Vehicle thermal management performance optimization method and device, equipment, storage medium and product

Abstract

The invention discloses a vehicle thermal management performance optimization method and device, equipment, a storage medium and a product. The method comprises the steps of obtaining a to-be-optimized vehicle model, an optimization scene demand and an optimization simulation demand sent by a performance optimization demand side; if the to-be-optimized vehicle model has the performance optimization basic example, obtaining a numerical wind tunnel encryption strategy of the performance optimization basic example; generating a first target calculation result based on a numerical wind tunnel encryption strategy according to an optimization scene demand; determining an optimization result processing template according to optimization simulation requirements; the optimization result processing template is adopted to process the first target calculation result, and a simulation result processing report is generated; and feeding back the simulation result processing report to a performance optimization demander, so that the performance optimization demander performs vehicle thermal management performance optimization based on the simulation result processing report. According to the technical scheme, the simulation calculation efficiency and optimization accuracy of vehicle thermal management performance optimization are improved.

Description

Technical Field

[0001] The present invention relates to the field of data simulation technology, and in particular to a vehicle thermal management performance optimization method, device, equipment, storage medium and product. Background Art

[0002] At present, in the field of vehicle thermal management performance development, performance such as heat damage and thermal comfort is mainly verified by the whole vehicle road. With the development of numerical simulation software, numerical environment chamber or numerical road simulation is usually used as a means to virtually verify and optimize thermal management performance.

[0003] The existing methods for optimizing thermal management performance based on environmental wind tunnels have a low degree of automation, a large amount of calculations in the simulation process, and low calculation efficiency. Moreover, when the simulation calculation efficiency is improved, the simulation calculation accuracy cannot be guaranteed. In addition, the construction efficiency of the numerical wind tunnel simulation environment is low, and it cannot meet the performance optimization requirements in different scenarios. Summary of the invention

[0004] The present invention provides a vehicle thermal management performance optimization method, device, equipment, storage medium and product to improve the simulation calculation efficiency of vehicle thermal management performance optimization, improve the accuracy of performance optimization, meet the needs of different optimization scenarios, and achieve comprehensive performance optimization.

[0005] According to one aspect of the present invention, a method for optimizing vehicle thermal management performance is provided, the method comprising:

[0006] Obtain the vehicle model to be optimized, optimization scenario requirements, and optimization simulation requirements sent by the performance optimization demander;

[0007] If a basic calculation example for performance optimization exists for the vehicle model to be optimized, obtaining a numerical wind tunnel encryption strategy for the basic calculation example for performance optimization;

[0008] According to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy, a first target calculation result is generated;

[0009] Determine an optimization result processing template according to the optimization simulation requirements;

[0010] Processing the first target calculation result using the optimization result processing template to generate a simulation result processing report;

[0011] The simulation result processing report is fed back to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0012] According to another aspect of the present invention, a vehicle thermal management performance optimization device is provided, the device comprising:

[0013] A data acquisition module is used to obtain the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander;

[0014] An encryption strategy acquisition module, used for acquiring a numerical wind tunnel encryption strategy of a performance optimization basic example if a performance optimization basic example exists for the vehicle model to be optimized;

[0015] A first result generating module, used for generating a first target calculation result according to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy;

[0016] A template determination module, used to determine an optimization result processing template according to the optimization simulation requirements;

[0017] A report generation module, used to process the first target calculation result using the optimization result processing template to generate a simulation result processing report;

[0018] A report feedback module is used to feed back the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0019] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0020] at least one processor; and

[0021] a memory communicatively connected to the at least one processor; wherein,

[0022] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle thermal management performance optimization method described in any embodiment of the present invention.

[0023] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle thermal management performance optimization method described in any embodiment of the present invention when executed.

[0024] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the above-mentioned vehicle thermal management performance optimization method is implemented.

[0025] The technical solution of the embodiment of the present invention generates a first target calculation result based on the numerical wind tunnel encryption strategy according to the optimization scenario requirements when determining that a performance optimization basic example exists for the vehicle model to be optimized, and determines an optimization result processing template according to the optimization simulation requirements, and uses the optimization result processing template to process the first target calculation result to generate a simulation result processing report, thereby realizing automatic determination of the vehicle thermal management performance optimization simulation result. In the process of numerical wind tunnel simulation, by determining the performance basic example, and performing numerical wind tunnel simulation based on the digital wind tunnel encryption strategy of the performance basic example and the local encryption strategy of the optimization scenario requirements, and selecting the automatic optimization processing template to generate simulation results, the simulation calculation efficiency of the vehicle thermal management performance optimization is improved, and the performance optimization accuracy is improved while ensuring efficiency. The technical solution of this embodiment can meet the requirements of different optimization scenarios and realize comprehensive performance optimization.

[0026] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] 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.

[0028] Figure 1 is a flow chart of a vehicle thermal management performance optimization method provided according to Embodiment 1 of the present invention;

[0029] Figure 2 is a flow chart of a vehicle thermal management performance optimization method provided according to Embodiment 2 of the present invention;

[0030] Figure 3 is a flow chart of a vehicle thermal management performance optimization method provided according to Embodiment 3 of the present invention;

[0031] Figure 4 is a schematic structural diagram of a vehicle thermal management performance optimization device provided according to a fourth embodiment of the present invention;

[0032] Figure 5 It is a schematic diagram of the structure of an electronic device for implementing the vehicle thermal management performance optimization method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment 1

[0036] Figure 1 This is a flow chart of a vehicle thermal management performance optimization method provided in the first embodiment of the present invention. This embodiment can be applied to the case of performing numerical wind tunnel simulation calculations on thermal environments of vehicles under different optimization requirements. The method can be executed by a vehicle thermal management performance optimization device, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0037] S110, obtaining the vehicle model to be optimized, the optimization scenario requirement, and the optimization simulation requirement sent by the performance optimization demander.

