Method and system for testing performance parameters of direct-current stabilized power supply
By setting multiple output voltages in the DC voltage-regulating power supply test and analyzing the frequency domain data, filtering the characteristic frequency of ripple, and calculating the ripple floating ratio, the test inaccurate problem under the influence of electromagnetic waves is solved, and a comprehensive and accurate evaluation and fault identification of the performance of DC voltage-regulating power supply is achieved.
Patent Information
- Application Number
- CN202510863635.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-26
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2045-06-26
AI Technical Summary
The traditional DC voltage-regulated power supply performance testing method fails to effectively consider the impact of electromagnetic waves on the measurement data, resulting in inaccurate test results.
By setting multiple target output voltages, collecting output voltage data and dividing it into sub-periods, converting it to the frequency domain to obtain the amplitude distribution coefficient, filtering the characteristic frequency of ripple, calculating the difference between ripple and ripple floating ratio, and evaluating power supply performance.
A comprehensive and accurate evaluation of the performance of DC voltage-regulated power supply is achieved, the causes of voltage fluctuations can be identified, potential faults can be discovered in a timely manner, and the reliability of test results can be improved.
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Figure CN120405496A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of performance testing of DC regulated power supplies, and particularly to a method and system for testing performance parameters of a DC regulated power supply. Background Art
[0002] A DC regulated power supply is a power supply device that can output a stable DC voltage. Its main function is to provide a stable power supply for electronic devices, ensuring the normal operation of electronic devices and avoiding damage caused by voltage fluctuations. The DC regulated power supply converts alternating current (AC) into direct current (DC) and uses a voltage regulation circuit to ensure that the output voltage remains stable when the load changes or the input voltage fluctuates. It is an essential basic device in modern electronic technology. Therefore, when using a DC regulated power supply, it is necessary to test the performance of the DC regulated power supply.
[0003] The traditional method generally checks whether the output voltage of the DC regulated power supply is stable by the threshold value of the power supply output voltage. However, due to a large amount of electromagnetic waves existing during the use of the DC regulated power supply, the electromagnetic waves will affect the accuracy of the measurement data. The traditional method fails to fully consider the influence of electromagnetic waves on the measurement data of the DC regulated power supply, resulting in inaccurate test results when directly testing the performance of the DC regulated power supply through the measurement data. Summary of the Invention
[0004] In view of the above, it is necessary to provide a method and system for testing performance parameters of a DC regulated power supply, which can achieve a comprehensive and accurate evaluation of the performance of the DC regulated power supply compared with the traditional method for testing performance parameters of a DC regulated power supply:
[0005] In a first aspect, an embodiment of the present application provides a method for testing performance parameters of a DC regulated power supply, and the method includes the following steps:
[0006] Set the target output voltages of the DC regulated power supply, and collect the output voltage data of the DC regulated power supply within a preset time period under each target output voltage;
[0007] Evenly divide each preset time period into each sub-time period and number them respectively according to the time sequence, convert the output voltage data within each sub-time period into the frequency domain respectively, and obtain the amplitude distribution coefficients of each same frequency under each target output voltage through the distribution of the frequency amplitudes of all sub-time periods under each target output voltage at each same frequency;
[0008] By the distribution of the amplitude distribution coefficients of all the same frequencies at each target output voltage, screen each ripple characteristic frequency from all the same frequencies; by the variation of the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-period under all target output voltages, obtain the amplitude variation characteristic values of each same ripple characteristic frequency at each same serial number sub-period; by the growth of the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-period with the increase of the target output voltage, and combining the dispersion of the amplitude variation characteristic values of each same ripple characteristic frequency at all same serial number sub-periods, obtain the ripple co-frequency difference degree of each same ripple characteristic frequency.
[0009] By the distribution of the ripple co-frequency difference degrees of all the same ripple characteristic frequencies under all target output voltages, screen each ripple frequency from all the same ripple characteristic frequencies, respectively convert all the ripple frequencies and frequency amplitudes at each target output voltage to the time domain, and by comparing each target output voltage with its time domain conversion result, obtain the ripple fluctuation ratio of each target output voltage.
[0010] Evaluate the abnormal conditions of the performance of the DC regulated power supply by the ripple fluctuation ratio.
[0011] In one embodiment, the process of obtaining the amplitude distribution coefficient is as follows:
[0012] Statistically calculate the minimum value of the frequency amplitudes of all sub-periods at each same frequency under each target output voltage, and calculate the kurtosis of the frequency amplitudes of all sub-periods at each same frequency under each target output voltage in time series.
