A method and system for monitoring the health status of high-power UPS batteries

Abstract

The present application provides a method and system for monitoring the health status of high-power UPS batteries. The method includes: obtaining electrical parameter data and measured internal resistance values, and processing them to obtain the performance quality evaluation index corresponding to the sub-battery; processing the operating parameter data and the sub-battery image information to obtain the operating quality evaluation index and the shape and deformation quality evaluation index corresponding to the sub-battery; further processing in combination with the battery type characteristic data and the effective operating duration data to obtain the comprehensive health evaluation index of the high-power UPS battery; and determining the health level of the high-power UPS battery through threshold comparison. The present application evaluates the sub-battery by calculating the performance quality evaluation index, the operating quality evaluation index, and the shape and deformation quality evaluation index, and further calculates the comprehensive health evaluation index and performs threshold comparison to evaluate the battery pack, thereby realizing the intelligent monitoring of the health status of high-power UPS batteries based on multi-parameter fusion.

Description

Technical Field

[0001] The present application relates to the technical field of battery monitoring, and more specifically, to a method and system for monitoring the health status of high-power UPS batteries. 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 crucial. And the battery, as the core energy storage component of the UPS system, its health status directly affects the power supply capacity and reliability of the UPS system. Traditional UPS battery monitoring methods can often only simply monitor some parameters of the battery, and cannot comprehensively and accurately evaluate the health status of the battery, which easily leads to the failure to detect and handle battery failures in a timely manner, thereby affecting the normal operation of the UPS system.

[0003] In view of the above problems, there is an urgent need for effective technical solutions. Summary of the Invention

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

[0005] The present application also provides a method for monitoring the health status of high-power UPS batteries, including the following steps:

[0006] Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack, and process the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery;

[0007] Obtain the operation parameter data of each sub-battery in the battery pack, and process it to obtain the operation quality evaluation index of the sub-battery;

[0008] Obtain the sub-battery image information of each sub-battery in the battery pack, extract data according to the sub-battery image information to obtain the morphological parameter data, and process it to obtain the form and deformation quality evaluation index of the sub-battery;

[0009] Process the performance quality evaluation index, operation quality evaluation index, and form and deformation quality evaluation index to obtain the health degree comprehensive evaluation index of the high-power UPS battery;

[0010] Compare the health degree comprehensive evaluation index with a preset health level evaluation threshold, and determine the health level of the high-power UPS battery according to the threshold range it belongs to.

[0011] Optionally, in the high-power UPS battery health status monitoring method described in this application, the steps of obtaining the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack, and processing the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery include:

[0012] Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack. The electrical parameter data includes the measured floating charge voltage and the charge and discharge current.

[0013] Process the charge and discharge current through a preset remaining capacity evaluation method to obtain the remaining capacity data.

[0014] Process the measured floating charge voltage, measured internal resistance value, and remaining capacity data in combination with the preset nominal floating charge voltage, preset internal resistance parameter value, and preset initial capacity data to obtain the performance quality evaluation index of the sub-battery.

[0015] Optionally, in the high-power UPS battery health status monitoring method described in this application, the steps of obtaining the operation parameter data of each sub-battery in the battery pack and processing it to obtain the operation quality evaluation index of the sub-battery include:

[0016] Obtain the operation parameter data of each sub-battery in the battery pack, including the average temperature and average vibration frequency of the sub-battery within a preset time period.

[0017] Process the average temperature and average vibration frequency in combination with the preset temperature reference value and preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery.

[0018] Optionally, in the high-power UPS battery health status monitoring method described in this application, the steps of obtaining the sub-battery image information of each sub-battery in the battery pack, extracting data based on the sub-battery image information to obtain the morphological parameter data, and processing it to obtain the shape quality evaluation index of the sub-battery include:

[0019] Obtain the sub-battery image information of each sub-battery in the battery pack at a preset time and perform preprocessing to obtain the optimized sub-battery image.

[0020] Extract data based on the optimized sub-battery image to obtain the morphological parameter data, including the coordinate values of preset feature points and the image pixel size.

[0021] Process the coordinate values and the image pixel size in combination with the preset coordinate reference value to obtain the shape quality evaluation index of the sub-battery.

[0022] Optionally, in the high-power UPS battery health status monitoring method described in this application, the process of processing the performance quality evaluation index, operation quality evaluation index, and deformation quality evaluation index to obtain the comprehensive health evaluation index of the high-power UPS battery includes:

[0023] Query the preset battery type and weight value mapping table according to the battery type characteristic data to obtain the performance quality evaluation weight value, operation quality evaluation weight value, and deformation quality evaluation weight value;

[0024] Process the performance quality evaluation index, operation quality evaluation index, and deformation quality evaluation index in combination with the performance quality evaluation weight value, operation quality evaluation weight value, and deformation quality evaluation weight value to obtain the quality evaluation index of the sub-battery's health;

[0025] Query the preset operation duration and weight value mapping table according to the effective operation duration data to obtain the quality evaluation weight value of the sub-battery's health corresponding to it;

[0026] Perform weighted average processing on the quality evaluation index of the health and the quality evaluation weight value of the health to obtain the comprehensive health evaluation index of the high-power UPS battery.

[0027] Optionally, in the high-power UPS battery health status monitoring method described in this application, the process of comparing the comprehensive health evaluation index with the preset health level evaluation threshold and determining the health level of the high-power UPS battery according to the threshold range it belongs to includes:

[0028] Compare the comprehensive health evaluation index with the preset comprehensive health evaluation benchmark index to obtain the relative value of the comprehensive health evaluation;

[0029] Compare the relative value of the comprehensive health evaluation with the preset health level evaluation threshold;

[0030] If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is sub-healthy;

[0031] If the relative value of the comprehensive health evaluation is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

[0032] Optionally, in the high-power UPS battery health status monitoring method described in this application, it further includes:

[0033] Process the deformation quality evaluation index of the sub-battery to obtain the deformation volatility of the sub-battery;

[0034] Compare the deformation volatility with the preset deformation fluctuation permission rate threshold;

[0035] 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;

[0036] 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;

[0037] Comparing the abnormal deformation frequency value with a preset abnormal deformation accumulation threshold;

[0038] If it is less than the preset abnormal deformation accumulation threshold, no warning will be output;

[0039] If it is greater than or equal to the preset abnormal deformation accumulation threshold, an early warning response is output.

