Wiring optimization method and system for new energy storage case

Abstract

The invention relates to the technical field of electric power storage, and provides a wiring optimization method and system for a new energy storage case. The method comprises the following steps: acquiring a wiring device of the new energy storage case, wherein the wiring device is a device supporting multi-directional bending adjustment of a cable; acquiring a bending monitoring data set of the cable based on the wiring device, and outputting bending parameter-energy consumption loss distribution data according to the bending monitoring data set; the bending parameter-energy consumption loss distribution data are compared with first preset energy consumption loss data, and constraint bending parameters are determined; and performing path optimization in the new energy storage case by using the constraint bending parameter to obtain a cable wiring path. The technical problem that the power storage effect is affected due to high energy loss and short line service life caused by multi-directional bending of the cable in the new energy storage case is solved, and the technical effects of optimal energy consumption wiring based on dynamic bending constraint, reduction of transmission loss, prolonging of the service life of the cable and improvement of the energy storage efficiency and reliability are achieved.

Description

Technical Field

[0001] The present application relates to the field of power storage technology, and specifically to a wiring optimization method and system for new energy storage chassis. Background Art

[0002] As a key carrier of the energy storage system, the new energy storage chassis needs to integrate a large number of cables and equipment in a limited space. The rationality of its wiring design directly determines the system efficiency, safety and operation and maintenance costs.

[0003] As power density and space utilization increase, the complexity of cable routing within energy storage chassis is increasing. To accommodate connections between multiple components, cables often need to be bent in multiple directions within a limited space. Traditional routing methods typically prioritize geometrically shortest paths or obstacle-avoiding paths, with little consideration given to the cable's energy consumption and physical performance losses during bending. For example, paths with high bending frequencies or large bending angles can significantly increase the cable's conductivity, mechanical lifespan, and energy consumption per unit path. However, existing methods struggle to identify and control these potential routing weaknesses.

[0004] Therefore, this contradiction between space utilization efficiency, mechanical safety and energy transmission efficiency has become the core bottleneck restricting the improvement of the reliability of new energy storage systems. Summary of the Invention

[0005] This application provides a wiring optimization method and system for new energy storage chassis, aiming to solve the technical problems of high energy loss and short line life caused by multi-directional bending of cables in new energy storage chassis, thereby affecting the power storage effect.

[0006] The first aspect disclosed in the present application provides a wiring optimization method for a new energy storage chassis, the method comprising: obtaining a wiring device for the new energy storage chassis, the wiring device being a device that supports multi-directional bending adjustment of cables; obtaining a bending monitoring data set of the cable based on the wiring device, and outputting bending parameter-energy loss distribution data according to the bending monitoring data set; determining constrained bending parameters based on the bending parameter-energy loss distribution data and first preset energy loss data, the constrained bending parameters including bending direction constraints and bending quantity constraints; performing path optimization in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path.

[0007] Another aspect disclosed in the present application provides a wiring optimization system for a new energy storage chassis, the system comprising: a wiring device acquisition module for acquiring a wiring device of the new energy storage chassis, the wiring device being a device that supports multi-directional bending adjustment of the cable; a bending monitoring data analysis module for acquiring a bending monitoring data set of the cable based on the wiring device, and outputting bending parameter-energy loss distribution data according to the bending monitoring data set; a loss data comparison module for comparing the bending parameter-energy loss distribution data with a first preset energy loss data to determine a constrained bending parameter, the constrained bending parameter including a bending direction constraint and a bending quantity constraint; a path optimization module for performing path optimization in the new energy storage chassis using the constrained bending parameters to acquire a cable wiring path.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: The above-mentioned wiring optimization method for new energy energy storage chassis obtains a wiring device for the new energy energy storage chassis, and the wiring device is a device that supports multi-directional bending adjustment of cables; obtains a bending monitoring data set of the cable based on the wiring device, and outputs bending parameter-energy loss distribution data according to the bending monitoring data set; then compares the bending parameter-energy loss distribution data with the first preset energy loss data to determine the constrained bending parameters, and the constrained bending parameters include bending direction constraints and bending quantity constraints; finally, the constrained bending parameters are used to perform path optimization in the new energy energy storage chassis to obtain the cable wiring path, realize energy-optimal wiring based on dynamic bending constraints, and reduce transmission losses, extend cable service life, and improve energy storage efficiency and reliability. Technical effect.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 The figure is a flow chart of a wiring optimization method for a new energy energy storage chassis in one embodiment.

[0012] Figure 2The following is a diagram of the wiring optimization system architecture for a new energy storage chassis in one embodiment.

[0013] Figure 3 A circular diagram of energy loss per unit length of a wiring optimization method for a new energy storage chassis in one embodiment.

[0014] Description of the reference numerals: wiring device acquisition module 11 , bending monitoring data analysis module 12 , loss data comparison module 13 , path optimization module 14 . DETAILED DESCRIPTION

[0015] The embodiments of the present application provide a wiring optimization method and system for a new energy storage chassis to solve the technical problem that the cables in the new energy storage chassis have high energy loss and short line life due to multi-directional bending, thereby affecting the power storage effect.

[0016] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Example 1, as Figure 1 As shown, the present application provides a wiring optimization method for a new energy storage chassis, the method comprising: Obtain a wiring device for a new energy energy storage chassis, wherein the wiring device is a device that supports multi-directional bending adjustment of cables.