[0038] S120: If a basic performance optimization example exists for the vehicle model to be optimized, a numerical wind tunnel encryption strategy for the basic performance optimization example is obtained.

[0039] S130. Generate a first target calculation result according to optimization scenario requirements and based on a numerical wind tunnel encryption strategy.

[0040] S140: Determine an optimization result processing template according to optimization simulation requirements.

[0041] S150, using the optimization result processing template to process the first target calculation result and generate a simulation result processing report.

[0042] S160, feeding back the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0043] The party requiring performance optimization may be a party that has a need to optimize the vehicle thermal management performance of the vehicle to be optimized. The vehicle to be optimized may be a commercial vehicle, etc. The vehicle model to be optimized may be a virtual three-dimensional model of the vehicle to be optimized.

[0044] Among them, the optimization scenario requirements can be pre-determined by the performance optimization demander according to their actual optimization requirements. For example, the optimization scenario requirements can be thermal balance scenario optimization, thermal comfort scenario optimization, and heat damage scenario optimization. The local encryption strategy, test points, and calibration results of the thermal environment numerical wind tunnel model corresponding to different optimization scenarios are different.

[0045] Among them, the optimization simulation requirements can be pre-determined by the performance optimization demander based on its actual optimization requirements. For example, in the thermal balance optimization scenario, the optimization simulation requirement is to expect to obtain temperature simulation calculation results; in the thermal comfort optimization scenario, the optimization simulation requirement is to expect to obtain temperature simulation calculation results, velocity simulation calculation results and pressure simulation calculation results, etc.

[0046] Among them, the basic example of performance optimization can be a case that is similar to the model of the vehicle to be optimized and has completed the optimization simulation calculation. For example, the vehicle to be optimized that currently needs to be optimized is vehicle A'. The numerical wind tunnel simulation of the thermal environment of vehicle A has been completed in the historical time period and the corresponding simulation results have been obtained. The difference between vehicle A' and vehicle A is that vehicle A' has modified the local area of ​​the chassis based on vehicle A, and the structures of other areas are exactly the same as those of vehicle A. Therefore, the numerical wind tunnel simulation results of the thermal environment of vehicle A in the historical time period can be used as the basic example of performance optimization of vehicle A'.

[0047] For another example, if the difference between vehicle A' and vehicle A is that the vehicle regional structures are completely different, or most of the vehicle regional structures are different, then the numerical wind tunnel simulation results of the thermal environment of vehicle A cannot be used as a basic example for performance optimization of vehicle A'. In this case, it can be considered that vehicle A' has no basic example for performance optimization.

[0048] This embodiment also provides a process for constructing a numerical wind tunnel model of a thermal environment and performing simulation calculations on vehicles of different types or structures in different scenarios. In an optional embodiment, the process for constructing a numerical simulation model of a thermal environment and performing simulation calculations on a vehicle is as follows:

[0049] Step a1: obtain a reference vehicle model, and establish a thermal environment wind tunnel simulation model based on actual measurement data and three-dimensional model data of the thermal environment wind tunnel, and generate a basic numerical wind tunnel simulation model including the reference vehicle model and the thermal environment wind tunnel simulation model.

[0050] Specifically, based on the actual wind tunnel measurement data and three-dimensional model data of the thermal environment wind tunnel, the nozzle, wind tunnel test section and closing of the thermal environment wind tunnel are established. During the establishment process, it is necessary to ensure that the model of the constructed thermal environment wind tunnel matches the size and shape of the actual thermal environment wind tunnel.

[0051] Among them, the nozzle includes the rectification and test equipment therein; the function of the nozzle can be to guide the flowing air into the wind tunnel test section to ensure stable air flow. The wind tunnel test section includes the ground and nearby main accessories (within the width of the whole vehicle, with a size above 1 / 10 of the width), side and top surfaces, and accessories such as lighting devices. The wind tunnel test section is mainly composed of the test area in the wind tunnel, covering the accessories near the ground (such as the vehicle chassis, side and top surfaces, etc.), as well as lighting devices, etc., all of which need to be truly restored in the simulation to ensure the accuracy of the test results. The closing is established according to the posture of the final adjustment of the vehicle size. The closing is the exit of the wind tunnel, which can be adjusted according to the size and posture of the whole vehicle.

[0052] Step a2: According to the preset surface mesh encryption strategy, volume mesh encryption strategy and boundary layer mesh encryption strategy, the basic numerical wind tunnel simulation model is meshed and divided to obtain an intermediate numerical wind tunnel simulation model.

[0053] The surface mesh encryption strategy may include setting the surface mesh chord difference, specifically, performing geometric full-fidelity division according to the chord difference of 0.001. The surface mesh encryption strategy also includes setting the contact relationship, and the release relationship between each vehicle component is set to an interference relationship.

[0054] Among them, the volume mesh encryption strategy can be set to include at least three layers of encryption between the exterior of the vehicle and the established thermal environment wind tunnel. The local encryption strategy is that the local area of ​​interest includes at least 6-10 meshes, among which the local area of ​​interest in the thermal balance optimization scenario can be a cold zone module, etc. The total number of meshes is set to be between about 50 million and 100 million.

