Battery health degree detection method and system

Abstract

The invention discloses a battery health degree detection method, which comprises the following steps: obtaining structure information of a battery to be detected, and obtaining battery groups; a plurality of detection groups are arranged on the battery groups, overlapping areas exist between the adjacent groups, and group overlapping areas are obtained; acquiring detected battery parameters of the detection group, and comparing the detected battery parameters with preset detected battery parameters; obtaining an overlapping region in the non-health detection group, and obtaining a detection group forming a to-be-confirmed non-health region; obtaining battery parameters of the detection group forming the to-be-confirmed non-health area, and obtaining adjacent group parameters; comparing the adjacent grouping parameters with preset adjacent grouping parameters to obtain a battery grouping non-healthy area; and obtaining the health degree of the battery based on the area of the non-health region of the battery group. The problem of insufficient health degree detection precision and efficiency in the prior art is solved, the detection precision and efficiency are fully improved, and the universality of the technical scheme in the aspect of battery health degree detection is improved.

Description

Technical Field

[0001] This application belongs to the field of battery detection. Specifically, it relates to a method and system for detecting battery health. Background Art

[0002] Battery technology plays an important role in many current fields. However, due to its characteristics, the health of the battery will continuously decline after multiple charge and discharge cycles and long-term use. To avoid the decline in power supply efficiency caused by insufficient battery health and even potential safety risks, it is necessary to effectively detect the battery health. Currently, in the detection of battery health, the developed method is a way to comprehensively and separately detect the battery cells. The detection objects used include the detection methods of cell morphology, output current, current, and voltage. This method will result in low detection efficiency, and each detection method can only detect a single data, making it difficult to construct a general battery health detection method and resulting in insufficient detection accuracy of battery health.

[0003] Therefore, how to establish a method for quickly detecting battery health and improving detection accuracy based on multiple detection parameters is a technical problem that needs to be urgently solved by those skilled in the art. Summary of the Invention

[0004] In order to establish a method for quickly detecting battery health and improving detection accuracy based on multiple detection parameters in the detection of battery health, so as to solve the problems of low detection efficiency and insufficient detection accuracy of battery health in the prior art, the present application discloses the following technical solutions, including: First aspect: A method for detecting battery health, the detection method includes: Obtain the structure information of the battery to be detected to obtain battery groups; Set multiple detection groups on the battery groups, with overlapping areas between adjacent groups, to obtain grouped overlapping areas; Obtain the detected battery parameters of the detection groups, and compare the detected battery parameters with the preset detected battery parameters to obtain non-healthy detection groups; Obtain the overlapping areas in the non-healthy detection groups to obtain the areas to be confirmed as non-healthy, and obtain the detection groups forming the areas to be confirmed as non-healthy; Obtain the battery parameters of the detection groups forming the areas to be confirmed as non-healthy to obtain adjacent group parameters; Compare the adjacent group parameters with the preset adjacent group parameters to obtain the non-healthy areas of the battery groups; Obtain the battery health based on the areas of all the non-healthy areas of the battery groups.

[0005] Optionally, obtaining the structural information of the battery to be detected and obtaining the battery groups includes: Based on the edge line length and structural partition in the structural information of the battery to be detected, obtaining the structural groups of the battery to be detected; Setting unique identifiers for the structural groups of all the batteries to be detected respectively, and establishing the corresponding relationship between the structural groups of the batteries to be detected and the unique identifiers; Setting the structural groups of the batteries to be detected and the corresponding unique identifiers into the same data group to obtain the battery groups.

[0006] Optionally, setting multiple detection groups on the battery groups, with overlapping regions between adjacent groups, to obtain the grouped overlapping regions, includes: Setting detection groups for the battery groups, where the regional shape of the detection groups is the same as that of the battery groups; Obtaining the positions of the detection groups, and setting overlapping regions between adjacent detection groups to obtain the grouped overlapping regions; The grouped overlapping regions completely cover the battery groups, and there are intersecting regions between the grouped overlapping regions; Further includes: Obtaining all the detection groups forming the overlapping regions, and setting second information identifiers for all the detection groups based on the overlapping regions; Establishing the corresponding relationship between the overlapping regions, the second information identifiers, and the detection groups corresponding to the second information identifiers, and obtaining the constituent groups of the grouped overlapping regions; Establishing the corresponding relationship between the constituent groups of the grouped overlapping regions and the unique identifiers, so as to obtain the constituent groups of the grouped overlapping regions included in the unique identifiers.

[0007] Optionally, obtaining the parameters of the batteries to be detected in the detection groups, and comparing the parameters of the batteries to be detected with the preset parameters of the batteries to be detected to obtain non - healthy detection groups, includes: In each of the detection groups, setting the types of parameters of the batteries to be detected to determine the categories of detection parameters; Based on the categories of detection parameters, obtaining the data of the categories of detection parameters corresponding to the detection groups to obtain the parameters of the batteries to be detected; Comparing the parameters of the batteries to be detected with the preset parameters of the batteries to be detected. If the parameters of the batteries to be detected are not higher than the preset parameters of the grouped batteries to be detected, the detection group is a non - healthy detection group.

[0008] Optionally, obtaining the overlapping regions in the non - healthy detection groups to obtain the regions to be confirmed as non - healthy, and obtaining the detection groups forming the regions to be confirmed as non - healthy, includes: Obtain all overlapping regions in the non - healthy detection group to obtain the region to be confirmed as non - healthy, and obtain the second information identifier of the region to be confirmed as non - healthy; Based on the second information identifier of the region to be confirmed as non - healthy, obtain the detection group corresponding to the region to be confirmed as non - healthy.

[0009] Optionally, obtaining the battery parameters of the detection group forming the region to be confirmed as non - healthy to obtain adjacent group parameters includes: Obtain the type of battery parameters to be detected in the process of determining the non - healthy detection group to be confirmed; Based on the type of battery parameters to be detected, obtain other types of battery parameters associated with the type of the battery parameters to be detected; Based on the other types of battery parameters, obtain the battery parameters of the adjacent groups of the non - healthy detection group to obtain adjacent group parameters.

[0010] Optionally, comparing the adjacent group parameters with the preset adjacent group parameters to obtain the non - healthy region of the battery group includes: Based on the categories of all the adjacent group parameters, set the corresponding preset adjacent group parameters; Obtain all the adjacent group parameters and compare all the adjacent group parameters with the corresponding preset adjacent group parameters; If all the adjacent group parameters are not higher than the corresponding preset adjacent group parameters, the region to be confirmed as non - healthy is the non - healthy region of the battery group.

[0011] Optionally, it further includes: Obtain the number and position of the regions to be confirmed as non - healthy in all the adjacent groups; When the number of the regions to be confirmed as non - healthy is not less than 2, obtain the positions of the regions to be confirmed as non - healthy in the adjacent groups to obtain the positions of the regions to be confirmed as non - healthy; Obtain the overlapping positions of the positions of the regions to be confirmed as non - healthy and the non - healthy region of the battery group, and obtain the positions of the non - healthy region of the battery group in the adjacent groups; Based on the positions of the regions to be confirmed as non - healthy and the positions of the non - healthy region of the battery group in the adjacent groups, obtain other regions to be confirmed as non - healthy in the adjacent groups to obtain the secondary regions to be confirmed as non - healthy; Based on the secondary regions to be confirmed as non - healthy, obtain the secondary non - healthy region of the battery group.

