Performance analysis method and system based on lithium-sulfur battery

Abstract

According to the lithium-sulfur battery-based performance analysis method and system provided by the invention, the target battery state description information of the target area of the to-be-analyzed lithium-sulfur battery object in the current battery state data is determined, and the target lithium-sulfur battery is analyzed according to the target battery state description information and the battery state description information of the target lithium-sulfur battery performance description range; and determining a description information analysis result corresponding to the current battery state data, and taking the target area as a representative of the to-be-analyzed lithium-sulfur battery object compared with judgment of the description information analysis result by directly using complete battery state description information corresponding to the to-be-analyzed lithium-sulfur battery object. Whether the target area of the to-be-analyzed lithium-sulfur battery object exists in the target lithium-sulfur battery performance description range or not is judged more accurately, so that whether the to-be-analyzed lithium-sulfur battery object is in the target lithium-sulfur battery performance description range or not is indicated, and the accuracy and reliability of performance analysis of the lithium-sulfur battery are improved.

Description

Technical Field

[0001] The present application relates to the field of data evaluation technology, and in particular to a performance analysis method and system based on lithium-sulfur batteries. Background Art

[0002] Lithium-sulfur battery is a high-energy secondary battery that uses sulfur as the positive electrode and metallic lithium as the negative electrode. Elemental sulfur is abundant in the earth and has the characteristics of low price and environmental friendliness. Lithium-sulfur battery using sulfur as the positive electrode material has a high material theoretical specific capacity and battery theoretical specific energy, reaching 1675mAh / g and 2600Wh / kg respectively [1], which is much higher than the capacity of lithium cobalt oxide battery widely used in commercial applications (less than 150mAh / g).

[0003] At present, the analysis of the working condition and service life of lithium-sulfur batteries is a problem that is difficult to overcome, so a technical solution is urgently needed to solve the above problems. Summary of the invention

[0004] In order to improve the technical problems existing in the related technologies, the present application provides a performance analysis method and system based on lithium-sulfur batteries.

[0005] In a first aspect, a performance analysis method based on a lithium-sulfur battery is provided, comprising: obtaining current battery status data of a target lithium-sulfur battery object, wherein a target lithium-sulfur battery performance description range is set in the target lithium-sulfur battery object; performing battery status description processing on the current battery status data to obtain a battery status description processing result; determining target battery status description information of a target area of ​​a lithium-sulfur battery object to be analyzed in the current battery status data based on the battery status description processing result; determining a description information analysis result corresponding to the current battery status data based on the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery status description information of the lithium-sulfur battery performance description range of the target lithium-sulfur battery performance description range, wherein the description information analysis result is used to indicate whether there is a lithium-sulfur battery object to be analyzed in the target lithium-sulfur battery performance description range.

[0006] In this way, by determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data, and determining the description information analysis result corresponding to the current battery state data according to the target battery state description information and the battery state description information of the target lithium-sulfur battery performance description range, compared with directly using the complete battery state description information corresponding to the lithium-sulfur battery object to be analyzed to judge the description information analysis result, the target area is used as the representative of the lithium-sulfur battery object to be analyzed, and it is more accurately judged whether the target area of ​​the lithium-sulfur battery object to be analyzed exists in the target lithium-sulfur battery performance description range, so as to indicate whether the lithium-sulfur battery object to be analyzed is in the target lithium-sulfur battery performance description range, thereby improving the accuracy and reliability of the performance analysis of the lithium-sulfur battery.

[0007] In an independently implemented embodiment, the battery state description processing result includes a battery state description processing core for representing the battery state description information of the lithium-sulfur battery object to be analyzed; based on the battery state description processing result, determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data, including: for each lithium-sulfur battery object to be analyzed, based on the preset state matching between the target area and the lithium-sulfur battery object, and the battery state description information of the battery state description processing core, determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed.

[0008] In this way, through the state matching between the pre-set target area and the lithium-sulfur battery object where it is located, after determining the battery state description information of the battery state description processing core, the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed can be quickly determined, thereby facilitating the subsequent determination of whether there is a lithium-sulfur battery object to be analyzed in the target lithium-sulfur battery performance description range.

[0009] In an independently implemented embodiment, the target battery status description information of the target area is the battery status description information of the area verification core corresponding to the target area.

[0010] In this way, the target area is characterized by the verification core, and the battery state description information of the verification core is used as the target battery state description information of the target area, so as to be compared with the battery state description information of the lithium-sulfur battery performance description range to obtain the description information analysis result.