[0019] In an embodiment of the present application, in a new energy storage chassis, a wiring device is a device specifically used to support and guide cables. Before performing wiring optimization, the wiring devices of the new energy storage chassis will be obtained. The design goal of these wiring devices is to ensure that the cables can be flexibly arranged inside the chassis while avoiding energy loss, cable loss or shortened life due to excessive bending. Specifically, these wiring devices have the function of adjusting the bending angle and direction of the cables, so that in a limited space, the cables can be laid out according to a predetermined path, thereby reducing the adverse effects of bending. Wiring devices usually adopt a modular mechanical structure with built-in rotatable guide wheels, adaptive articulated joints and elastic damping layers, and realize flexible bending of cables in the X / Y / Z three-axis directions through a robotic arm or a slide rail device. The surface of the device is provided with a radius calibration slot (≥5mm) and an angle limiter (continuous bending ≤45°) to ensure that the cable is always within the elastic deformation safety threshold during the bending process. By using these wiring devices, the layout of cables inside the energy storage chassis can be effectively optimized, so that it can meet performance requirements in a complex chassis environment while minimizing energy loss and the risk of line failure.

[0020] A bending monitoring data set of the cable based on the wiring device is obtained, and bending parameter-energy loss distribution data is output according to the bending monitoring data set.

[0021] In one embodiment, based on basic information such as the material properties of the cable (such as the conductivity of the copper core, the flexibility of the insulation layer), and the adjustable directional parameters of the wiring device (such as the distribution of bending entrances and exits), a single-point local bending simulation model is established. The model simulates the deformation state of the cable in different bending directions (such as 30° forward and 45° sideways), and collects data such as bending radius and angle in real time. These data can reflect the stress on the cable during the wiring process. Subsequently, the elastic deformation energy loss, conductive energy loss, and transmission energy loss caused by elastic deformation are calculated for each bending direction. The three types of energy consumption data are integrated through weight distribution (such as elastic deformation energy loss accounts for 0.3, conductive energy loss accounts for 0.5, and transmission energy loss accounts for 0.2) to generate the energy loss distribution corresponding to the bending parameters (radius, angle), and output it in the form of bending parameter-energy loss distribution data. For example, when the cable is bent at an angle of 45° and a radius of 5mm in the wiring device, its comprehensive energy loss reaches 1.8%. After increasing the radius to 8mm and compressing the angle to 30°, the loss can be reduced to 0.9%. Figure 3As shown, each point in the circular graph of energy loss per unit length represents the energy loss per unit length of the cable (including the weighted sum of elastic deformation loss, conductive loss, and transmission loss) in a specific bending direction. The center point of the circular graph of energy loss per unit length represents an angle of 0°, which defaults to due north (which can be regarded as a reference direction). The graph rotates clockwise, and the angle increases from 0° to 360°, corresponding to different bending directions of the cable. The farther the curve is from the center point, the higher the energy consumption caused by bending in that direction. In summary, through this type of data mapping, the bending parameter range that meets the energy consumption threshold and mechanical constraints is automatically screened out, providing dynamic boundary conditions for subsequent path planning, ensuring that global wiring meets the safety requirements of single-point bending, and reduces unnecessary energy loss.

[0022] Table 1: Energy loss data table Bending angle (°) Bending radius (mm) Elastic deformation energy loss (%) Conductive energy loss (%) Transmission energy loss (%) Comprehensive energy loss (%) 30 5 0.12 0.25 0.08 0.177 30 8 0.1 0.2 0.07 0.144 45 5 0.18 0.3 0.15 0.234 45 8 0.15 0.27 0.12 0.204 Table 1 above shows energy loss data for cables at different bend angles and radii, including elastic deformation energy loss, electrical conductivity energy loss, transmission energy loss, and overall energy loss. Overall energy loss is calculated based on the weights of each energy loss (30% for elastic deformation, 50% for electrical conductivity, and 20% for transmission). This data is used to analyze the cable's energy performance under different bending conditions and provide a basis for subsequent path optimization design.

[0023] Furthermore, the present application provides a method for obtaining a bending monitoring dataset of the cable based on the wiring device, the method comprising: Obtain basic information of the cable and basic information of the wiring device; wherein, the basic information of the cable includes cable material information, cable geometry information and cable structure information, and the basic information of the wiring device includes the distribution of bending entrance and exit directions of the wiring device; modeling is performed based on the basic information of the cable and the basic information of the wiring device to obtain a single-point local bending simulation model, and the single-point local bending simulation model is called to test the bending monitoring data set of the cable in various directions on the wiring device.

