Charging pile anti-IK impact performance optimization method and device and storage medium

Abstract

The invention relates to a charging pile anti-IK impact performance optimization method and device and a storage medium, and the method comprises the steps: calculating the bending and torsional rigidity of a charging pile; setting each IK impact center point on the charging pile according to a preset bending and torsional rigidity change gradient based on the bending and torsional rigidity of the charging pile; determining radiation points corresponding to the IK impact center points based on the IK impact center points, and recording coordinates of the IK impact center points and coordinates of the radiation points; performing an anti-IK impact test on the charging pile according to the IK impact center point coordinates and the radiation point coordinates to obtain mechanical property data of the charging pile; risk area prediction is carried out on the mechanical property data of the charging pile to obtain a high-risk area of the charging pile; according to the method, the bending-torsional rigidity optimization design is carried out on the high-risk area of the charging pile, so that the high-risk area is converted into the low-risk area, the optimized charging pile structure is obtained, and the problems that the IK impact resistance optimization cost of the charging pile is high and the efficiency is low are solved.

Description

Technical Field

[0001] The present application relates to the technical field of charging pile simulation, and in particular to a method, device and storage medium for optimizing the anti-IK impact performance of a charging pile. Background Art

[0002] Charging piles that match new energy vehicles have ushered in rapid development under the background of national infrastructure construction. In daily work, charging piles are sometimes impacted by hard objects (such as talc, bricks), and the outer shell or internal components of the charging pile are likely to be damaged by the impact, causing the IP protection performance of the charging pile structure to be damaged, thereby affecting the overall structural sealing protection performance of the charging pile, and the electrical performance cannot work normally. Therefore, IK impact performance evaluation is a mandatory requirement of the corresponding national standards and regulations that must be met before charging pile products are put on the market.

[0003] IK impact technology is applicable to the environmental adaptability evaluation of electronic and electrical products and is used to assess the robustness of electronic and electrical products. The ability of charging piles to resist IK impact is an important indicator of their safety and riot-proof performance. The IK impact resistance level is a hard requirement for whether they can be put on the market for sale. Before they can be put on the market for sale, they must meet the minimum national standards of the country where they are sold. For charging pile equipment, especially fixed charging equipment and mobile charging equipment, the higher the IK impact resistance level, the stronger the market competitiveness of the equipment.

[0004] At present, charging pile products need to pass IK impact regulations certification and obtain the corresponding IK impact resistance certification before they can be put on the market. However, due to the differences in test personnel and operating methods, the test results are usually not very consistent, and the guidance for product improvement design is poor. On the one hand, a lot of manpower and material resources are wasted, and ideal test results are not obtained; on the other hand, if the product does not meet the standards after the test, the R&D personnel will optimize it again and make a prototype for drop test. This will not only prolong the R&D cycle, but also waste a lot of materials and increase R&D costs. After the certification is passed, there may be a potential IK anti-riot product quality risk due to the limited number of certification test samples and limited IK impact points. Large-scale products on the market will also have the risk of increased after-sales costs.

[0005] With regard to the problems of high cost and low efficiency in optimizing the anti-IK impact performance of charging piles in related technologies, no effective solution has been proposed so far. Summary of the invention

[0006] In this embodiment, a method, device and storage medium for optimizing the anti-IK impact performance of a charging pile are provided to solve the problem of high cost and low efficiency in optimizing the anti-IK impact performance of a charging pile in the related art.

[0007] In the first aspect, a method for optimizing the anti-IK impact performance of a charging pile is provided in this embodiment, comprising: Calculating the bending and torsional stiffness of the charging pile; Based on the bending and torsional stiffness of the charging pile, and according to a preset bending and torsional stiffness change gradient, each IK impact center point is set on the charging pile; Determine each radiation point corresponding to each IK impact center point based on each IK impact center point, and record the coordinates of each IK impact center point and the coordinates of each radiation point, wherein each IK impact center point is the center of a circle where each radiation point is located; According to the coordinates of the IK impact center points and the coordinates of the radiation points, an IK impact resistance test is performed on the charging pile to obtain mechanical performance data of the charging pile; Predicting the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; The high-risk area of ​​the charging pile is optimized in bending and torsional stiffness design to convert the high-risk area into a low-risk area, thereby obtaining an optimized charging pile structure.

[0008] In some embodiments, the calculating the bending and torsional stiffness of the charging pile includes: In combination with the material constitutive model of the charging pile, based on the material damage criterion, the bending and torsional stiffness of the charging pile is calculated by the finite element simulation method; wherein the material constitutive model of the charging pile includes strain rate plastic hardening parameters, creep aging performance parameters and different temperature performance parameters.

[0009] In some embodiments, determining each radiation point corresponding to each IK impact center point based on each IK impact center point includes: Taking each IK impact center point as the center of the circle and radiating outward with a preset radiation length as the radius to form a radiation layer, until the radiation layer of the current IK impact center point overlaps with the radiation layer of the adjacent IK impact center point, the radiation is stopped, and each radiation layer corresponding to each IK impact center point is obtained; A preset number of radiation points are acquired on each radiation layer corresponding to each IK impact center point to obtain each radiation point corresponding to each IK impact center point.

[0010] In some embodiments, the mechanical performance data of the charging pile includes: stress field, strain field and damage data of the charging pile.

[0011] In some embodiments, the risk area prediction of the mechanical property data of the charging pile to obtain the high-risk area of ​​the charging pile includes: Establishing a genetic algorithm model according to the low risk evaluation index and high risk evaluation index of the IK impact of the charging pile; The mechanical property data of the charging pile is input into the genetic algorithm model to predict the risk area, and the high-risk area of ​​the charging pile is obtained.

