Insulation parameter determination method of electric automobile cable connector and cable connector

Abstract

The invention provides an insulation parameter determination method of an electric automobile cable connector and the cable connector, belongs to the technical field of electrical equipment, and solves the problems that the copper bar spacing design is not standard and the cable connector product adaptability is poor in the production process of the cable connector. The method comprises the following steps: acquiring basic parameters of the cable connector; according to the basic parameters of the cable connector, obtaining operation state data of the cable connector; inputting the basic parameters of the cable connector and the operation state data of the cable connector into an insulation parameter model for processing to obtain insulation parameters of the cable connector; processing the input vector by the insulation parameter model through a state function to obtain an intermediate result, and performing linear weighting on the intermediate result to obtain an insulation parameter; and obtaining preparation parameters of the cable connector according to the insulation parameters of the cable connector. According to the scheme, insulation parameters meeting requirements are obtained by accurately controlling the distance between the copper bars, and the percent of pass of cable connector products is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment, and in particular to a method for determining insulation parameters of an electric vehicle cable connector and a cable connector. Background Art

[0002] The cable connector of electric vehicles is a key component in the electric power system of electric vehicles, and is mainly used for conductive connection between various power units. In the design and manufacturing process of cable connectors, it is necessary to accurately control the spacing between copper bars in cable connectors; when the distance between copper bars is close, the electric field strength will be significantly enhanced. Under the action of high electric field strength, gas molecules in insulating media such as air will be ionized, thereby generating conductive channels, which is the discharge phenomenon. Once this discharge occurs, a large amount of energy will be released rapidly, causing serious damage to the insulating materials between copper bars. Once the insulating material is damaged, its insulation performance will be greatly reduced, which may cause serious electrical faults such as short circuits. At the same time, the withstand voltage value of copper bars is one of the important factors that determine the size of the spacing between copper bars. The withstand voltage value refers to the maximum voltage that the copper bar can withstand without breakdown. Different application scenarios and power systems require copper bars to have different withstand voltage values. Generally speaking, the higher the withstand voltage value, the larger the spacing between copper bars needs to be to ensure that no discharge occurs under high voltage. This is because a larger spacing can effectively reduce the electric field strength and reduce the possibility of discharge, thereby ensuring the reliability of insulation. For example, in some high-voltage power transmission systems, due to the high voltage level, the spacing between copper bars needs to be set relatively large; while in some low-voltage distribution systems, due to the low voltage, the spacing between copper bars can be appropriately reduced.

[0003] At present, when determining the copper busbar spacing, it is usually set based on experience values. This setting method that relies on experience values ​​has certain limitations. With the continuous innovation of electric vehicle technology, new materials, new processes and complex and changing operating environments continue to emerge. Simply relying on experience values ​​may not be able to fully meet the needs of some special working conditions and new application scenarios. Summary of the invention

[0004] The present invention provides an insulation parameter determination method for an electric vehicle cable connector and a cable connector, which solves the problems of irregular copper bar spacing design and poor product adaptability during the production process of the cable connector.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] An embodiment of the present invention provides a method for determining insulation parameters of a cable connector, comprising:

[0007] Get the basic parameters of the cable connector;

[0008] According to the basic parameters of the cable connector, the operating status data of the cable connector is obtained; the operating status data includes the specific heat capacity data of the plastic part and the operating temperature data of the cable connector;

[0009] Inputting the basic parameters of the cable connector and the operating status data of the cable connector into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameter model processes the input vector through the state function to obtain an intermediate result, and linearly weights the intermediate result to obtain the insulation parameter;

[0010] According to the insulation parameters of the cable connector, the preparation parameters of the cable connector are obtained.

[0011] Optionally, obtain basic parameters of the cable connector, including:

[0012] According to the design model of the cable connector, basic parameters of the cable connector are obtained, wherein the basic parameters include at least one of plastic material data, copper busbar size data, copper busbar withstand voltage data, and operating environment humidity data.

