Photovoltaic test system and method with double closed-loop light field monitoring and calibration

Abstract

The invention relates to a photovoltaic test system and method with double closed-loop light field monitoring and calibration, and the system comprises a frame assembly which comprises an upper-layer plate, a lower-layer plate, and a plurality of vertical columns for connecting the upper-layer plate and the lower-layer plate; the light source module is mounted on the upper-layer plate, the light emitting direction of the light source module faces the lower-layer plate, and the light source module comprises a sunlight simulation lamp assembly and a driving power supply for supplying power to the sunlight simulation lamp assembly; the sliding test mechanism comprises a guide rail arranged on the lower layer plate, a bearing table in sliding fit with the guide rail, and a sample table used for fixing a photovoltaic device to be tested, and the sample table is connected with the bearing table; the testing position is located under the light source module, and the feeding and discharging position is located on the outer side of the frame assembly. The photovoltaic test system not only has on-line monitoring and closed-loop calibration capabilities of light field uniformity, but also can guide a user to quickly complete calibration through clear state indication.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photoelectric detection equipment, and in particular to a photovoltaic testing system and method with double-closed-loop light field monitoring and calibration. BACKGROUND

[0002] The rapid development of solar photovoltaic technology has put unprecedentedly high requirements on the performance evaluation of battery pieces, components and new photovoltaic devices. Accurate, reliable and repeatable test data is the cornerstone of research progress and quality control. In the laboratory environment, as the core test equipment, the performance of the solar simulator directly determines the credibility of the data. In photovoltaic laboratory testing, it is crucial to ensure the uniformity of the output light intensity of the solar simulator and to reach the standard intensity of 1000 W / m². The calibration of existing equipment usually relies on external expensive equipment for regular calibration, or is completed by experienced engineers through a tedious trial-and-error process. For most laboratory users, there is a lack of a solution that can intuitively and real-time indicate the current light field quality, such as whether the uniformity of light intensity and the total light intensity meet the standard, and can clearly guide the calibration direction. This leads to the fact that the test conditions may deviate from the standard unknowingly, affecting the accuracy of the data, and the calibration process is inefficient.

[0003] In the traditional sense, to achieve these standards, scientific research-level solar simulators mostly use short-arc xenon lamps as light sources. Although the xenon lamp is relatively close to sunlight, it has many inherent defects: first, the xenon lamp has a limited lifespan, and its brightness will significantly decrease with the use time, leading to unstable test conditions; second, the xenon lamp requires a complex and bulky power supply and cooling system, the device is huge in size, high in power consumption, and loud in operation noise, which is not suitable for most compact laboratory spaces; third, the xenon lamp output contains strong infrared and ultraviolet components, which may cause thermal effects and aging problems of the measured devices, interfering with the test results.

[0004] In recent years, with the development of advanced light source technology, solar simulators using new light source arrays have emerged. These light sources have natural advantages such as long lifespan, low heat generation, instantaneous switching, and easy brightness adjustment. Compact test devices based on such light sources have thus become the new favorite of laboratories, as they are small in size, easy to operate, and more suitable for high-frequency, multi-sample research and testing scenarios.

[0005] However, the improved photovoltaic testing device of the prior art still has a fatal weakness that is generally overlooked: the lack of online, real-time monitoring and software-driven active maintenance capability for key performance indicators, especially light intensity uniformity. The photoelectric properties of the light source can slowly drift over time and environment. In addition, slight deformation or contamination of the optical elements can also cause changes in the light field distribution of the test plane. This performance degradation is gradual and not easily detected, but it is enough to gradually deviate the carefully designed test conditions from the standard, resulting in systematic deviations in batch test data, which can have disastrous consequences for research conclusions and product grading.

[0006] Currently, the calibration of the solar simulator is an expensive and tedious task that requires the use of external, higher-level standard detectors by professional personnel on a regular basis. This process causes the device to be out of service, affecting research and development efficiency. Some high-end devices on the market mention uniformity, but this is mostly achieved through precise initial optical design, and do not address the issue of how to intelligently maintain performance through software during use. The existing technology mostly stays at the level of passive guarantee and hardware dependence, and cannot achieve software-driven and active maintenance.

