Method for testing dynamic response characteristics of power supply by simulating load change of power supply

Abstract

The invention discloses a method for testing the dynamic response characteristic of a power supply by simulating the load change of the power supply, and relates to the technical field of power supply testing, and the method comprises the steps: generating a simulation load change sequence based on a preset load change mode, and enabling each load value to correspond to a specific time point; inputting the simulated load change sequence into the power supply to be tested, and controlling the power supply to be tested to work according to the simulated load change sequence by using the multi-channel synchronous test system so as to simulate the load change in the actual use process; a high-precision data acquisition module is used for acquiring and recording output voltage values, output current values and corresponding timestamps of the to-be-tested power supply under different load conditions at a sampling rate not lower than a first set value, and a dynamic response data set is formed; and processing the dynamic response data set by using a preset data calibration algorithm, and calculating dynamic response parameters of the to-be-tested power supply at each load change point. The motor power supply testing device has the effect of improving motor power supply testing precision.

Description

Technical Field

[0001] The present application relates to the technical field of power supply testing, and in particular to a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes. Background Art

[0002] With the rapid development of the electric vehicle market, the performance of the motor, as one of the core components of electric vehicles, directly affects the overall performance and safety of the vehicle. In order to ensure the reliability and efficiency of the motor under various working conditions, its power supply needs to be strictly tested to evaluate its dynamic response characteristics.

[0003] At present, the power supply test of electric vehicle motors mainly relies on traditional manual or semi-automatic test methods, such as using a fixed load resistor to simulate load changes, and testing by manually adjusting the load resistor and recording test data. Although these methods can evaluate the basic performance of the power supply to a certain extent, they are obviously insufficient in test accuracy and simulation of complex load changes (such as sudden large current demands or frequent small fluctuations, resulting in test results that are inconsistent with actual usage), so there is room for improvement. Summary of the invention

[0004] In order to solve the problems of insufficient test accuracy and difficulty in simulating complex load changes in electric vehicle motor power supply testing in the prior art, the present application provides a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes.

[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions: The method of testing the dynamic response characteristics of a power supply by simulating power supply load changes includes: Based on a preset load change pattern, a simulated load change sequence is generated, wherein the simulated load change sequence includes a plurality of load values ​​arranged in chronological order, and each load value corresponds to a specific time point; Inputting the simulated load change sequence into the power supply to be tested, and using a multi-channel synchronous test system to control the power supply to be tested to work according to the simulated load change sequence, so as to simulate the load change in actual use; When the power supply under test works according to the simulated load change sequence, a high-precision data acquisition module is used to collect and record the output voltage value, output current value and corresponding timestamp of the power supply under test under different load conditions at a sampling rate not lower than a first set value to form a dynamic response data set; The dynamic response data set is processed using a preset data calibration algorithm to calculate the dynamic response parameters of the power supply to be tested at each load change point.

[0006] By adopting the above technical scheme, the simulated load change sequence is used to simulate the load change of the power supply during actual use; the dynamic response parameters include the voltage change rate, the current change rate and the response time, etc., and the dynamic response parameters are used to characterize the dynamic response characteristics of the power supply to be tested when the load changes; after calculating the dynamic response parameters of the power supply to be tested at each load change point, the dynamic response performance of the power supply to be tested can be evaluated based on the dynamic response parameters to obtain the power supply performance evaluation result; specifically, the present invention can simulate different practical working conditions of motors, that is, simulate the load change of the power supply, by generating a simulated load change sequence based on a preset load change mode, so as to solve the problem that it is difficult to simulate complex load changes during the power supply test, and use multi-channel synchronous testing The system ensures that the dynamic response parameters of the power supply to be tested can be loaded and data collected at the same time point in multiple repetitive tests, so as to improve the full automation of the test process and improve the test accuracy in the data collection process. In the process of power supply load change test, a high-precision data acquisition module (such as a high-precision voltage, current and temperature sensor) is also used to collect the dynamic response parameters of the electric vehicle motor under different load conditions (such as voltage, current and temperature data) in real time, which is conducive to ensuring the accuracy and real-time nature of data collection; further, through the data calibration algorithm, in the data collection process, the sensor data in the data acquisition module is corrected in real time to eliminate the influence of noise and drift on the data acquisition accuracy and improve the test accuracy.

[0007] In a preferred example of the present application: the multi-channel synchronous testing system comprises: Tester, using high-precision resistance measurement and voltage measurement chips; An interface module supports various types of charging interfaces and is compatible with different brands and models of power supplies to be tested, including chargers; Control unit, using high-performance microcontroller; Display screen, using touch LCD screen; The tester is connected to the charger via an interface module and can perform power supply insulation test and power supply reverse connection test alternately.

[0008] By adopting the above technical solutions, the tester uses high-precision resistance measurement and voltage measurement chips to ensure that the collected data has higher accuracy and reduce measurement errors; the high-precision measurement chip can capture rapidly changing signals to ensure the integrity of the data when simulating complex load changes and provide reliable data; the multi-channel synchronous test system also supports various types of charging interfaces, so that the test system can be compatible with different brands and models of power supplies to be tested, which improves the applicability of the system. Users can choose different types of power supplies to be tested according to their needs without changing the test equipment, which improves the flexibility and convenience of the test; and the touch LCD display provides an intuitive user interface, and users can operate through the touch screen to simplify the test process.