[0012] In some embodiments, the inputting the mechanical property data of the charging pile into the genetic algorithm model to predict the risk area to obtain the high-risk area of ​​the charging pile includes: The stress field, strain field and damage data of the charging pile are used as genetic operators and input into the genetic algorithm model for crossover and mutation calculations to obtain the risk levels corresponding to the IK impact center points and the radiation points. Among the risk levels corresponding to the IK impact center points and the radiation points, the area where the risk level is lower than a preset risk threshold is identified as a low-risk area of ​​the charging pile, and the area where the risk level exceeds the preset risk threshold is identified as a high-risk area of ​​the charging pile.

[0013] In some embodiments, the bending and torsional stiffness optimization design of the high-risk area of ​​the charging pile is performed to convert the high-risk area into a low-risk area to obtain an optimized charging pile structure, including: By using the genetic algorithm model, the maximum mechanical property data of the high-risk area of ​​the charging pile and the maximum mechanical property data of the low-risk area of ​​the charging pile are calculated respectively; Taking the maximum mechanical property data of the high-risk area as the constraint condition and the maximum mechanical property data of the low-risk area as the optimization direction, based on the RSM experimental design principle, the bending-torsion stiffness optimization design of the high-risk area of ​​the charging pile is performed to obtain the optimized bending-torsion stiffness of the high-risk area; Through the simulation software structure optimization module, the high-risk area of ​​the charging pile is topologically optimized so that the bending-torsion stiffness of the high-risk area of ​​the charging pile reaches the optimized bending-torsion stiffness of the high-risk area, and the optimized bending-torsion stiffness of the charging pile is obtained; Based on the optimized bending and torsional stiffness of the charging pile, a new IK impact center point and radiation point are reselected, and a new round of anti-IK impact finite element simulation test is carried out on the charging pile. Based on the test results, the high-risk area is continuously optimized until all the high-risk areas are converted into low-risk areas, and the geometric model of the charging pile is output.

[0014] In the second aspect, in this embodiment, a charging pile anti-IK impact performance optimization device is provided, including: a calculation module, an impact point setting module, a simulation test module, a prediction module and an optimization adjustment module, wherein: The calculation module is used to calculate the bending and torsional stiffness of the charging pile; The impact point setting module is used to set each IK impact center point on the charging pile based on the bending and torsional stiffness of the charging pile and according to a preset bending and torsional stiffness change gradient; determine each radiation point corresponding to each IK impact center point based on each IK impact center point, and record the coordinates of each IK impact center point and the coordinates of each radiation point, wherein each IK impact center point is the center of the circle where each radiation point is located; The simulation test module is used to perform an anti-IK impact test on the charging pile according to the coordinates of the IK impact center points and the coordinates of the radiation points to obtain the mechanical performance data of the charging pile; The prediction module is used to predict the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; The optimization and adjustment module is used to optimize the bending and torsional stiffness design of the high-risk area of ​​the charging pile, so as to convert the high-risk area into a low-risk area to obtain an optimized charging pile structure.

[0015] In a third aspect, an electronic device is provided in this embodiment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for optimizing the anti-IK impact performance of the charging pile described in the first aspect is implemented.

[0016] In a fourth aspect, a storage medium is provided in this embodiment, on which a computer program is stored, and when the program is executed by a processor, the method for optimizing the anti-IK impact performance of a charging pile described in the first aspect above is implemented.

[0017] Compared with the related art, the method for optimizing the anti-IK impact performance of the charging pile provided in this embodiment calculates the bending and torsional stiffness of the charging pile; based on the bending and torsional stiffness of the charging pile, according to the preset bending and torsional stiffness change gradient, each IK impact center point is set on the charging pile; based on each IK impact center point, each radiation point corresponding to each IK impact center point is determined, and the coordinates of each IK impact center point and each radiation point coordinate are recorded, wherein each IK impact center point is the center of the circle where each radiation point is located; according to the coordinates of each IK impact center point and the coordinates of each radiation point, performing an IK impact resistance test on the charging pile to obtain the mechanical performance data of the charging pile; performing risk area prediction on the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; performing bending and torsional stiffness optimization design on the high-risk area of ​​the charging pile to convert the high-risk area into a low-risk area, and obtaining an optimized charging pile structure, which solves the problem of high cost and low efficiency in optimizing the anti-IK impact performance of the charging pile, reduces the cost of optimizing the anti-IK impact performance of the charging pile, and improves the efficiency of optimizing the anti-IK impact performance of the charging pile.

[0018] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 : is a hardware structure block diagram of a terminal of the charging pile anti-IK impact performance optimization method of this embodiment; Figure 2 is a flow chart of the method for optimizing the anti-IK impact performance of a charging pile in this embodiment; Figure 3 is a flow chart of another method for optimizing the anti-IK impact performance of a charging pile according to the present embodiment; Figure 4 It is a structural block diagram of the charging pile anti-IK impact performance optimization device of this embodiment. DETAILED DESCRIPTION

[0020] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0021] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with general skills in the technical field to which this application belongs. The words "one", "a", "the", "these" and the like in this application do not indicate a quantitative limitation, and they may be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone. Generally, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "first", "second", "third", etc. in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0022] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. For example, running on a terminal, Figure 1 : is a hardware structure block diagram of a terminal of the method for optimizing the anti-IK impact performance of a charging pile in this embodiment. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 and a memory 104 for storing data, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. The above terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0023] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for optimizing the anti-IK impact performance of the charging pile in the present embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0024] The transmission device 106 is used to receive or send data via a network. The above network includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0025] In this embodiment, a method for optimizing the anti-IK impact performance of a charging pile is provided. Figure 2 : is a flow chart of the method for optimizing the anti-IK impact performance of a charging pile in this embodiment. Figure 2 As shown, the process includes the following steps: Step S201, calculating the bending and torsional stiffness of the charging pile.

