A simulation method for water management of vehicles driving in rainy days

Abstract

The present application provides a simulation method for water management of vehicle driving in rainy days, which relates to the field of simulation technology. The method comprises obtaining a model file of a part of a vehicle to be tested, so as to discretize particles of the model of the part of the vehicle to be tested corresponding to the model file; setting a rainfall plane according to simulation requirements, for randomly generating raindrops represented by particles during the simulation process, and setting the motion information of the vehicle; determining the state of each particle according to the degree of particle aggregation, so as to update the target simulation parameters of the particle; setting a monitoring surface for a key focus position, and determining whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface, so as to analyze the waterproof performance of the vehicle.

Description

Technical Field

[0001] The present application relates to the field of simulation technology, and in particular to a simulation method for water management of vehicles driving in rainy weather. Background Art

[0002] The waterproof performance of a car when driving in rainy days is one of the key performance indicators in vehicle development.

[0003] In the past, automobile drainage systems were mainly designed based on experience and then verified through prototype tests. If the test results are not ideal, a new round of modifications and tests will be required. If numerical methods are considered to analyze the problem of automobile driving in rainy days, the discrete raindrop scale is in the millimeter level, which is much smaller than the scale of the entire vehicle. When traditional CFD methods deal with such cross-scale problems, it is difficult to select a suitable grid size to balance calculation efficiency and calculation accuracy, and they are often unable to simulate directly. The SPH method uses particles to discretize the fluid, avoiding the division of the grid, and is suitable for free surface flow problems. However, its theoretical basis is based on continuous medium mechanics, and the fluid particles need to maintain a continuous cluster state to ensure calculation accuracy and stability. The movement of individual droplet particles cannot be directly calculated. Therefore, a simulation method for water management of vehicle driving in rainy days is needed. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a simulation method for water management of vehicles driving in rainy days, so as to analyze the waterproof performance of the vehicle.

[0005] In a first aspect, the present invention provides a simulation method for vehicle water management, the method comprising obtaining a model file of a vehicle part to be tested to discretize the model of the vehicle part to be tested corresponding to the model file; setting a rainfall plane according to simulation requirements, for randomly generating raindrops represented by particles during the simulation process, and setting vehicle motion information; determining the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle; setting a monitoring surface for a key focus position, and determining whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface.

[0006] In an optional implementation manner, the step of determining the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle specifically includes:

[0007] For particles that are initially in a discrete raindrop state and fall from a rainfall plane, the convergence degree value of each particle is calculated, and the particle is determined to be in a discrete state or a convergence state based on the difference between the convergence degree value and the preset degree value; for particles in a discrete state or a convergence state, the target simulation parameters of the particle are updated according to different rules.

[0008] In an optional embodiment, for each particle falling from the rainfall plane, the convergence degree value of the particle is calculated in the following manner:

[0009] ;

[0010] in, For particles The convergence value of For particles The distance kernel function between Represents particles volume.

[0011] In an optional embodiment, it is determined whether the convergence degree value is less than or equal to a preset degree value; if so, the particle is determined to be in a discrete state; if not, the particle is in a convergence state, and the raindrop is determined to be an SPH particle in a continuous fluid.

[0012] In an optional embodiment, for a raindrop particle in a discrete state, the raindrop is updated in the following manner: a first momentum equation of the raindrop is determined through a first acceleration generated by boundary pressure, a second acceleration generated by boundary viscosity, and gravitational acceleration; based on the first momentum equation, the velocity value and position coordinates of the raindrop are updated; wherein the density value of the raindrop remains unchanged.

[0013] In an optional embodiment, for a SPH particle in a continuous state, the particle in the continuous fluid is updated in the following manner: a second momentum equation of the particle is determined based on a first acceleration generated by a pressure gradient of a neighboring fluid, a second acceleration generated by a pressure gradient of boundary particles, a third acceleration generated by viscosity of the neighboring fluid, a fourth acceleration generated by viscosity of the neighboring boundaries, a fifth acceleration generated by surface tension, and gravitational acceleration; based on the second momentum equation, the velocity value and position coordinates of the particle are updated; based on the law of conservation of mass, a mass equation of the particle is determined to update the density of the particle.

[0014] In an optional implementation, the speed value is updated in the following manner: based on the time point The acceleration value at the time point is updated The velocity value of the particle at

[0015] And, the location coordinates are updated in the following ways: based on the time point The velocity value of the particle at the time point T and the position coordinates of the particle at the time point T are updated to obtain the time The location coordinates of .

