Part modeling method and system for radiation emission simulation of electric drive system
By distinguishing the active and passive components of the electric drive system, establishing a test platform and generating an S parameter matrix, converting it into a Z parameter matrix, and fitting an equivalent circuit model, the model distortion problem in the EMC simulation of the electric drive system is solved, and the modeling accuracy and EMC simulation accuracy are improved.
Patent Information
- Application Number
- CN202510530576.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-25
- Publication Date
- 2025-08-01
AI Technical Summary
In the existing automotive electromagnetic simulation methods, the parameter test results are inaccurate, resulting in model distortion, and the EMC performance of the electric drive system cannot be accurately predicted, which may lead to vehicle failure and mutual interference problems.
Distinguish between active components and passive components in the electric drive system, establish a test platform, independently measure passive components to generate passive S parameter matrix, separate active S parameter matrix, convert them into Z parameter matrix, and fit the model with equivalent circuit topology.
By modeling passive and active components separately and building high-frequency equivalent circuit models, the accuracy of modeling is improved, ensuring that the EMC simulation results of the electric drive system are more accurate, and reducing R&D cycle and cost.
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Figure CN120409009A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicle structures, and in particular, to a component modeling method and system for electric drive system radiation emission simulation. Background Art
[0002] As the core component of an electric vehicle, the electric drive system has the IGBT inside the inverter as a power device in a fast on-off mode, generating a large dv / dt (voltage change rate) and di / dt (current change rate) during the modulation process, which is the main source of the excessive electromagnetic compatibility radiation emission level of the vehicle. It may cause the vehicle to fail to meet the road standard requirements and even cause mutual interference problems between devices, resulting in vehicle failures.
[0003] Predicting the vehicle EMC (electromagnetic compatibility) performance through simulation is a practical way, which can detect EMC problems as early as possible during the vehicle development process and rectify them, thus shortening the R & D cycle and saving R & D costs. However, there have always been technical problems in current automotive electromagnetic simulation. For example, in the existing parameter testing methods, the parameter results obtained by usually measuring parameters through simulation or power-off conditions are not accurate, resulting in model distortion. Summary of the Invention
[0004] In view of the problems existing in the prior art, an embodiment of the present invention provides a component modeling method for electric drive system radiation emission simulation.
[0005] An embodiment of the present invention provides a component modeling method for electric drive system radiation emission simulation, the method comprising: Distinguish active components and passive components in the electric drive system, and establish a test platform for electric drive system radiation emission; Independently measure the passive components through the test platform to generate a passive S-parameter matrix; Measure the electric drive system through the test platform to generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; Convert the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, select a corresponding equivalent circuit topology based on the Z-parameter matrices, and fit the model in combination with a preset algorithm.
[0006] In one embodiment, the method further comprises: A vector network analyzer and a fixture; The independently measuring the passive components through the test platform to generate a passive S-parameter matrix comprises: Connect the input / output terminals of the passive component to the vector network analyzer through the fixture, and connect the RF port of the fixture to the measurement channel of the vector network analyzer; Send sweep frequency information to the passive component through the vector network analyzer, record the reflection and transmission characteristics of the passive component, and generate the passive S-parameter matrix.
[0007] In one embodiment, the method further includes: Eliminate the influence of the filter circuit in the fixture; The eliminating the influence of the filter circuit in the fixture includes: Measure the fixture S-parameter matrix of the filter circuit in the fixture, and separate the passive S-parameter matrix and the fixture S-parameter matrix from the S-parameter matrix to generate the active S-parameter matrix; Or, convert the fixture S-parameter matrix into a fixture Z-parameter matrix, and separate the fixture Z-parameter matrix from the Z-parameter matrix.
[0008] In one embodiment, the method further includes: Obtain the identity matrix and impedance matrix of the test platform, substitute the passive S-parameter matrix, active S-parameter matrix, identity matrix and impedance matrix into the conversion formula, and calculate the Z-parameter matrix; The conversion formula includes: Wherein, is the Z-parameter matrix, is the impedance matrix, is the identity matrix, is the passive S-parameter matrix or the active S-parameter matrix.
