A battery health detection method and system

Abstract

The application discloses a battery health degree detection method, comprising: obtaining the structure information of a battery to be detected to obtain a battery group; setting a plurality of detection groups on the battery group, the adjacent groups having an overlapping area to obtain a group overlapping area; obtaining the detected battery parameters of the detection groups and comparing the detected battery parameters with preset detected battery parameters; obtaining the overlapping area in the non-healthy detection group and obtaining the detection group forming a to-be-confirmed non-healthy area; obtaining the battery parameters of the detection group forming the to-be-confirmed non-healthy area to obtain adjacent group parameters; comparing the adjacent group parameters with preset adjacent group parameters to obtain a battery group non-healthy area; and obtaining the battery health degree based on the area of the battery group non-healthy area. The application solves the problems of insufficient health degree detection precision and efficiency in the prior art, fully improves the detection precision and efficiency, and improves the universality of the technical scheme in battery health degree detection.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of battery detection, and particularly relates to a battery health degree detection method and system. BACKGROUND

[0002] Battery technology plays an important role in many fields at present. However, due to the characteristics of the battery, the health degree of the battery will continue to decline after multiple charging and discharging and long use. In order to avoid the decline of the energy supply effect caused by the insufficient battery health degree and even the safety risk, the battery health degree needs to be effectively detected. At present, the method developed for battery health degree detection is a comprehensive and separate detection method for battery cells. The detection objects used include cell morphology, output current, current and voltage detection methods. This method will result in low detection efficiency, and each detection method can only detect single data, which is difficult to construct a universal battery health degree detection method and will result in insufficient health degree detection accuracy.

[0003] Therefore, how to establish a rapid battery health degree detection method based on multiple detection parameters to improve detection accuracy is a technical problem that needs to be solved by those skilled in the art. SUMMARY

[0004] In order to establish a rapid battery health degree detection method based on multiple detection parameters to improve detection accuracy in battery health degree detection, to solve the problems of low battery health degree detection efficiency and insufficient detection accuracy in the prior art, the application discloses the following technical solutions, including:

[0005] First aspect:

[0006] A battery health degree detection method, the detection method comprising:

[0007] Obtaining the structure information of the battery to be detected to obtain a battery grouping;

[0008] A plurality of detection groupings are set on the battery grouping, and the adjacent groupings have an overlapping area to obtain a grouping overlapping area;

[0009] Obtaining the detected battery parameters of the detection grouping, and comparing the detected battery parameters with preset detected battery parameters to obtain a non-healthy detection grouping;

[0010] Obtaining the overlapping area in the non-healthy detection grouping to obtain a to-be-confirmed non-healthy area, and obtaining the detection grouping forming the to-be-confirmed non-healthy area;

[0011] Obtaining the battery parameters of the detection grouping forming the to-be-confirmed non-healthy area to obtain adjacent grouping parameters;

[0012] Comparing the adjacent group parameters with the preset adjacent group parameters, a battery group unhealthy area is obtained;

[0013] Based on areas of all the battery group unhealthy areas, a battery health degree is obtained.

[0014] Optionally, the structure information of the battery to be detected is obtained to obtain a battery group, including:

[0015] Based on the edge line length and the structure partition in the structure information of the battery to be detected, a structure group of the battery to be detected is obtained;

[0016] A unique identifier is set for each of the structure groups of the battery to be detected, and a corresponding relationship between the structure groups of the battery to be detected and the unique identifiers is established;

[0017] The structure groups of the battery to be detected and the corresponding unique identifiers are set in the same data group to obtain a battery group.

[0018] Optionally, a plurality of detection groups are set on the battery group, and the adjacent groups have overlapping areas to obtain a group overlapping area, including:

[0019] The detection groups are set on the battery group, and the area shape of the detection groups is the same as the area shape of the battery group;

[0020] The positions of the detection groups are obtained, and overlapping areas are set between adjacent detection groups to obtain a group overlapping area;

[0021] The group overlapping area completely covers the battery group, and the group overlapping areas have intersection areas;

[0022] Further comprising:

[0023] All the detection groups forming the overlapping areas are obtained, and second information identifiers are set for all the detection groups based on the overlapping areas;

[0024] A corresponding relationship among the overlapping areas, the second information identifiers, and the detection groups corresponding to the second information identifiers is established to obtain constituent groups of the group overlapping area;

[0025] A corresponding relationship between the constituent groups of the group overlapping area and unique identifiers is established to obtain the constituent groups of the group overlapping area contained in the unique identifiers.

