation model to obtain the component dimension data corresponding to the second-layer component in the energy storage system; then, the component dimension data of the second-layer component and the dimensional influence parameters related to the third-layer component can also be analyzed through the dimension generation model to obtain the component dimension data corresponding to the third-layer component in the energy storage system, and so on.

[0067] Optionally, if the component of the i-th layer is a battery cluster, the component size data corresponding to the component of the i-th layer is the component size data corresponding to the battery cluster; if the system component for constructing the battery cluster is a battery box, then the component of the (i + 1)-th layer is a battery box, and the size influence parameter related to the component of the (i + 1)-th layer is the size influence parameter related to the battery box in the size influence parameters. By synthesizing the component size data of the battery cluster and the size influence parameter related to the battery box, the component size data of the battery box subordinate to the battery cluster is analyzed, and then the component size data corresponding to the component of the (i + 1)-th layer is obtained. Similarly, if the component of the i-th layer is a battery box, the component size data of the battery module subordinate to the battery box is analyzed as the component size data corresponding to the component of the (i + 1)-th layer; or, if the component of the i-th layer is a battery module, the component size data of the battery cell subordinate to the battery module is analyzed as the component size data corresponding to the component of the (i + 1)-th layer, etc., which will not be elaborated here. That is to say: in the process of analyzing the size constraint data and the size influence parameters through the size generation model to obtain the component size data corresponding to at least one component in the energy storage system, the at least one component includes components of at least one level, and the component size data corresponding to each level of components (or system components) can be sequentially deduced in the order from the large level to the small level until the component size data corresponding to the system component of the smallest level in the energy storage system is deduced.

[0068] In some embodiments, the component of the i-th layer includes at least one component of the (i + 1)-th layer.

[0069] Schematically, the component of the (i + 1)-th layer is subordinate to the component of the i-th layer, and the component of the i-th layer is composed of the component of the (i + 1)-th layer. Optionally, the component of the i-th layer includes one component of the (i + 1)-th layer; or, the component of the i-th layer includes one component of the (i + 1)-th layer and other functional components (such as a cooling component, a control component, etc.); or, the component of the i-th layer includes multiple components of the (i + 1)-th layer, such as multiple battery cells forming a battery module; or, the component of the i-th layer includes multiple components of the (i + 1)-th layer and other functional components, such as multiple battery cells and a cooling component forming a battery module, etc., which are not limited here.

[0070] Step 330, based on the component size data corresponding to the component of the first layer and the size influence parameter related to the component of the first layer, obtain the first array arrangement relationship of at least one component of the first layer in the energy storage system.

[0071] Schematically, based on the component size data corresponding to the first-layer components and the size influence parameters related to the first-layer components, analyzing and constructing the array arrangement relationship of at least one first-layer component in the energy storage system during the construction of the energy storage system is called the first array arrangement relationship. For example: when the first-layer component is a battery cluster, after analyzing the component size data corresponding to the battery cluster, based on the component size data of the battery cluster and the size influence parameters related to the battery cluster, analyze the first array arrangement relationship of at least one battery cluster in the energy storage system during the construction of the energy storage system; similarly, when the first-layer component is a battery box or a battery module, etc., the first array arrangement relationship subordinate to the corresponding battery components can also be analyzed. Optionally, when there is one first-layer component, the first array arrangement relationship represents the arrangement position of the first-layer component; when there is at least one first-layer component and at least one functional component, the first array arrangement relationship represents the arrangement position of at least one first-layer component and the relative position relationship between the first-layer component and at least one functional component, etc.

[0072] Step 340: Based on the component size data corresponding to the (i + 1)-th layer components and the size influence parameters related to the (i + 1)-th layer components, obtain the second array arrangement relationship of at least one (i + 1)-th layer component in the i-th layer components.

[0073] Schematically, after analyzing the component size data corresponding to the (i + 1)-th layer components, based on the component size data corresponding to the (i + 1)-th layer components and the size influence parameters related to the (i + 1)-th layer components, analyzing and constructing the array arrangement relationship of at least one (i + 1)-th layer component in the energy storage system during the construction of the energy storage system is called the second array arrangement relationship. For example: when the (i + 1)-th layer component is a battery box, after analyzing the component size data corresponding to the battery box, based on the component size data of the battery box and the size influence parameters related to the battery box, analyze the second array arrangement relationship of multiple battery boxes in the energy storage system / battery cluster during the construction of the energy storage system; similarly, when the (i + 1)-th layer component is a battery module, the second array arrangement relationship of multiple battery modules in the energy storage system / battery box during the construction of the energy storage system can also be analyzed; similarly, when the (i + 1)-th layer component is a battery cell, the second array arrangement relationship of multiple battery cells in the energy storage system / battery module during the construction of the energy storage system can also be analyzed. That is to say, the second array arrangement relationship includes at least one of the following situations: (1) the arrangement relationship of battery boxes in the battery cluster; (2) the arrangement relationship of battery modules in the battery box; (3) the arrangement relationship of battery cells in the battery module.

[0074] Among them, step 330 and step 340 can be sequentially executed after step 320; or step 330 and step 340 can be simultaneously executed after step 320. Here, the execution order of the steps is not limited.

[0075] Among them, the design result of the energy storage system includes the first array arrangement relationship and the second array arrangement relationship.

[0076] Schematically, after obtaining the first array arrangement relationship and the second array arrangement relationship, at least one component of the first layer arranged in the energy storage system is referred to based on the first array arrangement relationship, and at least one component of the (i + 1)-th layer arranged in the i-th layer component is referred to based on the second array arrangement relationship. Therefore, by combining the first array arrangement relationship and the second array arrangement relationship, the arrangement of multiple smaller-level i-th layer components in the energy storage system can be determined more accurately, that is, the design result of the energy storage system is obtained.

[0077] In some embodiments, based on the component size data of at least one component, the array arrangement relationship of at least one component in the energy storage system is obtained under the condition that the size influence parameters are met, as the design result of the energy storage system. The above is only a schematic example, and the embodiments of the present application are not limited thereto.

[0078] In the embodiments of the present application, the content of predicting the component size data of system components at each level by means of step-by-step downward recursion is introduced. Starting from the overall energy storage system and gradually refining to each component can more accurately reflect the actual requirements and limitations of each system component, reduce the calculation error of component size data, and also facilitate the system designer to perform fine-grained optimization at each level, making the overall design of the energy storage system more coordinated with the design of each system component, reducing problems caused by size mismatch, improving the flexibility of adjusting component size, being conducive to adapting to changing requirements, and reducing technical limitations.

[0079] In an alternative embodiment, taking the energy storage system obtained according to the hierarchical combination of battery clusters, battery boxes, battery modules, and battery cells as an example, based on the meaning represented by the size constraint data, the size constraint data corresponding to each system component (battery cluster, battery box, battery module, and battery cell) can be recursively deduced layer by layer. Taking the analysis of the system components at the smallest level as the goal, until the size constraint data of the battery cells is obtained, so as to construct the energy storage system based on the size constraint data of the battery cells. In some embodiments, taking the size constraint data as the system size constraint data for constraining the overall size of the energy storage system as an example, as Figure 4 shown, the above Figure 2 shown embodiments can also be implemented as the following steps 410 to step 460; among them Figure 2 shown step 220 can also be implemented as the following steps 410 to step 450.

[0080] Step 410, obtain the system size constraint data and size influence parameters of the energy storage system.

[0081] Schematically, the energy storage system is a system to be currently constructed for storing energy. The system size constraint data is data that constrains the overall size of the energy storage system, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system.

[0082] In an optional embodiment, the size influence parameter includes at least one of the battery box association parameter, the module association parameter, the cell association parameter, and the temperature control parameter. Among them, the battery box association parameter is used to characterize the spatial information of deploying battery boxes inside the energy storage system. Schematically, the battery box association parameter is such as the number of battery box rows and the number of battery box columns in Table 1 above, and is not limited to the following parameter content: the height of the bottom battery box from the ground (representing the height of the battery box arranged at the bottom in the energy storage system from the ground), the top distance of the top battery box (representing the distance of the battery box arranged at the top in the energy storage system from above), etc. Among them, the module association parameter is used to characterize the spatial information of deploying battery modules inside the energy storage system. Schematically, the module association parameter is such as the number of modules side by side and the outer spacing between modules side by side in Table 1 above; in addition, the module association parameter includes but is not limited to the following parameter content: the number of modules head to tail (if the battery modules are arranged in a head-to-tail form, the number of modules arranged head to tail), the head-to-tail spacing between modules (if the battery modules are arranged in a head-to-tail form, the spacing when arranged head to tail), etc. Among them, the cell association parameter is used to characterize the spatial information of deploying battery cells inside the energy storage system. Schematically, the cell association parameter is such as the number of cells in a single module and the cell spacing in Table 1 above; the number of groups side by side, the outer spacing between modules side by side; in addition, the cell association parameter includes but is not limited to the following parameter content: whether the cells are staggered (whether the battery cells are staggered when arranged in the energy storage system), the end plate spacing of the cells (the spacing between the end plates for deploying the battery cells), etc. Among them, the temperature control parameter is used to characterize the temperature limit information inside the energy storage system. Schematically, the temperature control parameter is used to constrain the temperature of the energy storage system during operation not to exceed the temperature threshold to maintain the stable operation of the energy storage system. Optionally, the temperature control parameter is constrained by a liquid cooling host, and the liquid cooling host is a component deployed in the energy storage system, for example: deploying the liquid cooling host inside the energy storage system and outside the battery cluster. Optionally, since it is necessary to deploy the liquid cooling host, it is necessary to constrain the spatial range of the liquid cooling host in the energy storage system, and the spatial range of the liquid cooling host is used as the temperature control parameter.