[0024] Preferably, to obtain bend monitoring data, detailed basic cable information must first be collected. This information includes cable material information, cable geometry information, and cable structure information. Cable material information refers to the cable's conductive material (such as copper or aluminum) and its conductive properties, such as the conductor material copper core conductivity of 58MS / m and the insulation layer material cross-linked polyethylene elastic modulus of 1.2GPa. This data can be obtained from the product manual. Cable geometry information includes information such as the cable's diameter, length, and shape (round, square, etc.). Cable structure information involves structural design details such as the arrangement of wires within the cable and the thickness of the insulation layer. Similarly, basic wiring device information is also collected, including the distribution of bend entry and exit directions. The bend entry and exit direction distribution refers to the distribution of cable bend entry and exit directions at various locations within the wiring device, that is, the layout of the cable within the device. Typically, wiring device designs specify bending paths in different directions, as well as the allowable bend angles and radius ranges on these paths. Subsequently, by inputting the above-mentioned basic information of the cable and the basic information of the wiring device into the simulation software (such as ANSYS, COMSOL), by defining the material properties, geometric shape, boundary conditions and loading external forces, a single-point local bending simulation model is established to simulate the bending of the cable in the wiring device. This model mainly focuses on simulating the performance of the cable at a single bending point, including deformation, stress and possible energy loss during bending. After the modeling is completed, the cable is tested using the simulation model. The model simulates the performance of the cable in different directions and at different bending angles, and generates a set of bending monitoring data sets containing various directions and bending degrees. This data set records the detailed bending characteristics of each bending point, including the bending radius, bending angle, and elastic deformation during the bending process, as well as changes in conductivity and transmission performance. Through this process, the bending condition of the cable in the wiring device can be accurately grasped, providing the necessary data support for the subsequent optimization of the cable layout path and the reduction of energy loss.

[0025] For example, the basic parameters of a cable are as follows: the cable type is copper core conductor, the cable diameter is 6mm, the cable length is 10m, the shape is round, the copper core conductivity in the material information is 58MS / m, the insulation layer material is cross-linked polyethylene (XLPE), the cross-linked polyethylene elastic modulus is 1.2GPa, the internal wire arrangement in the cable structure information is multi-strand twisted wire, the insulation layer thickness is 0.5mm, the wiring device model in the wiring device basic information is an adjustable bending path wiring device, the bending entrance and exit direction distribution is left in and right out, the bending radius limit is a minimum bending radius of 5mm, and the bending angle limit is a maximum bending angle of 45°. By inputting these basic parameters into the simulation software, a single-point local bending simulation model is constructed for bending simulation in various directions.

[0026] Furthermore, the present application provides a method for calling the single-point local bending simulation model to test a bending monitoring data set of the cable in various directions on the wiring device, the method comprising: According to the distribution of the bending entrances and exits of the wiring device, the cable bending entrance and the cable bending exit are determined, and the number of the cable bending exits is at least 2; the cable bending entrance and the multiple cable bending exits are combined to obtain multiple entrance and exit combinations; and the single-point local bending simulation model is called to test the bending monitoring data set of the cable based on the multiple entrance and exit combinations.

[0027] Optionally, the routing device's bend entry and exit direction distribution provides information about the cable's bend entry and exit directions. Based on this information, the cable's bend entry and exit locations are determined. The bend entry is typically selected as the chassis power access point or fixed-end interface. The bend exit is selected in at least two directions (e.g., a 30° left-facing, 45° right-facing, or a 60° diagonal channel) based on the target device's space constraints and cabling requirements, ensuring smooth cable connection to the various components of the energy storage system. After determining the bend entry and multiple exits, multiple combinations of bend entry and exit paths are matched to generate different bend path combinations. Each combination represents a different cable routing method from entry to exit. Each combination has a different bend angle and radius. For example, if a routing device contains three bend channels (A / B / C), combinational logic is used to generate multiple paths, such as A entry-B exit and A entry-C exit. These combinations affect the cable's bending pattern, thereby affecting its stress distribution and energy loss. Subsequently, a single-point local bending simulation model is used to simulate cable behavior under different entry and exit combinations. For each inlet-outlet combination (such as A→B), the simulation model simulates the performance of the cable under this bending path, automatically calculating the strain distribution and bending-induced change data of the cable at a given bending radius (such as 5mm) and angle (45°), thereby generating a bending monitoring dataset. This bending monitoring dataset includes the bending radius, bending angle, stress distribution, and elastic deformation, conductivity, and transmission performance changes during the bending process under each bending path. It will help further evaluate the working efficiency and possible energy loss of the cable under different combinations, and provide data support for subsequent path optimization, thereby minimizing energy loss and extending cable life.

[0028] Furthermore, the present application provides a method for testing the elastic deformation energy loss, conductive energy loss and transmission energy loss of the cable in each bending direction based on the bending monitoring data set; performing weight calculation based on the elastic deformation energy loss, conductive energy loss and transmission energy loss, and outputting the total energy loss data corresponding to each bending direction; and obtaining the bending parameter-energy loss distribution data based on the total energy loss data corresponding to each bending direction.

[0029] Optionally, based on the bending monitoring data set, the cable is tested in detail in each bending direction to calculate and analyze the following three main energy losses: elastic deformation energy loss, conductive energy loss, and transmission energy loss. For elastic deformation energy loss, the formula Calculate the elastic deformation energy density per unit volume, and then perform volume integration on the bending area corresponding to each bending direction to obtain the elastic deformation energy loss of the area, where: is the elastic deformation energy density per unit volume, is the stress of the cable during bending, is the strain of the cable during bending. For the conductive energy loss, it is calculated according to the formula The resistance of the bend is calculated and then applied according to the power calculation formula to obtain the conductive energy loss, where ρ is the resistivity of the cable material, L is the length of the current passing through the bend, and A is the cross-sectional area of ​​the cable. For transmission energy loss, the input power is subtracted from the output power. The three energy losses (elastic deformation, conductive, and transmission) are then weighted and summed to obtain the total energy loss for each bend direction. The weights are determined based on the actual application requirements. For example, if elastic deformation has a greater impact on system reliability, it can be assigned a higher weight. If current loss is a critical factor, conductive energy loss can be given a higher weight. Finally, based on the total energy loss data for each bend direction, the bend parameter-energy loss distribution data is generated. This dataset shows the energy loss distribution for different bend angles, bend radii, and directions. This distribution data provides an intuitive understanding of which bend directions and bend degrees have the greatest impact on system energy efficiency, providing decision support for cabling optimization.