[0026] Optionally, the detected battery parameters of the detection groups are obtained, and the detected battery parameters are compared with preset detected battery parameters to obtain an unhealthy detection group, including:

[0027] In each of the detection packets, a detected battery parameter type is set, and a detection parameter category is determined;

[0028] Based on the detection parameter category, data of the detection parameter category corresponding to the detection packet is acquired, and a detected battery parameter is obtained;

[0029] The detected battery parameter is compared with a preset detected battery parameter, and if the detected battery parameter is not higher than the preset detected battery parameter, the detection packet is a non-healthy detection packet.

[0030] Optionally, the overlapping area in the non-healthy detection packet is acquired to obtain a to-be-confirmed non-healthy area, and the detection packet forming the to-be-confirmed non-healthy area is acquired, including:

[0031] All overlapping areas in the non-healthy detection packet are acquired to obtain a to-be-confirmed non-healthy area, and a second information identifier of the to-be-confirmed non-healthy area is acquired;

[0032] Based on the second information identifier of the to-be-confirmed non-healthy area, the detection packet forming the to-be-confirmed non-healthy area is acquired.

[0033] Optionally, the battery parameter of the detection packet forming the to-be-confirmed non-healthy area is acquired to obtain an adjacent packet parameter, including:

[0034] The detected battery parameter type in the determination process of the to-be-confirmed non-healthy detection packet is acquired;

[0035] Based on the detected battery parameter type, other battery parameter types associated with the type of the detected battery parameter are acquired;

[0036] Based on the other battery parameter types, the battery parameters of adjacent packets of the non-healthy detection packet are acquired to obtain adjacent packet parameters.

[0037] Optionally, the adjacent packet parameters and the preset adjacent packet parameters are compared to acquire a battery packet non-healthy area, including:

[0038] Based on the categories of all the adjacent packet parameters, corresponding preset adjacent packet parameters are set;

[0039] All the adjacent packet parameters are acquired, and all the adjacent packet parameters and the corresponding preset adjacent packet parameters are compared;

[0040] If all the adjacent packet parameters are not higher than the corresponding preset adjacent packet parameters, the to-be-confirmed non-healthy area is a battery packet non-healthy area.

[0041] Optionally, the method further includes:

[0042] obtaining the number and location of the to-be-confirmed unhealthy areas in the adjacent group;

[0043] when the number of the to-be-confirmed unhealthy areas is not less than 2, obtaining the location of the to-be-confirmed unhealthy areas in the adjacent group, to obtain the to-be-confirmed unhealthy area location;

[0044] obtaining the overlap location of the to-be-confirmed unhealthy area location and the battery group unhealthy area, and obtaining the battery group unhealthy area location in the adjacent group;

[0045] based on the to-be-confirmed unhealthy area location in the adjacent group and the battery group unhealthy area location, obtaining other to-be-confirmed unhealthy areas in the adjacent group, to obtain secondary to-be-confirmed unhealthy areas;

[0046] based on the secondary to-be-confirmed unhealthy areas, obtaining secondary battery group unhealthy areas.

[0047] Optionally, the battery health degree is obtained based on the area of all the battery group unhealthy areas, including:

[0048] based on the edge line of the battery group unhealthy area, obtaining the side length of the battery group unhealthy area;

[0049] based on the side length of the battery group unhealthy area, obtaining the area of the battery group unhealthy area;

[0050] obtaining the total area of all the battery group unhealthy areas, to obtain the total area of the battery group unhealthy area;

[0051] obtaining the total area of the battery group unhealthy area of all the battery groups, to obtain the total area of the battery unhealthy area;

[0052] obtaining the ratio of the total area of the battery unhealthy area and the to-be-detected battery area, and the ratio is the battery health degree.

[0053] Second aspect:

[0054] A battery health degree detection system for executing the battery health degree detection method of the first aspect, characterized in that it comprises a battery group division module, a detection group division module, a battery group unhealthy area determination module, an area accounting module, a battery health degree calculation module and an output module.

[0055] The battery group division module is used to obtain the edge line and structure of the to-be-detected battery, set a structure group and a unique identifier for the to-be-detected battery, and obtain the battery group.