[0013] Optionally, obtaining the operation status data of the cable connector according to the basic parameters of the cable connector includes:

[0014] Obtaining specific heat capacity data of the plastic part according to the material data of the plastic part;

[0015] The copper busbar size data and the copper busbar withstand voltage data are processed to obtain operating temperature data of the cable connector.

[0016] Optionally, the insulation parameter model is trained by the following process:

[0017] Acquire training set data including basic parameters of historical cable connectors and operating status parameters of historical cable connectors;

[0018] Performing feature extraction processing on the training set data to obtain multiple input vectors;

[0019] Inputting the input vector into an input layer of an insulation parameter model;

[0020] Inputting the output of the input layer into multiple hidden layers of the insulation parameter model for local response processing to obtain multiple hidden layer outputs;

[0021] Inputting the multiple hidden layer outputs into the output layer of the insulation parameter model for linear weighted processing to obtain the output of the network;

[0022] Get the error between the network's output and each sample in the training set;

[0023] The multiple weight values ​​in the hidden layer are increased or decreased until the error is within a preset range, thereby obtaining the insulation parameter model.

[0024] Optionally, the basic parameters of the cable connector and the operating status data of the cable connector are input into an insulation parameter model for processing to obtain insulation parameters of the cable connector, including:

[0025] The copper busbar size data, the copper busbar withstand voltage data, the operating environment humidity data, the plastic part specific heat capacity data, and the operating temperature data of the cable connector are input into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameters include the spacing of the copper busbars and the contact surface area of ​​the copper busbars.

[0026] Optionally, the insulation parameter model processes the input vector through a state function to obtain an intermediate result, and linearly weights the intermediate result to obtain the insulation parameter, including:

[0027] The insulation parameter model is implemented by the state function:

[0028] ;

[0029] Process the input vector to obtain the intermediate result;

[0030] pass:

[0031] ;

[0032] Performing linear weighting on the intermediate results to obtain insulation parameters;

[0033] Among them, x n is the nth input vector, θ m is the center of the mth hidden layer of the insulation parameter model, σ m is the width of the mth hidden layer of the insulation parameter model, ω m is the weight value of the mth hidden layer, M is the total number of hidden layers, is the output value of the mth hidden layer, ξ(x n ) is the insulation parameter output by the insulation parameter model.

[0034] Optionally, obtaining the preparation parameters of the cable connector according to the insulation parameters of the cable connector includes:

[0035] According to the insulation parameters of the cable connector, the basic parameters of the cable connector are adjusted to obtain the preparation parameters of the cable connector.

[0036] An embodiment of the present invention further provides a device for determining insulation parameters of a cable connector, comprising:

[0037] An acquisition module, used to obtain basic parameters of the cable connector;

[0038] A processing module is used to obtain operating status data of the cable connector according to the basic parameters of the cable connector; the operating status data includes specific heat capacity data of the plastic part and operating temperature data of the cable connector; the basic parameters of the cable connector and the operating status data of the cable connector are input into an insulation parameter model for processing to obtain insulation parameters of the cable connector; the insulation parameter model processes an input vector through a state function to obtain an intermediate result, linearly weights the intermediate result to obtain insulation parameters; and obtains preparation parameters of the cable connector according to the insulation parameters of the cable connector.

[0039] An embodiment of the present invention further provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program executes the above method when executed by the processor.

[0040] An embodiment of the present invention further provides a cable connector, which is manufactured using the preparation parameters of the electric vehicle cable connector in the above method.