[0011] In an independently implemented embodiment, the target area includes a charge and discharge condition, and a preset state matching condition between the charge and discharge condition and the lithium-sulfur battery object includes: the charge and discharge condition is within a reference lithium-sulfur battery performance description range of the lithium-sulfur battery object.

[0012] In this way, by setting the charge and discharge conditions to be within the benchmark lithium-sulfur battery performance description range of the lithium-sulfur battery object, the charge and discharge conditions of the lithium-sulfur battery object can be analyzed on the basis of determining the lithium-sulfur battery object to be analyzed, so as to achieve more accurate data analysis.

[0013] In an independently implemented embodiment, the lithium-sulfur battery performance description range battery state description information of the target lithium-sulfur battery performance description range is the battery state description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery state data, and the target battery life cycle description range is a closed lithium-sulfur battery performance description range of any shape.

[0014] In this way, the target lithium-sulfur battery performance description range is represented as a closed lithium-sulfur battery performance description range of any shape associated therewith in the current battery state data, and the closed lithium-sulfur battery performance description range of any shape can be analyzed to improve flexibility.

[0015] In an independently implemented embodiment, the target battery life cycle description range is a battery life cycle description range corresponding to the target lithium-sulfur battery performance description range, or the target battery life cycle description range covers the target lithium-sulfur battery performance description range, and the target battery life cycle description range is greater than the target lithium-sulfur battery performance description range.

[0016] In this way, you can choose to accurately analyze the target lithium-sulfur battery performance description range, or you can choose to expand the analyzed lithium-sulfur battery performance description range based on the target lithium-sulfur battery performance description range, so as to achieve early prompting of the lithium-sulfur battery object to be analyzed entering the target lithium-sulfur battery performance description range.

[0017] In an independently implemented embodiment, based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range of the target lithium-sulfur battery performance description range, determining the description information analysis result corresponding to the current battery state data includes: determining abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range; and determining the description information analysis result based on the abnormal data.

[0018] In this way, the abnormal data between the target area and the target lithium-sulfur battery performance description range can be used to effectively determine whether the target area is within the target lithium-sulfur battery performance description range, so as to accurately determine whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range. Compared with the prior art, the present application has the following advantages: the target lithium-sulfur battery performance description range of the present application is far beyond the scope of the prior art, and the present application can start from multiple dimensions, and can more comprehensively determine the performance of the points, and the analysis standard is more authoritative.

[0019] In an independently implemented embodiment, the target battery state description information of the target area is the battery state description information of the regional verification core corresponding to the target area; the lithium-sulfur battery performance description range battery state description information is the battery state description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery state data; based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range, determining abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range, including: based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range, determining the abnormal description range between the regional verification core and the target battery life cycle description range; obtaining the data volume of the abnormal description range, and / or the ratio of the data volume of the abnormal description range to the regional verification core.

[0020] In this way, by determining the amount of abnormal data between the target area and the target battery life cycle description range associated with the target lithium-sulfur battery performance description range and / or the proportion of the abnormal data amount to the target area, it is possible to accurately determine whether the target area is within the target lithium-sulfur battery performance description range.

[0021] In an independent implementation example, the number of the target lithium-sulfur battery performance description ranges is one or more.

[0022] In an independently implemented embodiment, the current battery status data includes current battery status data collected by several battery data acquisition terminals for a target lithium-sulfur battery object respectively, and different battery data acquisition terminals perform multi-dimensional collection; the method also includes: based on the descriptive information analysis results corresponding to the current battery status data in each dimension, determining the descriptive information analysis results corresponding to the target lithium-sulfur battery performance description range.

[0023] In this way, by determining the description information analysis results corresponding to the target lithium-sulfur battery performance description range based on the description information analysis results of the current battery status data in several dimensions, the accuracy of the description information analysis results finally obtained can be improved. In the prior art, the description information of the current battery status data can only obtain the main information, such as some potential information cannot be obtained, such as the battery's electric energy conversion efficiency cannot be detected. Therefore, the analysis scope of the present application is wider and can perform multi-dimensional analysis.

[0024] In an independently implemented embodiment, the method further includes: in response to the description information analysis result indicating that there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range, marking the lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range in the current battery status data, and outputting battery abnormality prompt data.

