Modular integration method, system and electronic device for lithium battery energy storage system

Abstract

The application discloses a lithium battery energy storage system modular integration method, system and electronic equipment, relates to the technical field of lithium battery, and the method comprises the following steps: analyzing the structural characteristics of a lithium battery energy storage module; performing integration superposition position and connection topology structure analysis according to the structural characteristics, establishing a correlation topology graph; based on the topology graph structure, performing topology reconstruction search on a target integration module, a scene use target and a maintenance task, and establishing an evaluation model; and optimizing the topology reconstruction by using the evaluation model to determine a module integration scheme. The application solves the technical problem that the connection topology structure between modules in the lithium battery energy storage system modular integration process is poor in adaptability to actual use scenes and maintenance requirements, resulting in low flexibility of the integration scheme and low maintenance efficiency, achieves efficient adaptation of the modular integration scheme through correlation topology analysis and evaluation optimization, improves the integration efficiency and reliability of the lithium battery energy storage system, and reduces the maintenance cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lithium battery, in particular to a lithium battery energy storage system modular integration method, system and electronic device. BACKGROUND

[0002] Lithium battery energy storage systems play an important role in modern energy fields, especially in the storage of renewable energy and the balance of power supply. With the popularity of electric vehicles and renewable energy applications, lithium battery energy storage systems have gradually become a key energy storage solution. However, as the system scale continues to expand and the application scenarios diversify, how to efficiently and flexibly integrate lithium battery modules to ensure their stability, reliability and economy has become a core challenge for technological development. In traditional lithium battery energy storage systems, the connection topology between modules is often designed based on human experience, which is difficult to dynamically adapt to different application scenarios (such as high power demand, narrow installation space) and maintenance tasks (such as quick replacement of faulty modules). At the same time, the physical structural characteristics (such as heat dissipation channel layout, interface standardization degree) and functional structural characteristics (such as voltage consistency, SOC state difference) of the modules are not systematically quantitatively correlated, which leads to uneven heat field distribution, increased current conduction loss and other safety hazards when the modules are stacked. SUMMARY

[0003] The present application provides a lithium battery energy storage system modular integration method, system and electronic device, which solves the technical problem of poor adaptability of the connection topology structure between modules in the modular integration process of the lithium battery energy storage system to the actual use scenarios and maintenance requirements, resulting in low flexibility of the integration scheme and low maintenance efficiency, achieves efficient adaptation of the modular integration scheme through correlation topology analysis and evaluation optimization, improves the integration efficiency and reliability of the lithium battery energy storage system, and reduces the maintenance cost.

[0004] The present application provides a lithium battery energy storage system modular integration method, which comprises: analyzing the structural characteristics of a lithium battery energy storage module; performing correlation analysis of the integration stacking position, the integration connection topology structure, and establishing a correlation topology graph structure according to the structural characteristics; based on the correlation topology graph structure, performing topology reconstruction search on the target integration module, the scene use target and the maintenance task, and establishing an evaluation model using the target integration module, the scene use target and the maintenance task; using the evaluation model to evaluate and optimize the topology reconstruction relationship, and determining the module integration scheme.

[0005] The application also provides a lithium battery energy storage system modular integration system, comprising: a structure analysis unit: analyzing the structural characteristics of a lithium battery energy storage module; a correlation analysis unit: performing correlation analysis on the integrated superposition position and the integrated connection topology structure according to the structural characteristics, and establishing a correlation topology graph structure; a topology reconstruction search unit: based on the correlation topology graph structure, performing topology reconstruction search on a target integrated module, a scene use target and a maintenance task, and establishing an evaluation model by using the target integrated module, the scene use target and the maintenance task; and an evaluation optimization unit: performing evaluation optimization on the topology reconstruction relationship by using the evaluation model, and determining a module integration scheme.

[0006] The application also provides an electronic device, comprising:

[0007] The memory is configured to store executable instructions, and the processor is configured to execute the executable instructions stored in the memory to implement the lithium battery energy storage system modular integration method.

[0008] The lithium battery energy storage system modular integration method, system and electronic device provided by the application can analyze the structural characteristics of a lithium battery energy storage module, perform correlation analysis on the integrated superposition position and the integrated connection topology structure according to the structural characteristics, establish a correlation topology graph structure, perform topology reconstruction search on a target integrated module, a scene use target and a maintenance task based on the correlation topology graph structure, establish an evaluation model by using the target integrated module, the scene use target and the maintenance task, perform evaluation optimization on the topology reconstruction relationship by using the evaluation model, and determine a module integration scheme. The technical problem of low flexibility of the integration scheme and low maintenance efficiency caused by poor adaptability of the connection topology structure between modules to actual use scenarios and maintenance requirements in the lithium battery energy storage system modular integration process is solved, the efficient adaptation of the modular integration scheme is achieved through correlation topology analysis and evaluation optimization, the integration efficiency and reliability of the lithium battery energy storage system are improved, and the maintenance cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments of the present application will be briefly introduced below. In the present application, a flowchart is used to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, various steps can be processed in reverse order or simultaneously as needed. Meanwhile, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0010] Figure 1 The lithium battery energy storage system modular integration method provided by the embodiments of the present application is shown in the flowchart.

[0011] Figure 2A structural schematic diagram of a lithium battery energy storage system modular integrated system provided by an embodiment of the present application.

[0012] Figure 3 A structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0013] Explanation of reference signs: structural analysis unit 11, correlation analysis unit 12, topology reconstruction search unit 13, evaluation optimization unit 14, memory 21, processor 22, input system 23, output system 24. DETAILED DESCRIPTION

[0014] The above description is only a summary of the technical solutions of the present application, in order to enable the technical means of the present application to be more clearly understood, and can be implemented according to the content of the specification, and in order to enable the above and other purposes, features and advantages of the present application to be more obvious and easy to understand, the following specific embodiments of the present application are described.