[0041] The above solution of the present invention includes at least the following beneficial effects:

[0042] The scheme of the present invention obtains basic parameters of the cable connector; obtains operating status data of the cable connector according to the basic parameters of the cable connector; inputs the basic parameters of the cable connector and the operating status data of the cable connector into an insulation parameter model for processing to obtain insulation parameters of the cable connector; the insulation parameter model processes an input vector through a state function to obtain an intermediate result, linearly weights the intermediate result to obtain insulation parameters; obtains preparation parameters of the cable connector according to the insulation parameters of the cable connector, obtains insulation parameters that meet requirements, improves the qualified rate of electric vehicle cable connector products and the adaptability of the products, and reduces production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a method for determining insulation parameters of a cable connector provided by an embodiment of the present invention;

[0044] Figure 2 is a structural diagram of a cable connector provided by an embodiment of the present invention;

[0045] Figure 3 is a schematic diagram of the architecture of the insulation parameter model in an embodiment of the present invention;

[0046] Figure 4 is a structural diagram of an insulation parameter determination device for a cable connector provided by an embodiment of the present invention;

[0047] Figure 5 It is a schematic diagram of the structure of a computing device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0049] like Figure 1 As shown, an embodiment of the present invention provides a method for determining insulation parameters of an electric vehicle cable connector, comprising:

[0050] Step 11, obtaining basic parameters of the cable connector;

[0051] Step 12, obtaining the operating status data of the cable connector according to the basic parameters of the cable connector; the operating status data includes the specific heat capacity data of the plastic part and the operating temperature data of the cable connector;

[0052] Step 13, inputting the basic parameters of the cable connector and the operating status data of the cable connector into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameter model processes the input vector through the state function to obtain an intermediate result, and linearly weights the intermediate result to obtain the insulation parameter;

[0053] Step 14: obtaining preparation parameters of the cable connector according to the insulation parameters of the cable connector.

[0054] In this embodiment, in order to achieve accurate control of the insulation withstand voltage performance of the electric vehicle cable connector, it is first necessary to obtain the basic parameters of the cable connector; the cable connector mainly includes a plurality of copper bars and insulating materials, wherein the insulating materials are used to isolate the conductors and the supporting materials to prevent safety hazards such as short circuits and leakage, and are usually made of flame-retardant plastic parts; the basic parameters of the cable connector include but are not limited to the size of the copper bar (such as length, width, thickness), the material composition of the plastic parts, the withstand voltage data of the copper bar and the humidity data of the operating environment, etc., and these parameters can be obtained through the design model of the cable connector;

[0055] After obtaining the basic parameters of the cable connector, the operating status data of the cable connector can be obtained by searching or calculating the basic parameters. The operating status data includes the specific heat capacity data of the plastic part and the operating temperature data of the cable connector. Among them, the specific heat capacity data of the plastic part is related to the material of the plastic part and is used to evaluate the ability of the plastic part to absorb or release heat under different temperature changes.

[0056] The basic parameters and operating status data of the cable connector are combined to form an input vector; the input vector is input into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameter model first processes the input vector through a state function to obtain an intermediate result, and then linearly weights the intermediate result to obtain the insulation parameter;

[0057] After obtaining the insulation parameters, the spacing or layout of the copper busbars can be adjusted according to the insulation parameters to avoid insulation damage caused by electric field concentration.

[0058] The above embodiments of the present invention help improve the electrical performance and safety of electric vehicles by precisely controlling the spacing; a reasonable copper bar spacing design can increase the insulation gap, thereby improving the voltage resistance of the connector; in a high voltage environment, the connector can operate stably without leakage or breakdown; at the same time, a reasonable copper bar spacing design can promote heat dissipation and reduce the operating temperature of the connector. This helps to extend the service life of the connector and reduce the risk of electrical failure in electric vehicles caused by high temperature.

[0059] In an optional embodiment of the present invention, step 11 may include:

[0060] Step 111, obtaining basic parameters of the cable connector according to the design model of the cable connector, wherein the basic parameters include at least one of plastic material data, copper busbar size data, copper busbar withstand voltage data, and operating environment humidity data.

