Digital twin system and method for high-power isolated bidirectional DC-DC converter

Abstract

The present invention belongs to the field of digital twins for power electronic equipment. Disclosed are a digital twin system and method for a high-power isolated bidirectional DC-DC converter (IBDC). The system comprises a physical IBDC, a data sampling system, an information interaction system, a converter DSP controller system, a twin DT-IBDC system, a model fusion system, an FPGA real-time computing and simulation system, and a data visualization system. The present invention is of great significance for state monitoring, fault diagnosis, performance optimization and full-life-cycle health management of the IBDC, can be widely applied to various types of IBDC systems, and has important application value and economic benefits.

Description

A digital twin system and method for a high-power isolated bidirectional DC-DC converter Technical Field

[0001] This invention relates to the field of digital twins for power electronic equipment, and specifically to a digital twin system and method for a high-power isolated bidirectional DC-DC converter. Background Technology

[0002] High-power isolated bidirectional DC-DC converters (IBDC converters) are playing an increasingly important role in the energy sector due to their compact structure, high flexibility, ZVS characteristics, and current isolation capabilities, such as in on-board chargers, DC microgrids, and energy storage systems. During operation, they are susceptible to functional and environmental stresses, which may lead to converter system failures. Therefore, condition monitoring, diagnosis, and control of IBDC converters have become a hot research topic. Digital twins, which are virtual mappings of physical entities, offer a possible solution for condition monitoring, diagnosis, and control of IBDC converters. A digital twin (DT-IBDC) converter system can work in parallel with the physical IBDC converter system, dynamically tracking changes in the physical IBDC converter system parameters in real time. This enables real-time online monitoring, diagnosis, and control of the physical IBDC converter, which is of great significance for IBDC converter performance optimization, remaining lifetime prediction, and full lifecycle health management. Summary of the Invention

[0003] To address the above technical problems, this invention provides a high-power isolated bidirectional DC-DC converter digital twin system and method, enabling the monitoring, diagnosis, and control of complex power electronic equipment.

[0004] This invention provides a high-power isolated bidirectional DC-DC converter digital twin system, the system comprising: a physical IBDC converter entity, a data acquisition system, an information interaction system, a converter DSP controller system, a twin DT-IBDC converter system, a model fusion system, an FPGA real-time computing simulation system, and a data visualization system.

[0005] Preferably, the physical IBDC converter entity consists of an IBDC converter main circuit, a drive circuit, an auxiliary power supply, a sampling circuit, a signal conditioning circuit, and a converter DSP controller system;

[0006] Physical IBDC converters include two types: resonant and non-resonant. The resonant type is a bidirectional CLLLC converter, and the non-resonant type is a bidirectional dual active bridge DAB converter.

[0007] Preferably, the data acquisition system includes a sampling circuit, a data acquisition device (DAQ), and various sensors. Different types of sensors are used to collect multi-source heterogeneous data to obtain the operating parameters of the physical IBDC converter entity, which serve as the data source for the twin DT-IBDC converter system.

[0008] Preferably, the information interaction system transmits the operating parameters and other data of various physical IBDC converter entities collected by the data acquisition system to the twin DT-IBDC converter system using different data transmission protocols, thereby realizing wired or wireless information transmission and receiving control signals issued by the control system.

[0009] Preferably, the twin DT-IBDC converter system is a real-time digital mapping of the physical IBDC converter. The physical IBDC converter is digitized through mechanism-driven, data-driven, or mechanism-data hybrid driving modeling methods. It includes dynamic digital models driven by knowledge, data, or knowledge-data hybrid driving. The system can acquire the operating status parameters and key performance indicators of the physical IBDC converter in real time, track the changes in the parameters of the physical IBDC converter, and predict the performance degradation degree and remaining life of the physical IBDC converter.

[0010] The twin DT-IBDC converter system detects converter DSP controller system faults in real time and replaces them with FPGA controllers.

[0011] Preferably, the model fusion system is a soft system that integrates the calculation results of the twin DT-IBDC converter system with intelligent algorithms. The intelligent algorithms are used to estimate the system's operating state, identify model parameters, and serve as a feedback unit to dynamically update and compensate the twin DT-IBDC converter model, and to track and dynamically adjust control parameters in real time.

