Vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation

Abstract

The present invention discloses a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation, including: taking cooling water flow and air flow as decision variables, randomly generating a primary control strategy; performing one-dimensional and three-dimensional joint simulation of the cooling system based on the primary control strategy; taking the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by simulation as the optimization target, and updating the control strategy until the optimal control strategy is obtained after the iteration conditions are met. Coupling the one-dimensional and three-dimensional joint simulation technology in the multi-objective optimization algorithm of the electronic water pump and electronic fan control strategy improves the reliability of the optimization process.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle thermal management, and in particular to a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] The function of the vehicle engine cooling system is to stabilize the temperature of the engine's heat-loaded parts within an appropriate range. The cooling water flow and air flow are important parameters that determine its cooling efficiency. In the traditional mechanically coupled engine cooling system, since the components are mechanically coupled to the engine crankshaft, it is impossible to automatically adjust the speed to adapt to different working conditions.

[0004] The engine electronic cooling system, which consists of electronic control components such as electronic water pumps and electronic fans, can automatically adjust the flow of cooling water and air according to different working conditions, while ensuring that key components have a lower heat load and reducing the heat taken away by cooling water, ensuring the working efficiency of the engine. Therefore, formulating a reasonable cooling strategy is the key to improving the performance of the electronic control cooling system. When formulating a thermal management strategy, it is necessary to optimize the flow of cooling water and air.

[0005] With the development of computer simulation technology, one-dimensional and three-dimensional simulations have gradually become an important part of vehicle power system development. One-dimensional computing software represented by Simulink, GT-Power, FlowMaster and other software has a strong ability to build a real physical environment for cooling and thermal management. Through such one-dimensional software, the specific changes in water temperature in the cooling system can be well explored; three-dimensional computing software represented by Fluent, Star-ccm+ and others have a strong ability to handle fluid-solid coupling heat transfer problems, and can be used to explore the internal physical field distribution of a component in the system. The use of one-dimensional / three-dimensional joint simulation can complement the advantages of the two simulation methods and improve the accuracy of the simulation process.

[0006] The existing joint simulation technology of one-dimensional and three-dimensional simulation software is mainly based on the mutual exchange of data between one-dimensional and three-dimensional simulation software. For example, a study proposed a joint simulation method based on Simulink. However, in view of the problem that the interface between Simulink and some software has not yet been developed, data exchange is achieved by importing simulation data from other software into the MATLAB workspace. When exchanging data, data record documents are used as the carrier, and the operation is cumbersome.

[0007] Secondly, the existing technology has not formulated a reasonable data exchange step size based on real physical scenarios. For dynamic joint simulation, a data exchange step size that is too long may lead to a lack of accuracy, while a step size that is too short may lead to increased computing costs. Therefore, how to reasonably select the joint simulation step size is a key issue in optimizing the joint simulation process.

[0008] In addition, the current one-dimensional / three-dimensional joint simulation technology for automobile engine cooling systems mostly uses three-dimensional simulation software to calibrate a certain component, and then uses one-dimensional simulation to simulate the entire process. However, relying solely on calibration may result in the inability to obtain a relatively accurate result at a certain moment in the entire process, thereby causing errors and increasing time costs. Summary of the invention

[0009] In order to solve the above problems, the present invention proposes a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation, which couples the one-dimensional and three-dimensional joint simulation technology in the multi-objective optimization algorithm of the electronic water pump and electronic fan control strategy to improve the reliability of the optimization process.

[0010] In order to achieve the above object, the present invention adopts the following technical solution:

[0011] In a first aspect, the present invention provides a vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation, comprising:

[0012] Taking cooling water flow and air flow as decision variables, the initial control strategy is randomly generated;

[0013] Perform one-dimensional and three-dimensional co-simulation of cooling system based on the first-generation control strategy;

[0014] The one-dimensional and three-dimensional joint simulation includes: performing one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change amount of the radiator cooling water inlet temperature, determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation;

[0015] The maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by three-dimensional simulation are taken as the optimization targets, and the control strategy is updated until the iteration conditions are met to obtain the optimal control strategy.

[0016] As an optional implementation, whether the current one-dimensional simulation is stopped is determined by stopping the one-dimensional simulation when the change in the radiator cooling water inlet temperature before and after the simulation is greater than a set threshold, and determining the current one-dimensional simulation step size.

