CN118052161A - Transmission temperature rise prediction method, system, storage medium and electronic equipment - Google Patents
Transmission temperature rise prediction method, system, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention provides a temperature rise prediction method and system for a transmission, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring simulation digital model and oil data of a transmission assembly to establish a fluid dynamic heat transfer model, and determining an external air natural convection heat transfer coefficient spectrum through a first preset method according to the oil data, the fluid dynamic heat transfer model and preset environmental parameters; determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital model; establishing a drag loss calculation model according to the simulation digital model, and determining a drag power loss spectrum according to oil data, a temperature-viscosity formula and a preset working condition through the drag loss calculation model; and determining a temperature rise calculation model of the transmission through a preset formula according to the natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity and the dragging power loss spectrum of the external air so as to predict the temperature change of the transmission. The invention solves the problems of long testing time and high cost of the temperature rise test of the speed changer in the prior art.
Description
Technical Field
The invention relates to the technical field of transmissions, in particular to a temperature rise prediction method and system for a transmission, a storage medium and electronic equipment.
Background
With the continuous enhancement of the dynamic performance of the transmission, the characteristics of compact structure and high integration make the temperature rise and the heat balance performance of the transmission extremely challenging. If the transmission loss energy cannot be timely dissipated, the transmission will bear high thermal load. Excessive oil temperature can not only cause system temperature to rise and affect lubrication effect and transmission performance of the transmission, but also reduce service life of the transmission. Therefore, sufficient verification of temperature rise and thermal balance performance of the transmission is required, so that stability of the performance of the transmission and service life of the transmission are ensured.
However, in the development of the conventional transmission, after the sample box is manufactured, a plurality of influencing factors such as a shell, oil quantity and the like of the temperature rise of the transmission are continuously adjusted through a plurality of temperature rise tests according to experience. In addition, the existing temperature rise test requires an entity gearbox to perform the test, and the rotational speed, torque and gear are adopted as test variables to perform the full-working-condition test, so that the test time is long and the test cost is high.
Disclosure of Invention
Based on the above, the invention aims to provide a speed changer temperature rise prediction method, a speed changer temperature rise prediction system, a storage medium and electronic equipment, which aim to solve the problems of long testing time and high cost of speed changer temperature rise test in the prior art.
According to the embodiment of the invention, the temperature rise prediction method of the transmission comprises the following steps:
Acquiring simulation digital-to-analog and oil data of a transmission assembly, establishing a fluid dynamic heat transfer model according to the simulation digital-to-analog of the transmission assembly, and performing steady state conjugate heat transfer calculation according to the oil data, the fluid dynamic heat transfer model and preset environmental parameters by a first preset method to obtain an outside air natural convection heat transfer coefficient spectrum with the temperature as an independent variable;
Determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital-analog of the transmission assembly;
Establishing a drag loss calculation model according to a simulation digital model of the transmission assembly, and determining a drag power loss spectrum according to the oil product data, a temperature-viscosity formula and a preset working condition, wherein the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotating speed, and torque is not applied to the transmission assembly;
And according to the outside air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly and the dragging power loss spectrum, coupling through a preset formula to determine a transmission temperature rise calculation model, so that the temperature change of the transmission is predicted through the transmission temperature rise calculation model.
In addition, the temperature rise prediction method for the transmission according to the embodiment of the invention may further have the following additional technical features:
further, the preset formula is:
Q in is heat generated by the transmission assembly, Q out is heat dissipation of the transmission assembly, c is equivalent specific heat capacity of the transmission assembly, m is mass of the transmission assembly, deltaT is transmission temperature variation, and DeltaT is transmission operation time variation.
Further, the environmental parameters at least include an environmental temperature and an air state, and the step of performing steady-state conjugate heat transfer calculation by a first preset method according to the oil data, the fluid dynamic heat transfer model and the preset environmental parameters to obtain an external air natural convection heat transfer coefficient spectrum with an independent temperature comprises the following steps:
Determining a limiting temperature according to the oil product data, wherein the limiting temperature is the highest temperature which can be born by the oil product;
Adjusting the fluid dynamic heat transfer model according to the preset environmental parameters, dividing the environmental temperature to the limit temperature by taking a preset temperature difference as an interval to obtain a plurality of groups of temperature values,
And sequentially assigning a plurality of groups of temperature values from small to large as the initial temperature of the transmission assembly, and performing steady state conjugate calculation through the fluid dynamic heat transfer model to obtain an external air natural convection heat transfer coefficient spectrum with the temperature as an independent variable.
