Charging pile operation state reproduction method, system and device and medium

Abstract

The invention relates to the technical field of charging piles, and discloses a charging pile operation state reproduction method, system, equipment and medium, and the method comprises the steps: constructing a three-in-one adjustable working condition simulation system of a power grid side-load side-fault side, and sequentially executing the steps of demand modeling, module design, calibration debugging, performance verification and the like. A DSP + FPGA dual-core controller and a closed-loop control algorithm are adopted, high-precision sensing and error compensation are combined, and accurate and rapid reproduction of voltage fluctuation, harmonic waves, three-phase imbalance, dynamic loads and various fault scenes is achieved. According to the method, the test coverage rate and reproduction fidelity are remarkably improved, and the method is suitable for research, development, detection and operation and maintenance verification of various alternating-current and direct-current charging piles.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging piles, in particular to a charging pile operation state reproduction method, system, device and medium. BACKGROUND

[0002] With the rapid development of new energy vehicle industry, AC / DC charging piles as core supporting infrastructure have been widely used in public charging stations, residential areas, commercial parks and other scenarios. In the process of commercial operation, the stable operation ability and fault tolerance ability of charging piles directly affect the charging safety and user experience, therefore, the performance of charging piles under complex working conditions needs to be comprehensively tested at each stage of charging facility technology research and development, factory detection and on-site operation and maintenance to ensure that it meets the relevant requirements of the state and industry.

[0003] The complexity of charging facility on-site operation working conditions mainly reflects in three aspects: first, there are problems such as voltage fluctuation, frequency deviation, harmonic pollution and three-phase imbalance on the power grid side, affected by factors such as regional power grid load change and power equipment start-stop, the voltage fluctuation range can reach ±15%, and the total harmonic distortion (THD) is highest over 20%; second, the load side presents dynamic and variable characteristics, the SOC state of new energy vehicle power battery and different charging demands lead to sudden changes in load power, and the load types cover resistance, inductance, capacitance and mixed characteristics, further increasing the reproduction difficulty; third, faults such as overvoltage, undervoltage, overcurrent, short circuit and communication interruption easily occur on site, the fault triggering time and duration are irregular, and the protection response performance of charging piles needs to be verified by accurate reproduction.

[0004] At the same time, the existing charging pile operation state reproduction device has many problems such as single reproduction dimension, low reproduction accuracy, dynamic response lag, unreasonable selection and integration design of core components, etc., which is difficult to meet the needs of accurate reproduction of complex operation state of charging piles, and further cannot provide comprehensive, accurate and actual test environment and equipment for researchers, therefore, it is urgent to develop a multi-dimensional, high-precision and high-reliability AC / DC charging pile operation state reproduction device test method with wide compatibility. SUMMARY

[0005] In view of the above existing problems, the present application provides a charging pile operation state reproduction method, system, device and medium.

[0006] Therefore, the technical problem solved by the present application is that the existing charging pile test device cannot comprehensively, accurately and dynamically reproduce the real complex operation working conditions.

[0007] To address the aforementioned technical problems, this invention provides the following technical solution: a method for reproducing the operating status of a charging pile, comprising: collecting and confirming the target charging pile type, rated parameters, and reproduction scenario indicators, and establishing a corresponding mathematical model; based on the mathematical model, constructing a core functional module including power conversion, load simulation, and control calculation, selecting and integrating corresponding core components to construct a device hardware platform; calibrating sensors, load modules, and control algorithms, and establishing an error compensation model; performing layered integration and debugging, sequentially completing unit-level, system-level, and communication debugging, and testing the device's performance under different set operating conditions; optimizing the device based on the test results, and achieving accurate reproduction of the operating conditions on the grid side, load side, and fault side through a closed-loop control algorithm.

[0008] As a preferred embodiment of the charging pile operation state reproduction method described in this invention, the establishment of the corresponding mathematical model includes simulating voltage fluctuations, harmonic distortions and three-phase imbalance conditions on the power grid side by establishing a voltage fluctuation model, a harmonic injection model and a three-phase imbalance calculation model.

