Energy storage cabinet hanging ring type selection method and system, computer equipment and readable storage medium

Abstract

The invention provides an energy storage cabinet lifting ring type selection method and system, computer equipment and a readable storage medium, the total weight is determined according to the total element weight of an energy storage cabinet, and the total element weight of the energy storage cabinet comprises the weight of a battery pack in the energy storage cabinet, the weight of an electric device, the weight of a cabinet body, the weight of a liquid cooling module and the weight of a component; model parameters are determined according to the total weight of the energy storage cabinet, the model parameters comprise the number of lifting points, a dynamic load coefficient, an unevenness coefficient and a lifting included angle, and the lifting included angle is smaller than or equal to 45 degrees; determining the limit load of the lifting ring based on the model parameters; determining the effective sectional area of the lifting ring based on the design stress of the lifting ring, and determining the design specification of the lifting ring based on the limit load of the lifting ring and the effective sectional area of the lifting ring. By adopting the method, the estimation of the weight of the easily missing component is increased, the weight of the cabinet under the actual working condition is furthest approached, the design risk is reduced, the differentiation analysis is performed on the material, and the adaptability is high.

Description

Technical Field

[0001] This application relates to the field of energy storage equipment technology, and in particular to a method, system, computer equipment, and readable storage medium for selecting lifting rings for energy storage cabinets. Background Technology

[0002] With the advancement of the "dual carbon" target, industrial and commercial energy storage cabinets are widely used. These products are composed of high-density components such as battery clusters, high-voltage boxes, PCS, and liquid cooling units, and are characterized by their small size but heavy weight.

[0003] Existing technologies have the following drawbacks in the design of lifting rings: 1. Weight estimation error: The weight of coolant is often overlooked during the process, resulting in an underestimation.

[0004] 2. Ignoring the influence of angle: Most designs only select cranes for vertical lifting. However, in actual projects, due to limitations in crane boom height and actual working conditions at the construction site, the lifting slings often operate at an angle.

[0005] 3. Material Confusion: In outdoor or seaside settings, customers often specify stainless steel lifting rings. However, the yield strength of 304 / 316 stainless steel of the same specifications is usually lower than that of high-strength alloy steel. If directly substituted, breakage is very likely to occur.

[0006] 4. Low material utilization: In order to ensure safety, excessively large lifting rings are often blindly selected, which leads to increased costs and mismatch with the cabinet top beam structure.

[0007] Therefore, there is an urgent need for a systematic calculation and selection method that can comprehensively consider weight, material, and lifting angle. Summary of the Invention

[0008] Therefore, it is necessary to provide a method, system, computer equipment, and readable storage medium for selecting lifting rings for energy storage cabinets to address the aforementioned technical problems.

[0009] A method for selecting lifting rings for energy storage cabinets includes: The total weight is determined based on the total weight of all elements of the energy storage cabinet, which includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. The model parameters are determined based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. The ultimate load of the lifting ring is determined based on the model parameters; The effective cross-sectional area of ​​the lifting ring is determined based on its design stress, and the design specifications of the lifting ring are determined based on its ultimate load and effective cross-sectional area.

[0010] In one embodiment, the step of determining the total weight based on the total weight of the energy storage cabinet includes: The total weight of the energy storage cabinet is determined based on the weight of the internal battery pack, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. The calculation formula is as follows: Where G is the total weight of the energy storage cabinet. This refers to the weight of the battery pack. The weight of the cabinet itself; This refers to the weight of the liquid cooling module; This refers to the weight of the electrical components.

[0011] In one embodiment, the step of determining the ultimate load of the lifting ring based on the model parameters includes: The ultimate load of the lifting ring is calculated based on the model parameters, using the following formula: in, Let n be the ultimate load of the lifting ring, and n be the number of lifting points. This is the dynamic load factor. The coefficient of inequivalence, This refers to the lifting angle.

[0012] In one embodiment, the dynamic load factor ranges from 1.1 to 1.3, and the non-uniformity factor ranges from 1.05 to 1.2.