Further, the step of determining the equivalent specific heat capacity of the transmission assembly according to the simulation digital-to-analog of the transmission assembly through a second preset method includes:
According to simulation digital-to-analog of the transmission assembly, determining mass and specific heat capacity of each component of the transmission assembly, and determining mass and specific heat capacity of oil products in the transmission assembly;
And summing the product of the mass and the specific heat capacity of each component of the transmission assembly and the product of the mass and the specific heat capacity of the oil product in the transmission assembly, and dividing the sum of the mass of the transmission assembly and the mass of the oil product in the transmission assembly to obtain the equivalent specific heat capacity of the transmission assembly.
Further, the temperature-viscosity formula is: loglog (v T +a) =b+clog (T);
v T is the kinematic viscosity of the oil, T is the temperature of the oil, and a, b and c are empirical constants determined by the type of oil.
Further, the step of determining the drag power loss spectrum according to the oil data, the temperature-viscosity formula and the preset working condition through the drag loss calculation model includes:
determining an empirical constant in the temperature-viscosity formula according to the oil data, and adjusting the drag loss calculation model through the preset working condition;
And sequentially assigning a plurality of groups of temperature values from small to large as the initial temperature of the transmission assembly, and calculating through the drag loss calculation model according to the temperature-viscosity formula to obtain a drag power loss spectrum with the temperature as an independent variable.
Further, the oil product data includes a limiting temperature of the oil product, and the step of predicting the temperature change of the transmission through the transmission temperature rise calculation model includes:
dividing a preset experiment time length according to a preset time interval to obtain a plurality of groups of time values;
Sequentially carrying the multiple groups of time values into the temperature rise calculation model of the speed changer from small to large to obtain a temperature rise process of the speed changer assembly, and judging whether the maximum temperature value in the temperature rise process is greater than the limit temperature of the oil product;
if not, the transmission assembly is reasonable in design.
Another object of the present invention is a transmission temperature rise prediction system comprising:
The heat dissipation determining module is used for acquiring simulation digital-to-analog and oil product data of the transmission assembly, establishing a fluid dynamic heat transfer model according to the simulation digital-to-analog of the transmission assembly, and performing steady state conjugate heat transfer calculation according to the oil product data, the fluid dynamic heat transfer model and preset environmental parameters by a first preset method to obtain an outside air natural convection heat exchange coefficient spectrum with the temperature as an independent variable;
the specific heat capacity determining module is used for determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital-analog of the transmission assembly;
The heat generation determining module is used for establishing a drag loss calculation model according to a simulation digital model of the transmission assembly, determining a drag power loss spectrum according to the oil product data, a temperature-viscosity formula and a preset working condition, wherein the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotating speed, and torque is not applied to the transmission assembly;
And the prediction module is used for coupling and determining a transmission temperature rise calculation model through a preset formula according to the outside air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly, the transmission and the dragging power loss spectrum so as to predict the temperature change of the transmission through the transmission temperature rise calculation model.
It is another object of an embodiment of the present invention to provide a storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above-described transmission temperature rise prediction method.
It is another object of an embodiment of the present invention to provide an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above-described transmission temperature rise prediction method when executing the program.
According to the invention, a hydrodynamic heat transfer model and a drag loss calculation model are established according to designed transmission assembly digital model, oil data and a temperature-viscosity formula, and on the premise that preset working conditions, namely working conditions with the highest heat generation of the transmission, are calculated to obtain an external air natural convection heat transfer coefficient spectrum and a drag power loss spectrum with the temperature as independent variables, namely heat dissipation data and heat generation data of the transmission along with temperature change, and simultaneously the equivalent specific heat capacity of the transmission assembly is determined. Furthermore, the invention solves the problems of long testing time and high cost of the temperature rise test of the speed changer in the prior art.
Drawings
FIG. 1 is a flow chart of a transmission temperature rise prediction method in a first embodiment of the present invention;
FIG. 2 is a schematic diagram of the result of a transmission temperature rise prediction system according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention;
The invention will be further described in the following detailed description in conjunction with the above-described figures.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a method for predicting temperature rise of a transmission according to a first embodiment of the present invention is shown, and the method specifically includes steps S01-S04.