[0013] The amplitude distribution coefficient is directly proportional to the minimum value and inversely proportional to the kurtosis.
[0014] In one embodiment, the process of screening each ripple characteristic frequency from all the same frequencies is as follows:
[0015] For each target output voltage, statistically calculate the maximum value of the amplitude distribution coefficients of all the same frequencies, take the product of the maximum value and a preset positive number less than 1 as the segmentation threshold, and take the same frequencies with amplitude distribution coefficients greater than the segmentation threshold among all the same frequencies as the ripple characteristic frequencies.
[0016] In one embodiment, the process of obtaining the amplitude variation characteristic value is as follows:
[0017] Arrange the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-period in ascending order according to the magnitude of the target output voltage to form each frequency amplitude column vector, and take the mean value of all positive numbers in the first-order difference vector of each frequency amplitude column vector as the amplitude variation characteristic value of each same ripple characteristic frequency at each same serial number sub-period.
[0018] In one of the embodiments, the process of obtaining the same-frequency difference degree of the ripples is as follows:
[0019] For the frequency amplitude column vectors of each same ripple characteristic frequency in all sub-periods with the same serial number, count the total number of negative numbers and the total number of all elements in the first-order difference vectors of all frequency amplitude column vectors;
[0020] Calculate the ratio of the total number to the total number of elements, and the same-frequency difference degree of the ripples is the product of the ratio and the dispersion degree.
[0021] In one of the embodiments, the process of screening each ripple frequency from all the same ripple characteristic frequencies is as follows:
[0022] Statistically calculate the maximum value among the same-frequency difference degrees of all the same ripple characteristic frequencies. Denote the difference between the maximum value and the same-frequency difference degree of each same ripple characteristic frequency as the same-frequency difference value. Take the product of the maximum value among all the same-frequency difference values and a positive number less than 1 as the segmentation threshold. Consider the same ripple characteristic frequencies corresponding to the same-frequency difference values greater than the segmentation threshold among all the same ripple characteristic frequencies as the ripple frequencies.
[0023] In one of the embodiments, the process of obtaining the ripple floating ratio is as follows:
[0024] Denote the difference between the maximum value in the time-domain conversion results under each target output voltage and the corresponding target output voltage as the upward difference; denote the difference between each target output voltage and the minimum value in its time-domain conversion result as the downward difference;
[0025] Respectively denote the ratios of the upward difference and the downward difference to each target output voltage as the first ratio and the second ratio;
[0026] The ripple floating ratio can be further determined by comparing the first ratio and the second ratio of each target output voltage.
[0027] In one of the embodiments, the ripple floating ratio is the maximum value among the first ratio and the second ratio of each target output voltage.
[0028] In one of the embodiments, the method for evaluating the abnormal conditions of the performance of the DC regulated power supply is as follows: When the ripple floating ratios of all target output voltages are less than the preset performance abnormal threshold, it is determined that the performance of the DC regulated power supply is normal; otherwise, it is determined that the performance of the DC regulated power supply is abnormal.
[0029] In a second aspect, an embodiment of the present application further provides a DC regulated power supply performance parameter testing system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned DC regulated power supply performance parameter testing methods are implemented.
[0030] The present application has at least the following beneficial effects:
[0031] In the present application, by presetting multiple target output voltages and collecting the actual output voltage data of the DC regulated power supply under multiple preset output voltages, more comprehensive basic data is provided for subsequent analysis, which can more comprehensively reflect the output situation of the DC regulated power supply under different working conditions, making the performance test results of the DC regulated power supply more reliable; by dividing the preset time period into sub-time periods and converting the output voltage data into the frequency domain to obtain the amplitude distribution coefficient of the frequency, the ripple effect of the DC regulated power supply can be quantified, which is beneficial to analyzing whether the voltage fluctuation of the DC regulated power supply is caused by noise or abnormal performance of the DC regulated power supply;
[0032] Furthermore, by screening the ripple characteristic frequencies and calculating the ripple co-frequency difference degree, the ripple characteristic frequencies that may represent the ripple effect can be identified, and the frequency amplitude change rules and difference degrees of the ripple characteristic frequencies under different target output voltages can be analyzed, so as to more deeply understand the performance of the DC regulated power supply; by screening the ripple frequencies through the ripple co-frequency difference degree and converting them into the time domain to calculate the ripple floating ratio, the influence of occasional noises such as electromagnetic interference can be excluded, focusing on the periodic ripple changes caused by abnormal performance of the DC regulated power supply, and accurately quantifying the fluctuation degree of the target output voltage; by evaluating the abnormal performance of the DC regulated power supply through the ripple floating ratio, a comprehensive and accurate evaluation of the performance of the DC regulated power supply can be realized, and potential faults can be detected in time. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0034] Figure 1 It is a flowchart of the steps of a DC regulated power supply performance parameter testing method provided by an embodiment of the present application;
[0035] Figure 2 It is a schematic diagram of the acquisition process of the ripple frequency. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0036] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example", etc. are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "or", "for example" is intended to present relevant concepts in a specific manner.