[0009] In a preferred example of the present application: the method further includes: Obtaining basic information and designed load parameters of the power supply to be tested, and predicting first predicted operating parameters and second predicted operating parameters of the power supply under different load conditions according to the basic information and designed load parameters; Generate a load parameter comparison table for comparing and adjusting power supply load parameters according to the designed load parameters, the first predicted operating parameters and the second predicted operating parameters; Acquire a load parameter change reference range representing a power supply load parameter change threshold, and generate a power supply load parameter control model according to the load parameter change reference range and the load parameter comparison table; When the power supply to be tested operates according to the simulated load change sequence, the actual operating parameters of the power supply are acquired in real time, and the actual operating parameters are input into the power supply load parameter control model to adjust the load parameters of the power supply.

[0010] By adopting the above technical solution, the basic information of the power supply to be tested (such as model, specification, rated power, etc.) and the design load parameters (such as maximum load, minimum load, typical load, etc.) are obtained, so that the characteristics and design requirements of the power supply can be fully understood. The basic information and design load parameters provide basic data for the subsequent prediction of working parameters to ensure the accuracy of the prediction; by predicting the working parameters of the power supply under different load conditions (such as voltage, current, temperature, etc.), the dynamic response characteristics of the power supply under various load conditions can be understood in advance, and the load parameter comparison table provides a standardized adjustment basis to ensure that the load parameters of the power supply can be accurately adjusted under different load conditions. By obtaining the actual working parameters of the power supply, the load parameters of the power supply are dynamically adjusted to ensure that the performance of the power supply under different load conditions is optimal.

[0011] In a preferred example of the present application, the basic information and designed load parameters of the power supply to be tested are obtained, and according to the basic information and designed load parameters, the first predicted operating parameters and the second predicted operating parameters of the power supply under different load conditions are predicted, specifically including: Obtaining basic information of the power supply to be tested, the basic information including power supply type, rated power, rated current and operating voltage range; Acquire design load parameters, wherein the design load parameters include design load current, design load power, and design working efficiency; predict first predicted working parameters of the power supply under initial load conditions according to the power supply type and rated power in the basic information, and the design load current and design load power in the design load parameters; According to the rated current and the operating voltage range in the basic information and the designed operating efficiency in the designed load parameters, a second predicted operating parameter of the power supply under the variable load condition is predicted.

[0012] By adopting the above technical scheme, based on the acquired power supply type, rated power, rated current and operating voltage range, the basic characteristics and operating range of the power supply to be tested can be fully understood; the design load parameters clarify the load requirements of the power supply in the design stage, and provide specific goals and standards for prediction and testing to help optimize the test plan and ensure that the test conditions meet the test requirements; by predicting the working parameters of the power supply under the initial load conditions (such as voltage, current, temperature, etc.), the performance of the power supply in the initial state can be evaluated, and by predicting the working parameters of the power supply under changing load conditions, the dynamic response characteristics of the power supply under different load conditions can be evaluated, thereby improving the comprehensiveness and reliability of the test.

[0013] In a preferred example of the present application, generating a load parameter comparison table for comparing and adjusting the power supply load parameters according to the designed load parameters, the first predicted operating parameters, and the second predicted operating parameters specifically includes: Obtaining a predicted load operating time according to the designed load current, the predicted output voltage and the predicted output efficiency in the first predicted operating parameter; According to the predicted temperature change in the designed load power and the second predicted working parameter, a predicted load stability index is obtained; according to the predicted load working time and the predicted load stability, combined with the designed working efficiency, a predicted optimal load parameter is obtained; Calculating a ratio of the first prediction working parameter to the second prediction working parameter to obtain a prediction parameter ratio for predicting a change trend of an actual load parameter; A load parameter comparison table for comparing and adjusting power supply load parameters is generated according to the predicted parameter ratio and the predicted optimal load parameters.

[0014] By adopting the above technical scheme, by designing the load current, predicting the output voltage and predicting the output efficiency, the working time of the power supply under the initial load conditions can be evaluated to ensure the continuous working ability of the power supply in actual use, and the predicted load working time provides a basis for optimizing the test cycle to ensure that the timing of the test process is reasonable. By predicting the load stability index, the stability of the power supply under changing load conditions can be evaluated to ensure the reliability and safety of the power supply under different load conditions; predicting temperature changes helps prevent the power supply from overheating, ensures the normal operation of the power supply under high temperature conditions, and improves the service life of the power supply. Then, by comprehensively considering the predicted load working time, predicted load stability and designed working efficiency, the optimal load parameters of the power supply under different load conditions can be obtained to ensure the best performance of the power supply under various conditions. The predicted parameter ratio is conducive to the dynamic adjustment of the load parameters to ensure the optimal performance of the power supply under different load conditions.

[0015] In a preferred example of the present application: before predicting the first predicted operating parameter and the second predicted operating parameter of the power supply under different load conditions according to the basic information and the designed load parameters, the method further includes: Acquire ambient temperature information and heat dissipation system efficiency of the power supply to be tested, and determine the temperature change rate of the power supply according to the ambient temperature information and the heat dissipation system efficiency; Obtaining a first adjustment factor for adjusting a first prediction operating parameter according to the temperature change rate; The predicting, according to the basic information and the designed load parameters, the first predicted operating parameters of the power supply under different load conditions specifically includes: A first predicted operating parameter of the power supply under an initial load condition is predicted according to the first adjustment factor, the rated power in the basic information, and the designed load current in the designed load parameter.

[0016] By adopting the above technical solution, the ambient temperature information and the efficiency of the heat dissipation system can comprehensively evaluate the impact of the external environment on the power supply performance. The ambient temperature and the efficiency of the heat dissipation system are important factors that affect the temperature change of the power supply. Obtaining this information helps to improve the accuracy of the prediction; the evaluation of the temperature change rate helps to prevent the power supply from overheating, ensure the normal operation of the power supply under high temperature conditions, and improve the service life and reliability of the power supply; by introducing the first adjustment factor, the operating parameters of the power supply under different load conditions can be more accurately predicted, and the accuracy of the prediction can be improved. The first adjustment factor can dynamically adjust the predicted operating parameters according to the temperature change rate to ensure that the prediction results are more accurate and reliable.