[0040] 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:

[0041] 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;

[0042] 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;

[0043] 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;

[0044] 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;

[0045] 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.

[0046] 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:

[0047] Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack. The electrical parameter data includes the measured floating charge voltage and charge and discharge current.

[0048] Process the charge and discharge current through a preset remaining capacity evaluation method to obtain the remaining capacity data.

[0049] Process the measured floating charge voltage, measured internal resistance value, and remaining capacity data in combination with the preset nominal floating charge voltage, preset internal resistance parameter value, and preset initial capacity data to obtain the performance quality evaluation index of the sub-battery.

[0050] Optionally, in a high-power UPS battery health status monitoring system described in this application, the obtaining of the operation parameter data of each sub-battery in the battery pack and the processing to obtain the operation quality evaluation index of the sub-battery include:

[0051] Obtain the operation parameter data of each sub-battery in the battery pack, including the average temperature and average vibration frequency of the sub-battery within a preset time period.

[0052] Process the average temperature and average vibration frequency in combination with the preset temperature reference value and preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery.

[0053] As can be seen from the above, a high-power UPS battery health status monitoring method and system provided in this application evaluate the sub-battery by calculating the performance quality evaluation index, operation quality evaluation index, and form and deformation quality evaluation index, and further calculate the health degree comprehensive evaluation index and compare it with the threshold to evaluate the battery pack, thereby realizing the intelligent monitoring of the health status of high-power UPS batteries based on multi-parameter fusion.

[0054] Other features and advantages of this application will be described in the subsequent description, and some of them will become obvious from the description, or can be understood by implementing the embodiments of this application. The objectives and other advantages of this application can be achieved and obtained through the structures specifically pointed out in the written description and the drawings. Description of the Drawings

[0055] To more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required to be used in the embodiments of this application. It should be understood that the following drawings only show some embodiments of this application, so they should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0056] Figure 1 It is a flowchart of a high-power UPS battery health status monitoring method provided by an embodiment of this application.

[0057] Figure 2 Flow chart for obtaining the performance quality evaluation index of sub - batteries in a high - power UPS battery health status monitoring method provided by an embodiment of this application;

[0058] Figure 3 Flow chart for obtaining the operation quality evaluation index of sub - batteries in a high - power UPS battery health status monitoring method provided by an embodiment of this application;

[0059] Figure 4 Flow chart for obtaining the shape and quality evaluation index of sub - batteries in a high - power UPS battery health status monitoring method provided by an embodiment of this application;

[0060] Figure 5 Flow chart for obtaining the comprehensive evaluation index of the health degree of a high - power UPS battery in a high - power UPS battery health status monitoring method provided by an embodiment of this application. Detailed implementation manners

[0061] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. Usually, the components of the embodiments of this application described and illustrated here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but only represents the selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative efforts belong to the scope of protection of this application.

[0062] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, 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, terms such as "first", "second", etc. are only used for differential description and cannot be understood as indicating or implying relative importance.

[0063] Please refer to Figure 1 , Figure 1 is a flow chart of a high - power UPS battery health status monitoring method in some embodiments of this application. This high - power UPS battery health status monitoring method is used in terminal devices, such as computers, mobile phone terminals, etc. This high - power UPS battery health status monitoring method includes the following steps:

[0064] S11. Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance values of each sub - battery in the battery pack, process the electrical parameter data and the measured internal resistance values to obtain the performance quality evaluation index of the sub - battery;

[0065] 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;

[0066] 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;

[0067] 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;

[0068] 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.

[0069] 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.

[0070] 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:

[0071] 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;

[0072] S22, processing the charge and discharge current by a preset remaining capacity evaluation method to obtain remaining capacity data;

[0073] S23. Process according to the measured floating charge voltage value, the measured internal resistance value, and the remaining capacity data in combination with the preset nominal floating charge voltage value, the preset internal resistance parameter value, and the preset initial capacity data to obtain the performance quality evaluation index of the sub-battery.

[0074] It should be noted that in order to evaluate the performance of each sub-battery in the battery pack, those skilled in the art can first calculate through the preset ampere-hour integration method based on the real-time obtained charge and discharge current to obtain the remaining capacity data. The remaining capacity data refers to the remaining maximum available capacity after the sub-battery has been used for a period of time. Then, process according to the measured floating charge voltage value, the measured internal resistance value, and the remaining capacity data in combination with the preset nominal floating charge voltage value, the preset internal resistance parameter value, and the preset initial capacity data to obtain the performance quality evaluation index of the sub-battery;

[0075] The calculation formula for the performance quality evaluation index is:

[0076] ;

[0077] Wherein, is the performance quality evaluation index, , , are respectively the measured floating charge voltage value, the measured internal resistance value, and the remaining capacity data, , , are respectively the preset nominal floating charge voltage value, the preset internal resistance parameter value, and the preset initial capacity data, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset battery health monitoring platform). Each parameter and characteristic coefficient in the calculation formula of the present technology can be obtained by querying through a third-party preset battery health monitoring platform. The preset battery health monitoring platform is the information data source for information data acquisition, interaction, and processing during the implementation process of this solution. This calculation method and formula are obtained by the technical solution of the present application through code calling and translation based on system software and tools.

[0078] Please refer to Figure 3 , Figure 3 which is a flowchart for obtaining the operation quality evaluation index of the sub-battery in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to the embodiments of the present invention, the obtaining of the operation parameter data of each sub-battery in the battery pack and processing to obtain the operation quality evaluation index of the sub-battery includes:

[0079] S31. Obtain the operation parameter data of each sub-battery in the battery pack, including the temperature average value and the vibration frequency average value of the sub-battery within a preset time period;

[0080] S32. Process according to the average temperature and average vibration frequency in combination with a preset temperature reference value and a preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery.

[0081] It should be noted that loose internal connections or structural damage of the battery will cause abnormal vibrations. At the same time, the stability of the battery temperature directly affects the battery life. Therefore, the average temperature and average vibration frequency are obtained through preset sensors, and processed in combination with the preset temperature reference value and the preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery.