[0026] Specifically, bending and torsional stiffness is a physical quantity that describes the ability of an object to resist deformation when subjected to bending and torsional external forces. Specifically, it mainly includes bending stiffness and torsional stiffness. Bending stiffness, also known as bending stiffness, is a physical quantity that describes the ability of an object to resist deformation when subjected to bending force. Its calculation formula is usually EI, where E represents the elastic modulus of the material, reflecting the ability of the material to resist tension or compression under elastic deformation; I represents the moment of inertia of the cross section, describing the degree of resistance of the cross-sectional shape and size to bending deformation. The larger the value of bending stiffness, the stronger the ability of the object to resist bending deformation. Torsional stiffness refers to the ability of an object to resist torsional deformation when subjected to torsional force. Its calculation formula is usually GJ / L, where GJ represents the torsional stiffness coefficient, which is related to the shear modulus and cross-sectional geometric properties of the material; L is the length of the torsional force. The larger the value of torsional stiffness, the stronger the ability of the object to resist torsional deformation. The bending and torsional stiffness of the charging pile is calculated by finite element simulation method. Finite Element Analysis (FEA) uses simulation software to perform strength verification, modal analysis, and dynamic simulation on the structure to evaluate and optimize the performance of the design solution. Use CAD software to build a three-dimensional model of the charging pile and export it to a format that can be recognized by the finite element simulation software. Import the model into the finite element simulation software, set the material properties according to the actual situation of the charging pile, mesh the model, select the appropriate unit type and mesh density, and set reasonable boundary conditions (such as fixed constraints, displacement constraints, etc.) according to the actual working conditions of the charging pile. Apply corresponding loads (such as bending loads, torsion loads, etc.) to the charging pile to simulate the stress conditions of the charging pile in actual work, run the finite element simulation software, perform iterative solutions, obtain the displacement, stress and other response results of the equipment, and calculate the bending stiffness and torsional stiffness of the equipment according to the solution results. Among them, the bending and torsional stiffness of the charging pile can also be calculated in other ways, and this embodiment does not specifically limit this.

[0027] Step S202: Based on the bending and torsional stiffness of the charging pile and according to a preset bending and torsional stiffness change gradient, each IK impact center point is set on the charging pile.

[0028] Specifically, the IK grade impact test standard is used to test the protective ability of the product shell when encountering a collision, and is formulated by the International Electrotechnical Commission (IEC). The IK grade ranges from IK00 (no protection) to IK11 (high protection), and the higher the number, the stronger the impact resistance of the product. For example, the IK10 grade corresponds to an impact energy of 20J, and a greater external force is required to have a significant impact on the product shell. According to the bending and torsional stiffness of the charging pile at different positions measured by finite element analysis or experimental testing, a bending and torsional stiffness change gradient value is set. For example, for every 5% change in the bending and torsional stiffness of the charging pile, an IK impact center point is set, where the bending and torsional stiffness change gradient can be set according to actual conditions, and this is not specifically limited in this embodiment. By setting the IK impact center point by a preset bending and torsional stiffness change gradient, the complex structure of the charging pile equipment can be fully considered, thereby improving the accuracy of the anti-IK impact detection results.

[0029] Step S203, based on each IK impact center point, each radiant point corresponding to each IK impact center point is determined, and the coordinates of each IK impact center point and each radiant point are recorded, wherein each IK impact center point is the center of the circle where each radiant point is located.

[0030] After determining each IK impact center point, in order to further improve the accuracy of the IK impact test results, based on each IK impact center point, corresponding radiation points are set around each IK impact center point, where each radiation point can be distributed on a concentric circle with each IK impact center point as the center, and can be evenly distributed or unevenly distributed, or the position and number of the radiation points can be set in combination with the bending and torsional stiffness of adjacent IK impact center points. The specific distribution position and number can be set according to actual conditions. After setting each radiation point, record the coordinate position of each IK impact center point and each radiation point for subsequent charging pile anti-IK impact test.

[0031] Step S204: performing an IK impact resistance test on the charging pile according to the coordinates of each IK impact center point and each radiation point coordinate to obtain mechanical performance data of the charging pile.

[0032] Specifically, the recorded coordinates of each IK impact center point and each radiation point are imported into the simulation model. Through the matching algorithm, the corresponding points in the simulation model are made to coincide with the imported coordinate points. According to the matched coordinate points, the spatial posture of the IK impact standard hammer is determined to ensure that the position, direction and posture of the hammer are consistent with the experimental or measured data. According to the IK impact standard (such as IK10, etc.), the size, direction and duration of the impact load are set, and the corresponding impact load is applied in the finite element model to simulate the IK impact process. Run the simulation model and perform finite element calculations. During the calculation process, the simulation software will automatically solve the mechanical properties data such as the stress field, strain field and damage data of the charging pile. After the simulation is completed, the mechanical properties data of the charging pile are output.

[0033] Step S205 , predicting the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile.

[0034] The mechanical performance data of the charging pile is obtained according to the simulated IK impact test, and the risk area of ​​the charging pile is identified by analyzing the mechanical performance data of the charging pile. The identification method may include machine learning method, statistical analysis method or reliability analysis. The machine learning method may use supervised learning algorithm (such as random forest, support vector machine) or deep learning algorithm (such as neural network) to train the mechanical performance data and predict high-risk areas; the statistical analysis method may use regression analysis, cluster analysis and other methods based on historical data to identify high-risk areas; the reliability analysis may combine reliability theory to calculate the failure probability of key areas. The identification of high-risk areas includes the identification of stress concentration areas, that is, areas where the stress exceeds the yield strength of the material, which are prone to plastic deformation or fracture; the identification of fatigue risk areas, that is, areas with large stress amplitude under alternating loads, which are prone to fatigue failure; or the identification of areas with excessive deformation, that is, areas where the deformation exceeds the allowable range, which may affect the function and safety of the charging pile.

[0035] Step S206, performing a bending and torsional stiffness optimization design on the high-risk area of ​​the charging pile to convert the high-risk area into a low-risk area, thereby obtaining an optimized charging pile structure.