[0055] Among them, the boundary layer mesh encryption strategy can be used to set the mesh encryption where the air and the vehicle surface come into contact when the air flows over the vehicle surface. According to the mass flow and temperature boundaries, the actual boundary settings are used for the ground and the vehicle tires, fans, etc.

[0056] Specifically, the mesh encryption area is divided according to the mesh encryption strategy set above to obtain an intermediate numerical wind tunnel simulation model.

[0057] It should be noted that when constructing the reference vehicle model, the simulation model is established according to the whole vehicle posture during the whole vehicle test phase, so as to take the vehicle posture factor into account during the simulation process and ensure the accuracy of the numerical simulation results.

[0058] Step a3, simulating and calculating the intermediate numerical wind tunnel simulation model until a preset simulation iteration completion condition is met to obtain a target numerical wind tunnel simulation model; the target numerical wind tunnel simulation model has a numerical wind tunnel encryption strategy and performance simulation calculation results obtained by simulation calculation.

[0059] The simulation iteration completion condition can be pre-set by relevant technical personnel according to actual needs. For example, the simulation iteration completion condition can be that the simulation results in the iteration process tend to be stable. It should be noted that in the iteration process, numerical iteration is performed by adjusting the grid size. The simulation calculation result in the iteration cycle when the simulation iteration completion condition is reached is used as the final performance simulation calculation result.

[0060] It should be noted that due to the different optimization requirements, the optimization focus in different optimization scenarios is different, and the local encrypted areas and test point settings are different. For example, the thermal balance optimization scenario is concerned with the thermal condition of the vehicle chassis, while the thermal comfort optimization scenario is concerned with the thermal condition of the vehicle cab.

[0061] In summary, this embodiment constructs target numerical wind tunnel simulation models under three different optimization scenarios. They include thermal balance, heat damage and thermal comfort respectively. After obtaining the simulation calculation results, numerical calibration is performed. According to different thermal management performances, it is divided into internal and external fields, and calibrated in layers from outside to inside and from front to back. Ensure the accuracy of the surrounding environment and component simplification. Taking thermal balance as an example, first of all, it is necessary to ensure that the flow field and temperature field of the test point are measured at the same point. Due to space limitations, trade-offs can be made. Thermal balance is mainly the heat exchange between coolant and air. First, the wind speed and wind temperature at the nozzle are calibrated, and then the wind speed and wind temperature are calibrated again 1m in front of the front of the vehicle. Then, the wind speed and wind temperature are tested and calibrated in front of, behind and around the main cooling module to determine that the physical quantities such as air volume, wind temperature, reflux, and diversion are accurate. Finally, the inlet and outlet water temperature, flow rate, etc. inside the heat exchanger are calibrated.

[0062] Step a4: Associating the target numerical wind tunnel simulation model with the reference vehicle model as a basic example for performance optimization.

[0063] When the vehicle model or vehicle structure between the vehicle to be optimized and the reference vehicle is the same, for example, they are both vehicles of the same brand and model, and the only difference is the number or difference of vehicle parts, then the target numerical wind tunnel simulation model of the reference vehicle can be used as a basic example for performance optimization of the vehicle to be optimized.

[0064] It should be noted that in order to further improve the modeling and simulation efficiency of the vehicle to be optimized, the encryption strategy of the local encrypted area is distinguished by naming rules during the storage process of the target numerical wind tunnel simulation model obtained in the early stage, so that the encryption strategy can be quickly imported when the numerical wind tunnel encryption strategy of the performance optimization basic example is obtained. Among them, the numerical wind tunnel encryption strategy is the grid encryption strategy of the target numerical wind tunnel simulation model.

[0065] Specifically, for different optimization scenarios (thermal balance, thermal comfort and heat damage, etc.), folders and files for storing numerical wind tunnel encryption strategies are constructed and named based on preset naming rules. Among them, folders are constructed with corresponding folders based on the area within the solid surface and the fluid area, as well as each vehicle area (such as the chassis and the cab). For example, folder A is named: chassis area encryption strategy. The file name is constructed with the name of the internal components of the corresponding area of ​​the vehicle area named by the file, such as the chassis area includes wheels, engines and cold zone modules. The encryption strategies of different vehicle areas and components in different optimization scenarios are different. The components are divided more finely based on different structural parts or different faces and bodies in the components to obtain the product identifier (Product Identifier) ​​under the corresponding file, and named in PID format.

[0066] According to the above naming rules, when the vehicle model to be optimized is obtained, the corresponding numerical wind tunnel encryption strategy can be imported with one click according to the above naming rules. When the difference between the vehicle to be optimized and the vehicle in the basic example is only the slight difference on the surface or inside of the parts, the numerical wind tunnel encryption strategy under the corresponding PID can be directly imported based on the basic performance optimization example, which greatly reduces the complexity of manual selection and creation, and significantly improves the efficiency of building the numerical wind tunnel simulation model of the vehicle to be optimized.

[0067] According to the optimization scenario requirements (such as heat damage, thermal comfort and thermal balance, etc.), select the folder under the corresponding scenario requirements, and based on the above naming method, select the corresponding local encryption strategy and import it with one click; based on the numerical wind tunnel encryption strategy of the basic performance optimization example, combine the imported local encryption strategy to generate the numerical wind tunnel simulation model of the vehicle to be optimized, and simulate the numerical wind tunnel simulation model to obtain the first target calculation result. The simulation calculation process can be implemented based on existing simulation algorithms, such as the LBM (Lattice Boltzmann Method) algorithm.