[0012] Preferably, the FPGA real-time computing simulation system has multiple CPUs, can execute multiple tasks synchronously in real time, can perform high-speed signal processing and calculation, can run the digital model of the twin DT-IBDC converter system in real time, serves as the carrier of the twin DT-IBDC converter system, and also serves as a replacement controller for the converter DSP controller.

[0013] Based on the output data of the twin DT-IBDC converter system, the FPGA controller replaces the converter DSP controller as the new controller in real time when the twin DT-IBDC converter system detects a failure signal of the converter DSP controller, ensuring the normal operation of the physical IBDC converter system. It is a redundant replacement system for the converter DSP controller system.

[0014] Preferably, the data visualization system is a visualization human-computer interaction system based on a B / S or C / S architecture.

[0015] This invention also provides a digital twin method for a high-power isolated bidirectional DC-DC converter, implemented using any one of the high-power isolated bidirectional DC-DC converter digital twin systems described in this invention. The method includes:

[0016] The data acquisition system collects the operating parameters of the physical IBDC converter entity in real time, and transmits them to the twin DT-IBDC converter system, the converter DSP controller system and the data visualization system through the information interaction system. The twin DT-IBDC converter system dynamically tracks the changes of the physical IBDC converter system in real time, realizing real-time online monitoring, diagnosis and control of the physical IBDC converter entity.

[0017] Meanwhile, the model fusion system integrates the calculation results of the twin DT-IBDC converter system with the intelligent algorithm. The intelligent algorithm estimates the system operating status in real time, identifies model parameters, and serves as a feedback unit to update and compensate the twin DT-IBDC converter system to obtain the required control parameters.

[0018] The FPGA real-time computing simulation system provides a platform for the operation of the twin DT-IBDC converter system.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] (1) The present invention provides a digital twin system and method for a high-power isolated bidirectional DC-DC converter (IBDC) oriented for condition monitoring, diagnosis and control. It is a digital twin technology for complex power electronic equipment for IBDC converters. It can realize condition monitoring, diagnosis and control of IBDC, and provide a realistic and feasible solution for condition monitoring, fault diagnosis, control, performance optimization, remaining life prediction and full life cycle management of IBDC converters. It fully considers the multi-physics coupling characteristics and model fusion mechanism, and has important application value and economic benefits.

[0021] (2) The present invention provides a digital twin system and method for a high-power isolated bidirectional DC-DC converter (IBDC) oriented for condition monitoring, diagnosis and control, which provides a novel and efficient method for IBDC converter condition monitoring, diagnosis and control, and provides an effective solution for improving the stability and reliability of IBDC. Attached Figure Description

[0022] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 is a system architecture diagram of DT-IBDC according to an embodiment of the present invention;

[0024] Figure 2 is a schematic diagram of the physical IBDC converter according to an embodiment of the present invention;

[0025] Figure 3 is a system workflow diagram of an embodiment of the present invention;

[0026] Figure 4 is a model example diagram of the twin DT-IBDC converter according to an embodiment of the present invention;

[0027] Figure 5 is a schematic diagram of the model fusion system according to an embodiment of the present invention;

[0028] Figure 6 is a schematic diagram of the control structure of the twin DT-IBDC converter according to an embodiment of the present invention;

[0029] Figure 7 is a comparison of the output results of the physical IBDC converter and the twin DT-IBDC in an embodiment of the present invention;

[0030] Figure 8 shows the system output voltage when the analog converter DSP controller fails according to an embodiment of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this disclosure should have the ordinary meaning understood by one of ordinary skill in the art to which this disclosure pertains. The terms "first," "second," and similar terms used in the embodiments of this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0033] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0034] Example 1

[0035] As shown in Figure 1, this embodiment of the invention provides a high-power isolated bidirectional DC-DC converter (IBDC) digital twin system for condition monitoring, diagnosis, and control. The system includes a physical IBDC converter entity, a data acquisition system, an information interaction system, a converter DSP controller system, a twin DT-IBDC converter system, a model fusion system, an FPGA real-time computing simulation system, and a data visualization system. The operating parameters of the physical IBDC converter, acquired in real-time by sampling circuits and sensors, are transmitted to the twin DT-IBDC converter system through the information interaction system. This allows for real-time dynamic tracking of changes in the physical IBDC converter system, enabling real-time online monitoring, diagnosis, and control of the physical IBDC converter.