[0009] In one embodiment, the method further includes: Select the equivalent circuit topologies corresponding to the passive component and the active component, define an initial model based on the equivalent circuit topologies, input the Z-parameter matrix into the initial model, adjust the component values of the passive component and the active component, and perform iterative optimization on the model to output the fitted equivalent circuit model.
[0010] In one embodiment, the passive component includes: a motor, a battery pack; The active component includes: a power inverter.
[0011] An embodiment of the present invention provides a component modeling system for electric drive system radiation emission simulation, and the system includes: A platform module, configured to distinguish the active components and passive components in the electric drive system, and establish a test platform for the radiation emission of the electric drive system; The first measurement module is used to independently measure the passive component through the test platform and generate a passive S-parameter matrix; The second measurement module is used to measure the electric drive system through the test platform, generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; The conversion module is used to convert the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, select corresponding equivalent circuit topologies based on the Z-parameter matrices, and fit models in combination with a preset algorithm.
[0012] In one embodiment, the test platform includes: a vector network analyzer and a fixture: The connection module is used to connect the input / output ends of the passive component to the vector network analyzer through the fixture and connect the RF port of the fixture to the measurement channel of the vector network analyzer; The frequency sweep module is used to send frequency sweep information to the passive component through the vector network analyzer, record the reflection and transmission characteristics of the passive component, and generate the passive S-parameter matrix.
[0013] An embodiment of the present invention provides an electronic device, including a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory to execute the method described in one or more embodiments.
[0014] An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned component modeling method for electric drive system radiation emission simulation are implemented.
[0015] In view of the above, in one or more embodiments of this specification, the active components and passive components in the electric drive system are distinguished, and a test platform for electric drive system radiation emission is established; the passive component is independently measured through the test platform to generate a passive S-parameter matrix; the electric drive system is measured through the test platform to generate an S-parameter matrix, and the passive S-parameter matrix is separated from the S-parameter matrix to generate an active S-parameter matrix; the passive S-parameter matrix and the active S-parameter matrix are converted into Z-parameter matrices, corresponding equivalent circuit topologies are selected based on the Z-parameter matrices, and models are fitted in combination with a preset algorithm. In this way, by separately modeling the passive and active components, a complete high-frequency equivalent circuit model of the electric drive system is constructed, and each module model is independently optimized to improve the overall modeling accuracy. Description of the Drawings
[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0017] Figure 1 It is a flowchart of a component modeling method for electric drive system radiation emission simulation provided by an embodiment of this specification.
[0018] Figure 2 It is a schematic diagram of DC power supply S parameter testing provided by an embodiment of this specification.
[0019] Figure 3 It is a schematic diagram of motor S parameter testing provided by an embodiment of this specification.
[0020] Figure 4 It is a schematic diagram of inverter DC input terminal S parameter testing provided by an embodiment of this specification.
[0021] Figure 5 It is a schematic diagram of inverter AC output terminal S parameter testing provided by an embodiment of this specification.
[0022] Figure 6 It is a schematic diagram of the structure of a component modeling system for electric drive system radiation emission simulation provided by an embodiment of this specification.
[0023] Figure 7 It is a schematic diagram of the structure of an electronic device provided by an embodiment of this specification. Detailed implementation manners
[0024] Now, the subject matter described herein will be discussed with reference to example embodiments. It should be understood that discussing these embodiments is only to enable those skilled in the art to better understand and thus implement the subject matter described herein, and is not a limitation on the scope of protection, applicability, or examples set forth in the claims. The functions and arrangements of the elements discussed can be changed without departing from the scope of protection of the content of this specification. Each example can omit, substitute, or add various processes or components as needed. For example, the methods described can be executed in a different order from the described order, and each step can be added, omitted, or combined. Additionally, the features described relative to some examples can also be combined in other examples.
[0025] As used herein, the term "comprising" and its variants denote open-ended terms meaning "including but not limited to". The term "based on" means "at least partially based on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment". The term "another embodiment" means "at least one other embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other definitions may be included below, whether explicit or implicit. Unless explicitly specified in the context, the definition of a term is consistent throughout the specification.
[0026] As Figure 1 shown, an embodiment of the present invention provides a component modeling method for electric drive system radiation emission simulation, including: Step S102, distinguish the active components that generate noise and the passive components that respond to noise in the electric drive system, and establish a test platform for electric drive system radiation emission.