[0007] Therefore, there is an urgent need in the art for an intelligent photovoltaic testing system that can perform real-time self-diagnosis and automatic calibration through built-in algorithms. It should not just be a tool for outputting light, but should be a comprehensive analysis platform that can perceive its own state, compare it with the standard through software algorithms, and make intelligent adjustments. The present invention is based on this deep technical insight and proposes a completely new solution by deeply integrating sensing technology, intelligent algorithms, and advanced light source technology. SUMMARY

[0008] In view of the above problems, the present invention provides a photovoltaic testing system and method with double-closed-loop light field monitoring and calibration, which not only has online monitoring and closed-loop calibration capability for light field uniformity, but also can guide users to quickly complete calibration through explicit status indication.

[0009] To achieve the above objects and other related objects, the technical solutions of the present invention are as follows: A photovoltaic testing system with double-closed-loop light field monitoring and calibration, the system comprising: a frame assembly comprising an upper layer plate, a lower layer plate, and a plurality of vertical columns connecting the two; a light source module mounted on the upper layer plate, with its light output direction facing the lower layer plate, the light source module comprising a solar simulator lamp assembly and a driving power supply for powering the same; The sliding test mechanism includes a guide rail disposed on the lower plate, a support platform that slides with the guide rail, and a sample stage for fixing the photovoltaic device under test. The sample stage is connected to the support platform and has a test position located directly below the light source module and a loading / unloading position located outside the frame assembly. A light-shielding assembly is disposed between the upper and lower plates to form an optical isolation space around the sample stage during testing; The sensing module includes multiple light intensity sensors distributed and embedded on the surface of the sample stage; The central control processor is electrically connected to the driving power supply of all the light intensity sensors and the light source module, respectively. The touchscreen display is communicatively connected to the central control processor.

[0010] Furthermore, the central control processor is configured to perform the following: Data acquisition and calculation: continuously collect data from all light intensity sensors and calculate the real-time light intensity uniformity and average light intensity of the test plane accordingly. Status judgment and interface update: compare the calculated uniformity and average light intensity with preset conditions, and generate corresponding status information and calibration instructions based on the comparison results; The display control is based on the deviation e between the calculated light intensity uniformity σ and the target uniformity. u and its rate of change ec u As input, PID parameters are tuned online via fuzzy inference, and the output is an adjustment command for the light source drive power supply to dynamically optimize the light field distribution; the deviation e between the calculated average light intensity and the target light intensity is used as the input. i and its rate of change ec i As input, the fuzzy PID controller also outputs an adjustment command for the total driving power of the light source to lock the target light intensity, and the real-time uniformity value and average light intensity value in digital form. Data management stores the collected light intensity data, calculation results, calibration events, and test timestamps in non-volatile memory, and responds to query commands on the touch screen to retrieve and display historical data and draw historical data trend charts.

[0011] Furthermore, the system also includes a control processing unit, which performs a closed-loop calibration process for light intensity uniformity, including calculating the light intensity uniformity σ = ±(Lux) / 2. max -Lux min ) / (Lux max +Lux min The value of Lux is compared with 100% and a first preset threshold, where Lux is... max and Lux minThe maximum and minimum light intensity values ​​collected by all light intensity sensors at the same time are respectively. The control processing unit is configured to compare the calculated σ value with a first preset threshold. If the threshold is exceeded, the light source partition corresponding to the abnormal area is located, and a control command is generated to adjust the drive current of the partition.

[0012] Furthermore, the text calibration instructions displayed on the touch screen include: "Uniformity exceeds the threshold, it is recommended to fine-tune the light source angle or optical element position" or "Average light intensity does not meet the standard, please adjust the light source power". The central control processor is configured to switch the display interface in response to the user's operation on the touch screen, and the interface includes at least "real-time monitoring interface", "historical data query interface" and "system settings interface".

[0013] Furthermore, the light-shielding assembly includes a C-shaped box fixed between the upper and lower plates and surrounding three sides of the test area, and a liftable horizontal light-shielding plate; the inner surfaces of the C-shaped box and the horizontal light-shielding plate are covered with a high-reflectivity diffuse reflection layer with a reflectivity of not less than 95%.

[0014] Furthermore, the central control processor is a microcontroller.

