Thermal load performance optimization method and system for wet clutch of low-speed heavy-duty vehicle and storage medium

Abstract

The invention discloses a thermal load performance optimization method and system for a wet clutch of a low-speed heavy-duty vehicle and a storage medium, and relates to the field of automobile simulation, and the method comprises the steps: building a thermal load condition simulation calculation model of the wet clutch in a real working state, and analyzing a temperature field and a stress field of a friction plate; constructing an approximate model based on the simulation calculation model and a simulation result of the simulation calculation model; and according to the constructed approximation model and the optimization design variables, carrying out optimization design on the temperature field and the stress field of the friction plate to obtain wet clutch structure parameters with the lowest temperature rise and the lowest stress. The optimization design efficiency of the wet clutch is improved, the transmission performance of the wet clutch can be effectively improved, and the service life of the vehicle wet clutch can be effectively prolonged.

Description

Technical Field

[0001] The present invention relates to the field of automobile simulation technology, and more specifically to a method, system and storage medium for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle. Background Art

[0002] The wet clutch is an important component of many mechanical transmission systems, and its performance has a significant impact on the performance of the mechanical transmission.

[0003] However, under harsh working conditions, the friction heat generated by the wet clutch during the engagement process will increase dramatically, which will cause the wet clutch to be prone to failure problems such as ablation, hot spots and buckling deformation, which will in turn affect the normal operation of low-speed and heavy-loaded vehicles. It is necessary to redesign the structural parameters such as the oil groove width and oil groove inclination angle of the wet clutch to obtain lower temperature rise and stress under certain conditions. However, due to the long simulation calculation time of the friction pair, it requires a lot of manpower and time costs. Simply through a large amount of modeling and simulation work to obtain the optimal wet clutch oil groove width, oil groove inclination angle and other structural parameters requires a lot of manpower and time costs, which seriously affects the work efficiency of structural parameter optimization design.

[0004] Therefore, how to improve the optimization design efficiency of the wet clutch is an urgent problem to be solved by technicians in this field. Summary of the invention

[0005] In view of this, the present invention provides a method, system and storage medium for optimizing the thermal load performance of a wet clutch of a low-speed and heavy-load vehicle. The method simulates and calculates the thermal load performance of the wet clutch during the research and development stage of the wet clutch of a low-speed and heavy-load vehicle, and reduces the number of simulations in the optimization process by constructing an approximate model, so as to obtain the wet clutch oil tank structural parameters with lower temperature rise and stress level.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention discloses a method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle, and the specific steps are as follows:

[0008] S100, establishing a simulation calculation model for the thermal load of the wet clutch under real working conditions, and analyzing the temperature field and stress field of the friction plate;

[0009] S200, constructing an approximate model based on the simulation calculation model and the simulation result of the simulation calculation model;

[0010] S300, based on the constructed approximate model and optimized design variables, optimizes the temperature field and stress field of the friction plate to obtain the wet clutch structural parameters with the lowest temperature rise and minimum stress.

[0011] Furthermore, the S100 specifically includes the following steps:

[0012] S101, modeling the wet clutch to be optimized to obtain a three-dimensional model of the wet clutch;

[0013] S102, importing the three-dimensional model into finite element software for meshing;

[0014] S103, assigning material properties to the friction plate and the dual steel plate;

[0015] S104, setting the contact surface between the friction plate and the dual steel plate as a friction surface, and setting the friction coefficient; setting the convection heat transfer coefficient according to the actual working condition of the wet clutch to be optimized;

[0016] S105, according to the simulated working condition requirements, setting the fixed support of the friction plate and the dual steel plate, the engagement pressure applied by the piston, the rotation speed of the friction plate and the dual steel plate, and setting a predefined initial temperature;

[0017] S106, selecting the temperature-displacement coupling analysis step of the simulation, setting the total simulation time, time step and number of iterations of the simulation calculation, and performing simulation and solution of the thermal load characteristics of the wet clutch;

[0018] S107, outputting the temperature field and stress field of the wet clutch friction plate according to the simulation solution result.

