Method and system for monitoring health state of high-power UPS (Uninterrupted Power Supply) battery

Abstract

The invention provides a high-power UPS (Uninterrupted Power Supply) battery health state monitoring method and system. The method comprises the following steps: obtaining and processing electrical parameter data and an internal resistance measured value to obtain a performance quality evaluation index corresponding to a sub-battery, processing according to operation parameter data and sub-battery image information to obtain an operation quality evaluation index and a deformation quality evaluation index corresponding to the sub-battery, and calculating the performance quality evaluation index of the sub-battery according to the operation quality evaluation index and the deformation quality evaluation index. Further processing is carried out in combination with the battery type characteristic data and the effective operation duration data, a health degree comprehensive evaluation index of the high-power UPS battery is obtained, and the health level of the high-power UPS battery is determined through threshold comparison; according to the method, the sub-battery is evaluated by calculating the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index, and the battery pack is further evaluated by calculating the health comprehensive evaluation index and comparing the threshold values, so that intelligent monitoring of the health state of the high-power UPS battery based on multi-parameter fusion is realized.

Description

Technical Field

[0001] The present application relates to the field of battery monitoring technology, and in particular to a method and system for monitoring the health status of a high-power UPS battery. Background Art

[0002] UPS uninterruptible power supply equipment, as an important power supply equipment to ensure the continuous and stable operation of key equipment, its reliability is of vital importance. The battery is the core energy storage component of the UPS system, and its health status directly affects the power supply capacity and reliability of the UPS system. Traditional UPS battery monitoring methods can often only perform simple monitoring of some battery parameters and cannot comprehensively and accurately evaluate the health status of the battery, which can easily lead to the inability to timely detect and handle battery failures, thereby affecting the normal operation of the UPS system.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide a high-power UPS battery health status monitoring method and system, which can evaluate the sub-battery by calculating the performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index, and further calculate the comprehensive health evaluation index and compare the threshold to evaluate the battery group, thereby realizing intelligent monitoring of the health status of high-power UPS batteries based on multi-parameter fusion.

[0005] The present application also provides a high-power UPS battery health status monitoring method, comprising the following steps: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack, and process the electrical parameter data and internal resistance measured value to obtain the performance quality evaluation index of the sub-battery; Obtaining the operating parameter data of each sub-battery of the battery pack, and processing it to obtain the operating quality evaluation index of the sub-battery; Obtain sub-battery image information of each sub-battery of the battery pack, extract data based on the sub-battery image information, obtain morphological parameter data, and process the data to obtain a deformation quality evaluation index of the sub-battery; Processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range.

[0006] Optionally, in the high-power UPS battery health status monitoring method described in the present application, the battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack are obtained, and the performance quality evaluation index of the sub-battery is obtained by processing the electrical parameter data and the internal resistance measured value, including: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack. The electrical parameter data includes the measured value of floating charge voltage and charge and discharge current; Processing the charge and discharge currents by a preset remaining capacity evaluation method to obtain remaining capacity data; The performance quality evaluation index of the sub-battery is obtained by processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data.

[0007] Optionally, in the high-power UPS battery health status monitoring method described in the present application, the obtaining of operating parameter data of each sub-battery of the battery pack and processing to obtain an operating quality evaluation index of the sub-battery includes: Obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; The operation quality evaluation index of the sub-battery is obtained by processing the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value.

[0008] Optionally, in the high-power UPS battery health status monitoring method described in the present application, the sub-battery image information of each sub-battery of the battery pack is obtained, data is extracted according to the sub-battery image information, morphological parameter data is obtained, and the data is processed to obtain the deformation quality evaluation index of the sub-battery, including: Obtain sub-battery image information of each sub-battery of the battery pack at a preset time, and perform preprocessing to obtain a sub-battery optimized image; Extracting data based on the sub-battery optimized image to obtain morphological parameter data, including coordinate values ​​of preset feature points and image pixel size; The deformation quality evaluation index of the sub-battery is obtained by processing the coordinate value and the image pixel size in combination with a preset coordinate reference value.

[0009] Optionally, in the high-power UPS battery health status monitoring method described in the present application, the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index are processed to obtain a comprehensive health evaluation index of the high-power UPS battery, including: According to the battery type characteristic data, a preset battery type and weight value mapping table is searched to obtain a performance quality evaluation weight value, an operation quality evaluation weight value, and a deformation quality evaluation weight value; The health quality evaluation index of the sub-battery is obtained by processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index in combination with the performance quality evaluation weight value, the operation quality evaluation weight value and the deformation quality evaluation weight value; According to the effective operation time data, a preset operation time and weight value mapping table is queried to obtain a health quality evaluation weight value corresponding to the sub-battery; A weighted average process is performed according to the health quality evaluation index and the health quality evaluation weight value to obtain a comprehensive health evaluation index of the high-power UPS battery.

[0010] Optionally, in the high-power UPS battery health status monitoring method described in the present application, the health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range, including: Comparing the health comprehensive evaluation index with a preset health comprehensive evaluation benchmark index to obtain a relative health comprehensive evaluation value; Comparing the relative value of the comprehensive health evaluation with a preset health level evaluation threshold; If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be sub-healthy; If the relative value of the comprehensive health evaluation is greater than a preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be healthy.

[0011] Optionally, the high-power UPS battery health status monitoring method described in the present application further includes: Processing is performed according to the deformation quality evaluation index of the sub-battery to obtain the deformation fluctuation rate of the sub-battery; Performing a threshold comparison between the deformation fluctuation rate and a preset deformation fluctuation allowable rate threshold; If it is less than or equal to the preset deformation fluctuation allowable rate threshold, it is determined that the sub-battery has no abnormal deformation; If it is greater than the preset deformation fluctuation allowable rate threshold, the sub-battery is determined to be abnormally deformed, and the number of abnormal deformations within the preset time period is counted; Comparing the abnormal deformation frequency value with a preset abnormal deformation accumulation threshold; If it is less than the preset abnormal deformation accumulation threshold, no warning will be output; If it is greater than or equal to the preset abnormal deformation accumulation threshold, an early warning response is output.