[0015] To achieve the above and other related objectives, the present invention also provides a photovoltaic testing method with dual closed-loop light field monitoring and calibration, applied to the aforementioned photovoltaic testing system with dual closed-loop light field monitoring and calibration, comprising the following steps: S1. The system powers on and initializes. The central control processor starts self-test and preheats the light source module. The touch screen displays the main interface. S2. Move the sample stage to the test position, close the light-shielding component, start the adaptive fuzzy PID dual closed-loop control algorithm, and the system automatically performs light field calibration; S3. Turn on the light source module. When both circuits reach a stable state, perform photovoltaic device performance testing. The operator observes the touch screen. S4. Calibration Phase: If the touch screen displays calibration instructions, such as the screen indicating that the light source angle or drive power needs to be adjusted, the operator should manually intervene according to the instructions and observe the changes in the displayed values ​​and status until the screen displays "System Ready" or a similar prompt. S5. Testing Phase: With the system in a ready state, the performance parameters of the photovoltaic devices are tested, and the test data can be stored in a linked manner; S6. Data Analysis Phase: After the test, the operator can access the historical data query interface through the touch screen to view the uniformity and average value of the light intensity of this or previous tests and its trend graph, and can retrieve the light intensity distribution cloud map for retrospective analysis.

[0016] The present invention has the following positive effects: This invention's adaptive fuzzy PID algorithm overcomes the shortcomings of conventional PID with fixed parameters. When faced with system nonlinearity caused by light source aging, temperature drift, etc., it can optimize parameters online, achieving faster response speed, smaller overshoot, and higher steady-state accuracy. Combined with intelligent algorithms, it is insensitive to changes in internal system parameters and external environmental disturbances, significantly improving the stability and reliability of the test system under different operating conditions and ensuring consistency in long-term testing. At the same time, through dual closed-loop adaptive control, it completely replaces the calibration process that relies on repeated trial and error based on human experience, realizing full automation from monitoring and decision-making to execution, greatly improving testing efficiency and reducing human error. Attached Figure Description

[0017] Figure 1 This is a three-dimensional structural diagram of the present invention; Figure 2 This is a top view of the present invention after the upper plate has been removed; Figure 3 This is a control principle framework diagram of the present invention; Figure 4 This is an interface layout diagram of the control system of the present invention; Figure 5 This is a schematic diagram of the workflow of the present invention.

[0018] Explanation of the numbers in the diagram: 001-Upper plate, 002-Light source, 003-Adapter plate, 101-Column, 201-Lower plate, 202-Supporting platform, 203-Sample stage, 204-Control and processing unit, 205-Guide rail, 301-C-shaped box, 302-Horizontal light shield. Detailed Implementation

[0019] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0020] Example 1: As Figure 1 or Figure 2 or Figure 3 or Figure 4 As shown, the frame assembly includes an upper plate 001, a lower plate 201, and a plurality of columns 101 connecting the two. A light source module is installed on the upper plate 001, and its light emission direction is towards the lower plate 201. The light source module includes a sunlight simulation lamp assembly and a driving power supply for powering it. The sliding test mechanism includes a guide rail 205 disposed on the lower plate 201, a support platform 202 that slides with the guide rail 205, and a sample stage 203 for fixing the photovoltaic device under test. The sample stage 203 is connected to the support platform 202 and has a test position located directly below the light source module and an loading / unloading position located outside the frame assembly. A light-shielding assembly is disposed between the upper plate 001 and the lower plate 201 to form an optical isolation space around the sample stage 203 during testing; The sensing module includes multiple light intensity sensors distributed and embedded on the surface of the sample stage 203; The central control processor is electrically connected to the driving power supply of all the light intensity sensors and the light source module, respectively. The touchscreen display is communicatively connected to the central control processor.

[0021] In this embodiment, the central control processor is configured to perform the following: Data acquisition and calculation: continuously collect data from all light intensity sensors and calculate the real-time light intensity uniformity and average light intensity of the test plane accordingly. Status judgment and interface update: compare the calculated uniformity and average light intensity with preset conditions, and generate corresponding status information and calibration instructions based on the comparison results; The display control is based on the deviation e between the calculated light intensity uniformity σ and the target uniformity. u and its rate of change ec u As input, PID parameters are tuned online via fuzzy inference, and the output is an adjustment command for the light source drive power supply to dynamically optimize the light field distribution; the deviation e between the calculated average light intensity and the target light intensity is used as the input. i and its rate of change ec i As input, the fuzzy PID controller also outputs an adjustment command for the total driving power of the light source to lock the target light intensity, and the real-time uniformity value and average light intensity value in digital form. Data management stores the collected light intensity data, calculation results, calibration events, and test timestamps in non-volatile memory, and responds to query commands on the touch screen to retrieve and display historical data and draw historical data trend charts.