[0016] In a second aspect, the present invention provides a simulation device for water management of a vehicle during rainy day driving, the device comprising:

[0017] An input module is used to obtain a model file of a vehicle part to be tested, so as to discretize a model of the vehicle part to be tested corresponding to the model file;

[0018] Definition module, used to set the rainfall plane according to simulation requirements and set the vehicle's motion information;

[0019] A solution module is used to determine the state of each particle according to the degree of particle aggregation so as to update the target simulation parameters of the particle;

[0020] The judgment module is used to set a monitoring surface for the key focus position, and determine whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface.

[0021] In a third aspect, the present invention provides an electronic device comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and the processor executes the machine-readable instructions to perform the steps of the vehicle water management simulation method as described in any of the aforementioned embodiments.

[0022] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the vehicle water management simulation method as described in any of the aforementioned embodiments are executed.

[0023] The present application provides a simulation method, device, electronic device and storage medium for vehicle water management, wherein the method includes obtaining a model file of a vehicle part to be tested to discretize the model of the vehicle part to be tested corresponding to the model file; setting a rainfall plane according to simulation requirements to randomly generate raindrops represented by particles during the simulation process, and setting the motion information of the vehicle; determining the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle; setting a monitoring surface for a key focus position, and determining whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface, so as to analyze the vehicle's waterproof performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1A flow chart of a simulation method for vehicle water management provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of a car windshield and a schematic diagram of the position of a rain source surface according to a first embodiment of the present invention;

[0027] Figure 3 A flowchart of a particle simulation parameter updating step provided in an embodiment of the present application;

[0028] Figure 4 A schematic diagram of rainfall calculation results according to the first embodiment of the present invention;

[0029] Figure 5 A schematic diagram of a monitoring surface provided in an embodiment of the present application;

[0030] Figure 6 A curve chart of inflow volume statistics of a monitoring surface provided in an embodiment of the present application;

[0031] Figure 7 A schematic diagram of the structure of a vehicle water management simulation device provided in an embodiment of the present application;

[0032] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] First, the applicable scenarios of the present application are described. The technical solution of the present application can be applied to the simulation analysis of the waterproof performance of a vehicle when driving in rainy days.

[0034] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0035] Embodiment 1

[0036] When a car is driving in the rain, the raindrops falling on the windshield are gathered into the gutter by the wipers and gravity. Since the air-conditioning air intake is often close to the gutter, some rainwater may be sucked into the air-conditioning system, affecting the blower performance, or even directly entering the cabin, affecting the cabin comfort. Therefore, the waterproof performance of the car in the rain is one of the key performance indicators of the whole vehicle development.

[0037] Figure 1 This is a flow chart of a simulation method for vehicle water management provided in an embodiment of the present application. Figure 1 As shown, taking the front windshield area of ​​a car as an example, the present application provides a simulation method for vehicle water management, which specifically includes:

[0038] S1. Obtain a model file of a vehicle part to be tested, so as to discretize a model of the vehicle part to be tested corresponding to the model file.

[0039] In step S1, the geometric model files of the whole vehicle or key analysis components such as windshield, wiper, gutter, air conditioning grille, etc. can be imported, and the model can be discretized using uniformly distributed particles.

[0040] It should be understood that the geometric model file here can be a general geometric description format such as .stl or .obj. In order to ensure the calculation accuracy of the interaction between raindrops and structures, the discrete particle size of the structure should be 1 / 2 of the raindrop diameter.

[0041] S2. Set the rainfall plane according to simulation requirements and set the vehicle's motion information.

[0042] like Figure 2 As shown, in step S2, a rainfall plane may be defined at a certain height directly above the model, a certain number of raindrops may be randomly generated in the rainfall plane at a certain time step interval, and the movement of the car or the wiper may be defined.

[0043] It should be noted that the time step interval and number of raindrops generated are converted from the specified rainfall height. Raindrop particles have an initial vertical downward velocity, and the speed of raindrops falling to the ground is about 9m / s, which is used as the initial velocity of raindrops. The diameter of raindrops is in the range of 0.5~5mm and can be determined according to the rainfall height.

[0044] S3. Determine the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle.

[0045] Figure 3 A flow chart of a particle simulation parameter updating step provided in an embodiment of the present application. Figure 3 As shown, in step S3, rainfall can be divided into a discrete raindrop state and a continuous medium state after convergence, and the two states are decoupled and solved separately, specifically including:

[0046] S31. For particles that are initially in a discrete raindrop state when falling from a rainfall plane, a convergence degree value of each particle is calculated, and according to the difference between the convergence degree value and a preset degree value, it is determined whether the particle is in a discrete state or a convergence state.

