CN116341122B - Digital heat exchange model construction method, device and medium of electric drive system - Google Patents
Digital heat exchange model construction method, device and medium of electric drive system Download PDFInfo
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Abstract
The invention relates to the field of data processing, and discloses a digital heat exchange model construction method of an electric drive system, which comprises the following steps: determining control elements in a physical heat exchange model of an existing electric drive system and the variation range of each control element; designing sample data based on each control element and the variation range of each control element, and inputting the sample data into the physical heat exchange model for simulation to obtain a corresponding simulation result; constructing a relational expression between the simulation result and corresponding sample data by applying a response surface method, and determining the relational expression as a digital heat exchange model of the electric drive system; the digital heat exchange model is used for being embedded into a physical test system for heat exchange of the electric drive system so as to test the thermal management performance of virtual-real combination of the electric drive system. The method and the device realize the purposes of calculating the water outlet temperature of the electric drive system in real time, along with high calculation speed, good stability and high responsiveness.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a method, an apparatus, and a medium for constructing a digital heat exchange model of an electric driving system.
Background
In recent years, in order to meet the development requirements of electric automobiles, a large number of tests are required in the development process to predict the performance of the automobile and perform optimal design. However, in early stages of development, part of system components have no sample, and test verification cannot be performed.
The electric drive system is a core component of the new energy vehicle, the development flow is long, and the trial production of the sample is finished with node lag. Therefore, a method is needed to solve the problem that part of system components have no sample and cannot be subjected to test verification.
In view of this, the present invention has been made.
Disclosure of Invention
In order to solve the technical problems, the invention provides a digital heat exchange model construction method, a digital heat exchange model construction system and a digital heat exchange model construction medium for an electric drive system, and the aim of calculating the water outlet temperature of the electric drive system in real time is fulfilled. Compared with the existing physical heat exchange model, the digital heat exchange model has the advantages of higher calculation speed, better stability and higher responsiveness. In early development, when the parts of the electric drive system have no sample, the heat exchange model is embedded into a physical test system for heat exchange of the electric drive system, so that the thermal management performance test of virtual-real combination of the electric drive system is realized, and the problem that part of the parts of the system have no sample and cannot be subjected to test verification is solved. The embodiment of the invention provides a digital heat exchange model construction method of an electric drive system, which comprises the following steps:
determining control elements in a physical heat exchange model of an existing electric drive system and the variation range of each control element;
designing sample data based on each control element and the variation range of each control element, and inputting the sample data into the physical heat exchange model for simulation to obtain a corresponding simulation result;
constructing a relational expression between the simulation result and the corresponding sample data by applying a response surface method, wherein the fitting degree is required to be not lower than a set value; and determining the relation as a digital heat exchange model of the electric drive system, wherein the digital heat exchange model replaces the electric drive system to be embedded into a physical test system for heat exchange of the electric drive system so as to test the virtual-real combined heat management performance of the electric drive system.
The embodiment of the invention provides electronic equipment, which comprises:
a processor and a memory;
the processor is configured to execute the steps of the digital heat exchange model construction method of the electric drive system according to any embodiment by calling the program or the instructions stored in the memory.
An embodiment of the present invention provides a computer-readable storage medium storing a program or instructions that cause a computer to execute the steps of the digital heat exchange model construction method of the electric drive system according to any of the embodiments.
According to the digital heat exchange model construction method of the electric drive system, input data are given firstly, corresponding output data are obtained through an existing physical heat exchange model, a relational expression between the input data and the corresponding output data is constructed through a response surface method, and the relational expression is used as a new model to replace the electric drive system to be embedded into a physical test system of heat exchange of the electric drive system, so that virtual-real combined thermal management performance test is conducted on the electric drive system. The method and the device realize the purposes of real-time calculation of the water outlet temperature of the electric drive system, high calculation speed, good stability and high responsiveness, and realize the thermal management performance test of virtual-real combination of the electric drive system by embedding the heat exchange model into a physical test system for heat exchange of the electric drive system when the electric drive system has no sample at early stage of research and development, thereby solving the problem that part of system components have no sample and cannot be subjected to test verification.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for constructing a digital heat exchange model of an electric drive system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the invention, are within the scope of the invention.