[0022] In this embodiment, the system further includes a control processing unit, the process of which the control processing unit performs closed-loop calibration of light intensity uniformity includes calculating the light intensity uniformity σ = ±(Lux) max-Lux min ) / (Lux max +Lux min The value of Lux is compared with 100% and a first preset threshold, where Lux is... max and Lux min The maximum and minimum light intensity values ​​collected by all light intensity sensors at the same time are respectively. The control processing unit is configured to compare the calculated σ value with a first preset threshold. If the threshold is exceeded, the light source partition corresponding to the abnormal area is located, and a control command is generated to adjust the drive current of the partition.

[0023] In this embodiment, the text calibration instructions displayed on the touch screen include: "Uniformity exceeds the threshold, it is recommended to fine-tune the light source angle or optical element position" or "Average light intensity does not meet the standard, please adjust the light source power". The central control processor is configured to switch the display interface in response to the user's operation on the touch screen. The interface includes at least "real-time monitoring interface", "historical data query interface" and "system settings interface".

[0024] In this embodiment, the light-shielding assembly includes a C-shaped box fixed between the upper and lower plates and surrounding three sides of the test area, and a liftable horizontal light-shielding plate; the inner surfaces of the C-shaped box and the horizontal light-shielding plate are covered with a high-reflectivity diffuse reflection layer with a reflectivity of not less than 95%.

[0025] In this embodiment, the central control processor is a microcontroller.

[0026] In this embodiment, as Figure 5 As shown, this invention provides a photovoltaic testing method with dual closed-loop light field monitoring and calibration, applied to the aforementioned photovoltaic testing system with dual closed-loop light field monitoring and calibration, comprising the following steps: S1. The system powers on and initializes. The central control processor starts self-test and preheats the light source module. The touch screen displays the main interface. S2. Move the sample stage to the test position, close the light-shielding component, start the adaptive fuzzy PID dual closed-loop control algorithm, and the system automatically performs light field calibration; S3. Turn on the light source module. When both circuits reach a stable state, perform photovoltaic device performance testing. The operator observes the touch screen. S4. Calibration Phase: If the touch screen displays calibration instructions, such as the screen indicating that the light source angle or drive power needs to be adjusted, the operator should manually intervene according to the instructions and observe the changes in the displayed values ​​and status until the screen displays "System Ready" or a similar prompt. S5. Testing Phase: With the system in a ready state, the performance parameters of the photovoltaic devices are tested, and the test data can be stored in a linked manner; S6. Data Analysis Phase: After the test, the operator can access the historical data query interface through the touch screen to view the uniformity and average value of the light intensity of this or previous tests and its trend graph, and can retrieve the light intensity distribution cloud map for retrospective analysis.

[0027] Example 2: Based on the photovoltaic testing system and method with dual closed-loop light field monitoring and calibration in Example 1, the present invention will be further described and explained below.

[0028] refer to Figures 1 to 4 The present invention discloses an intelligent photovoltaic testing device, the main mechanical body of which is a double-layer frame made of anodized aluminum profile. The upper plate 001 and the lower plate 201 are made of standard aluminum plates and are firmly connected by four steel columns 101 and screws. A circular through hole with a diameter of about 200mm is opened in the center of the upper plate 001.

[0029] In this embodiment, the light source module is mounted in a circular through-hole on the upper plate 001 via an adapter plate 003. The core of this module is a circular metal-based circuit board. The light source, such as a sunlight simulation lamp, is mounted on the upper plate 001 via the adapter plate. The driving power supply 403 is a multi-channel constant current source, which is connected to the control processing unit 204 and the light source 002 via ribbon cables.

[0030] In this embodiment, two high-precision linear guide rails 205 are fixedly mounted on the lower plate 2 with screws. Each guide rail 205 is equipped with a slider as a support stage 202. A sample stage 203 for supporting the photovoltaic device under test is fixed to the two sliders 202 with screws. On the bottom surface of the sample stage 203, multiple calibrated silicon photodiodes are embedded as a control processing unit 204, which is a light intensity sensor.

[0031] In this embodiment, the light-shielding assembly includes a C-shaped housing 301 with a light-shielding effect and a transverse light-shielding plate 302 made of the same material. The C-shaped housing 301 is fixed between the upper plate 001 and the lower plate 201, surrounding the test area from the rear and left and right sides. The transverse light-shielding plate 302 is mounted above the guide rail 205 via a pair of lightweight sliding grooves and can be moved up and down manually or by a small servo motor. A high-reflectivity diffuse reflection film is adhered to the inner side of all light-shielding plates.

