CN115935614A - Digital twin construction method, device, equipment and readable storage medium - Google Patents
Digital twin construction method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The application provides a digital twin body construction method, which comprises the following steps: constructing a digital twin for a power unit of a target vehicle; the physical model of the digital twin body is used for acquiring typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and the virtual model of the digital twin body is used for simulating the power unit based on the typical working condition operation parameters of the power unit, heat management design parameters of the power unit and historical fault data of the power unit; and updating historical operation data and historical fault data of the power unit by using new data generated in the actual running process for updating the digital twin body. The digital twin body is continuously updated in an iteration mode, so that the digital twin body is continuously close to the state of the power unit of the real vehicle, and the state of the power unit of the real vehicle can be monitored and maintained. The application also provides a digital twin body construction device, equipment and a readable storage medium.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for constructing a digital twin.
Background
Modern vehicles are moving towards intellectualization, digitization, and electromotion, as are heavy-duty vehicles. Since the heavy-duty vehicle is heavy and has a large load, a high-power and high-power-density engine is required for driving. However, with the trend of vehicle electric driving, the conventional power compartment is gradually replaced by an electric driving power unit, such as a schematic diagram comparing the conventional heavy-duty vehicle with the electric driving heavy-duty vehicle shown in fig. 1.
The power unit mainly brings three changes to the whole vehicle: (1) The electric driving power unit cancels the traditional shaft transmission form, and the arrangement form has the characteristic of flexibility, so that the whole vehicle power unit is changed from being arranged below a cab to be hung on two sides of a vehicle frame; (2) The flexible design of the electric drive enables the number of power units of the whole vehicle to be changed from the previous one to the current two, so that the requirement on the performance parameters of an engine of the whole vehicle is reduced, and the reliability of the whole vehicle is improved; (3) The power unit is changed from mechanical energy provided by the prior engine to electric energy provided by the engine-driven generator.
Changes in power unit layout also present three problems: (1) The side-hung power unit causes the power unit to lose the windward wind speed of the traditional power cabin when the vehicle advances, which is not beneficial to the heat management of the power unit; (2) The front and the rear of the side-hung power unit are provided with wheels, and in order to avoid the damage of sand, dust, stones and the like brought by the wheels to the power unit, an air inlet and an air outlet cannot be designed on a cabin body on the side surface of the power unit, which also causes the problem of heat management of the power unit; (3) The electric drive power unit is additionally provided with a motor, a motor controller and other parts, and compared with the traditional vehicle, the problem of heat management of the power unit is more complicated only by considering the heat dissipation of the engine.
From the overall development of the electrically driven heavy-duty vehicle, on one hand, the thermal management technology of the power unit still has a large lifting space, and on the other hand, the state of the physical product also needs comprehensive diagnosis and maintenance. However, the prior art cannot realize the monitoring and maintenance of the state of the power unit of the real vehicle while improving the heat management technology.
Disclosure of Invention
The application provides a digital twin body construction method, a digital twin body construction device, digital twin body construction equipment and a computer readable storage medium, which can realize monitoring and maintenance of the state of a power unit of an actual vehicle.
Specifically, the method is realized through the following technical scheme:
in a first aspect, the present application provides a digital twin construction method, including:
constructing a digital twin for a power unit of a target vehicle, wherein the digital twin includes a physical model for obtaining typical operating condition operating parameters of the power unit, the typical operating condition operating parameters being generated based on historical operating data of the power unit, and a virtual model for simulating the power unit based on the typical operating condition operating parameters of the power unit, thermal management design parameters of the power unit, and historical fault data of the power unit;
and updating the historical operation data and the historical fault data of the power unit by using new data generated by the target vehicle in the actual running process, and updating the digital twin body by using the updated historical operation data and the updated historical fault data.
Optionally, when generating the operating parameters of the typical operating conditions of the power unit based on the historical operating data of the power unit, the method includes:
performing data cleaning on historical operation data of the power unit to obtain cleaning data;
dividing the cleaning data into at least two data subsets according to the power change rate of the power unit;
and selecting data from each data subset by taking the maximum power and/or the average power corresponding to each data subset as characteristic parameters, and taking the selected data as typical working condition operation parameters of the power unit.
Optionally, when constructing the virtual model of the digital twin body based on the thermal management design parameters of the power unit, the method includes:
combing out cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition;
combing out control logic of the power unit through an electric system schematic diagram of the power unit, and combing out control parameters related to the thermal management of the power unit based on the control logic;
constructing a virtual model of the digital twin based on the design parameters and the control parameters.