[0030] For example, when the total input power is 100W and the machine is working continuously for 1 hour, the total input energy is 360,000J. is 120 MPa, the strain ϵ is 0.005, and the volume V of the bending area is ,So, = , = , the elastic deformation energy loss is 0.00083%. For the conductive energy loss, the resistivity of copper is 0.00000175Ω·m, the length of the current passing through the bending part is 5m, the current is 5A, and the cross-sectional area of ​​the cable is 0.0001m 2 ,So, , , , the conductive energy loss is 2.19%, for the transmission energy loss, the output power is 95W, then, , , the transmission energy loss is 5%.

[0031] The constrained bending parameters are determined by comparing the bending parameter-energy loss distribution data with the first preset energy loss data. The constrained bending parameters include bending direction constraints and bending quantity constraints.

[0032] In one embodiment, after obtaining the bending parameter-energy loss distribution data, the bending parameter-energy loss distribution data is compared with first preset energy loss data. The energy loss data of the wiring device in each bending direction is analyzed to identify the minimum bending direction (the direction with the lowest energy loss) and the maximum bending direction (the direction with the highest energy loss). Subsequently, based on this analysis, bending direction constraints are generated. These constraints specify the allowable bending directions of the cable during the routing process to avoid bending in directions with high energy loss. For example, if the energy loss in the maximum bending direction is significantly higher than a preset value, that direction is excluded, and the cable can only be bent in other allowable directions. The energy loss data for the minimum and maximum bending directions is then further analyzed to determine the maximum number of bends allowed during the routing process, thereby determining the bend count constraint. This constraint specifies the maximum number of bends allowed during the routing process to avoid energy loss accumulation due to excessive bends. Finally, based on the obtained bend direction constraints and bend count constraints, constrained bending parameters are formulated. These constraint parameters are used to optimize the routing in subsequent routing design to ensure that the cable operates under optimal bending conditions, thereby minimizing energy loss and improving energy storage efficiency and system reliability.

[0033] Furthermore, the present application provides a method for determining a constrained bending parameter by comparing the bending parameter-energy loss distribution data with first preset energy loss data, the method comprising: Among them, the bending parameter-energy loss distribution data is the bending parameter-energy loss distribution data based on a single node of the wiring device; the minimum bending direction and the maximum bending direction among the various bending directions of the wiring device are analyzed to obtain the corresponding bending direction constraints under the first preset energy loss data; the energy loss data of the minimum bending direction and the energy loss data of the maximum bending direction among the various bending directions of the wiring device are analyzed to obtain the corresponding bending quantity constraints under the first preset energy loss data; the constrained bending parameters are determined based on the bending quantity constraints and the bending direction constraints.

[0034] Preferably, the obtained bending parameter-energy loss distribution data is the energy loss test results for each node in the wiring device. The bending conditions (e.g., bend direction and angle) of each node will affect energy consumption. Based on the data recorded in the bending parameter-energy loss distribution data, by comparing the energy loss data for each direction, the direction with the lowest bending loss is found. This direction is the optimal wiring direction and helps reduce energy consumption. Similarly, all bending directions are analyzed to identify the bending direction with the highest loss. This direction should be avoided or restricted in wiring design as it increases unnecessary energy loss. Subsequently, the minimum and maximum bending directions are compared with preset first preset energy loss data. This comparison helps determine which bending directions have energy losses exceeding a preset standard, and constraints are set for these directions. For the minimum bending direction, a maximum energy loss value can be set, requiring that the wiring device bend in this direction not exceed this energy loss threshold. For the maximum bending direction, a minimum energy loss value is set, and large bends in this direction are avoided or the number of times this direction can be used is limited. In different bending directions, in addition to the bending angle, the number of bends will also affect the energy loss. According to the first preset energy loss data, the maximum number of bends allowed for the cable during the wiring process is calculated. Specifically, assuming that the cable needs to be bent n times during the wiring process, some of the bends occur in the minimum bending direction and some occur in the maximum bending direction, the formula is used. Calculate the total energy loss, where k is the number of bends occurring in the direction of minimum bending, is the energy loss in the direction of minimum bending, is the energy loss in the maximum bending direction. Then, the upper limit of the total energy loss according to the first preset energy loss data is used to calculate the inequality A solution is then performed to determine the maximum allowable number of bends, n. Based on the calculated results, a bend quantity constraint is generated. This constraint specifies the maximum number of bends allowed during the cable routing process to ensure that the total energy loss does not exceed a preset value. Finally, the bend direction constraint and bend quantity constraint are combined to generate constrained bending parameters. These parameters will be used to guide subsequent routing path optimization, ensuring that the cable routing process meets both spatial and mechanical requirements while keeping energy losses within a preset range. This process effectively limits the high-energy-consumption bending behavior of the cable during routing, thereby optimizing the routing solution, reducing energy losses, and extending the cable's service life.