[0083] Step 420, analyze the system size constraint data and the size influence parameter through the size generation model to obtain the battery cluster size data corresponding to the battery cluster in the energy storage system.

[0084] Schematically, when the dimension constraint data is the system dimension constraint data that constrains the overall dimension of the energy storage system, since the energy storage system is constructed by battery clusters, and the battery cluster is the system component of the first layer for constructing the energy storage system, when analyzing the system dimension constraint data and dimension influence parameters through the dimension generation model, the battery cluster dimension data corresponding to the battery cluster of the first layer during the construction of the energy storage system is obtained first. Optionally, based on the system dimension constraint data and the dimension influence parameters corresponding to the battery cluster, the battery cluster dimension data of the battery cluster is first analyzed through the dimension generation model. The battery cluster dimension data is usually smaller than the system dimension constraint data and conforms to the dimension influence parameters corresponding to the battery cluster.

[0085] Step 430: Analyze the battery cluster dimension data and dimension influence parameters through the dimension generation model to obtain the battery box dimension data corresponding to the battery box in the energy storage system.

[0086] Schematically, after obtaining the battery cluster dimension data based on the dimension generation model, since the battery cluster is constructed by battery boxes, and the battery box is the system component of the second layer for constructing the battery cluster in the energy storage system, when analyzing the battery cluster dimension data and dimension influence parameters through the dimension generation model, the battery box dimension data corresponding to the battery box of the second layer during the construction of the energy storage system is obtained first. Optionally, based on the battery cluster dimension data and the dimension influence parameters corresponding to the battery box, the battery box dimension data of the battery box is secondly analyzed through the dimension generation model. The battery box dimension data is usually smaller than the battery cluster dimension constraint data and conforms to the dimension influence parameters corresponding to the battery box. In an optional embodiment, when the energy storage system is directly constructed by multiple battery boxes instead of being constructed by multiple battery boxes to form a single battery cluster first and then multiple battery clusters to construct the energy storage system, the battery box dimension data corresponding to the battery box in the energy storage system can be obtained by analyzing the system dimension constraint data and dimension influence parameters through the dimension generation model.

[0087] Optionally, according to the conventional and mainstream design and arrangement methods of the energy storage system and the battery box, the width of the battery box is arranged along the length direction of the container, the length of the battery box is arranged along the width direction of the container, and the height of the battery box is arranged along the height direction of the container. Therefore, based on the system dimension constraint data (the length, width, and height of the container) and the dimension influence parameters (the parameters affecting the arrangement method of the battery box in the container), the battery box dimension data (the length, width, and height of the battery box) of the battery box can be obtained through the dimension generation model.

[0088] Schematically, the dimension generation model is a trained mathematical model, and the formulas related to the battery box calculation include the following Formulas 1 to 3.

[0089] Formula 1: Battery box width = (Container length - Electrical cabin width - Average width of columns * Number of battery box columns - Space on the left side of the container wall - Space on the right side of the container wall) / Number of battery box columns.

[0090] Formula 2: Battery box length = (Container width - Reserved space outside the battery box * 2 - Distance between battery boxes back to back * (Number of battery box rows - 1)) / Number of battery box rows.

[0091] Formula 3: Battery box height = (Container height - Distance between the bottom of the bottom - most battery box and the bottom surface of the container bottom corner fitting - Distance between the top surface of the top - most battery box and the top surface of the container top corner fitting - Spacing between upper and lower battery boxes * (Number of battery boxes in the container height direction - 1)) / Number of battery boxes in the container height direction.

[0092] Among them, the "electrical cabin" mentioned in Formula 1 is an internal component used to accommodate equipment and components such as thermal management equipment and busbar cabinets; the "average width of columns" is the average height of the "columns" in the container. The "columns" are the vertical structural parts that support the container frame, usually the column - shaped steel structures at the four corners of the container, responsible for supporting the weight of the container and providing structural stability. The "average height of columns" is usually the average value of the column heights at each corner of the container; the "space on the left side of the container wall" is the distance between the left - most battery box and the left side of the container; the "space on the right side of the container wall" is the distance between the right - most battery box and the right side of the container. Therefore, the container length in Formula 1 is the system - size constraint data of the energy storage system, and the electrical cabin width, average width of columns, number of battery box columns, space on the left side of the container wall, and space on the right side of the container wall are the size - influencing parameters related to the battery box.

[0093] Among them, the "reserved space outside the battery box" mentioned in Formula 2 is the average value of the sum of the distances from the front end face of the battery box to the end face of the front corner fitting of the container (the outside of the end of the corner fitting at the front end of the container) and from the rear end face of the battery box to the end face of the rear corner fitting of the container (the outside of the end of the corner fitting at the rear end of the container); the "distance between battery boxes back to back" is the distance between the backs of multiple battery boxes. Therefore, the container width in Formula 2 is the system - size constraint data of the energy storage system, and the reserved space outside the battery box, distance between battery boxes back to back, and number of battery box rows are the size - influencing parameters related to the battery box.

[0094] Among them, the spacing between upper and lower battery boxes mentioned in Formula 3 represents the spacing between the top - most battery box and the bottom - most battery box in the container. Therefore, the container height in Formula 2 is the system - size constraint data of the energy storage system, and the distance between the bottom of the bottom - most battery box and the bottom surface of the container bottom corner fitting, the distance between the top surface of the top - most battery box and the top surface of the container top corner fitting, the spacing between upper and lower battery boxes, and the number of battery boxes are the size - influencing parameters related to the battery box.

[0095] With the above Formula 1 and Formula 3, based on the determination of the system size constraint data and the size influence parameters, the length, width and height of the battery box can be calculated, that is, the battery box size data can be obtained.

[0096] Step 440, analyze the battery box size data and the size influence parameters through the size generation model to obtain the module size data corresponding to the battery modules in the energy storage system.

[0097] Schematically, after obtaining the battery box size data based on the size generation model, since the battery box is constructed by battery modules, and the battery module is a system component of the third layer in constructing the battery box in the energy storage system, when analyzing the battery box size data and the size influence parameters through the size generation model, first obtain the module size data corresponding to the battery modules of the third layer when constructing the energy storage system. Optionally, based on the module size data and the size influence parameters corresponding to the battery modules, then analyze through the size generation model to obtain the module size data of the battery modules. The module size data is usually smaller than the battery box size constraint data and conforms to the size influence parameters corresponding to the battery modules. Optionally, the size generation model is a trained mathematical model, and the formula related to the calculation of the battery module includes the following Formula 4.

[0098] Formula 4: Module length = {Battery box length - Distance from the front end face of the module to the front end face of the battery box - Distance from the rear end face of the module to the rear end face of the battery box - Spacing between front and rear modules * (Number of front and rear modules - 1)} / Number of front and rear modules.

[0099] Formula 5: Module width (cell width) = {Battery box width - Hem size * 2 - Spacing between the battery module and the box wall * 2 - Spacing between battery modules * (Number of side-by-side modules - 1)} / Number of modules.

[0100] Formula 6: Module height (cell width) = Battery box height - Distance from the bottom of the cell to the bottom of the battery box - Reserved space above the cell terminal.

[0101] Among them, the hem size in Formula 5 refers to the size of the hem formed by bending the edges of some components in the container structure (usually the metal sheet part of the container), which is used as the connection and sealing design space between the upper and lower boxes of the battery box; the battery box length, battery box width and battery box height in Formula 4, Formula 5 and Formula 6 are the battery box size data that constrain the construction process of the battery module; the distance from the front end face of the module to the front end face of the battery box, the distance from the rear end face of the module to the rear end face of the battery box, the spacing between front and rear modules, the number of front and rear modules, the hem size, the spacing between the battery module and the box wall, the spacing between battery modules, the number of side-by-side modules, the number of modules, the distance from the bottom of the cell to the bottom of the battery box, and the reserved space above the cell terminal are the size influence parameters related to the battery module.