[0013] In one embodiment, the steps of determining the effective cross-sectional area of ​​the lifting ring based on its design stress and determining its design specifications based on its ultimate load and effective cross-sectional area include: The design stress of the lifting ring is determined based on the material correction factor, and the effective cross-sectional area of ​​the lifting ring is determined based on the design stress of the lifting ring. The numerical range of the material correction factor is between 0 and 1. The design specifications for the lifting ring are determined based on its ultimate load and effective cross-sectional area. The design specifications are to select a lifting ring whose target load-bearing capacity is greater than the ultimate load of the lifting ring and whose target effective cross-sectional area is greater than the effective cross-sectional area of ​​the lifting ring as the target lifting ring.

[0014] In one embodiment, the steps of determining the design stress of the lifting ring based on a material correction factor and determining the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring include: The design stress of the lifting ring is determined based on the material correction factor, and the calculation method is as follows: in, For design stress, This represents the original yield strength of the material. This is a material correction factor, which is determined by the thread engagement coefficient and the impact toughness coefficient; The effective cross-sectional area of ​​the lifting ring is determined based on the design stress of the lifting ring.

[0015] In one embodiment, the step of determining the effective cross-sectional area of ​​the lifting ring based on its design stress includes: The effective cross-sectional area of ​​the lifting ring is determined based on its design stress, and the calculation method is as follows: in, Where g is the effective cross-sectional area, g is the gravitational acceleration, and S is the safety factor.

[0016] An energy storage cabinet lifting ring selection system includes: The calculation module is used to determine the total weight based on the total weight of all elements of the energy storage cabinet, which includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. A setting module is connected to the calculation module. The setting module is used to determine model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. A load module, connected to the setting module, is used to determine the ultimate load of the lifting ring based on the model parameters; The design module is connected to the load module. The design module is used to determine the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring, and to determine the design specifications of the lifting ring based on the ultimate load of the lifting ring and the effective cross-sectional area of ​​the lifting ring.

[0017] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of any of the methods described in the above embodiments.

[0018] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the above embodiments.

[0019] Compared with existing technologies, the above-mentioned method, system, computer equipment, and readable storage medium for selecting lifting rings for energy storage cabinets first determine the total weight of the energy storage cabinet based on its total weight, which includes the weight of the battery pack, electrical components, cabinet body, liquid cooling module, and other components. Second, it determines model parameters based on the total weight of the energy storage cabinet, including the number of lifting points, dynamic load coefficient, non-uniformity coefficient, and lifting angle (less than or equal to 45°). Based on these model parameters, it determines the ultimate load of the lifting ring. Finally, it determines the effective cross-sectional area of ​​the lifting ring based on its design stress, and then determines the design specifications of the lifting ring based on its ultimate load and effective cross-sectional area. This application uses the above method to increase the estimation of the weight of easily missing components, approximating the actual cabinet weight under working conditions, reducing design risks, and performing material differentiation analysis, thus demonstrating strong adaptability. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a method for selecting lifting rings for an energy storage cabinet according to an embodiment of this application; Figure 2 This is a schematic diagram of the force distribution during energy storage hoisting, provided as an embodiment of this application. Figure 3 A structural block diagram of an energy storage cabinet lifting ring selection system provided in an embodiment of this application; Figure 4 This is an internal structural diagram of a computer device provided in an embodiment of this application.

[0022] Explanation of reference numerals in the attached figures: 10. Energy storage cabinet lifting ring selection system; 100. Calculation module; 200. Setting module; 300. Load module; 400. Design module. Detailed Implementation

[0023] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0024] The serial numbers assigned to components in this document, such as "first" and "second," are used solely to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages). It should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are used solely for the convenience of describing this application and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0025] In this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0026] It should be noted that when a component is said to be "fixed to" another component, it can be directly attached to the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the specification of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0028] Please see Figure 1 and Figure 2 This application provides an embodiment of a method for selecting lifting rings for energy storage cabinets. The method includes: S102: Determine the total weight based on the total weight of all elements of the energy storage cabinet. The total weight of all elements of the energy storage cabinet includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components.