[0012] In a second aspect, the present application provides a high-power UPS battery health status monitoring system, the system comprising: a memory and a processor, the memory comprising a program of a high-power UPS battery health status monitoring method, the program of the high-power UPS battery health status monitoring method when executed by the processor implements the following steps: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack, and process the electrical parameter data and internal resistance measured value to obtain the performance quality evaluation index of the sub-battery; Obtaining the operating parameter data of each sub-battery of the battery pack, and processing it to obtain the operating quality evaluation index of the sub-battery; Obtain sub-battery image information of each sub-battery of the battery pack, extract data based on the sub-battery image information, obtain morphological parameter data, and process the data to obtain a deformation quality evaluation index of the sub-battery; Processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range.

[0013] Optionally, in a high-power UPS battery health status monitoring system described in the present application, the battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack are obtained, and the performance quality evaluation index of the sub-battery is obtained by processing the electrical parameter data and the internal resistance measured value, including: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack. The electrical parameter data includes the measured value of floating charge voltage and charge and discharge current; Processing the charge and discharge currents by a preset remaining capacity evaluation method to obtain remaining capacity data; The performance quality evaluation index of the sub-battery is obtained by processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data.

[0014] Optionally, in a high-power UPS battery health status monitoring system described in the present application, the obtaining of operating parameter data of each sub-battery of the battery pack and processing to obtain an operating quality evaluation index of the sub-battery includes: Obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; The operation quality evaluation index of the sub-battery is obtained by processing the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value.

[0015] From the above, it can be seen that the present application provides a high-power UPS battery health status monitoring method and system, which evaluates the sub-battery by calculating the performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index, and further calculates the comprehensive health evaluation index and threshold comparison evaluation battery group, thereby realizing intelligent monitoring of the health status of high-power UPS batteries based on multi-parameter fusion.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a high-power UPS battery health status monitoring method provided in an embodiment of the present application; Figure 2 A flowchart of obtaining a sub-battery performance quality evaluation index of a high-power UPS battery health status monitoring method provided in an embodiment of the present application; Figure 3 A flowchart of obtaining a sub-battery operation quality evaluation index in a high-power UPS battery health status monitoring method provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a deformation quality evaluation index of a sub-battery in a high-power UPS battery health status monitoring method provided in an embodiment of the present application; Figure 5 A flow chart of obtaining a comprehensive health evaluation index of a high-power UPS battery in a high-power UPS battery health status monitoring method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 The flowchart of a high-power UPS battery health status monitoring method in some embodiments of the present application. The high-power UPS battery health status monitoring method is used in terminal devices, such as computers, mobile phone terminals, etc. The high-power UPS battery health status monitoring method includes the following steps: S11, obtaining battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack, and processing the electrical parameter data and internal resistance measured value to obtain a performance quality evaluation index of the sub-battery; S12, obtaining the operating parameter data of each sub-battery of the battery pack, and processing the data to obtain the operating quality evaluation index of the sub-battery; S13, obtaining sub-battery image information of each sub-battery of the battery pack, performing data extraction according to the sub-battery image information, obtaining morphological parameter data, and performing processing to obtain a deformation quality evaluation index of the sub-battery; S14, processing the performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; S15. Perform a threshold comparison between the comprehensive health evaluation index and a preset health level evaluation threshold, and determine the health level of the high-power UPS battery according to the threshold range.

[0022] It should be noted that in order to achieve accurate and intelligent monitoring of the health of high-power UPS batteries, the electrical parameter data and the measured internal resistance are first processed to obtain a performance quality evaluation index for evaluating the battery performance, and the operation parameter data are processed to obtain an operation quality evaluation index for evaluating the operation condition. The collected sub-battery image information is processed to obtain a deformation quality evaluation index for evaluating the deformation condition. Then, a comprehensive analysis is performed based on the three aspects of the sub-battery evaluation to obtain a comprehensive health evaluation index for the high-power UPS battery, which is used to evaluate the health status of the battery pack. Finally, the health level of the high-power UPS battery is determined by threshold comparison, thereby realizing intelligent monitoring based on multi-parameter fusion and improving the accuracy and rationality of monitoring.

[0023] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining a sub-battery performance quality evaluation index in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to an embodiment of the present invention, the battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack are obtained, and the electrical parameter data and the internal resistance measured value are processed to obtain the sub-battery performance quality evaluation index, including: S21, obtaining battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack, wherein the electrical parameter data includes the floating charge voltage measured value and the charge and discharge current; S22, processing the charge and discharge current by a preset remaining capacity evaluation method to obtain remaining capacity data; S23, processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with a preset floating charge voltage nominal value, a preset internal resistance parameter value and a preset initial capacity data to obtain a performance quality evaluation index of the sub-battery.

[0024] It should be noted that in order to evaluate the performance of each sub-battery of the battery pack, the technicians in this field can firstly calculate the remaining capacity data according to the real-time acquired charge and discharge current by a preset ampere-hour integration method, and then obtain the remaining capacity data, which refers to the maximum remaining available capacity of the sub-battery after a period of use, and then process the floating charge voltage actual measured value, the internal resistance actual measured value and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data to obtain the performance quality evaluation index of the sub-battery; The performance evaluation index calculation formula is: ; in, is the performance quality evaluation index, , , They are the measured value of floating charge voltage, the measured value of internal resistance and the remaining capacity data. , , They are respectively the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset battery health monitoring platform). The various parameters and characteristic coefficients in the calculation formula of this technology can be obtained by querying the third-party preset battery health monitoring platform. The preset battery health monitoring platform is the source of information data for information data acquisition, interaction and processing during the implementation of this solution. This calculation method and formula are obtained by the technical solution of this application through code call and translation based on system software and tools.