[0102] Step 450: Analyze the module size data and size influence parameters through the size generation model to obtain the cell size data corresponding to the battery cells in the energy storage system.

[0103] Illustratively, finally, the cell size data of the battery cells is obtained through analysis by the size generation model. The cell size data is usually smaller than the module size constraint data and conforms to the size influence parameters corresponding to the battery cells. Optionally, according to the layout of the battery modules inside the battery box: the cell width W of the battery cells is arranged along the length direction of the container; the cell thickness (or cell length) is arranged along the width direction of the container; the cell poles face upward, and the cell height (including the poles) is arranged along the height direction of the container; according to the conventional and mainstream design and layout methods of the energy storage system and the battery box, the module width of the battery module is similar to the cell width of the battery cells, and the module height of the battery module is similar to the cell height of the battery cells. For example, the module width of the battery module is slightly larger than the cell width, and the module height of the cell module is slightly larger than the cell height, etc.; therefore, with the help of the above module width formula (Formula Five), the above cell height formula (Formula Six), and the following Formula Seven, the cell size data of the battery cells can be determined.

[0104] Formula Seven: Cell thickness = {Module length - Module end plate thickness * 2 - Distance between the battery cell and the end plate * 2 - Distance between battery cells * (Number of battery cells in a single battery module - 1)} / Number of battery cells in a single battery module.

[0105] Among them, the battery box width, module length, and battery box height are the size constraint data when calculating the cell size data. The hem size, distance between the battery module and the box wall, distance between battery modules, number of side-by-side modules, number of modules, module end plate thickness, distance between the battery cell and the end plate, distance between battery cells, number of battery cells in a single battery module, distance from the bottom of the cell to the bottom of the battery box, and reserved space above the cell poles are the size influence parameters related to the battery cells. Therefore, with the help of the above Formula Five, Formula Six, and Formula Seven, based on determining the size constraint data and size influence parameters, the length, width, and height of the battery cells can be calculated, that is, the cell size data is obtained.

[0106] In an alternative embodiment, for the battery cell to the energy storage system (Cell To System, CTL), that is, without the process of constructing a battery module from battery cells, constructing a battery box from the battery module, and constructing an energy storage system from the battery box (or constructing a battery cluster from the battery box and constructing an energy storage system from the battery cluster), an energy storage system can be directly constructed from the battery cells.

[0107] Therefore, the calculation formulas for the cell size data of the battery cells in the CTL system include the following Formulas Eight to Ten.

[0108] Formula VIII: Cell width = (Container length - Electrical compartment width - Average width of columns * Number of battery box rows - Space on the left side wall of the container - Space on the right side wall of the container) / Number of cell rows.

[0109] Formula IX: Cell thickness = (Container width - Thickness of fixed end plates * 2 - Distance between the cell and the fixed end plates * 2 - Distance between cells * (Number of cells in a single row in the container width direction - 1)) / Number of cells in a single row in the container width direction.

[0110] Formula X: Cell height = {Container height - Distance between the bottom of the bottommost cell and the bottom surface of the container corner fitting - Distance between the end face of the pole of the topmost cell and the top surface of the container top corner fitting - Distance between upper and lower cells * (Number of cells in the container height direction - 1)} / Number of cells in the container height direction.

[0111] Among them, the average volume t of the energy storage container occupied by a single battery cell and the volume T of the supporting energy storage container (energy storage system) (i.e., the quotient of the container volume and the total number of cells accommodated in the container) satisfy: 0.2% ≥ t2 / T ≥ 0.03%. In addition to being implemented as a container, the energy storage system in the embodiments of the present application can also be implemented as an energy storage cabinet (such as an outdoor energy storage cabinet), etc., which is not limited herein.

[0112] Step 460: Based on the cell size data, obtain the array arrangement relationship of the battery cells in the energy storage system as the design result in the energy storage system.

[0113] Schematically, after obtaining the cell size data corresponding to the battery cells that are the most basic system components for constructing the energy storage system, the array arrangement relationship of the battery cells in the energy storage system can be obtained. Since the battery cluster size data, battery box size data, and module size data are also sequentially analyzed in this process, the array arrangement relationship of the battery clusters in the energy storage system is sequentially determined based on the battery cluster size data, the array arrangement relationship of the battery boxes in the battery clusters is determined based on the battery box size data, the array arrangement relationship of the battery modules in the battery boxes is determined based on the module size data, and the array arrangement relationship of the battery cells in the battery modules is determined based on the cell size data.

[0114] In an alternative embodiment, when the battery cluster size data corresponding to the battery clusters in the energy storage system is obtained through the size generation model, the battery cluster arrangement relationship of the battery clusters in the energy storage system is obtained based on the battery cluster size data and the battery cluster association parameters.

[0115] Schematically, when there is a battery cluster in the energy storage system, there may be other components in addition to the battery cluster, such as a liquid cooling host component, etc. The size of the liquid cooling host component corresponding to the liquid cooling host belongs to a battery cluster associated parameter, and the battery cluster associated parameter is a parameter related to the battery cluster in the size associated parameters; at this time, it is necessary to analyze the arrangement of the battery cluster in the energy storage system based on the analyzed battery cluster size data and battery cluster associated parameters such as the liquid cooling host component, as the battery cluster arrangement relationship.

[0116] Alternatively, when there are multiple battery clusters in the energy storage system, analyze the arrangement of the multiple battery clusters as the battery cluster arrangement relationship; or, when analyzing the multiple battery clusters, there may also be other components, such as a liquid cooling host component, etc. At this time, it is necessary to analyze the arrangement of the multiple battery clusters in the energy storage system based on the liquid cooling host component, as the battery cluster arrangement relationship.

[0117] In some embodiments, in the case of obtaining the battery box size data corresponding to the battery box in the energy storage system through the size generation model, obtain the battery box arrangement relationship of the battery box in the battery cluster based on the battery box size data and the battery box associated parameters.

[0118] Among them, the size influencing parameters include the battery box associated parameters. Schematically, analyze the size constraint data / battery cluster size data and the battery box associated parameters through the size generation model to obtain the battery box size data; based on the battery box size data and the battery box associated parameters in the size associated parameters, obtain the battery box arrangement relationship of at least one battery box in the battery cluster. Schematically, the battery box associated parameter is a parameter related to the battery box in the size associated parameters. After obtaining the battery box size data, under the constraints of the battery box size data and the battery box associated parameters, analyze the arrangement of at least one battery box in the battery cluster to obtain the battery box arrangement relationship. Optionally, the battery box arrangement relationship includes the arrangement of at least one battery box in a battery cluster; and / or, includes the corresponding arrangement of at least one battery box in multiple battery clusters. If there are multiple battery clusters, based on the constraints of the battery box associated parameters, the arrangement of the battery boxes in different battery clusters may be the same or different.

[0119] In some embodiments, in the case of obtaining the module size data corresponding to the battery module in the energy storage system through the size generation model, obtain the module arrangement relationship of the battery module in the battery box based on the module size data and the module associated parameters. Among them, the size influencing parameters include the module associated parameters.

[0120] In some embodiments, in the case of obtaining the cell size data corresponding to the battery cell in the energy storage system through the size generation model, obtain the cell arrangement relationship of the battery cell in the battery module based on the cell size data and the cell associated parameters. Among them, the size influencing parameters include the cell associated parameters.

[0121] In some embodiments, based on the temperature control parameters, a third array arrangement relationship of the temperature control components in the energy storage system is obtained. The size-affecting parameters include temperature control parameters. Schematically, the temperature control parameters are parameters used to constrain the temperature in the size-related parameters, and the temperature control components are system components used to characterize the temperature control parameters, such as a liquid-cooled host, etc.; the liquid-cooled host can be directly arranged within the energy storage system, outside the battery cluster, and can also be arranged in the battery cluster and / or battery box and / or battery module; based on the temperature control parameters, a third array arrangement relationship of at least one temperature control component in the energy storage system is determined.

[0122] In some embodiments, based on the battery cluster arrangement relationship, battery box arrangement relationship, module arrangement relationship, battery cell arrangement relationship and third array arrangement relationship, the design results of the battery cluster, battery box, battery module, battery cell and temperature control component in the energy storage system are obtained.

[0123] In the embodiments of the present application, it is introduced that in an energy storage system, the component sizes of system components at each level can be predicted in the reverse order of battery cluster - battery box - battery module - battery cell, and the analysis of component sizes according to the level from large to small is made more coordinated, which helps the R&D departments of each system component to develop related product content in a targeted manner based on the design results, thereby improving development efficiency and the coordination efficiency between various departments.

[0124] In an optional embodiment, the size constraint data is battery cluster size constraint data used to constrain the size of a battery cluster in an energy storage system as an example for the following description.