[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. It should be understood that unless otherwise specified in this application, " / " means "or".
[0038] In addition, it should be noted that the terms "first" and "second" in this application are used to distinguish similar objects and are not used to describe a specific order or sequence.
[0039] The following specifically describes the specific solutions of a method and system for testing the performance parameters of a DC regulated power supply provided by this application with reference to the accompanying drawings.
[0040] Please refer to Figure 1 , which shows a flowchart of the steps of a method for testing the performance parameters of a DC regulated power supply provided by an embodiment of this application. The method includes the following steps:
[0041] Step 1, set the target output voltages of the DC regulated power supply, and collect the output voltage data of the DC regulated power supply within a preset time period under each target output voltage.
[0042] First, connect the intelligent electric meter in series at the output port of the DC regulated power supply. Adjust the output voltage magnitude through the knob on the power supply panel, set N different output voltages, denoted as the target output voltages. After each target output voltage is set, use the intelligent electric meter to collect output voltage data at a sampling frequency of 1 kHz for a collection duration of 10 seconds. Fill in the missing values in the collected output voltage data. Among them, 1 kHz and 10 seconds are only an embodiment of this application, and the implementer can set them according to the actual situation, and this application does not make special restrictions.
[0043] In this embodiment, the value of N is 6, and the target output voltages are 6V, 12V, 18V, 24V, 30V, and 36V respectively. The value of N and the target output voltages can be set by the implementer himself, and this application does not make special restrictions.
[0044] In this embodiment, the mean interpolation method is used to fill in the missing values. The mean interpolation method is a well-known technology and will not be elaborated in this application. As other implementation manners, on the basis of being able to fill in the missing values, implementers can adopt other existing technologies, such as polynomial interpolation method, etc., and this application does not make special restrictions.
[0045] Step 2: Uniformly divide each preset time period into each sub-time period and number them respectively according to the time sequence. Convert the output voltage data within each sub-time period to the frequency domain. Through the distribution of the frequency amplitudes of all sub-time periods at each same frequency under each target output voltage, obtain the amplitude distribution coefficient of each same frequency under each target output voltage.
[0046] When the DC regulated power supply is abnormal, its output voltage will change and show a ripple phenomenon. Ripple is a periodic voltage fluctuation that causes the output voltage of the DC regulated power supply to fluctuate up and down near the set value. This kind of fluctuation will damage the stability of the power supply output, making the electronic device unable to obtain a stable DC voltage. Seriously, the electronic device may malfunction, have performance degradation or even be damaged due to the voltage fluctuation.
[0047] Meanwhile, during the use of the DC regulated power supply, it will also be affected by the surrounding environment, such as electromagnetic waves, temperature, etc., making the output voltage of the DC regulated power supply have noise. Noise is a sporadic data without periodicity. Therefore, uniformly divide the preset time period under each target output voltage into each sub-time period and arrange them respectively according to the time sequence for analyzing the change state of the output voltage of the DC regulated power supply within each sub-time period.
[0048] In this embodiment, each preset time period is uniformly divided into 10 sub-time periods. 10 is just an embodiment of this application. Implementers can set its specific value according to the actual situation, and this application does not make special restrictions.
[0049] Since the periodic fluctuation is a frequency change, therefore, convert the output voltage data within each sub-time period under each target output voltage to the frequency domain respectively to obtain the frequencies and frequency amplitudes of each frequency within each sub-time period under each target output voltage, which are used to characterize the fluctuation degree and fluctuation amplitude of the output voltage data within each sub-time period. Among them, the Fourier transform is used to convert the output voltage data within each sub-time period to the frequency domain respectively. The Fourier transform is a well-known technology and will not be elaborated in this application.