[0017] As an optional implementation, the process of determining the current three-dimensional simulation step size based on the current one-dimensional simulation step size includes: if the current one-dimensional simulation step size is less than a set time threshold, three-dimensional simulation is performed using the current one-dimensional simulation step size as the three-dimensional simulation step size; otherwise, the set time threshold is used as the three-dimensional simulation step size.

[0018] As an optional implementation, the three-dimensional simulation process includes: if the current one-dimensional simulation step is less than a set time threshold, a transient three-dimensional simulation is performed; otherwise, a steady-state three-dimensional simulation is performed.

[0019] As an optional implementation, the boundary conditions of the one-dimensional simulation include the radiator cooling water inlet temperature and the engine cooling water inlet temperature, the initial heat transfer coefficient of the engine cylinder liner and the radiator pipe, the effective power set according to the engine operating conditions, and the cooling water flow and air flow set according to the control strategy.

[0020] As an optional implementation method, a non-dominated sorting genetic algorithm is executed with the goal of minimizing the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall, so as to select the corresponding decision variables and use them as the new generation parent population. After the new generation parent population is subjected to genetic algorithm selection, crossover and mutation, a new generation population is obtained, and one-dimensional and three-dimensional joint simulation is continued until the iteration conditions are met to obtain the optimal control strategy.

[0021] As an optional implementation, the optimal control strategy is the optimal rotation speed of the electronic water pump and the electronic fan.

[0022] In a second aspect, the present invention provides a vehicle thermal management strategy optimization system based on one-dimensional and three-dimensional joint simulation, comprising:

[0023] The initialization module is configured to randomly generate an initial control strategy using cooling water flow and air flow as decision variables;

[0024] The joint simulation module is configured to perform a one-dimensional and three-dimensional joint simulation of the cooling system based on the primary control strategy; the one-dimensional and three-dimensional joint simulation includes: performing a one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change in the radiator cooling water inlet temperature, determining the current three-dimensional simulation step according to the current one-dimensional simulation step, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation;

[0025] The iterative optimization module is configured to use the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by three-dimensional simulation as the optimization targets, and update the control strategy until the iterative conditions are met to obtain the optimal control strategy.

[0026] In a third aspect, the present invention provides an electronic device comprising a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method described in the first aspect is performed.

[0027] In a fourth aspect, the present invention provides a computer-readable storage medium for storing computer instructions, wherein when the computer instructions are executed by a processor, the method described in the first aspect is performed.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention proposes a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation, coupling one-dimensional and three-dimensional joint simulation technology in a multi-objective optimization algorithm for electronic water pump and electronic fan control strategy to improve the reliability of the optimization process.

[0030] The present invention proposes a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation, combining the respective advantages of one-dimensional and three-dimensional simulations, using software interfaces for data exchange, and realizing real-time updating of one-dimensional and three-dimensional simulation boundary conditions over time, so that the simulation process is more in line with physical reality. Compared with traditional calibration methods, it is more in line with the actual sequential working process of the cooling system and reduces errors in the simulation process; and under certain conditions, all operations can be implemented through program integration, avoiding the cumbersome process of using other files or software as carriers.

[0031] The change interval of the one-dimensional simulation in the present invention changes with the change of the radiator cooling water inlet temperature obtained by simulation, and the three-dimensional simulation step is determined according to the time interval. That is, the data exchange step of the one-dimensional simulation and the three-dimensional simulation is automatically adjusted according to the change of the radiator cooling water inlet temperature, thereby controlling the calculation cost while ensuring the simulation accuracy.

[0032] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0034] Figure 1A flow chart of a vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation provided in Example 1 of the present invention;

[0035] Figure 2 A one-dimensional and three-dimensional joint simulation flow chart provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0038] It should be noted that the terms used herein are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that the terms "include" and "comprise" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0039] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0040] Example 1

[0041] This embodiment provides a vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation, including:

[0042] Taking cooling water flow and air flow as decision variables, the initial control strategy is randomly generated;

[0043] Perform one-dimensional and three-dimensional co-simulation of cooling system based on the first-generation control strategy;

[0044] The one-dimensional and three-dimensional joint simulation includes: performing one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change amount of the radiator cooling water inlet temperature, determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation;

[0045] The maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by three-dimensional simulation are taken as the optimization targets, and the control strategy is updated until the iteration conditions are met to obtain the optimal control strategy.