[0036] Specifically, after identifying the high-risk areas of the charging pile, adjust the parameters of the high-risk areas to improve the IK impact resistance of the high-risk areas. The optimization design can be an optimized structural design: strengthen the structural strength of the high-risk areas, such as adding reinforcing ribs, using thicker materials, etc., to improve the impact resistance of the charging pile; or optimize the shape of the charging pile, such as using a streamlined design, to reduce stress concentration during impact and improve the overall impact resistance of the charging pile. Or optimize the charging pile material: Selecting high-strength and high-toughness materials can improve the impact resistance of the charging pile. For example, high-strength aluminum alloys or composite materials can be used. These materials can better absorb and disperse impact energy when impacted, reducing the degree of damage to the charging pile; or use materials with good elasticity and toughness, and use rubber or plastic materials in the outer shell or key parts of the charging pile. Or optimize the connection parts: such as using a stronger connection method (such as welding, riveting, etc.) or increasing the strength of the connection parts to improve the impact resistance of the charging pile; or add redundant design to the connection parts, such as increasing the number of connection points or using multiple connection methods to improve the reliability of the connection parts and reduce the damage to the charging pile caused by the failure of the connection parts. Or through simulation and experimental optimization, the bending and torsional stiffness can be improved by adjusting the geometric parameters of the charging pile structure (such as cross-sectional dimensions, wall thickness, etc.). A parametric model can be set in the finite element analysis software, and the optimization algorithm (such as genetic algorithm, particle swarm optimization algorithm, etc.) can be used to automatically search for the optimal parameter combination. The bending and torsional stiffness of the high-risk area is increased to a certain level, so that it is transformed into a low-risk area, thereby obtaining an optimized charging pile structure. The specific target value can be determined according to the design specifications and actual use requirements of the charging pile.

[0037] Through the above steps S201 to S206, the bending and torsional stiffness of the charging pile is calculated; based on the bending and torsional stiffness of the charging pile, each IK impact center point is set on the charging pile according to the preset bending and torsional stiffness change gradient; based on each IK impact center point, each radiation point corresponding to each IK impact center point is determined, and the coordinates of each IK impact center point and each radiation point coordinate are recorded, wherein each IK impact center point is the center of a circle where each radiation point is located; according to the coordinates of each IK impact center point and the coordinates of the radiation point, an IK impact resistance test is performed on the charging pile to obtain the mechanical performance data of the charging pile; risk area prediction is performed on the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; the bending and torsional stiffness optimization design is performed on the high-risk area of ​​the charging pile to convert the high-risk area into a low-risk area to obtain an optimized charging pile structure. Compared with the prior art, which conducts multiple IK impact tests manually, this embodiment sets the impact point of the IK impact standard hammer head according to the preset bending and torsional stiffness change gradient based on the bending and torsional stiffness of the charging pile, sets the impact center point and the corresponding radiation point, and conducts the anti-IK impact test based on the set impact center point and radiation point, fully considering the complexity of the charging pile structure and improving the accuracy of the IK impact test results; then, based on the mechanical performance data of the charging pile obtained by the IK impact test, the data is risk assessed to obtain the high-risk area of ​​the charging pile, and the high-risk area is automatically optimized to obtain the optimized charging pile structure. It can automatically complete the setting of the impact point and the optimization of the high-risk area according to the set program, reducing the cost of optimizing the anti-IK impact performance of the charging pile and improving the efficiency of the anti-IK impact performance of the charging pile.

[0038] In some embodiments, calculating the bending and torsional stiffness of the charging pile includes: Combined with the material constitutive model of the charging pile and based on the material damage criterion, the flexural and torsional stiffness of the charging pile is calculated through the finite element simulation method; wherein, the material constitutive model of the charging pile includes strain rate plastic hardening parameters, creep aging performance parameters and different temperature performance parameters.

[0039] Specifically, the bending and torsional stiffness test of the charging pile is affected by the material constitutive structure, temperature, etc. In order to improve the accuracy of the test results, the material constitutive model and material damage criterion of the charging pile will be combined for test calculations in this embodiment. Among them, the material constitutive model of the charging pile includes strain rate plastic hardening parameters, creep aging performance parameters and different temperature performance parameters. The strain rate plastic hardening parameters describe the plastic deformation behavior of the material at different strain rates. Usually include strain hardening index (n), strain rate sensitivity index (m) and plastic hardening modulus (Ep), etc. These parameters reflect the change law of the yield stress of the material during the loading process as the strain and strain rate increase. The creep aging performance parameters describe the performance degradation of the material during long-term service due to factors such as time and temperature. These parameters include creep strain, creep damage variable (D), creep life (tr), etc. The material constitutive model of the charging pile is affected by the temperature parameters. The mechanical properties of the material will change with the change of temperature. Different temperature performance parameters reflect the changes in the mechanical properties of the material at different temperatures, including elastic modulus, yield strength, tensile strength, etc. When establishing the material constitutive model, temperature-related parameters are introduced to reflect the mechanical properties of the material at different temperatures. In order to meet the adaptability of the charging pile in different environments, this embodiment tests the bending and torsional stiffness of the charging pile at different temperatures to improve the accuracy of the test results. For example, the test is carried out under extreme temperatures of 40°C or 80°C. Among them, the material constitutive model of the charging pile can adopt a double-layer viscoplastic constitutive model, and use the optimization tool to obtain the material parameters of the constitutive model at different temperatures to establish a temperature-related double-layer viscoplastic constitutive model. This model can well predict the stress-strain behavior of the material in different temperature ranges. Through these parameters, the constitutive model of the charging pile material can fully describe the behavior of the material under complex mechanical and environmental conditions. The strain rate plastic hardening parameter reflects the deformation characteristics of the material under dynamic loading; the creep aging performance parameter is used to evaluate the long-term reliability of the material; and the different temperature performance parameters ensure the applicability of the material in different environments.

[0040] In the finite element simulation, the effect of material damage on the bending and torsional stiffness of the charging pile also needs to be considered. In this embodiment, an energy-based damage criterion or a strain-based damage criterion is used to evaluate the degree of damage of the material under different load and temperature conditions. The damage evolution model is used to predict the effect of material damage on the stiffness of the charging pile. In the finite element simulation, the geometric model, material properties, boundary conditions and load conditions of the charging pile are defined, and the temperature parameters and material damage are combined to accurately simulate the mechanical behavior of the charging pile at different temperatures, and the bending and torsional stiffness at different temperatures is obtained.