[0050] The ripple of the DC regulated power supply will make all sub-time periods under each target output voltage have the same frequency and the same frequency amplitude of the frequency. Based on the above analysis, through the distribution of the frequency amplitudes of all sub-time periods at each same frequency under each target output voltage, obtain the amplitude distribution coefficient of each same frequency under each target output voltage. The expression is:
[0051] ; where, represents the amplitude distribution coefficient of all sub - time periods at the f - th target output voltage at the i - th same frequency; represents the minimum value of the frequency amplitudes at the i - th same frequency for all sub - time periods at the f - th target output voltage; represents the kurtosis of the frequency amplitudes at the i - th same frequency for all sub - time periods at the f - th target output voltage in time series; σ represents a preset positive number used to avoid a zero denominator. The value of σ is preset manually and the implementer can set it by himself. In this embodiment, the value of σ is 0.01. Among them, the calculation of kurtosis is a well - known technology and will not be elaborated in this application.
[0052] It should be noted that: when the performance of the DC regulated power supply is abnormal, the output voltage of the DC regulated power supply will generate ripples, and the ripples will cause the voltage to change periodically. If the periodic change of the ripples is stronger, then the frequency amplitude corresponding to the frequency will be larger, that is, the minimum value of the frequency amplitudes at the same frequency is larger, indicating that the ripple effect caused by the abnormal performance of the DC regulated power supply is stronger. At the same time, within different sub - time periods, if the frequency amplitudes at the i - th same frequency are closer, then the i - th same frequency can better represent the ripple effect, making the kurtosis of the frequency amplitudes at the i - th same frequency smaller.
[0053] Step 3: Screen each ripple characteristic frequency from all the same frequencies through the distribution of the amplitude distribution coefficients of all the same frequencies under each target output voltage; obtain the amplitude change characteristic values of each same ripple characteristic frequency in each same - numbered sub - time period through the change of the frequency amplitudes of each same ripple characteristic frequency in each same - numbered sub - time period under all target output voltages; obtain the ripple co - frequency difference degrees of each same ripple characteristic frequency by combining the growth of the frequency amplitudes of each same ripple characteristic frequency with the increase of the target output voltage and the dispersion of the amplitude change characteristic values of each same ripple characteristic frequency in all same - numbered sub - time periods.
[0054] Furthermore, the output voltage ripple generated by the abnormal performance of the DC regulated power supply is a long - term effect, that is, it should exist in each sub - time period, rather than just appearing in a short period of time. Therefore, when the amplitude distribution coefficient of any one same frequency is larger, it means that any one same frequency can better represent the ripple effect. Based on the above analysis, count the maximum value of the amplitude distribution coefficients of all the same frequencies under each target output voltage, take the product of the maximum value and a preset positive number less than 1 as the segmentation threshold, and regard the same frequencies with amplitude distribution coefficients greater than the segmentation threshold among all the same frequencies under each target output voltage as the ripple characteristic frequencies.
[0055] In this embodiment, during the process of screening the ripple characteristic frequency, the value of the preset positive number less than 1 involved is 0.5. The specific value of the preset positive number less than 1 is preset manually, and the implementer can set it according to the actual situation. This application does not make special restrictions.
[0056] When the performance of the DC regulated power supply is abnormal, as the output voltage increases, the filtering circuit cannot work properly, causing the amplitude of the ripple to increase with the increase of the output voltage. However, the magnitude of the amplitude does not affect the change of the period, that is, the change of the ripple frequency. Therefore, by the change of the frequency amplitudes of the same ripple characteristic frequency in each same serial number sub-period under all target output voltages, the amplitude change characteristic value of the same ripple characteristic frequency in each same serial number sub-period is obtained. Specifically: the frequency amplitudes of the same ripple characteristic frequency in each same serial number sub-period under all target output voltages are arranged in ascending order according to the magnitude of the target output voltage to form a frequency amplitude column vector of the same ripple characteristic frequency in each same serial number sub-period, and the mean value of all positive numbers in the first-order difference vector of each frequency amplitude column vector is used as the amplitude change characteristic value of the same ripple characteristic frequency in each same serial number sub-period. Among them, the first-order difference vector of each frequency amplitude column vector is obtained by the first-order difference method, and the first-order difference method is a well-known technology, which will not be elaborated in this application.