Optionally, the constructing a virtual model of the digital twin body based on the design parameters and the control parameters includes:
dividing the design parameters and the control parameters into interactive parameters and non-interactive parameters;
constructing a virtual model of the digital twin based on the non-interactive parameters and the interactive parameters.
Optionally, the interaction parameter is used to select a sensor model of the solid model.
Optionally, the digital twin body further includes a communication system, and the physical model and the virtual model of the digital twin body perform data transmission through the communication system;
the entity model of the digital twin body is connected with a data interface of the communication system in a CAN communication mode, the data interface converts CAN information into general data based on a protobuf protocol, and the general data is transmitted into the virtual model of the digital twin body through a general interface protocol.
In a second aspect, the present application provides a digital twin construction apparatus, comprising:
the twin body construction unit is used for constructing a digital twin body for a power unit of a target vehicle, wherein the digital twin body comprises a solid model for acquiring typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and the digital twin body comprises a virtual model for simulating the power unit based on the typical working condition operation parameters of the power unit, thermal management design parameters of the power unit and historical fault data of the power unit;
and a twin body updating unit which updates historical operation data and historical failure data of the power unit by using new data generated by the target vehicle in an actual running process, and updates the digital twin body by using the updated historical operation data and historical failure data.
Optionally, when the twin construction unit generates the typical operating condition operating parameters of the power unit based on the historical operating data of the power unit, the twin construction unit is specifically configured to:
performing data cleaning on historical operation data of the power unit to obtain cleaning data; dividing the cleaning data into at least two data subsets according to the power change rate of the power unit; and selecting data from each data subset by taking the maximum power and/or the average power corresponding to each data subset as characteristic parameters, and taking the selected data as typical working condition operation parameters of the power unit.
Optionally, when the twin building unit builds the virtual model of the digital twin based on the thermal management design parameters of the power unit, the twin building unit is specifically configured to:
combing out the cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition; combing out control logic of the power unit through an electric system schematic diagram of the power unit, and combing out control parameters related to the thermal management of the power unit based on the control logic; constructing a virtual model of the digital twin based on the design parameters and the control parameters.
Optionally, the twin constructing unit constructs a virtual model of the digital twin based on the design parameters and the control parameters, and is specifically configured to:
dividing the design parameters and the control parameters into interactive parameters and non-interactive parameters; constructing a virtual model of the digital twin based on the non-interaction parameters and the interaction parameters.
Optionally, the interaction parameter is used to select a sensor model of the solid model.
Optionally, the digital twin body further includes a communication system, and the physical model and the virtual model of the digital twin body perform data transmission through the communication system; the entity model of the digital twin body is connected with a data interface of the communication system in a CAN communication mode, the data interface converts CAN information into general data based on a protobuf protocol, and the general data are transmitted into the virtual model of the digital twin body through a general interface protocol.
In a third aspect, the present application provides an electronic device, comprising: a processor, a memory;
the memory for storing a computer program;
the processor is used for executing the digital twin construction method by calling the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described digital twin construction method.
According to the technical scheme provided by the application, a digital twin body is constructed for the power unit of the target vehicle; the physical model included by the digital twin body is used for obtaining typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and the virtual model included by the digital twin body is used for simulating the power unit based on the typical working condition operation parameters of the power unit, thermal management design parameters of the power unit and historical fault data of the power unit; and updating the historical operation data and the historical fault data of the power unit by using new data generated by the target vehicle in the actual running process, and updating the digital twin body by using the updated historical operation data and the updated historical fault data. Therefore, the digital twin body can approach the state of the power unit of the real vehicle continuously by constructing the thermal management digital twin body of the power unit of the vehicle and carrying out continuous iterative updating on the digital twin body, so that the state of the power unit in the aspect of thermal management and the motion working condition and the fault state of the power unit are reflected, and the monitoring and the maintenance of the state of the power unit of the real vehicle can be realized while the thermal management performance of the power unit is improved.