[0012] Optionally, obtaining the battery health based on the areas of all the non - healthy regions of the battery group includes: Based on the edge line of the unhealthy area of the battery group, obtain the side length of the unhealthy area of the battery group; Based on the side length of the unhealthy area of the battery group, obtain the area of the unhealthy area of the battery group; Obtain the total sum of the areas of all the unhealthy areas of the battery groups to obtain the total area of the unhealthy areas of the battery groups; Obtain the total area of the unhealthy areas of the battery groups of all the battery groups to obtain the total area of the unhealthy areas of the battery; Obtain the ratio of the total area of the unhealthy areas of the battery and the area of the battery to be detected, and the ratio is the battery health degree.

[0013] Second aspect: A battery health degree detection system for performing the battery health degree detection method as described in the first aspect, which is characterized by including: a battery group division module, a detection group division module, a battery group unhealthy area determination module, an area calculation module, a battery health degree calculation module, and an output module; The battery group division module is used to obtain the edge line and structure of the battery to be detected, set a structure group and a unique identifier for the battery to be detected, and obtain the battery groups; The detection group division module is connected to the battery group division module and is used to set detection groups for the battery groups and obtain the constituent groups of the grouped overlapping areas; The battery group unhealthy area determination module is connected to the detection group division module and is used to obtain the unhealthy areas of the battery groups of the battery to be detected; The area calculation module is connected to the battery group unhealthy area determination module and is used to obtain the areas of all the unhealthy areas of the battery groups and the area of the battery to be detected; The battery health degree calculation module is connected to the area calculation module and is used to obtain the ratio of the areas of all the unhealthy areas of the battery groups and the area of the battery to be detected; The output module is connected to the battery health degree calculation module and is used to output the battery health degree value.

[0014] This application includes the following beneficial effects: 1. The detection efficiency is improved. In this application, the battery to be detected is divided into battery groups, and detection groups are further set for the battery groups. There are also overlapping areas between adjacent groups. Then, by determining whether the overlapping areas are the unhealthy areas of the battery groups and calculating the ratio of the total area of the unhealthy areas of the battery groups to the total area of the battery, a regionalized health degree detection scheme for battery health degree detection is realized, and the detection efficiency of battery health degree is improved.

[0015] 2. The detection accuracy is improved. In the detection of the battery health status in this application, it belongs to a general acquisition method based on all detection data and a general health status analysis method based on parameters. It can determine the parameters of the battery to be detected according to the detection requirements, and at the same time, it can also detect other parameters that can be changed due to the parameters of the battery to be detected. Therefore, based on the application of various detection data, the detection accuracy of the battery health status is improved.

[0016] 3. The detection range is broadened. In the technical solution of this application, the association between all parameters during the battery health status detection process can also be established. Thus, other types of data can be obtained based on the association of these parameters, and based on this data, the detection parameter range can be broadened, so as to adapt to various detection requirements and scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments of this application or the prior art. Obviously, the following descriptions are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. The drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. They are used together with the following specific embodiments to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the drawings: Figure 1 It is a flowchart of a method for detecting battery health status provided by an embodiment of this application; Figure 2 It is a schematic diagram of the division of detection groups for a method for detecting battery health status provided by an embodiment of this application; Figure 3 It is a curve of the change of the parameters of the battery to be detected for a method for detecting battery health status provided by an embodiment of this application; Figure 4 It is a schematic diagram of a system for detecting battery health status provided by an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described embodiments are only some of the embodiments of this application, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of this application without creative efforts belong to the scope of protection of this application. In addition, in the embodiments of this application, "first", "second", etc. are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0019] In current battery health detection, the detection of battery health is carried out by obtaining a certain battery parameter among them, and then analyzing the health based on this parameter. At the same time, the detection method adopted is to obtain the output parameters of each single cell one by one, and then obtain the number of single cells with insufficient health, and obtain the battery health based on this index. This method obviously has defects. On the one hand, the method of analyzing each parameter of a single cell one by one will lead to too low efficiency of health detection, and it is difficult to obtain the detection result in a short time. Even in some detection processes, destructive processing is required to obtain the state of the single cell. On the other hand, only one parameter of the battery can be obtained, and then the battery health is detected based on this parameter, which makes it difficult to improve the accuracy of battery health detection by obtaining multiple battery parameters.

[0020] To solve the problems existing in the prior art, the present application discloses the following technical solutions. As Figure 1 shown, it is a flowchart of a battery health detection method provided by an embodiment of the present application. Specifically: S110. Obtain the structure information of the battery to be detected to obtain battery groups.

[0021] S120. Set a plurality of detection groups on the battery groups, and there is an overlapping area between adjacent groups to obtain a grouped overlapping area.

[0022] S130. Obtain the battery parameters to be detected of the detection groups, and compare the battery parameters to be detected with the preset battery parameters to be detected to obtain non - healthy detection groups.

[0023] S140. Obtain the overlapping area in the non - healthy detection groups to obtain an area to be confirmed as non - healthy, and obtain the detection groups forming the area to be confirmed as non - healthy.

[0024] S150. Obtain the battery parameters of the detection groups forming the area to be confirmed as non - healthy to obtain adjacent group parameters.

[0025] S160. Compare the adjacent group parameters with the preset adjacent group parameters to obtain the non - healthy area of the battery groups.

[0026] S170. Obtain the battery health based on the areas of all the non - healthy areas of the battery groups.

[0027] The purpose of all the above steps is to divide the battery groups during the battery health detection, then divide the detection groups for the battery groups, determine the overlapping areas between adjacent groups, and determine whether the overlapping areas indicate battery health problems. If any problems are found, determine the area of the overlapping areas and obtain the total area of the unhealthy areas of the battery groups in all the battery groups on the battery, thus realizing the sub-region detection for battery health detection instead of detecting each single cell one by one, thereby fully improving the efficiency of health detection. Next, all the above steps will be described in detail. Specifically: As described in step S110, the purpose of this step is to group the batteries to be detected, thereby dividing the entire battery in the detection space to improve the detection efficiency. Specifically: S111. Obtain the structural grouping of the battery to be detected based on the edge line length and structural partition in the structural information of the battery to be detected.

[0028] The purpose of this step is that a large number of cells are arranged in the battery, and these cells will be arranged in regions according to the overall structure of the battery pack. At the same time, the overall length and width of the battery are known quantities. Therefore, in the process, by using the structural information and edge line length of the battery to be detected, the number of groups for the battery to be detected can be reduced, which is convenient for improving the efficiency of health detection.

[0029] Among them, obtain the edge line of the battery and get the length and width of the edge line.

[0030] Among them, obtain the structural partition of the battery to determine the different partitions of the battery to be detected.

[0031] In some embodiments, the edge line length and structural partition in the thickness direction of the battery are also obtained to realize the decomposition of the structural partition in the thickness direction of the battery.

[0032] Among them, if the battery to be detected has obvious structural partitions, the edge line information of the battery to be detected may not be analyzed, and the battery grouping process can be directly carried out based on the structural partitions.

[0033] Among them, for the obtained battery structural information and edge line information, divide the entire battery to be detected into regions, and the obtained region division result is the structural grouping of the battery to be detected.

[0034] S112. Set unique identifiers for the structural groupings of all the batteries to be detected respectively, and establish the corresponding relationship between the structural groupings of the batteries to be detected and the unique identifiers.

[0035] The purpose of this step is to, after dividing the battery within a spatial range, set a unique identifier for each structure group in it, so that the corresponding structure group can be obtained based on the obtained unique identifier, and an association can be established for the detection groups contained in the subsequent structure groups.