[0061] In this embodiment, the basic parameters of the cable connector can be obtained by searching and querying the design model of the cable connector; the design model of the cable connector is created based on CAD (computer-aided design) software, and the model records the specific parameters of each component of the cable connector, such as plastic material data, copper busbar size data, copper busbar withstand voltage data and operating environment humidity data; the plastic material data is used to determine the specific material type of the plastic parts (such as insulation layer, support structure, etc.) of the cable connector, such as polyethylene (PE), polypropylene (PP), polyvinyl chloride (PVC), etc., and different materials have different mechanical strength and thermal stability; the copper busbar size data refers to the three-dimensional dimensions of the copper busbar, which directly affect the current carrying capacity and heat dissipation performance; the copper busbar withstand voltage data refers to the maximum voltage value that the copper busbar can withstand. When the voltage applied to the copper busbar exceeds this value, electrical breakdown will occur. This value is an important indicator for evaluating the insulation performance of the copper busbar; the operating environment humidity data is the humidity level of the environment in which the copper busbar is located. High humidity may cause accelerated corrosion on the surface of the copper busbar, affecting the electrical performance and mechanical strength.

[0062] In an optional embodiment of the present invention, step 12 may include:

[0063] Step 121, obtaining specific heat capacity data of the plastic part according to the material data of the plastic part;

[0064] Step 122: Process the copper busbar size data and the copper busbar withstand voltage data to obtain operating temperature data of the cable connector.

[0065] In this embodiment, after the material data of the plastic part is determined, the specific heat capacity data corresponding to the material can be obtained by querying the relevant product performance manual or database; specific heat capacity is a thermal property of a substance, which indicates the amount of heat absorbed or released when the temperature of a unit mass of the substance increases or decreases by 1 degree Celsius. For plastic parts, different plastic materials have different specific heat capacities;

[0066] Different from the way of obtaining specific heat capacity data of plastic parts, the operating temperature data of cable connectors needs to be obtained through certain calculations; first, the resistance of the copper busbar can be calculated based on its size:

[0067]

[0068] Where R is the resistance and ρ is the resistivity of copper (approximately 1.7×10 -8 Ω∙m), l is the length of the copper bar, S is the cross-sectional area of ​​the copper bar, which can be calculated from the width and thickness of the copper bar;

[0069] according to

[0070]

[0071] Get the heat generated when current passes through the copper busbar, where Q is the heat, I is the current, and t is the time;

[0072] according to

[0073]

[0074] Get the temperature difference between the copper busbar and the environment, where ΔT is the temperature difference, A is the surface area of ​​the copper busbar, and h is the convection heat transfer coefficient;

[0075] according to

[0076] T 2 =ΔT+T 1

[0077] Get the operating temperature of the cable connector, where T 2 is the operating temperature of the cable connector, T 1 is the temperature of the environment.

[0078] In an optional embodiment of the present invention, step 13 may include:

[0079] Step 131, input the copper busbar size data, the copper busbar withstand voltage data, the operating environment humidity data, the plastic part specific heat capacity data, and the operating temperature data of the cable connector into an insulation parameter model for processing to obtain insulation parameters of the cable connector; the insulation parameters include the spacing of the copper busbars and the contact surface area of ​​the copper busbars.

[0080] In this embodiment, the copper busbar size data, the copper busbar withstand voltage data, the operating environment humidity data, the plastic part specific heat capacity data, and the operating temperature data of the cable connector are combined into an input vector including 5 elements, which are input into the insulation parameter model for processing; the insulation parameter model processes the input vector and outputs the insulation parameters of the cable connector; the insulation parameters of the cable connector are an output vector including 2 elements, and the 2 elements are the spacing of the copper busbars and the contact surface area of ​​the copper busbars;

[0081] The insulation parameter model can be trained based on the historical data collected during the manufacturing process of the cable connector; Figure 3 As shown in Figure 1, the insulation parameter model contains n input vectors, m hidden layers and 1 output vector. The training process includes:

[0082] Step 31, obtaining training set data including basic parameters of historical cable connectors and operating status parameters of historical cable connectors;

[0083] Step 32, performing feature extraction processing on the training set data to obtain multiple input vectors;

[0084] Step 33, inputting the input vector into an input layer of an insulation parameter model;

[0085] Step 34, inputting the output of the input layer into multiple hidden layers of the insulation parameter model for local response processing to obtain multiple hidden layer outputs;

[0086] Step 35, inputting the multiple hidden layer outputs into the output layer of the insulation parameter model for linear weighted processing to obtain the output of the network;

[0087] Step 36, obtaining the error between the network output and each sample in the training set;

[0088] Step 37, increasing or decreasing the multiple weight values ​​in the hidden layer until the error is within a preset range, thereby obtaining the insulation parameter model.

