A power adapter switch power supply control system

Abstract

The invention discloses a power adapter switch power control system, which relates to the technical field of switch power control. The operating fault coefficient of each power adapter switch power module in a power adapter switch power module group is calculated, and a preset threshold is combined to determine whether the operating state of the power adapter switch power module is a fault state. When it is a fault state, the working power of the corresponding module is obtained, and a priority switching coefficient is obtained in combination with the operating fault coefficient. The modules in the power adapter switch power module group are switched to standby modules in the order of the priority switching coefficients from large to small. In this way, if a problem occurs in the operating state of a switch power module in the power adapter switch power module group, it can be detected in time and switched to a standby device to ensure the stability of the direct current output. The switching sequence can be reasonably arranged according to the actual situation to reduce the failure risk of the power adapter switch power module group and ensure the stability of the overall power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of switch power supply control, and in particular to a switch power supply control system for a power adapter. Background Art

[0002] The power adapter switching power supply is an electronic device that uses switching power supply technology for power conversion. Unlike traditional linear power supplies, switching power supplies use high-frequency switching transistors to convert and control energy to achieve efficient power conversion. In order to ensure stable and continuous conversion of alternating current (AC) into direct current and output, in certain high-load or high-reliability scenarios, the configuration of a power adapter switching power supply module will be adopted. This design enables multiple power adapter switching power supply modules to work together, effectively share the voltage load, and reduce the risk of overheating or overloading of a single module, thereby ensuring that the output DC power is more stable and reliable.

[0003] However, if a problem occurs in the operating status of a switching power module in the power adapter switching power module group and is not detected in time and switched to the backup device, it may cause instability or even interruption of DC power output; in addition, when switching the power adapter switching power modules, if the switching sequence is not reasonably arranged according to the actual situation, it may increase the risk of failure and further affect the stability of the overall power supply. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problem and provide a power adapter switch power control system.

[0005] The present invention provides a power adapter switch power control system, the system comprising:

[0006] Operation fault module: taking each power adapter switching power module in the power adapter switching power module group as a first target power module, and obtaining the output voltage, operating temperature and switching frequency of the first target power module during operation to obtain an operation fault coefficient;

[0007] An operation state classification module: compares the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, and classifies the operation state of the first target power module into a fault state and a normal state according to the comparison result;

[0008] Priority switching calculation module: when the operation state of the first target power module is a fault state, the first target power module is re-recorded as the second target power module, and the working power of each second target power module in the power adapter switch power module group is obtained, and the priority switching coefficient of the second target power module is obtained in combination with the corresponding operation fault coefficient;

[0009] Control switching module: control all second target power modules in the power adapter switch power module group to switch the standby power adapter switch power module in the order of priority switching coefficient from large to small.

[0010] Optionally, obtaining the voltage outputted by the first target power module during operation, the temperature during operation, and the switching frequency to obtain the operation fault coefficient includes:

[0011] Continuously acquiring the voltage output by the first target power module during operation at multiple moments to obtain an output voltage sequence, and calculating a standard deviation of the output voltage sequence, and using the standard deviation of the output voltage sequence as an output voltage fluctuation value;

[0012] Compare each voltage value in the output voltage sequence with a preset standard output voltage range, and record a voltage value that is not within the preset standard output voltage range as an abnormal voltage value;

[0013] The total number of abnormal voltage values ​​in the output voltage sequence is divided by the total number of all voltage values ​​in the output voltage sequence to obtain an output voltage unqualified value;

[0014] The output voltage fluctuation value and the output voltage unqualified value are normalized, and the output voltage abnormality coefficient of the first target power module is obtained according to the normalized output voltage fluctuation value and the output voltage unqualified value. The calculation formula is: , where is the output voltage abnormality coefficient, and are the normalized output voltage fluctuation value and the output voltage unqualified value, and They are and The preset scaling factor of and All are greater than 0;

[0015] The operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature and the switching frequency of the first target power module during operation.