[0027] Specifically, obtain the characteristics of each module in the electric drive system. Based on the characteristics, it is divided into: in the electric drive system, due to the fast switching behavior of internal IGBT / MOSFET, high-frequency switching noise will be generated, and its dynamic characteristics are complex and require special treatment of active components; and linear impedance characteristics, which do not generate significant switching noise, and passive components whose high-frequency characteristics can be obtained through direct measurement. Among them, the active component can be a power inverter, and the passive components can be a motor and a battery pack. The topology structure of the electric drive system can also be analyzed to further determine which structures are noise sources (active components) that actively generate noise and which structures are passive components (passive components).
[0028] Furthermore, for subsequent modeling steps, a test platform capable of accurately measuring the radiation emission of the electric drive system needs to be established. The test platform may include but is not limited to the following structures: a high-voltage DC power supply for supplying power to the test platform to simulate the power supply environment under actual working conditions; an HV LISN (high-voltage line impedance stabilization network) for stabilizing the impedance of the power line and extracting the conducted interference signal (usually set to 50Ω); a CDN (coupling and decoupling network, fixture) for isolating the high-voltage DC, protecting test equipment such as a vector network analyzer (VNA), allowing high-frequency signals to pass through, and suppressing low-frequency interference; a vector network analyzer (VNA) for measuring the S-parameter matrix of each module to describe its high-frequency characteristics. In addition, in addition to the above structures, functional modules such as a shielded room, a standard load, and a data acquisition system may also be included. Among them, compared with the prior art, the fixture (CDN) structure solves the problem of damage to test equipment by high-voltage DC in the prior art, ensuring the safety and reliability of measurement.
[0029] Step S104, independently measure the passive components through the test platform to generate a passive S-parameter matrix.
[0030] Specifically, the passive component has a linear impedance characteristic and does not actively generate switching noise or complex dynamic behavior, so the passive component is directly measured independently. For the measurement of the passive component, an excitation signal can be applied through the test platform. The specific test process can be, for example: connect the passive component (such as a motor or a battery pack) to the test circuit, and then connect the input / output terminals of the passive component to the VNA through the CDN, and connect the RF port of the CDN to the measurement channel of the VNA. Then adjust the frequency range, reference impedance, and load conditions (all common standard parameters), then apply an excitation signal (the VNA applies a swept-frequency signal to the passive component), and record the reflection and transmission characteristics of the passive component to generate an S-parameter matrix. Among them, the S-parameters (scattering parameters) describe the reflection and transmission characteristics of the signal between the ports. In a passive component, the S-parameter matrix can fully reflect its parasitic effects (such as parasitic inductance and parasitic capacitance) and impedance characteristics.
[0031] Step S106, measure the electric drive system through the test platform, generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix.
[0032] Specifically, connect the entire electric drive system (including active components and passive components) to the test platform for testing. On the premise of supplying power at the DC input terminal but not switching, use the VNA connection fixture to measure the port S-parameter matrix of the active component (inverter). The S-parameter matrix at this time is the S-parameter matrix of the entire electric drive system, which includes the S-parameter matrix of the active component (inverter) and the influence of the external load (passive component) on the high-frequency characteristics of the active component (inverter), and is the combined response of the active component and the passive component. In order to remove this part of the influence of the passive component, it is necessary to separate the passive S-parameter matrix in the S-parameter matrix, and the remaining parameters are the S-parameter matrix of the active component. Among them, the power supply during the test of the electric drive system requires high-frequency DC power supply and no switching (prohibit the IGBT / MOSFET inside the inverter from performing switching actions), so as to more easily display the circuit parasitic parameters.
[0033] Furthermore, the separation of the external load (passive component) can be removed through a preset de-embedding technique. For example, through matrix factorization methods, matrix factorization techniques in linear algebra (such as singular value decomposition or LU decomposition) can be used to extract the active S-parameter matrix from the S-parameter matrix.
[0034] Step S108, convert the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, select the corresponding equivalent circuit topology based on the Z-parameter matrices, and fit the model in combination with a preset algorithm.