Fig. 1 is a schematic flow chart of a method for constructing a digital heat exchange model of an electric drive system according to an embodiment of the present invention, where the method includes the following steps:
s110, determining control elements in a physical heat exchange model of an existing electric drive system and changing range objects of the control elements.
Illustratively, the control elements include an operating speed of the electric drive system, an operating torque of the electric drive system, an ambient temperature, an air flow rate, a water inlet temperature of the electric drive system, and a water inlet flow rate of the electric drive system; the corresponding simulation result comprises the water outlet temperature of the electric drive system.
The physical heat exchange model comprises an electric drive system heat generation amount calculation module, a cooling liquid heat exchange amount calculation module and an air heat exchange amount calculation module, and is used for calculating the heat exchange amount between the electric drive system and the thermal management system, wherein the input of the heat exchange amount is the working rotation speed of the electric drive system, the working torque of the electric drive system, the environment temperature, the air flow rate, the water inlet temperature of the electric drive system and the water inlet flow of the electric drive system, and the output of the heat exchange amount is the water outlet temperature of the electric drive system.
In order to ensure the simulation precision of the physical heat exchange model, a simulation test is required to be carried out on the physical heat exchange model, for example, a plurality of typical working conditions are selected, a simulation test and a physical test are carried out, then a simulation test result and a physical test result are compared, if the error between the simulation test result and the physical test result is smaller than a set value, the simulation precision of the physical heat exchange model is considered to meet the requirement, otherwise, the physical heat exchange model is improved until the simulation precision requirement is met. The physical heat exchange model meeting the simulation precision requirement is applied to the technical scheme of the embodiment of the invention, and the purpose is to ensure the simulation precision of the obtained digital heat exchange model.
In summary, a simulation test and a physical test are respectively carried out under a plurality of different working conditions, a simulation test result obtained through calculation of the physical heat exchange model is compared with a physical test result to determine a simulation error, if the simulation error is smaller than a set value, the physical heat exchange model is determined to meet the precision requirement, the operation of inputting the sample data into the physical heat exchange model for simulation is continuously carried out, and otherwise, the physical heat exchange model is improved until the simulation error meets the precision requirement.
The comparison result shows that the physical heat exchange model is high in precision, the error is approximately distributed within +/-2%, the error of only the individual working condition point is 4.08%, the thermal model building requirement is met, and the next building can be performed.
TABLE 1 comparison Table of typical Condition simulation and actual measurement results
| Measuring point number | Working rotation speed (r/min) | Working torque (N.m) | Coolant inlet temperature/°c | Flow rate of cooling liquid/L/min | Measured temperature/DEG C of coolant outlet | Simulated temperature/°c of coolant outlet | Error% |
| 1 | 1000 | 135 | 64.6 | 9.8 | 67.7 | 67.64 | 0.09 |
| 2 | 2000 | 135 | 64.6 | 9.8 | 68.6 | 67.64 | 1.40 |
| 3 | 3000 | 135 | 64.6 | 9.8 | 69.3 | 68.70 | 0.86 |
| 4 | 4000 | 135 | 64.6 | 9.8 | 70.1 | 69.65 | 0.64 |
| 5 | 5000 | 135 | 64.7 | 9.9 | 70.3 | 70.61 | -0.44 |
| 6 | 6000 | 119 | 64.6 | 9.8 | 70.5 | 71.53 | -1.46 |
| 7 | 7000 | 102 | 64.6 | 9.8 | 70.1 | 71.32 | -1.74 |
| 8 | 8000 | 89 | 64.7 | 9.8 | 70 | 70.44 | -0.63 |
| 9 | 9000 | 79 | 64.8 | 9.8 | 70.2 | 70.35 | -0.21 |
| 10 | 10000 | 71 | 64.7 | 9.7 | 70.2 | 70.44 | -0.34 |
| 11 | 11000 | 65 | 64.7 | 9.8 | 70.5 | 70.42 | 0.11 |
| 12 | 12000 | 59 | 64.8 | 9.8 | 71 | 71.04 | -0.06 |
| 13 | 13000 | 50 | 64.7 | 9.8 | 71.3 | 71.58 | -0.40 |
| 14 | 14000 | 40.2 | 64.7 | 9.7 | 71.4 | 71.79 | -0.54 |
| 15 | 15000 | 45.8 | 65 | 9.7 | 72 | 71.75 | 0.34 |
| 16 | 16000 | 51.3 | 64.8 | 9.8 | 72.1 | 73.89 | -2.48 |
| 17 | 17000 | 56.2 | 64.8 | 9.8 | 72.4 | 75.36 | -4.08 |
S120, designing sample data based on each control element and the variation range of each control element, and inputting the sample data into the physical heat exchange model for simulation to obtain a corresponding simulation result.