[0056] The detection grouping module and the battery grouping module are connected, and are configured to set a detection group for the battery group and obtain a constituting group of a group overlap region;

[0057] The battery group non-healthy region determination module and the detection grouping module are connected, and are configured to obtain a battery group non-healthy region of a battery to be detected;

[0058] The area accounting module and the battery group non-healthy region determination module are connected, and are configured to obtain an area of all the battery group non-healthy regions and an area of the battery to be detected;

[0059] The battery health degree calculation module and the area accounting module are connected, and are configured to obtain a ratio of the area of all the battery group non-healthy regions and the area of the battery to be detected;

[0060] The output module and the battery health degree calculation module are connected, and are configured to output a battery health degree value.

[0061] The present application comprises the following beneficial effects:

[0062] 1. The detection efficiency is improved. In the present application, the battery to be detected is divided into a battery group, and a detection group is further set for the battery group, and the adjacent groups further contain an overlap region. Then, by determining whether the overlap region is a battery group non-healthy region and calculating the ratio of the total area of the battery group non-healthy region and the total area of the battery, a regional health degree detection scheme is realized in the battery health degree detection, and the detection efficiency of the battery health degree is improved.

[0063] 2. The detection accuracy is improved. In the present application, the battery health degree detection belongs to a universal acquisition based on all detection data and a universal health degree analysis method based on parameters. The parameters of the battery to be detected can be determined based on the detection requirements, and other parameters that can be changed due to the parameters of the battery to be detected can also be detected. Therefore, based on the application of multiple detection data, the detection accuracy of the battery health degree is improved.

[0064] 3. The detection range is widened. In the technical scheme of the present application, the correlation between all parameters in the battery health degree detection process can be established, and other various data can be obtained based on the correlation of such parameters. Therefore, the detection parameter range can be widened based on such data, and multiple detection requirements and scenes can be adapted. BRIEF DESCRIPTION OF DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments of the present application or the prior art. Obviously, the following description is only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor. The drawings are used to provide further understanding of the present disclosure and constitute a part of the specification, and are used to explain the present disclosure together with the following detailed embodiments, but do not constitute a limitation on the present disclosure. In the drawings:

[0066] Figure 1 A flow chart of a battery health degree detection method provided by an embodiment of the present application;

[0067] Figure 2 A detection grouping division schematic diagram of a battery health degree detection method provided by an embodiment of the present application;

[0068] Figure 3 A detected battery parameter change curve of a battery health degree detection method provided by an embodiment of the present application;

[0069] Figure 4 A schematic diagram of a battery health degree detection system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0070] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application. In addition, in the embodiments of the present application, "first", "second", etc. are used to distinguish similar objects, not necessarily to describe a specific order or sequence.

[0071] In the current battery health degree detection, the detection of the battery health degree is to obtain a certain battery parameter, and then the health degree is analyzed based on the parameter. At the same time, the detection method used is to obtain the output parameter of each battery cell one by one, and then the number of battery cells with insufficient health degree is obtained, and the health degree of the battery is obtained based on the index. This method has obvious defects. On the one hand, the way of analyzing each parameter of the battery cell will result in low efficiency of health degree detection, and it is difficult to obtain the detection result in a short time, and even some destructive treatment is needed to obtain the state of the battery cell. On the other hand, only one parameter of the battery can be obtained, and then the battery health degree is detected based on the parameter, which makes it difficult to obtain multiple battery parameters and improve the accuracy of battery health degree detection.

[0072] In order to solve the problems in the prior art, the application discloses the following technical solutions, such as Figure 1 As shown in the figure, a battery health degree detection method flow chart provided by the embodiment of the application, specifically:

[0073] S110, obtaining the structure information of the battery to be detected, and obtaining the battery grouping.

[0074] S120, setting a plurality of detection groupings on the battery grouping, and having an overlapping area between adjacent groupings, and obtaining the grouping overlapping area.

[0075] S130, obtaining the detected battery parameters of the detection grouping, and comparing the detected battery parameters with the preset detected battery parameters, and obtaining the non-healthy detection grouping.

[0076] S140, obtaining the overlapping area in the non-healthy detection grouping, obtaining the to-be-confirmed non-healthy area, and obtaining the detection grouping forming the to-be-confirmed non-healthy area.

[0077] S150, obtaining the battery parameters of the detection grouping forming the to-be-confirmed non-healthy area, and obtaining the adjacent grouping parameters.

[0078] S160, comparing the adjacent grouping parameters with the preset adjacent grouping parameters, and obtaining the battery grouping non-healthy area.

[0079] S170, obtaining the battery health degree based on the area of all the battery grouping non-healthy areas.