[0025] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining the operating quality evaluation index of a sub-battery in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to an embodiment of the present invention, the operation parameter data of each sub-battery of the battery pack is obtained and processed to obtain the operating quality evaluation index of the sub-battery, including: S31, obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; S32, performing processing according to the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value to obtain an operation quality evaluation index of the sub-battery.

[0026] It should be noted that loose connections or structural damage inside the battery will cause abnormal vibration. At the same time, whether the battery temperature is stable directly affects the battery life. Therefore, the temperature mean and vibration frequency mean are obtained through the preset sensor, and combined with the preset temperature reference value and the preset vibration frequency reference value for processing to obtain the sub-battery operation quality evaluation index; The calculation formula of the operation quality evaluation index is: ; in, To run the quality assessment index, , are the mean temperature and the mean frequency, , They are respectively the preset temperature reference value and the preset vibration frequency reference value. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset battery health monitoring platform).

[0027] Please refer to Figure 4 , Figure 4The present invention is a flowchart of obtaining a deformation quality evaluation index of a sub-battery in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to an embodiment of the present invention, the sub-battery image information of each sub-battery of the battery pack is obtained, data is extracted according to the sub-battery image information, morphological parameter data is obtained, and the data is processed to obtain the deformation quality evaluation index of the sub-battery, including: S41, acquiring sub-battery image information of each sub-battery of the battery pack at a preset time, and performing pre-processing to obtain a sub-battery optimized image; S42, extracting data according to the sub-battery optimized image to obtain morphological parameter data, including coordinate values ​​of preset feature points and image pixel size; S43, performing processing according to the coordinate value and the image pixel size in combination with a preset coordinate reference value to obtain a deformation quality evaluation index of the sub-battery.

[0028] It should be noted that in order to achieve accurate monitoring of battery deformation, the battery shell image is first captured by a high-resolution camera, the deformation features are analyzed using a preset computer vision algorithm, and the morphological parameter data including the coordinate values ​​of preset feature points and the image pixel size are extracted. The acquired coordinate values, image pixel size and preset coordinate reference value are input into the preset sub-battery deformation evaluation model for processing to obtain the deformation quality evaluation index of the sub-battery, wherein the preset sub-battery deformation evaluation model is trained by obtaining the coordinate values, image pixel size and preset coordinate reference value of a large number of historical samples and the corresponding deformation quality evaluation index.

[0029] Please refer to Figure 5 , Figure 5 The present invention is a flowchart of obtaining a comprehensive health evaluation index of a high-power UPS battery in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to an embodiment of the present invention, the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index are processed to obtain a comprehensive health evaluation index of a high-power UPS battery, including: S51, querying a preset battery type and weight value mapping table according to the battery type characteristic data to obtain a performance quality evaluation weight value, an operation quality evaluation weight value, and a deformation quality evaluation weight value; S52, performing processing according to the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index combined with the performance quality evaluation weight value, the operation quality evaluation weight value and the deformation quality evaluation weight value to obtain a health quality evaluation index of the sub-battery; S53, querying a preset operation time and weight value mapping table according to the effective operation time data, and obtaining a health quality evaluation weight value corresponding to the sub-battery; S54, performing weighted averaging processing according to the health quality evaluation index and the health quality evaluation weight value to obtain a comprehensive health evaluation index of the high-power UPS battery.

[0030] It should be noted that high-power UPS batteries mainly include two types: lead-acid batteries and lithium-ion batteries. The battery type characteristic data is used to distinguish the battery type. According to the battery type characteristic data, the preset battery type and weight value mapping table is queried to obtain the performance quality evaluation weight value, operation quality evaluation weight value and deformation quality evaluation weight value. Among them, the preset battery type and weight value mapping table is obtained by querying the preset battery health monitoring platform, and is processed in combination with the corresponding performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index to obtain the health quality evaluation index of the sub-battery; The health quality evaluation index calculation formula is: ; in, is the health quality evaluation index, , , They are performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index. , , They are performance quality assessment weight value, operation quality assessment weight value and deformation quality assessment weight value respectively; The installation and use time of each sub-battery in a group of high-power UPS batteries may be different. The weight corresponding to the corresponding health quality evaluation index should be dynamically adjusted. The preset operation time and weight value mapping table is queried according to the acquired effective operation time data to obtain the health quality evaluation weight value corresponding to the sub-battery. Among them, the preset operation time and weight value mapping table is obtained by querying the preset battery health monitoring platform. Finally, the weighted average processing is performed according to the health quality evaluation index and the queried health quality evaluation weight value to obtain the health comprehensive evaluation index of the high-power UPS battery; The calculation formula of the comprehensive health evaluation index is: ; in, is the comprehensive health evaluation index, is the health quality evaluation index of the j-th sub-battery, is the health quality assessment weight of the j-th sub-battery, and m is the number of sub-batteries.

[0031] According to an embodiment of the present invention, the health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range, including: Comparing the health comprehensive evaluation index with a preset health comprehensive evaluation benchmark index to obtain a relative health comprehensive evaluation value; Comparing the relative value of the comprehensive health evaluation with a preset health level evaluation threshold; If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be sub-healthy; If the relative value of the comprehensive health evaluation is greater than a preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be healthy.

[0032] It should be noted that, first, the obtained health comprehensive evaluation index is compared with the preset health comprehensive evaluation benchmark index to obtain the health comprehensive evaluation relative value. For example, the obtained health comprehensive evaluation index is 8, and the preset health comprehensive evaluation benchmark index is 10, then 8 / 10=0.8 is the health comprehensive evaluation relative value, and then the health comprehensive evaluation relative value is compared with the preset health level assessment threshold. In this embodiment, the preset health level assessment threshold is set to (0, 0.75], (0.75, 1], corresponding to sub-health and health, respectively. For example, the health comprehensive evaluation relative value is 0.8, which is greater than the preset health level assessment threshold, and then the health level of the high-power UPS battery is determined to be healthy.

