Electrothermal coupling simulation analysis method for charging connector

Abstract

The invention relates to an electrothermal coupling simulation method for a charging connector, and belongs to the technical field of electrothermal coupling simulation, and the method comprises the steps: obtaining a simulation instruction, and constructing a geometric model of the charging connector; obtaining constraint parameters, and constraining the geometric model; wherein the constraint parameters at least comprise material parameters, power-on parameters and thermal simulation parameters; and importing the constrained geometric model into a pre-constructed simulation model, performing electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting a simulation result which at least comprises the temperature rise of each preset temperature measurement point in the geometric model. The electric heating coupling temperature rise simulation is carried out on the charging connector based on the finite element method, the temperature rise analysis efficiency can be improved, and manpower and material resources consumed for analyzing the temperature rise condition in a traditional test are reduced.

Description

Technical Field

[0001] The present application relates to the technical field of electrothermal coupling simulation, and in particular to an electrothermal coupling simulation analysis method for a charging connector. Background Art

[0002] With the promotion of clean energy worldwide, the new energy industry (including electric vehicles, lithium batteries, photovoltaics, and energy storage) has gradually become a pillar industry for China's development, with huge room for future development. As the charging technology for electric vehicles, the charging connector is an important part of it, and its performance determines the charging efficiency of electric vehicles. The Chinese standard charging connector includes a charging gun and a charging socket. During the operation of the charging connector, due to the existence of resistance, the terminal connection of the charging gun and the charging socket, and the wiring harness crimping part of the charging gun and the charging socket will all experience temperature rise. The higher temperature rise will not only reduce the elasticity of the jack and cause poor contact at the terminal connection, but also affect the aging of the insulation material of the charging connector, resulting in reduced insulation performance, and may even cause breakdown or short circuit, thereby reducing the life and reliability of the charging connector; therefore, thermal analysis and temperature rise control of the charging connector are important links in the design and manufacture of high-current connectors.

[0003] At present, temperature rise data is generally obtained through experimental means. Once the experimental results cannot meet the test standards and material properties, it is necessary to readjust the structure of the charging connector, the size and length of the wiring harness, etc., resulting in a huge waste of manpower, material resources and time, so it needs to be improved. Summary of the invention

[0004] In order to improve the efficiency of temperature rise analysis and reduce the loss of manpower and material resources during the temperature rise analysis process on the basis of being able to know the temperature rise of the charging connector during operation, the present application provides an electrothermal coupling simulation analysis method for a charging connector.

[0005] In a first aspect, the present application provides an electrothermal coupling simulation analysis method for a charging connector, which adopts the following technical solution: Get simulation instructions and build a geometric model of the charging connector; Obtaining constraint parameters to constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters; The constrained geometric model is imported into a pre-built simulation model, and an electrothermal coupling simulation is performed on the constrained geometric model through the simulation model, and a simulation result is output, wherein the simulation result at least includes the temperature rise of each preset temperature measurement point in the geometric model.

[0006] By adopting the above technical solution, the geometric model refers to the three-dimensional model of the charging connector. By constructing the geometric model of the charging connector and defining constraint parameters in the geometric model, that is, constraining various parts of the geometric model, such as limiting the connection relationship between various connection parts (such as contact relationship), and defining the current and voltage data flowing through the wiring harness and the terminal connection (that is, power-on parameter constraints), and defining the convection heat transfer coefficient between the outer surface of the connector and the wiring harness and the environment, and the thermal radiation coefficient applied to the terminal connection (that is, thermal simulation parameter constraints), and then performing electrothermal coupling simulation on the constrained geometric model, that is, simulating the temperature rise of various parts of the charging connector during the power-on working process of the charging connector, to achieve thermal analysis of the charging connector, improve analysis efficiency, and reduce waste of human, financial, material and other resources.

[0007] Optionally, the simulation instruction includes a simulation mode, and the simulation mode is static simulation or dynamic simulation; The obtaining of constraint parameters, constraining the geometric model, importing the constrained geometric model into a pre-built simulation model, performing electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting simulation results, includes: If the simulation mode in the simulation instruction is static simulation, then the constraint parameters contained in the simulation instruction are obtained, the geometric model is constrained, the constrained geometric model is imported into a pre-built simulation model, an electrothermal coupling simulation is performed on the constrained geometric model through the simulation model, and a simulation result is output; If the simulation mode in the simulation instruction is dynamic simulation, then all simulation stages x are determined. n , where 1≤n≤the total number of simulation stages N; The constraint parameters included in the simulation instruction are used to simulate the phase x 1 The geometric model is constrained to obtain the simulation stage x 1 The geometric constraint model will be simulated in phase x 1 The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model 1 The simulation results of X 1 ; If n<N, then set n+1 and perform iterative steps until n≥N; the iterative steps are: according to the simulation sequence of all simulation stages, according to the simulation stage x n-1 The simulation results of X n-1 , determine the constraint parameters, and perform the simulation phase x n-1 The geometric constraint model is constrained to obtain the simulation stage x n The geometric constraint model will be simulated in phase x n The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation modeln The simulation results of X n .