[0017] In a preferred example of the present application, the real-time acquisition of actual operating parameters of the power supply and inputting the actual operating parameters into the power supply load parameter control model to adjust the load parameters of the power supply specifically include: Real-time acquisition of the actual output voltage, actual output current, power factor, temperature and actual working efficiency of the power supply as actual working parameters; Inputting the actual working parameters into the power supply load parameter control model to obtain load parameter adjustment instructions; According to the load parameter adjustment instruction, the load current and / or load power of the power supply is dynamically adjusted so that the power supply works in an optimal load state.

[0018] By adopting the above technical solution, the working state of the power supply is fully monitored, the actual working parameters are input into the power supply load parameter control model, and the load parameter adjustment instructions are intelligently generated to ensure the optimal performance of the power supply under different load conditions; the control model can analyze the actual working parameters in real time, generate adjustment instructions, ensure the dynamic response characteristics and stability of the power supply, and ensure the output stability and efficiency of the power supply by dynamically adjusting the load current and / or load power, optimize the working state of the power supply, and the dynamic adjustment mechanism enables the power supply to adapt to changes in different load conditions, ensuring the optimal performance under various working conditions.

[0019] In a preferred example of the present application, after obtaining a load parameter change reference range representing a power supply load parameter change threshold, and generating a power supply load parameter control model according to the load parameter change reference range and the load parameter comparison table, the present application further includes: According to the historical test data set of the power supply to be tested, the historical load parameter data of the power supply to be tested under different load conditions are identified and obtained, and the working operation mode information of the power supply to be tested is obtained accordingly, wherein the working operation mode information includes a plurality of working operation stage intervals corresponding to different load change modes, and the associated device identifier of the power supply to be tested; Based on the device identification, a historical control data set of each power supply to be tested is obtained, and training optimization based on load changes is performed in the power supply load parameter control model to obtain a final power supply load parameter control model; In the final power supply load parameter control model, according to the load factor correlation coefficients of all the power supplies to be tested and the load parameter adjustment strategies corresponding to the historical control data set, the minimum load parameter values ​​of each power supply to be tested in each working operation stage interval are determined to generate the optimal load parameter control strategy; The load parameters of the power supply to be tested are regulated according to the optimal load parameter regulation strategy.

[0020] By adopting the above technical solution, historical load parameter data and working operation mode information provide a comprehensive evaluation basis, so that the test and optimization process covers the performance of the power supply under various load conditions. By associating device identification, different types of power supplies to be tested can be managed in a standardized manner; this application can perform personalized training optimization for different types of power supplies to be tested to improve the adaptability and accuracy of the model; the training optimization process uses a machine learning algorithm to generate a final power supply load parameter control model based on historical data to ensure that the model can intelligently adjust the load parameters and improve the dynamic response characteristics and stability of the power supply. At the same time, through the load factor correlation coefficient and the historical control data set, the load parameters of each power supply to be tested in different working operation stages can be finely adjusted to ensure the optimal performance of each stage. The optimal load parameter control strategy can ensure that the power supply operates in the optimal state globally.

[0021] In a preferred example of the present application: the method further includes: According to the historical test data set of the power supply to be tested, the load parameter change trend of each power supply to be tested under different conditions is analyzed; according to the load parameter change trend, the associated load factor between each power supply to be tested is calculated, and the associated load factor reflects the mutual influence degree of load change between different power supplies to be tested; The load factor correlation coefficients of all power supplies to be tested are calculated based on the device identification and the associated load factor.

[0022] By adopting the above technical solution, the historical test data set can identify the load parameter change trend of each power supply under different load conditions, such as the change law of parameters such as voltage, current, and temperature. The analysis of the load parameter change trend is helpful to discover potential problems or abnormalities at an early stage, and provide a basis for subsequent optimization and adjustment. The associated load factor can evaluate the mutual influence of load changes between different power supplies under test, ensuring that in a multi-power supply system, the load parameter changes of each power supply will not interfere with each other, and by evaluating and optimizing the associated load factor, the stability and reliability of the entire system can be improved, and the performance degradation of other power supplies due to the load change of a certain power supply can be avoided; the load factor correlation coefficient provides a basis for global optimization, ensuring that in a multi-power supply system, the load parameters of each power supply can reach the optimal state in a global range, and the calculation of the load factor correlation coefficient helps to optimize the load distribution of the entire system and improve the overall efficiency and performance of the system.