[0033] According to an embodiment of the present invention, it also includes: Processing is performed according to the deformation quality evaluation index of the sub-battery to obtain the deformation fluctuation rate of the sub-battery; Performing a threshold comparison between the deformation fluctuation rate and a preset deformation fluctuation allowable rate threshold; If it is less than or equal to the preset deformation fluctuation allowable rate threshold, it is determined that the sub-battery has no abnormal deformation; If it is greater than the preset deformation fluctuation allowable rate threshold, the sub-battery is determined to be abnormally deformed, and the number of abnormal deformations within the preset time period is counted; Comparing the abnormal deformation frequency value with a preset abnormal deformation accumulation threshold; If it is less than the preset abnormal deformation accumulation threshold, no warning will be output; If it is greater than or equal to the preset abnormal deformation accumulation threshold, an early warning response is output.

[0034] It should be noted that the monitoring of battery deformation is real-time dynamic monitoring, which not only focuses on the current deformation situation, but also further focuses on the deformation development trend, that is, the deformation quality evaluation index of the sub-battery at different time points is processed to obtain the deformation fluctuation rate of the sub-battery. The deformation fluctuation rate refers to the ratio of the deformation quality evaluation index at the current time point minus the deformation quality evaluation index at the previous time point to the deformation quality evaluation index at the previous time point; the obtained deformation fluctuation rate is compared with the preset deformation fluctuation allowable rate threshold. In this embodiment, the preset deformation fluctuation allowable rate threshold is set to 0.1. For example, the deformation quality evaluation index at the current time point is 8, and the deformation quality evaluation index at the previous time point is 7.5, then (8-7.5) / 7.5= 0.067, which is less than the preset deformation fluctuation allowable rate threshold, then it is determined that the sub-battery has no abnormal deformation. If the deformation quality evaluation index at the current time point is 8.5 and the deformation quality evaluation index at the previous time point is 7.5, then (8.5-7.5) / 7.5=0.13, which is greater than the preset deformation fluctuation allowable rate threshold, then the sub-battery is determined to be abnormally deformed and recorded once. In order to reduce the false alarm rate, the number of abnormal deformations within the preset time period is further counted, and the threshold is compared with the preset abnormal deformation accumulation threshold. In this embodiment, the preset abnormal deformation accumulation threshold is set to 3 times. If it is greater than or equal to the preset abnormal deformation accumulation threshold, it means that the deformation is abnormal, and an early warning response is output to remind the operation and maintenance personnel to perform detection in time.

[0035] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the real-time oxygen content, real-time hydrogen content, real temperature average and actual relative humidity in the battery compartment; The actual temperature average is processed in combination with a preset sensor calibration temperature to obtain a measurement correction coefficient of the sensor; Correcting the real-time oxygen content and the real-time hydrogen content respectively according to the measurement correction coefficient to obtain a first correction value of the oxygen content and a first correction value of the hydrogen content; According to the actual relative humidity and the preset calibration humidity, the first correction value of oxygen content and the first correction value of hydrogen content are respectively corrected to obtain a second correction value of oxygen content and a second correction value of hydrogen content; Obtaining the gas content of the battery compartment by performing a weighted summation process based on the second corrected value of the oxygen content and the second corrected value of the hydrogen content in combination with a preset gas content weight value; Performing a threshold comparison of the gas content with a preset gas content allowable threshold; If it is less than or equal to the preset gas content allowable threshold, the high-power UPS battery is determined to be normal; If the gas content is greater than the preset gas content threshold, it is determined that the high-power UPS battery is abnormal.

[0036] It should be noted that if the high-power UPS battery is a lead-acid battery, water electrolysis reaction will occur during the charging and discharging process, especially when overcharged or insufficient electrolyte, so overcharge or electrolyte loss should be monitored. The technology of the present application obtains the real-time oxygen content and real-time hydrogen content in the battery compartment through a preset gas sensor. In order to further reduce the impact of temperature and humidity on the sensor, the actual temperature average and the actual relative humidity are obtained through the preset sensor at the same time. The technicians in this field can process the actual temperature average in combination with the preset sensor nominal temperature through the Arrhenius equation to obtain the measurement correction coefficient of the sensor; the real-time oxygen content and the real-time hydrogen content are respectively corrected according to the obtained measurement correction coefficient to obtain the first oxygen content correction value and the first hydrogen content correction value. For example, the obtained measurement correction coefficient is 1.15, and the real-time oxygen content is 800, then 800*1.15=920 is the first oxygen content correction value; further humidity compensation correction is performed; The calculation formula of the second correction value of oxygen content is: ; in, is the second correction value of oxygen content, is the first correction value of oxygen content, , They are the actual relative humidity and the preset calibration humidity. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset battery health monitoring platform). Similarly, the second correction value of the hydrogen content can be obtained. Finally, a weighted summation process is performed based on the obtained second correction value of the oxygen content and the second correction value of the hydrogen content in combination with a preset gas content weight value to obtain the gas content of the battery compartment, wherein the corresponding weight value is obtained by querying a preset battery health monitoring platform, and a threshold comparison is performed to determine whether the status of the high-power UPS battery is normal or abnormal.

[0037] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the serial number information and output current measured value of the preset conductive sensor; Performing a threshold comparison between the output current measured value and a preset output current reference threshold; If the output current measured value is less than the preset output current reference threshold, it is determined that the high-power UPS battery is not leaking; If the output current measured value is greater than or equal to the preset output current reference threshold, it is determined that the high-power UPS battery is leaking, and the leaking battery location information is determined according to the serial number information; The leaking battery location information is sent to the management terminal for display.

[0038] It should be noted that the electrolyte of the lead-acid battery is mainly dilute sulfuric acid, which is corrosive and highly conductive. Leakage will cause the battery performance to deteriorate and should be monitored. The present application obtains the actual current value through a preset conductive sensor, and compares the threshold with the preset output current reference threshold. In this embodiment, the preset output current reference threshold is set to 1μA. If the obtained output current measured value is 1.1μA, which is greater than the preset output current reference threshold, the high-power UPS battery is judged to be leaking, and the location information of the leaking battery is determined based on the numbering information, and sent to the operation and maintenance personnel for display, so as to facilitate timely disposal.