[0082] The calculation formula of the operation quality evaluation index is:

[0083] ;

[0084] Wherein, is the operation quality evaluation index, and are the average temperature and average vibration frequency respectively, and are the preset temperature reference value and the preset vibration frequency reference value respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset battery health monitoring platform).

[0085] Please refer to Figure 4 Figure 4 is a flowchart for obtaining the form quality evaluation index of the sub-battery in a high-power UPS battery health status monitoring method in some embodiments of the present application. According to the embodiments of the present invention, the method for obtaining the sub-battery image information of each sub-battery of the battery pack, extracting data according to the sub-battery image information to obtain the form parameter data, and processing to obtain the form quality evaluation index of the sub-battery includes:

[0086] S41. Obtain the sub-battery image information of each sub-battery of the battery pack within a preset time, and perform preprocessing to obtain the optimized sub-battery image;

[0087] S42. Extract data according to the optimized sub-battery image to obtain the form parameter data, including the coordinate values of preset feature points and the image pixel size;

[0088] S43. Process according to the coordinate values and the image pixel size in combination with a preset coordinate reference value to obtain the form quality evaluation index of the sub-battery.

[0089] ​It should be noted that, in order to accurately monitor the deformation of the battery, first, the image of the battery case is captured by a high-resolution camera, and the deformation characteristics are analyzed using a pre-designed computer vision algorithm. The morphological parameter data including the coordinate values of the preset feature points and the image pixel size are extracted, and the obtained 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 evaluation index of the sub-battery. Among them, the preset sub-battery deformation evaluation model is obtained by training with the coordinate values, image pixel size, preset coordinate reference value of a large number of historical samples and the corresponding deformation evaluation index.

[0090] Please refer to Figure 5 , Figure 5 FIG. is a flowchart of obtaining the comprehensive evaluation index of the health status of a high-power UPS battery in a method for monitoring the health status of a high-power UPS battery according to some embodiments of the present application. According to an embodiment of the present invention, the processing the performance evaluation index, operation evaluation index, and deformation evaluation index to obtain the comprehensive evaluation index of the health status of the high-power UPS battery includes:

[0091] S51. Query the preset battery type and weight value mapping table according to the battery type characteristic data to obtain the performance evaluation weight value, operation evaluation weight value, and deformation evaluation weight value;

[0092] S52. Process the performance evaluation index, operation evaluation index, and deformation evaluation index in combination with the performance evaluation weight value, operation evaluation weight value, and deformation evaluation weight value to obtain the health evaluation index of the sub-battery;

[0093] S53. Query the preset operation duration and weight value mapping table according to the effective operation duration data to obtain the health evaluation weight value corresponding to the sub-battery;

[0094] S54. Perform weighted average processing on the health evaluation index and the health evaluation weight value to obtain the comprehensive evaluation index of the health status of the high-power UPS battery.

[0095] It should be noted that the high-power UPS battery mainly includes two types: lead-acid battery and lithium-ion battery. The battery type characteristic data is used to distinguish the battery type. Query the preset battery type and weight value mapping table according to the battery type characteristic data to obtain the performance evaluation weight value, operation evaluation weight value, and deformation evaluation weight value. Among them, the preset battery type and weight value mapping table is obtained by querying through the preset battery health monitoring platform, and is processed in combination with the corresponding performance evaluation index, operation evaluation index, and deformation evaluation index to obtain the health evaluation index of the sub-battery;

[0096] The calculation formula of the health evaluation index is:

[0097] ;

[0098] Among them, is the health quality evaluation index, , , are the performance quality evaluation index, the operation quality evaluation index, and the deformation quality evaluation index respectively, , , are the performance quality evaluation weight value, the operation quality evaluation weight value, and the deformation quality evaluation weight value respectively;

[0099] The installation and usage time of each sub-battery in a group of high-power UPS batteries may be different. The weight corresponding to the health quality evaluation index should be dynamically adjusted. Query the preset mapping table of operation duration and weight value according to the obtained effective operation duration data to obtain the health quality evaluation weight value corresponding to the sub-battery. Among them, the preset mapping table of operation duration and weight value is obtained by querying the preset battery health monitoring platform. Finally, perform weighted averaging processing according to the health quality evaluation index and the queried health quality evaluation weight value to obtain the comprehensive health evaluation index of the high-power UPS battery;

[0100] The calculation formula of the comprehensive health evaluation index is:

[0101] ;

[0102] Among them, is the comprehensive health evaluation index, is the health quality evaluation index of the jth sub-battery, is the health quality evaluation weight value of the jth sub-battery, and m is the number of sub-batteries.

[0103] According to the embodiment of the present invention, comparing the comprehensive health evaluation index with the preset health level evaluation threshold, and determining the health level of the high-power UPS battery according to the threshold range to which it belongs, includes:

[0104] Comparing the comprehensive health evaluation index with the preset comprehensive health evaluation reference index to obtain the relative value of the comprehensive health evaluation;

[0105] Comparing the relative value of the comprehensive health evaluation with the preset health level evaluation threshold;

[0106] If the relative value of the comprehensive health evaluation is less than or equal to the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is sub-healthy;

[0107] If the relative value of the comprehensive health evaluation is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

[0108] It should be noted that first, the obtained comprehensive health evaluation index is compared with the preset comprehensive health evaluation benchmark index to obtain the relative value of the comprehensive health evaluation. For example, if the obtained comprehensive health evaluation index is 8 and the preset comprehensive health evaluation benchmark index is 10, then 8 / 10 = 0.8 is the relative value of the comprehensive health evaluation. Then, the relative value of the comprehensive health evaluation is compared with the preset health level evaluation threshold. In this embodiment, the preset health level evaluation threshold is set to (0, 0.75] and (0.75, 1], corresponding to sub-health and health respectively. For example, if the relative value of the comprehensive health evaluation is 0.8, which is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

[0109] According to an embodiment of the present invention, it further includes:

[0110] Process according to the form quality evaluation index of the sub-battery to obtain the deformation volatility of the sub-battery;

[0111] Compare the deformation volatility with the preset deformation fluctuation allowance threshold;

[0112] If it is less than or equal to the preset deformation fluctuation allowance threshold, it is determined that the sub-battery has no abnormal deformation;

[0113] If it is greater than the preset deformation fluctuation allowance threshold, it is determined that the sub-battery has abnormal deformation, and the number of abnormal deformation times within a preset time period is counted;

[0114] Compare the number of abnormal deformation times with the preset abnormal deformation accumulation threshold;

[0115] If it is less than the preset abnormal deformation accumulation threshold, no warning is output;

[0116] If it is greater than or equal to the preset abnormal deformation accumulation threshold, a warning response is output.