[0047] Specifically, for each raindrop falling from the rainfall plane, the convergence degree value of the particle is calculated in the following way:

[0048] ;

[0049] in, For particles The convergence value of For particles The distance kernel function between Represents particles volume.

[0050] Further, it can be determined whether the convergence degree value is less than or equal to a preset degree value. If so, the particle is determined to be in a discrete raindrop state. If not, the particle is in a continuous state, and the particle is determined to be an SPH particle in a continuous fluid. Specifically, when the particle When there are no other raindrops around, the convergence degree value is below 0.25. Therefore, when the particle convergence degree value is less than or equal to 0.25, it is considered to be a discrete state.

[0051] S32. For particles in a discrete state or a convergent state, target simulation parameters of the particles are updated using different rules.

[0052] In a specific embodiment, for a raindrop particle in a discrete state, the particle may be updated in the following manner:

[0053] The first momentum equation of the particle is determined by the first acceleration generated by the boundary pressure, the second acceleration generated by the boundary viscosity, and the gravitational acceleration:

[0054]

[0055] in, For particles The acceleration caused by the boundary pressure can be expressed in particle discrete form as:

[0056]

[0057] In the formula, the subscript express The physical quantity of the particle itself, subscript express Particle neighborhood inner boundary The physical quantity of the particle, represents density, Indicates pressure, express , Kernel function gradient between particles.

[0058] Represents particles Subject to the acceleration caused by the boundary viscosity force, the particle discretization form is:

[0059]

[0060] In the formula, is the initial value of the artificial sound speed, is the artificial viscosity coefficient, which is generally taken as 0.1. is the smooth length value, It can be expressed as:

[0061]

[0062] In the formula, represents the particle velocity vector, Represents the particle position vector.

[0063] Based on the first momentum equation, the velocity value and position coordinates of the particle are updated. By integrating the first momentum equation over time, the velocity value of the particle can be calculated, and then other simulation parameters such as the position coordinates can be obtained.

[0064] At the same time, the density value of the particle remains unchanged.

[0065] In a specific embodiment, when the particles are in a convergent state, in addition to the pressure and viscosity generated by the structure, they are also subject to the pressure gradient force, viscosity force and surface tension generated by the neighboring fluid particles. After the raindrops converge, they are considered to be a continuous phase. It no longer represents a single raindrop, but a SPH particle, which is part of the continuous fluid. Now solve the particle according to the SPH method Momentum equation. Exemplarily, for a SPH particle in a continuous state, the particle in the continuous fluid is updated in the following manner:

[0066] The second momentum equation of the particle is determined by the first acceleration generated by the pressure gradient of the field fluid, the second acceleration generated by the pressure gradient of the boundary particles, the third acceleration generated by the viscosity of the neighboring fluid, the fourth acceleration generated by the viscosity of the neighboring boundary, the fifth acceleration generated by the surface tension and the acceleration of gravity. Based on the second momentum equation, the velocity value and position coordinates of the particle are updated.

[0067] The second momentum equation can be expressed as:

[0068] ;

[0069] in, , Represents particles Affected by the acceleration caused by the pressure gradient of the neighboring fluid and boundary particles, , Represents particles The acceleration caused by the viscosity of the neighboring fluid and boundary particles. The calculation here can refer to the calculation formula in the discrete state.

[0070] Represents particles Acceleration due to surface tension:

[0071] ;

[0072] in, is the surface tension coefficient, is the outer normal direction of the surface particle.

[0073] Based on the law of conservation of mass, the mass equation of the particle is determined to update the density of the particle:

[0074] ;

[0075] in, Represents particles The density difference between .

[0076] S4. Setting a monitoring surface for the key focus position, and determining whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface.

[0077] Through simulation, the velocity, displacement and density values ​​corresponding to each fluid particle at different time points can be determined. Then, the total volume of particles passing through the monitoring surface within the preset time period can be counted. By comparing the total volume with the target volume, if it is greater than the target volume, it means that there is a water leak at the key location of concern. In this case, the vehicle designer needs to optimize the vehicle structure to improve the vehicle's waterproof performance.

[0078] The simulation effect of car driving water management in rainy days is as follows Figure 4 As shown in the figure, the water inflow at the key locations is further monitored, such as Figure 5 and Figure 6 As shown, the focus position here can be the plane corresponding to the connection between the front windshield and the hood of the vehicle, or the plane corresponding to the connection between the air-conditioning air inlet and the drain groove, etc. Then, a corresponding monitoring surface can be set at the aforementioned position.