[0068] According to the optimization simulation requirements, determine the optimization result processing template. Among them, the optimization result processing template can be a standard processing template or a custom processing template. Among them, the standard processing template can meet the optimization needs of most demanders and is pre-built by relevant technical personnel. For example, the standard processing template is used to process the temperature data obtained by simulation. The temperature data can be considered as the data that most demanders need to pay attention to in the process of optimizing the thermal management performance of most vehicles. Custom processing templates usually have specific testing requirements for the demander. For example, in addition to paying attention to temperature data, the demander often pays attention to other data, such as pressure data or speed data.

[0069] Both standard processing templates and custom processing templates can be pre-built by relevant technical personnel, such as recording the generation of simulation results and the automated processing of simulation results through macro recording.

[0070] The first target calculation result is automatically processed using an optimization result processing template to generate a simulation result processing report; the simulation result processing report is fed back to the performance optimization demander; the performance optimization demander determines whether to optimize the vehicle thermal management performance again based on the simulation result processing report until the vehicle thermal management performance optimization conditions are met, which can be determined by the optimization demander based on its actual needs.

[0071] The technical solution of the embodiment of the present invention generates a first target calculation result based on the numerical wind tunnel encryption strategy according to the optimization scenario requirements when determining that a performance optimization basic example exists for the vehicle model to be optimized, and determines an optimization result processing template according to the optimization simulation requirements, and uses the optimization result processing template to process the first target calculation result to generate a simulation result processing report, thereby realizing automatic determination of the vehicle thermal management performance optimization simulation result. In the process of numerical wind tunnel simulation, by determining the performance basic example, and performing numerical wind tunnel simulation based on the digital wind tunnel encryption strategy of the performance basic example and the local encryption strategy of the optimization scenario requirements, and selecting the automatic optimization processing template to generate simulation results, the simulation calculation efficiency of the vehicle thermal management performance optimization is improved, and the performance optimization accuracy is improved while ensuring efficiency. The technical solution of this embodiment can meet the requirements of different optimization scenarios and realize comprehensive performance optimization.

[0072] Embodiment 2

[0073] Figure 2 This is a flow chart of a vehicle thermal management performance optimization method provided in Embodiment 2 of the present invention. This embodiment is optimized and improved on the basis of the above-mentioned technical solutions.

[0074] Furthermore, the step of "generating a first target calculation result based on the numerical wind tunnel encryption strategy according to the optimization scenario requirements" is refined into "determining the difference area between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example; determining the first local encryption strategy according to the optimization scenario requirements, and generating a first numerical wind tunnel simulation model based on the numerical wind tunnel encryption strategy and the vehicle model to be optimized according to the first local encryption strategy; determining the performance optimization calculation method of the vehicle model to be optimized according to the difference area; generating a first target calculation result based on the first numerical wind tunnel simulation model according to the performance optimization calculation method." to improve the method of determining the first target calculation result. It should be noted that for the parts not described in detail in the embodiments of the present invention, please refer to the description of other embodiments. Figure 2 As shown, the method comprises the following specific steps:

[0075] S210, obtaining the vehicle model to be optimized, the optimization scenario requirement, and the optimization simulation requirement sent by the performance optimization demander.

[0076] S220: If a basic performance optimization example exists for the vehicle model to be optimized, a numerical wind tunnel encryption strategy for the basic performance optimization example is obtained.

[0077] S230: Determine a difference region between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example.

[0078] S240. Determine a first local encryption strategy according to optimization scenario requirements, and generate a first numerical wind tunnel simulation model according to the first local encryption strategy, based on the numerical wind tunnel encryption strategy and the vehicle model to be optimized.

[0079] According to the optimization scenario requirements and the difference area, based on the naming of the folders and files corresponding to the corresponding optimization scenario requirements, the first local encryption strategy is imported with one click, and the first local encryption strategy and the numerical wind tunnel encryption strategy are combined to generate a first numerical wind tunnel simulation model that does not include the vehicle model to be optimized.

[0080] S250: Determine a performance optimization calculation method for the vehicle model to be optimized according to the difference area.

[0081] S260: Generate a first target calculation result according to a performance optimization calculation method and based on a first numerical wind tunnel simulation model.

[0082] Specifically, the performance optimization method of the vehicle model to be optimized can be determined according to the area or size of the difference area. If the area of ​​the difference area is large, the difference between the vehicle model to be optimized and the example vehicle model is large, and more parts need to be re-simulated; if the area of ​​the difference area is small, the difference between the vehicle model to be optimized and the example vehicle model is small, and fewer parts need to be re-simulated. Different calculation methods can be used for different situations to improve the efficiency of simulation calculation.

[0083] In an optional embodiment, a performance optimization calculation method for the vehicle model to be optimized is determined based on the difference area portion, including: if the difference area portion does not meet the preset area area threshold judgment condition, then the performance optimization calculation method for the vehicle model to be optimized is determined to be a fine-grained calculation method; accordingly, according to the performance optimization calculation method, based on the first numerical wind tunnel simulation model, a first target calculation result is generated, including: obtaining a basic performance simulation calculation result of a performance optimization basic example; based on the basic performance simulation calculation result, simulating the first numerical wind tunnel simulation model to obtain a first target calculation result.

[0084] The region area threshold judgment condition may be preset by relevant technical personnel. For example, the region area threshold judgment condition may be that the region size of the difference region portion is greater than a preset area threshold.

[0085] Exemplarily, if the area of ​​the difference region is not greater than a preset region area threshold, a fine-grained calculation method may be used. The fine-grained calculation method may be to perform simulation calculation only on the modified region or the changed region to obtain the current simulation result, and combine the current simulation result with the basic performance simulation result of the performance optimization basic example to obtain the first target calculation result.