[0035] Furthermore, the present application provides that after obtaining the wiring device of the new energy storage chassis, the method further includes: Determine whether the wiring devices of the new energy storage chassis are of the same model. If the wiring devices of the new energy storage chassis include multiple models, obtain multiple sets of bending monitoring data sets of the cable based on multiple models of wiring devices, and output multiple bending parameter-energy loss distribution data corresponding to multiple models of wiring devices according to the multiple sets of bending monitoring data sets; perform collaborative analysis on the multiple bending parameter-energy loss distribution data, and update the constrained bending parameters.

[0036] Preferably, by comparing the model of each wiring device in the chassis, it is checked whether the wiring devices used in the new energy storage chassis are of the same model. If all wiring devices are of the same model, the constrained bending parameters can be obtained using the aforementioned method. Conversely, if the wiring devices include multiple models, each model of wiring device needs to be processed separately. When the wiring device models of the new energy storage chassis are different, basic wiring device information (such as the distribution of bend entrance and exit directions) is collected for each wiring device model. A single-point local bending simulation model is used to simulate the bending behavior of the cable on the wiring device of that model, generating a corresponding bending monitoring dataset. Based on this bending monitoring dataset, corresponding bending parameter-energy loss distribution data is generated. This data reflects the bending performance and energy consumption characteristics of the cable on different wiring device models. Subsequently, based on the multiple bending parameter-energy loss distribution data, the energy loss data of different wiring device models in the same bending direction are compared to identify common patterns and differences. For example, certain bending directions exhibit high energy loss on all wiring device models, while certain directions perform poorly only on specific models. Based on multiple bend parameter-energy loss distribution data, bend directions with high energy loss across all or most cabling device models are identified. These high-energy loss bend directions are marked as requiring restrictions to prevent cable bending in these directions. The total energy loss of different cabling device models is then analyzed for different bend counts. For example, some cabling device models experience significant energy loss increases after multiple bends, while others remain relatively stable. Based on this analysis, a maximum number of bends applicable to all cabling device models is determined to ensure that the total energy loss does not exceed a preset value. Based on the identification of high-energy loss bend directions, bend direction constraints are updated, specifically restricting cable bends in high-energy loss directions and prioritizing bend directions with lower energy loss. Similarly, based on an analysis of the impact of bend count on energy loss, bend quantity constraints are updated, specifically setting a maximum number of bends applicable to all cabling device models to ensure that cables do not exceed this number during routing to prevent energy loss accumulation. Finally, the updated bend direction and bend quantity constraints are combined to generate new constrained bend parameters. These parameters are used to guide subsequent routing path optimization to ensure that cable routing on different cabling device models meets energy loss requirements. Through this process, multiple sets of bending parameter-energy loss distribution data can be effectively and collaboratively analyzed, and the constrained bending parameters can be updated to optimize the wiring scheme, reduce overall energy loss, and improve the performance and life of the energy storage system.

[0037] Path optimization is performed in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path.

[0038] In one embodiment, after determining the constrained bending parameters (including bend direction and bend number constraints), the next step is to perform path optimization within the new energy storage chassis to obtain the optimal cable routing path. Specifically, key nodes within the new energy storage chassis (such as power points and device connection points) are identified and initial connection paths are generated. These paths represent the basic routes that cables may traverse. Subsequently, these initial connection paths are optimized using a path optimization algorithm (such as the Kruskal algorithm, Dijkstra algorithm, or A* algorithm). These algorithms can help find the shortest path or the path with the lowest energy consumption. During the optimization process, the location of obstacles is considered to ensure that the cable path avoids obstacles within the chassis. The path optimization algorithm generates an optimized cable routing path. The bending constraints are then used to restrict the direction and number of bends allowed during routing, ensuring that the cable does not bend in directions with high energy consumption and that the number of bends does not exceed a set maximum value. This results in an optimal path that meets the bending constraint parameters while minimizing energy loss and the number of bends. Through this process, the optimal cable routing path can be obtained in the new energy storage chassis, ensuring that the cable layout can meet both spatial and mechanical requirements while keeping energy losses within a preset range, thereby improving the overall performance and reliability of the energy storage system.

[0039] Furthermore, the present application provides a method for performing path optimization in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path, the method comprising: The key nodes of the new energy energy storage chassis are obtained, and an initial connection path is generated based on the position of the key nodes; the initial connection path is optimized using Kruskal to obtain an optimized initial connection path, and the optimized initial connection path is optimized using the constrained bending parameters to obtain a cable wiring path.