[0015] In order to make the purposes, technical solutions and advantages of the present application more clear, the following will combine the drawings to make a further detailed description of the present application, the described embodiments should not be regarded as limiting the present application, all other embodiments obtained by the person skilled in the art without making creative labor belong to the scope of protection of the present application.

[0016] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict, the term "first\second" involved only distinguishes similar objects, and does not represent the specific order of the objects. The terms "include" and "have" and any variations, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices, unless otherwise defined, all technical and scientific terms used in this paper have the same meaning as understood by the person skilled in the art belonging to the technical field of the present application. The terms used in this paper are only for the purpose of describing the embodiments of the present application.

[0017] The embodiments of the present application provide a lithium battery energy storage system modular integration method, as shown in the following Figure 1 The method comprises the following steps:

[0018] Analyzing the structural characteristics of the lithium battery energy storage module.

[0019] Specifically, the structure of the lithium battery energy storage module mainly includes two aspects of physical composition and functional structure. The physical composition refers to each hardware component inside the module, and the functional structure refers to the cooperative working mode of each component in the module. By analyzing the interaction relationship of each component in the physical composition and the functional structure, for example, the working state of the battery monomer can affect the control strategy of the battery management system (BMS), and the efficiency of the thermal management system is closely related to the temperature of the battery. By analyzing the interaction relationship of each component, the structural characteristics of the lithium battery energy storage module can be determined to provide necessary data support for module integration and ensure efficient and stable operation of the integrated lithium battery energy storage system.

[0020] Further, analyzing the structural characteristics of the lithium battery energy storage module includes:

[0021] Analyzing the physical composition and functional structure of the lithium battery energy storage module, and analyzing the interaction relationship of each component according to the physical composition and functional structure to determine the structural characteristics, the structural characteristics including physical structure characteristics and functional structure characteristics, wherein the structural characteristics include dependent linkage relationship, interaction coupling relationship, and disturbance repulsion relationship.

[0022] Preferably, according to the design document of the lithium battery energy storage module, the physical composition and functional structure of the lithium battery energy storage module are analyzed. For the physical composition, the hardware parts of the lithium battery energy storage module are disassembled to understand the hardware composition of the lithium battery energy storage module design, such as battery monomer, protection circuit, battery management system, cooling system, wiring terminal, shell and support frame, etc. The specific function, size, shape, weight and connection of each component will be recorded in detail. For the functional structure, the function of each component is analyzed from the design document, for example, the battery management system is responsible for monitoring the battery capacity, temperature and voltage to ensure the safe operation of the battery; the cooling system ensures that the battery is not overheated during charging and discharging, thereby protecting the service life of the battery; the wiring terminal is used for the connection between the battery module and the external device to ensure the stable output of energy. By understanding the function of each component, we can know how they work together to complete the core function of the battery module. After completing the analysis of the physical composition and functional structure, the interaction relationship of the physical composition is analyzed according to the design document and historical experience. By judging whether the implementation of a component depends on the physical parameters of another component, the dependent linkage relationship is determined, for example, the mechanical frame design of the shell structure depends on the size of the battery monomer (such as square cell needs to match the corresponding size of the card slot to avoid displacement when vibrating), and the flow channel layout of the liquid cooling plate depends on the arrangement of the battery monomer (such as the battery monomer arranged in matrix, the flow channel needs to cover the surface of all battery monomers to ensure uniform temperature). By judging whether the function implementation of a component will have a negative impact on another component, the disturbance repulsion relationship is determined, for example, the temperature rise of the battery monomer may cause the overheat protection of the protection circuit to start, affecting the charging and discharging strategy of the battery; the swelling effect in the charging and discharging cycle of the battery monomer and the mechanical constraint of the shell structure exist repulsion (the volume change of the battery monomer may squeeze the thermal management unit, causing the heat dissipation channel to be blocked). The physical composition level relationship obtained by analysis is summarized to construct the physical structure characteristics, and the constructed physical structure characteristics are added to the structure characteristic set. Then, the interaction relationship of the functional structure is analyzed. By judging whether the function implementation of a component needs to depend on the data provided by another component, the dependent linkage relationship is determined, for example, the equalization control strategy of the battery management system usually needs to link the cooling efficiency provided by the cooling system to reduce the charging and discharging power to avoid thermal runaway; the opening of the cooling system is closely related to the overall temperature of the battery module. By judging whether the function implementation of a component needs to be optimized with the parameters of another component, the interaction coupling relationship is determined, for example, the SOC estimation accuracy of the battery management system is coupled with the contact resistance of the electrical connection (the rise of the contact resistance will cause the BMS to misjudge the monomer voltage, thereby reducing the SOC estimation accuracy); the battery management system needs to monitor the battery monomer capacity, voltage, temperature and other information in real time, which needs to exchange data with the battery monomer, cooling system, etc.By summarizing the functional structure level relationship obtained by analysis, the functional structure characteristics are constructed, and the constructed functional structure characteristics are added to the structure characteristic set, thereby providing necessary basis for subsequent integration optimization and topology design.

[0023] According to the structure characteristics, the integration superposition position and the integration connection topology structure correlation are analyzed, and the associated topology graph structure is established.

[0024] Specifically, according to the structure characteristics of the lithium battery energy storage module, firstly, each integration surface of the lithium battery energy storage module is analyzed, the size, shape and relative position of each integration surface and other components are analyzed, the superposition constraint distance, superposition response relationship and superposition influence degree between them are determined, wherein the superposition constraint distance mainly refers to the physical space requirement between different integration surfaces, to ensure that collision or interference does not occur between parts during integration; the superposition response relationship analyzes the reaction or influence of other components when a component changes; the superposition influence degree represents the influence degree of a certain integration surface on the performance of the lithium battery energy storage system. Then, based on the superposition analysis results, the bidirectional superposition evaluation of the integration surface is carried out, the topology connection relationship between each integration surface is obtained, and a complete associated topology graph structure is constructed by traversing the topology connection relationship between all integration surfaces, to show how each component is connected and dependent in space and function, thereby providing guidance and optimization basis for subsequent module integration.