[0046] In this embodiment, the method of this embodiment is described in detail by taking the joint simulation of MATLAB / Simulink and Fluent based on the MATLAB-ANSYS data interface as an example; however, it can be understood that the one-dimensional and three-dimensional joint simulation is not limited to MATLAB and Fluent.

[0047] Combine the following Figure 1 and Figure 2 The method of this embodiment is described in detail.

[0048] Step S1: Initialize the population of the genetic algorithm in MATLAB, using the cooling water flow rate q w With air flow q a As decision variables, randomly generate the initial cooling water flow rate q of x groups w0 and the first generation air flow q a0 The combination of w0 ,q a0 ] as the first generation control strategy.

[0049] It can be understood that the value of x can be set to 200, 300, 400, etc. without specific limitation.

[0050] Step S2: start the one-dimensional / three-dimensional software data exchange interface in MATLAB, set up a variable tout for recording simulation time in the one-dimensional simulation software Simulink, and set the simulation step size.

[0051] It can be understood that the simulation step size can be set to 1s, 1.5s, 2s, etc. without specific limitation.

[0052] Step S3: setting boundary conditions in the one-dimensional simulation model of the cooling system, including the initial inlet temperature of the radiator cooling water T rad0 and the initial inlet temperature of the engine cooling water T eng0 , the initial heat transfer coefficient of the engine cylinder liner and radiator pipe, and the effective power Q set according to the engine operating conditions eng , set the cooling water flow q using the first generation control strategy w With air flow q a ;

[0053] As an optional implementation, T rad0 , T eng0 Can be set to 293.15K, Q engIt can be set to 60kW; this step only requires creating corresponding variables in MATLAB and assigning them to Simulink through corresponding codes.

[0054] Step S4: Based on the set boundary conditions, start Simulink one-dimensional simulation in MATLAB to obtain the radiator cooling water inlet temperature T rad1 and the engine cooling water inlet temperature T eng1 .

[0055] Step S5: Determine T rad1 -T rad0 Is it greater than a set threshold (such as 5K in this embodiment); if so, stop the one-dimensional simulation and enter step S6, otherwise continue the one-dimensional simulation.

[0056] Step S6: retrieve the radiator cooling water inlet temperature T obtained after one-dimensional simulation through the software data exchange interface. rad1 and the engine cooling water inlet temperature T eng1 At this time point, T rad1 , T eng1 The radiator and engine cooling water inlet in the Fluent 3D model are assigned as initial boundary conditions respectively.

[0057] Secondly, the simulation time of the one-dimensional simulation is recorded in the variable tout, and the change interval Δt of the last one-dimensional simulation is determined by the variable tout. The time interval Δt changes with the change of the radiator cooling water inlet temperature obtained by simulation. The three-dimensional simulation step is determined according to the time interval Δt, that is, the data exchange step of the one-dimensional simulation and the three-dimensional simulation is automatically adjusted according to the change of the radiator cooling water inlet temperature; when Δt is less than the set time threshold Δt max When , the time interval Δt is used as the data exchange step, that is, Δt is used as the 3D simulation step for 3D simulation; otherwise, the set time threshold Δt is used. max Perform a 3D simulation for the 3D simulation step.

[0058] For example, Δt max It can be set to 20s, that is, when Δt reaches 20s, the step size of each data exchange will no longer change and will be fixed at 20s.

[0059] It should be noted that in the early stage of simulation, in the small cycle stage of the cooling system before the thermostat is opened, the water temperature change rate is high, and the judgment condition in step S5 is met in a short time, so Δt will be in a small range and will gradually become longer as the water temperature change rate decreases; in the large cycle stage when the thermostat is opened in the later stage, the water temperature change rate is low, and the time required to meet the conditions in step S5 gradually becomes longer, so Δt will be in a larger range, that is, the dynamic setting of the data exchange step is realized according to the change of the radiator cooling water inlet temperature.