Drawings
FIG. 1 is a schematic diagram comparing a conventional heavy-duty vehicle and an electrically driven heavy-duty vehicle as illustrated herein;
FIG. 2 is a general architecture schematic diagram of a power unit digital twin shown in the present application;
FIG. 3 is a schematic flow diagram of a digital twin construction method shown in the present application;
FIG. 4 is a schematic illustration of a typical operating condition establishing process for the power unit illustrated herein;
FIG. 5 is a schematic diagram illustrating a thermal management design parameter grooming process and data flow shown herein;
fig. 6 is one of the configuration diagrams of the digital twin shown in the present application;
FIG. 7 is a schematic view of a digital twin communications system shown in the present application;
FIG. 8 is a schematic illustration of a typical operating condition of the power unit illustrated herein;
FIG. 9 is a schematic view of a virtual model of a power unit shown in the present application;
fig. 10 is a second schematic diagram of the configuration of the digital twin shown in the present application;
FIG. 11 is a schematic diagram illustrating the components of a digital twin construction apparatus according to the present application;
fig. 12 is a schematic structural diagram of an electronic device shown in the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at" \8230; "or" when 8230; \8230; "or" in response to a determination ", depending on the context.
It should be noted that, the conventional computer-aided engineering (CAE) technology can only be improved according to the design state of the product, and the digital twin technology based on the physical product, the virtual product and the connection technology between the two can well solve the problem of diagnosis and maintenance of the physical product. For this reason, the combination of the electric drive power unit thermal management problem and the digital twinning technology is imperative, and the overall scheme of the combination of the two is the technical problem to be solved by the application.
The embodiment of the application provides a digital twin body construction method, in particular to a design scheme of a digital twin framework of a power unit of an electrically driven heavy-duty vehicle. As shown in fig. 2, a general architecture diagram of a power unit digital twin body is shown, and a set of power unit digital twin body is constructed by using historical operating data of a power unit of an actual vehicle, thermal management design parameters of the power unit, and historical fault data of the power unit, so that research, fault diagnosis and maintenance of thermal management of the power unit are realized. And applying the digital twin body to the real vehicle, updating a historical operation database and a historical fault database of the power unit according to new data generated by the application of the real vehicle, and further continuously and iteratively updating the digital twin body of the power unit so as to realize the comprehensive maintenance of the product state.
Referring to fig. 3, a schematic flowchart of a digital twin construction method provided in an embodiment of the present application is shown, where the method includes the following steps 301 to 302;
s301: constructing a digital twin for a power unit of a target vehicle; the digital twin body comprises a solid model used for obtaining typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and a virtual model used for simulating the power unit based on the typical working condition operation parameters of the power unit, thermal management design parameters of the power unit and historical fault data of the power unit.
In the embodiment of the present application, the target vehicle may be any vehicle having a power unit, such as an electric drive heavy-duty vehicle. A set of power unit digital twins may be constructed for the target vehicle, the digital twins including a physical model (physical part) and a virtual model (virtual part), the physical model may be the test stand shown in fig. 2, and the virtual model is the result of virtualization of the power unit. The built test bench can approximate the working state of a real vehicle to the maximum extent, real-time operation of a real object and a virtual model of the bench is realized, and research on thermal management of the power unit and fault diagnosis and maintenance of the power unit can be realized by analyzing the operation parameters of the digital twin body.
As can be seen from the overall digital twin architecture shown in fig. 2, it is necessary to generate typical operating condition operating parameters of the power unit based on historical operating data (which may be operating data in a recent period of time) of the power unit, where the typical operating condition is the operating condition of the test bench of the power unit in fig. 2, that is, the historical operating condition of the power unit of a real vehicle (target vehicle) is presented by using the test bench. Referring to the flowchart for establishing the typical operation condition of the power unit shown in fig. 4, the actual vehicle (i.e., the target vehicle) generates a lot of power unit operation data during the use process, and the historical operation data is processed by the flowchart shown in fig. 4 to establish the typical operation condition of the power unit.
In one implementation manner of the embodiment of the present application, when generating the typical operating condition operating parameters of the power unit based on the historical operating data of the power unit, S301 may specifically include S301A1 to S301A3:
S301A1: and carrying out data cleaning on the historical operation data of the power unit to obtain cleaning data.
As shown in FIG. 4, historical operating data of the power unit, which may be collected over a recent period of time, may first be collected and data purged. The data cleaning mainly comprises the steps of filtering data signals to remove gross errors and the like, specifically, converting data in a power unit controller into a universal txt text by using MATALB software, and cleaning source data by using a wavelet filtering method by using Python to obtain cleaning data.