[0036] Figure 2 shows the functional and logical structure diagram of a physical IBDC converter. It consists of the IBDC converter main circuit (CLLLC, DAB), drive circuit, auxiliary power supply, sampling circuit, signal conditioning circuit, etc., and is a complex power electronic converter, including resonant and non-resonant types. The resonant type is a bidirectional CLLLC converter, and the non-resonant type is a bidirectional dual active bridge (DAB) converter. The drive circuit is a full-bridge switching transistor control circuit; the sampling circuit includes current and voltage sampling circuits; the signal conditioning circuit converts the data collected by the sampling circuit into a standard signal input to the converter's DSP controller system; and the auxiliary power supply powers the drive circuit and operational amplifiers.

[0037] The data acquisition system includes sampling circuits, data acquisition equipment (DAQ), and various sensors. It uses different types of sensors to collect multi-source heterogeneous data and obtain the operating parameters of the physical IBDC converter, which serve as the data source for the twin DT-IBDC system.

[0038] The information interaction system transmits various physical IBDC converter operating parameters and other data, such as temperature, collected by the data acquisition system to the DT-IBDC converter system using different (wired or wireless) data transmission protocols, thereby realizing wired or wireless information transmission.

[0039] The twin DT-IBDC converter system is a precise real-time digital mapping of the physical IBDC converter. It digitizes the physical IBDC converter through modeling methods, including dynamic digital models driven by knowledge / mechanism, data, or a hybrid mechanism-data approach. It can acquire the operating status parameters and key performance indicators of the physical IBDC converter in real time, closely track changes in the physical IBDC converter parameters, predict the degree of performance degradation and remaining lifespan of the physical IBDC converter, and detect converter DSP controller system faults in real time and replace them with FPGA controllers to ensure normal system operation.

[0040] The model fusion system is a software system that integrates the calculation results of the twin DT-IBDC converter system with intelligent algorithms. The intelligent algorithms estimate the system's operating state, identify model parameters, and act as a feedback unit to dynamically update and compensate the DT-IBDC model, tracking and dynamically adjusting control parameters in real time.

[0041] An FPGA real-time computing simulation system is a high-performance computing simulation system with multiple CPUs that can execute multiple tasks synchronously in real time. It can perform high-speed signal processing and calculation, and can run the digital model of a twin DT-IBDC converter system in real time. It serves as the carrier of the twin DT-IBDC converter system and also as a replacement controller for the converter's DSP controller.

[0042] Based on the output data of the twin DT-IBDC converter system, the FPGA controller replaces the converter DSP controller as the new controller in real time when the twin DT-IBDC converter system detects a failure signal of the converter DSP controller, ensuring the normal operation of the physical IBDC converter system. It is a redundant replacement system for the converter DSP controller system.

[0043] The data visualization system described is a human-computer interaction visualization system based on a B / S or C / S architecture.

[0044] Specifically, as shown in Figure 3, this is the system flowchart. Based on the system flowchart, the following implementation method can be used to create a digital twin of the IBDC converter:

[0045] First, a mathematical model of the IBDC converter shown in Figure 4 is established, taking the CLLLC-IBDC converter as an example. The converter mathematical model can characterize the physical behavior of the converter and receive data from the physical converter to update the model, thus making it closer to the real physical system.

[0046] Then, key operating parameters of the physical IBDC converter, such as current, voltage, and temperature, are collected through a data acquisition device (DAQ) and a sampling circuit. It should be noted that the data acquisition device here can be a dedicated data acquisition card, other data acquisition modules, or sampling circuits, and is not limited to a specific form.

[0047] Then, data is exchanged with the twin DT-IBDC converter through information interaction systems, such as CAN interface, TCP / IP, WIFI module, etc.

[0048] The twin DT-IBDC converter receives data from the information interaction system in real time, obtains the operating status parameters and key performance indicators of the physical IBDC converter, monitors various parameters of the converter system, dynamically updates the model, and closely tracks changes in the IBDC converter system.