[0035] Specifically, after obtaining the passive S-parameter matrix of passive components and the active S-parameter matrix of active components, the S-parameter (scattering parameter) matrix is converted into a Z-parameter (impedance parameter) matrix. Among them, the circuit impedance characteristics in the Z-parameter matrix can more intuitively reflect the circuit behavior. When fitting the equivalent circuit model subsequently, the Z-parameters are easier to correspond to RLC components (resistors, inductors, capacitors), and the established model has a better effect. The specific conversion steps can be achieved by obtaining the identity matrix and impedance matrix (standard parameters, usually set to 50 Ω) of the test platform, substituting the passive S-parameter matrix, active S-parameter matrix, identity matrix, and impedance matrix into the conversion formula, and calculating the Z-parameter matrix. Among them, the conversion formula includes: Among them, is the Z-parameter matrix, is the impedance matrix, is the identity matrix, is the passive S-parameter matrix or the active S-parameter matrix.
[0036] Furthermore, select the equivalent circuit topologies corresponding to passive components and active components. Among them, the parasitic effects of passive components can be represented by an RLC network. For active components, in addition to the RLC network, a current-controlled source or a voltage-controlled source needs to be added to simulate their switching noise and dynamic characteristics. Then, input the Z-parameter matrix into the initial model, and combine it with a preset model algorithm, such as the vector network matching algorithm (the algorithm can extract the equivalent circuit model from the measurement data), for iterative optimization. The algorithm gradually adjusts the component values (such as resistors, inductors, capacitors) in the model by minimizing the error function (such as the mean square error), making the frequency response of the model as close as possible to the measurement data, and then outputs the fitted equivalent circuit model.
[0037] In addition, the fixture (CDN) usually contains a filter circuit to suppress the noise in non-target frequency bands. However, the filter circuit will produce an additional impedance effect on the measurement results, resulting in the measured S-parameters and Z-parameters deviating from the true characteristics of the module itself. Therefore, it is necessary to eliminate the influence of the filter circuit in the fixture. Eliminating the influence of the filter circuit in the fixture can include two sub-cases. One is to measure the fixture S-parameter matrix of the filter circuit in the fixture, and then when separating the passive S-parameter matrix from the S-parameter matrix, the fixture S-parameter matrix is separated together to generate the active S-parameter matrix. The other is to convert the fixture S-parameter matrix into the fixture Z-parameter matrix and separate the fixture Z-parameter matrix from the Z-parameter matrix, so as to ensure that the final model data can accurately reflect the high-frequency characteristics of the module itself.
[0038] A component modeling method for electric drive system radiation emission simulation provided by an embodiment of the present invention differentiates active components and passive components in the electric drive system and establishes a test platform for electric drive system radiation emission; independently measures passive components through the test platform to generate a passive S-parameter matrix; measures the electric drive system through the test platform to generate an S-parameter matrix, separates the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; converts the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, selects a corresponding equivalent circuit topology based on the Z-parameter matrices, and fits the model in combination with a preset algorithm. In this way, by separately modeling passive and active components, a complete high-frequency equivalent circuit model of the electric drive system is constructed, and each module model is independently optimized to improve the overall modeling accuracy.
[0039] In another embodiment, a component modeling method for electric drive system radiation emission simulation further includes specific components, including the S-parameter measurement methods for a DC power supply, a motor, and a power inverter. Among them, the schematic diagrams for S-parameter measurement of each module can be as Figure 2 , Figure 3 , Figure 4 , Figure 5 shown. Figure 2 is a schematic diagram for S-parameter testing of a passive component (DC power supply). Among them: the DC power supply is cascaded with an HV LISN (High Voltage Line Impedance Stabilization Network), a CDN (Special Fixture) is connected to the RF port of the HV LISN, two channels of the VNA are connected to the RF voltage ports of the CDN, and then a standard impedance load is connected to the RF port of the LISN to measure the S-parameter matrix of the DC power supply. Figure 3 is a schematic diagram for S-parameter testing of a passive component (motor). Among them: three of the four channels of the VNA are connected to the RF voltage ports of the CDN, and the motor is connected to the test loop through the CDN. The test frequency range covers the entire operating frequency band of the electric drive system, and then the multi-port S-parameter matrix of the motor is measured. Figure 4 is a schematic diagram for S-parameter testing of the DC input terminal of an inverter (active component). The electric drive system is powered on, but the inverter is not switched. The VNA is connected to the RF voltage ports of the CDN to measure the S-parameters of the DC input terminal of the inverter. Figure 5 is a schematic diagram for S-parameter testing of the AC output terminal of an inverter (active component). The electric drive system is powered on, but the inverter is not switched. The VNA is connected to the AC output terminal of the inverter through the CDN to measure its S-parameters. In the above actual test process, the fixture can perform high-voltage isolation to protect the VNA from damage by high-voltage DC; signal coupling to allow high-frequency signals to pass through while suppressing low-frequency interference; and contain a filter circuit to suppress noise in non-target frequency bands through the built-in filter circuit.