[0039] It is worth mentioning that according to an embodiment of the present invention, it also includes: Acquire the ultrasonic echo signal of the high-power UPS battery and process it to obtain the echo time, spectrum peak and amplitude increase; Inputting the echo time, spectrum peak value and amplitude increase into a preset lithium dendrite prediction and identification model for processing to obtain a lithium dendrite risk label, including low risk or high risk; If the lithium dendrite risk label is high risk, an early warning response is output.

[0040] It should be noted that if the high-power UPS battery is a lithium-ion battery, it is necessary to pay attention to the formation of negative electrode lithium dendrites to prevent the risk of internal short circuit. The present application uses an ultrasonic probe to transmit sound waves to the battery surface, obtain ultrasonic echo signals, and extract echo time, spectrum peak and amplitude increase, wherein the spectrum peak is obtained by technical personnel in this field according to fast Fourier transform analysis of the echo spectrum, and the obtained echo time, spectrum peak and amplitude increase are input into a preset lithium dendrite prediction and recognition model for processing to obtain lithium dendrite risk labels including low risk or high risk, wherein the preset lithium dendrite prediction and recognition model is obtained by obtaining the echo time, spectrum peak and amplitude increase of a large number of historical samples and the corresponding lithium dendrite risk labels for training.

[0041] The present invention also discloses a high-power UPS battery health status monitoring system, including a memory and a processor, wherein the memory includes a high-power UPS battery health status monitoring method program, and when the high-power UPS battery health status monitoring method program is executed by the processor, the following steps are implemented: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack, and process the electrical parameter data and internal resistance measured value to obtain the performance quality evaluation index of the sub-battery; Obtaining the operating parameter data of each sub-battery of the battery pack, and processing it to obtain the operating quality evaluation index of the sub-battery; Obtain sub-battery image information of each sub-battery of the battery pack, extract data based on the sub-battery image information, obtain morphological parameter data, and process the data to obtain a deformation quality evaluation index of the sub-battery; Processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range.

[0042] It should be noted that in order to achieve accurate and intelligent monitoring of the health of high-power UPS batteries, the electrical parameter data and the measured internal resistance are first processed to obtain a performance quality evaluation index for evaluating the battery performance, and the operation parameter data are processed to obtain an operation quality evaluation index for evaluating the operation condition. The collected sub-battery image information is processed to obtain a deformation quality evaluation index for evaluating the deformation condition. Then, a comprehensive analysis is performed based on the three aspects of the sub-battery evaluation to obtain a comprehensive health evaluation index for the high-power UPS battery, which is used to evaluate the health status of the battery pack. Finally, the health level of the high-power UPS battery is determined by threshold comparison, thereby realizing intelligent monitoring based on multi-parameter fusion and improving the accuracy and rationality of monitoring.

[0043] According to an embodiment of the present invention, the step of obtaining the battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack, and performing processing according to the electrical parameter data and the internal resistance measured value to obtain the performance quality evaluation index of the sub-battery includes: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack. The electrical parameter data includes the measured value of floating charge voltage and charge and discharge current; Processing the charge and discharge currents by a preset remaining capacity evaluation method to obtain remaining capacity data; The performance quality evaluation index of the sub-battery is obtained by processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data.

[0044] It should be noted that in order to evaluate the performance of each sub-battery of the battery pack, the technicians in this field can firstly calculate the remaining capacity data according to the real-time acquired charge and discharge current by a preset ampere-hour integration method, and then obtain the remaining capacity data, which refers to the maximum remaining available capacity of the sub-battery after a period of use, and then process the floating charge voltage actual measured value, the internal resistance actual measured value and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data to obtain the performance quality evaluation index of the sub-battery; The performance evaluation index calculation formula is: ; in, is the performance quality evaluation index, , , They are the measured value of floating charge voltage, the measured value of internal resistance and the remaining capacity data. , , They are respectively the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset battery health monitoring platform). The various parameters and characteristic coefficients in the calculation formula of this technology can be obtained by querying the third-party preset battery health monitoring platform. The preset battery health monitoring platform is the source of information data for information data acquisition, interaction and processing during the implementation of this solution. This calculation method and formula are obtained by the technical solution of this application through code call and translation based on system software and tools.

[0045] According to an embodiment of the present invention, the step of obtaining the operating parameter data of each sub-battery of the battery pack and processing the data to obtain the operating quality evaluation index of the sub-battery includes: Obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; The operation quality evaluation index of the sub-battery is obtained by processing the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value.

[0046] It should be noted that loose connections or structural damage inside the battery will cause abnormal vibration. At the same time, whether the battery temperature is stable directly affects the battery life. Therefore, the temperature mean and vibration frequency mean are obtained through the preset sensor, and combined with the preset temperature reference value and the preset vibration frequency reference value for processing to obtain the sub-battery operation quality evaluation index; The calculation formula of the operation quality evaluation index is: ; in, To run the quality assessment index, , are the mean temperature and the mean frequency, , They are respectively the preset temperature reference value and the preset vibration frequency reference value. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset battery health monitoring platform).

[0047] According to an embodiment of the present invention, the step of acquiring sub-battery image information of each sub-battery of the battery pack, extracting data based on the sub-battery image information, obtaining morphological parameter data, and processing the data to obtain a deformation quality evaluation index of the sub-battery includes: Obtain sub-battery image information of each sub-battery of the battery pack at a preset time, and perform preprocessing to obtain a sub-battery optimized image; Extracting data based on the sub-battery optimized image to obtain morphological parameter data, including coordinate values ​​of preset feature points and image pixel size; The deformation quality evaluation index of the sub-battery is obtained by processing the coordinate value and the image pixel size in combination with a preset coordinate reference value.

[0048] It should be noted that in order to achieve accurate monitoring of battery deformation, the battery shell image is first captured by a high-resolution camera, the deformation features are analyzed using a preset computer vision algorithm, and the morphological parameter data including the coordinate values ​​of preset feature points and the image pixel size are extracted. The acquired coordinate values, image pixel size and preset coordinate reference value are input into the preset sub-battery deformation evaluation model for processing to obtain the deformation quality evaluation index of the sub-battery, wherein the preset sub-battery deformation evaluation model is trained by obtaining the coordinate values, image pixel size and preset coordinate reference value of a large number of historical samples and the corresponding deformation quality evaluation index.