[0049] Meanwhile, the model fusion system uses intelligent algorithms to update the system state variables and fuse them with the mechanism model to obtain the required parameters, as shown in Figure 5.

[0050] The FPGA real-time computing simulation system is a high-performance computing simulation system. It is characterized by having multiple CPUs, which can execute multiple tasks synchronously in real time. It has a high-speed real-time processing system and serves as the carrier for the operation of the twin DT-IBDC converter. It also has control functions and performs high-speed signal processing and calculation, as shown in Figure 1.

[0051] The FPGA controller receives feedback control parameters and serves as a backup control unit in case the converter DSP controller fails. When the converter DSP controller fails or malfunctions, the system switches to the FPGA controller to provide control signals to the IBDC converter drive circuit, thereby ensuring normal system function, as shown in Figures 6, 7, and 8.

[0052] Finally, the visualization system presents various data to the user through a GUI interface, which can be one-dimensional, two-dimensional, or three-dimensional. Its platform can be a web browser or a PC, and it is not limited by development language or platform.

[0053] This technical solution first constructs a twin DT-IBDC converter system. The operating parameters of the physical IBDC converter, which are collected in real time by the sampling circuit or data acquisition equipment, are transmitted to the twin DT-IBDC converter through an information interaction system. The twin DT-IBDC converter dynamically tracks the changes of the physical IBDC converter system in real time, realizing real-time online monitoring, diagnosis, and control of the physical IBDC converter. This is of great significance for IBDC converter status monitoring, fault diagnosis, performance optimization, and full life cycle health management. It can be widely used in various types of IBDC converter systems and has significant application value and economic benefits.

[0054] Example 2

[0055] This invention also provides a digital twin method for a high-power isolated bidirectional DC-DC converter, implemented using any of the high-power isolated bidirectional DC-DC converter digital twin systems described above. The method includes: using the physical IBDC converter as the subject of monitoring, diagnosis, and control; then, using the data acquisition system to collect the operating parameters of the physical IBDC converter in real time; and then transmitting various data to the twin DT-IBDC converter system, the converter DSP controller system, and the data visualization system through an information interaction system. The twin DT-IBDC converter system maps the operating state of the physical IBDC converter system in real time based on the collected operating parameters, closely tracks system changes, and dynamically updates the system model. Simultaneously, the model fusion system integrates the calculation results (resonance voltage) of the twin DT-IBDC converter system. The system integrates data on inductive current, resonant capacitor voltage, and output voltage with intelligent algorithms. These algorithms estimate the system's operating status in real time, identify model parameters, and serve as feedback units to update and compensate the twin DT-IBDC converter system model to obtain the required control parameters. The FPGA real-time computing simulation system, as a high-performance computing simulation platform with control system functions, provides a platform for the operation of the twin DT-IBDC system. The FPGA controller, as a replacement controller system for the converter's DSP controller system, provides effective control when the physical IBDC converter's DSP controller system fails or malfunctions, ensuring normal system operation. Finally, the data visualization system visualizes the key parameters, operating status, and other necessary data of the physical IBDC converter and provides corresponding human-machine interaction interfaces.

[0056] Example 3

[0057] The high-power isolated bidirectional DC-DC converter in this embodiment is a CLLLC-IBDC converter, and its topology is shown in Figure 2. Its technical parameters are: V1 = 400V, V2 = 250~450V, and switching frequency is 50~200kHz.

[0058] Referring to Figure 3, which exemplarily illustrates the main steps of an IBDC converter digital twin method for state monitoring, diagnosis, and control in this embodiment, the method includes the following steps:

[0059] Step 1: Taking the physical IBDC Converter entity of the embodiment as the research object, use a data acquisition device (DAQ) or sampling circuit to collect the operating parameters of the physical IBDC Converter entity circuit, and obtain the physical entity operating parameter data, including: primary and secondary resonant inductor current i Lr1 i Lr2， Primary and secondary resonant capacitor voltage v Cr1 v Cr2 and output voltage v Co .

[0060] Step 2: Construct a mathematical model of the physical IBDC Converter. Modeling, solving, and data processing are performed in the FPGA real-time computing simulation system to map the physical IBDC Converter entity.