S01, acquiring simulation digital-to-analog and oil product data of a transmission assembly, establishing a fluid dynamic heat transfer model according to the simulation digital-to-analog of the transmission assembly, and performing steady state conjugate heat transfer calculation according to the oil product data, the fluid dynamic heat transfer model and preset environmental parameters by a first preset method to obtain an outside air natural convection heat transfer coefficient spectrum with the temperature as an independent variable;
Specifically, determining a limiting temperature according to oil product data, wherein the limiting temperature is the highest temperature which can be born by the oil product; and adjusting a fluid dynamic heat transfer model according to preset environmental parameters, wherein the preset environmental parameters at least comprise an environmental temperature and an air state, dividing the environmental temperature to a limit temperature by taking a preset temperature difference as an interval to obtain a plurality of groups of temperature values, sequentially assigning the plurality of groups of temperature values from small to large to be the initial temperature of the transmission assembly, and performing steady state conjugate calculation through the fluid dynamic heat transfer model to obtain an external air natural convection heat transfer coefficient spectrum with the temperature as an independent variable. After the hydrodynamic heat transfer model is established, boundary conditions are required to be set to enable simulation of the hydrodynamic heat transfer model to be attached to actual working conditions of the transmission, therefore, the environment temperature is limited to be room temperature, air is compressible gas to serve as the boundary conditions of the model, then different temperature values are input to enable the model to perform simulation operation to obtain natural convection heat transfer coefficient spectrums of outside air with temperature being independent variables, and heat dissipation data of the transmission assembly at different temperatures are further determined.
S02, determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital-analog of the transmission assembly;
Specifically, according to simulation digital-to-analog of the transmission assembly, determining mass and specific heat capacity of each component of the transmission assembly, determining mass and specific heat capacity of oil products in the transmission assembly, summing the product of the mass and specific heat capacity of each component of the transmission assembly and the product of the mass and specific heat capacity of the oil products in the transmission assembly, and dividing the sum of the mass of the transmission assembly and the mass of the oil products in the transmission assembly to obtain the equivalent specific heat capacity of the transmission assembly. It should be noted that, the simulation operation is performed by separating each component of the transmission, though the simulation operation is more relevant to the actual condition, but the data volume is large, the operation time is long, the transmission assembly is regarded as a whole, the simulation is performed by the equivalent specific heat capacity, although the operation result is properly amplified, the temperature value is slightly amplified compared with the actual value, when the method is the simulation performed according to the data under the limit working condition of the transmission theory, the simulated temperature value is slightly amplified under the limit condition, the temperature conditions of the transmission under all the actual working conditions are also fully covered, the effectiveness of the test is ensured, the equivalent specific heat capacity is adopted, the data volume of the simulation operation can be greatly reduced, and the test efficiency is improved.
S03, establishing a drag loss calculation model according to a simulation digital model of the transmission assembly, and determining a drag power loss spectrum through the drag loss calculation model according to the oil data, a temperature-viscosity formula and a preset working condition, wherein the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotating speed, and torque is not applied to the transmission assembly;
Specifically, an empirical constant in the temperature-viscosity formula is determined according to the oil data, the drag loss calculation model is adjusted through the preset working condition, a plurality of groups of temperature values are sequentially assigned to be initial temperatures of the transmission assembly from small to large, and the drag power loss spectrum with the temperature as an independent variable is obtained through calculation according to the temperature-viscosity formula through the drag loss calculation model. The temperature-viscosity formula is: loglog (v T+a)＝b+clog(T),vT is the kinematic viscosity of the oil product, T is the temperature of the oil product, a, b and c are empirical constants determined by the type of the oil product, it is required to be explained that the drag loss calculation model is limited according to preset working conditions, then different temperature values and the kinematic viscosity of the oil product corresponding to the temperature values are input to enable the drag loss calculation model to carry out simulation operation to obtain a drag power loss spectrum, and then heat production data of the transmission assembly at different temperatures are determined.
S04, according to the outside air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly and the dragging power loss spectrum, coupling is conducted through a preset formula to determine a transmission temperature rise calculation model, and therefore temperature change of the transmission is predicted through the transmission temperature rise calculation model.