[0041] In another embodiment, determining each radiation point corresponding to each IK impact center point based on each IK impact center point includes: With each IK impact center point as the center of the circle and a preset radiation length as the radius, radiate outward to form a radiation layer until the radiation layer of the current IK impact center point overlaps with the radiation layer of the adjacent IK impact center point, then stop radiating to obtain each radiation layer corresponding to each IK impact center point; obtain a preset number of radiation points on each radiation layer corresponding to each IK impact center point to obtain each radiation point corresponding to each IK impact center point.

[0042] Specifically, after the IK impact center point is set based on the bending and torsional stiffness of the charging pile, in order to more comprehensively detect the anti-IK impact performance of the charging pile, corresponding radiation points are set outside each IK impact center point. First, with each IK impact center point as the center of the circle, the radiation radius is set according to the size of the charging pile area. For example, if the width of the charging pile equipment is 100-200 mm, a 10 mm long radiation radius can be set. If the width of the charging pile equipment is 200-500 mm, a 20 mm long radiation radius can be set. According to the set radiation radius, radiate outward in sequence with the IK impact center point as the center of the circle to form a radiation layer until it overlaps with the radiation layer of the adjacent IK impact center point, and then stop radiating to obtain each radiation layer. Exemplarily, with the IK impact center point A as the center and 10 mm as the radiation radius, multiple concentric circles are obtained, each concentric circle is the radiation layer corresponding to the IK impact center point A. The first radiation layer is a circle with A as the center and a radius of 10 mm, the second radiation layer is a circle with A as the center and a radius of 20 mm, and so on, until the outermost concentric circle of the IK impact center point A overlaps with the outermost concentric circle of other adjacent IK impact center points, and the radiation is stopped to obtain each radiation layer corresponding to the IK impact center A. In order to make the IK impact test results more accurate, a preset number of IK impact radiation points are set on each radiation layer, for example, 12 IK impact radiation points are set on each radiation layer. The specific number of radiation points can be set according to actual needs, and this embodiment does not make specific restrictions on this. The radiation points can be set evenly or unevenly, and can be determined according to the distribution of other radiation points, and this embodiment does not make specific restrictions on this. In this way, the IK impact center points and IK impact radiation points of the charging pile are obtained.

[0043] In some of the embodiments, the mechanical performance data of the charging pile includes: stress field, strain field and damage data of the charging pile.

[0044] Specifically, when the charging pile is subjected to an IK impact test, the maximum strain, strain distribution, stress field, strain field, acceleration data, damage data, reaction force data, impact energy data, etc. are involved. In this embodiment, the stress field, strain field and damage data of the charging pile are used as reference data to optimize the structure of the charging pile. The stress field data reflects the stress distribution of each point inside the charging pile when it is subjected to external force. Stress is the internal force per unit area, usually in Pascal (Pa). In the test, it can be measured by a stress sensor. The strain field data describes the degree of deformation of each point of the charging pile when it is subjected to external force. Strain is the relative deformation of a material after being subjected to force, usually expressed as a dimensionless percentage. In the IK impact test, strain data can be measured by setting a strain gauge on the outer shell of the charging pile. The damage data reflects the degree of damage to the material or structure of the charging pile after it is subjected to external force. The damage can be manifested as cracks, deformations, fractures, etc. Damage prediction and analysis can be performed through simulation software.

[0045] In another embodiment, risk area prediction is performed on the mechanical performance data of the charging pile to obtain high-risk areas of the charging pile, including: A genetic algorithm model was established based on the IK impact low-risk evaluation index and high-risk evaluation index of the charging pile. The mechanical property data of the charging pile was input into the genetic algorithm model to predict the risk area and obtain the high-risk area of ​​the charging pile.

[0046] Specifically, first, the low-risk evaluation index and high-risk evaluation index of the IK impact of the charging pile are set based on the experiment. For example, the low-risk evaluation index can be that the maximum stress of the charging pile in the IK impact test does not exceed the yield strength of the material, the maximum strain does not exceed the elongation at break of the material, and the degree of damage is small. The high-risk evaluation index can be that the maximum stress of the charging pile in the IK impact test exceeds the yield strength of the material, the maximum strain is close to or exceeds the elongation at break of the material, and the degree of damage is large. According to the low-risk and high-risk evaluation indicators, a fitness function is defined to evaluate the pros and cons of each solution, thereby establishing a genetic algorithm model. The fitness function may include stress field, strain field, and damage data. The mechanical properties data of the charging pile are input into the genetic algorithm model, and the input mechanical properties data are processed by the genetic algorithm model to obtain the high-risk area of ​​the charging pile. The model will evaluate the risk level of each area according to the fitness function and finally determine the high-risk area. For example, in a certain IK impact test, the mechanical properties data of the charging pile were analyzed using a genetic algorithm model, and it was found that certain parts of the charging pile had concentrated stress, large strain, and high degree of damage when impacted. These parts were identified as high-risk areas; for example, the genetic algorithm model was used to predict the risk areas of the mechanical properties data of the charging pile. The results showed that the connection parts and supporting structures of the charging pile were easily damaged when impacted. These parts were also identified as high-risk areas.

[0047] In some embodiments, the mechanical property data of the charging pile is input into the genetic algorithm model to predict the risk area, and the high-risk area of ​​the charging pile is obtained, including: The stress field, strain field and damage data of the charging pile are used as genetic operators and input into the genetic algorithm model for crossover and mutation calculations to obtain the risk levels corresponding to each IK impact center point and each radiation point. Among the risk levels corresponding to each IK impact center point and each radiation point, the area with a risk level lower than a preset risk threshold is identified as a low-risk area of ​​the charging pile, and the area with a risk level exceeding the preset risk threshold is identified as a high-risk area of ​​the charging pile.