[0117] It should be noted that the monitoring of battery deformation is real-time dynamic monitoring. It is necessary to not only pay attention to the current deformation situation but also further focus on the development trend of deformation. That is, according to the deformation quality evaluation indexes of the sub-batteries at different time points, the deformation volatility of the sub-batteries is obtained. The deformation volatility refers to the ratio of the difference between the deformation quality evaluation index at the current time point and the deformation quality evaluation index at the previous time point to the deformation quality evaluation index at the previous time point. The obtained deformation volatility is compared with the preset deformation fluctuation permission rate threshold. In this embodiment, the preset deformation fluctuation permission rate threshold is set to 0.1. For example, if 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 permission rate threshold, so 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 permission rate threshold, so it is determined that the sub-battery has abnormal deformation and is recorded once. To reduce the false alarm rate, the number of abnormal deformation values within a preset time period is further statistically counted and 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 indicates continuous abnormal deformation, and then an early warning response is output to remind the operation and maintenance personnel to perform detection in a timely manner.

[0118] It is worth mentioning that according to the embodiment of the present invention, it further includes:

[0119] Obtaining the real-time oxygen content, real-time hydrogen content, average actual temperature, and actual relative humidity in the battery compartment;

[0120] Processing according to the average actual temperature in combination with the preset sensor calibration temperature to obtain the measurement correction coefficient of the sensor;

[0121] Respectively correcting the real-time oxygen content and real-time hydrogen content according to the measurement correction coefficient to obtain the first corrected value of oxygen content and the first corrected value of hydrogen content;

[0122] Respectively correcting the first corrected value of oxygen content and the first corrected value of hydrogen content according to the actual relative humidity in combination with the preset calibration humidity to obtain the second corrected value of oxygen content and the second corrected value of hydrogen content;

[0123] Performing weighted summation processing on the second corrected value of oxygen content and the second corrected value of hydrogen content in combination with the preset gas content weight value to obtain the gas content in the battery compartment;

[0124] Comparing the gas content with the preset gas content permission threshold;

[0125] If it is less than or equal to the preset gas content permission threshold, it is determined that the high-power UPS battery is normal;

[0126] If it is greater than the preset gas content allowable threshold, it is determined that the high-power UPS battery is abnormal.

[0127] It should be noted that if the high-power UPS battery is a lead-acid battery, during the charging and discharging process, especially during overcharging or when the electrolyte is insufficient, the electrolysis reaction of water will occur. Therefore, overcharging or electrolyte loss should be monitored. In the technology of this application, the real-time oxygen content and real-time hydrogen content in the battery compartment are obtained through a preset gas sensor. In order to further reduce the influence of temperature and humidity on the sensor, the real-time temperature average value and the actual relative humidity are obtained through a preset sensor. Those skilled in the art can process them through the Arrhenius equation according to the real-time temperature average value combined with the nominal temperature of the preset sensor 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, if 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 carried out;

[0128] The calculation formula for the second oxygen content correction value is:

[0129] ;

[0130] Among them, is the second oxygen content correction value, is the first oxygen content correction value, , are the actual relative humidity and the preset calibration humidity respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset battery health monitoring platform). Similarly, the second hydrogen content correction value can be obtained; finally, the gas content of the battery compartment is obtained by performing weighted summation processing on the obtained second oxygen content correction value and the second hydrogen content correction value in combination with the preset gas content weight value, where the corresponding weight value is obtained by querying through a preset battery health monitoring platform, and a threshold comparison is performed to determine whether the state of the high-power UPS battery is normal or abnormal.

[0131] It is worth mentioning that according to the embodiments of the present invention, it further includes:

[0132] Obtain the number information and the measured output current value of a preset conductive sensor;

[0133] Perform a threshold comparison between the measured output current value and the preset output current reference threshold;

[0134] If the measured output current value is less than the preset output current reference threshold, it is determined that the high-power UPS battery does not leak liquid;

[0135] If the measured output current value is greater than or equal to the preset output current reference threshold, it is determined that the high-power UPS battery is leaking liquid, and the position information of the leaking battery is determined according to the serial number information;

[0136] Send the position information of the leaking battery to the management terminal for display.

[0137] It should be noted that the electrolyte of lead-acid batteries is mainly dilute sulfuric acid, which is corrosive and has strong conductivity. Leaking liquid will cause the battery performance to decline and should be monitored. In this application, a conductive sensor is preset to obtain the measured current value and compare it with the preset output current reference threshold. In this embodiment, the preset output current reference threshold is set to 1 μA. If the obtained measured output current value is 1.1 μA, which is greater than the preset output current reference threshold, it is determined that the high-power UPS battery is leaking liquid, and the position information of the leaking battery is determined according to the serial number information and sent to the operation and maintenance personnel for display for timely handling.

[0138] It is worth mentioning that according to an embodiment of the present invention, it further includes:

[0139] Obtain the ultrasonic echo signal of the high-power UPS battery and process it to obtain the echo time, spectral peak value, and amplitude increase amount;

[0140] Input the echo time, spectral peak value, and amplitude increase amount into a preset lithium dendrite prediction and identification model for processing to obtain a lithium dendrite risk label, including low risk or high risk;

[0141] If the lithium dendrite risk label is high risk, an early warning response is output.

[0142] It should be noted that if the high-power UPS battery is a lithium-ion battery, attention needs to be paid to the formation of lithium dendrites at the negative electrode to prevent the risk of internal short circuit. In this application, an ultrasonic probe is used to emit sound waves to the battery surface to obtain the ultrasonic echo signal, and the echo time, spectral peak value, and amplitude increase amount are extracted. Among them, the spectral peak value is obtained by those skilled in the art through fast Fourier transform analysis of the echo spectrum. The obtained echo time, spectral peak value, and amplitude increase amount are input into a preset lithium dendrite prediction and identification model for processing to obtain a lithium dendrite risk label including low risk or high risk. Among them, the preset lithium dendrite prediction and identification model is obtained by training with the echo time, spectral peak value, and amplitude increase amount of a large number of historical samples and the corresponding lithium dendrite risk labels.