[0008] By adopting the above technical solution, since charging connectors such as charging connectors at shared charging piles are generally in a state of frequent operation, their temperature rise is generally dynamically changing, so this application uses a dynamic simulation mode to simulate the above working state of the charging connector. Specifically, dynamic simulation refers to more than two simulation stages, and the corresponding constraint parameters need to be determined separately in different simulation stages, and then constraints are performed separately according to the corresponding constraint parameters, and the constraint parameters of the current simulation stage will rely on the simulation results of the previous simulation stage, so as to simulate the temperature rise of the charging connector during multiple intermittent operations.

[0009] Optionally, the constraint parameters are divided into fixed parameters and variable parameters; the simulation instruction also includes the total simulation duration; The obtaining of constraint parameters, constraining the geometric model, importing the constrained geometric model into a pre-built simulation model, performing electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting simulation results include: According to the relationship between the value of each variable parameter and time stored in the preset corresponding relationship table and the total simulation time corresponding to the simulation instruction, whenever the value of any variable parameter changes, the constraint parameter is updated, and the current geometric model is constrained by using the updated constraint parameter and the simulation result before the update; Whenever a geometric model is obtained by constraints, an electrothermal coupling simulation is performed on the constrained geometric model through a simulation model, and a simulation result is output.

[0010] By adopting the above technical solution, variable parameters refer to time-dependent constraint parameters, that is, the corresponding parameter values ​​will change with the change of the working time of the charging connector, such as the elastic modulus, friction coefficient, hardness, etc. of the material at the terminal connection of the charging connector, which will age and wear with the increase of the number of plug-in and unplugging times and the increase of working time of the charging connector. Therefore, in the simulation process, the present application adds consideration of the aforementioned variable parameters to realize real-time adjustment of the specific values ​​of the constraint parameters, thereby making the dynamic simulation process closer to the actual application scenario of the charging connector and optimizing the simulation effect.

[0011] Optionally, the simulation stage includes a power-on simulation stage and a power-off simulation stage; each of the simulation stages corresponds to a simulation duration; The method further comprises: For a simulation instruction whose simulation mode is dynamic simulation, the simulation duration of each power-on simulation stage is set using a preset single average charging duration; By adjusting the simulation duration of each power-off simulation stage, recording the simulation result of each power-on simulation stage, determining the optimal power-off duration of each power-off simulation stage, and outputting a power-off duration recommendation scheme, the power-off duration recommendation scheme includes the power-on stage, the number of power-on stages, and the optimal power-off duration of two adjacent power-on stages; wherein the optimal power-off duration satisfies: the geometric model after the simulation of the power-off simulation stage is completed according to the optimal power-off duration, and the temperature rise after the simulation of the next power-on simulation stage does not exceed the preset temperature rise threshold.

[0012] By adopting the above technical solution, the average single charging time in the actual charging scenario is used as the simulation time of the power-on simulation stage, and then the simulation time of the power-off simulation stage between adjacent power-on simulation stages is adjusted on this basis. The power-off simulation stage is used to simulate the process of reducing the temperature rise of the charging connector by using its own heat dissipation and heat exchange with the surrounding environment after completing the previous power-on simulation stage. By adjusting the simulation time of the power-off simulation stage and recording the simulation results of the power-on simulation stage closest to the power-off simulation stage after the power-off simulation stage at different simulation times, the optimal power-off time can be obtained to ensure that the temperature rise in the next power-on simulation stage will not exceed the preset temperature rise threshold. As the number of power-on times increases and the working time of the charging connector accumulates, the heat dissipation effects that can be achieved in different power-off simulation stages with the same simulation time may also be different. Therefore, the present application proposes to adjust the simulation time period of each power-off simulation stage separately, and determine the optimal power-off time of each power-off simulation stage separately, so as to simulate the power-off time of the charging connector after different numbers of power-on operations. The operator can use the recommended power-off time scheme as a reference, so that during the actual working process of the charging connector, the operator can manually intervene to control the pause time between two adjacent charging processes, such as controlling the charging connector to self-lock during the pause period until the pause time reaches the optimal simulation time and then unlocks.

[0013] Optionally, the method further includes: For the simulation instructions whose simulation mode is dynamic simulation, the simulation duration of each simulation stage is adjusted according to the simulation sequence of all simulation stages, and the simulation results of the geometric model in all simulation stages after each adjustment are obtained through the simulation model; Based on the simulation results of all simulation stages at different simulation durations in each simulation stage, a temperature rise trend graph is generated and output, wherein the temperature rise trend graph is used to represent an image of temperature rise changing with simulation duration and simulation stage.

[0014] By adopting the above technical solution, the temperature rise trend diagram is used to more vividly and concretely simulate the temperature rise of the charging connector at different charging times during multiple intermittent charging processes, so as to provide a reference for test personnel to understand the changes in temperature rise with the number of charging times and charging time.

[0015] Optionally, the method further includes: Receiving a sensitive analysis instruction, extracting and generating a plurality of groups of constraint parameters from a preset training database, using each constraint parameter to constrain the geometric model respectively, performing an electrothermal coupling simulation on the constrained geometric model through the simulation model and outputting a simulation result; A sensitivity analysis is performed based on each constraint parameter and its corresponding simulation result, and a sensitivity analysis is performed to determine the sensitive parameters and their sensitivity; wherein the sensitive parameters refer to constraint parameters or constraint parameter combinations that have a greater impact on temperature rise, and the sensitivity refers to the degree of impact of the sensitive parameters on temperature rise.