[0036] Among them, all the obtained structure groups are set with a unique identifier, and all the identifiers are different from each other.

[0037] In some embodiments, if the structural information in the thickness direction and the bottom surface direction of the battery is obtained simultaneously, then based on the division parameters in the bottom surface direction and the thickness direction, a cuboid-shaped structure group is obtained, and a unique identifier is set for this structure group, and the unique identifiers between such structure groups are different from each other.

[0038] S113. Set the structure group of the battery to be detected and the corresponding unique identifier into the same data group to obtain a battery group.

[0039] The purpose of this step is to, after establishing the corresponding relationship for the obtained unique identifier and the structure group, realize the effective grouping of the battery, so that in the subsequent health analysis, the unique identifier can be used to explain the battery group information, and in the calculation of the total area, the omission or repeated calculation of the structure group can be avoided.

[0040] Among them, for the set unique identifier and the corresponding structure group, these two types of data are labeled and explained and recorded.

[0041] Among them, for the set unique identifier and the structure group, both are set based on the data group method to obtain a battery group data group for the battery to be detected.

[0042] In some embodiments, in the established groups, the unique identifier is set in the required manner, and the data group is used to record the information of the structure group, such as: the size, position, structure description, etc. of the structure group, so as to realize the explanation of the structure group information.

[0043] As described in step S120, the purpose of this step is to further disassemble the obtained detection group. For each disassembled area, multiple detection groups are set in it, and it is necessary to ensure that there are overlapping areas between the detection groups. Only after obtaining the overlapping areas can the next technical solution be executed, and based on the overlapping areas, the determination of the non-healthy area can be ensured. Specifically: S121. Set a detection group for the battery group, and the regional shape of the detection group is the same as the regional shape of the battery group.

[0044] The purpose of this step is to maximize the structural similarity between the two while ensuring that the regional shapes of the detection groups and the battery groups are the same, ensuring that the shapes of the overlapping areas are regular, and facilitating the subsequent calculation of the area of the overlapping areas (i.e., the non-healthy areas).

[0045] Among them, obtaining the regional shape of the battery group includes the length and width, as well as the angle between two adjacent sides.

[0046] In some embodiments, ensure that the shapes of both the battery group and the detection group are rectangles to facilitate subsequent area calculations.

[0047] Among them, after obtaining the shape of the battery group, for the set shape of the detection group, it is necessary to keep it a similar figure to the shape of the battery group and divide the detection group.

[0048] S122. Obtain the positions of the detection groups, and set overlapping areas between adjacent detection groups to obtain grouped overlapping areas.

[0049] The aspect of this step is that in order to maximize the detection accuracy of the battery health, even for the positioning of non-healthy areas. Considering that in order to improve the detection efficiency of health, the area of the detection group is usually set relatively large. Therefore, based on this setting method, it is difficult to achieve the desired effect. Therefore, it is necessary to ensure that there are overlapping areas between adjacent groups, and then the state of the overlapping areas can be detected to obtain non-healthy areas.

[0050] Among them, determine the area of the detection group based on detection requirements or the experience of technicians.

[0051] Among them, set overlapping areas between each detection group.

[0052] In some embodiments, also obtain the area of the overlapping area according to the detection accuracy requirement, so as to determine the position of the detection group based on the area of the overlapping area.

[0053] Among them, also set representations for the grouped overlapping areas to explain parameters such as the regional position and area.

[0054] S123. The grouped overlapping areas completely cover the battery group, and there are intersecting areas between the grouped overlapping areas. As Figure 2 shown, it is a schematic diagram of the division of detection groups for a battery health detection method provided by an embodiment of the present application. Among them, area A represents the battery group, areas C1 to C4 represent the detection groups, and R represents the overlapping areas of areas C1 to C4. Of course, the entire battery group is covered by p overlapping areas, and it supports pThere is also an intersection area between overlapping regions, which is not shown in this application Figure 2 but Figure 2 it only serves to demonstrate the principle and does not limit the technical solution of this application.

[0055] The purpose of this step is that for the obtained detection groups and the formed overlapping regions, in order to ensure that the health status of the battery to be detected can be determined using the obtained overlapping regions, obviously, the overlapping regions need to be able to cover the battery groups in order to determine the unhealthy regions in the battery to be detected.

[0056] Among them, for all the set overlapping regions, it is necessary to ensure that they can completely cover the battery groups where the overlapping regions are located.

[0057] Among them, for all the overlapping regions, in order to further improve the analysis accuracy of the unhealthy regions, it can be ensured that there are overlapping regions between the grouped overlapping regions.

[0058] Among them, whether it is for the overlapping regions themselves or the intersection regions of the overlapping regions, in subsequent processing, the intersection regions and the overlapping regions together cover the battery groups.

[0059] In some embodiments, it is also possible to completely cover the battery groups based on the interaction regions of the overlapping regions to achieve the determination of all detection regions in the battery groups.

[0060] In the detection of battery health status, considering that there will be a large number of overlapping regions and each overlapping region corresponds to a corresponding detection region, in order to further improve the processing efficiency of all data, by setting a second information identifier, it is possible to set information identifiers for battery groups, detection groups, etc., so as to be used to explain the logical relationships between various groups. Specifically: S124. It further includes: Obtain all the detection groups that form the overlapping regions, and set a second information identifier for all the detection groups based on the overlapping regions.

[0061] The purpose of this step is that for all the information identifiers, it is necessary to set the overlapping regions, so that in the obtained detection information groups, the common storage of information such as battery groups, detection groups, and overlapping regions can be established, and thus in subsequent processing, other information can be directly determined based on the determined overlapping region information.

[0062] Among them, corresponding second information identifiers are set for all the overlapping regions, and this identifier contains various information.

[0063] Among them, for the second information identifier, the information it can contain includes the position of the overlapping region, the area of the overlapping region, etc.

[0064] S125. Establish the corresponding relationship among the overlapping region, the second information identifier, and the detection group corresponding to the second information identifier, and obtain the constituent groups of the grouped overlapping region.

[0065] The purpose of this step is that after all information is associated with the corresponding information identifiers, based on this association relationship, when any one of the technical solutions is determined, the other information contained therein can be determined.

[0066] Among them, for the obtained overlapping region information, second identifier information, and the detection groups formed by the overlapping regions corresponding to the second information identifier, establish the association relationship for all of them.

[0067] Among them, all the obtained information is established within a dedicated corresponding relationship range to achieve information establishment.

[0068] Among them, for the constituent groups of the overlapping regions corresponding to the second information identifier, such information needs to be established. That is to say, this kind of corresponding relationship is the most critical information.

[0069] S126. Establish the corresponding relationship between the constituent groups of the grouped overlapping region and the unique identifier to obtain the constituent groups of the grouped overlapping region contained in the unique identifier.

[0070] The purpose of this step is that for the established corresponding relationship between the overlapping region and other information, such information also needs to be associated with the corresponding battery groups to ensure that in the current situation, the determination of all constituent group information is achieved.

[0071] Among them, for the obtained constituent groups, based on the purpose of the battery groups where each detection group is located, explain all the determined groups therein to improve the processing flow.

[0072] Among them, for all processing results, the corresponding relationship between various types of identifiers and grouping information needs to be established, so that all other information can be deduced based on the position of the overlapping region.