[0023] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions: The device for testing the dynamic response characteristics of a power supply by simulating the change of the power supply load is applied to the method for testing the dynamic response characteristics of a power supply by simulating the change of the power supply load as described above: In summary, the present application includes at least one of the following beneficial technical effects: 1. The present invention can simulate different practical working conditions of motors, that is, simulate the load change of power supply, by generating a simulated load change sequence based on a preset load change mode, so as to solve the problem that it is difficult to simulate complex load changes during the power supply test process. A multi-channel synchronous test system is used to ensure that the dynamic response parameters of the power supply to be tested can be loaded and data collected at the same time point in multiple repetitive tests, so as to improve the full automation of the test process and the test accuracy in the data collection process. In the process of power supply load change test, a high-precision data acquisition module (such as a high-precision voltage, current and temperature sensor) is also used to collect the dynamic response parameters (such as voltage, current and temperature data) of the electric vehicle motor under different load conditions in real time, which is conducive to ensuring the accuracy and real-time performance of data collection. Furthermore, through a data calibration algorithm, in the data collection process, the sensor data in the data acquisition module is corrected in real time to eliminate the influence of noise and drift on the data collection accuracy, thereby improving the test accuracy. 2. The historical test data set can identify the load parameter change trends of each power supply under different load conditions, such as the change rules of parameters such as voltage, current, and temperature. The analysis of the load parameter change trend is helpful to discover potential problems or abnormalities at an early stage, and provide a basis for subsequent optimization and adjustment. The associated load factor can evaluate the mutual influence of load changes between different power supplies under test, ensuring that in a multi-power supply system, the load parameter changes of each power supply will not interfere with each other. By evaluating and optimizing the associated load factor, the stability and reliability of the entire system can be improved, and the performance degradation of other power supplies due to load changes of a certain power supply can be avoided; the load factor correlation coefficient provides a basis for global optimization, ensuring that in a multi-power supply system, the load parameters of each power supply can reach the optimal state in a global range. The calculation of the load factor correlation coefficient helps to optimize the load distribution of the entire system and improve the overall efficiency and performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flow chart of a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes in one embodiment of the present application; Figure 2 is another flow chart of a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes in one embodiment of the present application; Figure 3 It is a flowchart of step S10 in a method for testing the dynamic response characteristics of a power supply by simulating a power supply load change in an embodiment of the present application; Figure 4 This is a flowchart of step S20 in a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The present application is further described in detail below in conjunction with the accompanying drawings.

[0026] In one embodiment, if Figure 1 As shown, the present application discloses a method for testing the dynamic response characteristics of a power supply by simulating power supply load changes, which specifically includes the following steps: S1: Based on a preset load change pattern, a simulated load change sequence is generated, where the simulated load change sequence includes a plurality of load values ​​arranged in chronological order, and each load value corresponds to a specific time point.

[0027] In this embodiment, the load change mode includes step change, linear change and random change; the sequence generated by simulating the load change sequence includes a plurality of load values ​​arranged in chronological order, and each load value corresponds to a specific time point.

[0028] S2: Input the simulated load change sequence to the power supply under test, and use the multi-channel synchronous test system to control the power supply under test to work according to the simulated load change sequence to simulate the load changes in actual use.

[0029] In this embodiment, the multi-channel synchronous test system includes a tester, an interface module, a control unit and a display screen. The tester adopts high-precision resistance measurement and voltage measurement chips; the interface module supports various types of charging interfaces and is compatible with different brands and models of power supplies to be tested, and the power supplies to be tested include chargers; the control unit adopts a high-performance microcontroller; the display screen adopts a touch-screen LCD; the tester is connected to the charger through the interface module, and can perform power supply insulation tests and power supply reverse connection tests alternately.

[0030] Specifically, the generated simulated load change sequence is input into the multi-channel synchronous test system, and the load change sequence is transmitted to the power supply under test through the interface module, so that the power supply under test is controlled to operate according to a predetermined load change mode; the multi-channel synchronous test system can control and collect multiple test parameters of the power supply under test, and ensure that multiple test parameters are collected synchronously at the same time point, thereby improving the accuracy and consistency of the test.

[0031] S3: When the power supply under test operates according to the simulated load change sequence, a high-precision data acquisition module is used to collect and record the output voltage value, output current value and corresponding timestamp of the power supply under test under different load conditions at a sampling rate not lower than a first set value to form a dynamic response data set.

[0032] In this embodiment, the dynamic response data set includes a data set of an output voltage value, an output current value and a corresponding time stamp, and the first setting value is used to limit the minimum value of the sampling rate, such as 1 MHz.

[0033] S4: Process the dynamic response data set using a preset data calibration algorithm to calculate the dynamic response parameters of the power supply under test at each load change point.

[0034] In this embodiment, a data calibration algorithm (such as Kalman filtering, mean filtering, etc.) is used to improve the accuracy and reliability of data and eliminate noise and drift; dynamic response parameters are used to evaluate the performance of the power supply at different load change points and provide detailed test results; Specifically, a preset data calibration algorithm is used to process the dynamic response data set, correct the noise and drift in the data, and calculate the dynamic response parameters of the power supply under test at each load change point, such as voltage stability, current change rate, temperature change, etc.

[0035] For example, an electric vehicle charging system needs to maintain a stable output under different load conditions to ensure the safety and efficiency of battery charging and discharging.

[0036] The implementation plan includes: 1. Generate a simulated load change sequence: Generate a simulated load change sequence containing multiple load values ​​according to different charging stages of electric vehicles (such as fast charging, slow charging, trickle charging, etc.); 2. Control the operation of the charger: input the generated load change sequence into the charger, and control the charger to operate according to the predetermined load change mode; 3. Collect dynamic response data: Use a high-precision data acquisition module to collect the charger's output voltage value, output current value and corresponding timestamp at a sampling rate of no less than 1MHz; 4. Process dynamic response data: Use the Kalman filter algorithm to process the collected data and calculate the dynamic response parameters of the charger at each load change point, such as voltage stability, current change rate, etc. 5. Generate test report: Generate a detailed test report to evaluate the performance of the charger under different load conditions and provide data support for optimizing the design and performance of the charger.

[0037] In one embodiment, if Figure 2 As shown, the method for testing the dynamic response characteristics of a power supply by simulating a power supply load change also includes: S10: Obtain basic information and design load parameters of the power supply to be tested, and predict first predicted operating parameters and second predicted operating parameters of the power supply under different load conditions according to the basic information and the design load parameters.