[0060] Step S7: gradually determine the change of Δt in MATLAB to determine whether Δt is less than the set time threshold Δt max ; If yes, it means that the cooling water temperature changes more dramatically at this time, then Δt is used as the three-dimensional simulation step to perform transient three-dimensional simulation; if no, it means that the water temperature changes more slowly, then the small error caused by the cooling water temperature change can be ignored, and a steady-state three-dimensional simulation can be performed; finally, after the three-dimensional simulation, the engine cylinder liner heat transfer coefficient h is obtained eng Heat transfer coefficient with radiator pipe h rad .

[0061] Step S8: The heat transfer coefficient of the engine cylinder liner obtained by the three-dimensional simulation h eng Heat transfer coefficient with radiator pipe h rad , and again assign the one-dimensional simulation model as the boundary condition to continue the one-dimensional simulation.

[0062] Step S9: Determine whether the total duration of the one-dimensional simulation exceeds the total time threshold T tot If yes, terminate the joint simulation and retrieve the maximum temperature T of the cylinder head fire surface obtained in the three-dimensional simulation. h_max Average heat exchange with the outer wall of the cylinder liner Q avg , go to step S10; if not, return to step S4.

[0063] As an optional embodiment, T tot It can be set to 600s, 700s, etc. without specific limitation.

[0064] Step S10: The maximum temperature T of the cylinder head fire surface obtained by three-dimensional simulation h_max Average heat exchange with the outer wall of the cylinder liner Q avg As the target to be optimized, the maximum temperature of the cylinder head fire surface T h_max Average heat exchange with the outer wall of the cylinder liner Q avg The non-dominated sorting genetic algorithm is executed in MATLAB with the minimum as the goal. That is, after encoding, fast non-dominated sorting and crowding evaluation, suitable individuals are selected from the initial control strategy and their corresponding decision variable combinations are used as the new generation parent population.

[0065] Step S11, set the crossover rate and mutation rate, and select, crossover and mutate the new generation parent population through the genetic algorithm to obtain the new generation population [q w1 ,q a1 ], continue the one-dimensional and three-dimensional joint simulation until the number of iterations of the genetic algorithm reaches the set generation number n, and output the last generation T h_max With Q avg The corresponding [q wn ,q an ] as the optimal solution set, the optimal speed of the electronic water pump and the electronic fan under this working condition can be obtained.

[0066] As an optional embodiment, the crossover rate may be set to 0.9, the mutation rate may be set to 0.1, and n may be set to 300, but no specific limitation is made.

[0067] In this embodiment, the maximum temperature of the cylinder head firing surface is T h_max Used to evaluate the reliability of the cooling system, the average heat transfer value Q of the outer wall of the cylinder liner avg It is used to evaluate the energy consumption of the cooling system, that is, its impact on the effective efficiency of the engine, and to minimize both when considering the optimization target to reflect the working performance of the engine cooling system.

[0068] This embodiment embeds a one-dimensional and three-dimensional joint simulation method in the multi-objective optimization of the non-dominated sorting genetic algorithm of the cooling system, and establishes the joint simulation process between software that have interfaces with each other. By writing codes through open source software, a series of operations such as starting and stopping the simulation, setting boundary conditions, etc. can be integrated therein, without the need for additional files as carriers. Compared with the existing technology, it is more centralized and convenient.

[0069] Example 2

[0070] This embodiment provides a vehicle thermal management strategy optimization system based on one-dimensional and three-dimensional joint simulation, including:

[0071] The initialization module is configured to randomly generate an initial control strategy using cooling water flow and air flow as decision variables;

[0072] The joint simulation module is configured to perform a one-dimensional and three-dimensional joint simulation of the cooling system based on the primary control strategy; the one-dimensional and three-dimensional joint simulation includes: performing a one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change in the radiator cooling water inlet temperature, determining the current three-dimensional simulation step according to the current one-dimensional simulation step, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation;

[0073] The iterative optimization module is configured to use the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by three-dimensional simulation as the optimization targets, and update the control strategy until the iterative conditions are met to obtain the optimal control strategy.

[0074] It should be noted that the above modules correspond to the steps described in Example 1, and the examples and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above Example 1. It should be noted that the above modules, as part of the system, can be executed in a computer system such as a set of computer executable instructions.

[0075] In further embodiments, there is also provided:

[0076] An electronic device includes a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method described in Embodiment 1 is performed. For the sake of brevity, it will not be described in detail here.

[0077] It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0078] The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0079] A computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by a processor, the method described in Example 1 is completed.