[0089] In this embodiment, the basic parameters of the historical cable connector include: specific heat capacity data of plastic parts, size data of copper bars, and spacing between copper bars; the operating state parameters of the historical cable connector include: withstand voltage value of copper bars and operating temperature data of copper bars; the above parameters are sorted to obtain multiple learning samples; the i-th learning sample can be expressed as (x i , t i ), where x i is a vector consisting of 5 elements, x i =[a 1 , a 2 , a 3 , a 4 , a 5 ], a 1 is the copper busbar thickness, a 2 is the withstand voltage value of the copper busbar, a 3 is the operating environment humidity, a 4 is the specific heat capacity data of plastic parts, a 5 is the copper busbar operating temperature; t i is a vector consisting of 2 elements, t i =[b 1 ,b 2 ], b 1 For copper row at x i The copper bar spacing when breakdown occurs under the condition, b 2 For copper row at x i The surface area of ​​the copper bar exposed outside the plastic part when breakdown occurs under certain conditions;

[0090] For the i-th learning sample (x i , t i ), respectively according to the formula: Japanese style: , calculate the hidden layer output of the insulation parameter model And model output i ; Calculation error ;

[0091] if , then add a hidden layer, and the expression of each node in the hidden layer is: , while ω m To accumulate;

[0092] in, is the expected accuracy of the network; o j =x j -δ j ;

[0093] If the n (n=50) consecutive input samples all satisfy: ,in, is a preset constant; then input the i+1th learning sample, repeat the above process, and obtain the insulation parameter model.

[0094] In this embodiment, the error between the output of the network and each sample in the training set is calculated; the number of hidden layers is increased or decreased according to the distance between each sample and each hidden layer and the error, and multiple weight values ​​in the hidden layer are adjusted to obtain an insulation parameter model with a final error within a preset range.

[0095] In an optional embodiment of the present invention, step 14 may include:

[0096] Step 141, obtaining preparation parameters of the cable connector according to the insulation parameters of the cable connector.

[0097] In this embodiment, based on the above information, when designing the structure of the cable connector, the shape and size of the plastic part can be accurately designed according to the minimum spacing of the copper bars to ensure that there is enough space between the copper bars and that the plastic part can firmly fix and insulate the copper bars; at the same time, considering the exposed area of ​​the copper bars, the copper bars may need to be specially cleaned or polished during the manufacturing process to ensure surface quality and good heat dissipation. For plastic parts, secondary processing may be required, such as adding heat dissipation holes or insulating coatings, to enhance their heat dissipation and insulation properties.

[0098] like Figure 4 As shown, an embodiment of the present invention provides an insulation parameter determination device 40 for an electric vehicle cable connector, comprising:

[0099] An acquisition module 41 is used to acquire basic parameters of the cable connector;

[0100] The processing module 42 is used to obtain the operating status data of the cable connector according to the basic parameters of the cable connector; the operating status data includes the specific heat capacity data of the plastic parts and the operating temperature data of the cable connector; the basic parameters of the cable connector and the operating status data of the cable connector are input into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameter model processes the input vector through the state function to obtain the intermediate result, and linearly weights the intermediate result to obtain the insulation parameter; according to the insulation parameters of the cable connector, the preparation parameters of the cable connector are obtained.

[0101] Optionally, the acquisition module 41 is specifically used for:

[0102] According to the design model of the cable connector, basic parameters of the cable connector are obtained, wherein the basic parameters include at least one of plastic material data, copper busbar size data, copper busbar withstand voltage data, and operating environment humidity data.