[0079] This application uses particles to characterize rainfall, and according to the convergence of rainfall particles, it is divided into discrete state and continuous state, and particles in different states are solved independently; for discrete state particles, the resultant force they receive is their own gravity, as well as the pressure and viscosity provided by the boundary particles in the support domain; for continuous state particles, the resultant force they receive is their own gravity, the pressure and viscosity provided by the boundary particles in the support domain, and the pressure gradient force, viscosity and surface tension provided by the continuous state particles in the support domain. In the prior art, when traditional CFD methods deal with such cross-scale problems, it is difficult to select a suitable grid size to balance computational efficiency and computational accuracy, and they are often unable to simulate directly; although the SPH particle method also uses particles to discretize the fluid, its theoretical basis is based on continuous medium mechanics, and fluid particles need to maintain a continuous cluster state to ensure computational accuracy and stability, and it is impossible to directly calculate the movement of a single droplet particle. The rainfall simulation method proposed in the present invention takes into account both the continuous and discrete states of rainfall, and ensures the computational accuracy and stability of different states.

[0080] Embodiment 2

[0081] In one embodiment of the present application, a method for updating target simulation parameters of particles is also provided.

[0082] Exemplarily, the physical field is updated in the following way:

[0083] At the end of the first time step, the density, velocity, and internal energy are advanced by half a time step from the initial state, while the particle's position is advanced by one time step. At the beginning of each subsequent time step, the particle's density, velocity, and internal energy are advanced by another half a time step to obtain the value at an integer time step so as to keep consistent with the particle's position at all times.

[0084]

[0085] When a time step ends, the density, velocity, internal energy, and position of the particle are advanced one time step forward:

[0086]

[0087] In this way, by updating the parameters through the leapfrog integration method, the solution calculation can be completed faster and more accurately, thereby improving the simulation rate.

[0088] Embodiment 3

[0089] Figure 7 FIG. 1 is a schematic diagram of a vehicle water management simulation device provided in an embodiment of the present application. Figure 7 As shown, based on the same inventive concept, an embodiment of the present application also provides a simulation device for vehicle water management, and the device 300 includes:

[0090] An input module 3001 is used to obtain a model file of a vehicle part to be tested, so as to discretize a model of the vehicle part to be tested corresponding to the model file;

[0091] A definition module 3002 is used to set the rainfall plane according to the simulation requirements and the movement information of the vehicle;

[0092] A solution module 3003 is used to determine the state of each particle according to the degree of particle aggregation, so as to update the target simulation parameters of the particle;

[0093] The judgment module 3004 is used to set a monitoring surface for the key focus position, and determine whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface.

[0094] In a preferred embodiment, the solution module 3003 is specifically used for:

[0095] For each raindrop particle falling on the rainfall plane, the convergence degree value of the particle is calculated, and according to the difference between the convergence degree value and the preset degree value, it is determined whether the particle is in a discrete state or a convergence state; for particles in a discrete state or a convergence state, the target simulation parameters of the particle are updated according to different rules.

[0096] In a preferred embodiment, for each particle falling from the rainfall plane, the solution module 3003 calculates the convergence degree value of the particle in the following manner:

[0097] ;

[0098] in, For particles The convergence value of For particles The distance kernel function between Represents particles volume.

[0099] In a preferred embodiment, the solution module 3003 is also used to determine whether the convergence degree value is less than or equal to a preset degree value; if so, the particle is determined to be in a discrete state; if not, the particle is in a continuous state, and the particle is determined to be an SPH particle in a continuous fluid.

[0100] In a preferred embodiment, for a raindrop in a discrete state, the solution module 3003 updates the raindrop in the following manner: a first momentum equation of the raindrop is determined through a first acceleration generated by the boundary pressure, a second acceleration generated by the boundary viscosity, and the gravitational acceleration; based on the first momentum equation, the velocity value and position coordinates of the raindrop are updated; wherein the density value of the raindrop remains unchanged.

[0101] In a preferred embodiment, for the SPH particles in a continuous state, the solution module 3003 updates the particles in the continuous fluid in the following manner: determine the second momentum equation of the particle through the first acceleration generated by the pressure gradient of the field fluid, the second acceleration generated by the pressure gradient of the boundary particles, the third acceleration generated by the viscosity of the neighborhood fluid, the fourth acceleration generated by the viscosity of the neighborhood boundary, the fifth acceleration generated by the surface tension and the acceleration of gravity; based on the second momentum equation, update the velocity value and position coordinates of the particle; based on the law of conservation of mass, determine the mass equation of the particle to update the density of the particle.

