High-power isolation type bidirectional DC-DC converter digital twin system and method

Abstract

The invention belongs to the field of digital twinning of power electronic equipment, and discloses a high-power isolation type bidirectional DC-DC converter digital twinning system and method. Comprising a physical IBDC converter, a data sampling system, an information interaction system, a converter DSP controller system, a twin DT-IBDC converter system, a model fusion system, an FPGA real-time calculation simulation system and a data visualization system. The method has important significance on IBDC converter state monitoring, fault diagnosis, performance optimization and full life cycle health management, can be widely applied to various types of IBDC converter systems, and has important application value and economic benefit.

Description

Technical Field

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

[0002] Due to its compact structure, high flexibility, ZVS characteristics and current isolation ability, high-power isolated bidirectional DC-DC converters play an increasingly important role in the energy field, such as on-board chargers, DC microgrids, energy storage systems, etc. During operation, affected by functional and environmental stresses, the converter system may fail, and the state monitoring, diagnosis and control of IBDC converters have become hot research issues. Digital twin is a virtual mapping of physical entities, providing a possible solution for the state monitoring, diagnosis and control of IBDC converters. The twin DT-IBDC converter system can work in parallel with the physical IBDC converter system, dynamically track the parameter changes of the physical IBDC converter system in real time, realize real-time online monitoring, diagnosis and control of the physical IBDC converter, and is of great significance for the performance optimization, remaining life prediction and full-life cycle health management of IBDC converters. Summary of the Invention

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

[0004] The present invention provides a digital twin system for a high-power isolated bidirectional DC-DC converter, 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 and 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] The physical IBDC converter includes two types of IBDC converters, a resonant type and a non-resonant type, where 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 different sensors, using different types of sensors to collect multi-source heterogeneous data, obtaining the working parameters of the physical IBDC converter entity, and serving as the data source for the twin DT-IBDC converter system.

[0008] Preferably, the information interaction system transmits the working 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, realizes wired or wireless information transmission, and receives control signals sent by the control system.

[0009] Preferably, 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-based, data-based, or mechanism-data hybrid-driven modeling methods, includes knowledge-driven, data-driven, or knowledge-data hybrid-driven dynamic digital models, obtains the operating state parameters and key performance indicators of the physical IBDC converter in real time, tracks the parameter changes of the physical IBDC converter, and predicts the performance degradation degree and remaining life of the physical IBDC converter;

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

[0011] Preferably, the model fusion system is a soft system that fuses the calculation results of the twin DT-IBDC converter system with intelligent algorithms, uses intelligent algorithms to estimate the system operating state, identifies model parameters, and serves as a feedback unit to dynamically update and compensate the twin DT-IBDC converter model, and real-time tracks and dynamically adjusts control parameters.

[0012] Preferably, the FPGA real-time computing and simulation system has multiple CPUs, can synchronously execute multiple tasks in real time, can perform high-speed signal processing and computing, can run the digital model of the twin DT-IBDC converter system in real time, is the carrier of the twin DT-IBDC converter system, and at the same time serves as an alternative controller for the converter DSP controller;

[0013] Based on the output data of the twin DT-IBDC converter system, when the converter DSP controller failure signal is detected by the twin DT-IBDC converter system, the FPGA controller replaces the converter DSP controller as a new controller in real time to ensure the normal operation of the physical IBDC converter system, and is a redundant alternative system for the converter DSP controller system.

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

[0015] The present invention also provides a digital twin method for a high-power isolated bidirectional DC-DC converter, which is implemented by using the high-power isolated bidirectional DC-DC converter digital twin system described in any one of the above, and the method includes:

[0016] The working parameters of the physical IBDC converter entity are collected in real time by the data acquisition system and transmitted 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 fuses the calculation results of the twin DT-IBDC converter system with the intelligent algorithm, uses the intelligent algorithm to estimate the system operating state in real time, identify the model parameters, and as a feedback unit, updates and compensates the twin DT-IBDC converter system to obtain the required control parameters;

[0018] The FPGA real-time computing and 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) A digital twin system and method for a high-power isolated bidirectional DC-DC converter (IBDC) for state monitoring, diagnosis, and control provided by the present invention is a digital twin technology for complex power electronic devices of IBDC converters, which can realize the state monitoring, diagnosis, and control of IBDC, and provide a practical solution for the state monitoring, fault diagnosis, control, performance optimization, remaining life prediction, and full-life cycle management of IBDC converters. It fully considers the multi-physical field coupling characteristics and the model fusion mechanism, and has important application value and economic benefits.