[0019] Furthermore, the three-dimensional model includes an outer wheel hub, a piston, an inner wheel hub, a dual steel plate, and a friction plate;

[0020] The material properties include: density, coefficient of thermal expansion, thermal conductivity, specific heat, Young's modulus, and Poisson's ratio;

[0021] The contact surface between the friction plate and the dual steel plate, as well as the non-contact surface of the inner wheel hub and the outer wheel hub are all subjected to a convection heat transfer coefficient.

[0022] Furthermore, the step S200 specifically includes the following steps:

[0023] S201, selecting optimization design variables of the wet clutch to be optimized, and setting the value range of the optimization design variables; taking the temperature field and stress field of the wet clutch obtained by simulation calculation as optimization targets;

[0024] S202, adopting an experimental design method to select points for the optimization design variables within the value range as sample points for constructing an approximate model;

[0025] S203, performing joint simulation using structural optimization software and finite element simulation software according to the selected sample points to obtain the friction plate temperature field and stress field of each sample point;

[0026] S204, constructing an approximate model using the selected approximate model type to obtain a response surface model of the optimization design variables and the optimization target;

[0027] S205, using R 2 The analytical method performs error analysis on the approximate model and the simulation calculation model to obtain the credibility analysis result of the approximate model;

[0028] S206, when the credibility of the stress field and the temperature field of the friction plate in the credibility analysis result are both greater than or equal to the credibility threshold, it is considered that the approximate model can replace the simulation calculation model, and a constructed approximate model is obtained;

[0029] S207, when the credibility of the stress field and / or temperature field of the friction plate in the credibility analysis result is less than the credibility threshold, it is considered that the approximate model cannot replace the simulation calculation model, and the process proceeds to S208;

[0030] S208, setting sample points for recollecting data, or increasing the number of sample points, or changing the type of approximate model, and returning to S202.

[0031] Furthermore, the optimized design variables include oil groove width and oil groove inclination angle; the value range is 90% to 110% of the optimized design variables before optimization; and the credibility threshold is 0.9.

[0032] Furthermore, the S300 specifically includes the following steps:

[0033] S301: Importing the constructed approximate model into the structural optimization software;

[0034] S302: setting the optimization weights of the temperature field and stress field of the friction plate, and taking the minimum value of the weighted sum of the maximum temperature and the maximum stress of the friction plate of the wet clutch to be optimized as the optimization target;

[0035] S303: Setting the parameters of the optimization algorithm and iteratively optimizing the optimization design variables;

[0036] S304: According to the result of iterative optimization, the final structural parameters of the wet clutch of the low-speed heavy-load vehicle are determined, and the optimization process of the structural parameters of the wet clutch of the low-speed heavy-load vehicle is completed.

[0037] Furthermore, the optimization algorithm is a multi-objective genetic algorithm; the parameters of the optimization algorithm include: population size, maximum number of iterations, population crossover probability, and mutation probability.

[0038] Furthermore, the population size is 100, the maximum number of iterations is 10000, the population crossover probability is 1.0, and the mutation probability is 0.01.

[0039] The present invention also discloses a thermal load performance optimization system for a low-speed heavy-load vehicle wet clutch, comprising:

[0040] Simulation model module: establishes a simulation calculation model for the thermal load of the wet clutch under real working conditions, and analyzes the temperature field and stress field of the friction plate;

[0041] Approximate model module: construct an approximate model based on the simulation calculation model and the simulation result of the simulation calculation model;

[0042] Parameter optimization module: Based on the constructed approximate model and optimized design variables, the temperature field and stress field of the friction plate are optimized to obtain the wet clutch structural parameters with the lowest temperature rise and minimum stress.

[0043] The present invention also discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle are implemented.

[0044] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method, system and storage medium for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle, by simulating and calculating the thermal load performance of the wet clutch in the research and development stage of the wet clutch of a low-speed heavy-load vehicle; by building an approximate model to reduce the number of simulations in the optimization process; by iterative optimization through the optimization algorithm, the structural parameters such as the width of the wet clutch oil groove and the oil groove inclination angle with lower temperature rise and stress levels are obtained. The present invention improves the optimization design efficiency of the wet clutch, and can effectively improve the transmission performance of the wet clutch and the service life of the vehicle wet clutch. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0046] Figure 1 Schematic diagram of the overall steps of a method for optimizing structural parameters of a wet clutch thermal load model according to an embodiment of the present invention.