[0048] Specifically, predicting the high-risk area of ​​the charging pile through the genetic algorithm model includes: inputting the stress field, strain field and damage data of the charging pile into the genetic algorithm model, using the stress field, strain field and damage data as genetic operators, each operator represents the mechanical performance data of a specific area of ​​the charging pile, performing crossover and mutation calculations through the genetic algorithm model, obtaining the risk degree corresponding to each IK impact center point and each radiation point, dividing the risk area of ​​the charging pile according to the preset risk evaluation index, i.e., the risk threshold, and identifying the area with a risk degree lower than the preset risk threshold among the risk degrees corresponding to each IK impact center point and each radiation point as the low-risk area of ​​the charging pile, and identifying the area with a risk degree exceeding the preset risk threshold as the high-risk area of ​​the charging pile. For example, in a certain IK impact test, the stress field, strain field and damage data of the charging pile are analyzed through the genetic algorithm model, and it is found that some parts of the charging pile have concentrated stress, large strain and high damage degree when impacted, and these parts are determined as high-risk areas.

[0049] In another embodiment, the bending and torsional stiffness of the high-risk area of ​​the charging pile is optimized to convert the high-risk area into a low-risk area, and an optimized charging pile structure is obtained, including: Through the genetic algorithm model, the maximum mechanical property data of the high-risk area of ​​the charging pile and the maximum mechanical property data of the low-risk area of ​​the charging pile are calculated respectively; with the maximum mechanical property data of the high-risk area as the constraint condition and the maximum mechanical property data of the low-risk area as the optimization direction, based on the RSM experimental design principle, the bending and torsional stiffness of the high-risk area of ​​the charging pile is optimized to obtain the optimized bending and torsional stiffness of the high-risk area; through the simulation software structure optimization module, the high-risk area of ​​the charging pile is topologically optimized to make the bending and torsional stiffness of the high-risk area of ​​the charging pile reach the optimized bending and torsional stiffness of the high-risk area, and the optimized bending and torsional stiffness of the charging pile is obtained; based on the optimized bending and torsional stiffness of the charging pile, a new IK impact center point and radiation point are re-selected, and a new round of anti-IK impact finite element simulation test is carried out on the charging pile, and the high-risk area is continuously optimized based on the test results until all high-risk areas are converted to low-risk areas, and the geometric model of the charging pile is output.

[0050] Specifically, the maximum stress, maximum strain and maximum damage data of the high-risk area of ​​the charging pile are calculated by the genetic algorithm model. These data will be used as constraints for subsequent optimization design. The maximum stress, maximum strain and maximum damage data of the low-risk area of ​​the charging pile are calculated by the genetic algorithm model. These data will be used as the optimization direction for subsequent optimization design. The principles of RSM experimental design include clarifying the goal, selecting appropriate experimental design methods, reasonably setting the experimental range, randomizing the experimental sequence, repeating experiments, data analysis and model construction, optimization and verification, and iterative improvement. By following these principles, process parameters can be efficiently optimized and a reliable mathematical model can be established. Taking the maximum mechanical property data of the high-risk area as the constraint condition and the maximum mechanical property data of the low-risk area as the optimization direction, based on the RSM experimental design principle, the bending and torsional stiffness of the high-risk area of ​​the charging pile is optimized to obtain the optimized bending and torsional stiffness of the high-risk area. The RSM experimental design principle can help determine the optimization objective function and constraint conditions, where the optimization objective function can be the bending and torsional stiffness of the high-risk area, and the constraint condition can be the mechanical property data of the low-risk area.

[0051] Based on the optimized bending and torsional stiffness of the charging pile, new IK impact center points and radiation points are reselected. These points will be used for a new round of anti-IK impact finite element simulation tests. Through simulation tests, the mechanical properties of the optimized charging pile under IK impact can be evaluated. Based on the test results, continue to optimize the high-risk areas. If the test results show that there are still high-risk areas, it is necessary to continue the optimization design until all high-risk areas are converted to low-risk areas. When all high-risk areas are converted to low-risk areas, output the optimized geometric model of the charging pile. Or when the number of optimization cycles reaches the preset number, end the loop iteration and output the optimized geometric model of the charging pile. This model will have better mechanical properties and safety, and can be used in actual charging pile design and manufacturing.

[0052] Charging piles are produced based on the optimized charging pile geometry model, and IK impact tests are carried out on the actually generated charging piles to verify the degree of optimization of the model.