Specifically, the preset formula is as follows: Q in is the heat generated by the transmission assembly, namely the corresponding data in the dragging power loss spectrum, Q out is the heat dissipation of the transmission assembly, namely the corresponding data in the natural convection heat transfer coefficient spectrum of the external air, c is the equivalent specific heat capacity of the transmission assembly, m is the mass of the transmission assembly, deltaT is the temperature variation of the transmission, and DeltaT is the running time variation of the transmission. It should be noted that, according to a preset formula, the relationship between the heat generation, heat dissipation, specific heat capacity and the running time of the transmission is determined, and then the heat generation, heat dissipation and specific heat capacity data of the transmission assembly obtained in the above steps are coupled through the preset formula to obtain a transmission temperature rise calculation model, and then different running times of the transmission are input to obtain the temperature rise history of the transmission assembly, namely, the temperature of the transmission under different running times. In general, the continuous running time of the automobile does not exceed 12 hours, so that the upper limit of 12 hours can be brought into the transmission calculation model to obtain the time period, the temperature condition of the transmission assembly is compared with the limit temperature of the oil product, and if the temperature in the time period is smaller than the limit temperature, the transmission assembly is reasonably designed.
In summary, the temperature rise prediction method of the transmission in the above embodiment of the present invention establishes a hydrodynamic heat transfer model and a drag loss calculation model according to a designed transmission assembly digital model, oil data and a temperature-viscosity formula, and calculates to obtain an external air natural convection heat transfer coefficient spectrum and a drag power loss spectrum with an independent temperature as an independent variable on the premise of a preset working condition, namely, a working condition with the highest heat generation of the transmission, namely, heat dissipation data and heat generation data of the transmission along with temperature change, and determines an equivalent specific heat capacity of the transmission assembly, determines a relation among heat dissipation, heat generation, time and temperature of the transmission assembly according to the preset formula, and couples the data through the preset formula to obtain a transmission temperature rise calculation model, and obtains a temperature change condition of the transmission assembly through adjusting different times by the transmission temperature rise calculation model, thereby realizing prediction of the transmission temperature rise, so that a temperature rise test of the transmission can be completed without producing a transmission sample. Furthermore, the invention solves the problems of long testing time and high cost of the temperature rise test of the speed changer in the prior art.
Example two
Referring to fig. 2, a block diagram of a medical record text typesetting system according to a second embodiment of the present invention is shown, and the transmission temperature rise prediction system 200 includes: a heat dissipation determination module 21, a specific heat capacity determination module 22, a heat generation determination module 23, and a prediction module 24, wherein:
The heat dissipation determining module 21 is configured to obtain simulation digital-to-analog data of a transmission assembly and oil product data, establish a hydrodynamic heat transfer model according to the simulation digital-to-analog data of the transmission assembly, and perform steady state conjugate heat transfer calculation according to the oil product data, the hydrodynamic heat transfer model and preset environmental parameters by a first preset method to obtain an external air natural convection heat exchange coefficient spectrum with a temperature being an independent variable;
The specific heat capacity determining module 22 is configured to determine an equivalent specific heat capacity of the transmission assembly according to a simulation digital-to-analog of the transmission assembly through a second preset method;
The heat generation determining module 23 is configured to establish a drag loss calculation model according to a simulation digital-to-analog model of the transmission assembly, and determine a drag power loss spectrum according to the oil product data, a temperature-viscosity formula and a preset working condition, where the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotation speed, and the torque is not applied to the transmission assembly;
The prediction module 24 is configured to determine a transmission temperature rise calculation model by coupling according to the external air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly, the transmission and the dragging power loss spectrum through a preset formula, so as to predict a temperature change of the transmission through the transmission temperature rise calculation model;
the preset formula is as follows: Q in is heat generated by the transmission assembly, Q out is heat dissipation of the transmission assembly, c is equivalent specific heat capacity of the transmission assembly, m is mass of the transmission assembly, deltaT is transmission temperature variation, deltaT is transmission operation time variation;
The temperature-viscosity formula is: loglog (v T+a)＝b+clog(T),vT is the kinematic viscosity of the oil, T is the temperature of the oil, and a, b and c are empirical constants determined by the type of oil.
Further, in other embodiments of the present invention, the environmental parameters include at least an ambient temperature and an air state, and the heat dissipation determining module 21 includes:
The limiting temperature determining unit is used for determining limiting temperature according to the oil product data, wherein the highest temperature is the highest temperature which can be born by the oil product;
A temperature value obtaining unit, configured to adjust the fluid dynamic heat transfer model according to the preset environmental parameter, divide the environmental temperature to the limit temperature with a preset temperature difference as an interval, obtain a plurality of groups of temperature values,
And the heat dissipation determining unit is used for sequentially assigning a plurality of groups of temperature values from small to large to be the initial temperature of the transmission assembly, and performing steady state conjugate calculation through the fluid dynamic heat transfer model to obtain an external air natural convection heat transfer coefficient spectrum with the temperature as an independent variable.