Exemplary ranges of variation for each control element are shown in table 2.
Table 2 change range table of each control element
| Working rotation speed (r/min) | Working torque (N.m) | Ambient temperature (. Degree. C.) | Ambient air flow Rate (m/s) | Temperature of water inlet (DEG C) | Inflow (L/min) |
| 17~17000 | 34~350 | -20~85 | 0~2 | 40~60 | 10~12 |
Optionally, a Latin hypercube sampling method is applied to determine multiple groups of values of each control element according to the variation range of each control element, so as to obtain sample data.
The number of sample data is 1000, as shown in table 3, for example.
TABLE 3 sample data and corresponding simulation results
| Sequence number | Working rotation speed (r/min) | Working torque (N.m) | Ambient temperature (. Degree. C.) | Temperature of water inlet (DEG C) | Ambient air flow Rate (m/s) | Inflow (L/min) | Temperature of effluent (. Degree. C.) |
| 1 | 0.0 | 280.1 | 38.7 | 55.1 | 0.77 | 11.91 | 54.68 |
| 2 | 17.0 | 154.2 | 52.0 | 45.5 | 0.29 | 10.53 | 45.26 |
| 3 | 34.0 | 331.7 | 56.5 | 42.1 | 0.74 | 11.97 | 42.81 |
| 4 | 51.1 | 309.5 | 54.2 | 45.5 | 1.61 | 10.29 | 46.72 |
| 5 | 68.1 | 327.5 | 26.1 | 45.3 | 1.29 | 10.50 | 47.30 |
| 6 | 85.1 | 292.8 | 81.7 | 49.2 | 1.70 | 11.28 | 51.19 |
| 7 | 102.1 | 198.2 | 31.6 | 48.6 | 1.81 | 10.72 | 49.87 |
| 8 | 119.1 | 291.5 | 3.0 | 58.7 | 0.27 | 11.75 | 61.45 |
| 9 | 136.1 | 274.7 | 42.3 | 57.7 | 1.51 | 10.51 | 60.91 |
| 10 | 153.2 | 137.8 | 16.0 | 46.1 | 0.93 | 10.11 | 47.31 |
| 11 | 170.2 | 292.1 | 12.2 | 47.1 | 1.02 | 10.17 | 51.86 |
| 12 | 187.2 | 156.7 | 79.9 | 47.1 | 1.24 | 10.01 | 49.08 |
| 13 | 204.2 | 325.3 | 22.6 | 58.6 | 0.97 | 10.48 | 65.00 |
| 14 | 221.2 | 128.3 | 67.2 | 42.1 | 1.39 | 10.23 | 43.75 |
| 15 | 238.2 | 231.4 | 57.9 | 43.7 | 0.36 | 11.67 | 47.68 |
| 16 | 255.3 | 177.9 | 43.3 | 50.5 | 1.24 | 11.91 | 53.33 |
| 17 | 272.3 | 229.2 | 68.4 | 54.6 | 1.45 | 10.36 | 59.61 |
| 18 | 289.3 | 189.0 | 39.2 | 58.4 | 1.52 | 11.54 | 61.91 |
| 19 | 306.3 | 96.0 | 1.9 | 49.4 | 1.63 | 11.52 | 50.73 |
| 20 | 323.3 | 34.3 | 77.8 | 42.8 | 0.49 | 11.13 | 42.96 |
| 21 | 340.3 | 143.1 | 81.9 | 54.0 | 0.50 | 10.17 | 57.11 |
| 22 | 357.4 | 207.7 | 53.9 | 51.7 | 0.15 | 10.92 | 57.00 |
| 23 | 374.4 | 131.1 | 54.0 | 40.4 | 0.53 | 10.47 | 43.34 |
| 24 | 391.4 | 199.4 | 21.6 | 53.0 | 0.99 | 10.04 | 58.83 |
| 25 | 408.4 | 257.0 | 41.9 | 57.1 | 1.26 | 10.07 | 65.83 |
| 26 | 425.4 | 342.1 | 42.4 | 52.7 | 1.20 | 10.67 | 66.04 |
| 27 | 442.4 | 304.1 | 78.7 | 56.6 | 0.79 | 11.00 | 67.68 |
| 28 | 459.5 | 125.4 | 56.4 | 52.6 | 0.72 | 11.35 | 55.60 |
| 29 | 476.5 | 67.2 | 37.6 | 45.4 | 0.15 | 11.26 | 46.63 |
| 30 | 493.5 | 300.3 | 61.6 | 43.5 | 1.33 | 10.05 | 56.65 |
| 31 | 510.5 | 249.4 | 24.3 | 51.5 | 0.58 | 11.59 | 60.20 |
| 32 | 527.5 | 39.7 | 60.3 | 50.8 | 1.44 | 11.50 | 51.37 |
| 33 | 544.5 | 106.1 | -7.2 | 57.8 | 1.24 | 10.72 | 60.64 |
| 34 | 561.6 | 302.9 | 18.9 | 46.4 | 1.24 | 11.41 | 59.24 |
| 35 | 578.6 | 235.5 | 15.0 | 40.6 | 0.48 | 11.09 | 49.84 |
| 36 | 595.6 | 335.8 | -0.2 | 49.9 | 0.09 | 10.90 | 66.25 |
| 37 | 612.6 | 202.9 | -16.9 | 55.9 | 1.51 | 11.58 | 63.16 |
| .... | .... | .... | .... | .... | .... | .... | .... |
| 1000 | 17000 | 241.19 | -15.48 | 47.45 | 0.1862 | 11.34 | 123.50 |