S301A2: the cleaning data is divided into at least two data subsets according to a power change rate of the power unit.
As shown in fig. 4, after data cleaning, operation condition planning and data separation are required. The operation condition planning mainly refers to GB/T38146.3-2021 to determine typical operation condition composition, and then uses the power change rate as a main basis for data separation to separate the cleaning data into a plurality of candidate data segments, for example, the power change rate is divided into several power intervals, and a candidate data segment corresponding to each power interval is determined, and each candidate data segment in all or part of the segments (some segments may be selected according to some preset rules) constitutes a data subset.
S301A3: and selecting data from each data subset by taking the maximum power and/or the average power corresponding to each data subset as characteristic parameters, and taking the selected data as typical working condition operation parameters of the power unit.
As shown in fig. 4, after data separation, a typical operation condition needs to be established, a typical operation condition of the power unit may be established by using cluster analysis, and the cluster analysis may calculate a transition matrix, etc. Specifically, for each data subset, the maximum power and/or the average power may be used as the characteristic parameters, and the most representative data content in the data subset is selected to form the typical operating parameters of the power unit, for example, the maximum power and/or the average power of the power unit corresponding to the data subset is determined, and then the data content corresponding to the maximum power in the data subset is selected, and/or the data content corresponding to the average power in the data subset is selected.
Because the existing power unit heat management technology still has a larger promotion space, in order to promote the effect of the power unit in the aspect of cooling or heat dissipation, the power unit heat management problem and the digital twinning technology can be combined, and effective research on the heat management performance of the power unit is realized based on the constructed digital twinning body.
In one implementation manner of the embodiment of the present application, when constructing the virtual model of the digital twin based on the thermal management design parameters of the power unit, S301 may specifically include S301B1-S301B3:
S301B1: and combing out the cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition.
Referring to fig. 5, a carding process of thermal management design parameters and a data flow diagram are shown, based on a schematic diagram of a cooling system of a power unit (i.e., a thermal management schematic diagram), which components of the cooling system are carded out, and design parameters related to thermal management of the power unit are carded out by analyzing relevant parameters of the components in a cooling function.
S301B2: the control logic of the power unit is combed through an electric system schematic diagram of the power unit, and control parameters related to thermal management of the power unit are combed based on the control logic.
As shown in fig. 5, based on the schematic diagram of the electrical system of the power unit, the control logic of the power unit is extracted, and the control parameters related to the thermal management of the power unit are extracted by analyzing the relevant parameters of the control logic in the cooling function.
It should be noted that the execution order of S301B1 and S301B2 is not limited in the embodiments of the present application.
S301B3: and constructing a virtual model of the digital twin body based on the design parameters and the control parameters.
After design parameters and control parameters related to the thermal management of the power unit are combed out, a virtual model of the digital twin body is constructed by utilizing the parameters, and the virtual model can simulate and reflect the state of the power unit in the aspect of thermal management, so that the thermal management can be researched, and the thermal management function can be further improved.
In one implementation, when constructing the virtual model of the digital twin based on the design parameters and the control parameters, S301B3 may specifically include: dividing design parameters and control parameters into interactive parameters and non-interactive parameters; and constructing a virtual model of the digital twin body based on the non-interactive parameters and the interactive parameters. In the present implementation, as shown in fig. 5, the design parameters are divided into interactive parameters and non-interactive parameters, the control parameters are also divided into interactive parameters and non-interactive parameters, and then the virtual part of the digital twin is constructed based on the two parameter types of the interactive parameters and the non-interactive parameters, so as to effectively reflect the operating state of the power unit of the real vehicle in terms of data interactivity and non-interactivity.
In addition, the interaction parameters in fig. 5 can be used as a basis for selecting a measuring point for the digital twin organism entity, so the interaction parameters can be used for selecting a sensor model of the digital twin organism entity model.
In the embodiment of the present application, magicDraw software may be used to comb power unit component compositions and control logic through a power unit thermal management schematic and an electrical system schematic, and based thereon, to comb design parameters and control parameters related to power unit thermal management, and finally to divide these parameters into interactive parameters and non-interactive parameters, as shown in fig. 5.
In the embodiment of the application, in order to make the digital twin approach to the actual state of the power unit, historical fault data of the power unit needs to be collected, and the historical fault data can be fault-related data collected when the power unit fails in the recent period of time and/or all fault-related data or part of typical fault-related data collected when faults occur in the past. Based on these historical fault data, it is possible to replicate and learn in the virtual model as a virtual model to identify different fault patterns that may occur in certain aspects of the power unit, such as a failure of a certain function of the power unit.