[0053] This embodiment also provides a method for optimizing the IK impact resistance performance of a charging pile. Figure 3 FIG. 4 is a flow chart of another method for optimizing the anti-IK impact performance of a charging pile according to the present embodiment. Figure 3 As shown, the process includes the following steps: Step S301, combining the material constitutive model of the charging pile, based on the material damage criterion, and using the finite element simulation method, the bending and torsional stiffness of the charging pile is calculated; wherein the material constitutive model of the charging pile includes strain rate plastic hardening parameters, creep aging performance parameters, and different temperature performance parameters; Step S302, based on the bending and torsional stiffness of the charging pile, and according to a preset bending and torsional stiffness change gradient, setting each IK impact center point on the charging pile; Step S303, taking each IK impact center point as the center of the circle and radiating outward with a preset radiation length as the radius to form a radiation layer, until the radiation layer of the current IK impact center point overlaps with the radiation layer of the adjacent IK impact center point, then stopping the radiation to obtain each radiation layer corresponding to each IK impact center point; obtaining a preset number of radiation points on each radiation layer corresponding to each IK impact center point to obtain each radiation point corresponding to each IK impact center point; Step S304, recording the coordinates of each IK impact center point and each radiation point; Step S305, performing an anti-IK impact test on the charging pile according to the coordinates of each IK impact center point and each radiation point coordinate, to obtain stress field, strain field and damage data of the charging pile; Step S306, establishing a genetic algorithm model according to the low risk evaluation index and high risk evaluation index of the IK impact of the charging pile; Step S307, the stress field, strain field and damage data of the charging pile are used as genetic operators, input into the genetic algorithm model for crossover and mutation calculations, and the risk levels corresponding to the IK impact center points and the radiation points are obtained. Among the risk levels corresponding to the IK impact center points and the radiation points, the areas with risk levels lower than the preset risk threshold are identified as low-risk areas of the charging pile, and the areas with risk levels exceeding the preset risk threshold are identified as high-risk areas of the charging pile. Step S308, using a genetic algorithm model, respectively calculating the maximum mechanical property data of the high-risk area of ​​the charging pile and the maximum mechanical property data of the low-risk area of ​​the charging pile; taking the maximum mechanical property data of the high-risk area as a constraint condition and the maximum mechanical property data of the low-risk area as an optimization direction, based on the RSM experimental design principle, optimizing the bending-torsion stiffness of the high-risk area of ​​the charging pile, and obtaining the optimized bending-torsion stiffness of the high-risk area; Step S309, performing topological optimization design on the high-risk area of ​​the charging pile through the simulation software structure optimization module, so that the bending and torsional stiffness of the high-risk area of ​​the charging pile reaches the optimized bending and torsional stiffness of the high-risk area, and the optimized bending and torsional stiffness of the charging pile is obtained; Step S310, reselecting a new IK impact center point and a new radiation point based on the optimized bending and torsional stiffness of the charging pile, and performing a new round of anti-IK impact finite element simulation test on the charging pile to obtain test results; Step S311, determine whether there are still high-risk areas in the test results, if so, execute step S308; otherwise, execute step S312; Step S312, outputting a geometric model of the charging pile according to the optimized charging pile structure; Step S313, using the optimized geometric model of the charging pile to make a mold and perform actual IK impact verification on the charging pile actually produced.

[0054] Through the above steps S301 to S313, compared with the prior art of multiple manual IK impact tests, this embodiment calculates the bending and torsional stiffness of the charging pile equipment based on the finite element simulation method, sets the IK impact center point with the preset bending and torsional stiffness change amplitude, sets the radiation layer for each IK impact center point according to the preset radius growth amplitude, until it coincides with the radiation layer of other center points, sets a preset number of radiation points on each radiation layer, and locates the IK impact standard hammer head space posture according to the center point and the radiation point to perform the first round of finite element simulation, and outputs the equipment stress field, strain field and damage data. The stress field, strain field and damage data are used as genetic operators for crossover and mutation calculation, and the high-risk area is output. The high-risk area is automatically optimized for bending and torsional stiffness until the high-risk area is optimized to a low-risk area, and the optimized charging pile geometry is obtained, thereby obtaining the optimized charging pile geometry model. The charging pile equipment is impact tested by automatically setting the impact point, and the high-risk area is automatically optimized after the test results are obtained, thereby improving the optimization efficiency and reducing the optimization cost.

[0055] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here. For example, step S307 and step S308 can be interchanged.

[0056] In this embodiment, a device for optimizing the anti-IK impact performance of a charging pile is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. The terms "module", "unit", "subunit", etc. used below can implement a combination of software and / or hardware of predetermined functions. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0057] Figure 4 : is a structural block diagram of the device for optimizing the anti-IK impact performance of a charging pile in this embodiment. Figure 4 As shown, the device 40 includes: a calculation module 41, an impact point setting module 42, a simulation test module 43, a prediction module 44 and an optimization adjustment module 45, wherein: A calculation module 41 is used to calculate the bending and torsional stiffness of the charging pile; The impact point setting module 42 is used to set each IK impact center point on the charging pile based on the bending and torsional stiffness of the charging pile and according to a preset bending and torsional stiffness change gradient; determine each radiation point corresponding to each IK impact center point based on each IK impact center point, and record the coordinates of each IK impact center point and each radiation point coordinate, wherein each IK impact center point is the center of the circle where each radiation point is located; The simulation test module 43 is used to perform an anti-IK impact test on the charging pile according to the coordinates of each IK impact center point and each radiation point coordinate to obtain the mechanical performance data of the charging pile; The prediction module 44 is used to predict the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; The optimization and adjustment module 45 is used to optimize the bending and torsional stiffness design of the high-risk area of ​​the charging pile, so as to convert the high-risk area into a low-risk area and obtain an optimized charging pile structure.

[0058] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0059] In this embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0060] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0061] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program: S1, calculate the bending and torsional stiffness of the charging pile; S2, based on the bending and torsional stiffness of the charging pile, and according to the preset bending and torsional stiffness change gradient, each IK impact center point is set on the charging pile; S3, determining each radiation point corresponding to each IK impact center point based on each IK impact center point, and recording the coordinates of each IK impact center point and each radiation point, wherein each IK impact center point is the center of a circle where each radiation point is located; S4, performing an IK impact resistance test on the charging pile according to the coordinates of each IK impact center point and each radiation point, and obtaining mechanical performance data of the charging pile; S5, predicting the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; S6, optimizing the bending and torsional stiffness design of the high-risk area of ​​the charging pile to convert the high-risk area into a low-risk area, and obtaining an optimized charging pile structure.

[0062] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and will not be repeated in this embodiment.

[0063] In addition, in combination with the method for optimizing the anti-IK impact performance of a charging pile provided in the above embodiments, a storage medium may also be provided in this embodiment to implement the method. The storage medium stores a computer program; when the computer program is executed by a processor, any one of the methods for optimizing the anti-IK impact performance of a charging pile in the above embodiments is implemented.

[0064] It should be understood that the specific embodiments described herein are only used to explain the application, rather than to limit it. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of this application.

[0065] Obviously, the drawings are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar situations based on these drawings without creative work. In addition, it is understandable that although the work done in this development process may be complicated and lengthy, for ordinary technicians in the field, certain changes in design, manufacturing or production based on the technical content disclosed in this application are only conventional technical means and should not be regarded as insufficient content disclosed in this application.

[0066] The term "embodiment" in this application refers to a specific feature, structure or characteristic described in conjunction with the embodiment that can be included in at least one embodiment of the present application. The appearance of this phrase in various locations in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. It is clearly or implicitly understood by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

[0067] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0068] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the attached claims.