[0021] (2) A digital twin system and method for a high-power isolated bidirectional DC-DC converter (IBDC) for state monitoring, diagnosis, and control provided by the present invention provides a novel and efficient method for state monitoring, diagnosis, and control of IBDC converters, and provides an effective solution for improving the stability and reliability of IBDC. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments are briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0023] Figure 1 It is the architecture diagram of the DT-IBDC system of the embodiment of the present invention;

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

[0025] Figure 3 System working flowchart according to an embodiment of the present invention;

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

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

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

[0029] Figure 7 Comparison diagram of the output results of the physical IBDC converter and the twin DT-IBDC according to an embodiment of the present invention;

[0030] Figure 8 Output voltage of the system when simulating a fault of the DSP controller of the converter according to an embodiment of the present invention. Detailed implementation manners

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

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

[0033] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0034] Embodiment 1

[0035] As Figure 1 shown, the embodiment of the present invention provides a digital twin system of a high-power isolated bidirectional DC-DC converter (IBDC) for state monitoring, diagnosis and control, including 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 and simulation system, and a data visualization system. The working parameters of the physical IBDC converter collected by the sampling circuit and the sensor in real time are transmitted to the twin DT-IBDC converter system through the information interaction system, dynamically tracking the changes of the physical IBDC converter system in real time, and realizing real-time online monitoring, diagnosis and control of the physical IBDC converter.

[0036] Among them, as Figure 2 shown, it is the functional and logical structure diagram of the physical IBDC converter, which is composed of the IBDC converter main circuit (CLLLC, DAB), the drive circuit, the auxiliary power supply, the sampling circuit, the signal conditioning circuit, etc. It is a complex power electronic converter, including two types of IBDC converters: resonant type and non-resonant type. Among them, the resonant type is a bidirectional CLLLC converter, and the non-resonant type is a bidirectional dual active bridge (DAB) converter. Among them, the drive circuit is a full-bridge switch tube control circuit, the sampling circuit includes a current sampling and a voltage sampling circuit, the signal conditioning circuit changes the data collected by the sampling circuit into a standard signal and inputs it into the converter DSP controller system, and the auxiliary power supply supplies power to the drive circuit and the operational amplifier, etc.

[0037] The data acquisition system includes a sampling circuit, a data acquisition device (DAQ), and various different sensors, which collect multi-source heterogeneous data by using different types of sensors, obtain the working parameters of the physical IBDC converter, and serve as the data source of the twin DT-IBDC system.

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

[0039] The twin DT-IBDC converter system is an accurate real-time digital mapping of the physical IBDC converter. It digitizes the physical IBDC converter through modeling, including dynamic digital models driven by knowledge / mechanism, data, or mechanism-data hybrid. It can obtain the operating state parameters and key performance indicators of the physical IBDC converter in real time, closely track the parameter changes of the physical IBDC converter, predict the performance degradation degree and remaining life of the physical IBDC converter. The twin DT-IBDC converter system can detect faults in the converter DSP controller system in real time and replace it with an FPGA controller to ensure the normal operation of the system.

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

[0041] The FPGA real-time computing and simulation system is a high-performance computing and simulation system with multiple CPUs. It can synchronously execute multiple tasks in real time, 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 an alternative controller for the converter DSP controller.

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

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

[0044] Specifically, as Figure 3 shown, it is the system flow chart. According to the system flow chart, the following implementation method can be used for digital twin of the IBDC converter:

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

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

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

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

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

[0050] The FPGA real-time computing and simulation system is a high-performance computing and simulation system. Its characteristics are that it has multiple CPUs, can synchronously execute multiple tasks in real time, has a high-speed real-time processing system, is the carrier for the operation of the twin DT-IBDC converter, and also has a control function for high-speed signal processing and calculation. Refer to Figure 1 structure.

[0051] The FPGA controller receives the feedback control parameters and serves as an alternative control unit in case of failure of the converter DSP controller. When the converter DSP controller fails or malfunctions, the system switches to the FPGA controller, which replaces the converter DSP controller to provide control signals to the IBDC converter drive circuit, thus ensuring the normal operation of the system, such as Figure 6 , Figure 7 , Figure 8 shown.