[0040] Optionally, during path planning, key nodes within the new energy storage chassis must be identified and obtained. These nodes are typically major components within the chassis, such as battery packs, inverters, and charge / discharge controllers. These nodes are critical locations where cabling must connect, so the coordinates of each key node are recorded as a basis for path planning. Subsequently, an initial connection path is generated based on the locations of the key nodes. This initial connection path is typically formed by connecting the key nodes with straight lines or simple curves, but this path may contain significant curvature or a suboptimal layout. If there are obstacles within the chassis (such as equipment or racks), these obstacles must be avoided during the initial path generation. After the initial connection path is determined, it is optimized using the Kruskal algorithm, a commonly used algorithm for the minimum spanning tree (MST) problem, which is suitable for solving the shortest path problem in a connected graph. In this case, the Kruskal algorithm can be used to optimize the path connections so that the connections between key nodes minimize the total connection distance and energy loss. During the Kruskal algorithm, all key nodes are treated as independent points in the graph, and the distance or cost between each pair of nodes is calculated. All edges (i.e., the connection paths between every two nodes) are then sorted by distance or energy loss, starting with the shortest edge and gradually connecting the nodes. If the selected edge does not form a loop, it is added to the connection path; if a loop is formed, it is skipped. This algorithm ensures that the total length (or cost) of the connection path is minimized while avoiding unnecessary loops. The connection path optimized by the Kruskal algorithm can ensure that the connection between each node meets the minimum distance while avoiding unnecessary power loss. Based on the path optimized by the Kruskal algorithm, constrained bending parameters (including bending direction constraints and bending number constraints) are further applied to the path optimization. The purpose of this step is to ensure that the optimized path can avoid excessive bends or unreasonable bending angles in actual applications, reduce energy loss, and improve system stability. Specifically, a bend direction constraint is applied to ensure that cables do not bend in high-energy-consumption directions during routing. If a high-energy-consumption bend direction exists in the optimized path, the path is adjusted to select a low-energy-consumption direction. A bend number constraint is applied to ensure that the number of cable bends does not exceed a set maximum value. If the optimized path has too many bends, the number of bends is reduced by adjusting the path shape or adding intermediate nodes. After applying the bend constraint and optimizing the path, the final cable routing path is generated. This path not only connects all key nodes but also meets the requirements of bend and path optimization, effectively reducing energy loss and making the routing process more compact and efficient.Through this process, the optimal cable routing path can be obtained in the new energy storage chassis, ensuring that the cable layout can meet both spatial and mechanical requirements while keeping energy losses within a preset range, thereby improving the overall performance and reliability of the energy storage system.

[0041] Furthermore, the present application provides a method for generating an initial connection path, which further includes: Obtain the obstacle distribution position of the new energy energy storage chassis, perform initial connection according to the obstacle distribution position and the position of the key node, and update the initial connection path.

[0042] Optionally, the chassis design drawings can be used to determine the location of obstacles within the new energy storage chassis. Obstacles may include other hardware components, structural supports, air conditioning and cooling systems, vents, circuit boards, and so on. Recording the location coordinates and spatial occupancy of each obstacle provides a basis for subsequent path avoidance calculations during path planning. Subsequently, the initial connection path determined based on key nodes is traversed to check whether the path intersects with obstacles or is too close (less than the minimum spacing). If the path intersects or is too close to an obstacle, the path is marked as requiring adjustment. For paths that conflict with obstacles, obstacles can be circumvented by adding intermediate nodes or modifying the path shape. For example, a straight path can be converted to a broken line or an arc can be generated around the obstacle. While avoiding obstacles, the path length is minimized to reduce cable usage and energy loss. Finally, the adjusted path is updated as the new initial connection path, which serves as the basis for subsequent path optimization (such as using the Kruskal algorithm). This ensures that the path planning process considers both the connection of key nodes and obstacle avoidance. Through this process, an initial connection path that meets actual constraints can be generated in the new energy storage chassis, providing a reliable foundation for subsequent path optimization and wiring solutions.

[0043] Furthermore, the present application provides a method for obtaining a cable routing path, which further includes: The dense curved path of the cable wiring path is detected in real time; when a density index of the dense curved path is less than a preset density index, the cable wiring path is fed back for optimization, and an optimized cable wiring path is output.

[0044] Preferably, after generating a cable routing path, densely curved areas within the path are detected in real time to identify densely curved paths within the routing path. This step aims to ensure that the bends within the routing are not overly concentrated, thereby avoiding localized high energy losses. During this process, the cable routing path is traversed, and all bend points (i.e., points where the path direction changes significantly) are identified. The bend density (i.e., the number of bends per unit length) near each bend point is calculated. Areas where the bend density exceeds a preset threshold are considered densely curved paths. The bend density of each densely curved path is then used as a density index and compared with a preset density index, which is an upper limit set based on design requirements and used to determine whether the densely curved path is acceptable. If the density index of a region exceeds the preset value, feedback optimization is performed in that region to optimize the cable routing path. Specifically, the number of bends in the densely curved area can be reduced by adding intermediate nodes or changing the path direction. For example, multiple small-angle bends can be combined into a large-angle bend, or the bend density can be reduced by smoothing the curve. The bend directions are then reallocated based on the constrained bending parameters (bend direction constraint and bend number constraint) to avoid excessive bending in high-energy-consuming directions. While minimizing dense bends, the path length is kept to a minimum to reduce cable usage and energy loss. After feedback optimization, an optimized cable routing path is obtained. This path achieves a more even distribution of bends, avoids areas with excessive bend density, and effectively reduces energy loss caused by excessive bends, thereby ensuring stable and efficient power transmission.