[0080] The purpose of all the above steps is to divide the battery grouping in the battery health degree detection, then divide the detection grouping of the battery grouping, determine the overlapping area between adjacent groupings, and determine whether the overlapping area means that there is a problem of battery health degree. If it is found that there is, the area of the overlapping area is determined, and the total area of the battery grouping non-healthy area in all the battery groupings on the battery is obtained, so that the sub-area detection in the battery health degree detection is realized, instead of detecting each battery cell one by one, so that the health degree detection efficiency is greatly improved. In the following, all the above steps will be described in detail, specifically:

[0081] As described in step S110, the purpose of this step is to group the battery to be detected, so as to divide the entire battery in the detection space to improve the detection efficiency. Specifically:

[0082] S111, obtaining the structure grouping of the battery to be detected based on the edge line length and the structure partition in the structure information of the battery to be detected.

[0083] The purpose of this step is to arrange a large number of battery cells in the battery, and such battery cells are arranged in regions according to the overall structure of the battery pack, and the overall length and width of the battery are known quantities, so in the processing, by the structure information and the edge line length of the battery to be detected, the grouping number of the battery to be detected can be reduced, and the health degree detection efficiency can be improved.

[0084] Wherein, the edge line of the battery is obtained, and the length and width of the edge line are obtained.

[0085] Wherein, the structure partition of the battery is obtained, so as to determine each different partition of the battery to be detected.

[0086] In some embodiments, the edge line length and the structure partition of the battery in the thickness direction are also obtained, so as to realize the decomposition of the structure partition in the thickness direction of the battery.

[0087] Wherein, if the battery to be detected has obvious structure partition, the edge line information of the battery to be detected can also not be analyzed, and the battery grouping processing can be directly based on the structure partition.

[0088] Wherein, for the obtained battery structure information and edge line information, the region of the whole battery to be detected is divided, and the obtained region division result is the structure grouping of the battery to be detected.

[0089] S112, a unique identifier is set for each structure grouping of all the battery to be detected, and a corresponding relationship between the structure grouping of the battery to be detected and the unique identifier is established.

[0090] The purpose of this step is to set a unique identifier for each structure grouping in the battery after the spatial range is divided, so that the corresponding structure grouping can be obtained based on the obtained unique identifier, and the association between the detection grouping contained in the subsequent structure grouping is established.

[0091] Wherein, all the obtained structure groupings are set with a unique identifier, and all the identifiers cannot be the same.

[0092] In some embodiments, if the structure information in the thickness direction and the bottom surface direction of the battery is obtained at the same time, the structure grouping in the shape of a cuboid is obtained based on the division parameters in the bottom surface direction and the thickness direction, and a unique identifier is set for the structure grouping, and the unique identifiers of such structure groupings cannot be the same.

[0093] S113, the structure grouping of the battery to be detected and the corresponding unique identifier are set into the same data group, and the battery grouping is obtained.

[0094] The purpose of this step is to establish an effective grouping of the battery after the correspondence of the obtained unique identifier and the structure grouping, so that the grouping information of the battery can be explained by using the unique identifier in the subsequent health analysis, and the structure grouping is avoided in the calculation of the total area.

[0095] Among them, for the set unique identifier and the corresponding structure grouping, the two types of data are marked and recorded.

[0096] Among them, for the set unique identifier and the structure grouping, the two types of data are marked and recorded.

[0097] In some embodiments, the unique identifier in the established grouping is set in the required manner, and the data group is used to record the information of the structure grouping, such as the size, position, structure description, etc. of the structure grouping, so as to realize the description of the structure grouping information.

[0098] As described in step S120, the purpose of this step is to further disassemble the obtained detection grouping, set multiple detection groupings in each disassembled area, and ensure that the detection groupings have overlapping areas. Only after the overlapping areas are obtained, the next technical solution can be executed, and based on the overlapping areas, the determination of the non-healthy area can be ensured. Specifically:

[0099] S121, setting a detection grouping for the battery grouping, the area shape of the detection grouping is the same as the area shape of the battery grouping.

[0100] The purpose of this step is to ensure that the area shape of the detection grouping is the same as the area shape of the battery grouping, so that the structure of the two can be similar to the greatest extent, the properties of the overlapping area are regular, and the area calculation of the subsequent overlapping area (i.e. non-healthy area) is facilitated.

[0101] Among them, the area shape of the battery grouping includes length and width, and the included angle between the two adjacent sides.

[0102] In some embodiments, the shapes of the battery grouping and the detection grouping are ensured to be rectangular, so as to facilitate the subsequent area calculation.

[0103] Among them, after obtaining the shape of the battery grouping, the shape of the set detection grouping needs to be kept similar to the shape of the battery grouping, and the detection grouping is divided.