[0025] Further, according to the structure characteristics, the integration superposition position and the integration connection topology structure correlation are analyzed, and the associated topology graph structure is established, including:

[0026] According to the structure characteristics, the integration surface of the module is analyzed, the superposition constraint distance, superposition response relationship and superposition influence degree of each integration surface are determined; based on the superposition constraint distance, superposition response relationship and superposition influence degree of each integration surface, the bidirectional superposition evaluation of the integration surface is carried out, the topology connection relationship is obtained, including the energy efficiency evaluation relationship and the heat dissipation evaluation relationship; the topology connection relationship of all integration surfaces is traversed, and the associated topology graph structure is established.

[0027] Optionally, first, the superposition analysis is performed on each integrated surface in the module. The integrated surface refers to the contact surface or connecting surface between each module component and other parts. Each component can have multiple integrated surfaces, and each integrated surface can involve different functions, such as electrical connection, heat exchange, mechanical support, etc. During the superposition analysis, the minimum safety distance between each integrated surface is determined according to the physical structure characteristics in the structural characteristics, and the determined minimum safety distance of each integrated surface is taken as the superposition constraint distance. In general, the integrated surface between the battery monomer and the shell needs to reserve the expansion space, and the constraint distance is 5% of the thickness of the battery cell (e.g., if the thickness of the battery cell is 10 mm, the distance is ≥0.5 mm). The integrated surface between the electrical connecting piece (such as busbar) and the adjacent module needs to meet the insulation requirement, and the constraint distance is the creepage distance corresponding to the withstand voltage level of the insulating material (e.g., when the withstand voltage is 500 V, the distance is ≥5 mm). It is determined which integrated surfaces have direct physical or functional influence according to the structural characteristics, for example, the change of the battery monomer's electric quantity will affect the monitoring parameters of the BMS, and the temperature change of the cooling system may affect the temperature of the battery monomer. Then, the interaction mode between these integrated surfaces that have influence is determined, including the transmission and influence of factors such as heat, current, and voltage. For example, when the battery monomer discharges, the temperature of the cooling system may rise, which will cause the change of the cooling system's output power, further affecting the heat dissipation efficiency of the battery monomer. Subsequently, the interaction response between these integrated surfaces is simulated using simulation software combined with the interaction mode obtained from the analysis, for example, the influence of the battery monomer's temperature change on the surrounding integrated surfaces is calculated by thermal simulation, and the influence of the battery management system's control strategy on the battery monomer's power output is simulated by electrical simulation. Then, according to the simulation results, a superposition response relationship is established for the interaction between each pair of integrated surfaces. This superposition response relationship describes how another integrated surface changes when a certain integrated surface parameter changes, for example, when the temperature of the battery monomer rises, the cooling capacity of the cooling system will show a decreasing trend. In addition, during the simulation, the vibration frequency, temperature, SOC error, electromagnetic interference intensity, etc. of each integrated surface are recorded. By dividing these index data by the corresponding safety threshold, and then performing weighted calculation on the division results, the superposition influence degree of each integrated surface is obtained. Then, according to the superposition constraint distance, superposition response relationship, and superposition influence degree of each integrated surface, the superposition evaluation is performed from the aspects of energy efficiency and heat dissipation. In terms of energy efficiency, the transmission efficiency of each pair of integrated surfaces is calculated according to the electrical parameters and contact resistance data, and the energy efficiency of the connection node between the modules is obtained. In terms of heat dissipation, the heat exchange efficiency between the integrated surfaces is calculated by analyzing factors such as heat conduction, heat dissipation area, and thermal resistance. After completing the bidirectional superposition evaluation of the integrated surfaces, the energy efficiency and heat dissipation evaluation relationship between the integrated surfaces is traversed, and multiple connection relationships are extracted with the goal of satisfying the threshold of the energy efficiency and heat dissipation of the majority of connections.Then, the integrated surface is taken as a node, the connection relationship is taken as an edge between nodes, the physical characteristics and functional characteristics corresponding to the integrated surface are marked on the node, and the superposition constraint, response relationship and influence degree between the integrated surfaces are marked on the edge, so as to construct an associated topological graph structure. The associated topological graph structure reflects the cooperative working relationship between the integrated surfaces, including the layout in space, the connection in function and the influence on the overall system performance. Through the associated topological graph structure, the working mode of the integrated module can be more intuitively understood, and support can be provided for further integration optimization, so as to improve the stability and reliability of the lithium battery energy storage system.

[0028] Based on the associated topological graph structure, the target integrated module, the scene use target and the maintenance task are topologically reconstructed and searched, and an evaluation model is established by using the target integrated module, the scene use target and the maintenance task.

[0029] Specifically, after the associated topological graph structure is constructed, first, the target integrated module, the scene use target and the maintenance task are topologically reconstructed and searched. In this process, the energy storage capacity and the spatial volume of the target integrated module determine the physical layout of the module. By analyzing these parameters, a primary topology can be found for the lithium battery energy storage system. After the preliminary reconstruction, the environmental constraint conditions of the scene are extracted based on the scene use target, and the primary topology is adjusted according to these scene parameters, so as to obtain a secondary topology. Subsequently, under the premise of considering the maintenance task, the related maintenance constraint parameters are extracted, and these maintenance factors are combined with the associated topological graph structure to finally optimize the secondary topology, and output a reconstructed topological graph structure that meets the current requirements. Through this topological reconstruction process, the adaptability, maintainability and overall performance of the system can be effectively improved. In addition, based on the battery module integration scheme, a comprehensive evaluation model is established. The evaluation model includes an adaptability function and a penalty function constructed through positive response relationship and negative response relationship respectively. The adaptability function is used to quantify the positive influence of the module integration scheme on the target integrated module, the scene use target and the maintenance task, and the penalty function is used to evaluate the deficiencies and potential risks of these schemes. The evaluation model is used to score different topological schemes, helping to select the optimal module integration scheme, and ensuring the best balance between performance, reliability and economy of the lithium battery energy storage system.