For further understanding of the digital twins in the embodiments of the present application, refer to one of the schematic configurations of the digital twins shown in fig. 6. The operating conditions of the power unit test rig are determined by the exemplary operating conditions of FIG. 4; the type of test bed sensor is determined according to the interaction parameters in FIG. 5; the digital twin virtual model is constructed by thermal management design parameters and control parameters of the power unit; taking the sorted historical faults of the power unit as a fault library to establish a digital twin fault diagnosis model; the twin virtual part and the twin physical part are connected through a communication system.
Therefore, in an implementation manner of the embodiment of the present application, the digital twin further includes a communication system, and the physical model and the virtual model of the digital twin perform data transmission through the communication system; the entity model of the digital twin body is connected with a data interface of a communication system in a Controller Area Network (CAN) communication mode, and the data interface converts CAN information into general data based on a protobuf protocol and transmits the general data into a virtual model of the digital twin body through a general interface protocol.
In this implementation, referring to the schematic diagram of the digital twin communication system shown in fig. 7, the data acquisition system of the physical model (such as the test bench shown in fig. 2) is connected to the data interface in the CAN communication manner; the data interface converts CAN information into general data based on a protobuf protocol, and transmits the general data into the digital twin virtual model through a general interface protocol. Therefore, the entity model can transmit the relevant data such as the typical operation condition of the power unit to the virtual model, so that the entity model can be used for constructing and updating the virtual model.
In addition, in the embodiment of the present application, when the cluster analysis is used to establish the typical operation condition of the power unit shown in fig. 4, fig. 8 is a schematic diagram of the typical operation condition of the power unit.
When the virtual model of the power unit is established, MWorks software can be used for establishing, such as the schematic diagram of the virtual model of the power unit shown in fig. 9, and the virtual model includes not only a model of the components of the power unit, but also a model for controlling the components.
When a digital twin is established, the second configuration of the digital twin is shown in fig. 10. The test bench is mainly used for collecting the operation parameters of the power unit, and the communication module is responsible for data connection between the entity model and the virtual model. The virtual model needs to be calibrated based on the power unit operation data to ensure the accuracy of the virtual model. On the basis of the accurate virtual model, on one hand, the operation parameters in the virtual model are displayed to enable the operation parameters in the digital twin body to be more transparent, and on the other hand, the health state of the power unit is managed by using the digital twin body model.
S302: and updating historical operation data and historical fault data of the power unit by using new data generated by the target vehicle in the actual running process, and updating the digital twin by using the updated historical operation data and historical fault data.
In the embodiment of the application, a historical operation database can be constructed in advance, so that the data updating of the historical operation data in the database is facilitated; and a historical fault database is constructed in advance, so that data updating of historical fault data in the database is facilitated, and historical faults occurring in the power unit are counted to be used as a database for digital twin fault diagnosis.
In the embodiment of the present application, the digital twin establishment method may be applied to a real vehicle (i.e., a target vehicle). And new data and fault types are continuously generated in the real vehicle running process, the data are continuously updated into the historical operation database and the historical fault database, and the whole digital twin body is iterated to achieve monitoring and maintenance of the real vehicle power unit. For example, the digital twin body is updated according to a preset time period (such as one week or one month), the database is updated by using new data generated in each time period, when the database is updated, new historical operation data and historical failure data of the power unit in the time period are updated to the corresponding database, and in order to ensure the validity and real-time performance of the data in the database, some old data or data which are not used for value in the database can be deleted. After updating the database, data processing may be performed according to the data processing method mentioned above, and the updated or processed data may be used to update the digital twin.
It should be noted that sports car data generated by the real car can be collected at any time and used for continuously updating the digital twin, and in the continuous updating iteration process, the power unit twin model can continuously approach the state of the real car power unit, and finally, the power unit digital twin model which is the same as or similar to the state of the real car is realized.
Based on the construction of the power unit heat management digital twin body, the monitoring and maintenance of the state of the power unit of the real vehicle can be realized, the control of the full life cycle state of the power unit of the real vehicle is realized, and the power unit has positive effects on the design, calculation and quality improvement of the power unit.