[0104] S122, obtaining the position of the detection grouping, and setting an overlapping area between adjacent detection groupings to obtain a grouping overlapping area.

[0105] The purpose of this step is to maximize the detection accuracy of the battery health, and even to locate the non-healthy area. In order to improve the health detection efficiency, the area of the detection group is usually set to be large, so based on this setting method, it is difficult to achieve the expected effect, and therefore it is necessary to ensure that there is an overlapping area between adjacent groups, and then the state of the overlapping area can be detected to obtain the non-healthy area.

[0106] Among them, the area of the detection group is determined based on the detection requirement or the experience of the technician.

[0107] Among them, an overlapping area is set between each detection group.

[0108] In some embodiments, the area of the overlapping area is also obtained according to the detection accuracy requirement, so as to determine the position of the detection group based on the setting of the overlapping area.

[0109] Among them, the indication of the grouping overlapping area is also set, so as to describe the parameters such as the area position and the area.

[0110] S123, the grouping overlapping area completely covers the battery group, and the grouping overlapping areas have intersection areas. Figure 2 As shown in the figure, it is a detection group division schematic diagram of a battery health detection method provided by the embodiment of the application, wherein the A area represents the battery group, the C1~C4 area represents the detection group, and the R represents the overlapping area of the C1~C4 area. Of course, the whole battery group is covered by p overlapping areas, and there are intersection areas between p overlapping areas, which are not shown in the application Figure 2 , but Figure 2 only play a role in principle demonstration, and are not a limitation on the technical solutions of the application.

[0111] The purpose of this step is to obtain the detection group and the formed overlapping area, so as to ensure that the health of the battery to be detected can be determined by using the obtained overlapping area. Obviously, the overlapping area can cover the battery group, and then the non-healthy area in the battery to be detected can be determined.

[0112] Among them, for all the set overlapping areas, it can be ensured that the overlapping areas can completely cover the battery group where the overlapping areas are located.

[0113] Among them, in order to further improve the analysis accuracy of the non-healthy area, the grouping overlapping areas can have overlapping areas between them.

[0114] Wherein, no matter for the overlapping region itself, or the intersection region of the overlapping region, then in the subsequent processing, the intersection region and the overlapping region jointly cover the battery group.

[0115] In some embodiments, the battery group can also be covered based on the intersection region of the overlapping region to realize the determination of all detection regions in the battery group.

[0116] In the detection of the battery health, considering that a large number of overlapping regions are contained therein, and the overlapping regions correspond to the corresponding detection regions, in order to further improve the processing efficiency of all data, the second information identifier is set therein, which can realize the setting of information identifiers for battery groups, detection groups and the like, thereby being used for logical relationship description between various groups. Specifically:

[0117] S124, further comprising:

[0118] All detection groups forming the overlapping region are obtained, and the second information identifier is set for all detection groups based on the overlapping region.

[0119] The purpose of this step is to set the overlapping region for all information identifiers, so that in the obtained detection information group, the common storage of information such as battery groups, detection groups and overlapping regions can be established, so that in the subsequent processing, other information can be directly determined based on the determined overlapping region information.

[0120] Wherein, the corresponding second information identifier is set for all overlapping regions, and the identifier contains a variety of information.

[0121] Wherein, the information contained in the second information identifier includes the position of the overlapping region, the area of the overlapping region and the like.

[0122] S125, establishing a corresponding relationship between the overlapping region, the second information identifier and the detection group corresponding to the second information identifier, and obtaining the constituent group of the group overlapping region.

[0123] The purpose of this step is to associate all information with the corresponding information identifier, and then determine other information contained therein based on the association relationship in the case of determining any one technical solution.

[0124] Wherein, the obtained overlapping region information, the second identifier information and the detection group formed by the corresponding overlapping region of the second information identifier are associated.

[0125] Wherein, all obtained information is established in a special corresponding relationship range, thereby realizing information establishment.

[0126] In the second information, the corresponding relationship between the constituting group of the overlapping area and the unique identifier needs to be established, that is, the corresponding relationship is the most critical information.

[0127] S126, the corresponding relationship between the constituting group of the overlapping area and the unique identifier is established, so as to obtain the constituting group of the overlapping area contained in the unique identifier.

[0128] The purpose of this step is to establish the corresponding relationship between the information and the corresponding battery group in the established overlapping area and other information corresponding relationship, so as to ensure that all constituting group information is determined in the current situation.