[0143] The present invention also discloses a high-power UPS battery health status monitoring system, including a memory and a processor. The memory includes a high-power UPS battery health status monitoring method program. When the high-power UPS battery health status monitoring method program is executed by the processor, the following steps are implemented:

[0144] Obtain the battery type characteristic data, effective operation duration data, electrical parameter data and measured internal resistance value of each sub-battery in the battery pack, and process according to the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery;

[0145] Obtain the operation parameter data of each sub-battery in the battery pack, and process to obtain the operation quality evaluation index of the sub-battery;

[0146] Obtain the sub-battery image information of each sub-battery in the battery pack, extract data according to the sub-battery image information to obtain the morphological parameter data, and process to obtain the form quality evaluation index of the sub-battery;

[0147] Process the performance quality evaluation index, operation quality evaluation index and form quality evaluation index to obtain the comprehensive health evaluation index of the high-power UPS battery;

[0148] Compare the comprehensive health evaluation index with the preset health level evaluation threshold, and determine the health level of the high-power UPS battery according to the belonging threshold range.

[0149] It should be noted that, in order to achieve accurate and intelligent monitoring of the health status of high-power UPS batteries, first process based on the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index for evaluating the battery performance, process based on the operation parameter data to obtain the operation quality evaluation index for evaluating the operation status, process based on the collected sub-battery image information to obtain the form quality evaluation index for evaluating the deformation status, and then conduct comprehensive analysis according to the evaluation situations of the three aspects of the sub-battery to obtain the comprehensive health evaluation index of the high-power UPS battery for evaluating the health status of the battery pack. Finally, determine the health level of the high-power UPS battery through threshold comparison, thereby realizing intelligent monitoring based on multi-parameter fusion and improving the accuracy and rationality of monitoring.

[0150] According to an embodiment of the present invention, the obtaining the battery type characteristic data, effective operation duration data, electrical parameter data and measured internal resistance value of each sub-battery in the battery pack, and processing according to the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery includes:

[0151] Obtain the battery type characteristic data, effective operation duration data, electrical parameter data and measured internal resistance value of each sub-battery in the battery pack, and the electrical parameter data includes the measured floating charge voltage and charge and discharge current;

[0152] Process according to the charge and discharge current through a preset remaining capacity evaluation method to obtain the remaining capacity data;

[0153] Process according to the measured floating charge voltage, measured internal resistance value and remaining capacity data in combination with the preset nominal floating charge voltage, preset internal resistance parameter value and preset initial capacity data to obtain the performance quality evaluation index of the sub-battery.

[0154] It should be noted that, in order to evaluate the performance of each sub-battery of the battery pack, those skilled in the art can first calculate through the preset ampere-hour integration method based on the real-time obtained charge and discharge current to obtain the remaining capacity data. The remaining capacity data refers to the remaining maximum available capacity after the sub-battery has been used for a period of time. Then, based on the measured floating charge voltage value, the measured internal resistance value, and the remaining capacity data, combined with the preset floating charge voltage nominal value, the preset internal resistance parameter value, and the preset initial capacity data, processing is performed to obtain the performance quality evaluation index of the sub-battery;

[0155] The calculation formula of the performance quality evaluation index is:

[0156] ;

[0157] Wherein, is the performance quality evaluation index, , , are respectively the measured floating charge voltage value, the measured internal resistance value, and the remaining capacity data, , , are respectively the preset floating charge voltage nominal value, the preset internal resistance parameter value, and the preset initial capacity data, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset battery health monitoring platform). Each parameter and characteristic coefficient in the calculation formula of the present technology can be obtained by querying through a third-party preset battery health monitoring platform. The preset battery health monitoring platform is the information data source for information data acquisition, interaction, and processing in the implementation process of this solution. This calculation method and formula are obtained by the technical solution of the present application through code calling and translation based on system software and tools.

[0158] According to the embodiment of the present invention, the obtaining of the operation parameter data of each sub-battery of the battery pack and performing processing to obtain the operation quality evaluation index of the sub-battery includes:

[0159] Obtaining the operation 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;

[0160] Performing processing based on the average temperature and the average vibration frequency in combination with a preset temperature reference value and a preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery.

[0161] It should be noted that loose internal connections or structural damages in the battery will cause abnormal vibrations. At the same time, whether the temperature of the battery is stable directly affects the battery service life. Therefore, the average temperature and the average vibration frequency are obtained through preset sensors, and processing is performed in combination with the preset temperature reference value and the preset vibration frequency reference value to obtain the operation quality evaluation index of the sub-battery;

[0162] The calculation formula of the operation quality evaluation index is as follows:

[0163] ;

[0164] Wherein, is the operation quality evaluation index, , are the average temperature and the average vibration frequency respectively, , are the preset temperature reference value and the preset vibration frequency reference value respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset battery health monitoring platform).

[0165] According to the embodiment of the present invention, the method for obtaining the sub-battery image information of each sub-battery of the battery pack, extracting data according to the sub-battery image information, obtaining the morphological parameter data, and processing the data to obtain the form change quality evaluation index of the sub-battery includes:

[0166] Obtaining the sub-battery image information of each sub-battery of the battery pack at a preset time, and performing preprocessing to obtain an optimized sub-battery image;

[0167] Extracting data according to the optimized sub-battery image to obtain morphological parameter data, including the coordinate values of preset feature points and the image pixel size;

[0168] Processing according to the coordinate values, the image pixel size and a preset coordinate reference value to obtain the form change quality evaluation index of the sub-battery.

[0169] It should be noted that, in order to accurately monitor the deformation of the battery, first, the battery housing image is captured by a high-resolution camera, the deformation characteristics are analyzed by using a pre-designed computer vision algorithm, the morphological parameter data including the coordinate values of preset feature points and the image pixel size is extracted, and the obtained coordinate values, the image pixel size and the preset coordinate reference value are input into a preset sub-battery deformation evaluation model for processing to obtain the form change quality evaluation index of the sub-battery. Among them, the preset sub-battery deformation evaluation model is obtained by training with the coordinate values, the image pixel size, the preset coordinate reference value and the corresponding form change quality evaluation index of a large number of historical samples.