[0030] Further, based on the associated topological graph structure, the target integrated module, the scene use target and the maintenance task are topologically reconstructed and searched, including:

[0031] According to the target integration module, a target energy storage capacity and a target space volume are determined; the target energy storage capacity and the target space volume are used to reconstruct based on the associated topology graph structure to obtain a first-generation reconstructed topology; according to the scene use target, a scene constraint environment parameter is extracted, and the scene constraint environment parameter is used to reconstruct the first-generation reconstructed topology based on the associated topology graph structure to obtain a second-generation reconstructed topology; according to the maintenance task, a maintenance constraint parameter is extracted, and the second-generation reconstructed topology is reconstructed based on the maintenance constraint parameter in combination with the associated topology graph structure to output a reconstructed topology graph structure.

[0032] Optionally, before starting the topology reconstruction, first, according to the requirements of the target integrated module, the target energy storage capacity and the spatial volume are determined, wherein the target energy storage capacity is determined according to the application demand and the scene, for example, some scenes may require a larger energy storage capacity to cope with load fluctuations or long-term power supply; the spatial volume is the volume size of the target integrated module determined according to the installation environment and space limitations. These information will be used as the key input for the subsequent topology reconstruction, which determines the number of battery cells needed to be integrated, the module layout and its spatial distribution. Subsequently, according to the target capacity, the number of parallel groups is adjusted (such as from 2 to 3), and the newly added integrated surface (such as the newly added contact surface between the battery cell and the shell) is marked in the associated topology graph structure. Then, according to the target spatial volume, the liquid cooling plate flow channel layout is optimized (such as from single-layer flow channel to double-layer flow channel), and the corresponding update is made in the associated topology graph. In addition, according to the adjustment results, the position, connection method and layout of other components are adjusted to ensure that the whole can meet the requirements of the target energy storage capacity and the spatial volume. After the reconstruction is completed, a primary reconstruction topology is obtained, which is a preliminary configuration scheme that has met the requirements of energy storage capacity and spatial volume. Then, according to the scene use target (such as high temperature scene, high vibration scene, etc.), the actual application conditions in the scene are extracted, and these application conditions are used as scene constraint environment parameters, such as load demand, use time, temperature range, vibration frequency range, acceleration range, etc. These scene constraint environment parameters are introduced into the primary reconstruction topology to adjust the topology structure to ensure that the lithium battery energy storage system can adapt to the special requirements of the scene. For example, for high temperature scenes, the liquid cooling plate power (such as from 100W to 150W) or the heat dissipation module is increased according to the scene constraint environment parameters, and the corresponding information is updated in the primary reconstruction topology. For high vibration scenes, the shell wall thickness (such as from 2mm to 3mm) is increased, and the corresponding information is updated in the primary reconstruction topology. Through these adjustments, the second generation of reconstruction topology not only meets the requirements of energy storage capacity and spatial volume, but also adapts to the use requirements of specific scenes. Then, in order to further optimize the performance and maintainability, relevant maintenance constraint parameters are extracted according to the maintenance tasks, including but not limited to maintenance period, maintenance time, replacement frequency, etc. These parameters determine how to perform regular checks, repairs and module replacements during operation. Based on these maintenance constraint parameters, the second generation of reconstruction topology is optimized again in combination with the associated topology graph structure. The optimization goal at this time is to improve the maintainability of the system and reduce the maintenance cost, for example, by optimizing the layout of the modules, making it easy to access and replace the modules that need to be regularly replaced or checked, or by reasonably arranging the connection between the modules to ensure that the failure of a module does not affect the operation of other modules.Finally, the second generation of reconstruction topology is reconstructed in combination with the requirements of maintenance tasks, and a fully optimized reconstruction topology structure is output. This reconstruction topology structure not only meets the requirements of energy storage capacity, space volume and scene use target, but also considers the maintenance convenience of the system, and provides a scientific and flexible optimization scheme for the modular integration of lithium battery energy storage systems.

[0033] Further, the maintenance constraint parameters are extracted according to the maintenance tasks, including:

[0034] According to the maintenance tasks, the maintenance time, maintenance period, maintenance cost and maintenance battery module parameter decomposition are extracted. The extracted maintenance parameters are used to quantize the constraint relationship of the integrated battery pack in the integration connection sequence and the integrated position space, and the maintenance constraint parameters are obtained.