[0049] According to an embodiment of the present invention, the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index are processed to obtain a comprehensive health evaluation index of a high-power UPS battery, including: According to the battery type characteristic data, a preset battery type and weight value mapping table is searched to obtain a performance quality evaluation weight value, an operation quality evaluation weight value, and a deformation quality evaluation weight value; The health quality evaluation index of the sub-battery is obtained by processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index in combination with the performance quality evaluation weight value, the operation quality evaluation weight value and the deformation quality evaluation weight value; According to the effective operation time data, a preset operation time and weight value mapping table is queried to obtain a health quality evaluation weight value corresponding to the sub-battery; A weighted average process is performed according to the health quality evaluation index and the health quality evaluation weight value to obtain a comprehensive health evaluation index of the high-power UPS battery.

[0050] It should be noted that high-power UPS batteries mainly include two types: lead-acid batteries and lithium-ion batteries. The battery type characteristic data is used to distinguish the battery type. According to the battery type characteristic data, the preset battery type and weight value mapping table is queried to obtain the performance quality evaluation weight value, operation quality evaluation weight value and deformation quality evaluation weight value. Among them, the preset battery type and weight value mapping table is obtained by querying the preset battery health monitoring platform, and is processed in combination with the corresponding performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index to obtain the health quality evaluation index of the sub-battery; The health quality evaluation index calculation formula is: ; in, is the health quality evaluation index, , , They are performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index. , , They are performance quality assessment weight value, operation quality assessment weight value and deformation quality assessment weight value respectively; The installation and use time of each sub-battery in a group of high-power UPS batteries may be different. The weight corresponding to the corresponding health quality evaluation index should be dynamically adjusted. The preset operation time and weight value mapping table is queried according to the acquired effective operation time data to obtain the health quality evaluation weight value corresponding to the sub-battery. Among them, the preset operation time and weight value mapping table is obtained by querying the preset battery health monitoring platform. Finally, the weighted average processing is performed according to the health quality evaluation index and the queried health quality evaluation weight value to obtain the health comprehensive evaluation index of the high-power UPS battery; The calculation formula of the comprehensive health evaluation index is: ; in, is the comprehensive health evaluation index, is the health quality evaluation index of the j-th sub-battery, is the health quality assessment weight of the j-th sub-battery, and m is the number of sub-batteries.

[0051] According to an embodiment of the present invention, the health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range, including: Comparing the health comprehensive evaluation index with a preset health comprehensive evaluation benchmark index to obtain a relative health comprehensive evaluation value; Comparing the relative value of the comprehensive health evaluation with a preset health level evaluation threshold; If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be sub-healthy; If the relative value of the comprehensive health evaluation is greater than a preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be healthy.

[0052] It should be noted that, first, the obtained health comprehensive evaluation index is compared with the preset health comprehensive evaluation benchmark index to obtain the health comprehensive evaluation relative value. For example, the obtained health comprehensive evaluation index is 8, and the preset health comprehensive evaluation benchmark index is 10, then 8 / 10=0.8 is the health comprehensive evaluation relative value, and then the health comprehensive evaluation relative value is compared with the preset health level assessment threshold. In this embodiment, the preset health level assessment threshold is set to (0, 0.75], (0.75, 1], corresponding to sub-health and health, respectively. For example, the health comprehensive evaluation relative value is 0.8, which is greater than the preset health level assessment threshold, and then the health level of the high-power UPS battery is determined to be healthy.

[0053] According to an embodiment of the present invention, it also includes: Processing is performed according to the deformation quality evaluation index of the sub-battery to obtain the deformation fluctuation rate of the sub-battery; Performing a threshold comparison between the deformation fluctuation rate and a preset deformation fluctuation allowable rate threshold; If it is less than or equal to the preset deformation fluctuation allowable rate threshold, it is determined that the sub-battery has no abnormal deformation; If it is greater than the preset deformation fluctuation allowable rate threshold, the sub-battery is determined to be abnormally deformed, and the number of abnormal deformations within the preset time period is counted; Comparing the abnormal deformation frequency value with a preset abnormal deformation accumulation threshold; If it is less than the preset abnormal deformation accumulation threshold, no warning will be output; If it is greater than or equal to the preset abnormal deformation accumulation threshold, an early warning response is output.

[0054] It should be noted that the monitoring of battery deformation is real-time dynamic monitoring, which not only focuses on the current deformation situation, but also further focuses on the deformation development trend, that is, the deformation quality evaluation index of the sub-battery at different time points is processed to obtain the deformation fluctuation rate of the sub-battery. The deformation fluctuation rate refers to the ratio of the deformation quality evaluation index at the current time point minus the deformation quality evaluation index at the previous time point to the deformation quality evaluation index at the previous time point; the obtained deformation fluctuation rate is compared with the preset deformation fluctuation allowable rate threshold. In this embodiment, the preset deformation fluctuation allowable rate threshold is set to 0.1. For example, the deformation quality evaluation index at the current time point is 8, and the deformation quality evaluation index at the previous time point is 7.5, then (8-7.5) / 7.5= 0.067, which is less than the preset deformation fluctuation allowable rate threshold, then it is determined that the sub-battery has no abnormal deformation. If the deformation quality evaluation index at the current time point is 8.5 and the deformation quality evaluation index at the previous time point is 7.5, then (8.5-7.5) / 7.5=0.13, which is greater than the preset deformation fluctuation allowable rate threshold, then the sub-battery is determined to be abnormally deformed and recorded once. In order to reduce the false alarm rate, the number of abnormal deformations within the preset time period is further counted, and the threshold is compared with the preset abnormal deformation accumulation threshold. In this embodiment, the preset abnormal deformation accumulation threshold is set to 3 times. If it is greater than or equal to the preset abnormal deformation accumulation threshold, it means that the deformation is abnormal, and an early warning response is output to remind the operation and maintenance personnel to perform detection in time.