[0016] By adopting the above technical solution, the present application proposes to analyze the constraint parameters participating in the constraint geometric model to determine the constraint parameters (i.e., sensitive parameters) that have a greater impact on the temperature rise from the constraint parameters. For example, as the power-on current increases, the charging connector will experience a temperature rise. Therefore, the current data contained in the power-on parameters can be sensitive parameters. By determining the sensitive parameters and their sensitivity, the experimenter can know the constraint parameters that have a greater impact on the temperature rise, and conduct targeted research and improvement on them to improve the temperature rise caused by the sensitive parameters.

[0017] Optionally, the material parameters also include mechanical stress parameters.

[0018] By adopting the above technical solution, in the process of setting material parameters, mechanical stress can be set at preset temperature points, such as setting mechanical stress on the surface of the wiring harness and the terminal connection, so as to simulate structural changes such as the wiring harness being stretched and the wiring harness and terminal connection being bent, and fully consider the impact of the temperature rise caused by the stress on the charging connector in the real scene, thereby improving the comprehensiveness of the simulation.

[0019] In a second aspect, the present application provides an electrothermal coupling simulation analysis system for a charging connector, comprising: A geometric model building module, used to obtain simulation instructions and build a geometric model of the charging connector; A geometric model constraint module, used to obtain constraint parameters and constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters; The electrothermal coupling simulation module is used to import the constrained geometric model into a pre-built simulation model, perform electrothermal coupling simulation on the constrained geometric model through the simulation model, and output simulation results, which at least include the temperature rise of each preset temperature measurement point in the geometric model.

[0020] In a third aspect, the present application provides an electrothermal coupling simulation and analysis device for a charging connector, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute any one of the methods described in the first aspect.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. In this application, by constructing a geometric model of the charging connector and defining constraint parameters in the geometric model, that is, constraining various parts of the geometric model, such as limiting the connection relationship (such as contact relationship) between various connection parts, and defining the current and voltage data flowing through the wiring harness and the terminal connection (i.e., power-on parameter constraints), and defining the convection heat transfer coefficient between the outer surface of the connector and the wiring harness and the environment, and the thermal radiation coefficient applied to the terminal connection (i.e., thermal simulation parameter constraints), and then performing electrothermal coupling simulation on the constrained geometric model, that is, simulating the temperature rise of various parts of the charging connector during the power-on working process of the charging connector, to achieve thermal analysis of the charging connector, improve analysis efficiency, and reduce waste of human, financial, material and other resources; 2. Furthermore, since charging connectors such as those at shared charging piles are generally in a state of frequent operation, their temperature rise is generally dynamically changing, so this application uses a dynamic simulation mode to simulate the aforementioned working state of the charging connector. Specifically, dynamic simulation refers to a simulation process including more than two stages, and the corresponding constraint parameters need to be determined in different stages, and then the constraints are performed according to the corresponding constraint parameters, and the constraint parameters of the current simulation stage will rely on the simulation results of the previous simulation stage, so as to simulate the temperature rise of the charging connector during multiple intermittent operations, so that the simulation effect is closer to the actual application scenario of the charging connector. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of an electrothermal coupling simulation analysis method for a charging connector in an embodiment of the present application.

[0025] Figure 2 It is a schematic diagram of the structure of the charging connector used in the embodiment of the present application.

[0026] Figure 3 It is a structural block diagram of an electrothermal coupling simulation analysis system for a charging connector in an embodiment of the present application.

[0027] Explanation of the accompanying drawings: 1. Geometric model construction module; 2. Geometric model constraint module; 3. Electrothermal coupling simulation module. DETAILED DESCRIPTION

[0028] The following is combined with Figure 1-2 This application is described in further detail.

[0029] The embodiment of the present application discloses an electrothermal coupling simulation analysis method for a charging connector. The electrothermal coupling simulation analysis method for a charging connector (hereinafter referred to as the electrothermal coupling simulation method) is used to simulate the temperature rise of the charging connector and various structural parts of the charging connector during the power-on and power-off process based on simulation technology, so that test personnel can more conveniently and efficiently perform thermal analysis on the charging connector and reduce the waste of human, financial, material and other resources. The execution subject of the electrothermal coupling simulation method of the present application is an electrothermal coupling simulation analysis system for a charging connector (hereinafter referred to as the simulation system). Figure 1-2 The specific process steps of the electrothermal coupling simulation method are explained in detail.

[0030] S101, obtaining simulation instructions and constructing a geometric model of the charging connector.

[0031] Reference Figure 2 In implementation, the tester can access the simulation system and trigger the simulation command by touching the simulation button on the preset display interface of the simulation system. The simulation system is used to prompt the tester to enter the simulation product information when receiving the trigger request of the tester. The simulation product information includes but is not limited to the product name and product model. The simulation product of this application is a charging connector, and the charging connector of the embodiment of this application can be a charging gun-type national standard charging connector for electric vehicles, which specifically includes a charging gun and a charging socket. The charging gun includes a wiring harness and a terminal connected to the wiring harness; the charging socket includes a wiring harness and a socket connected to the wiring harness. The terminal and the charging socket are plugged into each other and current is passed into the wiring harness to realize the electrical connection between the charging gun and the charging socket. The simulation system is used to generate a three-dimensional model (i.e., a geometric model) of the charging connector based on the simulation product information.