[0170] According to the embodiment of the present invention, the method for processing the performance quality evaluation index, the operation quality evaluation index and the form change quality evaluation index to obtain the comprehensive health evaluation index of the high-power UPS battery includes:

[0171] 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 form change quality evaluation weight value;

[0172] Based on the performance quality evaluation index, the operation quality evaluation index, and the form quality evaluation index, combined with the performance quality evaluation weight value, the operation quality evaluation weight value, and the form quality evaluation weight value, processing is performed to obtain the health quality evaluation index of the sub-battery;

[0173] According to the effective operation duration data, query the preset mapping table of operation duration and weight value to obtain the health quality evaluation weight value corresponding to the sub-battery;

[0174] Based on the health quality evaluation index and the health quality evaluation weight value, weighted average processing is performed to obtain the comprehensive health evaluation index of the high-power UPS battery.

[0175] 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, query the preset mapping table of battery type and weight value to obtain the performance quality evaluation weight value, the operation quality evaluation weight value, and the form quality evaluation weight value. Among them, the preset mapping table of battery type and weight value is obtained by querying the preset battery health monitoring platform. Combined with the corresponding performance quality evaluation index, operation quality evaluation index, and form quality evaluation index, processing is performed to obtain the health quality evaluation index of the sub-battery;

[0176] The calculation formula for the health quality evaluation index is:

[0177] ;

[0178] Among them, is the health quality evaluation index, , , are the performance quality evaluation index, the operation quality evaluation index, and the form quality evaluation index respectively, , , are the performance quality evaluation weight value, the operation quality evaluation weight value, and the form quality evaluation weight value respectively;

[0179] The installation and use time of each sub-battery in a group of high-power UPS batteries may be different, and the corresponding weights of the health quality evaluation index should be adjusted dynamically. According to the obtained effective operation duration data, query the preset mapping table of operation duration and weight value to obtain the health quality evaluation weight value corresponding to the sub-battery. Among them, the preset mapping table of operation duration and weight value is obtained by querying the preset battery health monitoring platform. Finally, based on the health quality evaluation index and the queried health quality evaluation weight value, weighted average processing is performed to obtain the comprehensive health evaluation index of the high-power UPS battery;

[0180] The calculation formula for the comprehensive health evaluation index is:

[0181] ;

[0182] Among them, is the comprehensive health assessment index, is the quality assessment index of the health of the j-th sub-battery, is the quality assessment weight value of the health of the j-th sub-battery, and m is the number of sub-batteries.

[0183] According to the embodiment of the present invention, comparing the comprehensive health assessment index with a preset health level evaluation threshold, and determining the health level of the high-power UPS battery according to the belonging threshold range, includes:

[0184] Comparing the comprehensive health assessment index with a preset comprehensive health assessment reference index to obtain a relative comprehensive health assessment value;

[0185] Comparing the relative comprehensive health assessment value with a preset health level evaluation threshold;

[0186] If the relative comprehensive health assessment value is less than or equal to the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is sub-healthy;

[0187] If the relative comprehensive health assessment value is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

[0188] It should be noted that first, the obtained comprehensive health assessment index is compared with the preset comprehensive health assessment reference index to obtain a relative comprehensive health assessment value. For example, if the obtained comprehensive health assessment index is 8 and the preset comprehensive health assessment reference index is 10, then 8 / 10 = 0.8 is the relative comprehensive health assessment value. Then, the relative comprehensive health assessment value is compared with the preset health level evaluation threshold. In this embodiment, the preset health level evaluation threshold is set to (0, 0.75], (0.75, 1], corresponding to sub-healthy and healthy respectively. For example, if the relative comprehensive health assessment value is 0.8, which is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

[0189] According to the embodiment of the present invention, it further includes:

[0190] Processing according to the form and quality assessment index of the sub-battery to obtain the deformation volatility of the sub-battery;

[0191] Comparing the deformation volatility with a preset deformation fluctuation allowable rate threshold;

[0192] 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;

[0193] If it is greater than the preset deformation fluctuation allowable rate threshold, it is determined that the sub-battery has abnormal deformation, and the number of abnormal deformation times within a preset time period is counted;

[0194] Compare the abnormal deformation times value with a preset abnormal deformation accumulation threshold value.

[0195] If it is less than the preset abnormal deformation accumulation threshold value, no warning is output.

[0196] If it is greater than or equal to the preset abnormal deformation accumulation threshold value, a warning response is output.

[0197] It should be noted that the monitoring of battery deformation is real-time dynamic monitoring. We should not only pay attention to the current deformation situation but also further focus on the deformation development trend, that is, process according to the quality evaluation index of the sub-battery at different time points to obtain the deformation volatility of the sub-battery. The deformation volatility refers to the ratio of the difference between the quality evaluation index of the current time point and the quality evaluation index of the previous time point to the quality evaluation index of the previous time point; compare the obtained deformation volatility with a preset deformation fluctuation approval rate threshold value. In this embodiment, the preset deformation fluctuation approval rate threshold value is set to 0.1. For example, if the quality evaluation index of the current time point is 8 and the quality evaluation index of the previous time point is 7.5, then (8 - 7.5) / 7.5 = 0.067, which is less than the preset deformation fluctuation approval rate threshold value, so it is determined that the sub-battery has no abnormal deformation. If the quality evaluation index of the current time point is 8.5 and the quality evaluation index of the previous time point is 7.5, then (8.5 - 7.5) / 7.5 = 0.13, which is greater than the preset deformation fluctuation approval rate threshold value, so it is determined that the sub-battery has abnormal deformation and is recorded once. To reduce the false alarm rate, further count the abnormal deformation times value within a preset time period and compare it with the preset abnormal deformation accumulation threshold value. In this embodiment, the preset abnormal deformation accumulation threshold value is set to 3 times. If it is greater than or equal to the preset abnormal deformation accumulation threshold value, it indicates continuous abnormal deformation, and a warning response is output to remind the operation and maintenance personnel to perform detection in time.

[0198] It is worth mentioning that according to the embodiment of the present invention, it further includes:

[0199] Obtain the real-time oxygen content, real-time hydrogen content, average actual temperature, and actual relative humidity in the battery compartment.