[0029] In some embodiments, the primary and most fundamental input for selecting lifting rings is the total weight of the energy storage unit in the lifting state. Traditional estimation methods often only consider the weight of the main frame and battery pack, ignoring many critical components, resulting in a calculated weight that is far lower than the actual weight, posing a potential safety hazard during lifting. This step emphasizes "full-element" calculation, meaning that all components that constitute the effective load during lifting must be systematically considered.

[0030] Specifically, the total weight of the energy storage cabinet includes, but is not limited to, the following components: Internal battery pack weight: This is the primary source of weight. The total weight of all battery modules needs to be accurately calculated based on the battery chemistry (e.g., lithium iron phosphate, ternary lithium), energy density, and total capacity. The weight of the cabinet itself: including the weight of all metal structural components such as profiles (such as steel and aluminum profiles), skin (side panels, top panels, bottom panels), internal supports, and reinforcing ribs that make up the frame of the energy storage cabinet; Liquid cooling module weight: This part of the weight is crucial for energy storage cabinets that use liquid cooling systems. It includes the total weight of the cold plate, circulation piping, coolant (such as ethylene glycol aqueous solution), pump, storage tank and connectors. Electrical component weight: This refers to the weight of all electrical and electronic equipment inside the cabinet, excluding the battery pack and cooling system. This mainly includes: Power Conversion System (PCS) module: As the core power unit for AC-DC conversion, it contains a large number of IGBT modules, capacitors, inductors, and heat sinks, resulting in considerable weight. Battery Management System (BMS) master and slave control units. Energy Management System (EMS) cabinet controller. Power distribution unit: Includes circuit breakers, contactors, fuses, copper busbars, etc.

[0031] Firefighting module: Aerosol or perfluorohexanone fire extinguishing device and its piping; Weight of other components: such as cable bundles, communication modules, sensors, grounding components, and all other miscellaneous parts not included in the above categories.

[0032] S104: Determine the model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°.

[0033] In some embodiments, after determining the precise total weight, it is necessary to further determine the model parameters used for mechanical calculations. These parameters collectively define the mechanical conditions of the lifting operation and are crucial for converting static weight into dynamic forces. The model parameters include: Number of lifting points: Determined based on the energy storage cabinet's structural design, center of gravity location, and lifting plan; typically 2, 4, or more. The number of lifting points directly affects the load distribution of a single lifting ring.

[0034] Dynamic load factor: used to account for the dynamic effects caused by factors such as starting, braking, swaying or wind load during the hoisting process, and its value is always greater than 1.

[0035] Unevenness coefficient: Used to account for the uneven load distribution among multiple lifting rings due to installation errors, differences in rigging length, or structural deformation. Its value is also greater than 1.

[0036] Lifting angle: This refers to the angle between the lifting sling (such as a rope or chain) and the vertical direction. This angle must be less than or equal to 45°. Increasing the angle will cause a sharp increase in the horizontal force on the lifting ring. Preferably, in practice, it is usually strictly required to control the lifting angle within 30° to ensure safety.

[0037] S106: Determine the ultimate load of the lifting ring based on the model parameters.

[0038] In some embodiments, the step of determining the ultimate load of the lifting ring based on the model parameters includes: The ultimate load of the lifting ring is calculated based on the model parameters, using the following formula: in, Let n be the ultimate load of the lifting ring, and n be the number of lifting points. This is the dynamic load factor. The coefficient of inequivalence, This refers to the lifting angle.

[0039] Specifically, the ultimate load of the lifting ring can be calculated using the above formula. This ultimate load is the minimum threshold value that must be met when selecting the lifting ring's load-bearing capacity.

[0040] S108: Determine the effective cross-sectional area of ​​the lifting ring based on its design stress, and determine the design specifications of the lifting ring based on its ultimate load and effective cross-sectional area.