[0025] In this way, by marking the lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range and outputting battery abnormal prompt data, it can be prompted that there is currently a lithium-sulfur battery object to be analyzed that enters the target lithium-sulfur battery performance description range. With respect to the scope of the prior art, the scope of the present invention is wider than the prior art. In the prior art, there are climate environment tests: high and low temperature shock, temperature and humidity cycle; electrical performance tests: cycle life test, charge and discharge capacity, high and low temperature capacity, power and internal resistance; mechanical performance tests: mechanical shock, vibration test, simulated collision; safety detection items: short circuit, drop, heating, acupuncture, overcharge, over discharge, seawater immersion, temperature cycle, external fire, ejection, thermal runaway, crushing and flipping. The present application can also be inspected during the normal operation of the battery, which can improve the detection efficiency of the battery.

[0026] In a second aspect, a performance analysis system based on a lithium-sulfur battery is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0027] A performance analysis method and system based on a lithium-sulfur battery provided in an embodiment of the present application determines target battery state description information of a target area of ​​a lithium-sulfur battery object to be analyzed in current battery state data, and determines a description information analysis result corresponding to the current battery state data according to the target battery state description information and the battery state description information of a target lithium-sulfur battery performance description range. Compared with directly using the complete battery state description information corresponding to the lithium-sulfur battery object to be analyzed to judge the description information analysis result, the target area is used as a representative of the lithium-sulfur battery object to be analyzed, and it is more accurately judged whether the target area of ​​the lithium-sulfur battery object to be analyzed exists in the target lithium-sulfur battery performance description range, so as to indicate whether the lithium-sulfur battery object to be analyzed is in the target lithium-sulfur battery performance description range, thereby improving the accuracy and reliability of the performance analysis of the lithium-sulfur battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments 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.

[0029] Figure 1 A flow chart of a performance analysis method based on a lithium-sulfur battery provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0031] See also Figure 1 , shows a performance analysis method based on lithium-sulfur batteries, which may include the technical solutions described in the following steps S201-S204.

[0032] S201: Acquire current battery status data of a target lithium-sulfur battery object.

[0033] For example, the current battery status data can be understood as the battery charging information and discharge information, indicating the current lithium-sulfur battery usage efficiency, battery operating time and other information.

[0034] S202: Perform battery status description processing on current battery status data to obtain a battery status description processing result.

[0035] Exemplarily, the battery status description process can be understood as extracting abnormal features in the battery status, such as extracted battery usage features, wherein the usage features include: usage time and number of uses, etc.

[0036] S203: Based on the battery status description processing result, determine the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery status data.

[0037] Exemplarily, the region can be understood as the analysis range data of the battery. In the present application, the range data for analyzing the battery health, battery life and other data is required.

[0038] S204: Determine a description information analysis result corresponding to the current battery status data based on the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the lithium-sulfur battery performance description range battery status description information of the target lithium-sulfur battery performance description range.

[0039] Exemplarily, the descriptive information analysis result is used to represent the performance analysis result of the lithium-sulfur battery, which includes: battery usage status, battery life cycle, etc.

[0040] The description information analysis result is used to indicate whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range.

[0041] The following is a detailed description of the above steps.

[0042] Among them, the current battery status data can be collected by the battery data collection end device for the target lithium-sulfur battery object. The target lithium-sulfur battery object is set with a target lithium-sulfur battery performance description range. The target lithium-sulfur battery performance description range is used as the lithium-sulfur battery performance description range that needs to be judged. The current battery status data covers the battery life cycle description range corresponding to the target lithium-sulfur battery performance description range.

[0043] The target lithium-sulfur battery performance description range may be at least one pre-set lithium-sulfur battery performance description range. In some embodiments, the target lithium-sulfur battery performance description range is one. In some embodiments, the target lithium-sulfur battery performance description range may be several.

[0044] Among them, the current battery status data can be a video screen obtained by a battery data acquisition end device collecting data from a target lithium-sulfur battery object. In some embodiments, the current battery status data can include current battery status data collected from the target lithium-sulfur battery object by several battery data acquisition ends respectively, and different battery data acquisition ends perform multi-dimensional collection.

[0045] In a specific application scenario, if the number of description information analysis results corresponding to the current battery status data under several dimensions indicating that there are lithium-sulfur battery objects to be analyzed within the target lithium-sulfur battery performance description range reaches a preset threshold, then it is considered that the description information analysis results corresponding to the target lithium-sulfur battery performance description range indicate that there are lithium-sulfur battery objects to be analyzed. The preset threshold may be one or other values, which may be set specifically according to application needs.