[0061] Step 3: Based on the physical entity of the IBDC Converter, construct the IBDC Converter mechanism model. Mechanism modeling allows mapping of the physical characteristics of the components. Establish its state-space equations based on the IBDC Converter's topology and working principle. That is, the converter mechanism model:

[0062] Among them, i Lr1 i Lr2 These are the primary and secondary resonant inductor currents, v. Cr1 v Cr2 These are the primary and secondary resonant capacitor voltages, L and L, respectively. r1 L r2 These are the primary and secondary resonant inductors, L and L, respectively. m For the magnetizing inductance, C r1 C r2 These are the primary and secondary resonant capacitors, C. o is the output capacitor, and n is the transformer turns ratio.

[0063] Step 4: Solve the IBDC Converter mechanism model. Use the following classic numerical algorithm to perform discrete numerical solutions to the state equations, and perform numerical iterative calculations in the FPGA real-time computing simulation system. The operation process of the physical IBDC Converter is mapped by solving the state equations.

[0064] x i (k+1)=x i (k)+h / 6(k i1 +2k i2 +2k i3 +k i4 ), i = 1, 2, ..., 5

[0065] Where h is the step size, x i (k+1) represents the value at the next time step, x i (k) represents the current time value, k i1 ~k i4 Let be the average rate of change for steps (k) and (k+1).

[0066] Due to the influence of parasitic parameters in circuit components and environmental factors, the IBDC Converter mechanism model cannot completely and faithfully map the behavior of the physical converter entity. There is a certain error between the mechanism model and the operating data of the physical entity, which cannot meet the fidelity requirements of the digital twin model. Therefore, it is necessary to construct a mechanism-data hybrid driven twin DT-IBDC Converter model.

[0067] Step 5: Construct a twin DT-IBDC Converter, using the difference between the output of the mechanistic model and the output of the physical converter to build the following objective function:

[0068] Among them, i Lri v Cri The resonant inductor current and resonant capacitor voltage, respectively, are obtained from the physical measurement of the converter. DT_Lri v DT_Cri Let be the resonant inductor current and resonant capacitor voltage calculated by the mechanism model, respectively; N be the sample size of the sampled data; and k be the kth data point.

[0069] Step 6: Extract key parameters for system parameter identification and construct a parameter identification model. The key parameters include the primary and secondary resonant inductors and the magnetizing inductor, the primary and secondary resonant capacitors, the output filter capacitor, and the output load, i.e.: P = {C} r1 C r2 L r1 L m L r2 C o ;R Load The parameter set P is updated using the following formula:

[0070] In the formula, j represents the particle, i is the iteration number, and ω i-1 It is the learning factor, Vi,j Let P be the velocity of the j-th particle in the i-th iteration. G For the globally optimal position, P L,i-1,j For the j-th particle to be the individual optimal in the (i-1)th iteration, P i-1,j Let P be the position of the j-th particle in the (i-1)-th iteration. i,j Let c1 be the position of the j-th particle in the i-th iteration; c1 and c2 are weighting factors.

[0071] Step 7: Model fusion utilizes data from the physical IBDC Converter entity and the IBDC Converter mechanism model, employing a particle swarm optimization algorithm for iterative updates. The optimal parameter set is obtained by minimizing the objective function. As the number of iterations increases, the optimal value of the objective function gradually converges to a stable value; the smaller this value, the smaller the difference between the twin model and the physical model.

[0072] Finally, the optimal parameter set P is substituted into the twin DT-IBDC Converter, and the resonant inductor current i calculated by the twin DT-IBDC Converter is output. DT_Lr1 i DT_Lr2 Resonant capacitor voltage v DT_Cr1 v DT_Cr2 and output voltage v DT_Co This data can be used to monitor, analyze, diagnose, and control the operational status of the physical IBDC Converter. As shown in Figure 7, the twin DT-IBDC Converter can effectively map the operational characteristics of the converter's physical system.

[0073] When the twin DT-IBDC Converter deployed in the FPGA real-time computing simulation system detects a failure in the converter DSP controller's control signal, the FPGA controller will replace the converter DSP controller in issuing control signals to ensure normal system operation. As shown in Figure 8, the system output voltage is controlled by the FPGA controller when the converter DSP controller fails, and the system can operate normally.