[0009] As a preferred embodiment of the charging pile operation state reproduction method described in this invention, when establishing a mathematical model for simulating the grid-side operating conditions, a static impedance model, a dynamic load step model, and a power battery charging characteristic model are also established simultaneously to simulate the static and dynamic load characteristics of the load side and the charging behavior of the power battery.

[0010] As a preferred embodiment of the charging pile operation state reproduction method described in this invention, when establishing a mathematical model for simulating load-side characteristics, an adjustable voltage and current threshold model and a short-circuit impedance model are also set to simulate overvoltage, undervoltage, overcurrent and short-circuit fault scenarios on the fault side.

[0011] As a preferred embodiment of the charging pile operation status reproduction method of the present invention, the reproduction indicators include grid-side reproduction indicators, load-side reproduction indicators and fault-side reproduction indicators. The grid-side reproduction indicators include voltage fluctuation, harmonic distortion, and three-phase imbalance. The voltage fluctuation simulation formula is for the AC side: in, This is the instantaneous value of the AC side output voltage. This is the effective value of the rated voltage on the AC side. For fluctuation coefficient, For wave waveform function, , The fundamental wave has an initial phase, and t is a time variable. DC side: in, This is the instantaneous value of the DC-side output voltage. This is the rated voltage on the DC side; The formula for harmonic distortion is: in, This is the instantaneous value of the output voltage. This is the effective value of the fundamental voltage. This represents the effective value of the nth harmonic voltage, where n is the harmonic order. The initial phase of the nth harmonic. This represents the total harmonic distortion (THD) of the voltage. The formula for three-phase unbalance is: in, This refers to the three-phase voltage imbalance. It is the maximum value among the three-phase voltages. It is the minimum value among the three-phase voltages. This represents the average value of the three-phase voltage.

[0012] As a preferred embodiment of the charging pile operation state reproduction method described in this invention, the load-side reproduction indicators include static load, dynamic load, and power battery simulation; the AC RLC load impedance formula is as follows: in, The total impedance of the load. The resistance component of the load. For the inductive reactance of the load, Capacitive reactance of the load, The inductance value of the load. This is the capacitance value of the load; The formula for dynamic load mutation is: in, It is a function of load power as a function of time. The steady-state power before the mutation. The magnitude of the power surge. It is a unit step function. This is the trigger moment for a power surge; The formula for simulating the charging current of a power battery is: in, The charging current requested by the simulated power battery. This serves as the reference value for setting the charging current. The coefficient of change of current-SOC is denoted as . These are simulated values ​​for the battery's state of charge, with a simulation range of 0% to 100%. The fault reproduction indicators include overvoltage / undervoltage, overcurrent, short circuit, and communication interruption. The overvoltage / undervoltage threshold formula is: in, This is the overvoltage protection threshold voltage. The system's rated voltage. This is the voltage deviation coefficient. This is the undervoltage protection threshold voltage; The overcurrent threshold formula is: in, The overcurrent protection threshold current, Rated operating current, The current coefficient; The formula for short-circuit current is: in, This is the short-circuit fault current. The input voltage before the fault point. For short-circuit resistance, This represents the line resistance.

[0013] In a preferred embodiment of the charging pile operation status reproduction method described in this invention, the sensor includes components calibrated using a standard signal source and an error compensation model established. in, This is the gain coefficient. This is the offset. The output value after compensation. These are the original measurements from the sensor; The formula for voltage / current reproduction accuracy is: in, This represents the relative error in voltage reproduction. This is the actual measured voltage value. For voltage setting value, This represents the relative error in current reproduction. This is the actual measured current value. Set the current value; The formula for power reproduction accuracy is: in, The relative error in power reproduction, This is the actual measured power value. This is the power setting value.

[0014] This invention provides a charging pile operation status reproduction system.

[0015] As a preferred embodiment of the charging pile operation status reproduction system of the present invention, it includes a power conversion module, a load simulation module, a control and processing module, and a heat dissipation and protection module. The power conversion module is used to generate and adjust the voltage and current output required for the test according to the set parameters; The load simulation module is used to simulate various static, dynamic and nonlinear load characteristics to reproduce the on-site load conditions of the charging pile. The control and processing module is used to execute control algorithms, process sensor data, manage fault triggering, and coordinate the work of various modules. The heat dissipation protection module is used to provide heat dissipation for the core power devices of the system and to achieve electrical safety protection and electromagnetic compatibility.