[0047] Figure 2It is a schematic diagram of the steps of simulating and calculating the thermal load condition of a wet clutch under actual working conditions according to an embodiment of the present invention.

[0048] Figure 3 A schematic diagram of the steps of constructing an approximate model according to an embodiment of the present invention.

[0049] Figure 4 Schematic diagram of the optimization calculation steps of the wet clutch according to an embodiment of the present invention.

[0050] Figure 5 It is a schematic structural diagram of a wet clutch according to an embodiment of the present invention.

[0051] In the figure, 1. outer wheel hub; 2. piston; 3. inner wheel hub; 4. dual steel plates; 5. friction plate. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0053] The embodiment of the present invention discloses a method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle. Figure 1 As shown, the specific steps are as follows:

[0054] S100, establishing a simulation calculation model for the thermal load of the wet clutch under a real working state, and analyzing the temperature field and stress field of the friction plate 5;

[0055] S200, constructing an approximate model based on the simulation calculation model and the simulation result of the simulation calculation model;

[0056] S300, optimizing the temperature field and stress field of the friction plate 5 according to the constructed approximate model and the optimized design variables, and obtaining the structural parameters of the wet clutch with the lowest temperature rise and the smallest stress.

[0057] In a specific embodiment, Figure 2 As shown, S100 specifically includes the following steps:

[0058] S101, modeling the wet clutch to be optimized to obtain a three-dimensional model of the wet clutch;

[0059] S102, importing the three-dimensional model into finite element software for meshing;

[0060] S103, assigning material properties to the friction plate 5 and the dual steel plate 4; specifically, dividing the mutual contact area into two or more layers of hexahedral meshes, and because the friction plate 5 is made of different materials, the parts of the friction plate 5 made of different materials are separated and divided into finite element meshes respectively;

[0061] S104, setting the contact surface between the friction plate 5 and the dual steel plate 4 as a friction surface, and setting the friction coefficient; setting the convection heat transfer coefficient according to the actual working condition of the wet clutch to be optimized;

[0062] S105, according to the requirements of the simulated working condition, setting the fixed support of the friction plate 5 and the dual steel plate 4, the engagement pressure applied by the piston 2, the rotation speed of the friction plate 5 and the dual steel plate 4, and setting a predefined initial temperature;

[0063] S106, selecting the temperature-displacement coupling analysis step of the simulation, setting the total simulation time, time step and number of iterations of the simulation calculation, and performing simulation and solution of the thermal load characteristics of the wet clutch;

[0064] S107, outputting the temperature field and stress field of the wet clutch friction plate 5 according to the simulation solution result.

[0065] In a specific embodiment, Figure 5 As shown, the three-dimensional model includes an outer wheel hub 1, a piston 2, an inner wheel hub 3, a dual steel plate 4, and a friction plate 5;

[0066] Material properties include: density, coefficient of thermal expansion, thermal conductivity, specific heat, Young's modulus, and Poisson's ratio;

[0067] The contact surface between the friction plate 5 and the dual steel plate 4, as well as the non-contact surface of the inner wheel hub 3 and the outer wheel hub 1 are all applied with a convection heat transfer coefficient.

[0068] In a specific embodiment, Figure 3 As shown, S200 specifically includes the following steps:

[0069] S201, selecting optimization design variables of the wet clutch to be optimized, and setting the value range of the optimization design variables; taking the temperature field and stress field of the wet clutch obtained by simulation calculation as optimization targets;

[0070] S202, using the experimental design (DOE) method, selecting points for the optimized design variables within the value range as sample points for building the approximate model;

[0071] S203, performing joint simulation using structural optimization software and finite element simulation software according to the selected sample points to obtain the temperature field and stress field of the friction plate 5 at each sample point;

[0072] S204, constructing an approximate model using the selected approximate model type to obtain a response surface model of the optimization design variables and the optimization target; specifically, the selected approximate model type is a Kriging model;