[0073] As described in step S130, the purpose of this step is to further improve the detection efficiency of battery health. By directly determining the battery parameters of all the detection groups set therein, the purpose can be achieved. Because the area of the detection group is relatively large and larger than the overlapping region, during processing, based on the results of the battery parameters to be detected in the detection group, a foundation can be laid for the subsequent specific non - healthy regions. Specifically: S131. In each of the detection groups, set the type of battery parameters to be detected and determine the detection parameter category.

[0074] The purpose of this step is to directly determine the types of battery parameters to be detected in the entire detection grouping area after determining the types of battery parameters to be detected, and based on this parameter type, determine the detection parameter categories, and then the battery parameter detection can be carried out.

[0075] Among them, for the types of battery parameters to be detected, they can be determined according to all parameter types that can illustrate the battery health, including output power, current, voltage, and regional cell parameters, etc.

[0076] In some embodiments, for all the types of battery parameters to be detected obtained, they can also be personalized set based on actual needs, as well as self-developed detection parameters, as long as they can meet the hardware detection conditions.

[0077] S132. Based on the detection parameter categories, obtain the data of the detection parameter categories corresponding to the detection grouping, and obtain the battery parameters to be detected.

[0078] The purpose of this step is that after determining the detection parameter categories, based on this information, for the information in all detection areas of the battery to be detected, the corresponding detection parameters need to be obtained based on the obtained category information, and this kind of data is used to determine the non-healthy detection grouping.

[0079] Among them, the detection parameters are obtained based on the detection equipment used in the implementation process of the battery health detection method.

[0080] Among them, after determining the detection parameter categories, the corresponding detection parameters need to be obtained based on this category.

[0081] Among them, all the obtained battery parameters to be detected can include output power, battery, voltage, and regional cell parameters, etc.

[0082] Among them, for all the battery parameters to be detected, they need to be recorded to obtain the battery parameters to be detected of the detection grouping.

[0083] S133. Compare the battery parameters to be detected with the preset battery parameters to be detected. If the battery parameters to be detected are not higher than the preset battery parameters of the detection grouping, the detection grouping is a non-healthy detection grouping.

[0084] The purpose of this step is that after obtaining the battery parameters to be detected of the detection grouping, an evaluation criterion needs to be set to determine whether the battery parameters to be detected in this detection grouping indicate that the detection grouping is a non-healthy detection grouping.

[0085] Among them, for the battery parameters to be detected for correspondence, corresponding preset parameters need to be set for them, and the preset parameters are compared with the obtained battery parameters to be detected.

[0086] Among them, when it is determined that the battery parameters to be detected are not higher than the preset parameters, it is considered that the current battery parameters to be detected are lower than the standard value, and then the current detection group is in an unhealthy state.

[0087] In some embodiments, when the battery parameters to be detected are not lower than the preset parameters, it can also be considered that the detection group is in an unhealthy state.

[0088] Among them, for the preset battery parameters to be detected, they can be directly set according to the experience of technicians.

[0089] In some embodiments, for the set preset parameters, they can also be determined according to information such as the type of battery, the battery structure, and the number of charge and discharge cycles of the battery. Specifically: first, based on this type of information, determine the change curve of the battery parameters to be detected of the battery, and then directly based on the independent variable information of the curve or the function of the curve, for the current time node or other independent variable information, obtain the theoretical battery parameters to be detected at the current time node, and this parameter is the preset battery parameters to be detected. For example: as Figure 3 shown, it is the change curve of the battery parameters to be detected of a battery health detection method provided by an embodiment of the present application. Specifically, the vertical axis represents the battery capacity, and the horizontal axis represents the number of charge and discharge cycles of the battery. It is found that the overall function between the battery capacity and the number of charge and discharge cycles of the battery conforms to the equation: ; Among them, C represents the capacity of the battery, A, B and D represent the computable parameters in the function. These computable parameters can all be obtained based on the type of this model battery and charge and discharge tests, so as to obtain the equation, x represents the number of charge and discharge cycles.

[0090] Among them, for the situation of equation (1), for the preset battery parameters to be detected, according to the number of charge and discharge cycles of the current battery, obtain the number of charge and discharge cycles during battery health detection, and calculate the corresponding battery capacity based on equation (1), and this capacity is the preset battery capacity.

[0091] In some embodiments, if the cell state is detected, considering that it may be that only one of the cells has a dimensional change, it is necessary to use the area scanning method for the cells in each detection group. When it is found that the shape of a certain area changes from the shape of other areas, it is considered that the detection group where this area is located is in an unhealthy state.

[0092] In some embodiments, for the obtained types of detected battery parameters, the associations between this parameter type and other types of battery parameter types are also analyzed. When it is determined that a certain detected battery parameter indicates that the detection group is a non - healthy detection group, it is also necessary to obtain the associated detected battery parameter types of the detected battery parameter, and at the same time obtain the relevant detected battery parameters, and obtain the preset parameters of the associated detected battery parameter types. Compare the obtained relevant detected battery parameters with their preset parameters to verify whether the obtained detection group is a truly non - healthy detection group, so as to avoid misjudgment of non - healthy detection groups.

[0093] As described in step S140, the purpose of this step is that one of the purposes of this application is to improve the detection accuracy of battery health, and it is determined by the area ratio of the non - healthy area. Therefore, during processing, it is necessary to determine the non - healthy area of the battery. However, considering that the area of the detection group is larger than the non - healthy area, it is necessary to further obtain the non - healthy performance of all overlapping areas in the non - healthy detection group after determining the non - healthy detection group, so as to accurately obtain the non - healthy area. Specifically: S141. Obtain all overlapping areas in the non - healthy detection group to obtain the to - be - confirmed non - healthy area, and obtain the second information identifier of the to - be - confirmed non - healthy area.

[0094] The purpose of this step is that when the non - healthy detection group is determined, all overlapping areas therein are identified, all to - be - confirmed non - healthy areas are determined, and the unique identifier of this group is obtained, so as to obtain its specific information based on the unique identifier.

[0095] Among them, the overlapping areas in the non - healthy detection group are all set as to - be - confirmed non - healthy areas.

[0096] Among them, the essence of the obtained to - be - confirmed non - healthy area is an overlapping area, and all overlapping areas therein are set with a second information identifier, and the second information identifier corresponds to the detection group forming this overlapping area, so the corresponding detection group can be obtained based on the second information identifier.

[0097] S142. Based on the second information identifier of the to - be - confirmed non - healthy area, obtain the detection group corresponding to the to - be - confirmed non - healthy area.

[0098] The purpose of this step is that after obtaining the second information identifier of the non - healthy area, according to this information, the detection group forming the to - be - detected non - healthy area can be determined, and then other types of parameters in the health detection parameters can be obtained.

[0099] Among them, after the to - be - confirmed non - healthy area is determined, the second information identifier corresponding to this area can be directly obtained.

[0100] Among them, according to the obtained second information identifier, directly obtain the detection group that forms the to-be-confirmed non-healthy area associated with the second information identifier, so as to obtain the detection area that needs to further obtain battery parameters.

[0101] In some embodiments, it is also possible not to obtain the second information identifier, but directly based on the constituent elements or the positional relationship of the detection groups, obtain all the detection groups that form the to-be-confirmed non-healthy area.

[0102] Among them, for all the to-be-confirmed non-healthy areas obtained, it is necessary to confirm all the detection groups corresponding to the to-be-confirmed non-healthy area. That is to say, if the to-be-confirmed non-healthy area is n one, then the number of sets of detection groups that form the to-be-confirmed non-healthy area constructed is also n one.