[0016] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a method for reproducing the operating state of a charging pile.

[0017] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a method for reproducing the operating state of a charging pile.

[0018] The beneficial effects of this invention are as follows: This invention innovatively constructs a three-in-one operating condition simulation system encompassing the "grid side - load side - fault side," which can simultaneously reproduce grid characteristics such as voltage fluctuations, harmonic distortion, and three-phase imbalance; load characteristics such as static / dynamic loads, RLC hybrid loads, and power battery simulations; and fault scenarios such as overvoltage / undervoltage, overcurrent / short circuit, and communication interruptions. Through precise quantitative modeling, operating condition parameters are adjustable, comprehensively covering the complex scenarios that may be encountered in charging pile sites, significantly improving test completeness. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0020] Figure 1 This is a schematic diagram of a method for reproducing the operating status of a charging pile according to an embodiment of the present invention.

[0021] Figure 2 A simplified flowchart of the requirements breakdown and module design for a charging pile operation status reproduction method provided in one embodiment of the present invention.

[0022] Figure 3 This is a simplified flowchart of component selection and assembly for a method of reproducing the operating status of a charging pile, provided as an embodiment of the present invention.

[0023] Figure 4 This invention provides a simplified process for hierarchical integration and debugging of a method for reproducing the operating status of a charging pile, as described in one embodiment of the present invention.

[0024] Figure 5 A simplified flowchart for performance verification and optimization of a charging pile operation state reproduction method provided in one embodiment of the present invention. Detailed Implementation

[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0026] Example 1, the first embodiment of the present invention, provides a method for reproducing the operating state of a charging pile, including: S1: Collect and confirm the target charging pile type, rated parameters, and reproducible scenario indicators, and establish the corresponding mathematical model.

[0027] S2: Based on the mathematical model, construct core functional modules that include power conversion, load simulation and control calculation, and select and integrate corresponding core components to build a device hardware platform.

[0028] S3: Calibrate the sensors, load modules, and control algorithms, and establish an error compensation model; perform layered integration and debugging, completing unit-level, system-level, and communication debugging in sequence, and testing the device's performance under different set operating conditions.

[0029] S4: Optimize the device based on the test results and achieve accurate reproduction of the operating conditions on the grid side, load side and fault side through closed-loop control algorithm.

[0030] It should be noted that, compared with the existing devices that suffer from problems such as "single reproduction dimension, low accuracy, and lagging dynamic response", this method constructs a three-in-one integrated reproduction system with adjustable parameters, encompassing the "grid side-load side-fault side". It also adopts a systematic design including DSP+FPGA dual-core control, high-precision sensing and error compensation, and composite heat dissipation and protection. This enables high-precision, fast-response, and programmable reproduction of voltage fluctuations, harmonics, load abrupt changes, battery charging characteristics, and various fault scenarios. As a result, it provides a more comprehensive, realistic, and reliable testing environment for the research, development, testing, and maintenance of charging piles, significantly improving test coverage and the validity of results.

[0031] Example 2, refer to Figure 1 - Figure 5 As an embodiment of the present invention, based on the above embodiment, a method for reproducing the operating status of a charging pile is provided.

[0032] Furthermore, in this embodiment of the application, step S1 involves collecting and confirming the target charging pile type, rated parameters, and reproducible scenario indicators, and establishing a corresponding mathematical model. Specific steps include: The grid-side reproduction indicators include voltage fluctuation, harmonic distortion, and three-phase imbalance. The voltage fluctuation simulation formula is for the AC side: in, This is the instantaneous value of the AC side output voltage. This is the effective value of the rated voltage on the AC side. For fluctuation coefficient, For wave waveform function, , The fundamental wave has an initial phase, and t is a time variable. DC side: in, This is the instantaneous value of the DC-side output voltage. This is the rated voltage on the DC side; The formula for harmonic distortion is: in, This is the instantaneous value of the output voltage. This is the effective value of the fundamental voltage. This represents the effective value of the nth harmonic voltage, where n is the harmonic order. The initial phase of the nth harmonic. This represents the total harmonic distortion (THD) of the voltage. The formula for three-phase unbalance is: in, This refers to the three-phase voltage imbalance. It is the maximum value among the three-phase voltages. It is the minimum value among the three-phase voltages. This represents the average value of the three-phase voltage.