[0125] In some embodiments, battery cluster size constraint data and size influencing parameters of an energy storage system are obtained; the battery cluster size constraint data and size influencing parameters are analyzed by a size generation model to obtain battery box size data corresponding to the battery box in the energy storage system; the battery box size data and size influencing parameters are analyzed by a size generation model to obtain module size data corresponding to the battery module in the energy storage system; the module size data and size influencing parameters are analyzed by a size generation model to obtain cell size data corresponding to the battery cell in the energy storage system.

[0126] In some embodiments, based on the battery cell size data, the array arrangement relationship of the battery cells in the battery cluster is obtained as a battery cluster design result of the battery cluster; and the battery cluster arrangement relationship obtained by at least one battery cluster arrangement that conforms to the battery cluster design result is obtained as a design result of the energy storage system.

[0127] Schematically, since the cell size data is sequentially determined in the order of energy storage system - battery cluster - battery box - battery module - battery cell, analyzing the array arrangement relationship of the battery cells in the battery module also determines the array arrangement relationship of the battery cells relative to the battery box, and also determines the array arrangement relationship of the battery cells relative to the battery cluster, thus obtaining the battery cluster design result of the battery cluster.

[0128] In an alternative embodiment, taking the battery box size constraint data for constraining the size of the battery box in the energy storage system as an example, the following is described. Optionally, obtain the battery box size constraint data and size influence parameters of the energy storage system; analyze the battery box size constraint data and size influence parameters through a size generation model to obtain the module size data corresponding to the battery module in the energy storage system; analyze the module size data and size influence parameters through the size generation model to obtain the cell size data corresponding to the battery cells in the energy storage system; based on the cell size data, obtain the array arrangement relationship of the battery cells in the battery box as the battery box design result of the battery box; obtain the battery box arrangement relationship obtained by arranging at least one battery box that conforms to the battery box design result as the design result of the energy storage system. Schematically, when designing the energy storage system subsequently, obtain the system size constraint data for constraining the overall size of the energy storage system and the battery cluster size constraint data for constraining the size of the battery cluster in the energy storage system, so as to generate an energy storage system including at least one battery box based on the battery box size constraint data, the battery cluster size constraint data, and the system size constraint data, and the battery box in the energy storage system is obtained based on the battery box design result.

[0129] In the embodiments of the present application, it is also introduced that the size constraint data can be the constraint data of the system components at the intermediate level, so as to inversely deduce to the cell size and then obtain the component design result, and then obtain the design result of the energy storage system under the constraint of the component design result, which improves the flexibility of the energy storage system design process and facilitates the application of the system design process in a wider range of scenarios.

[0130] In an alternative embodiment, before analyzing the size constraint data and size influence parameters of the energy storage system through the size generation model, the size generation model is pre-trained. Schematically, as Figure 5 shown, the above Figure 2 illustrated embodiment may further include the following steps 510 to step 530.

[0131] Step 510, obtain reference component size data.

[0132] Among them, the reference component size data is the size of at least one system component collected, and the system component is a component for constructing the first energy storage system. Optionally, the system component includes at least one of a battery cluster, a battery box, a battery module, and a battery cell. Before training the size generation model, the reference component data obtained first is used to describe the size of at least one system component. For example, obtaining reference cell size data, which is used to describe the size of the battery cell; and / or obtaining reference module size data, which is used to describe the size of the battery module; and / or obtaining reference battery box size data, which is used to describe the size of the battery box; and / or obtaining reference battery cluster size data, which is used to describe the size of the battery cluster. Optionally, the first energy storage system is at least one energy storage system constructed within a historical time period, and the historical time period represents a time period before the current moment, such as the past day, the past week, the past month, the past year, etc.

[0133] In an alternative embodiment, the reference component size data is the component size data obtained by screening.

[0134] In some embodiments, historical component size data corresponding to historical energy storage systems constructed within a historical time period is collected. Schematically, the historical energy storage system is an energy storage system constructed within a historical time period, and compared with the above-mentioned first energy storage system, the historical energy storage system has a larger scale. Optionally, for each historical energy storage system, the historical energy storage system is composed of at least one historical system component, and the historical system component is a system component that composes the historical energy storage system. This name is used to distinguish it from the system component when constructing the energy storage system above. Schematically, in the constructed historical energy storage system, each historical system component corresponds to a historical component size data, and the historical component size data is used to describe the component size data corresponding to the historical system component. Optionally, determine multiple historical energy storage systems constructed within the historical time period, and obtain at least one historical component size data corresponding to each of the multiple historical energy storage systems.

[0135] In an optional embodiment, a spatial deployment test is performed on historical component dimension data, and historical component dimension data whose test results meet preset test conditions is screened out from multiple historical component dimension data as reference component dimension data. Schematically, the historical component dimension data is screened to use the historical component dimension data with relatively excellent performance as reference component dimension data, so as to train and generate a more accurate dimension generation model. Optionally, a spatial deployment test is used to achieve the purpose of screening historical component dimension data. Among them, the spatial deployment test is used to analyze the spatial distribution of historical system components in a historical energy storage system. Schematically, each historical energy storage system corresponds to at least one historical component dimension data. For any historical energy storage system, the spatial distribution of historical system components with historical component dimension data in the historical energy storage system is analyzed to analyze the excellence degree of the historical component dimension data.

[0136] For example: The historical system components of a historical energy storage system include historical battery cells and historical battery modules. The historical battery cells correspond to historical cell dimension data, and the historical battery modules correspond to historical module dimension data; Analyze the first spatial distribution of historical battery cells with historical cell dimension data in the historical energy storage system, and analyze the second spatial distribution of historical battery modules with historical module dimension data in the historical energy storage system, so as to comprehensively evaluate the excellence degree of the historical component dimension data. For example: If both the first spatial distribution and the second spatial distribution indicate that the distribution of historical system components is relatively compact, the historical component dimension data is better, indicating that the spatial utilization rate of historical system components with historical component dimension data in the current historical energy storage system is higher, and the wasted space in the historical energy storage system is less.

[0137] In some embodiments, a spatial deployment test is performed on at least one historical component size data in each historical energy storage system to obtain test results corresponding to multiple historical energy storage systems; the multiple test results are respectively compared with test conditions to screen out reference component size data from the multiple historical component size data. Schematically, the test results are used to describe the spatial distribution density of historical system components with historical component size data in a historical energy storage system. For example: performing a spatial deployment test on multiple historical component size data in historical energy storage system 1, and the test result of historical energy storage system 1 is 0.86; performing a spatial deployment test on multiple historical component size data in historical energy storage system 2, and the test result of historical energy storage system 2 is 0.95, etc. Optionally, the test results are compared with preset test conditions; the test conditions are used to characterize that the spatial distribution density of historical system components in the historical energy storage system reaches a density threshold. For example: the preset test condition indicates that the density threshold is 0.9. If the test result meets the preset test condition, the historical component size data corresponding to the test result is used as the reference component size data. If the test result of historical energy storage system 1, 0.86, does not reach 0.9, then filter the multiple historical component size data corresponding to historical energy storage system 1; the test result of historical energy storage system 2, 0.95, reaches 0.9, then use the multiple historical component size data corresponding to historical energy storage system 2 as the reference component size data. If the preset test condition is the result mean of multiple test results, and if the test result reaches the result mean, then the historical component size data corresponding to the test result is used as the reference component size data. For example, the result mean of the test results corresponding to historical energy storage system 1 and historical energy storage system 2 is 0.905. The test result of historical energy storage system 1, 0.86, does not reach the test condition 0.905, then filter the multiple historical component size data corresponding to historical energy storage system 1; the test result of historical energy storage system 2, 0.95, reaches the test condition 0.905, then use the multiple historical component size data corresponding to historical energy storage system 2 as the reference component size data, etc.

[0138] Step 520, obtain reference dimension constraint data and reference dimension influence parameters corresponding to the reference component size data.

[0139] Schematically, after screening out the reference component size data, obtain the reference dimension constraint data corresponding to the reference component size data to learn the constraint data that restricts the construction size of the first energy storage system corresponding to the reference component size data; and, obtain the reference dimension influence parameters corresponding to the reference component size data to learn the parameters that affect the spatial layout when constructing the first energy storage system.

[0140] In an alternative embodiment, the historical energy storage system corresponding to the reference component size data is determined as the first energy storage system. Illustratively, since the reference component size data is obtained by screening multiple historical component size data, based on the reference component size data, the historical energy storage system composed of the historical system components of the reference component size data can be determined from multiple historical energy storage systems, i.e., multiple first energy storage systems. Since there may be multiple reference component size data, multiple first energy storage systems can be obtained based on the multiple reference component size data, which is not limited herein.

[0141] In an alternative embodiment, the reference dimension constraint data and the reference dimension influence parameters used when constructing the first energy storage system are obtained. Illustratively, after obtaining the first energy storage system, the dimension constraint data used when constructing the first energy storage system is analyzed as the reference dimension constraint data; in addition, the dimension influence parameters used when constructing the first energy storage system are analyzed as the reference dimension influence parameters, etc.