[0086] Specifically, if a fine-grained calculation method is used, the basic performance simulation calculation results of the basic performance optimization example are obtained; the modified area is finely calculated, specifically, the simulation calculation step size can be reduced to obtain the current simulation result; the current simulation result and the basic performance simulation calculation result are combined to obtain the first target calculation result. It should be noted that the smaller the simulation calculation step size is set, the more accurate the simulation calculation is, and the longer it takes.

[0087] In another optional embodiment, a performance optimization calculation method for the vehicle model to be optimized is determined based on the difference area portion, including: if the difference area portion meets the preset area area threshold judgment condition, then the performance optimization calculation method for the vehicle model to be optimized is determined to be a coarse-grained and fine-grained mixed calculation method; accordingly, according to the performance optimization calculation method, based on the first numerical wind tunnel simulation model, a first target calculation result is generated, including: determining the local encrypted area and the non-local encrypted area in the first numerical wind tunnel simulation model; using a first preset calculation step size to simulate the non-local encrypted area in the first numerical wind tunnel simulation model to obtain a first performance optimization calculation result; and using a second preset calculation step size to simulate the local encrypted area in the first numerical wind tunnel simulation model to obtain a second performance optimization calculation result; generating a first target calculation result based on the first performance optimization calculation result and the second performance optimization calculation result.

[0088] Specifically, if the area of ​​the difference region is greater than a preset area threshold, a coarse-grained mixed calculation method can be used. The coarse-grained mixed calculation method can be a coarse-grained calculation method for the non-locally encrypted part and a fine-grained calculation method for the locally encrypted part. The locally encrypted part includes the difference region in addition to the locally encrypted area contained in the optimization scenario.

[0089] Exemplarily, a local encrypted area and a non-local encrypted area in a first numerical wind tunnel simulation model are determined, and a coarse-grained calculation method is used to simulate and calculate the non-local encrypted area in the first numerical wind tunnel simulation model to obtain a first performance optimization calculation result. And, a fine-grained calculation method is used to simulate and calculate the local encrypted area in the first numerical wind tunnel simulation model to obtain a second performance optimization calculation result. The first performance optimization calculation result and the second performance optimization calculation result are merged to obtain a first target calculation result. Among them, the coarse-grained calculation method can be implemented by setting a first preset calculation step; and the fine-grained calculation method can be implemented by setting a second preset calculation step; the first preset calculation step and the second preset calculation step can be set to be the same or different. When the first preset calculation step and the second preset calculation step are set to be the same, since the grid density of the non-local encrypted area is lower than that of the local encrypted area, the time consumed for simulating and calculating the non-local encrypted area is shorter than that of the local encrypted area.

[0090] S270: Determine an optimization result processing template according to optimization simulation requirements.

[0091] S280, using the optimization result processing template to process the first target calculation result and generate a simulation result processing report.

[0092] S290, feeding back the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0093] The technical solution of this embodiment determines the difference area between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example, determines the first local encryption strategy according to the optimization scenario requirements, and generates a first numerical wind tunnel simulation model based on the numerical wind tunnel encryption strategy and the vehicle model to be optimized according to the first local encryption strategy, determines the performance optimization calculation method of the vehicle model to be optimized according to the difference area, and generates a first target calculation result based on the first numerical wind tunnel simulation model according to the performance optimization calculation method. In the process of simulation calculation, the above technical solution selects different performance optimization calculation methods for simulation calculation by considering the difference area, thereby ensuring the accuracy of the simulation calculation while further improving the efficiency of the simulation calculation.

[0094] This embodiment also provides a numerical wind tunnel simulation calculation method when there is no basic performance optimization example for the vehicle model to be optimized. In an optional embodiment, after obtaining the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander, it also includes:

[0095] Step b1: If there is no basic performance optimization example for the vehicle model to be optimized, determine the second local encryption strategy according to the optimization scenario requirements.

[0096] If there is no basic performance optimization example for the vehicle model to be optimized, it is necessary to import the second local encryption strategy with one click according to the optimization scenario requirements and the folder and file naming in the corresponding optimization scenario. It should be noted that when there is no basic performance optimization example, the name of the local area of ​​the vehicle model to be optimized may not be consistent with the folder and file naming. For example, if the file is named chassis part type A, the name of the chassis area of ​​the vehicle model to be optimized may be chassis part type B. Therefore, in order to ensure that the area name of the vehicle model to be optimized is consistent with the folder and file naming, the naming can be standardized in advance.

[0097] Step b2: generating a second numerical wind tunnel simulation model according to the second local encryption strategy and the vehicle model to be optimized.

[0098] After constructing the numerical simulation wind tunnel model, the second local encryption strategy and the vehicle model to be optimized are imported with one click to obtain the second numerical wind tunnel simulation model.

[0099] Step b3, determining the local encrypted area and the non-local encrypted area in the second numerical wind tunnel simulation model.

[0100] Step b4: using a third preset calculation step size to perform simulation calculation on the non-local encrypted area in the second numerical wind tunnel simulation model to obtain a third performance optimization calculation result.

[0101] Specifically, a coarse-grained simulation calculation method is adopted, that is, a third preset calculation step is set, and a simulation calculation is performed on the non-local encrypted area in the second numerical wind tunnel simulation model to obtain a third performance optimization calculation result.