[0016] Optionally, obtaining the operation fault coefficient according to the output voltage abnormality coefficient, the temperature during operation, and the switching frequency of the first target power module includes:

[0017] The time taken for the first target power module to rise to a preset temperature equilibrium point during operation is obtained as a target time period, and a time-temperature curve is drawn according to the temperature at each moment in the target time period;

[0018] The time-temperature curve is divided into several sub-curves, and the slope of each sub-curve is calculated as the actual slope, and the absolute difference between each actual slope and the preset slope is calculated, and the absolute difference of the slope of each sub-curve is added to obtain the temperature rise anomaly coefficient;

[0019] The temperature abnormality coefficient of the first target power module is calculated according to the temperature rise abnormality coefficient, and the operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency of the first target power module.

[0020] Optionally, calculating the temperature anomaly coefficient of the first target power module according to the temperature rise anomaly coefficient includes:

[0021] When the temperature of the first target power module rises to a preset temperature equilibrium point, continuously acquiring the temperature fluctuation data of the first target power module within a preset time period to obtain a current temperature sequence;

[0022] Extracting temperature fluctuation data of the first target power module in a preset time period under normal working conditions after the temperature of the first target power module rises to a preset temperature equilibrium point from the pre-acquired historical data as a template temperature sequence;

[0023] Construct a distance matrix, in which each element is the distance between the current temperature data point in the current temperature sequence and the template temperature data point in the template temperature sequence;

[0024] A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the current temperature sequence and the template temperature sequence;

[0025] According to the calculated shortest path, the current temperature sequence is aligned with the template temperature sequence;

[0026] According to the aligned current temperature sequence and the template temperature sequence, the similarity between them is calculated;

[0027] The calculated similarity is compared with the preset similarity threshold. If the similarity is greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is normal; if the similarity is not greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is abnormal. At this time, the absolute difference between the similarity and the preset similarity threshold is calculated as the temperature fluctuation abnormality coefficient;

[0028] The temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient are normalized, and the temperature anomaly coefficient is obtained according to the normalized temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient.

[0029] Optionally, obtaining the temperature anomaly coefficient according to the normalized temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient further includes:

[0030]

[0031] In the formula, is the temperature anomaly coefficient, and are the normalized temperature rise anomaly coefficient and temperature fluctuation anomaly coefficient, and They are and The preset scaling factor of and Both are greater than 0.

[0032] Optionally, obtaining the operation fault coefficient according to the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency of the first target power module includes:

[0033] Continuously acquiring the switching frequency of the first target power module during operation to obtain a switching frequency sequence, and calculating the absolute difference between each switching frequency in the switching frequency sequence and the preset switching frequency, and calculating the sum of all the absolute differences, and normalizing the sum of all the absolute differences to obtain a switching frequency deviation coefficient;

[0034] Taking the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency deviation coefficient as input items of the fuzzy rule, and taking the operation fault coefficient of the first target power module as the output item;

[0035] Fuzzify the input items and convert the exact input values ​​into fuzzy sets;

[0036] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;

[0037] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;

[0038] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;

[0039] Synthesize the results of all rules and calculate the fuzzy set of output items;

[0040] The fuzzy values ​​in the fuzzy set of the output items are converted into exact values, and the operation fault coefficient is output according to the defuzzification result.

[0041] Optionally, dividing the operation state of the first target power module into a fault state and a normal state according to the comparison result includes:

[0042] Comparing the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, if the operation fault coefficient is less than the preset operation fault coefficient threshold, classifying the operation state of the first target power module as a normal state, and at this time, there is no need to replace the first target power module with a backup power adapter switch power module;

[0043] If the operation fault coefficient is not less than the preset operation fault coefficient threshold, the operation state of the first target power module is classified as a fault state, and the first target power module needs to be replaced with a backup power adapter switching power module.