[0142] Step 530, under the constraint of the reference dimension constraint data, analyze the law of change of the reference component size data with the reference dimension influence parameters, and model to obtain a dimension generation model.

[0143] Illustratively, in the case of obtaining the reference dimension constraint data, taking the reference dimension constraint data as the dimension constraint condition, analyze the law of change of the reference component size data corresponding to the historical system components in the first energy storage system with the reference dimension influence parameters used in the system construction, and model to obtain the dimension generation model of the mathematical model.

[0144] In an optional embodiment, empirical data is obtained, and the size generation model is obtained by fine-tuning the modeling based on the empirical data. Optionally, the empirical data includes the above-mentioned historical component size data, the test component size data obtained during the experimental process of system construction, and the user feedback data after the system is built; the size generation model is obtained by fine-tuning the modeling with the help of the empirical data, so that the size generation model can better learn a wider range of data change patterns, such as: under the constraints of historical size constraint data (size constraint data during the historical energy storage system construction process), learn the law of changes in historical component size data accompanied by historical size influencing parameters (size influencing parameters during the historical energy storage system construction process); and / or, under the constraints of experimental size constraint data (size constraint data during the test energy storage system construction process, the test energy storage system is an energy storage system constructed in the test phase), learn the law of changes in experimental component size data accompanied by experimental size influencing parameters (size influencing parameters during the test energy storage system construction process); and / or, under the constraints of test size constraint data (size constraint data during the feedback energy storage system construction process, the feedback energy storage system is an energy storage system adjusted based on user feedback), learn the law of changes in feedback component size data accompanied by feedback size influencing parameters (size influencing parameters during the feedback energy storage system construction process), etc.

[0145] In an embodiment of the present application, the content of a dimension generation model obtained by training is introduced. The dimension generation model is constrained by reference component dimension data, reference dimension constraint data and reference dimension influencing parameters to analyze the law of changes in the reference component dimension data accompanied by the reference dimension influencing parameters under the constraints of the reference dimension constraint data, so that the dimension generation model can generate component dimension data that conforms to the dimension influencing parameters and the dimension constraint data given the dimension influencing parameters and the dimension constraint data, which helps to improve the design accuracy of the system and further helps to improve the efficiency of obtaining component dimension data.

[0146] In an optional embodiment, the design method of the energy storage system can also be referred to as "an energy storage system integrated control method". Considering that the conventional grouping method of the mainstream energy storage systems on the market is: first there are battery cells, then the battery cells are used to make battery modules, and then the battery modules are used to form battery boxes, and then multiple battery boxes are used to form battery clusters, and finally multiple battery clusters are used to form an energy storage system. In this grouping method, the size of the battery cell determines the size of the battery module, which is passed upward step by step. The size of the battery cell ultimately determines the amount of electricity that the energy storage system can accommodate and the system energy density (representing the amount of electricity that can be stored per unit mass or unit volume of the energy storage system); in the context of the industry pursuing the increase of the amount of electricity and energy density of the energy storage system, the disadvantage of this method causing the space inside the container to be underutilized is becoming increasingly apparent.

[0147] Schematically, a design method for an energy storage system is introduced, including the following steps.

[0148] (1) Evaluate the factors affecting the cell size of the battery cells in the energy storage system under various scenarios and extract them. Schematically, this process is used to analyze which factors affect the cell size during the process of forming an energy storage system with battery cells, so as to obtain size constraint data and size influence parameters. In addition, the cell size of the battery cells can also be obtained. (2) Perform parametric modeling. Schematically, with the collected size constraint data, size influence parameters, and cell size, analyze the variation law of the cell size with the size influence parameters under the constraint of the size constraint data to achieve the process of parametric modeling and obtain a size generation model. (3) Write and debug the parametric drive algorithm. Schematically, after obtaining the size generation model, through the writing and debugging of the parametric drive algorithm, a size generation model with higher accuracy and in the form of a mathematical model is obtained, where the factors extracted in step (1) are used as the drive factors in the process of writing the parametric drive algorithm, that is, the independent variable parameters of the size generation model. (4) Check the robustness and accuracy of the model. Optionally, check the robustness and accuracy of the trained size generation model, such as inputting the pre-learned reference size constraint data and reference size influence parameters and outputting the predicted cell size of the battery cells. When the predicted cell size is the same as or close to the reference cell size during the learning process, it is considered to pass the model robustness and accuracy check. (5) Input the values of the drive factors into the control table, and the cell size, module size, battery box size, and battery cluster size that match the requirements can be quickly obtained through regeneration. Schematically, a control table constructed by the drive factors (size constraint data and size influence parameters) is obtained in advance, the corresponding values are input into the numerical filling column, the size generation model is started to perform the size regeneration process, and the battery cluster size, battery box size, module size, and cell size are obtained in sequence, so as to achieve the purpose of pre-designing the energy storage system. In the above process, the logic and algorithm for gradually inferring the component sizes downward (i.e., the size generation model) are obtained. By applying the size generation model, the optimal battery cluster size, battery box size, module size, and cell size can be inferred downward from the energy storage system, changing the conventional size transfer logic of the energy storage system (i.e., from down-top to top-down).

[0149] In addition, the above method can be used for the evaluation process of the optimal size and space of various energy storage products, and can also guide the detailed design of each system component. The applicable products include but are not limited to: container energy storage systems (standard size or non-standard size), energy storage outdoor cabinets (AC-DC integrated cabinets or pure DC energy storage outdoor cabinets), etc.

[0150] In addition, running a dimension generation model through fully parameterized software helps to greatly improve the collaboration efficiency (collaboration between different departments within an enterprise, as well as collaboration between the R & D department and external equipment manufacturers) and design efficiency, and significantly shorten the product development cycle. In addition, the above method achieves compatibility and common use in most application scenarios of the energy storage industry, such as energy storage systems with and without liquid cooling units, container energy storage systems using long battery boxes with single-side opening and short battery boxes with double-side opening, AC-DC integrated energy storage outdoor cabinets and pure DC energy storage outdoor cabinets, etc. In actual operation, only by inputting the values of the corresponding driving factors in a pre-given control table and regenerating, it is possible to pre-design the arrangement of system components at each level in the energy storage system before constructing the energy storage system. Schematically, as shown in Table 1, by inputting the parameter values corresponding to the parameter names in the control table, a system design diagram of the regenerated energy storage system can be obtained.

[0151] As Figure 6 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a standard 20-foot high-cube container energy storage system is obtained, and this energy storage system 610 has the effect of double-side opening and short battery box 620. As Figure 7 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a standard 20-foot high-cube container energy storage system is obtained, and this energy storage system 710 has the effect of single-side opening and long battery box 720. As Figure 8 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a standard 20-foot high-cube container energy storage system is obtained, and this energy storage system 810 has the effect of single-side opening and short blade battery cells grouped. As Figure 9 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a standard 20-foot high-cube container energy storage system is obtained, and this energy storage system 910 has the effect of single-side opening and without a liquid cooling unit. As Figure 10 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a non-standard high-cube container energy storage system is obtained, and this energy storage system 1010 has the effect of single-side opening and with a liquid cooling unit 1020. As Figure 11 shown, based on inputting the parameter values corresponding to each parameter name in Table 1, a pure DC energy storage outdoor cabinet composed of 8 battery boxes 1110 (not fully shown in the figure) is obtained.

[0152] In summary, overall analysis of the arrangement relationship of internal components in the system before constructing the energy storage system facilitates the targeted research and development of at least one component that meets the component size data through the dimension generation model, improves the component R & D efficiency and accuracy, thereby helping to improve the utilization rate of the constructed energy storage system, and further helping to expand the application scenarios of the energy storage system and enhance the energy storage level.

[0153] In an optional embodiment, the content of the energy storage system constructed based on the above-mentioned design method of the energy storage system is introduced. The energy storage system includes at least one component. Among them, the array arrangement relationship of at least one component in the energy storage system is determined based on the component size data of at least one component, and the component size data corresponding to at least one component is data determined by analyzing the size constraint data and the size influence parameters through a size generation model. Among them, the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimension of size. Schematically, the dimension of size is the analysis situation of the component from the perspective of the component size; in the design of the energy storage system, it is necessary to preset the size constraint data in advance to constrain the size situation in the construction process of the energy storage system.

[0154] Among them, the size influence parameter is a parameter that affects the spatial layout of the energy storage system; the size generation model is a trained mathematical model, and the size generation model learns the correlation relationship between the size constraint data, the size influence parameter and the size data of at least one component during the training process; the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimension of size, and the size influence parameter is a parameter that affects the spatial layout of the energy storage system.

[0155] In some embodiments, the energy storage system includes at least one component of the (i + 1)-th layer, and the component size data corresponding to the component of the (i + 1)-th layer is data determined by analyzing the component size data of the i-th layer component and the size influence parameters related to the component of the (i + 1)-th layer through a size generation model; the i-th layer component includes at least one component of the (i + 1)-th layer, and i is a positive integer.