[0038] In this embodiment, the basic information includes power supply type, rated power, rated current and operating voltage range; the design load parameters include design load current, design load power, and design working efficiency; the first predicted working parameter refers to the predicted output voltage, output current, and temperature of the power supply under initial load conditions, and the second predicted working parameter refers to the predicted output voltage, output current, and temperature of the power supply under changing load conditions.

[0039] Specifically, according to the basic information and the designed load parameters, simulation software or a mathematical model is used to predict the first predicted operating parameters and the second predicted operating parameters of the power supply under different load conditions.

[0040] S20: generating a load parameter comparison table for comparing and adjusting the power supply load parameters according to the designed load parameters, the first predicted operating parameters and the second predicted operating parameters.

[0041] In this embodiment, the load parameter comparison table includes predicted operating parameters under different load conditions, which are used to compare and adjust the load parameters of the power supply.

[0042] S30: Obtain a load parameter change reference range representing a power supply load parameter change threshold, and generate a power supply load parameter control model according to the load parameter change reference range and a load parameter comparison table.

[0043] In this embodiment, the load parameter change threshold sets the allowable range of power supply load parameter change; the power supply load parameter control model is a model for adjusting the power supply load parameters generated based on the load parameter change reference range and the load parameter comparison table, and the power supply load parameter control model is generated using a machine learning algorithm (such as a neural network, a support vector machine) or control theory.

[0044] S40: When the power supply to be tested operates according to the simulated load change sequence, actual operating parameters of the power supply are obtained in real time, and the actual operating parameters are input into a power supply load parameter control model to adjust the load parameters of the power supply.

[0045] In this embodiment, adjusting the load parameters of the power supply includes inputting actual operating parameters into a power supply load parameter control model, and dynamically adjusting the load current and / or load power of the power supply so that the power supply operates in an optimal load state.

[0046] Specifically, when the power supply to be tested is working according to the simulated load change sequence, a high-precision data acquisition module is used to obtain the actual working parameters of the power supply in real time, including output voltage, output current, power factor, temperature and actual working efficiency. The actual working parameters are input into the power supply load parameter control model, and the load current and / or load power of the power supply are dynamically adjusted to make the power supply work in the optimal load state.

[0047] Exemplarily, the rated power of the charger is 50kW, the rated current is 100A, the operating voltage range is 200V-500V, the designed load current is 50A, the designed load power is 25kW, and the designed working efficiency is 95%; a comparison table containing predicted working parameters under different load conditions is generated, such as when the load current is 50A, the predicted output voltage is 300V, the output current is 50A, and the temperature is 40°C, and the load parameter change threshold is set to ±5%, and a power supply load parameter control model is generated. In the process of the charger working according to the simulated load change sequence, the actual working parameters of the charger are collected in real time, input into the power supply load parameter control model, and the load current and / or load power of the charger are dynamically adjusted to make the charger work in the optimal load state. For example, when the actual output voltage is detected to be 295V, the load current is adjusted to restore the output voltage to 300V.

[0048] In one embodiment, if Figure 3 As shown, in step S10, basic information and design load parameters of the power supply to be tested are obtained, and first predicted operating parameters and second predicted operating parameters of the power supply under different load conditions are predicted according to the basic information and the design load parameters, specifically including: S101: Obtain basic information of the power supply to be tested, where the basic information includes power supply type, rated power, rated current, and operating voltage range.

[0049] Specifically, the rated power refers to the maximum output power of the power supply, the rated current refers to the maximum output current of the power supply, and the operating voltage range refers to the input voltage range of the power supply. S102: Obtaining design load parameters, where the design load parameters include design load current, design load power, and design work efficiency.

[0050] Specifically, the design load current refers to the maximum load current expected when the power supply is designed, the design load power refers to the maximum load power expected when the power supply is designed, and the design working efficiency refers to the working efficiency expected when the power supply is designed.

[0051] S103: Predicting first predicted operating parameters of the power supply under the initial load condition according to the power supply type and rated power in the basic information, and the designed load current and designed load power in the designed load parameters.

[0052] In this embodiment, simulation software or a mathematical model is used to predict the first predicted operating parameters of the power supply under the initial load condition according to the power supply type and rated power, as well as the designed load current and designed load power.

[0053] S104: predicting a second predicted operating parameter of the power supply under a variable load condition according to the rated current and the operating voltage range in the basic information and the designed operating efficiency in the designed load parameter.

[0054] In this embodiment, simulation software or a mathematical model is used to predict the second predicted operating parameter of the power supply under the varying load condition according to the rated current and the operating voltage range, and the designed operating efficiency.

[0055] Exemplarily, the implementation steps of the technical solution of this embodiment include: obtaining basic information: the power supply type of the power management system is a linear power supply, the rated power is 100kW, the rated current is 200A, and the operating voltage range is 200V-400V.

[0056] Get the design load parameters: the design load current is 100A, the design load power is 50kW, and the design working efficiency is 98%.

[0057] Predict the first predicted operating parameters under the initial load condition: Use the simulation software to predict that the output voltage of the power management system under the initial load condition is 300V, the output current is 100A, and the temperature is 35°C.

[0058] Predicting the second predicted operating parameters under varying load conditions: The simulation software is used to predict the output voltage range of the power management system under varying load conditions to be 250V-350V, the output current range to be 100A-200A, and the temperature range to be 30°C-50°C.

[0059] In one embodiment, if Figure 4 As shown, in step S20, it specifically includes: S201: Obtain predicted load operating time according to the designed load current, the predicted output voltage and the predicted output efficiency in the first predicted operating parameter.