[0046] In this way, by determining the descriptive information analysis results corresponding to the target lithium-sulfur battery performance description range based on the descriptive information analysis results of the current battery status data in several dimensions, the accuracy of the descriptive information analysis results finally obtained can be improved.

[0047] The battery status description processing result may include a battery status description processing core for representing the battery status description information of the lithium-sulfur battery object to be analyzed. In some cases, there may be no lithium-sulfur battery object to be analyzed in the current battery status data. In some cases, there may be one or more lithium-sulfur battery objects to be analyzed in the current battery status data, and each lithium-sulfur battery object corresponds to a battery status description processing core.

[0048] In an independently implemented embodiment, when determining the battery status description processing result corresponding to the current battery status data, the current battery status data can be input into a pre-trained first target neural network to obtain a battery status description processing core corresponding to the lithium-sulfur battery object to be analyzed output by the first target neural network.

[0049] Among them, the network type of the first target neural network may include neural networks in the field of deep learning, such as convolutional neural networks, etc.

[0050] In this way, by using a neural network to determine the processing of the current battery status data, the battery status description information of the lithium-sulfur battery object to be analyzed in the current battery status data can be accurately determined, thereby facilitating the subsequent determination of whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range.

[0051] In some embodiments, after obtaining the verification result of the current battery state data on the lithium-sulfur battery object, for each lithium-sulfur battery object to be analyzed that has been verified, the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed can be determined based on the preset state matching between the target area and the lithium-sulfur battery object where it is located, and the battery state description processing core. Wherein, the target area belongs to the aforementioned lithium-sulfur battery object, and the target area is associated with whether it enters the target lithium-sulfur battery performance description range, so the target area can represent the lithium-sulfur battery object to be analyzed for judgment.

[0052] In some embodiments, the target battery status description information of the target area is the battery status description information of the area check core corresponding to the target area.

[0053] In an independently implemented embodiment, the target area may include a charge and discharge condition. When determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data based on the battery state description processing result, the target battery state description information of the charge and discharge condition of the lithium-sulfur battery object to be analyzed may be determined based on a preset state matching condition between a preset foot area position and a position of the lithium-sulfur battery object to be analyzed, and the battery state description information of the battery state description processing core.

[0054] In some embodiments, the target area may be one or more, and the target battery state description information of each target area may be obtained respectively. When performing analysis, it may be determined whether the lithium-sulfur battery object to be analyzed is within the target lithium-sulfur battery performance description range based on whether each target area of ​​the lithium-sulfur battery object to be analyzed is within the target lithium-sulfur battery performance description range.

[0055] In this way, through the relative state matching between the preset foot area position and the position of the lithium-sulfur battery object to be analyzed, after determining the battery state description information of the battery state description processing core, the target battery state description information of the charging and discharging condition of the lithium-sulfur battery object to be analyzed can be quickly determined, thereby facilitating the subsequent determination of whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range.

[0056] In another independent implementation example, when determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data, the following steps A1 to A2 may also be used: A1: Based on the battery status description processing result, determine the lithium-sulfur battery performance description range data of the lithium-sulfur battery object in the current battery status data.

[0057] A2: Input the lithium-sulfur battery performance description range data of the lithium-sulfur battery object into the pre-trained second target neural network, and obtain the charge and discharge condition verification core of the lithium-sulfur battery object to be analyzed output by the second target neural network; the battery state description information of the charge and discharge condition verification core is the target battery state description information of the charge and discharge condition of the lithium-sulfur battery object to be analyzed.

[0058] Here, the network type of the second target neural network may include neural networks in the field of deep learning, such as convolutional neural networks, etc.

[0059] Specifically, the second target neural network can analyze the shoes of the lithium-sulfur battery object to be analyzed, and the lithium-sulfur battery performance description range where the shoes are located can be regarded as the lithium-sulfur battery performance description range where the charging and discharging conditions are located, thereby obtaining a charge and discharge condition verification core of the lithium-sulfur battery object to be analyzed.

[0060] By analyzing the charge and discharge conditions of the lithium-sulfur battery object to be analyzed through the pre-trained second target neural network, the target battery state description information of the charge and discharge conditions of the lithium-sulfur battery object to be analyzed in the current battery state data can be accurately determined, thereby facilitating the subsequent determination of whether the lithium-sulfur battery object to be analyzed exists within the target lithium-sulfur battery performance description range.