[0045] In summary, the embodiments of the present application have at least the following technical effects: The embodiment of the present application obtains a wiring device for a new energy storage chassis, and the wiring device is a device that supports multi-directional bending adjustment of cables; obtains a bending monitoring data set of the cable based on the wiring device, and outputs bending parameter-energy loss distribution data according to the bending monitoring data set; compares the bending parameter-energy loss distribution data with the first preset energy loss data to determine the constrained bending parameters, and the constrained bending parameters include bending direction constraints and bending quantity constraints; uses the constrained bending parameters to perform path optimization in the new energy storage chassis to obtain the cable wiring path. These technical effects jointly solve the technical problem that the cables in the new energy storage chassis have high energy loss and short line life due to multi-directional bending, thereby affecting the power storage effect, and realize the energy-optimal wiring based on dynamic bending constraints, reducing transmission losses, extending cable service life, and improving energy storage efficiency and reliability.

[0046] Embodiment 2 is based on the same inventive concept as the wiring optimization method for the new energy storage chassis in the previous embodiment. Figure 2As shown, the present application provides a wiring optimization system for a new energy energy storage chassis, and the system includes: a wiring device acquisition module 11: acquiring a wiring device of the new energy energy storage chassis, wherein the wiring device is a device that supports multi-directional bending adjustment of the cable; a bending monitoring data analysis module 12: acquiring a bending monitoring data set of the cable based on the wiring device, and outputting bending parameter-energy loss distribution data according to the bending monitoring data set; a loss data comparison module 13: determining a constrained bending parameter based on the bending parameter-energy loss distribution data and a first preset energy loss data by comparing the bending parameter-energy loss distribution data, wherein the constrained bending parameter includes a bending direction constraint and a bending quantity constraint; a path optimization module 14: performing path optimization in the new energy energy storage chassis using the constrained bending parameter to obtain a cable wiring path.

[0047] Furthermore, the bending monitoring data analysis module 12 is further configured to perform the following method: Obtain basic information of the cable and basic information of the wiring device; wherein, the basic information of the cable includes cable material information, cable geometry information and cable structure information, and the basic information of the wiring device includes the distribution of bending entrance and exit directions of the wiring device; modeling is performed based on the basic information of the cable and the basic information of the wiring device to obtain a single-point local bending simulation model, and the single-point local bending simulation model is called to test the bending monitoring data set of the cable in various directions on the wiring device.

[0048] Furthermore, the bending monitoring data analysis module 12 is further configured to perform the following method: The cable is tested for elastic deformation energy loss, conductive energy loss and transmission energy loss in each bending direction according to the bending monitoring data set; weight calculation is performed based on the elastic deformation energy loss, conductive energy loss and transmission energy loss, and the total energy loss data corresponding to each bending direction is output; based on the total energy loss data corresponding to each bending direction, the bending parameter-energy loss distribution data is obtained.

[0049] Furthermore, the bending monitoring data analysis module 12 is further configured to perform the following method: According to the distribution of the bending entrances and exits of the wiring device, the cable bending entrance and the cable bending exit are determined, and the number of the cable bending exits is at least 2; the cable bending entrance and the multiple cable bending exits are combined to obtain multiple entrance and exit combinations; and the single-point local bending simulation model is called to test the bending monitoring data set of the cable based on the multiple entrance and exit combinations.

[0050] Furthermore, the loss data comparison module 13 is further configured to perform the following method: Determine whether the wiring devices of the new energy storage chassis are of the same model. If the wiring devices of the new energy storage chassis include multiple models, obtain multiple sets of bending monitoring data sets of the cable based on multiple models of wiring devices, and output multiple bending parameter-energy loss distribution data corresponding to multiple models of wiring devices according to the multiple sets of bending monitoring data sets; perform collaborative analysis on the multiple bending parameter-energy loss distribution data, and update the constrained bending parameters.

[0051] Furthermore, the loss data comparison module 13 is further configured to perform the following method: Among them, the bending parameter-energy loss distribution data is the bending parameter-energy loss distribution data based on a single node of the wiring device; the minimum bending direction and the maximum bending direction among the various bending directions of the wiring device are analyzed to obtain the corresponding bending direction constraints under the first preset energy loss data; the energy loss data of the minimum bending direction and the energy loss data of the maximum bending direction among the various bending directions of the wiring device are analyzed to obtain the corresponding bending quantity constraints under the first preset energy loss data; the constrained bending parameters are determined based on the bending quantity constraints and the bending direction constraints.

[0052] Furthermore, the path optimization module 14 is further configured to execute the following method: The key nodes of the new energy energy storage chassis are obtained, and an initial connection path is generated based on the position of the key nodes; the initial connection path is optimized using Kruskal to obtain an optimized initial connection path, and the optimized initial connection path is optimized using the constrained bending parameters to obtain a cable wiring path.

[0053] Furthermore, the path optimization module 14 is further configured to execute the following method: Obtain the obstacle distribution position of the new energy energy storage chassis, perform initial connection according to the obstacle distribution position and the position of the key node, and update the initial connection path.

[0054] Furthermore, the path optimization module 14 is further configured to execute the following method: The dense curved path of the cable wiring path is detected in real time; when a density index of the dense curved path is less than a preset density index, the cable wiring path is fed back for optimization, and an optimized cable wiring path is output.