[0040] In this embodiment, the S-parameters of each module (DC power supply, motor, DC side of the inverter, AC side of the inverter) of the electric drive system are measured by a dedicated fixture (CDN) and a vector network analyzer (VNA). Combining the measurement data, a high-frequency equivalent circuit model can be fitted through a vector network matching algorithm, providing accurate inputs for vehicle EMC simulation.
[0041] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of a component modeling system for electric drive system radiation emission simulation provided by an embodiment of the present application. As Figure 6 shown, the system includes: A platform module S602, which is used to distinguish active components and passive components in the electric drive system and establish a test platform for electric drive system radiation emission; A first measurement module S604, which is used to independently measure the passive components through the test platform to generate a passive S-parameter matrix; A second measurement module S606, which is used to measure the electric drive system through the test platform to generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; A conversion module S608, which is used to convert the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, select corresponding equivalent circuit topologies based on the Z-parameter matrices, and fit models in combination with a preset algorithm.
[0042] In another embodiment, a component modeling system for electric drive system radiation emission simulation further includes: A connection module, which is used to connect the input / output terminals of the passive components to the vector network analyzer through the fixture, and connect the RF port of the fixture to the measurement channel of the vector network analyzer; A frequency sweep module, which is used to send frequency sweep information to the passive components through the vector network analyzer, record the reflection and transmission characteristics of the passive components, and generate the passive S-parameter matrix.
[0043] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "units" and "modules" in this specification refer to software and / or hardware that can independently complete or cooperate with other components to complete specific functions, where the hardware can be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), etc.
[0044] Each processing unit and / or module in the embodiments of the present application can be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or can be implemented by software that executes the functions described in the embodiments of the present application.
[0045] See Figure 7 , which shows a schematic structural diagram of an electronic device involved in the embodiments of the present application. This electronic device can be used to implement Figure 1 the method in the illustrated embodiment. As Figure 7 shown, the electronic device 700 may include: at least one processor 701, at least one network interface 704, a user interface 703, a memory 705, and at least one communication bus 702.
[0046] Among them, the communication bus 702 is used to realize the connection and communication between these components.
[0047] Among them, the user interface 703 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 703 may further include a standard wired interface and a wireless interface.
[0048] Among them, the network interface 704 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
[0049] Among them, the processor 701 may include one or more processing cores. The processor 701 uses various interfaces and lines to connect various parts within the entire electronic device 700. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 705, and by calling data stored in the memory 705, the processor 701 executes various functions of the terminal 700 and processes data. Optionally, the processor 701 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 701 may integrate one or several combinations of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 701 and may be implemented separately by a single chip.
[0050] Among them, the memory 705 may include a Random Access Memory (RAM), or may also include a Read-Only Memory. Optionally, the memory 705 includes a non-transitory computer-readable storage medium. The memory 705 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 705 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above method embodiments, etc.; the data storage area can store the data involved in the above method embodiments. Optionally, the memory 705 may also be at least one storage device located far from the aforementioned processor 701. As Figure 7 shown, the memory 705, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.
[0051] In Figure 7 the electronic device 700 shown, the user interface 703 is mainly used to provide an input interface for the user to obtain the data input by the user; and the processor 701 can be used to call the interactive application program based on image generation stored in the memory 705, and specifically perform the following operations: distinguish the active components and passive components in the electric drive system, and establish a test platform for the radiated emission of the electric drive system; independently measure the passive components through the test platform to generate a passive S-parameter matrix; measure the electric drive system through the test platform to generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; convert the passive S-parameter matrix and the active S-parameter matrix into a Z-parameter matrix, select the corresponding equivalent circuit topology based on the Z-parameter matrix, and fit the model in combination with a preset algorithm.