Further, in other embodiments of the present invention, the specific heat capacity determination module 22 includes:
the data determining unit is used for determining the mass and specific heat capacity of each component of the transmission assembly according to the simulation digital-analog of the transmission assembly and determining the mass and specific heat capacity of oil products in the transmission assembly;
And the equivalent specific heat capacity determining unit is used for summing the product of the mass and the specific heat capacity of each component of the transmission assembly and the product of the mass and the specific heat capacity of the oil product in the transmission assembly, and dividing the sum of the mass of the transmission assembly and the mass of the oil product in the transmission assembly to obtain the equivalent specific heat capacity of the transmission assembly.
Further, in other embodiments of the present invention, the heat generation determining module 23 includes:
The model adjusting unit is used for determining an empirical constant in the temperature-viscosity formula according to the oil data and adjusting the drag loss calculation model through the preset working condition;
And the heat dissipation determining unit is used for sequentially assigning a plurality of groups of temperature values from small to large to be the initial temperature of the transmission assembly, and calculating through the drag loss calculation model according to the temperature-viscosity formula to obtain a drag power loss spectrum with the temperature as an independent variable.
Further, in other embodiments of the present invention, the oil data includes the limiting temperature of the oil, and the prediction module 24 includes:
The time value determining unit is used for dividing the preset experiment duration according to the preset time interval to obtain a plurality of groups of time values;
And the judging unit is used for sequentially bringing the multiple groups of time values into the speed changer temperature rise calculation model from small to large to obtain a temperature rise process of the speed changer assembly, judging whether the maximum temperature value in the temperature rise process is greater than the limit temperature of the oil product, and if not, indicating that the speed changer assembly is reasonable in design.
The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments, and are not described herein again.
Example III
In another aspect, referring to fig. 3, a schematic diagram of an electronic device according to a third embodiment of the present invention is provided, including a memory 20, a processor 10, and a computer program 30 stored in the memory and capable of running on the processor, where the processor 10 implements the transmission temperature rise prediction method as described above when executing the computer program 30.
The processor 10 may be, among other things, a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip in some embodiments for running program code or processing data stored in the memory 20, e.g. executing an access restriction program or the like.
The memory 20 includes at least one type of readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 20 may in some embodiments be an internal storage unit of the electronic device, such as a hard disk of the electronic device. The memory 20 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk provided on the electronic device, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), etc. Further, the memory 20 may also include both internal storage units and external storage devices of the electronic device. The memory 20 may be used not only for storing application software of an electronic device and various types of data, but also for temporarily storing data that has been output or is to be output.
It should be noted that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and in other embodiments the electronic device may comprise fewer or more components than shown, or may combine certain components, or may have a different arrangement of components.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the transmission temperature rise prediction method as described above.
Those of skill in the art will appreciate that the logic and/or steps represented in the flow diagrams or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. A method for predicting temperature rise of a transmission, the method comprising:
Acquiring simulation digital-to-analog and oil data of a transmission assembly, establishing a fluid dynamic heat transfer model according to the simulation digital-to-analog of the transmission assembly, and performing steady state conjugate heat transfer calculation according to the oil data, the fluid dynamic heat transfer model and preset environmental parameters by a first preset method to obtain an outside air natural convection heat transfer coefficient spectrum with the temperature as an independent variable;
Determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital-analog of the transmission assembly;
Establishing a drag loss calculation model according to a simulation digital model of the transmission assembly, and determining a drag power loss spectrum according to the oil product data, a temperature-viscosity formula and a preset working condition, wherein the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotating speed, and torque is not applied to the transmission assembly;
And according to the outside air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly and the dragging power loss spectrum, coupling through a preset formula to determine a transmission temperature rise calculation model, so that the temperature change of the transmission is predicted through the transmission temperature rise calculation model.
2. The transmission temperature rise prediction method according to claim 1, wherein the preset formula is:
Q in is heat generated by the transmission assembly, Q out is heat dissipation of the transmission assembly, c is equivalent specific heat capacity of the transmission assembly, m is mass of the transmission assembly, deltaT is transmission temperature variation, and DeltaT is transmission operation time variation.