[0129] Among the obtained constituting groups, all the determined groups need to be explained based on the purpose of the battery group where each detection group is located, so as to improve the processing flow.

[0130] Among all the processing results, the corresponding relationship between various identifiers and group information needs to be established, so that all other information can be deduced based on the position of the overlapping area.

[0131] As described in step S130, the purpose of this step is to further improve the detection efficiency of the battery health degree, and directly determine the battery parameters of all detection groups set therein, which can achieve the purpose. Because the area of the detection group is relatively large, it is greater than the overlapping area, so in the processing, the results of the detection parameters of the detection group to be detected can be used to lay the foundation for the subsequent specific non-healthy area. Specifically:

[0132] S131, in each of the detection groups, set the type of the detected battery parameter, and determine the detection parameter category.

[0133] The purpose of this step is to determine the type of the detected battery parameter after determining the type of the detected battery parameter, and determine the type of the detected battery parameter in the entire detection group area, and determine the detection parameter category based on the parameter type, and then perform battery parameter detection.

[0134] Among the types of the detected battery parameters, all parameter types that can explain the battery health degree can be determined, including output power, current, voltage and regional cell parameters.

[0135] In some embodiments, for all the detected battery parameters obtained, they can also be personalized based on actual needs, and self-developed detection parameters, as long as they can meet the hardware detection conditions.

[0136] S132, based on the detection parameter category, obtaining the data of the detection parameter category corresponding to the detection group, to obtain the detected battery parameter.

[0137] The purpose of this step is, after determining the detection parameter category, based on this information, the information in all detection areas in the battery to be detected needs to be obtained based on the category information obtained. The corresponding detection parameter is used for the determination of the non-healthy detection group.

[0138] Among them, based on the detection equipment used in the implementation process of the battery health detection method, the detection parameter is obtained.

[0139] Among them, after determining the detection parameter category, the corresponding detection parameter needs to be obtained based on the category.

[0140] Among them, for all the obtained detection battery parameters, including output power, battery, voltage and regional cell parameters, etc.

[0141] Among them, for all the detected battery parameters, it is necessary to record the detected battery parameters of the detection group.

[0142] S133, compare the detected battery parameter with the preset detected battery parameter, if the detected battery parameter is not higher than the preset detected battery parameter, the detection group is a non-healthy detection group.

[0143] The purpose of this step is, after obtaining the detected battery parameter of the detection group, to set the evaluation standard, whether the detected battery parameter in the detection group indicates that the detection group is a non-healthy detection group.

[0144] Among them, for the corresponding detected battery parameter, the corresponding preset parameter needs to be set, and the preset parameter and the obtained detected battery parameter are compared.

[0145] Among them, when it is determined that the detected battery parameter is not higher than the preset parameter, it is considered that the current detected battery parameter is lower than the standard value, and the current detection group is in a non-healthy state.

[0146] In some embodiments, when the detected battery parameter is not lower than the preset parameter, it is considered that the detection group is in a non-healthy state.

[0147] Among them, for the preset detected battery parameter, it can be directly set according to the experience of technicians.

[0148] In some embodiments, for the preset parameter, the battery type, battery structure, battery charge and discharge times and other information can also be determined, specifically: first, based on the above information, the battery parameter change curve of the detected battery is determined, and then based on the independent variable information of the curve or the function of the curve, the theoretical detected battery parameter at the current time node or other independent variable information is obtained, which is the preset detected battery parameter. For example, as shown in FIG. 11, a detected battery parameter change curve of a battery health detection method provided by an embodiment of the present application is shown. Specifically, the vertical axis represents the battery capacity, and the horizontal axis represents the battery charge and discharge times. It is found that the function between the battery capacity and the battery charge and discharge times as a whole conforms to the equation: Figure 3

[0149]

[0150] wherein, C represents the capacity of the battery, A, B and D represents the function of the calculated parameters, which can be obtained based on the type and charge and discharge test of the battery, thereby obtaining the equation, x represents the charge and discharge times.

[0151] For equation (1), for the preset detected battery parameter, the charge and discharge times at the battery health detection are obtained based on the current battery charge and discharge times, and the corresponding battery capacity is calculated based on equation (1), which is the preset battery capacity.

[0152] In some embodiments, if the cell state detection is performed, considering that only one of the cells may have undergone size changes, the area scanning method is used for each cell in the detection group. When the shape of a certain area and the shape of other areas change, it is considered that the detection group where the area is located is in an unhealthy state.