Claims

1. A method for optimizing the anti-IK impact performance of a charging pile, characterized in that: include: Calculating the bending and torsional stiffness of the charging pile; Based on the bending and torsional stiffness of the charging pile, and according to a preset bending and torsional stiffness change gradient, each IK impact center point is set on the charging pile; Determine each radiation point corresponding to each IK impact center point based on each IK impact center point, and record the coordinates of each IK impact center point and the coordinates of each radiation point, wherein each IK impact center point is the center of a circle where each radiation point is located; According to the coordinates of the IK impact center points and the coordinates of the radiation points, an IK impact resistance test is performed on the charging pile to obtain mechanical performance data of the charging pile; Predicting the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; The high-risk area of ​​the charging pile is optimized in bending and torsional stiffness design to convert the high-risk area into a low-risk area, thereby obtaining an optimized charging pile structure.

2. The method for optimizing the anti-IK impact performance of a charging pile according to claim 1, characterized in that: The calculation of the bending and torsional stiffness of the charging pile includes: combining the material constitutive model of the charging pile, based on the material damage criterion, and calculating the bending and torsional stiffness of the charging pile through a finite element simulation method; wherein the material constitutive model of the charging pile includes strain rate plastic hardening parameters, creep aging performance parameters, and different temperature performance parameters.

3. The method for optimizing the anti-IK impact performance of a charging pile according to claim 1, characterized in that: The determining, based on the IK impact center points, the radiation points corresponding to the IK impact center points includes: Taking each IK impact center point as the center of the circle and radiating outward with a preset radiation length as the radius to form a radiation layer, until the radiation layer of the current IK impact center point overlaps with the radiation layer of the adjacent IK impact center point, the radiation is stopped, and each radiation layer corresponding to each IK impact center point is obtained; A preset number of radiation points are acquired on each radiation layer corresponding to each IK impact center point to obtain each radiation point corresponding to each IK impact center point.

4. The method for optimizing the anti-IK impact performance of a charging pile according to claim 1, characterized in that: The mechanical performance data of the charging pile includes: stress field, strain field and damage data of the charging pile.

5. The method for optimizing the anti-IK impact performance of a charging pile according to claim 4, characterized in that: The step of predicting the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile includes: Establishing a genetic algorithm model according to the low risk evaluation index and high risk evaluation index of the IK impact of the charging pile; The mechanical property data of the charging pile is input into the genetic algorithm model to predict the risk area, and the high-risk area of ​​the charging pile is obtained.

6. The method for optimizing the anti-IK impact performance of a charging pile according to claim 5, characterized in that: The step of inputting the mechanical property data of the charging pile into the genetic algorithm model to predict the risk area and obtain the high-risk area of ​​the charging pile includes: The stress field, strain field and damage data of the charging pile are used as genetic operators and input into the genetic algorithm model for crossover and mutation calculations to obtain the risk levels corresponding to the IK impact center points and the radiation points. Among the risk levels corresponding to the IK impact center points and the radiation points, the area where the risk level is lower than a preset risk threshold is identified as a low-risk area of ​​the charging pile, and the area where the risk level exceeds the preset risk threshold is identified as a high-risk area of ​​the charging pile.

7. The method for optimizing the anti-IK impact performance of a charging pile according to claim 6, characterized in that: The method of optimizing the bending and torsional stiffness of the high-risk area of ​​the charging pile so as to convert the high-risk area into a low-risk area and obtain an optimized charging pile structure includes: By using the genetic algorithm model, the maximum mechanical property data of the high-risk area of ​​the charging pile and the maximum mechanical property data of the low-risk area of ​​the charging pile are calculated respectively; Taking the maximum mechanical property data of the high-risk area as the constraint condition and the maximum mechanical property data of the low-risk area as the optimization direction, based on the RSM experimental design principle, the bending-torsion stiffness optimization design of the high-risk area of ​​the charging pile is performed to obtain the optimized bending-torsion stiffness of the high-risk area; Through the simulation software structure optimization module, the high-risk area of ​​the charging pile is topologically optimized so that the bending-torsion stiffness of the high-risk area of ​​the charging pile reaches the optimized bending-torsion stiffness of the high-risk area, and the optimized bending-torsion stiffness of the charging pile is obtained; Based on the optimized bending and torsional stiffness of the charging pile, a new IK impact center point and radiation point are reselected, and a new round of anti-IK impact finite element simulation test is carried out on the charging pile. Based on the test results, the high-risk area is continuously optimized until all the high-risk areas are converted into low-risk areas, and the geometric model of the charging pile is output.

8. A device for optimizing the anti-IK impact performance of a charging pile, characterized in that: include: Calculation module, impact point setting module, simulation test module, prediction module and optimization adjustment module, among which, The calculation module is used to calculate the bending and torsional stiffness of the charging pile; The impact point setting module is used to set each IK impact center point on the charging pile based on the bending and torsional stiffness of the charging pile and according to a preset bending and torsional stiffness change gradient; determine each radiation point corresponding to each IK impact center point based on each IK impact center point, and record the coordinates of each IK impact center point and the coordinates of each radiation point, wherein each IK impact center point is the center of the circle where each radiation point is located; The simulation test module is used to perform an anti-IK impact test on the charging pile according to the coordinates of the IK impact center points and the coordinates of the radiation points to obtain the mechanical performance data of the charging pile; The prediction module is used to predict the risk area of ​​the mechanical performance data of the charging pile to obtain the high-risk area of ​​the charging pile; The optimization and adjustment module is used to optimize the bending and torsional stiffness design of the high-risk area of ​​the charging pile, so as to convert the high-risk area into a low-risk area to obtain an optimized charging pile structure.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the method for optimizing the anti-IK impact performance of a charging pile 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, the steps of the method for optimizing the anti-IK impact performance of a charging pile according to any one of claims 1 to 7 are implemented.

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