[0057] Furthermore, the ripple amplitude under different target output voltages will increase with the increase of the target output voltage. Therefore, when the same ripple characteristic frequency is formed by the influence of the ripple, all elements in the first-order difference vector of each frequency amplitude column vector are positive numbers. Based on the above analysis, by the growth situation of the frequency amplitudes of the same ripple characteristic frequency in each same serial number sub-period under all target output voltages with the increase of the target output voltage, combined with the dispersion of the amplitude change characteristic values of the same ripple characteristic frequency in all same serial number sub-periods, the ripple co-frequency difference degree of the same ripple characteristic frequency under all target output voltages is obtained. The expression is:
[0058] ; In the formula, represents the ripple co-frequency difference degree of the jth same ripple characteristic frequency under all target output voltages; for the frequency amplitude column vectors of the same ripple characteristic frequency in each same serial number sub-period under all target output voltages, the total number of negative numbers and the total number of all elements in the first-order difference vector of all frequency amplitude column vectors are counted; 、 represent the total number and the total number of the jth same ripple characteristic frequency under all target output voltages; represents the dispersion of the amplitude change characteristic values of the jth same ripple characteristic frequency in all same serial number sub-periods under all target output voltages.
[0059] In this embodiment, the dispersion degree is the mean absolute deviation, and the calculation of the mean absolute deviation is a well-known technology, which will not be elaborated in this application. As other implementation manners, on the basis of being able to measure the uneven degree of the distribution of the amplitude change characteristic values, implementers can adopt other existing technologies, such as variance, standard deviation, etc., and this application does not make special restrictions.
[0060] It should be noted that: when the performance of the DC regulated power supply is abnormal, the ripple amplitude of the j-th ripple characteristic frequency at different target output voltages will change with the increase of the target output voltage. When the ripple amplitude of the j-th ripple characteristic frequency shows a regular change with the increase of the target output voltage, the number of negative elements in the first-order difference vector of the frequency amplitude column vector will be less. At the same time, the more regular the change, the smaller the difference between the amplitude change characteristic values, that is, the smaller the dispersion degree of the change characteristic values, resulting in a smaller value of the ripple co-frequency difference degree of the j-th ripple characteristic frequency; the smaller the ripple co-frequency difference degree, the more likely it is that the j-th ripple characteristic frequency is caused by problems in the performance of the DC regulated power supply.
[0061] Step 4, through the distribution of the ripple co-frequency difference degrees of all the same ripple characteristic frequencies at all target output voltages, screen each ripple frequency from all the same ripple characteristic frequencies, respectively convert all the ripple frequencies and frequency amplitudes at each target output voltage into the time domain, and obtain the ripple floating ratio of each target output voltage by comparing each target output voltage with its time-domain conversion result.
[0062] In order to obtain the frequency data caused by problems in the performance of the DC regulated power supply, rather than the frequency changes caused by electromagnetic interference. Through the distribution of the ripple co-frequency difference degrees of all the same ripple characteristic frequencies at all target output voltages, screen each ripple frequency from all the same ripple characteristic frequencies. Specifically: count the maximum value in the ripple co-frequency difference degrees of all the same ripple characteristic frequencies, record the difference between the maximum value and the ripple co-frequency difference degree of each same ripple characteristic frequency as the co-frequency difference value, take the product of the maximum value of all the co-frequency difference values and a positive number less than 1 preset as the segmentation threshold, and use the same ripple characteristic frequencies corresponding to the co-frequency difference values greater than the segmentation threshold among all the same ripple characteristic frequencies as the ripple frequencies. The schematic diagram of the acquisition process of the ripple frequencies is as Figure 2 shown.
[0063] In this embodiment, in the process of screening the ripple frequencies, the value of the positive number less than 1 preset involved is 0.5. The specific value of the positive number less than 1 preset is preset manually, and the implementer can set it according to the actual situation. This application does not make special restrictions.
[0064] Further, all the ripple frequencies and their frequency amplitudes at each target output voltage, as well as the frequency of 0 and its frequency amplitude, are respectively used as the inputs of the inverse Fourier transform algorithm, and the ripple data sequences at each target output voltage are output. Among them, the inverse Fourier transform algorithm is a well-known technology and will not be elaborated in this application. By comparing each target output voltage with the elements in its ripple data sequence, the ripple floating ratio of each target output voltage is obtained, and the expression is:
[0065] ; where represents the ripple floating ratio of the k-th target output voltage; max( ) represents the operation of taking the maximum value; min( ) represents the operation of taking the minimum value; represents the ripple data sequence at the k-th target output voltage; represents the k-th target output voltage. Denote as the first difference, denote as the second difference, denote as the first ratio, and denote as the second ratio.