[0060] In this embodiment, the design load current is the maximum load current expected when the power supply is designed, the first predicted operating parameter refers to the predicted output voltage and predicted output efficiency of the power supply under the initial load conditions, and the predicted load operating time refers to the estimated operating time of the power supply under the initial load conditions calculated based on the design load current, the predicted output voltage and the predicted output efficiency.

[0061] S202: Obtain a predicted load stability index according to the designed load power and the predicted temperature change in the second predicted operating parameter.

[0062] Specifically, the design load power is the maximum load power expected when the power supply is designed, and the predicted load stability index refers to a stability index of the power supply under changing load conditions calculated based on the design load power and predicted temperature changes.

[0063] S203: Obtaining predicted optimal load parameters according to the predicted load working time and predicted load stability in combination with the design work efficiency.

[0064] Specifically, the predicted load operating time is the expected operating time of the power supply under the initial load conditions, the second predicted operating parameter refers to the predicted temperature change of the power supply under the changing load conditions, and the design working efficiency refers to the working efficiency expected when the power supply is designed; the predicted optimal load parameter refers to the optimal load parameter of the power supply under different load conditions calculated by combining the predicted load operating time, the predicted load stability, and the design working efficiency.

[0065] S204: Calculate the ratio of the first predicted operating parameter to the second predicted operating parameter to obtain a predicted parameter ratio for predicting a trend of actual load parameter changes.

[0066] Specifically, the predicted parameter ratio is used to predict the change trend of the actual load parameter.

[0067] S205: generating a load parameter comparison table for comparing and adjusting the power supply load parameters according to the predicted parameter ratio and the predicted optimal load parameters.

[0068] Exemplarily, in combination with the predicted load working time (1 hour), predicted load stability (98%) and designed working efficiency (95%) of the power supply to be tested, simulation software is used to calculate the predicted optimal load parameters (such as output voltage 300V, output current 50A); the ratio of the first predicted working parameter (such as output voltage 300V) to the second predicted working parameter (such as output voltage 350V) is calculated (such as 0.857); based on the predicted parameter ratio (0.857) and the predicted optimal load parameters (such as output voltage 300V, output current 50A), a load parameter comparison table is generated.

[0069] In one embodiment, before step S1, the method for testing the dynamic response characteristics of a power supply by simulating a power supply load change further includes: S111: Acquire ambient temperature information and heat dissipation system efficiency of the power supply to be tested, and determine the temperature change rate of the power supply according to the ambient temperature information and the heat dissipation system efficiency.

[0070] In this embodiment, by judging the temperature change rate, the temperature change trend of the power supply under different load conditions can be predicted, and the heat dissipation performance of the power supply can be evaluated by the efficiency of the heat dissipation system to ensure that the temperature change of the power supply under high load conditions is within a controllable range.

[0071] S112: Obtaining a first adjustment factor for adjusting a first prediction operating parameter according to the temperature change rate.

[0072] Specifically, the first adjustment factor takes into account the impact of temperature changes on power supply performance and improves the reliability of the prediction. For example, based on the ambient temperature information (30°C) and the heat dissipation system efficiency (90%), the simulation software is used to calculate the temperature change rate of the charger (such as an increase of 0.5°C per minute). Based on the temperature change rate (an increase of 0.5°C per minute), the simulation software is used to calculate the first adjustment factor (such as 1.05).

[0073] In this embodiment, according to the basic information and the designed load parameters, predicting the first predicted operating parameters of the power supply under different load conditions specifically includes: S100: predicting first predicted operating parameters of the power supply under an initial load condition according to the first adjustment factor, the rated power in the basic information, and the designed load current in the designed load parameter.

[0074] Specifically, based on the first adjustment factor (1.05), the rated power (50kW) in the basic information and the design load current (50A) in the design load parameters, simulation software is used to predict the first predicted operating parameters of the charger under the initial load conditions (such as output voltage 315V, output current 52.5A, temperature 31.5°C).

[0075] In one embodiment, in step S40, the actual operating parameters of the power supply are acquired in real time, and the actual operating parameters are input into the power supply load parameter control model to adjust the load parameters of the power supply, specifically including: S401: Acquire the actual output voltage, actual output current, power factor, temperature and actual working efficiency of the power supply in real time as actual working parameters.

[0076] S402: Input the actual working parameters into the power supply load parameter control model to obtain load parameter adjustment instructions.

[0077] In this embodiment, a load parameter adjustment instruction is intelligently generated through a power supply load parameter control model, and the load current and / or load power of the power supply is dynamically adjusted according to the load parameter adjustment instruction.

[0078] S403: Dynamically adjust the load current and / or load power of the power supply according to the load parameter adjustment instruction, so that the power supply works in an optimal load state.

[0079] In this embodiment, the load current and / or load power of the power supply is dynamically adjusted according to the load parameter adjustment instruction through the power supply controller, the interface module, and the actuator (such as a relay, a frequency converter).

[0080] In one embodiment, after step S30, the method for testing the dynamic response characteristics of a power supply by simulating a power supply load change further includes: S301: Based on the historical test data set of the power supply to be tested, identify and obtain the historical load parameter data of the power supply to be tested under different load conditions, and obtain the corresponding working operation mode information of the power supply to be tested, the working operation mode information includes multiple working operation stage intervals corresponding to different load change modes, and the associated equipment identification of the power supply to be tested.

[0081] S302: Obtain a historical control data set of each power supply to be tested based on the device identification, perform training optimization based on load changes in the power supply load parameter control model, and obtain a final power supply load parameter control model.

[0082] In this embodiment, the historical control data set includes historical control data of each power supply to be tested, including changes in load parameters before and after control.