[0102] Step b5: using a fourth preset calculation step size to perform simulation calculation on the local encrypted area in the second numerical wind tunnel simulation model to obtain a fourth performance optimization calculation result.

[0103] Specifically, a fine-grained simulation calculation method is adopted, that is, a fourth preset calculation step is set, and simulation calculation is performed on the local encrypted area in the second numerical wind tunnel simulation model to obtain a fourth performance optimization calculation result.

[0104] Step b6: Generate a second target calculation result based on the third performance optimization calculation result and the fourth performance optimization calculation result.

[0105] The above technical solution realizes the numerical wind tunnel simulation calculation when there is no basic performance optimization example for the vehicle model to be optimized. Specifically, it combines the optimization scenario requirements, imports the second local encryption strategy with one click, and uses a method of first performing coarse-grained calculations on non-local areas and then performing fine-grained calculations on local areas to generate the second target calculation results, thereby ensuring the accuracy of the calculation results while improving the simulation calculation efficiency.

[0106] Embodiment 3

[0107] Figure 3 This is a flow chart of a vehicle thermal management performance optimization method provided in Embodiment 3 of the present invention. This embodiment provides a preferred example based on the above embodiments.

[0108] like Figure 3 As shown, the method comprises the following specific steps:

[0109] S31. Obtain the vehicle model to be optimized, optimization scenario requirements, and optimization simulation requirements sent by the performance optimization demander.

[0110] S32. Determine whether there is a basic example of performance optimization for the vehicle model to be optimized; if yes, execute S33a-S33d; if no, execute S34a-S34d.

[0111] S33a, determining a difference region between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example.

[0112] S33b. Determine a first local encryption strategy according to optimization scenario requirements, and generate a first numerical wind tunnel simulation model based on the first local encryption strategy, the numerical wind tunnel encryption strategy and the vehicle model to be optimized.

[0113] S33c, determining whether the area of ​​the difference region is greater than a preset area threshold; if so, performing a rough calculation; if not, performing a detailed calculation.

[0114] S33d. According to the first numerical wind tunnel simulation model, based on a simulation calculation method (rough calculation or detailed calculation), a first target calculation result is obtained.

[0115] S34a. Determine a second local encryption strategy according to optimization scenario requirements, and generate a second numerical wind tunnel simulation model according to the second local encryption strategy and the vehicle model to be optimized.

[0116] S34b, using a rough calculation method to perform simulation calculation on the non-local encrypted area in the second numerical wind tunnel simulation model to obtain a first simulation calculation result.

[0117] S34c, using a detailed calculation method to perform simulation calculation on the local encrypted area in the second numerical wind tunnel simulation model to obtain a second simulation calculation result.

[0118] S34d. Generate a second target calculation result according to the first simulation calculation result and the second simulation calculation result.

[0119] S35. Determine the optimization result processing template according to the optimization simulation requirements.

[0120] S36. Process the first target calculation result or the second target calculation result using the optimization result processing template to generate a simulation result processing report.

[0121] S37. Feedback the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0122] Embodiment 4

[0123] Figure 4 The schematic diagram of the structure of a vehicle thermal management performance optimization device provided in the fourth embodiment of the present invention. The vehicle thermal management performance optimization device provided in the embodiment of the present invention can be applied to the case of performing numerical wind tunnel simulation calculations of thermal environments of vehicles under different optimization requirements. The vehicle thermal management performance optimization device can be implemented in the form of hardware and / or software, such as Figure 4 As shown, the device specifically includes: a data acquisition module 401, an encryption strategy acquisition module 402, a first result generation module 403, a template determination module 404, a report generation module 405 and a report feedback module 406. Among them,

[0124] The data acquisition module 401 is used to acquire the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander;

[0125] The encryption strategy acquisition module 402 is used to acquire the numerical wind tunnel encryption strategy of the performance optimization basic calculation example if the vehicle model to be optimized has a performance optimization basic calculation example;

[0126] A first result generating module 403 is used to generate a first target calculation result according to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy;

[0127] The template determination module 404 is used to determine the optimization result processing template according to the optimization simulation requirements;

[0128] A report generating module 405 is used to process the first target calculation result using the optimization result processing template to generate a simulation result processing report;

[0129] The report feedback module 406 is used to feed back the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

[0130] The technical solution of the embodiment of the present invention generates a first target calculation result based on the numerical wind tunnel encryption strategy according to the optimization scenario requirements when determining that a performance optimization basic example exists for the vehicle model to be optimized, and determines an optimization result processing template according to the optimization simulation requirements, and uses the optimization result processing template to process the first target calculation result to generate a simulation result processing report, thereby realizing automatic determination of the vehicle thermal management performance optimization simulation result. In the process of numerical wind tunnel simulation, by determining the performance basic example, and performing numerical wind tunnel simulation based on the digital wind tunnel encryption strategy of the performance basic example and the local encryption strategy of the optimization scenario requirements, and selecting the automatic optimization processing template to generate simulation results, the simulation calculation efficiency of the vehicle thermal management performance optimization is improved, and the performance optimization accuracy is improved while ensuring efficiency. The technical solution of this embodiment can meet the requirements of different optimization scenarios and realize comprehensive performance optimization.

[0131] Optionally, the first result generating module 403 includes:

[0132] A difference part determination unit, used to determine a difference region part between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example;

[0133] A first simulation model generating unit, configured to determine a first local encryption strategy according to the optimization scenario requirement, and generate a first numerical wind tunnel simulation model according to the first local encryption strategy, based on the numerical wind tunnel encryption strategy and the vehicle model to be optimized;

[0134] An optimization calculation method determination unit, used to determine the performance optimization calculation method of the vehicle model to be optimized according to the difference area portion;

[0135] The first result generating unit is used to generate a first target calculation result according to the performance optimization calculation method and based on the first numerical wind tunnel simulation model.