[0066] It should be noted that: the stronger the ripple effect of the DC regulated power supply, the greater the fluctuation amplitude of the ripple data, the greater the difference between its maximum fluctuation value and the target output voltage, and the greater the value of the ripple floating ratio of the target output voltage; the greater the ripple floating ratio, the more likely the performance of the DC regulated power supply is abnormal.
[0067] Step 5, evaluate the abnormal situation of the performance of the DC regulated power supply through the ripple floating ratio.
[0068] Further, evaluate the abnormal situation of the performance of the DC regulated power supply through the ripple floating ratio, specifically: when the ripple floating ratios of all target output voltages are less than the preset performance abnormal threshold, it is determined that the performance of the DC regulated power supply is normal; otherwise, it is determined that the performance of the DC regulated power supply is abnormal.
[0069] In this embodiment, the value of the preset performance abnormal threshold is 1%, and the value of the preset performance abnormal threshold is preset manually, and the implementer can set it by himself / herself, and this application does not make special restrictions.
[0070] Based on the same inventive concept as the above method, an embodiment of the present application also provides a DC regulated power supply performance parameter test system, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above methods for testing the performance parameters of a DC regulated power supply.
[0071] In summary, the present application provides more comprehensive basic data for subsequent analysis by presetting multiple target output voltages and collecting the actual output voltage data of the DC regulated power supply under multiple preset output voltages, which can more comprehensively reflect the output conditions of the DC regulated power supply under different working states and make the performance test results of the DC regulated power supply more reliable. By dividing the preset time period into sub-time periods and converting the output voltage data into the frequency domain to obtain the amplitude distribution coefficient of the frequency, the ripple effect of the DC regulated power supply can be quantified, which is beneficial to analyzing whether the voltage fluctuation of the DC regulated power supply is caused by noise or abnormal performance of the DC regulated power supply.
[0072] Furthermore, by screening the ripple characteristic frequencies and calculating the ripple co-frequency difference degree, the ripple characteristic frequencies that may represent the ripple effect can be identified, and the variation law and difference degree of the frequency amplitudes of the ripple characteristic frequencies under different target output voltages can be analyzed, so as to more deeply understand the performance of the DC regulated power supply. By screening the ripple frequencies through the ripple co-frequency difference degree and converting them into the time domain to calculate the ripple floating ratio, the influence of occasional noises such as electromagnetic interference can be excluded, focusing on the periodic ripple changes caused by abnormal performance of the DC regulated power supply, and accurately quantifying the fluctuation degree of the target output voltage. By evaluating the abnormal performance of the DC regulated power supply through the ripple floating ratio, a comprehensive and accurate evaluation of the performance of the DC regulated power supply can be achieved, and potential faults can be detected in a timely manner.
[0073] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the block may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.
[0074] For those skilled in the art, it is obvious that the present application is not limited to the details of the above-described exemplary embodiments, and the present application can be implemented in other specific forms without departing from the basic characteristics of the present application. Therefore, from any point of view, the above-described embodiments of the present application should be regarded as exemplary and non-limiting.
Claims
1. A method for testing the performance parameters of a DC regulated power supply, characterized in that, The method includes the following steps: Set the target output voltages of the DC regulated power supply, and collect the output voltage data of the DC regulated power supply within a preset time period at each target output voltage; Evenly divide each preset time period into each sub-time period and number them respectively according to the time sequence. Convert the output voltage data within each sub-time period to the frequency domain. Through the distribution of the frequency amplitudes of all sub-time periods at each target output voltage at each same frequency, obtain the amplitude distribution coefficient of each same frequency at each target output voltage; Through the distribution of the amplitude distribution coefficients of all same frequencies at each target output voltage, screen each ripple characteristic frequency from all the same frequencies; Through the change of the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-time period under all target output voltages, obtain the amplitude change characteristic value of each same ripple characteristic frequency at each same serial number sub-time period; Through the growth of the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-time period with the increase of the target output voltage, combined with the dispersion of the amplitude change characteristic values of each same ripple characteristic frequency at all same serial number sub-time periods, obtain the ripple co-frequency difference degree of each same ripple characteristic frequency; Through the distribution of the ripple co-frequency difference degrees of all same ripple characteristic frequencies under all target output voltages, screen each ripple frequency from all the same ripple characteristic frequencies. Respectively convert all the ripple frequencies and frequency amplitudes at each target output voltage to the time domain. By comparing each target output voltage with its time domain conversion result, obtain the ripple floating ratio of each target output voltage; Evaluate the abnormal situation of the performance of the DC regulated power supply through the ripple floating ratio.