[0032] S102, obtaining constraint parameters to constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters.

[0033] In practice, the constraint parameters specifically include material parameters, power-on parameters, and thermal simulation parameters. The charging connector is generally made of a variety of materials, such as plastic and metal, and different materials have corresponding material parameters. For example, the material parameters of metal materials include density, thermal conductivity, electrical conductivity, specific heat capacity, etc. The material parameters of plastic materials include density, thermal conductivity, and specific heat capacity. In addition, regarding electrical conductivity, in addition to the body resistance of the conductor in the geometric model, there is contact resistance at the terminal connection, and contact resistance is an important factor causing the temperature rise of the contact part. Therefore, this application uses the surface resistance method to simulate the contact resistance at the terminal connection. Specifically, the surface conductivity is defined at the terminal connection in the geometric model. The surface conductivity ρ=L / (R*S 2 ), where R is the resistance value of the contact resistance, which can be measured by a voltage drop test, S is the contact area at the terminal connection, and L is the contact length; similarly, the conductivity of the crimping resistance at the connection between the terminal and the harness can be calculated based on the aforementioned simulation.

[0034] In addition, material parameters can also include mechanical stress parameters, that is, mechanical stress parameters are defined in certain specific parts of the geometric model. Mechanical stress parameters can be specifically Young's modulus, Poisson's ratio, yield strength, tensile strength, etc.; such as setting the Young's modulus of the wiring harness, setting the specified yield strength value and tensile strength value at the connection between the terminal and the wiring harness. This is used to simulate the situation in which the wiring harness of the charging connector is bent by external force during use, and the connection between the wiring harness and the terminal is stretched by external force. If the wiring harness and the terminal are over-stretched, the contact stability between the wiring harness and the terminal will be affected, and then the temperature rise will be affected.

[0035] Since this application belongs to electrothermal coupling simulation, there are corresponding power-on parameters and thermal simulation parameters, where the power-on parameters include current and voltage data, such as applying a steady-state 200A DC current to one end of the wiring harness connected to the charging gun, and applying a 0V voltage to the end of the wiring harness connected to the charging socket. Thermal simulation parameters include the harness length of the wiring harness connected to the charging gun (such as 1.5m), the harness length of the wiring harness connected to the charging socket (such as 2m), the simulated ambient temperature (such as 23°C), the convection heat transfer coefficient between the outer surface of the charging connector and the environment (such as 10W / ㎡.℃), and the convection heat transfer coefficient between the inside of the charging connector (non-contact area) and the environment (such as 5W / ㎡.℃); in addition, the surface thermal radiation parameters of the terminal connection (such as setting the thermal radiation rate to 0.8).

[0036] The simulation system is used to set the above constraint parameters for each specific part of the geometric model based on the geometric model to realize the constraints on the geometric model.

[0037] S103, importing the constrained geometric model into a pre-built simulation model, performing an electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting a simulation result, wherein the simulation result at least includes the temperature rise of each preset temperature measurement point in the geometric model.

[0038] During implementation, a number of temperature measurement points can be set in advance on the surface of the constrained geometric model (such as the surface of the wiring harness, the connection point between the charging gun terminal and the wiring harness, the surface of the charging gun terminal, the connection position between the charging gun terminal and the charging socket socket, the connection point between the socket and the wiring harness, and the socket surface). The constrained geometric model is thermally analyzed using a simulation model (such as the Ansys workbench electrothermal simulation module) to obtain simulation results, where the simulation results include temperature data at each temperature measurement point. The simulation system can display the simulation results on a preset display interface for the test personnel to know.

[0039] Optionally, the simulation instruction also includes a simulation mode and a total simulation duration, and the simulation mode includes a static mode and a dynamic mode.

[0040] S102 and S103 specifically include the following sub-steps: If the simulation mode in the simulation instruction is static simulation, the constraint parameters contained in the simulation instruction are obtained, the geometric model is constrained, the constrained geometric model is imported into the pre-built simulation model, the electrothermal coupling simulation is performed on the constrained geometric model through the simulation model, and the simulation result is output; If the simulation mode in the simulation instruction is dynamic simulation, then all simulation stages x are determined. n , where 1≤n≤the total number of simulation stages N; The constraint parameters contained in the simulation instructions are used to simulate the phase x 1 The geometric constraint model is constrained to obtain the simulation stage x 1 The geometric constraint model will be simulated in phase x 1 The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model 1 The simulation results of X 1 ; If n<N, then set n+1 and perform the iteration steps until n≥N; the iteration steps are: according to the simulation sequence of all simulation stages, according to the simulation stage x n-1 The simulation results of X n-1 , determine the constraint parameters, and perform the simulation phase x n-1 The geometric constraint model is constrained to obtain the simulation stage x n The geometric constraint model will be simulated in phase x n The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model n The simulation results of X n.

[0041] In implementation, the difference between dynamic simulation and static simulation lies in whether the entire simulation process contains multiple simulation time periods, and the method for determining the number of simulation time periods can be: determine whether the constraint parameters will change during the entire simulation process, such as changes in voltage and current: there are time periods in which the voltage and current values ​​are 0. Accordingly, when the experimenter triggers the simulation instruction and enters the constraint parameters, he can enter the total simulation time (including the simulation start time and the simulation end time) by himself, and divide the total simulation time into several simulation time periods, as well as the constraint parameters corresponding to each simulation time period, such as setting the specific value of the corresponding current and voltage parameters to 0 in one or some simulation time periods to simulate the state in which the charging connector is powered off and stops working. At this time, the simulation system can easily determine the number of simulation time periods and determine the simulation mode based on this.