[0156] In some embodiments, the energy storage system includes a component of the first layer, and the component size data corresponding to the component of the first layer is data determined by analyzing the size constraint data and the size influence parameters related to the component of the first layer through a size generation model.

[0157] In some embodiments, the component of the first layer corresponds to a first array arrangement relationship in the energy storage system. Among them, the first array arrangement relationship is determined based on the component size data corresponding to the component of the first layer and the size influence parameters related to the component of the first layer.

[0158] In some embodiments, at least one component of the (i + 1)-th layer corresponds to a second array arrangement relationship in the i-th layer component. Among them, the second array arrangement relationship is determined based on the component size data corresponding to the component of the (i + 1)-th layer and the size influence parameters related to the component of the (i + 1)-th layer; the array arrangement relationships in the energy storage system include the first array arrangement relationship and the second array arrangement relationship.

[0159] In some embodiments, the energy storage system includes a battery box, and the battery box corresponds to battery box size data, which is obtained by analyzing the system size constraint data and size influence parameters through a size generation model. The system size constraint data is used to constrain the overall size of the energy storage system.

[0160] In some embodiments, the energy storage system includes a battery module, and the battery module corresponds to module size data, which is obtained by analyzing the battery box size data and size influence parameters through a size generation model.

[0161] In some embodiments, the energy storage system includes battery cells, and the battery cells correspond to cell size data, which is obtained by analyzing the module size data and size influence parameters through a size generation model.

[0162] In some embodiments, a battery cluster corresponds to battery cluster size data, which is obtained by analyzing the system size constraint data and size influence parameters through a size generation model. The system size constraint data is used to constrain the overall size of the energy storage system; a battery box corresponds to battery box size data, which is obtained by analyzing the battery cluster size data and size influence parameters through a size generation model. The system size constraint data is used to constrain the overall size of the energy storage system; a battery module corresponds to module size data, which is obtained by analyzing the battery box size data and size influence parameters through a size generation model; battery cells correspond to cell size data, which is obtained by analyzing the module size data and size influence parameters through a size generation model. Schematically, taking the battery cluster as the first-layer component for constructing the energy storage system as an example, the system size constraint data and size influence parameters are analyzed through a size generation model to obtain the battery cluster size data corresponding to the battery cluster of the first layer when constructing the energy storage system; then, the battery box size data, module size data, and cell size data are obtained by referring to the above method.

[0163] In some embodiments, the size influence parameters include at least one of a battery cluster association parameter, a battery box association parameter, a module association parameter, a cell association parameter, and a temperature control parameter. Among them, the battery cluster association parameter is used to characterize the spatial information for deploying the battery cluster in the energy storage system; the battery box association parameter is used to characterize the spatial information for deploying the battery box in the energy storage system; the module association parameter is used to characterize the spatial information for deploying the battery module in the energy storage system; the cell association parameter is used to characterize the spatial information for deploying the battery cells in the energy storage system; the temperature control parameter is used to characterize the temperature limit information in the energy storage system.

[0164] It should be noted that the above energy storage system is only a schematic example, and the relevant content can be referred to the above embodiments, which will not be elaborated here.

[0165] Figure 12 is a structural block diagram of a design device for an energy storage system provided by an exemplary embodiment of the present application. As Figure 12 shown, the device includes the following parts: An acquisition module 1210, configured to acquire the dimensional constraint data and dimensional influence parameters of the energy storage system. The dimensional constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the dimensional dimension, and the dimensional influence parameter is a parameter that affects the spatial layout of the energy storage system; An analysis module 1220, configured to analyze the dimensional constraint data and the dimensional influence parameters through a dimension generation model to obtain component dimension data corresponding to at least one component in the energy storage system. The dimension generation model is a trained mathematical model, and the dimension generation model learns the association relationship between the dimensional constraint data, the dimensional influence parameters, and the dimension data of at least one component during the training process; A design module 1230, configured to obtain the array arrangement relationship of the at least one component in the energy storage system based on the component dimension data of the at least one component as the design result of the energy storage system.

[0166] In an optional embodiment, the analysis module 1220 is further configured to analyze the dimensional constraint data and the dimensional influence parameters through the dimension generation model, and layer by layer from large to small, obtain the component dimension data corresponding to multiple components in the energy storage system.

[0167] In an optional embodiment, the analysis module 1220 is further configured to analyze the dimensional constraint data and the dimensional influence parameters related to the components of the first layer through the dimension generation model to obtain the component dimension data corresponding to the components of the first layer in the energy storage system; analyze the component dimension data of the components of the i-th layer and the dimensional influence parameters related to the components of the (i + 1)-th layer through the dimension generation model to obtain the component dimension data corresponding to the components of the (i + 1)-th layer in the energy storage system; wherein, the components of the i-th layer include at least one of the components of the (i + 1)-th layer, and i is a positive integer.

[0168] In an optional embodiment, the design module 1230 is further configured to obtain the first array arrangement relationship of at least one component of the first layer in the energy storage system based on the component dimension data corresponding to the components of the first layer and the dimensional influence parameters related to the components of the first layer; obtain the second array arrangement relationship of at least one component of the (i + 1)-th layer in the components of the i-th layer based on the component dimension data corresponding to the components of the (i + 1)-th layer and the dimensional influence parameters related to the components of the (i + 1)-th layer; wherein, the design result of the energy storage system includes the first array arrangement relationship and the second array arrangement relationship.

[0169] In an optional embodiment, the size constraint data includes system size constraint data for constraining the overall size of the energy storage system; The analysis module 1220 is further configured to analyze the system size constraint data and the size influence parameters through the size generation model to obtain battery cluster size data corresponding to the battery clusters in the energy storage system, where the battery clusters are components of the first layer for constructing the energy storage system; analyze the battery cluster size data and the size influence parameters through the size generation model to obtain battery box size data corresponding to the battery boxes in the energy storage system, where the battery boxes are components of the second layer for constructing the battery clusters in the energy storage system; analyze the battery box size data and the size influence parameters through the size generation model to obtain module size data corresponding to the battery modules in the energy storage system, where the battery modules are components of the third layer for constructing the battery boxes in the energy storage system; analyze the module size data and the size influence parameters through the size generation model to obtain cell size data corresponding to the battery cells in the energy storage system, where the battery cells are components of the fourth layer for constructing the battery modules in the energy storage system.

[0170] In an optional embodiment, the size constraint data includes battery cluster size constraint data for constraining the battery cluster size in the energy storage system; The analysis module 1220 is further configured to analyze the battery cluster size constraint data and the size influence parameters through the size generation model to obtain battery box size data corresponding to the battery boxes in the energy storage system; analyze the battery box size data and the size influence parameters through the size generation model to obtain module size data corresponding to the battery modules in the energy storage system; analyze the module size data and the size influence parameters through the size generation model to obtain cell size data corresponding to the battery cells in the energy storage system; The design module 1230 is further configured to, based on the cell size data, obtain the array arrangement relationship of the battery cells in the battery cluster as the battery cluster design result corresponding to the battery cluster; obtain the battery cluster arrangement relationship obtained by arranging at least one battery cluster conforming to the battery cluster design result as the design result of the energy storage system.

[0171] In an optional embodiment, the design module 1230 is further configured to obtain system size constraint data for constraining the overall size of the energy storage system; under the constraint of the system size constraint data, obtain the battery cluster arrangement relationship obtained by arranging at least one battery cluster conforming to the battery cluster design result as the design result of the energy storage system.

[0172] In an alternative embodiment, the design module 1230 is further configured to obtain, based on the component size data of the at least one component, the array arrangement relationship of the at least one component in the energy storage system under the condition that the size influence parameters are met, as the design result of the energy storage system.

[0173] In an alternative embodiment, the size influence parameters include at least one of a battery cluster association parameter, a battery box association parameter, a module association parameter, a battery cell association parameter, and a temperature control parameter; The battery cluster association parameter is used to characterize the spatial information of deploying a battery cluster inside the energy storage system; The battery box association parameter is used to characterize the spatial information of deploying a battery box inside the energy storage system; The module association parameter is used to characterize the spatial information of deploying a battery module inside the energy storage system; The battery cell association parameter is used to characterize the spatial information of deploying a battery cell inside the energy storage system; The temperature control parameter is used to characterize the temperature limit information inside the energy storage system.