[0080] The method in Example 1 can be directly embodied as a hardware processor, or a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it is not described in detail here.

[0081] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0082] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation, characterized in that: include: Taking cooling water flow and air flow as decision variables, the initial control strategy is randomly generated; Perform one-dimensional and three-dimensional co-simulation of cooling system based on the first-generation control strategy; The one-dimensional and three-dimensional joint simulation includes: performing one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change amount of the radiator cooling water inlet temperature, determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation; The maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by three-dimensional simulation are used as the optimization targets, and the control strategy is updated until the iteration conditions are met to obtain the optimal control strategy; The method for determining whether the current one-dimensional simulation is stopped is as follows: when the change in the radiator cooling water inlet temperature before and after the simulation is greater than a set threshold, the one-dimensional simulation is stopped and the current one-dimensional simulation step is determined; The process of determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length includes: if the current one-dimensional simulation step length is less than the set time threshold, the three-dimensional simulation is performed using the current one-dimensional simulation step length as the three-dimensional simulation step length; otherwise, the three-dimensional simulation step length is used as the set time threshold.

2. The vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation according to claim 1 is characterized in that: The process of three-dimensional simulation includes: if the current one-dimensional simulation step is less than the set time threshold, a transient three-dimensional simulation is performed, otherwise a steady-state three-dimensional simulation is performed.

3. The vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation according to claim 1 is characterized in that: The boundary conditions of the one-dimensional simulation include the radiator cooling water inlet temperature and the engine cooling water inlet temperature, the initial heat transfer coefficient of the engine cylinder liner and the radiator pipe, the effective power set according to the engine operating conditions, and the cooling water flow and air flow set according to the control strategy.

4. The vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation according to claim 1 is characterized in that: A non-dominated sorting genetic algorithm is executed with the goal of minimizing the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall, so as to select the corresponding decision variables and use them as the new generation of parent population. After the genetic algorithm selection, crossover and mutation of the new generation of parent population, a new generation of population is obtained, and one-dimensional and three-dimensional joint simulation is continued until the iteration conditions are met to obtain the optimal control strategy.

5. The vehicle thermal management strategy optimization method based on one-dimensional and three-dimensional joint simulation as claimed in claim 4 is characterized in that: The optimal control strategy is the optimal rotation speed of the electronic water pump and the electronic fan.

6. The vehicle thermal management strategy optimization system based on one-dimensional and three-dimensional joint simulation is characterized by: include: The initialization module is configured to randomly generate an initial control strategy using cooling water flow and air flow as decision variables; A co-simulation module, configured to perform a one-dimensional and three-dimensional co-simulation of the cooling system based on the primary control strategy; The one-dimensional and three-dimensional joint simulation includes: performing one-dimensional simulation based on the primary control strategy, using the radiator cooling water inlet temperature and the engine cooling water inlet temperature obtained by the one-dimensional simulation as boundary conditions of the three-dimensional simulation, and using the engine cylinder liner heat transfer coefficient and the radiator pipe heat transfer coefficient obtained by the three-dimensional simulation as boundary conditions of the one-dimensional simulation; and judging whether to stop the current one-dimensional simulation according to the change amount of the radiator cooling water inlet temperature, determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length, until the total duration of the one-dimensional simulation exceeds the total time threshold, then stopping the one-dimensional and three-dimensional joint simulation; The iterative optimization module is configured to use the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by the three-dimensional simulation as the optimization target, and update the control strategy until the iterative condition is met to obtain the optimal control strategy; The method for determining whether the current one-dimensional simulation is stopped is as follows: when the change in the radiator cooling water inlet temperature before and after the simulation is greater than a set threshold, the one-dimensional simulation is stopped and the current one-dimensional simulation step is determined; The process of determining the current three-dimensional simulation step length according to the current one-dimensional simulation step length includes: if the current one-dimensional simulation step length is less than the set time threshold, the three-dimensional simulation is performed using the current one-dimensional simulation step length as the three-dimensional simulation step length; otherwise, the three-dimensional simulation step length is used as the set time threshold.

7. An electronic device, characterized in that: The method comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein when the computer instructions are executed by the processor, the method according to any one of claims 1 to 5 is completed.

8. A computer-readable storage medium, characterized in that: Used to store computer instructions, which, when executed by a processor, complete the method described in any one of claims 1 to 5.

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