[0052] This application also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. Among them, the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.
[0053] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0054] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0055] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.
[0056] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0057] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.
[0058] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned memory includes: various media such as USB flash drives, read-only memories (ROM), random access memories (RAM), external hard drives, magnetic disks, or optical discs that can store program codes.
[0059] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs, etc.
[0060] The specific embodiments of this specification have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.
Claims
1. A method for component modeling in the radiation emission simulation of an electric drive system, the method comprising: Distinguish active components and passive components in the electric drive system, and establish a test platform for the radiation emission of the electric drive system; Independently measure the passive components through the test platform to generate a passive S-parameter matrix; Measure the electric drive system through the test platform to generate an S-parameter matrix, and separate the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; Convert the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices, select corresponding equivalent circuit topologies based on the Z-parameter matrices, and fit the model in combination with a preset algorithm.
2. The method according to claim 1, wherein The test platform includes: A vector network analyzer and a fixture; The step of independently measuring the passive components through the test platform to generate a passive S-parameter matrix includes: Connect the input / output terminals of the passive component to the vector network analyzer through the fixture, and connect the RF port of the fixture to the measurement channel of the vector network analyzer; Send sweep frequency information to the passive component through the vector network analyzer, record the reflection and transmission characteristics of the passive component, and generate the passive S-parameter matrix.
3. The method according to claim 2, wherein The method further includes: Eliminating the influence of the filter circuit in the fixture; The step of eliminating the influence of the filter circuit in the fixture includes: Measuring the fixture S-parameter matrix of the filter circuit in the fixture, and separating the passive S-parameter matrix and the fixture S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; Or, converting the fixture S-parameter matrix into a fixture Z-parameter matrix, and separating the fixture Z-parameter matrix from the Z-parameter matrix.
4. The method according to claim 1, wherein The step of converting the passive S-parameter matrix and the active S-parameter matrix into Z-parameter matrices includes: Obtain the unit matrix and impedance matrix of the test platform, substitute the passive S-parameter matrix, the active S-parameter matrix, the unit matrix and the impedance matrix into the conversion formula, and calculate the Z-parameter matrix; The conversion formula includes: Among them, is the Z-parameter matrix, is the impedance matrix, is the identity matrix, is a passive S-parameter matrix or an active S-parameter matrix.
5. The method according to claim 1, wherein The step of selecting corresponding equivalent circuit topologies based on the Z-parameter matrices and fitting the model in combination with a preset algorithm includes: Select the equivalent circuit topologies corresponding to the passive components and the active components, define an initial model based on the equivalent circuit topologies, input the Z-parameter matrix into the initial model, adjust the component values of the passive components and the active components, and perform iterative optimization on the model to output the fitted equivalent circuit model.
6. The method according to claim 1, wherein The passive components include: motors, battery packs; The active components include: power inverters.
7. A component modeling system for the radiation emission simulation of an electric drive system, characterized in that, The system includes; A platform module for distinguishing active components and passive components in the electric drive system and establishing a test platform for the radiation emission of the electric drive system; A first measurement module for independently measuring the passive components through the test platform to generate a passive S-parameter matrix; A second measurement module for measuring the electric drive system through the test platform to generate an S-parameter matrix, and separating the passive S-parameter matrix from the S-parameter matrix to generate an active S-parameter matrix; A conversion module, configured to convert the passive S-parameter matrix and the active S-parameter matrix into a Z-parameter matrix, select a corresponding equivalent circuit topology based on the Z-parameter matrix, and fit a model in combination with a preset algorithm.
8. The system according to claim 7, wherein The test platform includes: a vector network analyzer and a fixture: A connection module, configured to connect the input / output terminals of the passive component to the vector network analyzer through the fixture, and connect the RF port of the fixture to the measurement channel of the vector network analyzer; A frequency-sweeping module, configured to send frequency-sweeping information to the passive component through the vector network analyzer, record the reflection and transmission characteristics of the passive component, and generate the passive S-parameter matrix.
9. An electronic device, comprising a processor and a memory; The processor is connected to the memory; The memory is configured to store executable program code; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute the method according to any one of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method according to any one of claims 1-6 is implemented.