In the digital twin construction method provided by the embodiment of the application, a digital twin is constructed for a power unit of a target vehicle; the physical model included by the digital twin body is used for obtaining typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and the virtual model included by the digital twin body is used for simulating the power unit based on the typical working condition operation parameters of the power unit, thermal management design parameters of the power unit and historical fault data of the power unit; and updating the historical operation data and the historical fault data of the power unit by using new data generated by the target vehicle in the actual running process, and updating the digital twin body by using the updated historical operation data and the updated historical fault data. Therefore, the vehicle power unit heat management digital twin is constructed and the digital twin is continuously updated in an iteration mode, so that the digital twin can be continuously close to the state of the real vehicle power unit, the state of the power unit in the heat management aspect and the movement working condition and the fault state of the power unit are reflected, and the monitoring and the maintenance of the state of the real vehicle power unit can be realized while the heat management performance of the power unit is improved.
Referring to fig. 11, a schematic composition diagram of a digital twin constructing apparatus shown in the present application is shown, the apparatus includes:
a twin body construction unit 1101 that constructs a digital twin body for a power unit of a target vehicle, wherein the digital twin body includes a physical model for acquiring typical operating condition operating parameters of the power unit, the typical operating condition operating parameters being generated based on historical operating data of the power unit, and a virtual model for simulating the power unit based on the typical operating condition operating parameters of the power unit, thermal management design parameters of the power unit, and historical failure data of the power unit;
a twin updating unit 1102 that updates the historical operation data and the historical failure data of the power unit using new data generated by the target vehicle during an actual running, and updates the digital twin using the updated historical operation data and the historical failure data.
In an implementation manner of the embodiment of the present application, the twin construction unit 1101, when generating the typical operating condition operating parameters of the power unit based on the historical operating data of the power unit, is specifically configured to:
performing data cleaning on historical operation data of the power unit to obtain cleaning data; dividing the cleaning data into at least two data subsets according to the power change rate of the power unit; and selecting data from each data subset by taking the maximum power and/or the average power corresponding to each data subset as characteristic parameters, and taking the selected data as typical working condition operation parameters of the power unit.
In an implementation manner of the embodiment of the present application, the twin constructing unit 1101, when constructing the virtual model of the digital twin based on the thermal management design parameters of the power unit, is specifically configured to:
combing out cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition; combing out control logic of the power unit through an electric system schematic diagram of the power unit, and combing out control parameters related to the thermal management of the power unit based on the control logic; constructing a virtual model of the digital twin based on the design parameters and the control parameters.
In an implementation manner of the embodiment of the present application, the twin constructing unit 1101 constructs a virtual model of the digital twin based on the design parameters and the control parameters, and is specifically configured to:
dividing the design parameters and the control parameters into interactive parameters and non-interactive parameters; constructing a virtual model of the digital twin based on the non-interactive parameters and the interactive parameters.
In one implementation of the embodiment of the present application, the interaction parameter is used to select a sensor model of the solid model.
In an implementation manner of the embodiment of the present application, the digital twin further includes a communication system, and the physical model and the virtual model of the digital twin perform data transmission through the communication system; the entity model of the digital twin body is connected with a data interface of the communication system in a CAN communication mode, the data interface converts CAN information into general data based on a protobuf protocol, and the general data is transmitted into the virtual model of the digital twin body through a general interface protocol.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
An embodiment of the present application further provides an electronic device, a schematic structural diagram of the electronic device is shown in fig. 12, where the electronic device 1200 includes at least one processor 1201, a memory 1202, and a bus 1203, and the at least one processor 1201 is electrically connected to the memory 1202; the memory 1202 is configured to store at least one computer-executable instruction, which the processor 1201 is configured to execute, thereby performing the steps of any one of the digital twin construction methods as provided by any one of the embodiments or any one of the alternative embodiments of the present application.
Further, the processor 1201 may be an FPGA (Field-Programmable Gate Array) or other devices with logic processing capability, such as an MCU (micro controller Unit) and a CPU (Central processing Unit).
By applying the embodiment of the application, the digital twin body of the vehicle power unit is constructed and continuously iterated and updated, so that the digital twin body can be continuously close to the state of the power unit of the real vehicle, the state of the power unit in the aspect of heat management and the movement working condition and the fault state of the power unit are reflected, and the monitoring and the maintenance of the state of the power unit of the real vehicle can be realized while the heat management performance of the power unit is improved.