[0042] If it only includes one simulation period, that is, the duration corresponding to the simulation period is the total simulation duration, then the corresponding simulation mode is static simulation. At this time, the simulation system will constrain the geometric model according to the corresponding constraint parameters, and then perform electrothermal coupling simulation on the constrained geometric model through the pre-built simulation model, and finally output the simulation results.

[0043] If it includes two or more simulation periods, the simulation will be performed sequentially according to the total number N of simulation periods and the chronological order of the simulation periods. Before executing the simulation task of each simulation period, it will be necessary to redetermine the constraint parameters of the current simulation period and re-constrain the geometric model based on the current constraint parameters. The constraint parameters are determined based on the simulation results of the previous simulation period and the constraint parameters for each simulation period pre-entered in the simulation instructions.

[0044] Specifically, for the simulation period x n The simulation system will first determine the simulation time period x in the simulation instruction. n The constraint parameter Z n It should be noted here that the simulation period x n The constraint parameter Z n It means that during the simulation period x n-1 Based on the geometric constraint model, it is necessary to adjust one or some parameters of specific values. n Other constraint parameters will be related to the simulation period x n-1 The parameters corresponding to the geometric constraint model at that time are consistent. Among them, the geometric constraint model refers to the geometric model after constraint.

[0045] The simulation system is then used to complete the simulation period x in the geometric model n-1 Simulation operation and output simulation results X n-1Afterwards, use the simulation period x n-1 The simulation results of X n-1 The temperature data and constraint parameter Z n Further define the simulation period x n-1 The geometric constraint model is used to obtain the simulation time period x n The geometric constraint model is used to make the geometric model of the current simulation stage simulated on the basis of the temperature data after the previous simulation stage is completed, and the initial temperature of different parts of the geometric model is redefined in each simulation stage.

[0046] Optionally, in the simulation mode of dynamic simulation, the basis for determining whether the current and voltage data are 0 is to further divide the simulation stage into two categories: a power-on simulation stage and a power-off simulation stage, so as to simulate the process of multiple intermittent charging of the charging connector in the actual application scenario. The charging stage corresponds to the power-on simulation stage mentioned above, and the intermittent period between adjacent charging stages corresponds to the power-off simulation stage mentioned above, which can also be understood as a state in which the charging connector stops working, and the current and voltage data in this state are 0.

[0047] The corresponding electrothermal coupling simulation method specifically includes the following steps: For the simulation instruction whose simulation mode is dynamic simulation, the simulation duration of each power-on simulation stage is set using the preset single average charging duration; By adjusting the simulation duration of each power-off simulation stage, recording the simulation results of each power-on simulation stage, determining the optimal power-off duration of each power-off simulation stage, and outputting a power-off duration recommendation, the power-off duration recommendation includes the power-on stage, the number of power-on stages, and the optimal power-off duration of two adjacent power-on stages; wherein the optimal power-off duration satisfies: the geometric model after the simulation of the power-off simulation stage is completed according to the optimal power-off duration, and the temperature rise after the simulation of the next power-on simulation stage does not exceed the preset temperature rise threshold.

[0048] In implementation, the above scheme uses a preset single average charging time to define the simulation time of each power-on simulation stage, and the application scenario of the above scheme is that all simulation stages are defined as power-on simulation stages and power-off simulation stages, and the power-on simulation stages and the power-off simulation stages are arranged alternately according to the sequence of simulation time, such as the power-on simulation stage includes a 1 、a 2 、a 3 , the power-off simulation phase includes b 1 、b 2 、b 3 ...; the above-mentioned arrangement method is a 1 、b 1 、a 2 、b 2..., that is, a power-off simulation stage is included between two adjacent power-on simulation stages, and this arrangement is used to simulate the intermittent multiple charging process.

[0049] The simulation system will simulate the power-on simulation stage and the power-off simulation stage in sequence based on the above-mentioned simulation method for dynamic simulation. Similarly, the simulation system will use the power-on simulation stage a n The simulation results of A n The temperature data in the simulation instructions and the power-off simulation phase b pre-entered n The constraint parameters are used to simulate the power-on phase a n The corresponding geometric constraint model is constrained to obtain the power failure simulation stage b n A geometric constraint model, wherein the pre-recorded constraint parameters related to the power-off simulation phase may specifically include setting current and voltage parameters to 0, and the simulation duration of the corresponding simulation phase.

[0050] The simulation system is also used to change the simulation duration of each power-off simulation stage. Each time, the simulation duration of only one of the power-off simulation stages can be changed. After each change, the simulation system will obtain the simulation results of each power-off simulation stage and each power-on simulation stage based on the above-mentioned simulation method for dynamic simulation. By repeating the above steps (i.e., changing the simulation duration of the power-off simulation stage and determining the simulation results of each simulation stage included in the entire dynamic simulation process), the optimal power-off duration of each power-off simulation stage is finally determined. For example, the power-off simulation stage b 1 The optimal power-off duration satisfies: the geometric model completes the power-off simulation phase b with a simulation duration of t 1 After the simulation task, the power-on simulation phase a is carried out on this basis 1 Simulation task, and power on simulation stage a 1 The temperature rise data in the simulation results does not exceed the preset temperature rise threshold; and the optimal power-off duration refers to the minimum value of the simulation duration t that meets the above conditions. The actual application scenario of the corresponding charging connector is: the power-off period between two consecutive charging processes of the charging connector. During the power-off period, the charging connector reduces its temperature by virtue of its own heat dissipation and heat exchange with the surrounding environment. After the power-off period ends, the charging connector completes the second charging process based on the reduced temperature. During the second charging process, the temperature data of the charging connector after further temperature rise will not exceed the limit.