[0200] Process according to the average actual temperature in combination with a preset sensor calibration temperature to obtain the measurement correction coefficient of the sensor.

[0201] Correct the real-time oxygen content and real-time hydrogen content respectively according to the measurement correction coefficient to obtain the first corrected value of oxygen content and the first corrected value of hydrogen content.

[0202] Correct the first corrected value of oxygen content and the first corrected value of hydrogen content respectively according to the actual relative humidity in combination with a preset calibration humidity to obtain the second corrected value of oxygen content and the second corrected value of hydrogen content.

[0203] Perform a weighted summation process by combining the second oxygen content correction value and the second hydrogen content correction value with a preset gas content weight value to obtain the gas content in the battery compartment;

[0204] Compare the gas content with a preset gas content approval threshold;

[0205] If it is less than or equal to the preset gas content approval threshold, it is determined that the high-power UPS battery is normal;

[0206] If it is greater than the preset gas content approval threshold, it is determined that the high-power UPS battery is abnormal.

[0207] It should be noted that if the high-power UPS battery is a lead-acid battery, during the charging and discharging process, especially during overcharging or when the electrolyte is insufficient, a water electrolysis reaction will occur. Therefore, overcharging or electrolyte loss should be monitored. The technology of this 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 influence of temperature and humidity on the sensor, the real-time temperature average value and the actual relative humidity are obtained through a preset sensor. Those skilled in the art can process according to the real-time temperature average value combined with the nominal temperature of the preset sensor through the Arrhenius equation to obtain the measurement correction coefficient of the sensor; the real-time oxygen content and 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, if 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 perform humidity compensation correction;

[0208] The calculation formula for the second oxygen content correction value is:

[0209] ;

[0210] Wherein, is the second oxygen content correction value, is the first oxygen content correction value, 、 are the actual relative humidity and the preset calibration humidity respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset battery health monitoring platform). Similarly, the second hydrogen content correction value can be obtained; finally, perform a weighted summation process by combining the obtained second oxygen content correction value and the second hydrogen content correction value with a preset gas content weight value to obtain the gas content in the battery compartment, wherein the corresponding weight value is obtained by querying through a preset battery health monitoring platform, and perform a threshold comparison to determine whether the state of the high-power UPS battery is normal or abnormal.

[0211] It is worth mentioning that according to the embodiments of the present invention, it further includes:

[0212] Obtain the number information of the preset conductive sensor and the measured value of the output current;

[0213] Compare the measured value of the output current with a preset output current reference threshold;

[0214] If the measured value of the output current is less than the preset output current reference threshold, it is determined that the high-power UPS battery does not leak liquid;

[0215] If the measured value of the output current is greater than or equal to the preset output current reference threshold, it is determined that the high-power UPS battery leaks liquid, and the position information of the leaking battery is determined according to the number information;

[0216] Send the position information of the leaking battery to the management terminal for display.

[0217] It should be noted that the electrolyte of lead-acid batteries is mainly dilute sulfuric acid, which is corrosive, has strong conductivity, and liquid leakage will cause the battery performance to decline. It should be monitored. In this application, the measured value of the current is obtained by presetting a conductive sensor and compared with the preset output current reference threshold. In this embodiment, the preset output current reference threshold is set to 1 μA. If the measured value of the output current obtained is 1.1 μA, which is greater than the preset output current reference threshold, it is determined that the high-power UPS battery leaks liquid, and the position information of the leaking battery is determined according to the number information and sent to the operation and maintenance personnel for display for timely handling.

[0218] It is worth mentioning that according to the embodiment of the present invention, it further includes:

[0219] Obtain the ultrasonic echo signal of the high-power UPS battery, and process it to obtain the echo time, spectral peak value, and amplitude increase amount;

[0220] Input the echo time, spectral peak value, and amplitude increase amount into a preset lithium dendrite prediction and recognition model for processing to obtain a lithium dendrite risk label, including low risk or high risk;

[0221] If the lithium dendrite risk label is high risk, an early warning response is output.

[0222] It should be noted that if the high-power UPS battery is a lithium-ion battery, attention needs to be paid to the formation of lithium dendrites at the negative electrode to prevent the risk of internal short circuit. In this application, an ultrasonic probe is used to emit sound waves to the battery surface, obtain ultrasonic echo signals, and extract the echo time, spectral peak value, and amplitude increase amount. Among them, the spectral peak value is obtained by those skilled in the art through analyzing the echo spectrum by fast Fourier transform. The obtained echo time, spectral peak value, and amplitude increase amount are input into a preset lithium dendrite prediction and recognition model for processing to obtain a lithium dendrite risk label including low risk or high risk. The preset lithium dendrite prediction and recognition model is obtained by training with the echo time, spectral peak value, and amplitude increase amount of a large number of historical samples and the corresponding lithium dendrite risk labels.

[0223] A method and system for monitoring the health status of a high-power UPS battery disclosed in the present invention evaluate sub-batteries by calculating performance quality evaluation indexes, operation quality evaluation indexes, and shape and quality evaluation indexes, and further calculate and compare the health degree comprehensive evaluation index with a threshold to evaluate the battery pack, thereby realizing intelligent monitoring of the health status of a high-power UPS battery based on multi-parameter fusion.

[0224] In 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 illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, 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 various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0225] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0226] In addition, each functional unit in the embodiments of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit; the above integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0227] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0228] Alternatively, if the above integrated units of the present invention are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

Claims

1. A method for monitoring the health status of high-power UPS batteries, characterized in that, Including the following steps: Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack, and process according to the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery; Obtain the operation parameter data of each sub-battery in the battery pack, and process to obtain the operation quality evaluation index of the sub-battery; Obtain the sub-battery image information of each sub-battery in the battery pack, extract data according to the sub-battery image information to obtain the morphological parameter data, and process to obtain the shape and quality evaluation index of the sub-battery; Process the performance quality evaluation index, operation quality evaluation index, and shape and quality evaluation index to obtain the comprehensive health evaluation index of the high-power UPS battery; Compare the comprehensive health evaluation index with the preset health level evaluation threshold, and determine the health level of the high-power UPS battery according to the belonging threshold range; Query the preset battery type and weight value mapping table according to the battery type characteristic data to obtain the performance quality evaluation weight value, operation quality evaluation weight value, and shape and quality evaluation weight value; Process according to the performance quality evaluation index, operation quality evaluation index, and shape and quality evaluation index in combination with the performance quality evaluation weight value, operation quality evaluation weight value, and shape and quality evaluation weight value to obtain the health quality evaluation index of the sub-battery; Query the preset operation duration and weight value mapping table according to the effective operation duration data to obtain the health quality evaluation weight value corresponding to the sub-battery; Perform weighted average processing according to the health quality evaluation index and the health quality evaluation weight value to obtain the comprehensive health evaluation index of the high-power UPS battery.