[0174] In an alternative embodiment, when the design module 1230 obtains the battery cluster size data corresponding to the battery cluster in the energy storage system through the size generation model, it is further configured to obtain the battery cluster arrangement relationship of the battery cluster in the energy storage system based on the battery cluster size data and the battery cluster association parameter, where the size influence parameters include the battery cluster association parameter; when obtaining the battery box size data corresponding to the battery box in the energy storage system through the size generation model, it is configured to obtain the battery box arrangement relationship of the battery box in the battery cluster based on the battery box size data and the battery box association parameter, where the size influence parameters include the battery box association parameter; when obtaining the module size data corresponding to the battery module in the energy storage system through the size generation model, it is configured to obtain the module arrangement relationship of the battery module in the battery box based on the module size data and the module association parameter, where the size influence parameters include the module association parameter; when obtaining the cell size data corresponding to the battery cell in the energy storage system through the size generation model, it is configured to obtain the cell arrangement relationship of the battery cell in the battery module based on the cell size data and the cell association parameter, where the size influence parameters include the cell association parameter; based on the temperature control parameter, obtain the third array arrangement relationship of the temperature control component in the energy storage system, where the size influence parameters include the temperature control parameter; based on the battery cluster arrangement relationship, the battery box arrangement relationship, the module arrangement relationship, the cell arrangement relationship, and the third array arrangement relationship, obtain the design result of the battery cluster, the battery box, the battery module, the battery cell, and the temperature control component in the energy storage system.

[0175] In an alternative embodiment, as Figure 13 shown, the device further includes: A training module 1240, configured to obtain reference component dimension data, where the reference component dimension data is the dimensions of at least one system component collected, and the system component is a component for constructing a first energy storage system; obtain reference dimension constraint data and reference dimension influence parameters corresponding to the reference component dimension data; under the constraint of the reference dimension constraint data, analyze the law of change of the reference component dimension data along with the reference dimension influence parameters, and model to obtain the dimension generation model.

[0176] In an alternative embodiment, the training module 1240 is further configured to collect historical component dimension data corresponding to historical energy storage systems constructed during a historical time period; perform a spatial deployment test on the historical component dimension data, and screen out the historical component dimension data whose test results meet the test conditions from the multiple historical component dimension data as the reference component dimension data; the spatial deployment test is used to analyze the spatial distribution of historical system components in the historical energy storage system, and the test conditions are used to characterize that the spatial distribution density of the historical system components in the historical energy storage system reaches a density threshold.

[0177] In an alternative embodiment, the training module 1240 is further configured to determine the historical energy storage system corresponding to the reference component dimension data as the first energy storage system; obtain the reference dimension constraint data and reference dimension influence parameters used when constructing the first energy storage system.

[0178] It should be noted that: for the design device of the energy storage system provided in the above embodiment, only the above-mentioned division of each functional module is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the design device of the energy storage system provided in the above embodiment and the embodiment of the design method of the energy storage system belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be elaborated here.

[0179] Figure 14The structural schematic diagram of a server provided by an exemplary embodiment of the present application is shown. Specifically, it includes the following structure. Server 1400 includes a Central Processing Unit (CPU) 1401, a system memory 1404 including a Random Access Memory (RAM) 1402 and a Read Only Memory (ROM) 1403, and a system bus 1405 connecting the system memory 1404 and the central processing unit 1401. Server 1400 also includes a mass storage device 1406 for storing an operating system 1413, application programs 1414, and other program modules 1415. The mass storage device 1406 is connected to the central processing unit 1401 through a mass storage controller (not shown) connected to the system bus 1405. The mass storage device 1406 and its associated computer-readable medium provide non-volatile storage for server 1400. The above-mentioned system memory 1404 and mass storage device 1406 can be collectively referred to as the memory. According to various embodiments of the present application, server 1400 can also run by connecting to a remote computer on the network such as the Internet. That is, server 1400 can be connected to network 1412 through a network interface unit 1411 connected to the system bus 1405, or the network interface unit 1411 can also be used to connect to other types of networks or remote computer systems (not shown). The above-mentioned memory also includes one or more programs, and one or more programs are stored in the memory and configured to be executed by the CPU. Optionally, the computer-readable storage medium may include: Read Only Memory (ROM), Random Access Memory (RAM), Solid State Drives (SSD), or optical discs, etc. Among them, the random access memory may include Resistance Random Access Memory (ReRAM) and Dynamic Random Access Memory (DRAM). The serial numbers of the embodiments of the present application above are only for description and do not represent the advantages and disadvantages of the embodiments.

Claims

1. A design method for an energy storage system, characterized in that: The method comprises: Acquire size constraint data and size influencing parameters of the energy storage system, wherein the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from a size dimension, and the size influencing parameters are parameters that affect the spatial layout of the energy storage system; Analyzing the size constraint data and the size influencing parameters through a size generation model to obtain component size data corresponding to at least one component in the energy storage system, wherein the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influencing parameters and the size data of at least one component during the training process; Based on the component size data of the at least one component, an array arrangement relationship of the at least one component in the energy storage system is obtained as a design result of the energy storage system.

2. The method according to claim 1, characterized in that The step of analyzing the size constraint data and the size influencing parameters by means of a size generation model to obtain component size data corresponding to at least one component in the energy storage system includes: The size constraint data and the size influencing parameters are analyzed by the size generation model, and component size data corresponding to the multiple components in the energy storage system are obtained layer by layer from large to small.

3. The method according to claim 2, characterized in that The analyzing the size constraint data and the size influencing parameters by the size generation model to obtain component size data corresponding to the multiple components in the energy storage system layer by layer from large to small includes: Analyzing the size constraint data and the size influencing parameters related to the first-layer components through the size generation model to obtain component size data corresponding to the first-layer components in the energy storage system; The component size data of the i-th layer components and the size influencing parameters related to the i+1-th layer components are analyzed by the size generation model to obtain the component size data corresponding to the i+1-th layer components in the energy storage system; wherein the i-th layer components include at least one i+1-th layer component, and i is a positive integer.

4. The method according to claim 3, characterized in that The acquiring, based on the component size data of the at least one component, an array arrangement relationship of the at least one component in the energy storage system as a design result of the energy storage system includes: Based on the component size data corresponding to the first-layer components and the size influencing parameters related to the first-layer components, obtaining a first array arrangement relationship of at least one first-layer component in the energy storage system; Based on the component size data corresponding to the i+1th layer component and the size influencing parameters related to the i+1th layer component, a second array arrangement relationship of at least one i+1th layer component in the i-th layer component is obtained; and the design result of the energy storage system includes the first array arrangement relationship and the second array arrangement relationship.

5. The method according to any one of claims 1 to 4, characterized in that: The size constraint data includes system size constraint data for constraining the overall size of the energy storage system; The step of analyzing the size constraint data and the size influencing parameters by means of a size generation model to obtain component size data corresponding to at least one component in the energy storage system includes: Analyzing the system size constraint data and the size influencing parameters by the size generation model to obtain battery cluster size data corresponding to a battery cluster in the energy storage system, wherein the battery cluster is a component of the first layer of the energy storage system; Analyze the battery cluster size data and the size influencing parameters through the size generation model to obtain battery box size data corresponding to the battery box in the energy storage system, wherein the battery box is a component of the second layer of the battery cluster in the energy storage system; Analyze the battery box size data and the size influencing parameters through the size generation model to obtain module size data corresponding to the battery module in the energy storage system, wherein the battery module is a component of the third layer of the battery box in the energy storage system; The module size data and the size influencing parameters are analyzed by the size generation model to obtain the cell size data corresponding to the battery cell in the energy storage system, wherein the battery cell is a component of the fourth layer of the battery module in the energy storage system.

6. The method according to claim 1, characterized in that The size constraint data includes battery cluster size constraint data for constraining the size of a battery cluster in the energy storage system; The step of analyzing the size constraint data and the size influencing parameters by means of a size generation model to obtain component size data corresponding to at least one component in the energy storage system includes: Analyzing the battery cluster size constraint data and the size influencing parameters through the size generation model to obtain battery box size data corresponding to the battery box in the energy storage system; analyzing the battery box size data and the size influencing parameters through the size generation model to obtain module size data corresponding to the battery module in the energy storage system; analyzing the module size data and the size influencing parameters through the size generation model to obtain cell size data corresponding to the battery cell in the energy storage system; The acquiring, based on the component size data of the at least one component, an array arrangement relationship of the at least one component in the energy storage system as a design result of the energy storage system includes: Based on the battery cell size data, an array arrangement relationship of the battery cells in the battery cluster is obtained as a battery cluster design result corresponding to the battery cluster; and a battery cluster arrangement relationship obtained by at least one battery cluster arrangement that conforms to the battery cluster design result is obtained as the design result of the energy storage system.

7. The method according to claim 6, characterized in that The obtaining, as the design result of the energy storage system, a battery cluster arrangement relationship obtained by at least one battery cluster arrangement conforming to the battery cluster design result, includes: Acquiring system size constraint data for constraining the overall size of the energy storage system; Under the constraint of the system size constraint data, a battery cluster arrangement relationship obtained by at least one battery cluster arrangement that meets the battery cluster design result is obtained as the design result of the energy storage system.