[0032] In this embodiment, the central control processor 401 is the intelligent core of the device. In this embodiment, it uses a microprocessor development board based on an ARM Cortex-M7 core. This unit connects to all control processing units 204 (i.e., light intensity sensors) via DuPont wires or FPC cables, interacts with the drive power supply 403 via the UART communication protocol, and the touch display 402 communicates with the central control processor 401 via an SPI or RGB interface.

[0033] In this embodiment, the device's workflow and intelligent calibration process are as follows: After system startup, the system automatically performs a rapid calibration cycle: the touchscreen display 402 shows a real-time monitoring interface, which may display a simulated sample stage area in the center, overlaid with a light intensity distribution cloud map rendered in real time based on sensor data. The interface clearly lists values ​​such as "Current Uniformity: 2.1% (Target <3%)" and "Average Light Intensity: 998 W / m² (Target 1000±10)". A status bar at the top of the interface displays "System Status: Calibrating..." or "System Status: Ready". The core implementation code of the adaptive fuzzy PID algorithm is as follows: float target_intensity = 1000.0; / / Target light intensity 1000 W / m² float e_intensity, ec_intensity, last_e_intensity = 0; float Kp_i = 1.0, Ki_i = 0.1, Kd_i = 0.01; / / Initial parameters for the PID controller void Adaptive_Fuzzy_PID_Intensity_Loop() { / / 1. Read the sensor data and calculate the average light intensity avg_intensity float avg_intensity = read_avg_illuminance(); / / 2. Calculate the deviation e and the rate of change of deviation ec e_intensity = target_intensity - avg_intensity; ec_intensity = e_intensity - last_e_intensity; last_e_intensity = e_intensity; / / 3. Call the fuzzy tuning function to obtain the PID parameter adjustment amount. Fuzzy_Output delta = fuzzy_tuning_intensity(e_intensity, ec_intensity); / / 4. Update PID parameters Kp_i += delta.delta_Kp; Ki_i += delta.delta_Ki; Kd_i += delta.delta_Kd; / / Apply integral anti-saturation and parameter boundary constraints... constrain_pid_parameters(&Kp_i, &Ki_i, &Kd_i); / / 5. Calculate PID output float output = Kp_i * e_intensity + Ki_i *integral_of_e + Kd_i * ec_intensity; / / 6. Apply the output to the drive power supply and adjust the total power. set_driver_power(output); / / 7. Update current parameters and status on the touchscreen. update_display(Kp_i, Ki_i, Kd_i, e_intensity,output); In this embodiment, the intelligent controller implemented with the above code allows the system to quickly and smoothly adjust the light field to a standard state after power-on, and effectively resist various interferences throughout the testing process, maintaining high-standard testing conditions. If the average light intensity is below 990 W / m², the interface status bar may turn yellow and display a prompt: "Insufficient light intensity, please increase the light source power." Upon seeing this, the user manually adjusts the knob of the drive power supply 403 while observing the real-time increase of the average light intensity value on the screen until the target is achieved, at which point the prompt disappears automatically. Only after the uniformity calibration is qualified will the system begin the formal current-voltage characteristic test. After the test, the sample's IV curve data and the real-time light field environment data during this test will be saved together, forming a complete and traceable test report.

[0034] In this embodiment, the user clicks the "Historical Data" button on the main page to enter the query interface. They can select a historical date and test batch, and the screen will then display the uniformity change curve during the testing process for that batch. A snapshot of the light intensity distribution cloud map at the start of the test can also be retrieved. Each time the light source is turned on for testing, the processor 401 saves a series of light field data (including all sensor readings, calculated uniformity and average light intensity, and timestamps) as a data packet to the onboard SD card or Flash memory. The user can also preset parameters such as uniformity threshold and target light intensity value through the "Settings" interface.

[0035] In summary, this invention not only possesses the capability for online monitoring and closed-loop calibration of light field uniformity, but also provides a photovoltaic testing system that guides users to quickly complete calibration through clear status indicators.

[0036] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A photovoltaic testing system with dual closed-loop light field monitoring and calibration, characterized in that, The system includes: The frame assembly includes an upper plate (001), a lower plate (201), and a plurality of columns (101) connecting the two. A light source module is installed on the upper plate (001) with its light emission direction facing the lower plate (201). The light source module includes a sunlight simulation lamp assembly and a driving power supply for powering it. The sliding test mechanism includes a guide rail (205) disposed on the lower plate (201), a support platform (202) that slides with the guide rail (205), and a sample stage (203) for fixing the photovoltaic device under test. The sample stage (203) is connected to the support platform (202) and has a test position located directly below the light source module and a loading / unloading position located outside the frame assembly. A light-shielding assembly is disposed between the upper plate (001) and the lower plate (201) to form an optical isolation space around the sample stage (203) during testing; The sensing module includes multiple light intensity sensors distributed and embedded on the surface of the sample stage (203); The central control processor is electrically connected to the driving power supply of all the light intensity sensors and the light source module, respectively. The touchscreen display is communicatively connected to the central control processor.