[0051] Furthermore, the electrothermal coupling simulation analysis method also includes: For the simulation instructions whose simulation mode is dynamic simulation, the simulation duration of each simulation stage is adjusted according to the simulation sequence of all simulation stages, and the simulation results of the geometric model in all simulation stages after each adjustment are obtained through the simulation model; Based on the simulation results of all simulation stages at different simulation durations in each simulation stage, a temperature rise trend graph is generated and output, wherein the temperature rise trend graph is used to represent an image of temperature rise changing with simulation duration and simulation stage.

[0052] In implementation, the simulation system is used to continuously adjust the simulation duration of each simulation stage, and after each adjustment, simulate the simulation results of all simulation stages involved in the entire dynamic simulation, and based on the simulation results obtained from each adjustment, generate a temperature rise trend graph showing the changes in the simulation results with changes in the simulation duration. The simulation results here are specifically temperature data, and the embodiment of the present application defaults to adjusting only the simulation duration of any one of the simulation stages each time, and the adjustment rules can be set according to actual conditions, such as increasing and extending the specified duration each time.

[0053] Optionally, constraint parameters can also be divided into two categories: fixed parameters and variable parameters, and the classification is based on whether the constraint parameters will change over time. For example, the elastic modulus, friction coefficient, hardness, etc. included in the material parameters will change with the use time of the charging connector. After the charging connector is frequently plugged in and out, the terminal connection will be worn and aged, which will affect the temperature rise. Therefore, the present application pre-classifies the constraint parameters and pre-sets a corresponding relationship table to store the variable parameters and the specific parameter values ​​corresponding to each variable parameter at different simulation times.

[0054] Accordingly, S102 and S103 further specifically include the following steps: According to the relationship between the value of each variable parameter and time stored in the preset corresponding relationship table, and the total simulation time corresponding to the simulation instruction, whenever the value of any variable parameter changes, the constraint parameter is updated, and the current geometric model is constrained by using the updated constraint parameter and the simulation result before the update; Whenever a geometric model is obtained by constraints, an electrothermal coupling simulation is performed on the constrained geometric model through a simulation model, and the simulation results are output.

[0055] In implementation, the simulation system can divide the total simulation time into several simulation sub-periods according to the total simulation time contained in the simulation instruction. Each simulation sub-period satisfies the constraint parameters in the corresponding simulation sub-period and maintains a constant value within the simulation time corresponding to the simulation sub-period. Therefore, based on this condition, the simulation system will calculate from the simulation start time of the total simulation time according to the change relationship of each variable parameter value over time in the corresponding relationship table. Each time the variable parameter value changes, a simulation sub-period is divided, and the division of the simulation sub-periods is finally completed. Then the simulation system simulates each simulation sub-period in sequence and obtains the simulation results according to the simulation method under the simulation mode of the aforementioned dynamic simulation.

[0056] It needs to be emphasized here that, combined with the previous text, it can be seen that the previous text classifies the simulation time periods into power-on simulation time periods and power-off simulation time periods according to whether the current and voltage are 0. On this basis, each power-on simulation time period and each power-off simulation time period can be further divided according to whether the values ​​of variable parameters change, that is, the power-on simulation time period and the power-off simulation time period can each include several simulation sub-time periods; so as to achieve refined simulation and improve the accuracy of the output simulation results.

[0057] Optionally, the electrothermal coupling simulation analysis method further includes: Receive sensitive analysis instructions, extract and generate several groups of constraint parameters from a preset training database, use each constraint parameter to constrain the geometric model respectively, perform electrothermal coupling simulation on the constrained geometric model through the simulation model and output the simulation results; A sensitivity analysis is performed based on each constraint parameter and its corresponding simulation results to determine the sensitive parameters and their sensitivity; wherein the sensitive parameter refers to the constraint parameter or constraint parameter combination that has a greater impact on the temperature rise, and the sensitivity refers to the degree of influence of the sensitive parameter on the temperature rise.

[0058] In implementation, the training database stores several specific parameter values ​​of each specific parameter included in the constraint parameters. When receiving the sensitive analysis instruction, the simulation system will extract a specific parameter value for all specific parameters from the training database, and finally combine them to obtain the constraint parameters; exemplary, the extraction method can adopt the Latin hypercube sampling method. The simulation system can extract the constraint parameters consistent with the sampling times according to the sampling times included in the sensitive analysis instruction, and then use each constraint parameter to constrain the geometric model and simulate to obtain the simulation results.

[0059] Then the simulation system will perform a sensitivity analysis based on the simulation results corresponding to all the aforementioned sampling times. The specific method of sensitivity analysis can be multi-factor variance analysis to obtain sensitive parameters, which are compared based on the given significance level and the P value of the test statistic. Among the constraint parameters, the specific parameter whose P is less than the significance level is the sensitive parameter, and its corresponding sensitivity is output. The sensitivity can be reflected in the form of a P value.