[0033] Load-side reproduction indicators include static load, dynamic load, and power battery simulation. The formula for AC RLC load impedance is: in, The total impedance of the load. The resistance component of the load. For the inductive reactance of the load, Capacitive reactance of the load, The inductance value of the load. This is the capacitance value of the load; The formula for dynamic load mutation is: in, It is a function of load power as a function of time. The steady-state power before the mutation. The magnitude of the power surge. It is a unit step function. This is the trigger moment for a power surge; The formula for simulating the charging current of a power battery is: in, The charging current requested by the simulated power battery. This serves as the reference value for setting the charging current. The coefficient of change of current-SOC is denoted as . These are simulated values ​​for the battery's state of charge, with a simulation range of 0% to 100%. Fault reproduction indicators include overvoltage / undervoltage, overcurrent, short circuit, and communication interruption. The overvoltage / undervoltage threshold formula is: in, This is the overvoltage protection threshold voltage. The system's rated voltage. This is the voltage deviation coefficient. This is the undervoltage protection threshold voltage; The overcurrent threshold formula is: in, The overcurrent protection threshold current, Rated operating current, The current coefficient; The formula for short-circuit current is: in, This is the short-circuit fault current. The input voltage before the fault point. For short-circuit resistance, This represents the line resistance.

[0034] Furthermore, in this embodiment of the application, step S2, based on the mathematical model, constructs a core functional module including power conversion, load simulation, and control calculation, and selects and integrates corresponding core components to build a hardware platform for the device. Specific steps include: The power conversion module adopts a three-phase PWM rectification + Buck-Boost converter topology. The core component is an IGBT module with a withstand voltage ≥1200V, a current ≥450A, and a switching frequency of 10~20kHz. The control algorithm adopts a composite control of PI + feedforward + disturbance observer, which is embedded in the DSP and has a dynamic response time ≤5ms.

[0035] In an alternative embodiment, an isolated DC / DC converter (such as a full-bridge LLC resonant converter) with a high-frequency transformer can also be used after a three-phase diode uncontrolled rectifier bridge. The diode rectifier bridge converts the alternating current into pulsating direct current, which is then finely boosted, stepped down, and regulated by the isolated DC / DC converter.

[0036] In another alternative embodiment, a single-phase PWM rectifier can be used to achieve sinusoidal input current and power factor correction, with a single Buck or Boost circuit used in the subsequent stage.

[0037] The load simulation module includes a programmable RLC load matrix and a power battery simulation unit. The RLC load resistance range is 0.1~100Ω, the inductance is 0.1~10mH, and the capacitance is 1~1000μF. The power battery simulation unit outputs a voltage of 200~1000V and supports constant voltage / constant current / constant power modes. The SOC simulation accuracy is ±2%.

[0038] The heat dissipation adopts a combination of water cooling and forced air cooling. The coolant is a 50% ethylene glycol aqueous solution with a flow rate of 5-10 L / min. The operating temperature of the core components is ≤85℃. Protection includes surge protectors and EMC filters. The enclosure protection level is IP21, the insulation resistance is ≥10MΩ, and the withstand voltage is ≥2kV.

[0039] The device is suitable for AC slow charging, DC fast charging and AC / DC integrated charging piles, supports Type2 / GB / T / CCS / CHAdeMO interface standards, supports export of test data in CSV / Excel format and automatic generation of test reports, has a continuous working time of ≥48 hours, and meets the electromagnetic compatibility requirements of GB / T18487.1.

[0040] Furthermore, in this embodiment, step S3 calibrates the sensor, load module, and control algorithm to establish an error compensation model; performs layered integration and debugging, sequentially completing unit-level, system-level, and communication debugging; and tests the device's performance under different set operating conditions. Specific steps include: Sensor calibration uses a standard signal source, and an error compensation model is established based on this calibration. in, This is the gain coefficient. This is the offset. The output value after compensation. These are the original measurements from the sensor; In an alternative embodiment, the error compensation model can also be established using a zero-offset compensation model. During calibration, only one offset is determined to correct the sensor's output deviation at zero input (i.e., zeroing).