[0153] In some embodiments, for the obtained detected battery parameter type, the association between the parameter type and other types of battery parameter types is analyzed. When a certain detected battery parameter indicates that the detection group is an unhealthy detection group, the associated detected battery parameter type of the detected battery parameter is also obtained, and the related detected battery parameter is obtained at the same time. The preset parameter of the associated detected battery parameter type is compared with the obtained related detected battery parameter to verify whether the obtained detection group is a true unhealthy detection group, so as to avoid misjudgment of the unhealthy detection group.

[0154] ​​As step S140, the purpose of this step is that, since one of the purposes of the present application is to improve the detection accuracy of the battery health, and it is determined by the area ratio of the unhealthy area, therefore in the process, it is necessary to determine the unhealthy area of the battery, but considering that the area of the detection group is larger than the unhealthy area, therefore it is necessary to further obtain the unhealthy performance of all overlapping areas in the unhealthy detection group, so as to accurately obtain the unhealthy area. Specifically:

[0155] S141, obtain all overlapping areas in the unhealthy detection group, obtain the to-be-confirmed unhealthy area, and obtain the second information identifier of the to-be-confirmed unhealthy area.

[0156] The purpose of this step is to identify all overlapping areas in the unhealthy detection group, determine all to-be-confirmed unhealthy areas therein, and obtain the unique identifier of the group, so as to obtain the specific information based on the unique identifier.

[0157] Among them, all overlapping areas in the unhealthy detection group are set as to-be-confirmed unhealthy areas.

[0158] Among them, the nature of the obtained to-be-confirmed unhealthy area is an overlapping area, all overlapping areas therein are provided with a second information identifier, and the second information identifier corresponds to the detection group forming the overlapping area, so the corresponding detection group can be obtained based on the second information identifier.

[0159] S142, based on the second information identifier of the to-be-confirmed unhealthy area, obtain the detection group corresponding to the to-be-confirmed unhealthy area.

[0160] The purpose of this step is that after obtaining the second information identifier of the unhealthy area, the detection group forming the to-be-detected unhealthy area can be determined according to the information, and then other types of parameters in the health detection parameter can be obtained.

[0161] Among them, after determining the to-be-confirmed unhealthy area, the second information identifier corresponding to the area can be directly obtained.

[0162] Among them, according to the obtained second information identifier, the detection group forming the to-be-confirmed unhealthy area associated with the second information identifier is directly obtained, so as to obtain the detection area which needs to further obtain the battery parameter.

[0163] In some embodiments, the second information identifier can also not be obtained, but the all detection groups forming the to-be-confirmed unhealthy area can be obtained based on the constituent elements or the positional relationship of the detection group.

[0164] Wherein, for all the obtained to-be-confirmed non-healthy areas, all the detection groups corresponding to the to-be-confirmed non-healthy area need to be confirmed, that is, if the to-be-confirmed non-healthy area is n , then the number of detection groups forming the to-be-confirmed non-healthy area is also n .

[0165] As described in step S150, the purpose of this step is to determine whether the to-be-confirmed non-healthy area is a real non-healthy area for the obtained to-be-confirmed non-healthy area, which needs 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:

[0166] S151, acquiring the detected battery parameter type of the to-be-confirmed non-healthy detection group determination process.

[0167] The purpose of this step is that for the currently obtained detected battery parameter type, the detected battery parameter type often has an electrical correlation with other types of parameters, such as the correlation between current, voltage, and output power, and therefore in the specific processing, the category of the adjacent group parameter can be determined according to the parameter type.

[0168] Wherein, for the non-healthy detection group determination process, the battery parameter type obtained therein is determined.

[0169] In some embodiments, the detected battery parameter category is cell performance, and since the cell can have a correlation with almost all battery parameter types, all other types need to be used as the battery parameter type of the subsequent detection group.

[0170] S152, based on the detected battery parameter type, acquiring other battery parameter types associated with the detected battery parameter type.

[0171] The purpose of this step is that for the obtained detected battery parameter type, based on the electrical relationship between various battery parameter types, the battery parameter type needed to be obtained in the acquisition of the adjacent group parameter is obtained, and the battery parameter corresponding to this battery parameter type is obtained, thereby being used for the subsequent acquisition of the battery parameter of the detection group of the to-be-confirmed non-healthy area.

[0172] Wherein, based on the obtained detected battery parameter type, the correlation between the detected battery parameter types needs to be analyzed and determined.

[0173] Wherein, based on the determined correlation, all the data relationships therein need to be determined, so as to obtain the battery parameter type needed to be detected in the acquisition of the adjacent group parameter of the detection group.