[0083] S303: In the final power supply load parameter control model, according to the load factor correlation coefficients of all the power supplies under test and the load parameter adjustment strategies corresponding to the historical control data set, the minimum load parameter values ​​of each power supply under test in each working operation stage interval are determined to generate the optimal load parameter control strategy.

[0084] S304: regulating the load parameters of the power supply to be tested according to the optimal load parameter regulation strategy.

[0085] In this embodiment, the load parameters of the power supply are dynamically adjusted according to the optimal load parameter control strategy to ensure that the power supply is always in the optimal working state within each working operation stage interval.

[0086] In one embodiment, the method for testing the dynamic response characteristics of a power supply by simulating a power supply load change further includes: S121: Analyze the load parameter variation trend of each power supply under different conditions based on the historical test data set of the power supply under test.

[0087] In this embodiment, the historical test data set includes historical test data of the power supply to be tested under different load conditions; the load parameter change trend is used to analyze the change trend of the load parameters (such as output voltage, output current, temperature, etc.) of the power supply to be tested under different load conditions.

[0088] Specifically, data centers usually contain multiple power modules, which need to maintain a stable power supply under different load conditions to ensure the normal operation of servers and other equipment. First, analyze the load parameter change trend: the historical test data set includes the output voltage, output current, temperature and other parameters of power modules A, B, and C under different load conditions. The analysis results show that the output voltage of power module A drops slightly under high load conditions.

[0089] S122: Calculate the associated load factors between the power supplies to be tested according to the load parameter change trend, where the associated load factors reflect the mutual influence degree of load changes between the different power supplies to be tested.

[0090] In this embodiment, the associated load factor reflects the mutual influence degree of load changes between different power supplies to be tested; by calculating the associated load factor, the mutual influence degree between different power supplies can be understood.

[0091] Specifically, according to the load parameter change trend, a statistical method or a machine learning algorithm is used to calculate the associated load factors between the various power supplies to be tested, and the associated load factors reflect the degree of mutual influence of load changes between different power supplies to be tested.

[0092] S123: Calculate the load factor correlation coefficients of all power supplies to be tested by combining the device identification and the associated load factor.

[0093] Exemplarily, according to the load parameter change trend, the associated load factor between power modules A, B, and C is calculated. The results show that the associated load factor between power modules A and B is 0.90, and the associated load factor between power modules A and C is 0.75; combined with the device identification (power module number) and the associated load factor, the load factor correlation coefficient of all power modules is calculated. The results show that the load factor correlation coefficients of power modules A, B, and C are 0.90, 0.75, and 0.70, respectively. The technical solution of this embodiment can effectively test and evaluate the dynamic response characteristics of the power supply under different load conditions, and provide a scientific basis for optimizing the design and performance of the power supply. It not only improves the accuracy and repeatability of the test, but also can more realistically simulate the actual use scenario, ensuring the best performance and stability of the power supply under various working conditions. By analyzing the load parameter change trend, calculating the associated load factor, and combining the device identification and the associated load factor, the solution is particularly suitable for scenarios where multiple power supplies work together, such as electric vehicle charging stations and data center power management systems.

[0094] In this embodiment, the dynamic response characteristics of the power supply are comprehensively evaluated, including: Where, E is the comprehensive evaluation index of the dynamic response characteristics of the power supply; n is the total number of load change points; α, β, γ, δ are the weight coefficients of voltage response, current response, power factor change and temperature response, respectively, satisfying α+β+γ+δ=1; V ri , I ri , T ri are the actual voltage response value, actual current response value, actual power factor value and actual temperature response value at the i-th load change point respectively; V ti , I ti , T ti are the corresponding target voltage response value, target current response value, target power factor value and target temperature response value respectively.

[0095] Specifically, the comprehensive evaluation index E is used to quantitatively evaluate the dynamic response performance of the power supply during the simulated load change process. The load change point n is the number of load changes experienced by the power supply during the test. The weight coefficients α, β, γ, and δ represent the importance of voltage response, current response, power factor change, and temperature response, respectively.

[0096] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0097] In one embodiment, a device for testing the dynamic response characteristics of a power supply by simulating power supply load changes is provided. The device for testing the dynamic response characteristics of a power supply by simulating power supply load changes corresponds to the method for testing the dynamic response characteristics of a power supply by simulating power supply load changes in the above-mentioned embodiment.

[0098] Regarding the specific limitations of the device for testing the dynamic response characteristics of a power supply by simulating power supply load changes, please refer to the limitations of the method for testing the dynamic response characteristics of a power supply by simulating power supply load changes in the above text, which will not be repeated here; each module in the above-mentioned device for testing the dynamic response characteristics of a power supply by simulating power supply load changes can be fully or partially implemented by software, hardware and a combination thereof; each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0099] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0100] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for testing the dynamic response characteristics of a power supply by simulating power supply load changes, characterized in that: include: Based on a preset load change pattern, a simulated load change sequence is generated, wherein the simulated load change sequence includes a plurality of load values ​​arranged in chronological order, and each load value corresponds to a specific time point; Inputting the simulated load change sequence into the power supply to be tested, and using a multi-channel synchronous test system to control the power supply to be tested to work according to the simulated load change sequence, so as to simulate the load change in actual use; When the power supply under test works according to the simulated load change sequence, a high-precision data acquisition module is used to collect and record the output voltage value, output current value and corresponding timestamp of the power supply under test under different load conditions at a sampling rate not lower than a first set value to form a dynamic response data set; The dynamic response data set is processed using a preset data calibration algorithm to calculate the dynamic response parameters of the power supply to be tested at each load change point.

2. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 1, characterized in that: The multi-channel synchronous testing system comprises: Tester, using high-precision resistance measurement and voltage measurement chips; An interface module supports various types of charging interfaces and is compatible with different brands and models of power supplies to be tested, including chargers; Control unit, using high-performance microcontroller; Display screen, using touch LCD screen; The tester is connected to the charger via an interface module and can perform power supply insulation test and power supply reverse connection test alternately.

3. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 1, characterized in that: The method also includes: Obtaining basic information and designed load parameters of the power supply to be tested, and predicting first predicted operating parameters and second predicted operating parameters of the power supply under different load conditions according to the basic information and designed load parameters; Generate a load parameter comparison table for comparing and adjusting power supply load parameters according to the designed load parameters, the first predicted operating parameters and the second predicted operating parameters; Acquire a load parameter change reference range representing a power supply load parameter change threshold, and generate a power supply load parameter control model according to the load parameter change reference range and the load parameter comparison table; When the power supply to be tested operates according to the simulated load change sequence, the actual operating parameters of the power supply are acquired in real time, and the actual operating parameters are input into the power supply load parameter control model to adjust the load parameters of the power supply.

4. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 3, characterized in that: The obtaining of basic information and designed load parameters of the power supply to be tested, and predicting first predicted operating parameters and second predicted operating parameters of the power supply under different load conditions according to the basic information and designed load parameters, specifically includes: Obtaining basic information of the power supply to be tested, the basic information including power supply type, rated power, rated current and operating voltage range; Obtaining designed load parameters, wherein the designed load parameters include designed load current, designed load power, and designed work efficiency; Predicting a first predicted operating parameter of the power supply under an initial load condition according to the power supply type and rated power in the basic information, and the designed load current and designed load power in the designed load parameters; According to the rated current and the operating voltage range in the basic information and the designed operating efficiency in the designed load parameters, a second predicted operating parameter of the power supply under the variable load condition is predicted.

5. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 3, characterized in that: The step of generating a load parameter comparison table for adjusting the power supply load parameter based on the designed load parameter, the first predicted operating parameter and the second predicted operating parameter specifically includes: Obtaining a predicted load operating time according to the designed load current, the predicted output voltage and the predicted output efficiency in the first predicted operating parameter; Obtaining a predicted load stability index according to the designed load power and the predicted temperature change in the second predicted operating parameter; According to the predicted load working time and the predicted load stability, combined with the designed working efficiency, a predicted optimal load parameter is obtained; Calculating a ratio of the first prediction working parameter to the second prediction working parameter to obtain a prediction parameter ratio for predicting a change trend of an actual load parameter; A load parameter comparison table for comparing and adjusting power supply load parameters is generated according to the predicted parameter ratio and the predicted optimal load parameters.

6. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 3 or 4, characterized in that: Before predicting the first predicted operating parameter and the second predicted operating parameter of the power supply under different load conditions according to the basic information and the designed load parameters, the method further includes: Acquire ambient temperature information and heat dissipation system efficiency of the power supply to be tested, and determine the temperature change rate of the power supply according to the ambient temperature information and the heat dissipation system efficiency; Obtaining a first adjustment factor for adjusting a first prediction operating parameter according to the temperature change rate; The predicting, according to the basic information and the designed load parameters, the first predicted operating parameters of the power supply under different load conditions specifically includes: A first predicted operating parameter of the power supply under an initial load condition is predicted according to the first adjustment factor, the rated power in the basic information, and the designed load current in the designed load parameter.

7. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 3, characterized in that: The real-time acquisition of actual working parameters of the power supply and inputting the actual working parameters into the power supply load parameter control model to adjust the load parameters of the power supply specifically includes: Real-time acquisition of the actual output voltage, actual output current, power factor, temperature and actual working efficiency of the power supply as actual working parameters; Inputting the actual working parameters into the power supply load parameter control model to obtain load parameter adjustment instructions; According to the load parameter adjustment instruction, the load current and / or load power of the power supply is dynamically adjusted so that the power supply works in an optimal load state.

8. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 3, characterized in that: After acquiring the load parameter change reference range representing the power supply load parameter change threshold, and generating the power supply load parameter control model according to the load parameter change reference range and the load parameter comparison table, the method further includes: According to the historical test data set of the power supply to be tested, the historical load parameter data of the power supply to be tested under different load conditions are identified and obtained, and the working operation mode information of the power supply to be tested is obtained accordingly, wherein the working operation mode information includes a plurality of working operation stage intervals corresponding to different load change modes, and the associated device identifier of the power supply to be tested; Based on the device identification, a historical control data set of each power supply to be tested is obtained, and training optimization based on load changes is performed in the power supply load parameter control model to obtain a final power supply load parameter control model; In the final power supply load parameter control model, according to the load factor correlation coefficients of all the power supplies to be tested and the load parameter adjustment strategies corresponding to the historical control data set, the minimum load parameter values ​​of each power supply to be tested in each working operation stage interval are determined to generate the optimal load parameter control strategy; The load parameters of the power supply to be tested are regulated according to the optimal load parameter regulation strategy.

9. The method for testing the dynamic response characteristics of a power supply by simulating power supply load changes according to claim 8, characterized in that: The method also includes: Based on the historical test data set of the power supply to be tested, analyze the load parameter change trend of each power supply to be tested under different conditions; Calculating the associated load factors between the power supplies to be tested according to the load parameter change trend, wherein the associated load factors reflect the mutual influence degree of the load changes between the different power supplies to be tested; The load factor correlation coefficients of all power supplies to be tested are calculated based on the device identification and the associated load factor.

10. A device for testing the dynamic response characteristics of a power supply by simulating power supply load changes, characterized in that: A method for testing the dynamic response characteristics of a power supply by simulating power supply load changes as described in any one of claims 1 to 9.

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