[0044] Optionally, obtaining the operating power of each second target power module in the power adapter switch power module group, and obtaining the priority switching coefficient of the second target power module in combination with the corresponding operation fault coefficient includes:

[0045] Obtaining the power of all first target power modules in the power adapter switching power module group when in operation, and calculating the power mean as the average power of the power adapter switching power module group;

[0046] Obtaining the actual power of each second target power module in the power adapter switching power module group when in operation, calculating the difference between the actual power and the average power, and dividing the difference by the average power to obtain the load factor of the corresponding second target power module;

[0047] The load factor and the operation fault factor of the second target power module are calculated to obtain the priority switching factor of the second target power module. The calculation formula is:

[0048]

[0049] In the formula, is the priority switching coefficient, and are load factor and operation failure factor respectively, and They are and The preset scaling factor of and Both are greater than 0.

[0050] Beneficial effects of the present invention:

[0051] The present invention proposes a power adapter switching power control system. If a problem occurs in the operating state of a switching power module in a power adapter switching power module group, it can be detected in time and switched to a backup device to ensure the stability of the DC power output; in addition, when switching the power adapter switching power modules, the switching sequence can be reasonably arranged according to actual conditions to reduce the failure risk of the power adapter switching power module group and ensure the stability of the overall power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 The figure is a framework diagram of a power adapter switching power control system. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0056] The embodiment of the present invention provides a power adapter switch power control system. Figure 1 , Figure 1 A framework diagram of a power adapter switch power control system provided by an embodiment of the present invention. The system includes:

[0057] Operation fault module: taking each power adapter switching power module in the power adapter switching power module group as a first target power module, and obtaining the output voltage, operating temperature and switching frequency of the first target power module during operation to obtain an operation fault coefficient;

[0058] An operation state classification module: compares the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, and classifies the operation state of the first target power module into a fault state and a normal state according to the comparison result;

[0059] Priority switching calculation module: when the operation state of the first target power module is a fault state, the first target power module is re-recorded as the second target power module, and the working power of each second target power module in the power adapter switch power module group is obtained, and the priority switching coefficient of the second target power module is obtained in combination with the corresponding operation fault coefficient;

[0060] Control switching module: control all second target power modules in the power adapter switch power module group to switch the standby power adapter switch power module in the order of priority switching coefficient from large to small.

[0061] Based on a power adapter switching power control system provided by an embodiment of the present invention, through the above-mentioned method, if a problem occurs in the operating status of a switching power module in the power adapter switching power module group, it can be detected in time and switched to a backup device to ensure the stability of the DC power output; in addition, when switching the power adapter switching power modules, the switching sequence can be reasonably arranged according to the actual situation to reduce the failure risk of the power adapter switching power module group and ensure the stability of the overall power supply.

[0062] In one embodiment, obtaining the output voltage, operating temperature, and switching frequency of the first target power module during operation to obtain the operation fault coefficient includes:

[0063] Continuously acquiring the voltage output by the first target power module during operation at multiple moments to obtain an output voltage sequence, and calculating a standard deviation of the output voltage sequence, and using the standard deviation of the output voltage sequence as an output voltage fluctuation value;

[0064] Compare each voltage value in the output voltage sequence with a preset standard output voltage range, and record a voltage value that is not within the preset standard output voltage range as an abnormal voltage value;

[0065] The total number of abnormal voltage values ​​in the output voltage sequence is divided by the total number of all voltage values ​​in the output voltage sequence to obtain an output voltage unqualified value;

[0066] The output voltage fluctuation value and the output voltage unqualified value are normalized, and the output voltage abnormality coefficient of the first target power module is obtained according to the normalized output voltage fluctuation value and the output voltage unqualified value. The calculation formula is: , where is the output voltage abnormality coefficient, and are the normalized output voltage fluctuation value and the output voltage unqualified value, and They are and The preset scaling factor of and All are greater than 0;

[0067] The operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature and the switching frequency of the first target power module during operation.

[0068] It should be noted that and It is set by professionals according to the actual situation. Generally, and The sum of is 1, for example and They can be 0.5, 0.5, or other numbers respectively, and are not specifically limited.

[0069] It should be noted that commonly used normalization processing methods include Min-Max normalization, Z-Score standardization, etc. The specific application is set by professionals according to the actual situation and is not limited or elaborated.