S130, constructing a relation between the simulation result and corresponding sample data by applying a response surface method, wherein the fitting degree is required to be not lower than a set value; determining the relation as a digital heat exchange model of the electric drive system; the digital heat exchange model is embedded into a physical test system for heat exchange of the electric drive system instead of the electric drive system so as to test the virtual-real combined heat management performance of the electric drive system.
Specifically, a response surface method is applied to construct a relation between the outlet water temperature of the electric drive system and corresponding sample data (which is essentially a set of specific values of six control elements (working rotation speed, working torque, ambient temperature, air flow rate, inlet water temperature and inlet water flow rate)). Determining the relation as a digital heat exchange model of the electric drive system; the digital heat exchange model replaces the electric drive system to be embedded into a physical test system for heat exchange of the electric drive system.
The flow rate of a cooling liquid loop for radiating heat of the electric drive system is usually 8L/min-12L/min, and the time for circulating cooling liquid in the loop is usually 0.15 s-3 s. Therefore, the digital heat exchange model of the electric drive system is required to receive the water temperature and flow data actually measured by the sensor in the pipeline, and the water outlet temperature of the electric drive system is calculated in real time. In order to solve the problem, the technical scheme of the invention is specifically provided, and the heat exchange model provided by the invention is a relational expression between data obtained through fitting between the data, so that the heat exchange model has the characteristics of simple calculation process, high calculation speed and good stability, and can meet the requirement of carrying out virtual-real combined thermal management performance test on an electric drive system.
Currently, two general methods for calculating the water outlet temperature of an electric drive system are adopted, namely three-dimensional or one-dimensional simulation calculation. The three-dimensional simulation is carried out by constructing an electric drive system and a water loop grid model and carrying out technology by a limited volume method, so that detailed temperature field and flow field distribution information can be obtained. However, the calculation period is strongly related to the number of grids, and the calculation time is calculated in time, which is far longer than the time of one week of cooling liquid circulation when the electric drive system is subjected to virtual-real combined heat management performance test. The physical heat exchange model simplifies the structure of the components, ignores the influence of the geometric structure on the system, and only considers the energy transfer between the components. Compared with three-dimensional simulation, the method has the advantages of higher calculation efficiency and shorter calculation time. However, under normal conditions, the time for calculating a single scheme is 5 s-10 s, which is still longer than the period of one week of cooling liquid circulation, and the real-time requirement of the thermal management performance test for carrying out virtual-real combination on the electric drive system cannot be met.