[0060] The present application also discloses an electric-thermal coupling simulation analysis system for a charging connector. Figure 3 ,include: A geometric model building module 1 is used to obtain simulation instructions and build a geometric model of the charging connector; The geometric model constraint module 2 is used to obtain constraint parameters and constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters; The electrothermal coupling simulation module 3 is used to import the constrained geometric model into the pre-built simulation model, perform electrothermal coupling simulation on the constrained geometric model through the simulation model, and output the simulation results, which at least include the temperature rise of each preset temperature measurement point in the geometric model.

[0061] Optionally, the geometric model constraint module 2 is further used to obtain the constraint parameters contained in the simulation instruction if the simulation mode in the simulation instruction is static simulation, constrain the geometric model, import the constrained geometric model into the pre-built simulation model, perform electrothermal coupling simulation on the constrained geometric model through the simulation model, and output the simulation results; If the simulation mode in the simulation instruction is dynamic simulation, then all simulation stages x are determined. n , where 1≤n≤the total number of simulation stages N; The constraint parameters contained in the simulation instructions are used to simulate the phase x 1 The geometric constraint model is constrained to obtain the simulation stage x 1 The geometric constraint model will be simulated in phase x 1 The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model 1 The simulation results of X 1 ; If n<N, then set n+1 and perform the iteration steps until n≥N; the iteration steps are: according to the simulation sequence of all simulation stages, according to the simulation stage x n-1 The simulation results of X n-1 , determine the constraint parameters, and perform the simulation phase x n-1 The geometric constraint model is constrained to obtain the simulation stage x n The geometric constraint model will be simulated in phase x nThe geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model n The simulation results of X n .

[0062] Optionally, the geometric model constraint module 2 is further used to update the constraint parameters whenever the value of any variable parameter changes, based on the relationship between the change of the value of each variable parameter over time stored in the preset corresponding relationship table, and the total simulation time corresponding to the simulation instruction, and to constrain the current geometric model using the updated constraint parameters and the simulation results before the update; Whenever a geometric model is obtained by constraints, an electrothermal coupling simulation is performed on the constrained geometric model through a simulation model, and the simulation results are output.

[0063] Optionally, it also includes an optimal power-off duration determination module, which is used to set the simulation duration of each power-on simulation stage for simulation instructions with the simulation mode being dynamic simulation, using a preset single average charging time; it is also used to determine the optimal power-off duration of each power-off simulation stage by adjusting the simulation duration of each power-off simulation stage, recording the simulation results of each power-on simulation stage, and outputting a power-off duration recommendation scheme, wherein the power-off duration recommendation scheme includes the power-on stage, the number of power-on stages, and the optimal power-off duration of two adjacent power-on stages; wherein the optimal power-off duration satisfies: the geometric model after the simulation of the power-off simulation stage is completed according to the optimal power-off duration, and the temperature rise after the simulation of the next power-on simulation stage does not exceed the preset temperature rise threshold.

[0064] Optionally, it also includes a temperature rise trend generation module, which is used to adjust the simulation duration of each simulation stage according to the simulation sequence of all simulation stages for simulation instructions with dynamic simulation mode, and obtain the simulation results of the geometric model in all simulation stages after each adjustment through the simulation model; based on the simulation results of all simulation stages at different simulation times for each simulation stage, a temperature rise trend graph is generated and output, and the temperature rise trend graph is used to reflect the image of temperature rise changing with changes in simulation duration and simulation stage.

[0065] Optionally, it also includes a sensitive parameter analysis module, which is used to receive sensitivity analysis instructions, generate several groups of constraint parameters from a preset training database, use each constraint parameter to constrain the geometric model respectively, perform electrothermal coupling simulation on the constrained geometric model through the simulation model and output the simulation results; it is also used to perform sensitivity analysis based on each constraint parameter and its corresponding simulation results, perform sensitivity analysis and determine sensitive parameters and their sensitivity; wherein sensitive parameters refer to constraint parameters or constraint parameter combinations that have a greater impact on temperature rise, and sensitivity refers to the degree of influence of sensitive parameters on temperature rise.

[0066] An embodiment of the present application also discloses an electrothermal coupling simulation and analysis device for a charging connector. The electrothermal coupling simulation and analysis device for a charging connector includes a memory and a processor. The memory stores a computer program that can be loaded by the processor and executes the electrothermal coupling simulation and analysis method for a charging connector as described above.

[0067] The embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the electrothermal coupling simulation analysis method of the charging connector as described above. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0068] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0069] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A method for simulating and analyzing the electric and thermal coupling of a charging connector, characterized in that: include: Get simulation instructions and build a geometric model of the charging connector; Obtaining constraint parameters to constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters; The constrained geometric model is imported into a pre-built simulation model, and an electrothermal coupling simulation is performed on the constrained geometric model through the simulation model, and a simulation result is output, wherein the simulation result at least includes the temperature rise of each preset temperature measurement point in the geometric model.