[0070] It should be noted that the preset standard output voltage range is set by professionals according to actual conditions, and is not specifically limited or elaborated; in addition, a voltage sensor installed at the output end of the first target power module collects the output voltage values ​​of the first target power module at multiple times and records them as an output voltage sequence, and transmits them to the control system for subsequent analysis and calculation, or other acquisition methods may be used, which are not specifically limited or elaborated;

[0071] It should be noted that, when the output voltage abnormality coefficient of the first target power module is larger, it means that the operating status of the switching power module in the corresponding power adapter switching power module group has a greater problem. If it is not detected in time and switched to the backup device, it may cause instability or even interruption of DC output, because when the output voltage abnormality coefficient of the first target power module is larger, it means that the module has a large voltage fluctuation or abnormal voltage value during operation, which usually means that the first target power module fails to operate stably within the preset standard range; the increase in the output voltage fluctuation value may indicate drastic load changes, internal module failures or external interference, while the increase in abnormal voltage values ​​may be due to aging, damage or unstable power supply environment of components; these problems will directly affect the performance and stability of the first target power module, resulting in a decrease in the quality of DC output; when this situation is not detected in time and measures are not taken, such as switching to backup equipment, it may cause output voltage instability, and even cause instantaneous power failure of the system or damage to the equipment.

[0072] In one embodiment, obtaining the operation fault coefficient according to the output voltage abnormality coefficient, the temperature and the switching frequency during operation of the first target power module includes:

[0073] The time taken for the first target power module to rise to a preset temperature equilibrium point during operation is obtained as a target time period, and a time-temperature curve is drawn according to the temperature at each moment in the target time period;

[0074] The time-temperature curve is divided into several sub-curves, and the slope of each sub-curve is calculated as the actual slope, and the absolute difference between each actual slope and the preset slope is calculated, and the absolute difference of the slope of each sub-curve is added to obtain the temperature rise anomaly coefficient;

[0075] The temperature abnormality coefficient of the first target power module is calculated according to the temperature rise abnormality coefficient, and the operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency of the first target power module.

[0076] It should be noted that the preset temperature balance point is set by professionals according to actual conditions. Generally, the temperature of the first target power module will gradually rise during operation, rise to a balance point, and fluctuate within a small range at the balance point, which are all normal working conditions. The specific value of the preset temperature balance point is set by professionals according to actual conditions, and no limitation or elaboration is made; in addition, the preset slope is also set by professionals according to actual conditions, and no limitation or elaboration is made;

[0077] It should be noted that the temperature of the first target power module at each moment during operation can be obtained by a temperature sensor installed inside, or by other acquisition methods, which will not be limited or elaborated in detail;

[0078] In one embodiment, calculating the temperature anomaly coefficient of the first target power module according to the temperature rise anomaly coefficient includes:

[0079] When the temperature of the first target power module rises to a preset temperature equilibrium point, continuously acquiring the temperature fluctuation data of the first target power module within a preset time period to obtain a current temperature sequence;

[0080] Extracting temperature fluctuation data of the first target power module in a preset time period under normal working conditions after the temperature of the first target power module rises to a preset temperature equilibrium point from the pre-acquired historical data as a template temperature sequence;

[0081] Construct a distance matrix, in which each element is the distance between the current temperature data point in the current temperature sequence and the template temperature data point in the template temperature sequence;

[0082] A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the current temperature sequence and the template temperature sequence;

[0083] According to the calculated shortest path, the current temperature sequence is aligned with the template temperature sequence;

[0084] According to the aligned current temperature sequence and the template temperature sequence, the similarity between them is calculated;

[0085] The calculated similarity is compared with the preset similarity threshold. If the similarity is greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is normal; if the similarity is not greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is abnormal. At this time, the absolute difference between the similarity and the preset similarity threshold is calculated as the temperature fluctuation abnormality coefficient;

[0086] The temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient are normalized, and the temperature anomaly coefficient is obtained according to the normalized temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient.