[0035] Optionally, first, the requirements of the maintenance task are analyzed, and relevant maintenance parameters are extracted, including but not limited to maintenance time, maintenance period, maintenance cost, and maintenance battery module parameters. The maintenance time refers to the time required for each maintenance, and the length of the maintenance time is usually affected by the complexity of the module, the connection method between the modules, and the maintenance process. The maintenance period refers to the interval time at which periodic maintenance is required. The maintenance period may vary depending on factors such as the usage frequency of the module, environmental conditions, and workload. Typically, manufacturers or maintenance personnel will provide recommended maintenance periods based on experience or product specifications. The maintenance cost includes labor cost, equipment cost, spare part replacement cost, etc. For each module, the maintenance cost is determined based on the complexity, vulnerability, and frequency of maintenance of the module. For example, the replacement of a battery module may involve a higher cost, while a simple check may only require a small amount of manual cost. The maintenance battery module parameters include specific parameters of each battery module, such as usage duration, charge-discharge times, health status, and remaining life. These parameters help determine whether the module needs to be maintained or replaced. For example, if the charge-discharge times of a battery module reach the upper limit of its designed life, it needs to be replaced or maintained in advance. Subsequently, based on the extracted maintenance task parameters, the modules that need to be maintained or replaced in priority are determined. For example, integrated battery packs with longer usage duration and more charge-discharge times may need to be connected in priority to ensure reliability during operation. For integrated battery packs that need frequent maintenance, the connection order can be adjusted to place these integrated battery packs in easily maintainable locations or to enable them to be easily disassembled and replaced during system operation. In addition, reasonable spatial layout is used to reduce interference between different integrated battery packs. For example, when an integrated battery pack fails or needs to be replaced, the surrounding integrated battery packs should not be affected. This ensures the independence and interchangeability between integrated battery packs and reduces the chain reaction caused by maintenance tasks. Then, the spatial layout of the integrated battery packs is arranged according to the spatial limitations of the integrated positions and the needs of the maintenance operation. The volume and weight of each integrated battery pack will affect its position selection in the system. Modules that need frequent maintenance can be arranged in more convenient areas, while modules that do not need frequent maintenance can be placed in less convenient areas. Finally, through the quantization results of the connection order and position space constraints of the integrated battery packs, maintenance constraint parameters can be obtained, including the connection order of each battery module and the position allocation of each battery module. These maintenance constraint parameters provide necessary information for subsequent optimization, module integration, and operation and maintenance, ensuring efficient operation of the lithium battery energy storage system in actual application.

[0036] Further, according to the maintenance task, maintenance constraint parameters are extracted, and the second generation reconstruction topology is reconstructed based on the maintenance constraint parameters and combined with the associated topology graph structure to output a reconstructed topology graph structure, including:

[0037] The use length, the charge and discharge times, and the energy storage capacity of the battery modules to be integrated are obtained, the use length, the charge and discharge times, and the energy storage capacity of the battery modules to be integrated are matched with the maintenance constraint parameters, the integrated connection sequence and the integrated position space constraint parameters of the battery modules to be integrated are determined, the integrated connection sequence and the integrated position space constraint parameters are used to refer to the topological relationship of the integrated surface in the associated topological graph structure to perform second-generation reconstruction topological reconstruction, and the maintenance cost is minimized, and the reconstructed topological graph structure is output.

[0038] Optionally, in order to ensure the long-term stability of the lithium battery energy storage system and reduce the maintenance cost, the use length, the charge and discharge times, and the energy storage capacity of the battery modules to be integrated are obtained, wherein the use length refers to the running time of the battery modules to be integrated since they are put into use; the charge and discharge times refer to the number of charge and discharge cycles experienced by the battery modules to be integrated; and the energy storage capacity refers to the amount of electrical energy that the battery can store. Then, the use length, the charge and discharge times, and the energy storage capacity of the battery modules to be integrated are matched with the maintenance constraint parameters. In the matching of the use length and the charge and discharge times, for the batteries with a longer use length and a larger number of charge and discharge times, these batteries are placed at the edge or a position easy to maintain, so that when these battery modules need to be maintained or replaced in the later period, the operation of other batteries will not be affected, and the downtime during maintenance is reduced. In the matching of the energy storage capacity, for the large-capacity batteries, since their large energy storage capacity may bring higher maintenance complexity, they are arranged in the core area to ensure that maintenance personnel can quickly access these batteries, and the stability of the entire lithium battery energy storage system is avoided from being affected. After the matching is completed, the integrated connection sequence and the position space constraint of the battery modules to be integrated are determined according to the matching result of the maintenance parameters, so that the work of other batteries will not be interrupted when these batteries are replaced. Then, according to the integrated connection sequence and the integrated position space constraint parameters, the electrical connection between the modules, the thermal management strategy, etc. in the second-generation reconstruction topology are optimized under the condition of maintaining the reasonable connection relationship between the modules by using the existing connection and layout in the associated topological graph structure, so as to avoid the excessive interference of the battery modules and the thermal effect from extending to other modules. In the second-generation reconstruction process, the time and labor cost during the later maintenance is reduced by reasonable integrated connection sequence and position space arrangement, and it is ensured that the replacement and repair of the battery modules will not affect other modules and reduce the downtime. Through these optimization designs, the finally output reconstructed topological graph structure will be more in line with the long-term operation requirements, and the battery modules can be reasonably distributed in the system according to their service life, charge and discharge times, energy storage capacity, etc., which is convenient for future maintenance and replacement, and the goal of reducing operation cost and improving maintenance efficiency is achieved.

[0039] Further, an evaluation model is established for the target integration module, scene use target and maintenance task by using the target integration module, scene use target and maintenance task.

[0040] An adaptability function is established according to the positive response relationship of the battery module integration scheme to the target integration module, scene use target and maintenance task, and a penalty function is established according to the negative response relationship of the battery module integration scheme to the target integration module, scene use target and maintenance task. The adaptability function and the penalty function are fused to establish the evaluation model.