[0055] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the real-time oxygen content, real-time hydrogen content, real temperature average and actual relative humidity in the battery compartment; The actual temperature average is processed in combination with a preset sensor calibration temperature to obtain a measurement correction coefficient of the sensor; Correcting the real-time oxygen content and the real-time hydrogen content respectively according to the measurement correction coefficient to obtain a first correction value of the oxygen content and a first correction value of the hydrogen content; According to the actual relative humidity and the preset calibration humidity, the first correction value of oxygen content and the first correction value of hydrogen content are respectively corrected to obtain a second correction value of oxygen content and a second correction value of hydrogen content; Obtaining the gas content of the battery compartment by performing a weighted summation process based on the second corrected value of the oxygen content and the second corrected value of the hydrogen content in combination with a preset gas content weight value; Performing a threshold comparison of the gas content with a preset gas content allowable threshold; If it is less than or equal to the preset gas content allowable threshold, the high-power UPS battery is determined to be normal; If the gas content is greater than the preset gas content threshold, it is determined that the high-power UPS battery is abnormal.

[0056] It should be noted that if the high-power UPS battery is a lead-acid battery, water electrolysis reaction will occur during the charging and discharging process, especially when overcharged or insufficient electrolyte, so overcharge or electrolyte loss should be monitored. The technology of the present application obtains the real-time oxygen content and real-time hydrogen content in the battery compartment through a preset gas sensor. In order to further reduce the impact of temperature and humidity on the sensor, the actual temperature average and the actual relative humidity are obtained through the preset sensor at the same time. The technicians in this field can process the actual temperature average in combination with the preset sensor nominal temperature through the Arrhenius equation to obtain the measurement correction coefficient of the sensor; the real-time oxygen content and the real-time hydrogen content are respectively corrected according to the obtained measurement correction coefficient to obtain the first oxygen content correction value and the first hydrogen content correction value. For example, the obtained measurement correction coefficient is 1.15, and the real-time oxygen content is 800, then 800*1.15=920 is the first oxygen content correction value; further humidity compensation correction is performed; The calculation formula of the second correction value of oxygen content is: ; in, is the second correction value of oxygen content, is the first correction value of oxygen content, , They are the actual relative humidity and the preset calibration humidity. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset battery health monitoring platform). Similarly, the second correction value of the hydrogen content can be obtained. Finally, a weighted summation process is performed based on the obtained second correction value of the oxygen content and the second correction value of the hydrogen content in combination with a preset gas content weight value to obtain the gas content of the battery compartment, wherein the corresponding weight value is obtained by querying a preset battery health monitoring platform, and a threshold comparison is performed to determine whether the status of the high-power UPS battery is normal or abnormal.

[0057] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain the serial number information and output current measured value of the preset conductive sensor; Performing a threshold comparison between the output current measured value and a preset output current reference threshold; If the output current measured value is less than the preset output current reference threshold, it is determined that the high-power UPS battery is not leaking; If the output current measured value is greater than or equal to the preset output current reference threshold, it is determined that the high-power UPS battery is leaking, and the leaking battery location information is determined according to the serial number information; The leaking battery location information is sent to the management terminal for display.

[0058] It should be noted that the electrolyte of the lead-acid battery is mainly dilute sulfuric acid, which is corrosive and highly conductive. Leakage will cause the battery performance to deteriorate and should be monitored. The present application obtains the actual current value through a preset conductive sensor, and compares the threshold with the preset output current reference threshold. In this embodiment, the preset output current reference threshold is set to 1μA. If the obtained output current measured value is 1.1μA, which is greater than the preset output current reference threshold, the high-power UPS battery is judged to be leaking, and the location information of the leaking battery is determined based on the numbering information, and sent to the operation and maintenance personnel for display, so as to facilitate timely disposal.

[0059] It is worth mentioning that according to an embodiment of the present invention, it also includes: Acquire the ultrasonic echo signal of the high-power UPS battery and process it to obtain the echo time, spectrum peak and amplitude increase; Inputting the echo time, spectrum peak value and amplitude increase into a preset lithium dendrite prediction and identification model for processing to obtain a lithium dendrite risk label, including low risk or high risk; If the lithium dendrite risk label is high risk, an early warning response is output.

[0060] It should be noted that if the high-power UPS battery is a lithium-ion battery, it is necessary to pay attention to the formation of negative electrode lithium dendrites to prevent the risk of internal short circuit. The present application uses an ultrasonic probe to transmit sound waves to the battery surface, obtain ultrasonic echo signals, and extract echo time, spectrum peak and amplitude increase, wherein the spectrum peak is obtained by technical personnel in this field according to fast Fourier transform analysis of the echo spectrum, and the obtained echo time, spectrum peak and amplitude increase are input into a preset lithium dendrite prediction and recognition model for processing to obtain lithium dendrite risk labels including low risk or high risk, wherein the preset lithium dendrite prediction and recognition model is obtained by obtaining the echo time, spectrum peak and amplitude increase of a large number of historical samples and the corresponding lithium dendrite risk labels for training.

[0061] The present invention discloses a high-power UPS battery health status monitoring method and system, which evaluates sub-batteries by calculating performance quality evaluation index, operation quality evaluation index and deformation quality evaluation index, and further calculates the health comprehensive evaluation index and compares the threshold to evaluate the battery group, thereby realizing intelligent monitoring of the health status of high-power UPS batteries based on multi-parameter fusion.

[0062] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0063] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0064] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0065] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0066] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A high power UPS battery health status monitoring method, characterized in that: The following steps are involved: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack, and process the electrical parameter data and internal resistance measured value to obtain the performance quality evaluation index of the sub-battery; Obtaining the operating parameter data of each sub-battery of the battery pack, and processing it to obtain the operating quality evaluation index of the sub-battery; Obtain sub-battery image information of each sub-battery of the battery pack, extract data based on the sub-battery image information, obtain morphological parameter data, and process the data to obtain a deformation quality evaluation index of the sub-battery; Processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range.