[0102] In a preferred embodiment, the solving module 3003 updates the speed value in the following manner:

[0103] Based on time point The acceleration value at the time point is updated The velocity value of the particle at

[0104] And, the solving module 3003 updates the position coordinates in the following manner:

[0105] Based on time point The velocity value of the particle at the time point T and the position coordinates of the particle at the time point T are updated to obtain the time The location coordinates of .

[0106] See also Figure 8 , Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown in , the electronic device 400 includes a processor 410 , a memory 420 and a bus 430 .

[0107] The memory 420 stores machine-readable instructions executable by the processor 410. When the electronic device 400 is running, the processor 410 communicates with the memory 420 through the bus 430. When the machine-readable instructions are executed by the processor 410, the steps of a vehicle water management simulation method in the above-mentioned method embodiment can be executed. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0108] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of a simulation method for vehicle water management in the above-mentioned method embodiment can be executed. The specific implementation method can be found in the method embodiment and will not be repeated here.

[0109] 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.

[0110] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, 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 communication interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0111] In addition, 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.

[0112] Furthermore, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0113] It should be noted that if the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, 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. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0114] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0115] The above description is only an embodiment of the present application and is not intended to limit the protection scope of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A simulation method for water management of vehicles driving in rainy days, characterized in that: The method comprises: Obtaining a model file of the vehicle part to be tested, so as to discretize particles of the model of the vehicle part to be tested corresponding to the model file; Set the rainfall plane according to the simulation requirements, which is used to randomly generate raindrops represented by particles during the simulation process, and set the vehicle's motion information; Determine the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle; A monitoring surface is set for the key focus position, and based on the total volume of particles falling into the monitoring surface, it is determined whether the corresponding key focus position is leaking, so as to ensure the waterproof performance of the vehicle.

2. The method according to claim 1, characterized in that The step of determining the state of each particle according to the degree of particle aggregation to update the target simulation parameters of the particle specifically includes: For each particle falling from the rainfall plane, a convergence degree value of the particle is calculated, and according to the difference between the convergence degree value and a preset degree value, whether the particle is in a discrete state or a convergence state is determined; For particles in discrete state or convergent state, the target simulation parameters of the particle are updated through different rules.

3. The method according to claim 2, characterized in that Determine whether the convergence degree value is less than or equal to a preset degree value; If so, it is determined that the particle is a raindrop in a discrete state; If not, the particle is in a convergence state and is determined to be an SPH particle in the continuous fluid.

4. The method according to claim 3, characterized in that For raindrops in discrete states, the raindrops are updated in the following ways: Determine a first momentum equation of the raindrop through a first acceleration generated by the boundary pressure, a second acceleration generated by the boundary viscosity, and the gravitational acceleration; Based on the first momentum equation, updating the velocity value and position coordinates of the raindrop; Among them, the density value of the raindrop remains unchanged.

5. The method according to claim 3, characterized in that: For SPH particles in the continuous state, the particles in the continuous fluid are updated in the following ways: The second momentum equation of the particle is determined by a first acceleration generated by a pressure gradient of a neighboring fluid, a second acceleration generated by a pressure gradient of a boundary particle, a third acceleration generated by a viscosity force of the neighboring fluid, a fourth acceleration generated by a viscosity force of a neighboring boundary, a fifth acceleration generated by surface tension, and the acceleration of gravity. Based on the second momentum equation, the velocity value and position coordinates of the particle are updated; Based on the law of conservation of mass, the mass equation of the particle is determined to update the density of the particle.

6. The method according to claim 4 or 5, characterized in that: The speed value is updated in the following way: Based on time point The acceleration value at the time point is updated The velocity value of the particle at And, update the position coordinates in the following way: Based on time point The velocity value of the particle at the time point T and the position coordinates of the particle at the time point T are updated to obtain the time The location coordinates of .

7. A simulation device for water management of vehicles driving in rainy days, characterized in that: The device comprises: An input module is used to obtain a model file of a vehicle part to be tested, so as to discretize a model of the vehicle part to be tested corresponding to the model file; Definition module, used to set the rainfall plane according to simulation requirements and set the vehicle's motion information; A solution module is used to determine the state of each particle according to the degree of particle aggregation so as to update the target simulation parameters of the particle; The judgment module is used to set a monitoring surface for the key focus position, and determine whether the corresponding key focus position is leaking based on the total volume of particles falling into the monitoring surface.

8. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the simulation method for water management of vehicle driving in rainy weather as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the simulation method for water management of vehicle driving in rainy weather as claimed in any one of claims 1 to 6 are executed.

Images