According to the digital heat exchange model construction method of the electric drive system, input data are given firstly, corresponding output data are obtained through an existing physical heat exchange model, a relational expression between the input data and the corresponding output data is constructed through a response surface method, and the relational expression is used as a new model to replace the electric drive system to be embedded into a physical test system of heat exchange of the electric drive system, so that virtual-real combined thermal management performance test is conducted on the electric drive system. The method and the device realize the purposes of real-time calculation of the water outlet temperature of the electric drive system, high calculation speed, good stability and high responsiveness, and realize the thermal management performance test of virtual-real combination of the electric drive system by embedding the heat exchange model into a physical test system for heat exchange of the electric drive system when the electric drive system has no sample at early stage of research and development, and solve the problem that part of system components have no sample and cannot be subjected to test verification.
The electric drive system is a core component of the new energy vehicle, the development flow is long, and the trial production of the sample is finished with node lag. Therefore, the digital heat exchange model is built to replace an electric drive system to be embedded into a test system, the digital heat exchange model receives water temperature and flow data measured by a sensor in real time in the test process, rapidly outputs a calculation result, inputs the calculation result into an equivalent simulation source, embeds the equivalent simulation source into a hardware loop of a tested system, is connected with a waterway, completes heat exchange with cooling liquid, and realizes the virtual-real combined thermal management performance test of the integrated system.
In summary, before the digital heat exchange model is embedded into a physical test system for heat exchange of an electric drive system to perform virtual-real combined thermal management performance test on the electric drive system, the working rotation speed of the electric drive system, the working torque of the electric drive system, the ambient temperature and the air flow rate are input into the digital heat exchange model, the water inlet temperature of the electric drive system and the water inlet flow of the electric drive system, which are measured in real time by a sensor, are input into the digital heat exchange model in the test process, the water outlet temperature of the electric drive system output by the digital heat exchange model is obtained, and an equivalent analog source is controlled to perform simulation of the same heat exchange amount based on the water outlet temperature of the electric drive system, and is embedded into a hardware loop of the physical test system and connected with a waterway so as to realize simulation of heat exchange between the electric drive system and cooling liquid.
Illustratively, the physical test system for heat exchange of the electric drive system includes: the system comprises a multi-system integrated test platform, an electric drive system demand calculation model, a battery simulator, a sensor, a controller and an equivalent simulation source;
the multi-system integrated test platform is used for providing an operating environment under a target working condition for the tested system; for example, the multi-system integrated test platform receives the 38 ℃ temperature environment, the 50% relative humidity and the CLTC-P working condition instruction set by a user, and provides corresponding temperature, humidity and flow field conditions for the tested part by controlling the temperature and humidity system and the air supply system.
The electric drive system demand calculation model is in communication connection with the battery simulator, the battery simulator is connected with the power battery of the tested system, and the electric drive system demand calculation model is used for calculating a current value required by the electric drive system under a target working condition, so that the battery simulator simulates a work load brought by the electric drive system to the power battery of the tested system based on the current value.
The sensor is used for detecting the water inflow and the water inflow temperature of the water loop of the tested system, which correspond to the inlet end of the electric drive system, and inputting the detected water inflow and water inflow temperature into the digital heat exchange model to obtain the water outflow temperature of the electric drive system output by the digital heat exchange model.
The controller is in communication connection with the equivalent simulation source and is used for controlling the equivalent simulation source to simulate the same heat exchange amount based on the water outlet temperature of the electric drive system. The equivalent analog source comprises an equivalent analog plate heat exchanger. The controller calculates the heat exchange amount according to the received water outlet temperature of the electric drive system, takes the heat exchange amount as a control target, and achieves the purpose that the heat exchange amount between the equivalent simulated plate heat exchanger and the heat management system is the same as the heat exchange amount between the electric drive system and the heat management system by controlling the compressor, the water pump and various valve bodies in the equivalent simulated source to execute actions. And cooling liquid in a physical pipeline in the tested system enters an equivalent simulated plate heat exchanger for heat exchange, the cooling liquid takes away corresponding heat exchange quantity, and water discharged by the cooling liquid enters a real water loop of the tested system again to participate in integral circulation. The equivalent simulated plate heat exchanger simulates the heat exchange quantity between the heat management system and the electric drive system under different operation working condition points, and the battery simulator simulates the work load of the electric drive system, so that the system operation is consistent with the state of the non-electric drive system when the electric drive system is in a vacancy condition, the multi-system integrated virtual-real combination test can be completed, and the problem that part of system components have no sample and test verification cannot be carried out is solved.
Fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 2, electronic device 400 includes one or more processors 401 and memory 402.
The processor 401 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities and may control other components in the electronic device 400 to perform desired functions.
Memory 402 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 401 to implement the digital heat exchange model building method and/or other desired functions of the electric drive system of any of the embodiments of the present invention described above. Various content such as initial arguments, thresholds, etc. may also be stored in the computer readable storage medium.
In one example, the electronic device 400 may further include: an input device 403 and an output device 404, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown). The input device 403 may include, for example, a keyboard, a mouse, and the like. The output device 404 may output various information to the outside, including early warning prompt information, braking force, etc. The output device 404 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
Of course, only some of the components of the electronic device 400 that are relevant to the present invention are shown in fig. 2 for simplicity, components such as buses, input/output interfaces, etc. are omitted. In addition, electronic device 400 may include any other suitable components depending on the particular application.
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps of the digital heat exchange model building method of an electric drive system provided by any of the embodiments of the invention.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, on which computer program instructions are stored, which, when being executed by a processor, cause the processor to perform the steps of the digital heat exchange model building method of an electric drive system provided by any embodiment of the present invention.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present application. As used in this specification, the terms "a," "an," "the," and/or "the" are not intended to be limiting, but rather are to be construed as covering the singular and the plural, unless the context clearly dictates otherwise. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements.
It should also be noted that the positional or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the positional or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or element in question must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
Claims (6)
1. A method for constructing a digital heat exchange model of an electric drive system, the method comprising:
determining control elements in a physical heat exchange model of an existing electric drive system and the variation range of each control element;
designing sample data based on each control element and the variation range of each control element, and inputting the sample data into the physical heat exchange model for simulation to obtain a corresponding simulation result;
constructing a relational expression between the simulation result and the corresponding sample data by applying a response surface method, wherein the fitting degree is required to be not lower than a set value; determining the relation as a digital heat exchange model of the electric drive system, wherein the digital heat exchange model replaces the electric drive system to be embedded into a physical test system for heat exchange of the electric drive system so as to perform virtual-real combined thermal management performance test on the electric drive system; the control elements comprise the working rotating speed of the electric drive system, the working torque of the electric drive system, the ambient temperature, the air flow rate, the water inlet temperature of the electric drive system and the water inlet flow of the electric drive system; the corresponding simulation result comprises the water outlet temperature of the electric drive system;
before embedding the digital heat exchange model into a physical test system for heat exchange of the electric drive system to perform virtual-real combined thermal management performance test on the electric drive system, inputting the working rotation speed of the electric drive system, the working torque of the electric drive system, the ambient temperature and the air flow rate into the digital heat exchange model, inputting the water inlet temperature of the electric drive system and the water inlet flow of the electric drive system, which are measured in real time by a sensor, into the digital heat exchange model in the test process to obtain the water outlet temperature of the electric drive system output by the digital heat exchange model, and controlling an equivalent analog source to perform simulation of the same heat exchange amount based on the water outlet temperature of the electric drive system, wherein the equivalent analog source is embedded into a hardware loop of the physical test system and is connected with a waterway so as to realize simulation of heat exchange between the electric drive system and cooling liquid.
2. The method of claim 1, wherein the physical test system for heat exchange of the electric drive system comprises: the system comprises a multi-system integrated test platform, an electric drive system demand calculation model, a battery simulator, a sensor, a controller and an equivalent simulation source;
the multi-system integrated test platform is used for providing an operating environment under a target working condition for a tested system;
the electric drive system demand calculation model is in communication connection with the battery simulator, the battery simulator is connected with a power battery of the tested system, and the electric drive system demand calculation model is used for calculating a current value required by the electric drive system under a target working condition so that the battery simulator simulates a work load brought by the electric drive system to the power battery of the tested system based on the current value;
the sensor is used for detecting the water inflow and the water inflow temperature of the water loop of the tested system, which correspond to the inlet end of the electric driving system, and inputting the detected water inflow and water inflow temperature of the electric driving system into the digital heat exchange model to obtain the water outflow temperature of the electric driving system output by the digital heat exchange model;
the controller is in communication connection with the equivalent simulation source and is used for controlling the equivalent simulation source to simulate the same heat exchange amount based on the water outlet temperature of the electric drive system.