2. The photovoltaic testing system with dual closed-loop light field monitoring and calibration according to claim 1, characterized in that, The central control processor is configured to perform the following: Data acquisition and calculation: continuously collect data from all light intensity sensors and calculate the real-time light intensity uniformity and average light intensity of the test plane accordingly. Status judgment and interface update: compare the calculated uniformity and average light intensity with preset conditions, and generate corresponding status information and calibration instructions based on the comparison results; The display control is based on the deviation e between the calculated light intensity uniformity σ and the target uniformity. u and its rate of change ec u As input, PID parameters are tuned online via fuzzy inference, and the output is an adjustment command for the light source drive power supply to dynamically optimize the light field distribution; the deviation e between the calculated average light intensity and the target light intensity is used as the input. i and its rate of change ec i As input, the fuzzy PID controller also outputs an adjustment command for the total driving power of the light source to lock the target light intensity, and the real-time uniformity value and average light intensity value in digital form. Data management stores the collected light intensity data, calculation results, calibration events, and test timestamps in non-volatile memory, and responds to query commands on the touch screen to retrieve and display historical data and draw historical data trend charts.

3. The photovoltaic testing system with dual closed-loop light field monitoring and calibration according to claim 2, characterized in that, The system also includes a control processing unit, which performs a closed-loop calibration process for light intensity uniformity, including calculating the light intensity uniformity σ = ±(Lux) max -Lux min ) / (Lux max +Lux min The value of Lux is compared with 100% and a first preset threshold, where Lux is... max and Lux min The maximum and minimum light intensity values ​​collected by all light intensity sensors at the same time are respectively. The control processing unit is configured to compare the calculated σ value with a first preset threshold. If the threshold is exceeded, the light source partition corresponding to the abnormal area is located, and a control command is generated to adjust the drive current of the partition.

4. The photovoltaic testing system with dual closed-loop light field monitoring and calibration according to claim 1, characterized in that: The text calibration instructions displayed on the touch screen include: "Uniformity exceeds the threshold, it is recommended to fine-tune the light source angle or optical element position" or "Average light intensity does not meet the standard, please adjust the light source power". The central control processor is configured to switch the display interface in response to the user's operation on the touch screen. The interface includes at least "real-time monitoring interface", "historical data query interface" and "system settings interface".

5. The photovoltaic testing system with dual closed-loop light field monitoring and calibration according to claim 1, characterized in that: The light-shielding assembly includes a C-shaped box fixed between the upper and lower plates and surrounding three sides of the test area, and a liftable horizontal light-shielding plate; the inner surfaces of the C-shaped box and the horizontal light-shielding plate are covered with a high-reflectivity diffuse reflection layer with a reflectivity of not less than 95%.

6. The photovoltaic testing system with dual closed-loop light field monitoring and calibration according to claim 1, characterized in that: The central control processor is a microcontroller.

7. A photovoltaic testing method with dual closed-loop light field monitoring and calibration, applied to the photovoltaic testing system with dual closed-loop light field monitoring and calibration as described in any one of claims 1-6, characterized in that, Includes the following steps: S1. The system powers on and initializes. The central control processor starts self-test and preheats the light source module. The touch screen displays the main interface. S2. Move the sample stage to the test position, close the light-shielding component, start the adaptive fuzzy PID dual closed-loop control algorithm, and the system automatically performs light field calibration; S3. Turn on the light source module. When both circuits reach a stable state, perform photovoltaic device performance testing. The operator observes the touch screen. S4. During the calibration phase, if the touch screen displays calibration instructions, the screen may indicate that the light source angle or drive power needs to be adjusted. The operator should then manually intervene according to the instructions and observe the changes in the displayed values ​​and status until the screen displays "System Ready". S5. During the testing phase, with the system in a ready state, the performance parameters of the photovoltaic devices are tested, and the test data can be stored in a linked manner. S6. Data Analysis Phase: After the test is completed, the operator can access the historical data query interface through the touch screen to view the uniformity and average value of the light intensity of this or previous tests and its trend graph, and can retrieve the light intensity distribution cloud map for retrospective analysis.

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