[0041] In some embodiments, this example completes the final selection of the lifting ring from two dimensions: materials mechanics and product specifications. The final design specifications have dual requirements; the selected "target lifting ring" must simultaneously meet the following: Load-bearing capacity requirements: The rated working load or minimum breaking load specified in the lifting ring product standard must be greater than the ultimate load calculated above. Size and specification requirements: The actual effective cross-sectional area of ​​lifting eye products (especially the threaded part) must be greater than the minimum effective cross-sectional area required by calculation.

[0042] This embodiment provides a lifting ring selection method that starts from the total weight of all elements, systematically considers multiple practical factors such as dynamic load, unevenness, and included angle, and finally combines material mechanics for double verification. This method standardizes, quantifies, and refines the previous experience-based selection process, increases the estimation of the weight of easily missing components, and approximates the actual cabinet weight under working conditions as closely as possible. It effectively avoids the risk of insufficient selection due to weight omissions or inadequate consideration of working conditions, and performs differentiated analysis on materials, making it highly adaptable.

[0043] In some embodiments, the step of determining the total weight based on the total element weight of the energy storage cabinet includes: The total weight of the energy storage cabinet is determined based on the weight of the internal battery pack, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. The calculation formula is as follows: Where G is the total weight of the energy storage cabinet. This refers to the weight of the battery pack. The weight of the cabinet itself; This refers to the weight of the liquid cooling module; This refers to the weight of the electrical components.

[0044] In practice, the centroid and mass attribute analysis functions of 3D design software (such as SolidWorks, Creo) can be used, or the weights can be entered item by item in the Bill of Materials (BOM) and then summarized to ensure the accuracy of the data.

[0045] In some embodiments, the dynamic load factor ranges from 1.1 to 1.3, and the unevenness factor ranges from 1.05 to 1.2. In specific operations, the dynamic load factor can be selected according to the crane's operating specifications and working conditions. For example, for stable indoor hoisting, a lower value (e.g., 1.1) can be used; for outdoor conditions or conditions with a greater risk of swaying, a higher value (e.g., 1.3) should be used. Similarly, the unevenness factor ranges from 1.05 to 1.2. The more hoisting points and the worse the synchronization control accuracy, the larger this factor should be.

[0046] In some embodiments, the steps of determining the effective cross-sectional area of ​​the lifting ring based on its design stress and determining its design specifications based on its ultimate load and effective cross-sectional area include: determining the design stress of the lifting ring based on a material correction factor and determining its effective cross-sectional area based on the design stress, wherein the material correction factor has a value range between 0 and 1; and determining its design specifications based on its ultimate load and effective cross-sectional area, wherein the design specifications involve selecting a lifting ring with a target load-bearing capacity greater than its ultimate load and a target effective cross-sectional area greater than its effective cross-sectional area as the target lifting ring.

[0047] In some embodiments, the steps of determining the design stress of the lifting ring based on a material correction factor and determining the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring include: The design stress of the lifting ring is determined based on the material correction factor, and the calculation method is as follows: in, For design stress, This represents the original yield strength of the material. This is a material correction factor, which is determined by the thread engagement coefficient and the impact toughness coefficient; The effective cross-sectional area of ​​the lifting ring is determined based on the design stress of the lifting ring.

[0048] In some embodiments, the design stress of the lifting eye material is not simply taken as its yield strength. In practical engineering, factors such as stress concentration, thread fatigue, and impact toughness must be considered. Therefore, a material correction factor is introduced, with a value ranging from 0 to 1, which combines the effects of the thread engagement coefficient and the impact toughness coefficient.

[0049] Specifically, design stress It can be determined by the thread engagement coefficient. (The material's resistance to thread seizure) and impact toughness coefficient The resistance of the reactive material to brittle fracture under instantaneous lifting dynamic load is determined and calculated as follows: In some embodiments, the commonly used lifting ring materials and material correction factors are shown in the table below. The data in the table can be referred to during the calculation process.