[0136] Optionally, the optimization calculation method determination unit includes:

[0137] A first mode determination subunit is used to determine that the performance optimization calculation mode of the vehicle model to be optimized is a fine-grained calculation mode if the difference region part does not meet a preset region area threshold judgment condition;

[0138] Accordingly, the first result generating unit includes:

[0139] A basic result acquisition subunit, used to obtain the basic performance simulation calculation results of the performance optimization basic calculation example;

[0140] The first numerical wind tunnel simulation calculation subunit is used to perform simulation calculation on the first numerical wind tunnel simulation model according to the basic performance simulation calculation result to obtain a first target calculation result.

[0141] Optionally, the optimization calculation method determination unit includes:

[0142] A second mode determination subunit is used to determine that the performance optimization calculation mode of the vehicle model to be optimized is a coarse-grained and fine-grained mixed calculation mode if the difference region partially meets a preset region area threshold judgment condition;

[0143] Accordingly, the first result generating unit includes:

[0144] A region determination subunit, used for determining a local encrypted region and a non-local encrypted region in the first numerical wind tunnel simulation model;

[0145] A first simulation subunit is configured to perform simulation calculation on the non-local encrypted area in the first numerical wind tunnel simulation model by using a first preset calculation step length to obtain a first performance optimization calculation result; and

[0146] A second simulation subunit is used to perform simulation calculation on the local encrypted area in the first numerical wind tunnel simulation model by using a second preset calculation step length to obtain a second performance optimization calculation result;

[0147] The second numerical wind tunnel simulation calculation subunit is used to generate a first target calculation result according to the first performance optimization calculation result and the second performance optimization calculation result.

[0148] Optionally, the device further comprises:

[0149] A second encryption strategy determination module is used to determine a second local encryption strategy according to the optimization scenario requirements after obtaining the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander, if there is no performance optimization basic example for the vehicle model to be optimized;

[0150] A second simulation model generating module, used for generating a second numerical wind tunnel simulation model according to the second local encryption strategy and the vehicle model to be optimized;

[0151] An encrypted area determination module, used to determine a local encrypted area and a non-local encrypted area in the second numerical wind tunnel simulation model;

[0152] A first simulation calculation module is used to perform simulation calculation on the non-local encrypted area in the second numerical wind tunnel simulation model by using a third preset calculation step size to obtain a third performance optimization calculation result; and

[0153] A second simulation calculation module, used to perform simulation calculation on the local encrypted area in the second numerical wind tunnel simulation model by using a fourth preset calculation step length to obtain a fourth performance optimization calculation result;

[0154] The second result generating module is used to generate a second target calculation result according to the third performance optimization calculation result and the fourth performance optimization calculation result.

[0155] Optionally, the device further comprises:

[0156] A reference model acquisition module is used to acquire a reference vehicle model, and establish a thermal environment wind tunnel simulation model according to actual measurement data and three-dimensional model data of the thermal environment wind tunnel, and generate a basic numerical wind tunnel simulation model including the reference vehicle model and the thermal environment wind tunnel simulation model;

[0157] A mesh encryption module is used to perform mesh encryption on the basic numerical wind tunnel simulation model according to a preset surface mesh encryption strategy, a volume mesh encryption strategy and a boundary layer mesh encryption strategy to obtain an intermediate numerical wind tunnel simulation model;

[0158] A simulation iteration module is used to perform simulation calculation on the intermediate numerical wind tunnel simulation model until a preset simulation iteration completion condition is met to obtain a target numerical wind tunnel simulation model; the target numerical wind tunnel simulation model has a numerical wind tunnel encryption strategy and a performance simulation calculation result obtained by simulation calculation;

[0159] The calculation example generation module is used to associate the target numerical wind tunnel simulation model with the reference vehicle model as a basic calculation example for performance optimization.

[0160] The vehicle thermal management performance optimization device provided in the embodiment of the present invention can execute the vehicle thermal management performance optimization method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0161] Embodiment 5

[0162] Figure 5 A schematic diagram of an electronic device 50 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0163] like Figure 5 As shown, the electronic device 50 includes at least one processor 51, and a memory connected to the at least one processor 51 in communication, such as a read-only memory (ROM) 52, a random access memory (RAM) 53, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 51 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 52 or the computer program loaded from the storage unit 58 to the random access memory (RAM) 53. In the RAM 53, various programs and data required for the operation of the electronic device 50 can also be stored. The processor 51, the ROM 52, and the RAM 53 are connected to each other through a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0164] A number of components in the electronic device 50 are connected to the I / O interface 55, including: an input unit 56, such as a keyboard, a mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a disk, an optical disk, etc.; and a communication unit 59, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0165] The processor 51 may be a variety of general and / or dedicated processing components with processing and computing capabilities. Some examples of the processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 51 executes the various methods and processes described above, such as a vehicle thermal management performance optimization method.

[0166] In some embodiments, the vehicle thermal management performance optimization method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 58. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 50 via the ROM 52 and / or the communication unit 59. When the computer program is loaded into the RAM 53 and executed by the processor 51, one or more steps of the vehicle thermal management performance optimization method described above may be performed. Alternatively, in other embodiments, the processor 51 may be configured to execute the vehicle thermal management performance optimization method in any other appropriate manner (e.g., by means of firmware).