[0052] Finally, the visualization system displays various data to the user through the GUI interface, which can be one-dimensional, two-dimensional or three-dimensional. Its platform can be the WEB side or the PC side, and is not limited to the development language and platform.

[0053] In this technical solution, a twin DT-IBDC converter system is first constructed. The operating parameters of the physical IBDC converter collected in real time by the sampling circuit or data acquisition device are transmitted to the twin DT-IBDC converter through the 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. It is of great significance for the state monitoring, fault diagnosis, performance optimization and full-life-cycle health management of the IBDC converter, and can be widely applied to various types of IBDC converter systems, with important application value and economic benefits.

[0054] Embodiment 2

[0055] The present invention also provides a digital twin method for a high-power isolated bidirectional DC-DC converter, which is implemented by using the high-power isolated bidirectional DC-DC converter digital twin system described in any one of the above. The method includes: The physical IBDC converter is the main body to be monitored, diagnosed and controlled. Then, the operating parameters of the physical IBDC converter are collected in real time by the data acquisition system, and various data are transmitted 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 maps the operating state of the physical IBDC converter system in real time according to the collected operating parameters, closely tracks the system changes, and dynamically updates the system model. At the same time, the model fusion system fuses the calculation results (resonant inductor current, resonant capacitor voltage and output voltage data) of the twin DT-IBDC converter system with the intelligent algorithm, uses the intelligent algorithm to estimate the system operating state in real time, identify the model parameters, and updates and compensates the twin DT-IBDC converter system model as a feedback unit to obtain the required control parameters. The FPGA real-time calculation and simulation system is a high-performance calculation and simulation platform and has a control system function, providing a platform for the operation of the twin DT-IBDC system. The FPGA controller is an alternative controller system for the converter DSP controller system, providing effective control when the physical IBDC converter DSP controller system fails or malfunctions, ensuring the normal operation of the system. Finally, the data visualization system visualizes the key parameters, operating state and other necessary data of the physical IBDC converter, and provides a corresponding human-computer interaction interface.

[0056] Embodiment 3

[0057] The high-power isolated bidirectional DC-DC converter in this embodiment is a CLLLC-IBDC Converter, and the topological structure is as shown in the appendix Figure 2 shown, and the technical parameters are: V 1 = 400v, V 2= 250 - 450V, and the switching frequency is 50 - 200kHz.

[0058] Refer to the appendix Figure 3 , Figure 3 Exemplarily, the main steps of a digital twin method for an IBDC converter for state monitoring, diagnosis, and control in this embodiment are given. As Figure 3 shown, a digital twin method for an IBDC converter for state monitoring, diagnosis, and control in this embodiment includes the following steps:

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

[0060] Step 2: Build a mathematical model of the physical IBDC Converter. Perform modeling, solution, and data processing in the FPGA real-time computing and simulation system to map the physical IBDC Converter entity.

[0061] Step 3: Based on the physical entity of the IBDC Converter, build a mechanism model of the IBDC Converter. Through mechanism modeling, the physical characteristics of the components can be mapped. Establish its state space equation according to the topology structure and working principle of the IBDC Converter That is, the converter mechanism model:

[0062]

[0063] Among them, i Lr1 , i Lr2 are the primary and secondary resonant inductor currents respectively, v Cr1 , v Cr2 are the primary and secondary resonant capacitor voltages respectively, i Lr1 , i Lr2 are the primary and secondary resonant inductors respectively, L m is the exciting inductor, C r1 , C r2 are the primary and secondary resonant capacitors respectively, C o is the output side capacitor, and n is the transformer turns ratio.

[0064] Step 4: Solve the IBDC Converter mechanism model. Use the following classical numerical algorithm to perform discrete numerical solution of the state equation, and conduct numerical iterative calculation in the FPGA real-time computing and simulation system. Map the operation process of the physical IBDC Converter by solving the state equation.

[0065] x i (k + 1) = x i (k) + h / 6(k i1 + 2k i2 + 2k i3 + k i4 ), i = 1, 2, …, 5

[0066]

[0067] where h is the step size, x i (k + 1) is the value at the next moment, x i (k) is the value at the current moment, k i1 ~k i4 is the average rate of change between the k-th step and the (k + 1)-th step.

[0068] Due to the influence of parasitic parameters in circuit components and environmental factors, etc., the IBDC Converter mechanism model cannot completely and faithfully map the behavior of the physical converter entity. There is a certain error between the operation data of the mechanism model and the physical entity, which cannot meet the fidelity characteristics of the digital twin model. Therefore, it is necessary to construct a mechanism-data hybrid-driven twin DT-IBDC Converter model.