2. The high power UPS battery health status monitoring method according to claim 1, characterized in that: The obtaining of battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack, and processing according to the electrical parameter data and the internal resistance measured value to obtain the performance quality evaluation index of the sub-battery includes: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack. The electrical parameter data includes the measured value of floating charge voltage and charge and discharge current; Processing the charge and discharge currents by a preset remaining capacity evaluation method to obtain remaining capacity data; The performance quality evaluation index of the sub-battery is obtained by processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data.

3. The high power UPS battery health status monitoring method according to claim 2, characterized in that: The obtaining of the operating parameter data of each sub-battery of the battery pack and processing the data to obtain the operating quality evaluation index of the sub-battery includes: Obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; The operation quality evaluation index of the sub-battery is obtained by processing the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value.

4. The high power UPS battery health status monitoring method according to claim 3, characterized in that: The obtaining of sub-battery image information of each sub-battery of the battery pack, performing data extraction according to the sub-battery image information, obtaining morphological parameter data, and performing processing to obtain a deformation quality evaluation index of the sub-battery includes: Obtain sub-battery image information of each sub-battery of the battery pack at a preset time, and perform preprocessing to obtain a sub-battery optimized image; Extracting data based on the sub-battery optimized image to obtain morphological parameter data, including coordinate values ​​of preset feature points and image pixel size; The deformation quality evaluation index of the sub-battery is obtained by processing the coordinate value and the image pixel size in combination with a preset coordinate reference value.

5. The high power UPS battery health status monitoring method according to claim 4, characterized in that: The performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index are processed to obtain a comprehensive health evaluation index of the high-power UPS battery, including: According to the battery type characteristic data, a preset battery type and weight value mapping table is searched to obtain a performance quality evaluation weight value, an operation quality evaluation weight value, and a deformation quality evaluation weight value; The health quality evaluation index of the sub-battery is obtained by processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index in combination with the performance quality evaluation weight value, the operation quality evaluation weight value and the deformation quality evaluation weight value; According to the effective operation time data, a preset operation time and weight value mapping table is queried to obtain a health quality evaluation weight value corresponding to the sub-battery; A weighted average process is performed according to the health quality evaluation index and the health quality evaluation weight value to obtain a comprehensive health evaluation index of the high-power UPS battery.

6. The high power UPS battery health status monitoring method according to claim 5, characterized in that: The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range, including: Comparing the health comprehensive evaluation index with a preset health comprehensive evaluation benchmark index to obtain a relative health comprehensive evaluation value; Comparing the relative value of the comprehensive health evaluation with a preset health level evaluation threshold; If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be sub-healthy; If the relative value of the comprehensive health evaluation is greater than a preset health level evaluation threshold, the health level of the high-power UPS battery is determined to be healthy.

7. The high power UPS battery health status monitoring method according to claim 6, characterized in that: Also includes: Processing is performed according to the deformation quality evaluation index of the sub-battery to obtain the deformation fluctuation rate of the sub-battery; Performing a threshold comparison between the deformation fluctuation rate and a preset deformation fluctuation allowable rate threshold; If it is less than or equal to the preset deformation fluctuation allowable rate threshold, it is determined that the sub-battery has no abnormal deformation; If it is greater than the preset deformation fluctuation allowable rate threshold, the sub-battery is determined to be abnormally deformed, and the number of abnormal deformations within the preset time period is counted; Comparing the abnormal deformation frequency value with a preset abnormal deformation accumulation threshold; If it is less than the preset abnormal deformation accumulation threshold, no warning will be output; If it is greater than or equal to the preset abnormal deformation accumulation threshold, an early warning response is output.

8. A high power UPS battery health status monitoring system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a program of a high-power UPS battery health status monitoring method, and when the program of the high-power UPS battery health status monitoring method is executed by the processor, the following steps are implemented: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack, and process the electrical parameter data and internal resistance measured value to obtain the performance quality evaluation index of the sub-battery; Obtaining the operating parameter data of each sub-battery of the battery pack, and processing it to obtain the operating quality evaluation index of the sub-battery; Obtain sub-battery image information of each sub-battery of the battery pack, extract data based on the sub-battery image information, obtain morphological parameter data, and process the data to obtain a deformation quality evaluation index of the sub-battery; Processing the performance quality evaluation index, the operation quality evaluation index and the deformation quality evaluation index to obtain a comprehensive health evaluation index of the high-power UPS battery; The health comprehensive evaluation index is compared with a preset health level evaluation threshold, and the health level of the high-power UPS battery is determined according to the threshold range.

9. The high power UPS battery health status monitoring system according to claim 8, characterized in that: The obtaining of battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery of the battery pack, and processing according to the electrical parameter data and the internal resistance measured value to obtain the performance quality evaluation index of the sub-battery includes: Obtain battery type characteristic data, effective operation time data, electrical parameter data and internal resistance measured value of each sub-battery in the battery pack. The electrical parameter data includes the measured value of floating charge voltage and charge and discharge current; Processing the charge and discharge currents by a preset remaining capacity evaluation method to obtain remaining capacity data; The performance quality evaluation index of the sub-battery is obtained by processing the actual measured value of the floating charge voltage, the actual measured value of the internal resistance and the remaining capacity data in combination with the preset floating charge voltage nominal value, the preset internal resistance parameter value and the preset initial capacity data.

10. The high power UPS battery health status monitoring system according to claim 9, characterized in that: The obtaining of the operating parameter data of each sub-battery of the battery pack and processing the data to obtain the operating quality evaluation index of the sub-battery includes: Obtaining operating parameter data of each sub-battery of the battery pack, including the average temperature and the average vibration frequency of the sub-battery within a preset time period; The operation quality evaluation index of the sub-battery is obtained by processing the temperature mean value and the vibration frequency mean value in combination with a preset temperature reference value and a preset vibration frequency reference value.

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