[0041] Preferably, in order to comprehensively evaluate the battery module integration scheme, first, a plurality of battery module integration schemes are extracted from the historical integration log, which include various indicators (such as energy storage capacity, spatial volume, heat dissipation efficiency, mechanical strength, maintenance time, etc.) of the target integration module, scene use target and maintenance task, and the marked adaptability and penalty. Subsequently, an adaptability function is established according to the positive response relationship of the adaptability to the target integration module, scene use target and maintenance task, which is used to evaluate the positive performance of the battery module integration scheme. After normalizing the data in the battery module integration scheme (maximum-minimum normalization method), the data is input into the adaptability function for linear regression fitting. In the fitting process, the least squares method is used to minimize the sum of squared errors between the actual data and the fitting curve, and the regression coefficient is solved, so as to obtain the final adaptability function. Then, a penalty function is established according to the negative response relationship of the penalty to the target integration module, scene use target and maintenance task, which is used to evaluate the inadaptability of the battery module integration scheme. The negative indicators such as insufficient capacity, excessive volume, insufficient heat dissipation, mechanical failure and maintenance time overrun are obtained by calculating the difference between each indicator in the battery module integration scheme and the corresponding ideal indicator, and then these negative indicators are input into the penalty function. Through the same fitting process as described above, the final penalty function is obtained. Finally, the adaptability function and the penalty function are fused, that is, the adaptability function is multiplied by the corresponding weight, the penalty function is multiplied by the corresponding weight, and the two products are subtracted, so as to fuse the adaptability function and the penalty function into a comprehensive evaluation model. The evaluation model outputs a comprehensive score for measuring the pros and cons of the battery module integration scheme. A higher score indicates that the integration scheme performs better in meeting the requirements of the target integration module, adapting to the scene demand, being easy to maintain and reducing maintenance costs. A lower score may indicate poor performance, maintenance difficulty or mismatch with the actual application scene, thereby helping to select the optimal scheme and optimize the integration design of the lithium battery energy storage system.

[0042] The topology reconstruction relationship is evaluated and optimized by using the evaluation model to determine the module integration scheme.

[0043] Specifically, after obtaining the reconstructed topology graph structure, the topology reconstruction relationship recorded in the reconstructed topology graph structure is input into the evaluation model for evaluation optimization, and the evaluation result of the reconstructed topology graph structure is calculated. By comparing the calculated evaluation result with the integrated evaluation target parameter, if the evaluation result meets the requirements of the integrated evaluation target parameter, it means that the reconstructed topology graph structure meets the current business requirements. At this time, the topology reconstruction relationship of the reconstructed topology graph structure is converted into an integrated scheme to obtain the final module integration scheme. On the contrary, the reconstruction operation described above will be performed again based on the reconstructed topology graph structure to optimize the arrangement, connection order and layout of the components. The final module integration scheme not only ensures that the performance of the lithium battery energy storage system meets or exceeds the expectation, but also meets the needs of specific scenarios, providing efficient, stable and reliable operation guarantee for the lithium battery energy storage system.

[0044] Further, the evaluation model is used to evaluate and optimize the topology reconstruction relationship to determine the module integration scheme, comprising:

[0045] The evaluation model is used to evaluate the topology reconstruction relationship to obtain a topology evaluation result, which includes branch evaluation results of the target integrated module, the scene use target and the maintenance task, and a comprehensive evaluation result. The branch evaluation results and / or the comprehensive evaluation result are compared according to the integrated evaluation target parameter. When the integrated evaluation target parameter is met, the topology reconstruction relationship is converted into an integrated scheme to generate the module integration scheme for the module integration of the lithium battery energy storage system.

[0046] Optionally, the index data corresponding to the target integrated module, the scene use target and the maintenance task, such as the energy storage capacity and the space volume of the target integrated module, the heat dissipation efficiency and the mechanical strength of the scene use target, are extracted from the topology reconstruction relationship. Subsequently, these indexes are input into the evaluation model for comprehensive evaluation to obtain a comprehensive evaluation result. In the evaluation process, the calculation results of the index corresponding items of the three branches of the target integrated module, the scene use target and the maintenance task are extracted as branch evaluation results. Then, the integrated evaluation target parameter is compared with the branch evaluation results and / or the comprehensive evaluation results. If the branch evaluation results and / or the comprehensive evaluation results are greater than or equal to the corresponding threshold value in the integrated evaluation target parameter, it means that the current topology reconstruction relationship meets the requirements. At this time, the topology reconstruction relationship is converted into an integrated scheme to generate the final module integration scheme, which will be used for the module integration of the lithium battery energy storage system to ensure that the lithium battery energy storage system can operate efficiently and stably, and has the ability to adapt to different use scenarios and long-term maintenance.

[0047] In the foregoing, reference is made to Figure 1The modular integration method of the lithium battery energy storage system according to the embodiment of the present application is described in detail. Next, the modular integration system of the lithium battery energy storage system according to the embodiment of the present application will be described with reference to Figure 2 The modular integration system of the lithium battery energy storage system according to the embodiment of the present application is described.

[0048] The modular integration system of the lithium battery energy storage system according to the embodiment of the present application is used to solve the technical problem that the connection topology between modules in the modular integration process of the lithium battery energy storage system is poor in adaptability to actual use scenarios and maintenance requirements, resulting in low flexibility of the integration scheme and low maintenance efficiency, so as to achieve the technical effect of efficient adaptation of the modular integration scheme through correlation topology analysis and evaluation optimization, improve the integration efficiency and reliability of the lithium battery energy storage system, and reduce the maintenance cost. The modular integration system of the lithium battery energy storage system comprises a structure analysis unit 11, a correlation analysis unit 12, a topology reconstruction search unit 13, and an evaluation optimization unit 14.

[0049] The structure analysis unit 11 analyzes the structural characteristics of the lithium battery energy storage module; the correlation analysis unit 12 analyzes the correlation of the integrated superposition position and the integrated connection topology structure according to the structural characteristics, and establishes a correlation topology graph structure; the topology reconstruction search unit 13 performs topology reconstruction search on the target integrated module, the scene use target, and the maintenance task based on the correlation topology graph structure, and establishes an evaluation model using the target integrated module, the scene use target, and the maintenance task; and the evaluation optimization unit 14 evaluates and optimizes the topology reconstruction relationship using the evaluation model, and determines the module integration scheme.