[0073] S205, using R 2 The analytical method is used to perform error analysis on the approximate model and the simulation calculation model to obtain the credibility analysis result of the approximate model; the R2 analysis method, a statistical method used to evaluate the prediction accuracy of the model, is used to perform error analysis on the approximate model and the simulation calculation model to obtain the credibility analysis result of the approximate model;

[0074] S206, when the credibility of the stress field and the temperature field of the friction plate 5 in the credibility analysis result are both greater than or equal to the credibility threshold, it is considered that the approximate model can replace the simulation calculation model, and the constructed approximate model is obtained;

[0075] S207, when the credibility of the stress field and / or temperature field of the friction plate 5 in the credibility analysis result is less than the credibility threshold, it is considered that the approximate model cannot replace the simulation calculation model, and the process proceeds to S208;

[0076] S208, setting sample points for recollecting data, or increasing the number of sample points, or changing the type of approximate model, and returning to S202.

[0077] In a specific embodiment, the optimized design variables include oil groove width and oil groove inclination angle; the value range is 90% to 110% of the optimized design variables before optimization; and the credibility threshold is 0.9.

[0078] In a specific embodiment, Figure 4 As shown, S300 specifically includes the following steps:

[0079] S301; importing the constructed approximate model into the structural optimization software;

[0080] S302: setting the optimization weights of the temperature field and the stress field of the friction plate 5, and taking the minimum value of the weighted sum of the maximum temperature and the maximum stress of the friction plate 5 of the wet clutch to be optimized as the optimization target;

[0081] S303: Setting the parameters of the optimization algorithm and iteratively optimizing the optimization design variables;

[0082] S304: According to the result of iterative optimization, the final structural parameters of the wet clutch of the low-speed heavy-load vehicle are determined, and the optimization process of the structural parameters of the wet clutch of the low-speed heavy-load vehicle is completed.

[0083] In a specific embodiment, the optimization algorithm is a multi-objective genetic algorithm; the parameters of the optimization algorithm include: population size, maximum number of iterations, population crossover probability, and mutation probability.

[0084] In a specific embodiment, the population size is 100, the maximum number of iterations is 10,000, the population crossover probability is 1.0, and the mutation probability is 0.01.

[0085] The embodiment of the present invention also discloses a thermal load performance optimization system for a wet clutch of a low-speed heavy-load vehicle, comprising:

[0086] Simulation model module: establishes a simulation calculation model for the thermal load of the wet clutch under real working conditions, and analyzes the temperature field and stress field of the friction plate 5;

[0087] Approximate model module: construct an approximate model based on the simulation calculation model and the simulation results of the simulation calculation model;

[0088] Parameter optimization module: Based on the constructed approximate model and optimized design variables, the temperature field and stress field of the friction plate 5 are optimized to obtain the wet clutch structural parameters with the lowest temperature rise and the smallest stress.

[0089] The embodiment of the present invention further discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle are implemented.

[0090] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0091] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle, characterized in that: The specific steps are as follows: S100, establishing a simulation calculation model for the thermal load of the wet clutch under real working conditions, and analyzing the temperature field and stress field of the friction plate; S200, constructing an approximate model based on the simulation calculation model and the simulation result of the simulation calculation model; S300, based on the constructed approximate model and optimized design variables, optimizes the temperature field and stress field of the friction plate to obtain the wet clutch structural parameters with the lowest temperature rise and minimum stress.

2. A method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 1, characterized in that: The S100 specifically includes the following steps: S101, modeling the wet clutch to be optimized to obtain a three-dimensional model of the wet clutch; S102, importing the three-dimensional model into finite element software for meshing; S103, assigning material properties to the friction plate and the dual steel plate; S104, setting the contact surface between the friction plate and the dual steel plate as a friction surface, and setting the friction coefficient; setting the convection heat transfer coefficient according to the actual working condition of the wet clutch to be optimized; S105, according to the simulated working condition requirements, setting the fixed support of the friction plate and the dual steel plate, the engagement pressure applied by the piston, the rotation speed of the friction plate and the dual steel plate, and setting a predefined initial temperature; S106, selecting the temperature-displacement coupling analysis step of the simulation, setting the total simulation time, time step and number of iterations of the simulation calculation, and performing simulation and solution of the thermal load characteristics of the wet clutch; S107, outputting the temperature field and stress field of the wet clutch friction plate according to the simulation solution result.