3. The method of claim 1, wherein the physical heat exchange model comprises an electric drive system heat generation amount calculation module, a cooling liquid heat exchange amount calculation module, and an air heat exchange amount calculation module.
4. The method of constructing as defined in claim 1, further comprising:
and respectively carrying out a simulation test and a physical test under a plurality of different working conditions, comparing a simulation test result obtained by calculating the physical heat exchange model with the physical test result to determine a simulation error, if the simulation error is smaller than a set value, determining that the physical heat exchange model meets the precision requirement, and continuously executing the operation of inputting the sample data into the physical heat exchange model for simulation, otherwise, improving the physical heat exchange model until the simulation error meets the precision requirement.
5. An electronic device, the electronic device comprising:
a processor and a memory;
the processor is configured to execute the steps of the digital heat exchange model construction method of the electric drive system according to any one of claims 1 to 4 by calling a program or instructions stored in the memory.
6. A computer-readable storage medium storing a program or instructions that cause a computer to execute the steps of the digital heat exchange model construction method of an electric drive system according to any one of claims 1 to 4.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3809306A1 (en) * | 2019-10-16 | 2021-04-21 | Dassault Systemes Simulia Corp. | Method and apparatus for automatic underhood thermal modeling |
| CN113465236A (en) * | 2021-05-11 | 2021-10-01 | 中国航空工业集团公司沈阳飞机设计研究所 | Simplified modeling method for environment-controlled thermal management system |
| CN114254540A (en) * | 2021-12-21 | 2022-03-29 | 内蒙古工业大学 | Simulation method and simulation system of permanent magnet synchronous generator based on digital goldenrain tree generator |
| CN114626252A (en) * | 2022-05-17 | 2022-06-14 | 长城汽车股份有限公司 | Wind resistance and thermal management multi-objective optimization method and device, electronic equipment and medium |
| CN115455773A (en) * | 2022-09-15 | 2022-12-09 | 广汽埃安新能源汽车有限公司 | Multi-objective optimization method and device for design variables |
| CN115817109A (en) * | 2022-12-08 | 2023-03-21 | 西安交通大学 | Control system and method of thermal management system of trans-critical carbon dioxide new energy vehicle |
-
2023
- 2023-05-29 CN CN202310610064.2A patent/CN116341122B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3809306A1 (en) * | 2019-10-16 | 2021-04-21 | Dassault Systemes Simulia Corp. | Method and apparatus for automatic underhood thermal modeling |
| CN113465236A (en) * | 2021-05-11 | 2021-10-01 | 中国航空工业集团公司沈阳飞机设计研究所 | Simplified modeling method for environment-controlled thermal management system |
| CN114254540A (en) * | 2021-12-21 | 2022-03-29 | 内蒙古工业大学 | Simulation method and simulation system of permanent magnet synchronous generator based on digital goldenrain tree generator |
| CN114626252A (en) * | 2022-05-17 | 2022-06-14 | 长城汽车股份有限公司 | Wind resistance and thermal management multi-objective optimization method and device, electronic equipment and medium |
| CN115455773A (en) * | 2022-09-15 | 2022-12-09 | 广汽埃安新能源汽车有限公司 | Multi-objective optimization method and device for design variables |
| CN115817109A (en) * | 2022-12-08 | 2023-03-21 | 西安交通大学 | Control system and method of thermal management system of trans-critical carbon dioxide new energy vehicle |
Non-Patent Citations (3)
| Title |
|---|
| Efficient Process Parameters Optimization of Rapid Heat Cycling Molding Technology Based on Response Surface Methodology and Improved Genetic Algorithm;LIU Donglei 等;《机械工程学报》;全文 * |
| 电动汽车驱动电机系统高效工作区测评研究;孔治国 等;《2021中国汽车工程学会年会论文集（4）》;全文 * |
| 电子膨胀阀在新能源车三蒸系统中的性能研究;张驰 等;《汽车工程师》;全文 * |
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