8. The method according to any one of claims 1 to 4, characterized in that: The acquiring, based on the component size data of the at least one component, an array arrangement relationship of the at least one component in the energy storage system as a design result of the energy storage system includes: Based on the component size data of the at least one component, the array arrangement relationship of the at least one component in the energy storage system is obtained under the condition of meeting the size influencing parameter as a design result of the energy storage system.

9. The method according to any one of claims 1 to 4, characterized in that: The size influencing parameters include at least one of battery cluster related parameters, battery box related parameters, module related parameters, battery cell related parameters, and temperature control parameters; The battery cluster associated parameters are used to characterize the spatial information of deploying the battery cluster in the energy storage system; The battery box associated parameters are used to characterize the spatial information of deploying the battery boxes in the energy storage system; The module-associated parameters are used to characterize the spatial information of the battery modules deployed in the energy storage system; The cell-related parameters are used to characterize the spatial information of deploying battery cells in the energy storage system; The temperature control parameter is used to characterize the temperature limit information in the energy storage system.

10. The method according to claim 9, characterized in that The acquiring, based on the component size data of the at least one component, an array arrangement relationship of the at least one component in the energy storage system as a design result of the energy storage system includes: In the case where the battery cluster size data corresponding to the battery cluster in the energy storage system is obtained by the size generation model, a battery cluster arrangement relationship of the battery cluster in the energy storage system is obtained based on the battery cluster size data and the battery cluster associated parameters, wherein the size influencing parameters include the battery cluster associated parameters; In the case where the battery box size data corresponding to the battery box in the energy storage system is obtained through the size generation model, the battery box arrangement relationship of the battery box in the battery cluster is obtained based on the battery box size data and the battery box associated parameters, and the size influencing parameters include the battery box associated parameters; In the case where the module size data corresponding to the battery module in the energy storage system is obtained through the size generation model, the module arrangement relationship of the battery module in the battery box is obtained based on the module size data and the module association parameters, and the size influencing parameters include the module association parameters; In the case where the cell size data corresponding to the battery cells in the energy storage system is obtained through the size generation model, the cell arrangement relationship of the battery cells in the battery module is obtained based on the cell size data and the cell associated parameters, and the size influencing parameters include the cell associated parameters; Based on the temperature control parameters, obtaining a third array arrangement relationship of the temperature control components in the energy storage system, wherein the size influencing parameters include the temperature control parameters; Based on the battery cluster arrangement relationship, the battery box arrangement relationship, the module arrangement relationship, the battery cell arrangement relationship and the third array arrangement relationship, the design results of the battery cluster, the battery box, the battery module, the battery cell and the temperature control component in the energy storage system are obtained.

11. The method according to any one of claims 1 to 4, characterized in that: Before analyzing the dimension constraint data and the dimension influencing parameters by using the dimension generation model, the method further includes: Acquire reference component size data, where the reference component size data is the size of at least one system component collected, and the system component is a component for constructing the first energy storage system; Acquire reference dimension constraint data and reference dimension influencing parameters corresponding to the reference component dimension data; Under the constraint of the reference dimension constraint data, the law of the change of the reference component dimension data along with the reference dimension influencing parameter is analyzed, and the dimension generation model is obtained by modeling.

12. The method according to claim 11, characterized in that The step of obtaining reference component dimension data includes: Collect historical component size data corresponding to historical energy storage systems constructed during historical time periods; Performing a spatial deployment test on the historical component size data, and selecting historical component size data whose test results meet the test conditions from multiple historical component size data as the reference component size data; The spatial deployment test is used to analyze the spatial distribution of historical system components in the historical energy storage system, and the test condition is used to characterize that the spatial distribution density of the historical system components in the historical energy storage system reaches a density threshold.

13. The method according to claim 11, characterized in that The obtaining of reference dimension constraint data and reference dimension influencing parameters corresponding to the reference component dimension data includes: Determine a historical energy storage system corresponding to the reference component size data as the first energy storage system; The reference dimension constraint data and reference dimension influencing parameters used when constructing the first energy storage system are obtained.

14. An energy storage system, characterized in that: The system comprises: At least one component, wherein an array arrangement relationship of the at least one component in the energy storage system is determined based on component size data of the at least one component, and the component size data corresponding to the at least one component is data determined by analyzing size constraint data and size influencing parameters by a size generation model; Among them, the size generation model is a mathematical model obtained through training, and the size generation model learns the association between the size constraint data, the size influencing parameters and the size data of at least one component during the training process; the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from the size dimension, and the size influencing parameters are parameters that affect the spatial layout of the energy storage system.

15. The system according to claim 14, characterized in that The system comprises: at least one i+1th layer component, wherein the component size data corresponding to the i+1th layer component is data determined by analyzing the component size data of the i-th layer component and the size influencing parameters related to the i+1th layer component by the size generation model; the i-th layer component includes at least one of the i+1th layer components, and i is a positive integer; The component size data corresponding to the first layer component is data determined by analyzing the size constraint data and the size influencing parameters related to the first layer component by the size generation model.

16. The system according to claim 15, characterized in that The first layer of components corresponds to a first array arrangement relationship in the energy storage system, and the first array arrangement relationship is determined based on component size data corresponding to the first layer of components and size influence parameters related to the first layer of components; The at least one i+1th layer component corresponds to a second array arrangement relationship in the i-th layer component, and the second array arrangement relationship is determined based on the component size data corresponding to the i+1th layer component and the size influence parameter related to the i+1th layer component; The array arrangement relationship in the energy storage system includes the first array arrangement relationship and the second array arrangement relationship.

17. The system according to any one of claims 14 to 16, characterized in that: The system comprises: A battery box, the battery box corresponding to battery box size data, the battery box size data is obtained by analyzing system size constraint data and the size influencing parameters by the size generation model, and the system size constraint data is used to constrain the overall size of the energy storage system; A battery module, wherein the battery module corresponds to module size data, and the module size data is obtained by analyzing the battery box size data and the size influencing parameters by the size generation model; A battery cell, wherein the battery cell corresponds to cell size data, and the cell size data is obtained by analyzing the module size data and the size influencing parameters through the size generation model.

18. The system according to any one of claims 14 to 16, characterized in that: The system comprises: A battery cluster, the battery cluster corresponding to battery cluster size data, the battery cluster size data is obtained by analyzing system size constraint data and the size influencing parameters by the size generation model, and the system size constraint data is used to constrain the overall size of the energy storage system; A battery box, the battery box corresponds to battery box size data, the battery box size data is obtained by analyzing the battery cluster size data and the size influencing parameters by the size generation model, and the system size constraint data is used to constrain the overall size of the energy storage system; A battery module, wherein the battery module corresponds to module size data, and the module size data is obtained by analyzing the battery box size data and the size influencing parameters by the size generation model; A battery cell, wherein the battery cell corresponds to cell size data, and the cell size data is obtained by analyzing the module size data and the size influencing parameters through the size generation model.

19. The system according to any one of claims 14 to 16, characterized in that: The size influencing parameters include at least one of battery cluster related parameters, battery box related parameters, module related parameters, battery cell related parameters, and temperature control parameters; The battery cluster associated parameters are used to characterize the spatial information of deploying the battery cluster in the energy storage system; The battery box associated parameters are used to characterize the spatial information of deploying the battery boxes in the energy storage system; The module-associated parameters are used to characterize the spatial information of the battery modules deployed in the energy storage system; The cell-related parameters are used to characterize the spatial information of deploying battery cells in the energy storage system; The temperature control parameter is used to characterize the temperature limit information in the energy storage system.

20. A design device for an energy storage system, characterized in that: The device comprises: An acquisition module, used to acquire size constraint data and size influencing parameters of the energy storage system, wherein the size constraint data is used to constrain the array arrangement of at least one component in the energy storage system from a size dimension, and the size influencing parameters are parameters that affect the spatial layout of the energy storage system; an analysis module, configured to analyze the size constraint data and the size influencing parameters through a size generation model to obtain component size data corresponding to at least one component in the energy storage system, wherein the size generation model is a trained mathematical model, and the size generation model learns the association relationship between the size constraint data, the size influencing parameters and the size data of at least one component during a training process; The design module is used to obtain the array arrangement relationship of the at least one component in the energy storage system based on the component size data of the at least one component as a design result of the energy storage system.

21. A computer device, characterized in that: The computer device includes a processor and a memory, wherein the memory stores at least one program, and the at least one program is loaded and executed by the processor to implement the design method of the energy storage system as described in any one of claims 1 to 13.

22. A computer-readable storage medium, characterized in that: The storage medium stores at least one program, and the at least one program is loaded and executed by the processor to implement the design method of the energy storage system as described in any one of claims 1 to 13.

23. A computer program product, characterized in that It comprises computer instructions, which, when executed by a processor, implement the design method of the energy storage system as described in any one of claims 1 to 13.

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