[0103] As described in step S150, the purpose of this step is to determine whether the obtained to-be-confirmed non-healthy area is a real non-healthy area. Then, it is necessary to use the acquisition of adjacent group parameters to verify the to-be-confirmed non-healthy area and find the non-healthy area in the detection group. Specifically: S151. Obtain the type of battery parameters to be detected in the process of determining the to-be-confirmed non-healthy detection group.

[0104] The purpose of this step is that for the type of battery parameters to be detected obtained currently, the type of battery parameters to be detected often has an electrical association with other types of parameters, such as the association between current, voltage, and output power, etc. Therefore, in specific processing, it is necessary to be able to determine the category of adjacent group parameters according to this parameter type.

[0105] Among them, in the process of determining the non-healthy detection group, determine the type of battery parameters obtained therein.

[0106] In some embodiments, the type of battery parameters detected is the performance of the battery cell. Since the battery cell can have an association relationship with almost all types of battery parameters, it is necessary to use all other types as the battery parameter types of the subsequent detection groups.

[0107] S152. Based on the type of battery parameters to be detected, obtain other types of battery parameters associated with the type of battery parameters to be detected.

[0108] The purpose of this step is that for the obtained types of battery parameters to be detected, based on the electrical relationships between various types of battery parameters, the types of battery parameters required for obtaining adjacent grouped parameters need to be obtained, and the battery parameters corresponding to these types of battery parameters need to be obtained, so as to be used for obtaining the battery parameters of the detection groups for the subsequent areas to be confirmed as non - healthy.

[0109] Among them, based on the obtained types of battery parameters to be detected, the correlation relationships between these types of battery parameters to be detected need to be analyzed and determined.

[0110] Among them, based on the determined correlation relationships, all the data relationships therein need to be determined, so as to obtain the types of battery parameters to be detected in obtaining the adjacent grouped parameters of the detection groups.

[0111] In some embodiments, according to the detection requirements and standards for battery health, the types of battery parameters required for further detecting adjacent groups can also be determined by oneself to obtain the analysis results.

[0112] Among them, it is necessary to ensure that the types of battery parameters set in the adjacent groups are different from those of the detection groups.

[0113] In some embodiments, for the types of battery parameters set in the adjacent groups, the types of battery parameters of the detection groups must also be expanded, and at the same time, other types of battery parameters need to be included.

[0114] S153. Based on the other types of battery parameters, obtain the adjacent grouped parameters for the battery parameters of the adjacent groups of the non - health detection groups.

[0115] The purpose of this step is to obtain the battery parameters of the adjacent groups, and then based on these battery parameters, all parameter types are detected, so as to obtain the non - healthy areas from the areas to be confirmed as non - healthy based on these adjacent grouped parameters.

[0116] Among them, for the obtained other types of battery parameters, the adjacent groups are detected to obtain the adjacent grouped parameters.

[0117] Among them, for the obtained adjacent groups, the battery parameters of the adjacent groups need to be measured for the obtained other types of battery parameters.

[0118] Among them, the other battery parameters in the obtained adjacent groups are determined as the adjacent grouped parameters.

[0119] In some embodiments, for adjacent grouping parameters, all types of detected battery parameter types are included, that is, the detected battery parameter types for the determination process of the to-be-confirmed non-healthy detection group are included, and based on this type, the adjacent grouping parameters are obtained.

[0120] As described in step S160, the purpose of this step is to obtain the non-healthy area in the battery grouping during battery health detection, so that the battery health can be determined based on the non-healthy area, and the determination accuracy of the non-healthy area of the battery grouping is fully guaranteed. Specifically: S161. Set corresponding preset adjacent grouping parameters based on the categories of the battery parameters of all the adjacent groups.

[0121] The purpose of this step is to analyze the categories of the adjacent grouping parameters and whether the adjacent grouping also has non-healthy manifestations. In specific processing, standard values, that is, preset adjacent grouping parameters, need to be set.

[0122] Among them, for the preset adjacent grouping parameters, the specific obtaining method is the same as that of step S133, which will not be elaborated here.

[0123] S162. Obtain all the adjacent grouping parameters and compare all the adjacent grouping parameters with the corresponding preset adjacent grouping parameters.

[0124] The purpose of this step is to compare the measured parameters with the preset parameters for the preset adjacent grouping parameters to determine whether the adjacent grouping shows a non-healthy state.

[0125] Among them, the obtained adjacent grouping parameters are compared with the obtained preset adjacent grouping parameters.

[0126] Among them, it is also necessary to ensure that the type of the adjacent grouping parameters is the same as that of other preset adjacent grouping parameters. Only in the same case can the two types of data be compared.

[0127] S163. If all the adjacent grouping parameters are not higher than the corresponding preset adjacent grouping parameters, the to-be-confirmed non-healthy area is the non-healthy area of the battery grouping.

[0128] The purpose of this step is to determine the non-healthy area of the battery grouping based on the obtained comparison result.

[0129] Among them, all the parameters are compared. Only when the comparison results of all other battery parameters indicate that this area is a non-healthy area can the obtained to-be-confirmed non-healthy area be considered as the non-healthy area of the battery grouping.

[0130] Among them, it is necessary to ensure that all adjacent grouping parameters in the to-be-confirmed non-healthy area are represented as non-healthy areas before the currently obtained to-be-confirmed non-healthy area can be considered as a battery grouping non-healthy area.

[0131] In some embodiments, as long as a parameter of another battery parameter type in an adjacent grouping indicates that the adjacent grouping presents a non-healthy state, the overlapping area of the detection grouping and the adjacent grouping is considered as a battery grouping non-healthy area.

[0132] In some embodiments, as long as it is found that the battery parameters of an adjacent grouping show a non-healthy state, the to-be-confirmed non-healthy area formed by these two areas is the battery grouping non-healthy area.

[0133] However, it should be noted that in the health detection of the battery to be detected, it is possible that in a certain adjacent grouping, or even in the detection grouping, there are two or more non-healthy areas. In the face of this situation, if no confirmation is carried out, it is very easy to cause misjudgment of the system and the inability to confirm the position and area of the battery grouping non-healthy area. Because the basic principle of this application is to determine the overlapping area of adjacent groupings, the area of this overlapping area should be the same when different detection groupings are used as the research object. However, if there are multiple non-healthy areas, it will be found in the observation that the areas are different, which will lead to difficulty for the detection system to obtain the non-healthy area of the battery grouping. Therefore, this situation needs to be considered and processed to ensure the correct operation of the system. Specifically: S164. Obtain the number and position of the to-be-confirmed non-healthy areas in all the adjacent groupings.

[0134] The purpose of this step is to determine the position of the non-healthy area, and it can be analyzed whether the non-healthy areas between adjacent groupings overlap. If they overlap, it means that the non-healthy areas existing in these two adjacent groupings are the same area. For the determination of the number of areas, based on this quantity parameter, it can be determined whether it is necessary to analyze the non-healthy areas in other obtained detection groupings, and based on this non-healthy area, analyze the non-healthy state of other adjacent groupings.

[0135] Among them, for the confirmation of the position, a coordinate system can be set for each obtained detection area, and the coordinate points and coordinate areas of the to-be-confirmed non-healthy areas can be determined.

[0136] In some embodiments, for the obtained position information, analyze whether the coordinate areas of the to-be-confirmed non-healthy areas are separated, and count the number of separations, then directly determine the number of to-be-confirmed non-healthy areas.