[0041] In another optional embodiment, the error compensation model can also be established using a combination of lookup table method and linear interpolation. During calibration, multiple discrete calibration points are selected across the entire range of the sensor, and the original sensor output value corresponding to each input point is recorded to generate a "standard input - sensor output" lookup table.

[0042] The formula for voltage / current reproduction accuracy is: in, This represents the relative error in voltage reproduction. This is the actual measured voltage value. For voltage setting value, This represents the relative error in current reproduction. This is the actual measured current value. Set the current value; The formula for power reproduction accuracy is: in, The relative error in power reproduction, This is the actual measured power value. This is the power setting value.

[0043] Furthermore, in this embodiment, step S4 optimizes the device based on the test results and achieves accurate reproduction of the operating conditions on the grid side, load side, and fault side through a closed-loop control algorithm. Specific steps include: It adopts a DSP+FPGA dual-core controller architecture. The DSP focuses on the execution of control algorithms, while the FPGA is responsible for high-speed data acquisition and fault triggering. Combined with the PI+feedforward+disturbance observer composite control algorithm, the voltage / current reproduction relative error is ≤±0.5%, the power reproduction relative error is ≤±1%, and the dynamic response time is ≤5ms. Through high-precision sensors (accuracy of ±0.2%) and error compensation models, the measurement and reproduction accuracy is further improved, and the harmonic simulation accuracy is ≤±1% (THD). It can accurately capture rapidly changing dynamic operating conditions and instantaneous fault states, and the reproduction effect is more in line with the actual field situation.

[0044] In an alternative embodiment, a modern multi-core DSP integrating multiple high-performance CPU cores and a dedicated acceleration coprocessor can also be used. All tasks, including control algorithms, data acquisition and processing, and fault triggering logic, are implemented through software programming and task partitioning on the DSP (e.g., assigning the interrupt service routines with the highest real-time requirements to specific cores).

[0045] In another alternative embodiment, a combination of a microcontroller unit (MCU) and a complex programmable logic device (CPLD) can be used. The MCU acts as the main controller, responsible for running control algorithms, system management, and communication, among other upper-level tasks. The CPLD replaces the FPGA in the original solution, responsible for implementing interface expansion, preprocessing of low-speed data acquisition, and simple digital logic and fault triggering functions.

[0046] Example 3 is the third embodiment of the present invention, which differs from the previous two embodiments in that: This embodiment also provides a charging pile operation status reproduction system, including: a power conversion module, a load simulation module, a control and processing module, and a heat dissipation and protection module; The power conversion module is used to generate and adjust the voltage and current output required for testing according to the set parameters; The load simulation module is used to simulate various static, dynamic and nonlinear load characteristics to reproduce the on-site load conditions of the charging pile. The control and processing module is used to execute control algorithms, process sensor data, manage fault triggering, and coordinate the work of various modules. The heat dissipation protection module is used to provide heat dissipation for the core power devices of the system and to achieve electrical safety protection and electromagnetic compatibility.

[0047] This embodiment also provides an electronic device, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize a method for reproducing the operating state of a charging pile as proposed in the above embodiment.

[0048] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements a method for reproducing the operating state of a charging pile as proposed in the above embodiment.

[0049] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for reproducing the operating state of a charging pile proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0050] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0051] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for reproducing an operating state of a charging pile, characterized in that: The application relates to a charging pile operation state reproduction method and device. The target charging pile type, rated parameters and complex scene indexes are collected and confirmed, and corresponding mathematical models are established; Based on the mathematical models, core function modules including power conversion, load simulation and control operation are constructed, and corresponding core components are selected and integrated to construct a device hardware platform; The sensors, load modules and control algorithms are calibrated, and an error compensation model is established; Layered integration debugging is performed, and unit-level, system-level and communication debugging are sequentially completed, and the performance of the device is tested under different set working conditions; Based on the test results, the device is optimized, and closed-loop control algorithms are used to accurately reproduce the working conditions of the grid side, the load side and the fault side.