[0087] It should be noted that the preset time period and the preset similarity threshold are set by professionals according to actual conditions, and are not limited or elaborated on; in addition, the temperature fluctuation data after the temperature of the first target power module rises to the preset temperature equilibrium point can be extracted from the temperature data record of the first target power module under normal historical operation, or other acquisition methods can be used, which are not limited or elaborated on;

[0088] In one implementation, the dynamic time warping (DTW) algorithm is used to effectively handle the nonlinear alignment of time series data, allowing the similarity between the current temperature series and the historical template to be compared at different time scales; this flexibility allows the abnormal characteristics of temperature fluctuations to be accurately identified even in the presence of slight time delays or fluctuations.

[0089] In one embodiment, the temperature anomaly coefficient is obtained according to the normalized temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient, including:

[0090]

[0091] In the formula, is the temperature anomaly coefficient, and are the normalized temperature rise anomaly coefficient and temperature fluctuation anomaly coefficient, and They are and The preset scaling factor of and All are greater than 0;

[0092] It should be noted that and It is set by professionals according to the actual situation. Generally, and The sum of is 1, for example and They can be 0.4, 0.6, or other numbers respectively, and are not specifically limited.

[0093] It should be noted that when the temperature rise abnormality coefficient and the temperature fluctuation abnormality coefficient of the first target power module are larger, it means that the operation status of the switch power module in the corresponding power adapter switch power module group has a greater problem. If it is not detected in time and switched to the backup device, it may cause instability or even interruption of DC output, because when the temperature rise abnormality coefficient and the temperature fluctuation abnormality coefficient of the first target power module are larger, it indicates that there are significant abnormalities in the operation of the power adapter switch power module, which may be caused by overload, poor heat dissipation or internal fault. The increase in the temperature rise abnormality coefficient means that the module temperature rises abnormally, which may cause overheating, failure or safety risks of components, while the increase in the temperature fluctuation abnormality coefficient indicates that the temperature stability is affected, which may cause instability of power output; when these abnormalities are not detected in time and switched to the backup device, the quality of DC output may be reduced, and fluctuations, noise or even interruption may occur.

[0094] In one embodiment, obtaining the operation fault coefficient according to the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency of the first target power module includes:

[0095] Continuously acquiring the switching frequency of the first target power module during operation to obtain a switching frequency sequence, and calculating the absolute difference between each switching frequency in the switching frequency sequence and the preset switching frequency, and calculating the sum of all the absolute differences, and normalizing the sum of all the absolute differences to obtain a switching frequency deviation coefficient;

[0096] Taking the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency deviation coefficient as input items of the fuzzy rule, and taking the operation fault coefficient of the first target power module as the output item;

[0097] Fuzzify the input items and convert the exact input values ​​into fuzzy sets;

[0098] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;

[0099] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;

[0100] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;

[0101] Synthesize the results of all rules and calculate the fuzzy set of output items;

[0102] The fuzzy values ​​in the fuzzy set of the output items are converted into exact values, and the operation fault coefficient is output according to the defuzzification result.

[0103] It should be noted that the above steps are explained as follows:

[0104] Fuzzy input:

[0105] The output current anomaly coefficient, temperature anomaly coefficient and switching frequency deviation coefficient are taken as input items and their exact values ​​are converted into fuzzy sets. This process usually includes the following steps:

[0106] Define membership functions: Define a membership function for each input to indicate how strongly it belongs to a fuzzy set (for example, "low", "medium", "high", and so on).

[0107] Calculate membership: For each input item, use the membership function to calculate its membership value in different fuzzy sets. For example, if the output current anomaly coefficient is 0.3, and the membership function defines a "low" fuzzy set, then the membership of the input value to the "low" fuzzy set is 0.8, and the membership to the "medium" fuzzy set is 0.2.

[0108] Define fuzzy rules:

[0109] A set of fuzzy rules is constructed to describe the relationship between input items and output items. Fuzzy rules usually take the form of "if-then". For example:

[0110] Example of rule:

[0111] If the output current abnormality coefficient is "high" and the temperature abnormality coefficient is "high", then the operation failure coefficient is "high".