2. The method for analyzing the electric and thermal coupling of a charging connector according to claim 1, characterized in that: The simulation instruction includes a simulation mode, and the simulation mode is static simulation or dynamic simulation; The obtaining of constraint parameters, constraining the geometric model, importing the constrained geometric model into a pre-built simulation model, performing electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting simulation results, includes: If the simulation mode in the simulation instruction is static simulation, then the constraint parameters contained in the simulation instruction are obtained, the geometric model is constrained, the constrained geometric model is imported into a pre-built simulation model, an electrothermal coupling simulation is performed on the constrained geometric model through the simulation model, and a simulation result is output; If the simulation mode in the simulation instruction is dynamic simulation, then all simulation stages x are determined. n , where 1≤n≤the total number of simulation stages N; Using the constraint parameters included in the simulation instruction to constrain the geometric constraint model of the simulation stage x1 to obtain the geometric constraint model of the simulation stage x1, importing the geometric constraint model of the simulation stage x1 into the pre-built simulation model, and outputting the simulation result X1 of the simulation stage x1 through the simulation model; If n<N, then set n+1 and perform iterative steps until n≥N; the iterative steps are: according to the simulation sequence of all simulation stages, according to the simulation stage x n-1 The simulation results of X n-1 , determine the constraint parameters, and perform the simulation phase x n-1 The geometric constraint model is constrained to obtain the simulation stage x n The geometric constraint model will be simulated in phase x n The geometric constraint model is imported into the pre-built simulation model, and the simulation stage x is output through the simulation model n The simulation results of X n .

3. The electrothermal coupling simulation analysis method of the charging connector according to claim 2, characterized in that: The constraint parameters are divided into fixed parameters and variable parameters; the simulation instructions also include the total simulation time; The obtaining of constraint parameters, constraining the geometric model, importing the constrained geometric model into a pre-built simulation model, performing electrothermal coupling simulation on the constrained geometric model through the simulation model, and outputting simulation results include: According to the relationship between the value of each variable parameter and time stored in the preset corresponding relationship table and the total simulation time corresponding to the simulation instruction, whenever the value of any variable parameter changes, the constraint parameter is updated, and the current geometric model is constrained by using the updated constraint parameter and the simulation result before the update; Whenever a geometric model is obtained by constraints, an electrothermal coupling simulation is performed on the constrained geometric model through a simulation model, and a simulation result is output.

4. The method for analyzing the electric and thermal coupling of a charging connector according to claim 2, characterized in that: The simulation stage includes a power-on simulation stage and a power-off simulation stage; Each of the simulation stages corresponds to a simulation duration; The method further comprises: For a simulation instruction whose simulation mode is dynamic simulation, the simulation duration of each power-on simulation stage is set using a preset single average charging duration; By adjusting the simulation duration of each power-off simulation stage, recording the simulation result of each power-on simulation stage, determining the optimal power-off duration of each power-off simulation stage, and outputting a power-off duration recommendation scheme, the power-off duration recommendation scheme includes the power-on stage, the number of power-on stages, and the optimal power-off duration of two adjacent power-on stages; wherein the optimal power-off duration satisfies: the geometric model after the simulation of the power-off simulation stage is completed according to the optimal power-off duration, and the temperature rise after the simulation of the next power-on simulation stage does not exceed the preset temperature rise threshold.

5. The method for analyzing the electric-thermal coupling of a charging connector according to claim 4, characterized in that: The method further comprises: For the simulation instructions whose simulation mode is dynamic simulation, the simulation duration of each simulation stage is adjusted according to the simulation sequence of all simulation stages, and the simulation results of the geometric model in all simulation stages after each adjustment are obtained through the simulation model; Based on the simulation results of all simulation stages at different simulation durations in each simulation stage, a temperature rise trend graph is generated and output, wherein the temperature rise trend graph is used to represent an image of temperature rise changing with simulation duration and simulation stage.

6. The method for analyzing the electric-thermal coupling of a charging connector according to claim 1, characterized in that: The method further comprises: Receiving a sensitive analysis instruction, extracting and generating a plurality of groups of constraint parameters from a preset training database, using each constraint parameter to constrain the geometric model respectively, performing an electrothermal coupling simulation on the constrained geometric model through the simulation model and outputting a simulation result; A sensitivity analysis is performed based on each constraint parameter and its corresponding simulation result, and a sensitivity analysis is performed to determine the sensitive parameters and their sensitivity; wherein the sensitive parameters refer to constraint parameters or constraint parameter combinations that have a greater impact on temperature rise, and the sensitivity refers to the degree of impact of the sensitive parameters on temperature rise.

7. The method for analyzing the electric-thermal coupling of a charging connector according to claim 1, characterized in that: The material parameters also include mechanical stress parameters.

8. An electrothermal coupling simulation analysis system for a charging connector, characterized in that: include, A geometric model building module (1), used to obtain simulation instructions and build a geometric model of the charging connector; A geometric model constraint module (2) is used to obtain constraint parameters to constrain the geometric model; wherein the constraint parameters at least include material parameters, power-on parameters, and thermal simulation parameters; The electrothermal coupling simulation module (3) is used to import the constrained geometric model into a pre-built simulation model, perform electrothermal coupling simulation on the constrained geometric model through the simulation model, and output simulation results, wherein the simulation results at least include the temperature rise of each preset temperature measurement point in the geometric model.

9. An electrothermal coupling simulation and analysis device for a charging connector, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods according to claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute any one of the methods as claimed in claims 1 to 7.

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