[0050] In some embodiments, to ensure that the lifting ring still has sufficient safety margin under the worst calculated load, it is necessary to calculate its required minimum effective cross-sectional area (typically the cross-sectional area at the minimum root diameter of the thread or the narrowest part of the body). The step of determining the effective cross-sectional area of ​​the lifting ring based on its design stress includes: The effective cross-sectional area of ​​the lifting ring is determined based on its design stress, and the calculation method is as follows: in, Where g is the effective cross-sectional area, g is the gravitational acceleration, and S is the safety factor.

[0051] Please see Figure 4This application provides an energy storage cabinet lifting ring selection system 10 according to one embodiment. The energy storage cabinet lifting ring selection system 10 includes: a calculation module 100, a setting module 200, a load module 300, and a design module 400. The calculation module 100 is used to determine the total weight of the energy storage cabinet based on its total element weight, which includes the weight of the battery pack inside the energy storage cabinet, the weight of electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of other components. The setting module 200 is connected to the calculation module 100 and is used to determine model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, non-uniformity coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. The load module 300 is connected to the setting module 200 and is used to determine the ultimate load of the lifting ring based on the model parameters. The design module 400 is connected to the load module 300. The design module is used to determine the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring, and to determine the design specifications of the lifting ring based on the ultimate load of the lifting ring and the effective cross-sectional area of ​​the lifting ring.

[0052] In some embodiments, the specific structure of the computing module 100 is not limited, as long as it has the function of determining the total weight based on the total weight of all elements of the energy storage cabinet. In some embodiments, the computing module 100 may be a data processing chip, etc.

[0053] In some embodiments, the specific structure of the setting module 200 is not limited, as long as it has the function of determining model parameters based on the total weight of the energy storage cabinet. In some embodiments, the setting module 200 can be an input setting integrator.

[0054] In some embodiments, the specific structure of the load module 300 is not limited, as long as it has the function of determining the ultimate load of the lifting ring based on the model parameters. In some embodiments, the load module 300 may be an integrated processor.

[0055] In some embodiments, the specific structure of the design module 400 is not limited, as long as it has the function of determining the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring, and determining the design specifications of the lifting ring based on the ultimate load of the lifting ring and the effective cross-sectional area of ​​the lifting ring. In some embodiments, the design module 400 may be an integrated processor, etc.

[0056] The energy storage cabinet lifting ring selection system 10 described in this embodiment adopts the above-mentioned method to increase the estimation of the weight of easily missing components, so as to get as close as possible to the actual cabinet weight under working conditions, reduce design risks, and perform material differentiation analysis, making it highly adaptable.

[0057] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for selecting energy storage cabinet lifting rings. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0058] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] Please see Figure 4 Another embodiment of this application provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the energy storage cabinet lifting ring selection method described in any of the above embodiments.

[0060] In one embodiment, the processor performs the following steps when executing a computer program: S102: Determine the total weight based on the total weight of all elements of the energy storage cabinet. The total weight of all elements of the energy storage cabinet includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. S104: Determine the model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. S106: Determine the ultimate load of the lifting ring based on the model parameters; S108: Determine the effective cross-sectional area of ​​the lifting ring based on its design stress, and determine the design specifications of the lifting ring based on its ultimate load and effective cross-sectional area.

[0061] An embodiment of this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the energy storage cabinet lifting ring selection method described in any of the above embodiments.

[0062] In one embodiment, when a computer program is executed by a processor, it performs the following steps: S102: Determine the total weight based on the total weight of all elements of the energy storage cabinet. The total weight of all elements of the energy storage cabinet includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. S104: Determine the model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. S106: Determine the ultimate load of the lifting ring based on the model parameters; S108: Determine the effective cross-sectional area of ​​the lifting ring based on its design stress, and determine the design specifications of the lifting ring based on its ultimate load and effective cross-sectional area.