3. The method for predicting temperature rise of a transmission according to claim 2, wherein the environmental parameters include at least an environmental temperature and an air state, and the step of performing steady-state conjugate heat transfer calculation by a first preset method according to the oil data, the fluid dynamic heat transfer model and a preset environmental parameter to obtain an external air natural convection heat transfer coefficient spectrum with a temperature as an independent variable includes:
Determining a limiting temperature according to the oil product data, wherein the limiting temperature is the highest temperature which can be born by the oil product;
Adjusting the fluid dynamic heat transfer model according to the preset environmental parameters, dividing the environmental temperature to the limit temperature by taking a preset temperature difference as an interval to obtain a plurality of groups of temperature values,
And sequentially assigning a plurality of groups of temperature values from small to large as the initial temperature of the transmission assembly, and performing steady state conjugate calculation through the fluid dynamic heat transfer model to obtain an external air natural convection heat transfer coefficient spectrum with the temperature as an independent variable.
4. The transmission temperature rise prediction method according to claim 1, wherein the step of determining the equivalent specific heat capacity of the transmission assembly by a second preset method from the simulated digital-to-analog of the transmission assembly comprises:
According to simulation digital-to-analog of the transmission assembly, determining mass and specific heat capacity of each component of the transmission assembly, and determining mass and specific heat capacity of oil products in the transmission assembly;
And summing the product of the mass and the specific heat capacity of each component of the transmission assembly and the product of the mass and the specific heat capacity of the oil product in the transmission assembly, and dividing the sum of the mass of the transmission assembly and the mass of the oil product in the transmission assembly to obtain the equivalent specific heat capacity of the transmission assembly.
5. The transmission temperature rise prediction method according to claim 1, wherein the temperature-viscosity formula is: loglog (v T +a) =b+clog (T);
v T is the kinematic viscosity of the oil, T is the temperature of the oil, and a, b and c are empirical constants determined by the type of oil.
6. The transmission temperature rise prediction method according to claim 3, wherein the step of determining a drag power loss spectrum by the drag loss calculation model according to the oil data, the temperature-viscosity formula, and the preset condition comprises:
determining an empirical constant in the temperature-viscosity formula according to the oil data, and adjusting the drag loss calculation model through the preset working condition;
And sequentially assigning a plurality of groups of temperature values from small to large as the initial temperature of the transmission assembly, and calculating through the drag loss calculation model according to the temperature-viscosity formula to obtain a drag power loss spectrum with the temperature as an independent variable.
7. The transmission temperature rise prediction method according to any one of claims 1 to 6, wherein the oil product data includes a limit temperature of the oil product, and the step of predicting a temperature change of the transmission by the transmission temperature rise calculation model includes:
dividing a preset experiment time length according to a preset time interval to obtain a plurality of groups of time values;
Sequentially carrying the multiple groups of time values into the temperature rise calculation model of the speed changer from small to large to obtain a temperature rise process of the speed changer assembly, and judging whether the maximum temperature value in the temperature rise process is greater than the limit temperature of the oil product;
if not, the transmission assembly is reasonable in design.
8. A transmission temperature rise prediction system for implementing the transmission temperature rise prediction method according to any one of claims 1 to 7, the system comprising:
The heat dissipation determining module is used for acquiring simulation digital-to-analog and oil product data of the transmission assembly, establishing a fluid dynamic heat transfer model according to the simulation digital-to-analog of the transmission assembly, and performing steady state conjugate heat transfer calculation according to the oil product data, the fluid dynamic heat transfer model and preset environmental parameters by a first preset method to obtain an outside air natural convection heat exchange coefficient spectrum with the temperature as an independent variable;
the specific heat capacity determining module is used for determining the equivalent specific heat capacity of the transmission assembly through a second preset method according to the simulation digital-analog of the transmission assembly;
The heat generation determining module is used for establishing a drag loss calculation model according to a simulation digital model of the transmission assembly, determining a drag power loss spectrum according to the oil product data, a temperature-viscosity formula and a preset working condition, wherein the preset working condition is a working condition of the transmission assembly under the highest gear and the highest rotating speed, and torque is not applied to the transmission assembly;
And the prediction module is used for coupling and determining a transmission temperature rise calculation model through a preset formula according to the outside air natural convection heat transfer coefficient spectrum, the equivalent specific heat capacity of the transmission assembly, the transmission and the dragging power loss spectrum so as to predict the temperature change of the transmission through the transmission temperature rise calculation model.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the transmission temperature rise prediction method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the transmission temperature rise prediction method of any one of claims 1-7 when the program is executed.
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