[0055] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0057] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A wiring optimization method for a new energy storage chassis, characterized in that: The method comprises: Obtaining a wiring device for a new energy storage chassis, wherein the wiring device is a device that supports multi-directional bending adjustment of cables; Acquiring a bending monitoring data set of the cable based on the wiring device, and outputting bending parameter-energy loss distribution data according to the bending monitoring data set; Determine constrained bending parameters according to the comparison between the bending parameter-energy loss distribution data and the first preset energy loss data, wherein the constrained bending parameters include bending direction constraints and bending quantity constraints; Path optimization is performed in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path.

2. The wiring optimization method for a new energy storage chassis according to claim 1, characterized in that: Obtaining a bending monitoring data set of the cable based on the wiring device, the method comprising: Obtaining basic information of the cable and basic information of the wiring device; The basic information of the cable includes cable material information, cable geometry information and cable structure information, and the basic information of the wiring device includes the distribution of the bending entrance and exit directions of the wiring device; Modeling is performed based on the basic information of the cable and the basic information of the wiring device to obtain a single-point local bending simulation model, and the single-point local bending simulation model is called to test a bending monitoring data set of the cable in various directions on the wiring device.

3. The wiring optimization method for a new energy storage chassis according to claim 2, characterized in that: Testing the elastic deformation energy loss, conductive energy loss, and transmission energy loss of the cable in each bending direction according to the bending monitoring data set; Perform weighted calculation based on the elastic deformation energy loss, conductive energy loss, and transmission energy loss, and output total energy loss data corresponding to each bending direction; According to the total energy loss data corresponding to each bending direction, the bending parameter-energy loss distribution data is obtained.

4. The wiring optimization method for a new energy storage chassis according to claim 2, characterized in that: Calling the single-point local bending simulation model to test a bending monitoring data set of the cable in various directions on the wiring device, the method comprising: Determining a cable bending entrance and a cable bending exit according to the distribution of bending entrances and exits of the wiring device, wherein the number of the cable bending exits is at least 2; Combining the cable bending inlet and the plurality of cable bending outlets to obtain a plurality of inlet and outlet combinations; The single-point local bending simulation model is called to test a bending monitoring data set of the cable based on the plurality of entrance and exit combinations.

5. The wiring optimization method for a new energy storage chassis according to claim 1, characterized in that: After obtaining the wiring device of the new energy storage chassis, the method further includes: Determine whether the wiring components of the new energy storage chassis are of the same model, if the wiring components of the new energy storage chassis include multiple models; Acquire multiple sets of bending monitoring data sets based on multiple types of wiring devices for the cable, and output multiple bending parameter-energy loss distribution data corresponding to multiple types of wiring devices according to the multiple sets of bending monitoring data sets; The plurality of bending parameter-energy loss distribution data are collaboratively analyzed to update the constrained bending parameters.

6. The wiring optimization method for a new energy storage chassis according to claim 1, characterized in that: According to the bending parameter-energy loss distribution data and the first preset energy loss data, the constrained bending parameter is determined, and the method include: Wherein, the bending parameter-energy loss distribution data is the bending parameter-energy loss distribution data based on a single node of the wiring device; Analyzing the minimum bending direction and the maximum bending direction among the bending directions of the wiring device to obtain the bending direction constraint corresponding to the first preset energy loss data; Analyzing energy loss data of a minimum bending direction and energy loss data of a maximum bending direction in each bending direction of the wiring device to obtain a bending quantity constraint corresponding to the first preset energy loss data; The constrained bending parameters are determined based on the bending quantity constraint and the bending direction constraint.

7. The wiring optimization method for a new energy storage chassis according to claim 6, characterized in that: Optimizing a path in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path includes: Obtain key nodes of the new energy storage chassis, and generate an initial connection path based on the positions of the key nodes; The initial connection path is optimized using Kruskal to obtain an optimized initial connection path, and the optimized initial connection path is optimized using the constrained bending parameters to obtain a cable wiring path.

8. The wiring optimization method for a new energy storage chassis according to claim 7, characterized in that: Generating an initial connection path, the method further includes: Obtain the obstacle distribution position of the new energy energy storage chassis, perform initial connection according to the obstacle distribution position and the position of the key node, and update the initial connection path.

9. The wiring optimization method for a new energy storage chassis according to claim 1, characterized in that: Obtaining a cable routing path, the method further includes: detecting in real time the densely curved path of the cable routing path; The dense index of the dense curved path is less than a preset dense index, and the cable wiring path is fed back for optimization, and an optimized cable wiring path is output.

10. The wiring optimization system for new energy storage chassis is characterized by: The system is used to execute the wiring optimization method for a new energy storage chassis according to any one of claims 1 to 9, comprising: Wiring device acquisition module: obtains the wiring device of the new energy storage chassis, wherein the wiring device is a device that supports multi-directional bending adjustment of the cable; A bending monitoring data analysis module is configured to obtain a bending monitoring data set of the cable based on the wiring device, and output bending parameter-energy loss distribution data according to the bending monitoring data set; A loss data comparison module is configured to compare the bending parameter-energy loss distribution data with the first preset energy loss data to determine the constrained bending parameters, wherein the constrained bending parameters include a bending direction constraint and a bending quantity constraint; Path optimization module: performs path optimization in the new energy storage chassis using the constrained bending parameters to obtain a cable wiring path.

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