[0061] In an independently implemented embodiment, after obtaining the current battery status data within the performance description range of the target lithium-sulfur battery, the current battery status data covering the lithium-sulfur battery object to be analyzed can also be input into a pre-trained first target neural network to obtain the type information of the to-be-selected check core and the lithium-sulfur battery object to be analyzed corresponding to the lithium-sulfur battery object to be analyzed output by the first target neural network, and the lithium-sulfur battery object to be analyzed is selected according to the type information of the lithium-sulfur battery object to be selected.

[0062] In practical applications, since the lithium-sulfur battery object may enter the current battery status data using different travel modes, which may cause abnormal situations such as the target area being blocked, before determining whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range, the usage information corresponding to the lithium-sulfur battery object to be analyzed can also be determined, so that subsequent corresponding processing can be performed based on the usage information of the lithium-sulfur battery object to be analyzed.

[0063] In an independently implemented embodiment, when determining the battery status description processing result, the battery status description processing core and usage information corresponding to the lithium-sulfur battery object to be analyzed in the current battery status data can be determined, and the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery status data can be determined based on the battery status description processing core and the usage information.

[0064] In an independently implemented embodiment, the battery status description processing result may also include the identity information of the lithium-sulfur battery object to be analyzed. Before determining the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery status data, it may also be determined whether the lithium-sulfur battery object to be analyzed is a prohibited-entry lithium-sulfur battery object within the target lithium-sulfur battery performance description range based on the identity information of the lithium-sulfur battery object to be analyzed, and when the lithium-sulfur battery object to be analyzed is the prohibited-entry lithium-sulfur battery object corresponding to the target lithium-sulfur battery performance description range, the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery status data is determined.

[0065] It is understandable that the current battery status data covers the battery life cycle description range corresponding to the target lithium-sulfur battery performance description range. In some embodiments, the lithium-sulfur battery performance description range battery status description information of the target lithium-sulfur battery performance description range may be the battery status description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery status data.

[0066] In some embodiments, the target battery life cycle description range may be a battery life cycle description range corresponding to the target lithium-sulfur battery performance description range. In some embodiments, the target battery life cycle description range may cover the target lithium-sulfur battery performance description range and the target battery life cycle description range is greater than the target lithium-sulfur battery performance description range.

[0067] The battery state description information of the lithium-sulfur battery performance description range of the target lithium-sulfur battery performance description range may be the battery state description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery state data.

[0068] In an independently implemented embodiment, when determining whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range, the following steps B1 to B2 may be performed: B1: Based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range of the target lithium-sulfur battery performance description range, determine the abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range.

[0069] Here, the target battery status description information of the target area includes the battery status description information of the area check core corresponding to the target area.

[0070] Exemplarily, taking the target area as the charging and discharging condition as an example, the target battery status description information of the target area is the battery status description information of the charging and discharging condition verification core.

[0071] In an independently implemented embodiment, when determining the abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range, the abnormal description range between the regional verification core and the target battery life cycle description range can be determined based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the target lithium-sulfur battery performance description range, the data volume of the abnormal description range can be determined, and / or the ratio of the data volume of the abnormal description range to the regional verification core can be determined.

[0072] B2: Based on the abnormal data, determine whether there is a lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range.

[0073] Here, for any lithium-sulfur battery object to be analyzed, when determining whether the lithium-sulfur battery object to be analyzed exists within the target lithium-sulfur battery performance description range, it can be determined whether the lithium-sulfur battery object to be analyzed exists within the target lithium-sulfur battery performance description range according to the preset abnormal data selection requirements and the abnormal data corresponding to the regional check core of the lithium-sulfur battery object to be analyzed.

[0074] Specifically, if the abnormal data corresponding to the regional verification core of the lithium-sulfur battery object to be analyzed meets the preset abnormal data selection requirements, it can be determined that the lithium-sulfur battery object to be analyzed exists in the target lithium-sulfur battery performance description range; if the abnormal data corresponding to the regional verification core of the lithium-sulfur battery object to be analyzed meets the preset abnormal data selection requirements, it can be determined that the lithium-sulfur battery object to be analyzed does not exist in the target lithium-sulfur battery performance description range.

[0075] On the basis of the above, a performance analysis system based on a lithium-sulfur battery is shown, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0076] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0077] In summary, based on the above scheme, by determining the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data, and according to the target battery state description information and the battery state description information of the target lithium-sulfur battery performance description range, the description information analysis result corresponding to the current battery state data is determined. Compared with directly using the complete battery state description information corresponding to the lithium-sulfur battery object to be analyzed to judge the description information analysis result, the target area is used as the representative of the lithium-sulfur battery object to be analyzed, and it is more accurately judged whether the target area of ​​the lithium-sulfur battery object to be analyzed exists in the target lithium-sulfur battery performance description range, so as to indicate whether the lithium-sulfur battery object to be analyzed is in the target lithium-sulfur battery performance description range, thereby improving the accuracy and reliability of the performance analysis of the lithium-sulfur battery.