2. A method for testing the performance parameters of a DC regulated power supply according to claim 1, characterized in that, The process of obtaining the amplitude distribution coefficient is: Statistically calculate the minimum value of the frequency amplitudes of all sub-time periods at each target output voltage at each same frequency, and calculate the kurtosis of the frequency amplitudes of all sub-time periods at each target output voltage at each same frequency in the time sequence; The amplitude distribution coefficient is directly proportional to the minimum value and inversely proportional to the kurtosis.
3. A method for testing performance parameters of a DC regulated power supply according to claim 1, characterized in that, The process of screening each ripple characteristic frequency from all the same frequencies is: For each target output voltage, statistically calculate the maximum value of the amplitude distribution coefficients of all the same frequencies. Take the product of the maximum value and a positive number less than 1 as the segmentation threshold, and regard the same frequencies with amplitude distribution coefficients greater than the segmentation threshold among all the same frequencies as the ripple characteristic frequencies.
4. The performance parameter testing method of a DC regulated power supply according to claim 1, wherein The process of obtaining the amplitude change characteristic value is: Arrange the frequency amplitudes of each same ripple characteristic frequency at each same serial number sub-time period in ascending order according to the magnitude of the target output voltage to form each frequency amplitude column vector. Take the mean value of all positive numbers in the first-order difference vector of each frequency amplitude column vector as the amplitude change characteristic value of each same ripple characteristic frequency at each same serial number sub-time period.
5. The performance parameter testing method of a DC regulated power supply according to claim 4, characterized in that The process of obtaining the ripple co-frequency difference degree is: For the frequency amplitude column vectors of each same ripple characteristic frequency at all same serial number sub-time periods, statistically calculate the total number of negative numbers and the total number of all elements in the first-order difference vector of all frequency amplitude column vectors; Calculate the ratio of the total number to the total number of elements. The ripple co-frequency difference degree is the product of the ratio and the dispersion.
6. The performance parameter testing method of a DC regulated power supply according to claim 1, characterized in that, The process of screening each ripple frequency from all the same ripple feature frequencies is as follows: Statistically calculate the maximum value among the ripple same-frequency difference degrees of all the same ripple feature frequencies. Denote the difference between the maximum value and the ripple same-frequency difference degree of each same ripple feature frequency as the same-frequency difference value. Take the product of the maximum value among all the same-frequency difference values and a positive number less than 1 preset as the segmentation threshold. Consider the same ripple feature frequencies for which the corresponding same-frequency difference values are greater than the segmentation threshold among all the same ripple feature frequencies as the ripple frequencies.
7. A method for testing performance parameters of a DC regulated power supply according to claim 1, characterized in that, The process of obtaining the ripple floating ratio is as follows: Denote the difference between the maximum value in the time-domain conversion results under each target output voltage and the corresponding target output voltage as the upward difference; Denote the difference between each target output voltage and the minimum value in its time-domain conversion result as the downward difference; Respectively, denote the ratios of the upward difference and the downward difference to each target output voltage as the first ratio and the second ratio; The ripple floating ratio can be further determined by comparing the first ratio and the second ratio of each target output voltage.
8. A method for testing performance parameters of a DC regulated power supply according to claim 7, characterized in that, The ripple floating ratio is the maximum value among the first ratio and the second ratio of each target output voltage.
9. A method for testing the performance parameters of a DC regulated power supply according to claim 1, characterized in that, The method for evaluating the abnormal conditions of the performance of the DC regulated power supply is as follows: When the ripple floating ratios of all the target output voltages are less than the preset performance abnormal threshold, it is determined that the performance of the DC regulated power supply is normal; otherwise, it is determined that the performance of the DC regulated power supply is abnormal.
10. A performance parameter testing system for a DC regulated power supply, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for testing the performance parameters of a DC regulated power supply according to any one of claims 1-9.
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