[0137] Among them, for the number of unconfirmed non-healthy areas to be confirmed, it is determined based on the area of the area to obtain the processing result. Analyze the area of the non-healthy areas of the battery grouping in the detection grouping, and obtain the area of the unconfirmed non-healthy areas of the adjacent grouping, and compare these two types of parameters. The specific comparison equation is: ; Among them, represents the ratio of the area of the unconfirmed non-healthy areas of the adjacent grouping to the area of the non-healthy areas of the battery grouping; represents the area of the unconfirmed non-healthy areas of the adjacent grouping; represents the area of the non-healthy areas of the battery grouping.

[0138] Among them, whether it is for the area of the unconfirmed non-healthy areas of the adjacent grouping or the area of the non-healthy areas of the battery grouping, it can be directly determined according to the shape of the overlapping area between the detection groupings.

[0139] Among them, in the determination of the area of the non-healthy areas of the battery grouping, the area is determined based on the shape and size of the obtained non-healthy areas.

[0140] Among them, when it is found that the ratio is not 1, it is considered that the number of unconfirmed non-healthy areas in the adjacent grouping is not less than 1.

[0141] In some embodiments, for the overlapping area areas set for the adjacent groupings themselves are different, then the ratio of these two areas needs to be used as the preset ratio. When it is found that the value is different from the preset ratio, it is considered that the number of unconfirmed non-healthy areas in the adjacent grouping is not less than 1.

[0142] S165. When the number of unconfirmed non-healthy areas is not less than 2, obtain the positions of the unconfirmed non-healthy areas in the adjacent grouping to obtain the positions of the unconfirmed non-healthy areas.

[0143] The purpose of this step is that when it is determined that the number of unconfirmed non-healthy areas is not less than 2, it means that there must be a non-healthy area of the battery grouping among them, and the other unconfirmed non-healthy areas are non-healthy areas that need to be further verified. Thus, all non-healthy areas in the detection grouping are found. Therefore, the purpose of this step is to obtain the positions of the unconfirmed non-healthy areas among them, so as to eliminate the non-healthy areas of the battery grouping.

[0144] Among them, based on the coordinate system of the detection grouping, when it is found that the number of unconfirmed non-healthy areas is not less than 2, the positions of the non-healthy areas to be determined are determined based on the methods of steps S110~S163.

[0145] Among them, the positions of all unconfirmed non-healthy areas in the detection group are determined.

[0146] In some embodiments, the positions of the battery group non-healthy areas existing therein are directly marked, so that all other positions outside the area positions are determined as unconfirmed non-healthy area positions.

[0147] S166. Obtain the overlapping positions of the unconfirmed non-healthy area positions and the battery group non-healthy areas, and obtain the battery group non-healthy area positions in the adjacent groups.

[0148] The purpose of this step is to obtain the battery group non-healthy area positions in the adjacent groups. Based on these area positions, the obtained battery group non-healthy area positions are obtained, which lays a foundation for the subsequent determination of the unconfirmed non-healthy area positions and the determination of other unconfirmed non-healthy area positions in the adjacent groups or the current detection group.

[0149] Among them, based on the unconfirmed non-healthy area positions and the battery group non-healthy area positions, when it is found that a certain unconfirmed non-healthy area position in the adjacent group and the battery group non-healthy area position overlap in two or more adjacent detection groups, the current unconfirmed non-healthy area is the battery group non-healthy area.

[0150] In some embodiments, obtain the spatial positions between adjacent groups, and directly based on the way of confirming the spatial overlapping area, analyze whether the unconfirmed non-healthy areas in these two detection groups and the already obtained battery group non-healthy areas overlap. If they overlap, the unconfirmed non-healthy area in the adjacent group is also the battery group non-healthy area.

[0151] Among them, for all adjacent groups, it is necessary to obtain all the unconfirmed non-healthy area positions therein, and it can be determined based on the coordinate method.

[0152] S167. Based on the unconfirmed non-healthy area positions in the adjacent groups and the battery group non-healthy area positions, obtain other unconfirmed non-healthy areas in the adjacent groups to obtain secondary unconfirmed non-healthy areas.

[0153] The purpose of this step is to, for the unconfirmed non-healthy areas in the adjacent groups, when the battery group non-healthy areas therein are determined, obtain all other unconfirmed non-healthy area positions therein. After that, based on such areas, all other battery group non-healthy areas that can be obtained can be further verified.

[0154] Among them, after the unconfirmed non - healthy areas of adjacent groups have been determined, all the unconfirmed non - healthy areas in the adjacent groups are obtained, and the battery - group non - healthy areas that have already been obtained are excluded from the unconfirmed non - healthy areas.

[0155] Among them, after excluding the unconfirmed non - healthy area information after the battery - group non - healthy areas, such unconfirmed non - healthy areas are the secondary unconfirmed non - healthy areas.

[0156] Among them, the positions of all the secondary unconfirmed non - healthy areas are also obtained, so as to obtain all the secondary unconfirmed non - healthy areas in the detection group based on the set good - table information.

[0157] In some embodiments, the edge line of the detection group can extend beyond the edge lines of the detection group and the battery group to ensure full coverage of the overlapping areas in the entire battery group or detection group.

[0158] Among them, for the secondary unconfirmed non - healthy areas in this step, their meaning is other unconfirmed non - healthy areas after the battery - group non - healthy areas in the detection group.

[0159] S168. Based on the secondary unconfirmed non - healthy areas, obtain the secondary battery - group non - healthy areas.

[0160] The purpose of this step is that for all the obtained secondary unconfirmed non - healthy areas, all the areas need to be further verified to determine the non - healthy areas of the battery group from them.

[0161] Among them, for the secondary unconfirmed non - healthy areas, the obtained battery - group non - healthy areas are the secondary battery - group non - healthy areas.

[0162] Among them, for the determination of the secondary battery - group non - healthy areas, the method is the same as the methods in steps S161 - S163, and will not be elaborated here.

[0163] As described in step S170, the purpose of this step is that in the calculation of the battery health degree, the battery health degree needs to be calculated according to the area of the battery - group non - healthy areas that can be obtained and the battery area. Specifically: S171. Based on the edge line of the battery - group non - healthy areas, obtain the side length of the battery - group non - healthy areas.

[0164] The purpose of this step is that, considering that the shape of the battery is regular, and at the same time the methods for dividing the detection groups and the battery groups are also regular, it is possible to determine that the shape of the unhealthy area of the battery group is also regular based on such regular figures. Then, directly obtain the edge line of the current unhealthy area of the battery group and obtain the side length of the unhealthy area of the battery group.

[0165] Among them, for the obtained unhealthy area of the battery group, which is essentially the overlapping area in the detection group, the edge line of this overlapping area can be directly obtained.

[0166] Among them, for the edge line of the obtained overlapping area, it can be directly measured. Regarding the measurement method, it can be obtained by using the relevant equipment in the health detection system.

[0167] Among them, regarding the side length of the unhealthy area of the battery group, it is also possible to determine the edge line of the unhealthy area of the battery group according to the relative positions of two or more adjacent groups in the formation of the unhealthy area of the battery group, and directly obtain the side length of the unhealthy area of the battery group.

[0168] In some embodiments, it is also possible to directly obtain the side length of the unhealthy area of the battery group based on the relative positions of two or more adjacent groups in the constituent area of the unhealthy area of the battery group.

[0169] S172. Based on the side length of the unhealthy area of the battery group, obtain the area of the unhealthy area of the battery group.