[0112] If the switching frequency deviation coefficient is "low", the operation failure coefficient is "low".

[0113] Fuzzy reasoning:

[0114] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items:

[0115] Activation calculation: For each rule, calculate the membership of its premise part and take the minimum value as the activation of the rule. For example, for a rule "if the output current abnormal coefficient is high and the temperature abnormal coefficient is high", an activation value can be obtained.

[0116] Rule result synthesis: According to the activation degree, the results corresponding to each rule are synthesized to obtain the fuzzy set of output items. For example, if multiple rules conclude that the operation failure coefficient is "high", the fuzzy values ​​are weighted and synthesized according to their activation degrees.

[0117] Defuzzification:

[0118] The last step is to convert the fuzzy values ​​in the fuzzy set of the output item into exact values, usually using the following method:

[0119] Centroid method: Calculate the centroid of the fuzzy set to obtain the final operational failure coefficient; this is a common defuzzification method that can generate a clear numerical representation of the result of fuzzy reasoning.

[0120] Choose a suitable defuzzification method: In addition to the centroid method, other methods can also be used, such as the maximum membership method, the average method, etc., and the most suitable defuzzification strategy can be selected according to specific needs.

[0121] In one implementation, the above method can convert fuzzy input items such as output current abnormality coefficient, temperature abnormality coefficient and switching frequency deviation coefficient into a clear operation fault coefficient; the advantage of this method is that it can handle uncertainty and improve the flexibility and reliability of decision-making. The fuzzy logic system enables the operation status of the first target power module to be effectively monitored in a complex and dynamic environment.

[0122] In one embodiment, dividing the operation state of the first target power module into a fault state and a normal state according to the comparison result includes:

[0123] Comparing the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, if the operation fault coefficient is less than the preset operation fault coefficient threshold, classifying the operation state of the first target power module as a normal state, and at this time, there is no need to replace the first target power module with a backup power adapter switch power module;

[0124] If the operation fault coefficient is not less than the preset operation fault coefficient threshold, the operation state of the first target power module is classified as a fault state, and the first target power module needs to be replaced with a backup power adapter switching power module.

[0125] It should be noted that the preset operating failure coefficient threshold is set by professionals based on actual conditions and is not limited or elaborated on in detail.

[0126] It should be noted that when the operating state of the first target power module is a fault state, it means that there is a problem with the operating state of the power adapter switching power module in the power adapter switching power module group. At this time, the first target power module needs to be replaced with a backup power adapter switching power module to ensure the stability of the output voltage of the power adapter switching power module group. In addition, the operating state of the first target power module in the fault state is recorded as the second target power module.

[0127] In one embodiment, obtaining the operating power of each second target power module in the power adapter switching power module group and obtaining the priority switching coefficient of the second target power module in combination with the corresponding operation fault coefficient includes:

[0128] Obtaining the power of all first target power modules in the power adapter switching power module group when in operation, and calculating the power mean as the average power of the power adapter switching power module group;

[0129] Obtaining the actual power of each second target power module in the power adapter switching power module group when in operation, calculating the difference between the actual power and the average power, and dividing the difference by the average power to obtain the load factor of the corresponding second target power module;

[0130] The load factor and the operation fault factor of the second target power module are calculated to obtain the priority switching factor of the second target power module. The calculation formula is:

[0131]

[0132] In the formula, is the priority switching coefficient, and are load factor and operation failure factor respectively, and They are and The preset scaling factor of and Both are greater than 0.

[0133] It should be noted that and It is set by professionals according to the actual situation. Generally, and The sum of is 1, for example and They can be 0.5, 0.5, or other numbers respectively, and are not specifically limited.