[0050] Next, the specific configuration of the structure analysis unit 11 will be described in detail. The structure analysis unit 11 can further comprise: analyzing the physical composition and functional structure of the lithium battery energy storage module; analyzing the interaction relationship of each component according to the physical composition and functional structure, and determining the structural characteristics, which include physical structure characteristics and functional structure characteristics, wherein the structural characteristics include dependent linkage relationship, interactive coupling relationship, and disturbance repulsion relationship.

[0051] Next, the specific configuration of the correlation analysis unit 12 will be described in detail. The correlation analysis unit 12 can further comprise: performing superposition analysis on each integrated surface of the module according to the structural characteristics, and determining the superposition constraint distance, the superposition response relationship, and the superposition influence degree of each integrated surface; performing bidirectional superposition evaluation of the integrated surface based on the superposition constraint distance, the superposition response relationship, and the superposition influence degree of each integrated surface, obtaining the topology connection relationship, including the energy efficiency evaluation relationship and the heat dissipation evaluation relationship; and traversing the topology connection relationship of all integrated surfaces to form the correlation topology graph structure.

[0052] In the following, the specific configuration of the topology reconfiguration searching unit 13 will be described in detail. The topology reconfiguration searching unit 13 can further include: determining the target energy storage capacity and the space volume according to the target integration module; using the target energy storage capacity and the space volume to perform reconfiguration based on the associated topology graph structure to obtain a first-generation reconfiguration topology; extracting a scene constraint environment parameter according to the scene use target, and using the scene constraint environment parameter to perform reconfiguration on the first-generation reconfiguration topology based on the associated topology graph structure to obtain a second-generation reconfiguration topology; extracting a maintenance constraint parameter according to the maintenance task, and performing reconfiguration on the second-generation reconfiguration topology based on the maintenance constraint parameter in combination with the associated topology graph structure to output a reconfiguration topology graph structure.

[0053] In the following, the specific configuration of the topology reconfiguration searching unit 13 will be described in detail. The topology reconfiguration searching unit 13 can further include: extracting the maintenance time, the maintenance period, the maintenance cost, and the maintenance battery module parameter according to the maintenance task; using the extracted maintenance parameters to quantize the constraint relationship of the integrated connection order and the integrated position space of the integrated battery pack to obtain the maintenance constraint parameter.

[0054] In the following, the specific configuration of the topology reconfiguration searching unit 13 will be described in detail. The topology reconfiguration searching unit 13 can further include: obtaining the use duration, the charge-discharge times, and the energy storage capacity of the battery module to be integrated, using the maintenance constraint parameter to perform maintenance parameter matching on the use duration, the charge-discharge times, and the energy storage capacity of the battery module to be integrated to determine the integrated connection order and the integrated position space constraint parameter of the battery module to be integrated; using the integrated connection order and the integrated position space constraint parameter to perform second-generation reconfiguration topology reconfiguration with reference to the topology relationship of the integrated face in the associated topology graph structure to minimize the maintenance cost, and outputting the reconfiguration topology graph structure.

[0055] In the following, the specific configuration of the topology reconfiguration searching unit 13 will be described in detail. The topology reconfiguration searching unit 13 can further include: establishing an fitness function according to the positive response relationship of the battery module integration scheme to the target integration module, the scene use target, and the maintenance task, respectively; establishing a penalty function according to the negative response relationship of the battery module integration scheme to the target integration module, the scene use target, and the maintenance task; and fusing the fitness function and the penalty function to establish the evaluation model.

[0056] The specific configuration of the evaluation optimization unit 14 will be described in detail below. The evaluation optimization unit 14 can further include: evaluating the topology reconstruction relationship by using the evaluation model to obtain a topology evaluation result, which includes branch evaluation results of the target integration module, the scene use target, the maintenance task, and a comprehensive evaluation result; comparing the branch evaluation result and / or the comprehensive evaluation result according to the integrated evaluation target parameter, and when the integrated evaluation target parameter is met, converting the topology reconstruction relationship into an integrated scheme to generate the module integration scheme for the module integration of the lithium battery energy storage system.

[0057] Figure 3 FIG. 1 is a structural schematic diagram of an electronic device according to an embodiment of the present application, which shows a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present application. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functions and use range of the embodiments of the present application. The electronic device is in the form of a general computing device, and its components can include, but are not limited to, a memory 21, a processor 22, an input system 23, and an output system 24. The processor 22 can be one or more; the memory 21 can include a computer readable medium and at least one program product, which has a set of (at least one) program modules configured to perform the functions of the embodiments of the present application.

[0058] The memory 21 shown in the embodiments of the present application can adopt any combination of one or more computer readable media; the computer readable storage medium can be, but is not limited to, an infrared ray, a semiconductor system, a system, or a device, or a combination of any of the above, for storing software programs, computer executable programs, and modules, such as the program instructions / modules corresponding to the lithium battery energy storage system modular integration method in the embodiments of the present application. The processor 22 performs various functional applications and data processing of the computer device by running the software programs, instructions, and modules stored in the memory 21, that is, implements the above-mentioned lithium battery energy storage system modular integration method.

[0059] The lithium battery energy storage system modular integration system provided by the embodiments of the present application can execute the lithium battery energy storage system modular integration method provided by any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method.

[0060] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server, and each unit and module included is only divided according to functional logic, but is not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy mutual differentiation, and do not limit the protection scope of the present application.

[0061] The foregoing detailed description has set forth various embodiments of the devices and / or processes via the use of specific terminology. However, embodiments thereof can be practiced with the exact description not being set forth but with the same essence. Therefore, embodiments cannot be limited to the specific details and / or the exact examples described. It should be appreciated that the specific order or hierarchy of steps in the processes can differ from what is described herein, depending on the implementation. Therefore, the process can be implemented with the order of steps differing from what is described herein.