2. The method of claim 1, wherein: The establishment of the corresponding mathematical models includes the establishment of a voltage fluctuation model, a harmonic injection model and a three-phase imbalance calculation model to simulate the voltage fluctuation, harmonic distortion and three-phase imbalance working conditions of the grid side.

3. The method of claim 2, wherein: When the mathematical model for simulating the working conditions of the grid side is established, a static impedance model, a dynamic load step model and a power battery charging characteristic model are also established simultaneously to simulate the static and dynamic load characteristics of the load side and the charging behavior of the power battery.

4. The method of claim 3, wherein: When the mathematical model for simulating the load side characteristics is established, an adjustable voltage and current threshold model and a short-circuit impedance model are also set to simulate the overvoltage, undervoltage, overcurrent and short-circuit fault scenarios of the fault side.

5. The method of claim 4, wherein: The reproduction indexes include grid side reproduction indexes, load side reproduction indexes and fault side reproduction indexes; The grid side reproduction indexes include voltage fluctuation, harmonic distortion and three-phase imbalance, the voltage fluctuation simulation formula is as follows: wherein is the instantaneous value of the output voltage on the AC side, is the RMS value of the rated voltage on the AC side, is the fluctuation coefficient, is the fluctuation waveform function, , is the fundamental initial phase, t is the time variable; The DC side is as follows: wherein is the instantaneous value of the output voltage at the DC side, is the rated voltage at the DC side; The harmonic distortion formula is as follows: wherein, V is the voltage instantaneous value, V is the fundamental voltage effective value, V is the nth harmonic voltage effective value, n is the harmonic number, is the initial phase of the nth harmonic, is the total voltage harmonic distortion rate; The three-phase imbalance degree formula is as follows: wherein, is the three-phase voltage unbalance degree, is the maximum value among the three-phase voltages, is the minimum value among the three-phase voltages, is the average value of the three-phase voltages.

6. The method of claim 5, wherein: The load side reproduction indexes include static load, dynamic load and power battery simulation, the AC RLC load impedance formula is as follows, wherein, is the total impedance of the load, is the resistive component of the load, is the inductive component of the load, is the capacitive component of the load, is the inductance value of the load, is the capacitance value of the load; The dynamic load mutation formula is as follows: wherein, is a function of the time variation of the load power, is the steady state power before the mutation, is the amplitude of the power mutation, is the unit step function, is the triggering instant of the power mutation; The power battery charging current simulation formula is as follows: wherein is the requested charging current for the simulated power cell, is the set reference value for the charging current, is the current-SOC change coefficient, is the battery state of charge simulation value, simulated range 0-100%. The fault side reproduction indexes include overvoltage / undervoltage, overcurrent, short circuit and communication interruption, the overvoltage / undervoltage threshold formula is as follows: wherein, Vover is an overvoltage protection threshold voltage, Vnom is a system nominal voltage, Voff is a voltage offset coefficient, Vunder is an undervoltage protection threshold voltage; The overcurrent threshold formula is as follows: wherein, is an overcurrent protection threshold current, is a nominal operating current, is an overcurrent coefficient; The short-circuit current formula is as follows: wherein, is the short circuit fault current, is the input voltage before the fault point, is the short circuit resistance, is the line resistance.

7. The method of claim 6, wherein: The sensors include the use of a standard signal source for calibration, and the establishment of an error compensation model, wherein, is a gain coefficient, is an offset, is the compensated output value, is the raw measurement value of the sensor; The voltage / current reproduction accuracy formula is as follows: wherein, is the voltage reproduction relative error, is the actual measured voltage value, is the voltage setpoint, is the current reproduction relative error, is the actual measured current value, is the current setpoint; The power reproduction accuracy formula is as follows: wherein, Prel is the power reproduction relative error, Pmeas is the actual measured power value, Pset is the power set value.

8. A charging pile operating state reproduction system, applying the method of any one of claims 1-7, characterized in that, The application relates to a charging pile operation state reproduction method and device. The application relates to a charging pile operation state reproduction method and device. The application relates to a charging pile operation state reproduction method and device. ​ ​ ​ 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. ​ 10. A computer-readable storage medium having stored thereon a computer program, characterized in that, ​

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