[0103] Optionally, the processing module 42 is specifically used for:

[0104] Obtaining specific heat capacity data of the plastic part according to the material data of the plastic part;

[0105] The copper busbar size data and the copper busbar withstand voltage data are processed to obtain operating temperature data of the cable connector.

[0106] Optionally, the insulation parameter model is trained by the following process:

[0107] Acquire training set data including basic parameters of historical cable connectors and operating status parameters of historical cable connectors;

[0108] Performing feature extraction processing on the training set data to obtain multiple input vectors;

[0109] Inputting the input vector into an input layer of an insulation parameter model;

[0110] Inputting the output of the input layer into multiple hidden layers of the insulation parameter model for local response processing to obtain multiple hidden layer outputs;

[0111] Inputting the multiple hidden layer outputs into the output layer of the insulation parameter model for linear weighted processing to obtain the output of the network;

[0112] Get the error between the network's output and each sample in the training set;

[0113] The multiple weight values ​​in the hidden layer are increased or decreased until the error is within a preset range, thereby obtaining the insulation parameter model.

[0114] Optionally, the processing module 42 is further specifically configured to:

[0115] The copper busbar size data, the copper busbar withstand voltage data, the operating environment humidity data, the plastic part specific heat capacity data, and the operating temperature data of the cable connector are input into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameters include the spacing of the copper busbars and the contact surface area of ​​the copper busbars.

[0116] Optionally, the insulation parameter model processes the input vector through a state function to obtain an intermediate result, and linearly weights the intermediate result to obtain the insulation parameter, including:

[0117] The insulation parameter model is implemented by the state function:

[0118] ;

[0119] Process the input vector to obtain the intermediate result;

[0120] pass:

[0121] ;

[0122] Performing linear weighting on the intermediate results to obtain insulation parameters;

[0123] Among them, x n is the nth input vector, θ m is the center of the mth hidden layer of the insulation parameter model, σ m is the width of the mth hidden layer of the insulation parameter model, ω m is the weight value of the mth hidden layer, M is the total number of hidden layers, is the output value of the mth hidden layer, ξ(x n ) is the insulation parameter output by the insulation parameter model.

[0124] Optionally, the processing module 42 is further specifically configured to:

[0125] According to the insulation parameters of the cable connector, the basic parameters of the cable connector are adjusted to obtain the preparation parameters of the cable connector.

[0126] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0127] like Figure 5 As shown, the embodiment of the present invention further provides a computing device 50, including a processor 51, a memory 52, a program or instruction stored in the memory 52 and executable on the processor 51, and when the program or instruction is executed by the processor 51, each process of the above-mentioned method for determining insulation parameters of an electric vehicle cable connector is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here. It should be noted that the computing device in the embodiment of the present invention includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0128] An embodiment of the present invention further provides a cable connector, which is manufactured using the manufacturing parameters obtained in the above method.

[0129] In this embodiment, the copper row spacing of the electric vehicle cable connector manufactured by the above method is precisely controlled, thereby improving the adaptability of the electric vehicle cable connector product and reducing the production cost.

[0130] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0132] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0133] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0134] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0135] Stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or optical disk, etc., various media that can store program codes.

[0136] In addition, it should be pointed out that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understandable that all or any steps or components of the method and apparatus of the present invention can be implemented in hardware, firmware, software or a combination thereof in any computing device (including processors, storage media, etc.) or a network of computing devices, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0137] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code for implementing a method or device. That is to say, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0138] The above are preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for determining insulation parameters of an electric vehicle cable connector, characterized in that: include: Get the basic parameters of the cable connector; Obtaining operation status data of the cable connector according to the basic parameters of the cable connector; The operating status data includes specific heat capacity data of plastic parts and operating temperature data of cable connectors; Inputting the basic parameters of the cable connector and the operating status data of the cable connector into an insulation parameter model for processing to obtain insulation parameters of the cable connector; The insulation parameter model processes the input vector through a state function to obtain an intermediate result, and linearly weights the intermediate result to obtain an insulation parameter; According to the insulation parameters of the cable connector, the preparation parameters of the cable connector are obtained.