[0134] It should be noted that the power of all first target power modules in the power adapter switching power module group during operation can be monitored and acquired through an internal power sensor, or other acquisition methods, which are not specifically limited or elaborated;

[0135] It should be noted that when the load factor of the second target power module in the power adapter switch power module group is smaller when working, the priority is given to switching to the backup power adapter switch power module. The reason for this is that the second target power module with a lighter load is given priority to switch, which can avoid more serious faults caused by overload of the power adapter switch power module group; in addition, the second target power module with a lighter load can usually respond to the switching request faster, reducing the burden brought by the switching of the power adapter switch power module group; and when the operation failure factor of the second target power module in the power adapter switch power module group is larger when working, the priority is given to switching to the backup power adapter switch power module. The reason for this is that a higher operation failure factor indicates that the module has a greater potential failure risk, which may cause system instability and power supply interruption. Therefore, timely switching to the backup power adapter switch power module can reduce the possibility of fault expansion and ensure the normal operation of the power adapter. Therefore, the switching strategy that comprehensively considers the load factor and the failure factor can achieve more efficient and safer control and management of the power adapter switch power module group.

[0136] In one implementation method, all the second target power modules in the power adapter switching power module group are controlled to switch the backup power adapter switching power module in order of priority switching coefficient from large to small. The switching sequence can be reasonably arranged according to actual conditions, reducing the failure risk of the power adapter switching power module group and ensuring the stability of the overall power supply.

[0137] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A power adapter switch power control system, characterized in that: The system comprises: Operation fault module: taking each power adapter switching power module in the power adapter switching power module group as a first target power module, and obtaining the output voltage, operating temperature and switching frequency of the first target power module during operation to obtain an operation fault coefficient; An operation state classification module: compares the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, and classifies the operation state of the first target power module into a fault state and a normal state according to the comparison result; Priority switching calculation module: when the operation state of the first target power module is a fault state, the first target power module is re-recorded as the second target power module, and the working power of each second target power module in the power adapter switch power module group is obtained, and the priority switching coefficient of the second target power module is obtained in combination with the corresponding operation fault coefficient; Control switching module: control all second target power modules in the power adapter switch power module group to switch the standby power adapter switch power modules in the order of priority switching coefficients from large to small; Obtaining the output voltage, operating temperature and switching frequency of the first target power module during operation to obtain the operating fault coefficient includes: Continuously acquiring the voltage output by the first target power module during operation at multiple moments to obtain an output voltage sequence, and calculating a standard deviation of the output voltage sequence, and using the standard deviation of the output voltage sequence as an output voltage fluctuation value; Compare each voltage value in the output voltage sequence with a preset standard output voltage range, and record a voltage value that is not within the preset standard output voltage range as an abnormal voltage value; The total number of abnormal voltage values ​​in the output voltage sequence is divided by the total number of all voltage values ​​in the output voltage sequence to obtain an output voltage unqualified value; The output voltage fluctuation value and the output voltage unqualified value are normalized, and the output voltage abnormality coefficient of the first target power module is obtained according to the normalized output voltage fluctuation value and the output voltage unqualified value. The calculation formula is: , where is the output voltage abnormality coefficient, and are the normalized output voltage fluctuation value and the output voltage unqualified value, and They are and The preset scaling factor of and All are greater than 0; The operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature and the switching frequency of the first target power module during operation.

2. A power adapter switching power supply control system according to claim 1, characterized in that: The operation fault coefficients obtained according to the output voltage abnormality coefficient, the operating temperature and the switching frequency of the first target power module include: The time taken for the first target power module to rise to a preset temperature equilibrium point during operation is obtained as a target time period, and a time-temperature curve is drawn according to the temperature at each moment in the target time period; The time-temperature curve is divided into several sub-curves, and the slope of each sub-curve is calculated as the actual slope, and the absolute difference between each actual slope and the preset slope is calculated, and the absolute difference of the slope of each sub-curve is added to obtain the temperature rise anomaly coefficient; The temperature abnormality coefficient of the first target power module is calculated according to the temperature rise abnormality coefficient, and the operation fault coefficient is obtained according to the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency of the first target power module.