[0170] The purpose of this step is that for the obtained side length of the unhealthy area of the battery group, directly obtain the area of the unhealthy area of the battery group, so as to determine the total area of the unhealthy area of the battery group on the current battery group.

[0171] Among them, for the obtained side length of the unhealthy area of the battery group, calculate according to the side length and the side length of the unhealthy area of the battery group to obtain the area of the unhealthy battery group.

[0172] In some embodiments, it is possible to directly determine the area of the unhealthy area of the battery group based on the relative positions of the adjacent detection groups that make up the unhealthy area of the battery group in the same way as the case proposed in step S171.

[0173] S173. Obtain the sum of the areas of all the unhealthy areas of the battery groups to obtain the total area of the unhealthy areas of the battery groups.

[0174] The purpose of this step is to obtain the sum of the areas of the unhealthy areas of the battery groups. After that, based on this sum of area data, the parameters of the battery health can be calculated.

[0175] Among them, all the unhealthy areas of the battery groups are obtained, and the total area of this area is calculated to obtain the total area of the unhealthy areas of the battery groups.

[0176] In some embodiments, in one case, for different adjacent groups, the overlapping areas are respectively divided, and there are also intersecting areas between the overlapping areas. In this case, the areas of the unhealthy areas of the battery groups of each adjacent detection group are different. In this case, it is necessary to obtain the unhealthy area of the battery group with the largest area among them, and use this area as the area of the unhealthy area of the battery group to be calculated.

[0177] S174. Obtain the total area of the unhealthy areas of all the battery groups to obtain the total area of the battery unhealthy areas.

[0178] The purpose of this step is to obtain the total area of the unhealthy areas that appear in the health detection of the entire battery. Then, based on this parameter, the total area of the battery unhealthy areas can be obtained, and the battery health can be calculated.

[0179] Among them, for all the obtained unhealthy areas of the battery groups, obtain the areas of all the unhealthy areas of the battery groups and perform a summation process.

[0180] S175. Obtain the ratio of the total area of the battery unhealthy areas to the area of the battery to be detected, and the ratio is the battery health.

[0181] The purpose of this step is to directly obtain the battery health based on the total area of the battery unhealthy areas.

[0182] Among them, obtain the ratio of the total area of the battery unhealthy areas to the area of the battery to be detected, and the obtained ratio result is directly used as the battery health.

[0183] In some embodiments, obtain all types of detected battery parameters in the health detection of the battery, and obtain the associations between various battery parameters, so as to determine the weights of various detected battery parameters. In this process, it is necessary to determine according to the weight equations of various detected battery parameters. The specific equations are as follows: ; Among them, represents the correlation degree between a certain type of battery parameter and the health, represents the change value of the i th type of battery parameter, represents the change value of the battery health, represents the influence weight of the i th type of battery parameter on the health, i represents the type index of the battery parameter,j Indicates the total number of type indices of TV parameters.

[0184] Among them, after determining all the weights, the battery parameter change values and weights during the health detection process can be obtained respectively, and the health is calculated. The obtained health calculation equation is: ; Among them, h Indicates the health, Indicates the i th type of detected battery parameter change value, Indicates the i th non-healthy area area of the battery group in the area where the battery parameter changes, S Indicates the area of the battery to be detected, m Indicates the serial number index of the battery group, n Indicates the total number of serial number indices of the battery group.

[0185] For example: For a certain type of battery, through experimental analysis, it is found that among all the detected battery parameters, among the parameters of output voltage, current and capacity, the degrees of influence on the battery health are different. Therefore, in specific processing, the weights need to be determined. The determined weights are 0.2, 0.3 and 0.5. Then, all the output voltage, current and capacity values in the non-healthy area of the battery group are obtained, and the difference between the obtained values and the preset values or initial values is calculated, then the i th type of detected battery parameter change value is obtained, and all the values are multiplied by the area of the corresponding non-healthy area, and the sum of the product results in all battery groups is obtained, so that the ratio of the total non-healthy area of the battery to the area of the battery to be detected can be obtained to obtain the battery health.

[0186] In some embodiments, for each different detected battery parameter, in the parameter expression of the battery health, the corresponding relationship between each detected battery parameter change value and the battery health is also separately shown. For example: For the output voltage, current and capacity values, the battery health determination equation calculated for each type of detected battery parameter is: ; That is to say, in this equation, instead of summing each type of detected battery parameter in each detection group, only for a certain type of detected battery parameter, the health corresponding to the same type of detected battery parameter in all battery groups of the battery to be detected is obtained.

[0187] In some embodiments, further adjustment is made to the weights based on the correlations among the detected battery parameters. Based on such correlations, the weights are directly adjusted, and then the battery health is obtained based on Equation (4).

[0188] In some embodiments, in the detection of battery health, the width direction of the battery is also divided into regions. Based on the common division in the thickness direction and the bottom surface direction, the health is obtained based on the volume ratio in the detection of health. For the specific health calculation method, it is the same as all the methods and the content of the battery health determination equation in the above text, and will not be elaborated here.

[0189] In addition, the present application also discloses a battery health detection system, as Figure 4 shown, which is a schematic diagram of a battery health detection system disclosed in an embodiment of the present application. Specifically: A battery health detection system includes: a battery grouping division module, a detection grouping division module, a battery grouping unhealthy area determination module, an area calculation module, a battery health calculation module, and an output module; The battery grouping division module is used to obtain the edge line and structure of the battery to be detected, set a structure grouping and a unique identifier for the battery to be detected, and obtain the battery grouping; The detection grouping division module is connected to the battery grouping division module and is used to set a detection grouping for the battery grouping and obtain the constituent grouping of the grouping overlapping area; The battery grouping unhealthy area determination module is connected to the detection grouping division module and is used to obtain the battery grouping unhealthy area of the battery to be detected; The area calculation module is connected to the battery grouping unhealthy area determination module and is used to obtain the area of all the battery grouping unhealthy areas and the area of the battery to be detected; The battery health calculation module is connected to the area calculation module and is used to obtain the ratio of the area of all the battery grouping unhealthy areas to the area of the battery to be detected; The output module is connected to the battery health calculation module and is used to output the battery health value.

[0190] The above battery health detection system can execute all the battery health detection methods disclosed in steps S110 to S170, so as to detect the battery health.

[0191] The present application has the following beneficial effects: 1. The detection efficiency is improved. In this application, the batteries to be detected are divided into battery groups, and the detection groups are further set for the battery groups. There are overlapping areas between adjacent groups. Then, by determining whether the overlapping areas are non-healthy areas of the battery groups and calculating the ratio of the total area of the non-healthy areas of the battery groups to the total area of the batteries, a regionalized health detection scheme for battery health detection is realized, improving the detection efficiency of battery health.

[0192] 2. The detection accuracy is improved. In the detection of battery health in this application, it belongs to a general method for obtaining based on all detection data and a general health analysis method based on parameters. The parameters of the battery to be detected can be determined based on the detection requirements, and at the same time, other parameters that can change due to the parameters of the battery to be detected can also be detected. Thus, based on the application of multiple detection data, the detection accuracy of battery health is improved.

[0193] 3. The detection range is broadened. In the technical solution of this application, the associations between all parameters during the battery health detection process can also be established. Thus, other various types of data can be obtained based on the associations of these parameters, and based on this data, the detection parameter range can be broadened, so as to adapt to various detection requirements and scenarios.