[0069] Step 5: Construct the twin DT-IBDC Converter. Construct the following objective function based on the difference between the output of the mechanism model and the output of the physical converter:

[0070]

[0071] where i Lri 、v Cri are the resonant inductor current and resonant capacitor voltage measured from the physical converter respectively, i DT_Lri 、v DT_Cri are the resonant inductor current and resonant capacitor voltage calculated from the mechanism model respectively, N is the sample size of the sampled data, and k is the k-th data.

[0072] 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 exciting inductor, the primary and secondary resonant capacitors, the output filter capacitor, and the output load, i.e.: P = {C r1 ;C r2 ;Lr1 ; L m ; L r2 ; C o ; R Load}。The parameter set P is updated using the following formula:

[0073]

[0074] where j represents the particle, i is the iteration number, ω i-1 is the learning factor, V i，j is the velocity of the j-th particle in the i-th iteration, P G is the global optimal position, P L，i-1，j is the individual optimal of the j-th particle in the (i - 1)-th iteration, P i-1,j is the position of the j-th particle in the (i - 1)-th iteration, P i,j is the position of the j-th particle in the i-th iteration; c 1 and c 2 are the weight factors.

[0075] Step 7, the model fusion uses the data from the physical IBDC Converter entity and the IBDC Converter mechanism model, and performs update iteration operations using the particle swarm optimization algorithm. 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 is, the smaller the difference between the twin model and the physical model.

[0076] Finally, the optimal parameter set P is substituted into the twin DT-IBDC Converter, and the resonant inductor current i DT_Lr1 , i DT_Lr2 , the resonant capacitor voltage v DT_Cr1 , v DT_Cr2 and the output voltage v DT_Co data calculated by the twin DT-IBDC Converter are output. These data can be used to monitor, analyze, diagnose and control the operating state of the physical IBDC Converter. As Figure 7 shown, the twin DT-IBDC Converter can well map the operating characteristics of the converter physical system.

[0077] When the twin DT-IBDC Converter deployed in the FPGA real-time computing simulation system detects that the control signal of the converter DSP controller fails, the FPGA controller will replace the converter DSP controller to issue a control signal to ensure the normal operation of the system. As Figure 8 shown, when simulating the system output voltage when the converter DSP controller fails and is controlled by the FPGA controller, the system can operate normally.

[0078] Embodiments of the present 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 the present disclosure shall be included within the protection scope of the present 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 entity 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 of IBDC converters: resonant type and non-resonant type. 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. Different types of sensors are used to collect multi-source heterogeneous data and obtain the working parameters of the physical IBDC converter entity as the data source of the twin DT-IBDC converter system.

4. The system according to claim 1, characterized in that The information interaction system transmits the working 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, realizes wired or wireless information transmission, and receives control signals from 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 a modeling method driven by mechanism, data, or a combination of mechanism and data. It includes a dynamic digital model driven by knowledge, data, or a combination of knowledge and data. It can obtain 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 and remaining life of the physical IBDC converter. The twin DT-IBDC converter system detects converter DSP controller system failures 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 soft system that integrates the calculation results of the twin DT-IBDC converter system with the intelligent algorithm, uses the intelligent algorithm to estimate the system operation status, identifies the model parameters, and acts as a feedback unit to dynamically update and compensate the twin DT-IBDC converter model, and track and dynamically adjust the 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 and 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 substitute controller for the converter DSP controller. Based on the output data of the twin DT-IBDC converter system, when the twin DT-IBDC converter system detects a failure signal of the converter DSP controller, the FPGA controller replaces the converter DSP controller as a new controller in real time to ensure 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 Data visualization system is a visual human-computer interaction system based on B / S or C / S architecture.

9. A high-power isolated bidirectional DC-DC converter digital twin method, implemented by using the high-power isolated bidirectional DC-DC converter digital twin system according to any one of claims 1 to 8, characterized in that: The method comprises: The data acquisition system is used to collect the working parameters of the physical IBDC converter entity in real time, and the parameters are transmitted 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, and realizes the real-time online monitoring, diagnosis and control of the physical IBDC converter entity. At the same time, the model fusion system integrates the calculation results of the twin DT-IBDC converter system with the intelligent algorithm, uses the intelligent algorithm to estimate the system operation status in real time, identifies the model parameters, and acts 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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