3. A power adapter switching power control system according to claim 2, characterized in that: Calculating the temperature anomaly coefficient of the first target power module according to the temperature rise anomaly coefficient includes: When the temperature of the first target power module rises to a preset temperature equilibrium point, continuously acquiring the temperature fluctuation data of the first target power module within a preset time period to obtain a current temperature sequence; Extracting temperature fluctuation data of the first target power module in a preset time period under normal working conditions after the temperature of the first target power module rises to a preset temperature equilibrium point from the pre-acquired historical data as a template temperature sequence; Construct a distance matrix, in which each element is the distance between the current temperature data point in the current temperature sequence and the template temperature data point in the template temperature sequence; A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the current temperature sequence and the template temperature sequence; According to the calculated shortest path, the current temperature sequence is aligned with the template temperature sequence; According to the aligned current temperature sequence and the template temperature sequence, the similarity between them is calculated; The calculated similarity is compared with the preset similarity threshold. If the similarity is greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is normal; if the similarity is not greater than the preset similarity threshold, the temperature fluctuation of the first target power module after the temperature rises to the preset temperature equilibrium point is abnormal. At this time, the absolute difference between the similarity and the preset similarity threshold is calculated as the temperature fluctuation abnormality coefficient; The temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient are normalized, and the temperature anomaly coefficient is obtained according to the normalized temperature rise anomaly coefficient and the temperature fluctuation anomaly coefficient.

4. A power adapter switch power control system according to claim 3, characterized in that: The temperature anomaly coefficient obtained according to the normalized temperature rise anomaly coefficient and temperature fluctuation anomaly coefficient also includes: ； In the formula, is the temperature anomaly coefficient, and are the normalized temperature rise anomaly coefficient and temperature fluctuation anomaly coefficient, and They are and The preset scaling factor of and Both are greater than 0.

5. A power adapter switch power control system according to claim 2, characterized in that: The operation fault coefficients obtained according to the output voltage abnormality coefficient, temperature abnormality coefficient and switching frequency of the first target power module include: Continuously acquiring the switching frequency of the first target power module during operation to obtain a switching frequency sequence, and calculating the absolute difference between each switching frequency in the switching frequency sequence and the preset switching frequency, and calculating the sum of all the absolute differences, and normalizing the sum of all the absolute differences to obtain a switching frequency deviation coefficient; Taking the output voltage abnormality coefficient, the temperature abnormality coefficient and the switching frequency deviation coefficient as input items of the fuzzy rule, and taking the operation fault coefficient of the first target power module as the output item; Fuzzify the input items and convert the exact input values ​​into fuzzy sets; Define fuzzy rules based on the fuzzy sets of input items to map input items to output items; According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items; For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule; Synthesize the results of all rules and calculate the fuzzy set of output items; The fuzzy values ​​in the fuzzy set of the output items are converted into exact values, and the operation fault coefficient is output according to the defuzzification result.

6. A power adapter switch power control system according to claim 1, characterized in that: Dividing the operation state of the first target power module into a fault state and a normal state according to the comparison result includes: Comparing the operation fault coefficient of the first target power module with a preset operation fault coefficient threshold, if the operation fault coefficient is less than the preset operation fault coefficient threshold, classifying the operation state of the first target power module as a normal state, and at this time, there is no need to replace the first target power module with a backup power adapter switch power module; If the operation fault coefficient is not less than the preset operation fault coefficient threshold, the operation state of the first target power module is classified as a fault state, and the first target power module needs to be replaced with a backup power adapter switching power module.

7. A power adapter switch power control system according to claim 1, characterized in that: Obtaining the operating power of each second target power module in the power adapter switch power module group, and obtaining the priority switching coefficient of the second target power module in combination with the corresponding operation fault coefficient includes: Obtaining the working power of all first target power modules in the power adapter switching power module group when in operation, and calculating the power mean as the average power of the power adapter switching power module group; Obtaining the actual power of each second target power module in the power adapter switching power module group when in operation, calculating the difference between the actual power and the average power, and dividing the difference by the average power to obtain the load factor of the corresponding second target power module; The load factor and the operation fault factor of the second target power module are calculated to obtain the priority switching factor of the second target power module. The calculation formula is: ； In the formula, is the priority switching coefficient, and are load factor and operation failure factor respectively, and They are and The preset scaling factor of and Both are greater than 0.

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