2. The method for determining insulation parameters of an electric vehicle cable connector according to claim 1, characterized in that: Get the basic parameters of the cable connector, including: According to the design model of the cable connector, basic parameters of the cable connector are obtained, wherein the basic parameters include at least one of plastic material data, copper busbar size data, copper busbar withstand voltage data, and operating environment humidity data.

3. The method for determining insulation parameters of an electric vehicle cable connector according to claim 2, characterized in that: According to the basic parameters of the cable connector, the operation status data of the cable connector is obtained, including: Obtaining specific heat capacity data of the plastic part according to the material data of the plastic part; The copper busbar size data and the copper busbar withstand voltage data are processed to obtain operating temperature data of the cable connector.

4. The method for determining insulation parameters of an electric vehicle cable connector according to claim 1, characterized in that: The insulation parameter model is trained through the following process: Acquire training set data including basic parameters of historical cable connectors and operating status parameters of historical cable connectors; Performing feature extraction processing on the training set data to obtain multiple input vectors; Inputting the input vector into an input layer of an insulation parameter model; Inputting the output of the input layer into multiple hidden layers of the insulation parameter model for local response processing to obtain multiple hidden layer outputs; Inputting the multiple hidden layer outputs into the output layer of the insulation parameter model for linear weighted processing to obtain the output of the network; Get the error between the network's output and each sample in the training set; The multiple weight values ​​in the hidden layer are increased or decreased until the error is within a preset range, thereby obtaining the insulation parameter model.

5. The method for determining insulation parameters of an electric vehicle cable connector according to claim 2, characterized in that: Inputting the basic parameters of the cable connector and the operating status data of the cable connector into the insulation parameter model for processing to obtain the insulation parameters of the cable connector, including: The copper busbar size data, the copper busbar withstand voltage data, the operating environment humidity data, the plastic part specific heat capacity data, and the operating temperature data of the cable connector are input into the insulation parameter model for processing to obtain the insulation parameters of the cable connector; the insulation parameters include the spacing of the copper busbars and the contact surface area of ​​the copper busbars.

6. The method for determining insulation parameters of an electric vehicle cable connector according to claim 1, characterized in that: The insulation parameter model processes the input vector through a state function to obtain an intermediate result, and linearly weights the intermediate result to obtain the insulation parameter, including: The insulation parameter model is implemented by the state function: ； Process the input vector to obtain the intermediate result; pass: ； Performing linear weighting on the intermediate results to obtain insulation parameters; Among them, x n is the nth input vector, θ m is the center of the mth hidden layer of the insulation parameter model, σ m is the width of the mth hidden layer of the insulation parameter model, ω m is the weight value of the mth hidden layer, M is the total number of hidden layers, is the output value of the mth hidden layer, ξ(x n ) is the insulation parameter output by the insulation parameter model.

7. The method for determining insulation parameters of an electric vehicle cable connector according to claim 1, characterized in that: According to the insulation parameters of the cable connector, obtaining the preparation parameters of the cable connector includes: According to the insulation parameters of the cable connector, the basic parameters of the cable connector are adjusted to obtain the preparation parameters of the cable connector.

8. A device for determining insulation parameters of an electric vehicle cable connector, characterized in that: include: An acquisition module is used to obtain basic parameters of the cable connector; A processing module, used for obtaining operation status data of the cable connector according to the basic parameters of the cable connector; The operating status data includes specific heat capacity data of plastic parts and operating temperature data of cable connectors; Inputting the basic parameters of the cable connector and the operating status data of the cable connector into an insulation parameter model for processing to obtain insulation parameters of the cable connector; The insulation parameter model processes the input vector through a state function to obtain an intermediate result, and linearly weights the intermediate result to obtain an insulation parameter; based on the insulation parameters of the cable connector, the preparation parameters of the cable connector are obtained.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A cable connector, characterized in that: The cable connector is made according to the preparation parameters of the electric vehicle cable connector in the method according to any one of claims 1 to 7.

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