[0194] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to computer program instructions. The aforementioned computer program can be stored in a non-volatile storage medium. When the computer program is executed, it executes the steps including the above method embodiments. 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 non-volatile storage medium. Based on such an understanding, the technical solutions of the embodiments of the present invention, in essence, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions for causing an electronic device (which can be a personal computer, a server, a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention.

[0195] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention.

Claims

1. A method for detecting battery health, characterized in that, The detection method includes: Obtain the structure information of the battery to be detected to obtain battery groups; Set multiple detection groups on the battery groups, with overlapping areas between adjacent groups, to obtain grouped overlapping areas; Obtain the parameters of the batteries to be detected in the detection groups, and compare the parameters of the batteries to be detected with the preset parameters of the batteries to be detected to obtain unhealthy detection groups; Obtain the overlapping areas in the unhealthy detection groups to obtain areas to be confirmed as unhealthy, and obtain the detection groups forming the areas to be confirmed as unhealthy; Obtain the battery parameters of the detection groups forming the areas to be confirmed as unhealthy to obtain adjacent group parameters; Compare the adjacent group parameters with the preset adjacent group parameters to obtain unhealthy areas of the battery groups; Obtain the battery health based on the areas of all the unhealthy areas of the battery groups.

2. The battery health detection method according to claim 1, wherein The obtaining the structure information of the battery to be detected to obtain battery groups includes: Based on the edge line lengths and structural partitions in the structure information of the battery to be detected, obtain the structural groups of the battery to be detected; Set unique identifiers for all the structural groups of the battery to be detected respectively, and establish the corresponding relationship between the structural groups of the battery to be detected and the unique identifiers; Set the structural groups of the battery to be detected and the corresponding unique identifiers into the same data group to obtain battery groups.

3. The battery health detection method according to claim 1, characterized in that, The setting multiple detection groups on the battery groups, with overlapping areas between adjacent groups, to obtain grouped overlapping areas includes: Set detection groups for the battery groups, and the regional shapes of the detection groups are the same as those of the battery groups; Obtain the positions of the detection groups, and set overlapping areas between adjacent detection groups to obtain grouped overlapping areas; The grouped overlapping areas completely cover the battery groups, and there are intersecting areas between the grouped overlapping areas; It also includes: Obtain all the detection groups forming the overlapping areas, and set second information identifiers for all the detection groups based on the overlapping areas; Establish the corresponding relationship between the overlapping areas, the second information identifiers, and the detection groups corresponding to the second information identifiers to obtain the constituent groups of the grouped overlapping areas; Establish the corresponding relationship between the constituent groups of the grouped overlapping areas and the unique identifiers to obtain the constituent groups of the grouped overlapping areas included in the unique identifiers.

4. The battery health detection method according to claim 1, wherein The obtaining the parameters of the batteries to be detected in the detection groups, and comparing the parameters of the batteries to be detected with the preset parameters of the batteries to be detected to obtain unhealthy detection groups includes: In each detection group, set the types of parameters of the batteries to be detected to determine the categories of detection parameters; Based on the categories of detection parameters, obtain the data of the categories of detection parameters corresponding to the detection groups to obtain the parameters of the batteries to be detected; Compare the parameters of the batteries to be detected with the preset parameters of the batteries to be detected. If the parameters of the batteries to be detected are not higher than the preset parameters of the batteries in the detection groups, the detection group is an unhealthy detection group.

5. The battery health detection method according to claim 1, characterized in that, The obtaining the overlapping areas in the unhealthy detection groups to obtain areas to be confirmed as unhealthy, and obtaining the detection groups forming the areas to be confirmed as unhealthy includes: Obtain all overlapping regions in the unhealthy detection group to obtain the region to be confirmed as unhealthy, and obtain the second information identifier of the region to be confirmed as unhealthy. Based on the second information identifier of the region to be confirmed as unhealthy, obtain the detection group corresponding to the region to be confirmed as unhealthy.

6. The battery health detection method according to claim 1, wherein The battery parameters of the detection group forming the region to be confirmed as unhealthy are obtained to obtain adjacent group parameters, including: Obtain the type of battery parameters to be detected in the process of determining the unhealthy detection group to be confirmed. Based on the type of battery parameters to be detected, obtain other types of battery parameters associated with the type of battery parameters to be detected. Based on the other types of battery parameters, obtain the battery parameters of the adjacent groups of the unhealthy detection group to obtain adjacent group parameters.

7. The battery health detection method according to claim 1, characterized in that The comparison of the adjacent group parameters with the preset adjacent group parameters to obtain the unhealthy region of the battery group includes: Based on the categories of all the adjacent group parameters, set the corresponding preset adjacent group parameters. Obtain all the adjacent group parameters, and compare all the adjacent group parameters with the corresponding preset adjacent group parameters. If all the adjacent group parameters are not higher than the corresponding preset adjacent group parameters, the region to be confirmed as unhealthy is the unhealthy region of the battery group.

8. The battery health detection method according to claim 7, wherein, It further includes: Obtain the number and positions of the regions to be confirmed as unhealthy in all the adjacent groups. When the number of regions to be confirmed as unhealthy is not less than 2, obtain the positions of the regions to be confirmed as unhealthy in the adjacent groups to obtain the positions of the regions to be confirmed as unhealthy. Obtain the overlapping positions of the positions of the regions to be confirmed as unhealthy and the unhealthy region of the battery group, and obtain the positions of the unhealthy region of the battery group in the adjacent groups. Based on the positions of the regions to be confirmed as unhealthy and the positions of the unhealthy region of the battery group in the adjacent groups, obtain other regions to be confirmed as unhealthy in the adjacent groups to obtain the regions to be confirmed as unhealthy for the second time. Based on the regions to be confirmed as unhealthy for the second time, obtain the unhealthy region of the battery group for the second time.

9. The battery health detection method according to claim 1, wherein The obtaining of the battery health degree based on the areas of all the unhealthy regions of the battery groups includes: Based on the edge lines of the unhealthy regions of the battery groups, obtain the side lengths of the unhealthy regions of the battery groups. Based on the side lengths of the unhealthy regions of the battery groups, obtain the areas of the unhealthy regions of the battery groups. Obtain the total area sum of all the unhealthy regions of the battery groups to obtain the total area of the unhealthy regions of the battery groups. Obtain the total area of the unhealthy regions of the battery groups of all the battery groups to obtain the total area of the unhealthy regions of the battery. Obtain the ratio of the total area of the unhealthy regions of the battery to the area of the battery to be detected, and the ratio is the battery health degree.

10. A battery health detection system for performing the battery health detection method according to any one of claims 1 to 9, characterized in that It includes: Battery group division module, detection group division module, unhealthy region determination module of battery group, area calculation module, battery health degree calculation module and output module; The battery group division module is used to obtain the edge lines and structure of the battery to be detected, set structure groups and unique identifiers for the battery to be detected, and obtain battery groups. The detection grouping division module is connected to the battery grouping division module, and is used for setting detection groups for the battery groups and obtaining the constituent groups of the grouping overlapping areas; The battery group unhealthy area determination module is connected to the detection grouping division module, and is used for obtaining the battery group unhealthy areas of the batteries to be detected; The area calculation module is connected to the battery group unhealthy area determination module, and is used for obtaining the areas of all the battery group unhealthy areas and the area of the battery to be detected; The battery health degree calculation module is connected to the area calculation module, and is used for obtaining the ratio of the areas of all the battery group unhealthy areas to the area of the battery to be detected; The output module is connected to the battery health degree calculation module, and is used for outputting the battery health degree value.

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