[0078] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0079] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

Claims

1. A performance analysis method based on lithium-sulfur batteries, characterized in that: include: Acquire current battery status data of a target lithium-sulfur battery object, wherein the target lithium-sulfur battery object is provided with a target lithium-sulfur battery performance description range; Performing battery status description processing on the current battery status data to obtain a battery status description processing result; Based on the battery status description processing result, determining target battery status description information of a target area of ​​a lithium-sulfur battery object to be analyzed in the current battery status data; Based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the lithium-sulfur battery performance description range battery state description information of the target lithium-sulfur battery performance description range, a description information analysis result corresponding to the current battery state data is determined, and the description information analysis result is used to indicate whether the lithium-sulfur battery object to be analyzed exists in the target lithium-sulfur battery performance description range.

2. The method according to claim 1, characterized in that The battery state description processing result includes battery state description processing cores of several lithium-sulfur battery objects to be analyzed in the current battery state data; and determining target battery state description information of a target area of ​​the lithium-sulfur battery object to be analyzed in the current battery state data based on the battery state description processing result includes: For each of the lithium-sulfur battery objects to be analyzed, based on a preset state matching situation between the target area and the lithium-sulfur battery object, and the battery state description processing core, target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed is determined.

3. The method according to claim 2, characterized in that The target battery status description information of the target area is the battery status description information of the regional verification core corresponding to the target area; And / or, the target area includes a charge and discharge condition, and a preset state matching condition between the charge and discharge condition and the lithium-sulfur battery object includes: the charge and discharge condition is within a reference lithium-sulfur battery performance description range of the lithium-sulfur battery object.

4. The method according to claim 3, characterized in that The lithium-sulfur battery performance description range battery state description information of the target lithium-sulfur battery performance description range is the battery state description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery state data.

5. The method according to claim 4, characterized in that The target battery life cycle description range is the battery life cycle description range corresponding to the target lithium-sulfur battery performance description range, or the target battery life cycle description range covers the target lithium-sulfur battery performance description range, and the target battery life cycle description range is greater than the target lithium-sulfur battery performance description range.

6. The method according to claim 5, characterized in that The step of determining the description information analysis result corresponding to the current battery status data based on the target battery status description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the lithium-sulfur battery performance description range battery status description information of the target lithium-sulfur battery performance description range comprises: Based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range, determining abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range; Based on the abnormal data, the descriptive information analysis result is determined.

7. The method according to claim 6, characterized in that The target battery state description information of the target area is the battery state description information of the regional check core corresponding to the target area; the battery state description information of the lithium-sulfur battery performance description range is the battery state description information of the target battery life cycle description range associated with the target lithium-sulfur battery performance description range in the current battery state data; the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range are used to determine the abnormal data corresponding to the target area of ​​the lithium-sulfur battery object to be analyzed and the target lithium-sulfur battery performance description range, including: Based on the target battery state description information of the target area of ​​the lithium-sulfur battery object to be analyzed and the battery state description information of the lithium-sulfur battery performance description range, determining an abnormal description range between the area verification core and the target battery life cycle description range; The amount of data in the exception description range and / or the ratio of the amount of data in the exception description range to the amount of data in the regional check core is obtained.

8. The method according to claim 7, characterized in that The number of the target lithium-sulfur battery performance description ranges is one or more; and / or, the current battery status data includes current battery status data collected by multiple battery data acquisition terminals for the target lithium-sulfur battery object, and different battery data acquisition terminals perform multi-dimensional collection; the method also includes: Based on the descriptive information analysis results corresponding to the current battery status data in each dimension, the descriptive information analysis results corresponding to the target lithium-sulfur battery performance description range are determined.

9. The method according to claim 8, characterized in that The method further comprises: In response to the description information analysis result indicating that the lithium-sulfur battery object to be analyzed exists within the target lithium-sulfur battery performance description range, the lithium-sulfur battery object to be analyzed within the target lithium-sulfur battery performance description range is marked in the current battery status data, and battery abnormality prompt data is output.

10. A performance analysis system based on lithium-sulfur batteries, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 9.

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