2. The method for monitoring the health state of a high-power UPS battery according to claim 1, wherein The obtaining the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack, and processing according to the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery includes: Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery in the battery pack, and the electrical parameter data includes the measured floating charge voltage and charge and discharge current; Process according to the charge and discharge current through the preset remaining capacity evaluation method to obtain the remaining capacity data; Process according to the measured floating charge voltage value, measured internal resistance value, and remaining capacity data in combination with the preset floating charge voltage nominal value, preset internal resistance parameter value, and preset initial capacity data to obtain the performance quality evaluation index of the sub-battery.

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

4. The method for monitoring the health state of a high-power UPS battery according to claim 3, characterized in that, The obtaining the sub-battery image information of each sub-battery in the battery pack, extracting data according to the sub-battery image information to obtain the morphological parameter data, and processing to obtain the shape and quality evaluation index of the sub-battery includes: Obtain the sub-battery image information of each sub-battery at a preset time, and perform preprocessing to obtain the optimized sub-battery image; Data extraction is performed based on the optimized image of the sub-battery to obtain morphological parameter data, including the coordinate values of preset feature points and the image pixel size; Processing is performed based on the coordinate values and the image pixel size in combination with preset coordinate reference values to obtain the form quality evaluation index of the sub-battery.

5. The method for monitoring the health state of a high-power UPS battery according to claim 4, wherein The threshold comparison of the comprehensive health index with a preset health level evaluation threshold, and determining the health level of the high-power UPS battery according to the threshold range to which it belongs, includes: Comparing the comprehensive health index with a preset comprehensive health evaluation reference index to obtain a relative comprehensive health value; Performing a threshold comparison of the relative comprehensive health value with a preset health level evaluation threshold; If the relative comprehensive health value is less than or equal to the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is sub-healthy; If the relative comprehensive health value is greater than the preset health level evaluation threshold, it is determined that the health level of the high-power UPS battery is healthy.

6. The method for monitoring the health state of a high-power UPS battery according to claim 5, wherein It further includes: Processing is performed based on the form quality evaluation index of the sub-battery to obtain the form change volatility of the sub-battery; Performing a threshold comparison of the form change volatility with a preset form change volatility allowance threshold; If it is less than or equal to the preset form change volatility allowance threshold, it is determined that the sub-battery has no abnormal form change; If it is greater than the preset form change volatility allowance threshold, it is determined that the sub-battery has an abnormal form change, and the number of abnormal form change values within a preset time period is counted; Performing a threshold comparison of the number of abnormal form change values with a preset abnormal form change cumulative threshold; If it is less than the preset abnormal form change cumulative threshold, no warning is output; If it is greater than or equal to the preset abnormal form change cumulative threshold, a warning response is output.

7. A high-power UPS battery health status monitoring system, characterized in that, It includes a memory and a processor. The memory includes a program for the high-power UPS battery health status monitoring method. When the high-power UPS battery health status monitoring method program is executed by the processor, the following steps are implemented: Obtain the battery type characteristic data, effective operation duration data, electrical parameter data, and measured internal resistance value of each sub-battery of the battery pack. Processing is performed based on the electrical parameter data and the measured internal resistance value to obtain the performance quality evaluation index of the sub-battery; Obtain the operation parameter data of each sub-battery of the battery pack and perform processing to obtain the operation quality evaluation index of the sub-battery; Obtain the sub-battery image information of each sub-battery of the battery pack. Data extraction is performed based on the sub-battery image information to obtain morphological parameter data, and processing is performed to obtain the form quality evaluation index of the sub-battery; Processing is performed on the performance quality evaluation index, operation quality evaluation index, and form quality evaluation index to obtain the comprehensive health index of the high-power UPS battery; Performing a threshold comparison of the comprehensive health index with a preset health level evaluation threshold, and determining the health level of the high-power UPS battery according to the threshold range to which it belongs; Query 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 form quality evaluation weight value; Processing is performed on the performance quality evaluation index, operation quality evaluation index, and form quality evaluation index in combination with the performance quality evaluation weight value, operation quality evaluation weight value, and form quality evaluation weight value to obtain the health quality evaluation index of the sub-battery; Query the preset mapping table of operating duration and weight value according to the effective operating duration data to obtain the health assessment weight value corresponding to the sub-battery; Perform weighted average processing according to the health assessment index and the health assessment weight value to obtain the comprehensive health assessment index of the high-power UPS battery.

8. The high-power UPS battery health status monitoring system according to claim 7, wherein, Obtain the battery type characteristic data, effective operating duration data, electrical parameter data and measured internal resistance value of each sub-battery of the battery pack, and process according to the electrical parameter data and the measured internal resistance value to obtain the performance assessment index of the sub-battery, including: Obtain the battery type characteristic data, effective operating duration data, electrical parameter data and measured internal resistance value of each sub-battery of the battery pack, and the electrical parameter data includes the measured floating charge voltage and charge-discharge current; Process according to the charge-discharge current through a preset remaining capacity evaluation method to obtain the remaining capacity data; Process according to the measured floating charge voltage value, measured internal resistance value and remaining capacity data in combination with the preset nominal floating charge voltage value, preset internal resistance parameter value and preset initial capacity data to obtain the performance assessment index of the sub-battery.

9. The high-power UPS battery health status monitoring system according to claim 8, characterized in that, Obtain the operating parameter data of each sub-battery of the battery pack and process it to obtain the operating assessment index of the sub-battery, including: Obtain the operating parameter data of each sub-battery of the battery pack, including the average temperature and average vibration frequency of the sub-battery within a preset time period; Process according to the average temperature and average vibration frequency in combination with the preset temperature reference value and preset vibration frequency reference value to obtain the operating assessment index of the sub-battery.

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