Claims

1. A method of modular integration of lithium battery energy storage systems, characterized in that, The application relates to a method for determining a module integration scheme of a lithium battery energy storage module. The method comprises the following steps: analyzing structural features of the lithium battery energy storage module; performing integrated superposition position and integrated connection topology correlation analysis according to the structural features, and establishing a correlation topology graph structure; based on the correlation topology graph structure, performing topology reconstruction search on a target integrated module, a scene use target and a maintenance task, and establishing an evaluation model by using the target integrated module, the scene use target and the maintenance task; using the evaluation model to evaluate and optimize the topology reconstruction relationship, and determining a module integration scheme; wherein, based on the correlation topology graph structure, performing topology reconstruction search on a target integrated module, a scene use target and a maintenance task, comprises: determining a target energy storage capacity and a space volume according to the target integrated module; using the target energy storage capacity and the space volume to perform reconstruction based on the correlation topology graph structure, and obtaining a primary reconstruction topology; extracting a scene constraint environment parameter according to the scene use target, and using the scene constraint environment parameter to perform reconstruction on the primary reconstruction topology based on the correlation topology graph structure, and obtaining a secondary reconstruction topology; 2. The lithium battery energy storage system modular integration method of claim 1, wherein, extracting a maintenance constraint parameter according to the maintenance task, and performing reconstruction on the secondary reconstruction topology based on the maintenance constraint parameter in combination with the correlation topology graph structure, and outputting a reconstruction topology graph structure. The method for determining the structural features of the lithium battery energy storage module comprises the following steps: analyzing physical composition and functional structure of the lithium battery energy storage module; 3. The method of modular integration of lithium battery energy storage systems of claim 2, wherein, performing interaction relationship analysis of each component according to the physical composition and the functional structure, and determining structural features, wherein the structural features comprise physical structure features and functional structure features, and the structural features comprise dependent linkage relationship, interaction coupling relationship and disturbance repulsion relationship. performing integrated superposition position and integrated connection topology correlation analysis according to the structural features, and establishing a correlation topology graph structure, comprises the following steps: performing superposition analysis of each integrated surface of the module according to the structural features, and determining superposition constraint distance, superposition response relationship and superposition influence degree of each integrated surface; performing integrated surface bidirectional superposition evaluation based on the superposition constraint distance, the superposition response relationship and the superposition influence degree of each integrated surface, and obtaining topology connection relationship, including energy efficiency evaluation relationship and heat dissipation evaluation relationship; 4. The lithium battery energy storage system modular integration method of claim 1, wherein, traversing topology connection relationship of all integrated surfaces, and establishing the correlation topology graph structure. extracting a maintenance constraint parameter according to the maintenance task, comprises the following steps: performing maintenance time, maintenance cycle, maintenance cost and maintenance battery module parameter decomposition extraction according to the maintenance task; 5. The method of modular integration of lithium battery energy storage systems of claim 4, wherein, quantifying constraint relationship of integrated battery connection sequence and integrated position space by using the extracted maintenance parameter, and obtaining the maintenance constraint parameter. extracting a maintenance constraint parameter according to the maintenance task, performing reconstruction on the secondary reconstruction topology based on the maintenance constraint parameter in combination with the correlation topology graph structure, and outputting a reconstruction topology graph structure, comprises the following steps: obtaining use time length, charge and discharge times and energy storage capacity of a to-be-integrated battery module, performing maintenance parameter matching on the use time length, the charge and discharge times and the energy storage capacity of the to-be-integrated battery module by using the maintenance constraint parameter, and determining integrated connection sequence and integrated position space constraint parameters of the to-be-integrated battery module. The integrated connection sequence, integrated position space constraint parameters are used to refer to the topological relationship of the integrated surface in the associated topological graph structure to perform second-generation reconstruction topology reconstruction to minimize maintenance costs, and output the reconstructed topological graph structure.

6. The lithium battery energy storage system modular integration method of claim 1, wherein, An evaluation model is established using the target integrated module, scene use target, and maintenance task. An adaptive function is established according to the positive response relationship of the battery module integration scheme to the target integrated module, scene use target, and maintenance task. A penalty function is established according to the negative response relationship of the battery module integration scheme to the target integrated module, scene use target, and maintenance task. The adaptive function and the penalty function are fused to establish the evaluation model.

7. The lithium battery energy storage system modular integration method of claim 6, wherein, The evaluation model is used to evaluate and optimize the topology reconstruction relationship to determine the module integration scheme, including: The evaluation model is used to evaluate the topology reconstruction relationship to obtain a topology evaluation result, which includes branch evaluation results and comprehensive evaluation results of the target integrated module, scene use target, and maintenance task. According to the integrated evaluation target parameters, the branch evaluation results and / or the comprehensive evaluation results are compared, and when the integrated evaluation target parameters are met, the topology reconstruction relationship is converted into the module integration scheme to generate the module integration scheme for the modular integration of the lithium battery energy storage system.

8. A modular integrated system of lithium battery energy storage systems, characterized by, The system is used to implement the lithium battery energy storage system modular integration method of any one of claims 1 to 7, including: A structure analysis unit is configured to analyze the structural characteristics of the lithium battery energy storage module. A correlation analysis unit is configured to analyze the correlation of the integrated superposition position and the integrated connection topology structure based on the structural characteristics to establish an associated topological graph structure. A topology reconstruction search unit is configured to search for a topology reconstruction of a target integrated module, scene use target, and maintenance task based on the associated topological graph structure, and establish an evaluation model using the target integrated module, scene use target, and maintenance task. An evaluation optimization unit is configured to evaluate and optimize the topology reconstruction relationship using the evaluation model to determine the module integration scheme.

9. An electronic device, comprising: The electronic device includes: A memory is configured to store executable instructions. A processor is configured to execute the executable instructions stored in the memory to implement the lithium battery energy storage system modular integration method of any one of claims 1 to 7.

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