The embodiment of the present application further provides another computer-readable storage medium, which stores a computer program, where the computer program is used for implementing, when executed by a processor, the steps of any one of the digital twin constructing methods provided in any one of the embodiments or any one of the alternative embodiments of the present application.
The computer-readable storage medium provided by the embodiments of the present application includes, but is not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks, ROMs (Read-Only memories), RAMs (Random Access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards. That is, a readable storage medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
By applying the embodiment of the application, the digital twin body can approach the state of the power unit of the real vehicle continuously by constructing the thermal management digital twin body of the power unit of the vehicle and continuously iteratively updating the digital twin body, so that the state of the power unit in the aspect of thermal management and the movement working condition and the fault state of the power unit are reflected, and the monitoring and the maintenance of the state of the power unit of the real vehicle can be realized while the thermal management performance of the power unit is improved.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A digital twin construction method, comprising:
constructing a digital twin for a power unit of a target vehicle, wherein the digital twin includes a solid model for obtaining typical operating condition operating parameters of the power unit, the typical operating condition operating parameters being generated based on historical operating data of the power unit, and a virtual model for simulating the power unit based on the typical operating condition operating parameters of the power unit, thermal management design parameters of the power unit, and historical fault data of the power unit;
and updating the historical operation data and the historical fault data of the power unit by using new data generated by the target vehicle in the actual running process, and updating the digital twin body by using the updated historical operation data and the updated historical fault data.
2. The method of claim 1, wherein generating the operating parameters for the typical operating conditions of the power unit based on historical operating data of the power unit comprises:
performing data cleaning on historical operation data of the power unit to obtain cleaning data;
dividing the cleaning data into at least two data subsets according to the power change rate of the power unit;
and selecting data from each data subset by taking the maximum power and/or the average power corresponding to each data subset as characteristic parameters, and taking the selected data as the typical working condition operation parameters of the power unit.
3. The method of claim 1, wherein constructing the virtual model of the digital twin based on thermal management design parameters of the power unit comprises:
combing out cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition;
combing out control logic of the power unit through an electric system schematic diagram of the power unit, and combing out control parameters related to the thermal management of the power unit based on the control logic;
constructing a virtual model of the digital twin based on the design parameters and the control parameters.
4. The method according to claim 3, wherein the constructing a virtual model of the digital twin based on the design parameters and the control parameters comprises:
dividing the design parameters and the control parameters into interactive parameters and non-interactive parameters;
constructing a virtual model of the digital twin based on the non-interactive parameters and the interactive parameters.
5. The method of claim 3, wherein the interaction parameter is used to select a sensor model of the solid model.
6. The method according to any one of claims 1-5, wherein the digital twin further comprises a communication system through which the physical and virtual models of the digital twin are transmitted;
the entity model of the digital twin body is connected with a data interface of the communication system in a CAN communication mode, the data interface converts CAN information into general data based on a protobuf protocol, and the general data are transmitted into the virtual model of the digital twin body through a general interface protocol.
7. A digital twin construction apparatus, comprising:
the twin body construction unit is used for constructing a digital twin body for a power unit of a target vehicle, wherein the digital twin body comprises a solid model for acquiring typical working condition operation parameters of the power unit, the typical working condition operation parameters are generated based on historical operation data of the power unit, and the digital twin body comprises a virtual model for simulating the power unit based on the typical working condition operation parameters of the power unit, thermal management design parameters of the power unit and historical fault data of the power unit;
and a twin body updating unit which updates historical operation data and historical failure data of the power unit by using new data generated by the target vehicle in an actual running process, and updates the digital twin body by using the updated historical operation data and historical failure data.
8. The apparatus according to claim 7, wherein the twin construction unit, when constructing the virtual model of the digital twin based on the thermal management design parameters of the power unit, is specifically configured to:
combing out cooling system component composition of the power unit through a cooling system schematic diagram of the power unit, and combing out design parameters related to the thermal management of the power unit based on the cooling system component composition; combing out control logic of the power unit through an electric system schematic diagram of the power unit, and combing out control parameters related to the thermal management of the power unit based on the control logic; constructing a virtual model of the digital twin based on the design parameters and the control parameters.
9. An electronic device, comprising: a processor, a memory;
the memory for storing a computer program;
the processor is used for executing the digital twin construction method according to any one of claims 1-6 by calling the computer program.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the digital twin construction method of any one of claims 1-6.
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