[0074] The embodiments of this invention are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this disclosure should be included within the protection scope of this disclosure.

Claims

1. A high-power isolated bidirectional DC-DC converter digital twin system, characterized in that, The system includes: a physical IBDC converter entity, a data acquisition system, an information interaction system, a converter DSP controller system, a twin DT-IBDC converter system, a model fusion system, an FPGA real-time computing simulation system, and a data visualization system.

2. The system according to claim 1, characterized in that, The physical IBDC converter consists of the IBDC converter main circuit, drive circuit, auxiliary power supply, sampling circuit, signal conditioning circuit, and converter DSP controller system. Physical IBDC converters include two types: resonant and non-resonant. The resonant type is a bidirectional CLLLC converter, and the non-resonant type is a bidirectional dual active bridge DAB converter.

3. The system according to claim 1, characterized in that, The data acquisition system includes sampling circuits, data acquisition equipment (DAQ), and various sensors. It uses different types of sensors to collect multi-source heterogeneous data and obtain the operating parameters of the physical IBDC converter entity, which serve as the data source for the twin DT-IBDC converter system.

4. The system according to claim 1, characterized in that, The information interaction system transmits the operating parameters and other data of various physical IBDC converter entities collected by the data acquisition system to the twin DT-IBDC converter system using different data transmission protocols, realizing wired or wireless information transmission, and receiving control signals issued by the control system.

5. The system according to claim 1, characterized in that, The twin DT-IBDC converter system is a real-time digital mapping of the physical IBDC converter. It digitizes the physical IBDC converter through mechanism-driven, data-driven, or mechanism-data hybrid modeling methods, including knowledge-driven, data-driven, or knowledge-data hybrid dynamic digital models. It can acquire the operating status parameters and key performance indicators of the physical IBDC converter in real time, track the changes in the parameters of the physical IBDC converter, and predict the performance degradation degree and remaining life of the physical IBDC converter. The twin DT-IBDC converter system detects converter DSP controller system faults in real time and replaces them with FPGA controllers.

6. The system according to claim 1, characterized in that, The model fusion system is a software system that integrates the calculation results of the twin DT-IBDC converter system with intelligent algorithms. The intelligent algorithms estimate the system's operating state, identify model parameters, and act as a feedback unit to dynamically update and compensate the twin DT-IBDC converter model, tracking and dynamically adjusting control parameters in real time.

7. The system according to claim 1, characterized in that, The FPGA real-time computing simulation system has multiple CPUs, which can execute multiple tasks synchronously in real time. It can perform high-speed signal processing and calculation, and can run the digital model of the twin DT-IBDC converter system in real time. It is the carrier of the twin DT-IBDC converter system and also serves as a replacement controller for the converter DSP controller. Based on the output data of the twin DT-IBDC converter system, the FPGA controller replaces the converter DSP controller as the new controller in real time when the twin DT-IBDC converter system detects a failure signal of the converter DSP controller, ensuring the normal operation of the physical IBDC converter system. It is a redundant replacement system for the converter DSP controller system.

8. The system according to claim 1, characterized in that, A data visualization system is a visual human-computer interaction system based on a B / S or C / S architecture.

9. A digital twin method for a high-power isolated bidirectional DC-DC converter, implemented using the digital twin system of the high-power isolated bidirectional DC-DC converter as described in any one of claims 1-8, characterized in that, The method includes: The data acquisition system collects the operating parameters of the physical IBDC converter entity in real time, and transmits them to the twin DT-IBDC converter system, the converter DSP controller system and the data visualization system through the information interaction system. The twin DT-IBDC converter system dynamically tracks the changes of the physical IBDC converter system in real time, realizing real-time online monitoring, diagnosis and control of the physical IBDC converter entity. Meanwhile, the model fusion system integrates the calculation results of the twin DT-IBDC converter system with the intelligent algorithm. The intelligent algorithm estimates the system operating status in real time, identifies model parameters, and serves as a feedback unit to update and compensate the twin DT-IBDC converter system to obtain the required control parameters. The FPGA real-time computing simulation system provides a platform for the operation of the twin DT-IBDC converter system.

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