[0167] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0168] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0169] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0170] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0171] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0172] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0173] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0174] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing vehicle thermal management performance, characterized in that: include: Obtain the vehicle model to be optimized, optimization scenario requirements, and optimization simulation requirements sent by the performance optimization demander; If a basic calculation example for performance optimization exists for the vehicle model to be optimized, obtaining a numerical wind tunnel encryption strategy for the basic calculation example for performance optimization; According to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy, a first target calculation result is generated; Determine an optimization result processing template according to the optimization simulation requirements; Processing the first target calculation result using the optimization result processing template to generate a simulation result processing report; The simulation result processing report is fed back to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

2. The method according to claim 1, characterized in that The step of generating a first target calculation result according to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy includes: Determine a difference region between the vehicle model to be optimized and the example vehicle model of the performance optimization basic example; Determining a first local encryption strategy according to the optimization scenario requirements, and generating a first numerical wind tunnel simulation model according to the first local encryption strategy, based on the numerical wind tunnel encryption strategy and the vehicle model to be optimized; Determining a performance optimization calculation method of the vehicle model to be optimized according to the difference area portion; According to the performance optimization calculation method, based on the first numerical wind tunnel simulation model, a first target calculation result is generated.

3. The method according to claim 2, characterized in that The step of determining the performance optimization calculation method of the vehicle model to be optimized based on the difference area portion includes: If the difference region does not meet the preset region area threshold judgment condition, determining that the performance optimization calculation method of the vehicle model to be optimized is a fine-grained calculation method; Accordingly, according to the performance optimization calculation method, based on the first numerical wind tunnel simulation model, a first target calculation result is generated, including: Obtaining basic performance simulation calculation results of the performance optimization basic calculation example; According to the basic performance simulation calculation result, the first numerical wind tunnel simulation model is simulated and calculated to obtain a first target calculation result.

4. The method according to claim 2, characterized in that: The step of determining the performance optimization calculation method of the vehicle model to be optimized based on the difference area portion includes: If the difference region partially meets the preset region area threshold judgment condition, determining that the performance optimization calculation method of the vehicle model to be optimized is a coarse-grained and fine-grained mixed calculation method; Accordingly, according to the performance optimization calculation method, based on the first numerical wind tunnel simulation model, a first target calculation result is generated, including: Determine a local encrypted area and a non-local encrypted area in the first numerical wind tunnel simulation model; Using a first preset calculation step size, performing simulation calculation on the non-local encrypted area in the first numerical wind tunnel simulation model to obtain a first performance optimization calculation result; and Using a second preset calculation step length, performing simulation calculation on the local encrypted area in the first numerical wind tunnel simulation model to obtain a second performance optimization calculation result; A first target calculation result is generated according to the first performance optimization calculation result and the second performance optimization calculation result.

5. The method according to claim 1, characterized in that After obtaining the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander, the following step is also included: If there is no basic performance optimization example for the vehicle model to be optimized, determining a second local encryption strategy according to the optimization scenario requirements; Generate a second numerical wind tunnel simulation model according to the second local encryption strategy and the vehicle model to be optimized; Determine a local encrypted area and a non-local encrypted area in the second numerical wind tunnel simulation model; Using a third preset calculation step size, performing simulation calculation on the non-local encrypted area in the second numerical wind tunnel simulation model to obtain a third performance optimization calculation result; and Using a fourth preset calculation step length, performing simulation calculation on the local encrypted area in the second numerical wind tunnel simulation model to obtain a fourth performance optimization calculation result; A second target calculation result is generated according to the third performance optimization calculation result and the fourth performance optimization calculation result.

6. The method according to claim 1, characterized in that The method further comprises: Acquire a reference vehicle model, and establish a thermal environment wind tunnel simulation model based on actual measurement data and three-dimensional model data of the thermal environment wind tunnel, and generate a basic numerical wind tunnel simulation model including the reference vehicle model and the thermal environment wind tunnel simulation model; According to a preset surface mesh encryption strategy, a volume mesh encryption strategy and a boundary layer mesh encryption strategy, the basic numerical wind tunnel simulation model is meshed and divided to obtain an intermediate numerical wind tunnel simulation model; Performing simulation calculation on the intermediate numerical wind tunnel simulation model until a preset simulation iteration completion condition is met, thereby obtaining a target numerical wind tunnel simulation model; the target numerical wind tunnel simulation model has a numerical wind tunnel encryption strategy and a performance simulation calculation result obtained by simulation calculation; The target numerical wind tunnel simulation model is associated with the reference vehicle model as a basic example of performance optimization.

7. A vehicle thermal management performance optimization device, characterized in that: include: A data acquisition module is used to obtain the vehicle model to be optimized, the optimization scenario requirements and the optimization simulation requirements sent by the performance optimization demander; An encryption strategy acquisition module, used for acquiring a numerical wind tunnel encryption strategy of a performance optimization basic example if a performance optimization basic example exists for the vehicle model to be optimized; A first result generating module, used for generating a first target calculation result according to the optimization scenario requirements and based on the numerical wind tunnel encryption strategy; A template determination module, used to determine an optimization result processing template according to the optimization simulation requirements; A report generation module, used to process the first target calculation result using the optimization result processing template to generate a simulation result processing report; A report feedback module is used to feed back the simulation result processing report to the performance optimization demander, so that the performance optimization demander can optimize the vehicle thermal management performance based on the simulation result processing report.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle thermal management performance optimization method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle thermal management performance optimization method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the vehicle thermal management performance optimization method according to any one of claims 1 to 6.

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