[0063] The aforementioned computer equipment and computer-readable storage media, using the above method, increase the estimation of the weight of easily missing components, approximate the actual cabinet weight under working conditions as closely as possible, reduce design risks, and conduct differentiated analysis of materials, making them highly adaptable.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0066] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for selecting lifting rings for energy storage cabinets, characterized in that, include: The total weight is determined based on the total weight of all elements of the energy storage cabinet, which includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. The model parameters are determined based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. The ultimate load of the lifting ring is determined based on the model parameters; The effective cross-sectional area of ​​the lifting ring is determined based on its design stress, and the design specifications of the lifting ring are determined based on its ultimate load and effective cross-sectional area.

2. The method for selecting lifting rings for energy storage cabinets as described in claim 1, characterized in that, The step of determining the total weight based on the total weight of all elements of the energy storage cabinet includes: The total weight of the energy storage cabinet is determined based on the weight of the internal battery pack, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. The calculation formula is as follows: Where G is the total weight of the energy storage cabinet. This refers to the weight of the battery pack. The weight of the cabinet itself; This refers to the weight of the liquid cooling module; This refers to the weight of the electrical components.

3. The method for selecting lifting rings for energy storage cabinets as described in claim 2, characterized in that, The step of determining the ultimate load of the lifting ring based on the model parameters includes: The ultimate load of the lifting ring is calculated based on the model parameters, using the following formula: in, Let n be the ultimate load of the lifting ring, and n be the number of lifting points. This is the dynamic load factor. The coefficient of inequivalence, This is the lifting angle.

4. The method for selecting lifting rings for energy storage cabinets as described in claim 3, characterized in that, The dynamic load factor ranges from 1.1 to 1.3, and the non-uniformity factor ranges from 1.05 to 1.

2.

5. The method for selecting lifting rings for energy storage cabinets as described in claim 1, characterized in that, The steps of determining the effective cross-sectional area of ​​the lifting ring based on its design stress, and determining the design specifications of the lifting ring based on its ultimate load and effective cross-sectional area, include: The design stress of the lifting ring is determined based on the material correction factor, and the effective cross-sectional area of ​​the lifting ring is determined based on the design stress of the lifting ring. The numerical range of the material correction factor is between 0 and 1. The design specifications for the lifting ring are determined based on its ultimate load and effective cross-sectional area. The design specifications are to select a lifting ring whose target load-bearing capacity is greater than the ultimate load of the lifting ring and whose target effective cross-sectional area is greater than the effective cross-sectional area of ​​the lifting ring as the target lifting ring.

6. The method for selecting lifting rings for energy storage cabinets as described in claim 5, characterized in that, The steps of determining the design stress of the lifting ring based on the material correction factor, and determining the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring, include: The design stress of the lifting ring is determined based on the material correction factor, and the calculation method is as follows: in, For design stress, This represents the original yield strength of the material. This is a material correction factor, which is determined by the thread engagement factor and the impact toughness factor. The effective cross-sectional area of ​​the lifting ring is determined based on the design stress of the lifting ring.

7. The method for selecting lifting rings for energy storage cabinets as described in claim 6, characterized in that, The step of determining the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring includes: The effective cross-sectional area of ​​the lifting ring is determined based on its design stress, and the calculation method is as follows: in, Where g is the effective cross-sectional area, g is the gravitational acceleration, and S is the safety factor.

8. A selection system for lifting rings of an energy storage cabinet, characterized in that, include: The calculation module is used to determine the total weight based on the total weight of all elements of the energy storage cabinet, which includes the weight of the battery pack inside the energy storage cabinet, the weight of the electrical components, the weight of the cabinet itself, the weight of the liquid cooling module, and the weight of the components. A setting module is connected to the calculation module. The setting module is used to determine model parameters based on the total weight of the energy storage cabinet. The model parameters include the number of lifting points, dynamic load coefficient, unevenness coefficient, and lifting angle, wherein the lifting angle is less than or equal to 45°. A load module, connected to the setting module, is used to determine the ultimate load of the lifting ring based on the model parameters; The design module is connected to the load module. The design module is used to determine the effective cross-sectional area of ​​the lifting ring based on the design stress of the lifting ring, and to determine the design specifications of the lifting ring based on the ultimate load of the lifting ring and the effective cross-sectional area of ​​the lifting ring.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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