3. A method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 2, characterized in that: The three-dimensional model includes an outer wheel hub, a piston, an inner wheel hub, a dual steel plate, and a friction plate; The material properties include: density, coefficient of thermal expansion, thermal conductivity, specific heat, Young's modulus, and Poisson's ratio; The contact surface between the friction plate and the dual steel plate, as well as the non-contact surface of the inner wheel hub and the outer wheel hub are all subjected to a convection heat transfer coefficient.

4. The method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 1, characterized in that: The S200 specifically includes the following steps: S201, selecting optimization design variables of the wet clutch to be optimized, and setting the value range of the optimization design variables; taking the temperature field and stress field of the wet clutch obtained by simulation calculation as optimization targets; S202, adopting an experimental design method to select points for the optimization design variables within the value range as sample points for constructing an approximate model; S203, performing joint simulation using structural optimization software and finite element simulation software according to the selected sample points to obtain the friction plate temperature field and stress field of each sample point; S204, constructing an approximate model using the selected approximate model type to obtain a response surface model of the optimization design variables and the optimization target; S205, using R 2 The analytical method performs error analysis on the approximate model and the simulation calculation model to obtain the credibility analysis result of the approximate model; S206, when the credibility of the stress field and the temperature field of the friction plate in the credibility analysis result are both greater than or equal to the credibility threshold, it is considered that the approximate model can replace the simulation calculation model, and a constructed approximate model is obtained; S207, when the credibility of the stress field and / or temperature field of the friction plate in the credibility analysis result is less than the credibility threshold, it is considered that the approximate model cannot replace the simulation calculation model, and the process proceeds to S208; S208, setting sample points for recollecting data, or increasing the number of sample points, or changing the type of approximate model, and returning to S202.

5. A method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 4, characterized in that: The optimized design variables include oil groove width and oil groove inclination angle; the value range is 90% to 110% of the optimized design variables before optimization; and the credibility threshold is 0.

9.

6. The method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 1, characterized in that: The S300 specifically includes the following steps: S301: Importing the constructed approximate model into the structural optimization software; S302: setting the optimization weights of the temperature field and stress field of the friction plate, and taking the minimum value of the weighted sum of the maximum temperature and the maximum stress of the friction plate of the wet clutch to be optimized as the optimization target; S303: Setting the parameters of the optimization algorithm and iteratively optimizing the optimization design variables; S304: According to the result of iterative optimization, the final structural parameters of the wet clutch of the low-speed heavy-load vehicle are determined, and the optimization process of the structural parameters of the wet clutch of the low-speed heavy-load vehicle is completed.

7. A method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 6, characterized in that: The optimization algorithm is a multi-objective genetic algorithm; the parameters of the optimization algorithm include: population size, maximum number of iterations, population crossover probability, and mutation probability.

8. A method for optimizing thermal load performance of a wet clutch of a low-speed heavy-load vehicle according to claim 7, characterized in that: The population size is 100, the maximum number of iterations is 10000, the population crossover probability is 1.0, and the mutation probability is 0.

01.

9. A system for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle, using a method for optimizing the thermal load performance of a wet clutch of a low-speed heavy-load vehicle as claimed in any one of claims 1 to 8, characterized in that: include: Simulation model module: establishes a simulation calculation model for the thermal load of the wet clutch under real working conditions, and analyzes the temperature field and stress field of the friction plate; Approximate model module: construct an approximate model based on the simulation calculation model and the simulation result of the simulation calculation model; Parameter optimization module: Based on the constructed approximate model and optimized design variables, the temperature field and stress field of the friction plate are optimized to obtain the wet clutch structural parameters with the lowest temperature rise and minimum stress.

10. A computer storage medium, characterized in that: The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for optimizing thermal load performance of a wet clutch of a low-speed and heavy-load vehicle as described in any one of claims 1 to 8.

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