[0174] In some embodiments, the type of battery parameter required to be obtained in the further detection of the adjacent group can also be determined by the detection requirement and detection standard for the battery health degree.

[0175] It is required to ensure that the type of battery parameter set in the adjacent group is different from the type of battery parameter detected in the detection group.

[0176] In some embodiments, the type of battery parameter set in the adjacent group must also be expanded to the type of battery parameter of the detection group, and other types of battery parameter types are also required.

[0177] S153, based on the other type of battery parameter, obtaining the battery parameter of the adjacent group of the non-healthy detection group.

[0178] The purpose of this step is to obtain the battery parameter of the adjacent group, and then detect all parameter types based on the battery parameter, so as to obtain the non-healthy area from the to-be-confirmed non-healthy area based on the adjacent group parameter.

[0179] Among them, for the obtained other type of battery parameter, the adjacent group is detected to obtain the adjacent group parameter.

[0180] Among them, for the obtained adjacent group, the battery parameter of the adjacent group needs to be measured for the obtained other type of battery parameter.

[0181] Among them, for the obtained other type of battery parameter in the adjacent group, it is determined as the adjacent group parameter.

[0182] In some embodiments, the adjacent group parameter includes all types of detected battery parameter types, that is, the detected battery parameter types of the to-be-confirmed non-healthy detection group determination process, and the adjacent group parameter is obtained based on the type.

[0183] As described in step S160, the purpose of this step is to obtain the non-healthy area of the battery group in the battery health degree detection, so that the health degree of the battery can be determined based on the non-healthy area, and the determination accuracy of the non-healthy area of the battery group is fully ensured. Specifically:

[0184] S161, based on the category of all the battery parameters of the adjacent group, setting the corresponding preset adjacent group parameter.

[0185] The purpose of this step is to analyze the category of the adjacent grouping parameter and whether the adjacent grouping also has an unhealthy performance, and in the specific processing, a standard value, i.e., a preset adjacent grouping parameter, needs to be set.

[0186] The specific acquisition method of the preset adjacent grouping parameter is the same as that of step S133, and will not be described here.

[0187] S162, acquiring all the adjacent grouping parameters and comparing all the adjacent grouping parameters with the corresponding preset adjacent grouping parameters.

[0188] The purpose of this step is to compare the measured parameters with the preset parameters for the preset adjacent grouping parameter to determine whether the adjacent grouping is in an unhealthy state.

[0189] The obtained adjacent grouping parameters are compared with the obtained preset adjacent grouping parameters.

[0190] In addition, the type of the adjacent grouping parameter and other preset adjacent grouping parameter types need to be the same, and the comparison of the two types of data can only be performed under the same condition.

[0191] S163, if all the adjacent grouping parameters are not higher than the corresponding preset adjacent grouping parameters, the to-be-confirmed unhealthy area is a battery grouping unhealthy area.

[0192] The purpose of this step is to determine the battery grouping unhealthy area based on the obtained comparison result.

[0193] All the parameters are compared, and only when the comparison results of all the other battery parameters indicate that the area is an unhealthy area, the obtained to-be-confirmed unhealthy area can be considered as a battery grouping unhealthy area.

[0194] In addition, it is necessary to ensure that all the adjacent grouping parameters in the to-be-confirmed unhealthy area indicate that the area is an unhealthy area, and then the current obtained to-be-confirmed unhealthy area can be considered as a battery grouping unhealthy area.

[0195] In some embodiments, as long as one parameter of another battery parameter type in the adjacent grouping indicates that the adjacent grouping presents an unhealthy state, the overlapping area of the detection grouping and the adjacent grouping is considered as a battery grouping unhealthy area.

[0196] In some embodiments, as long as one battery parameter of an adjacent grouping presents an unhealthy state, the to-be-confirmed unhealthy area formed by the two areas is a battery grouping unhealthy area.

[0197] But it needs to be noted that in the health detection of the battery to be detected, there can be a situation that there are 2 or more non-healthy regions in a certain adjacent group or even in the detection group. If no confirmation is made, it is easy to cause the system to misjudge and be unable to confirm the position and area of the non-healthy region of the battery group. Because the basic principle of the present application is to determine the overlapping area of the adjacent groups, the area of such overlapping area should be the same when different detection groups are taken as the research object. However, if there are multiple non-healthy regions, the area will be found to be different in observation, which will cause the detection system to be difficult to obtain the area of the non-healthy region of the battery group. Therefore, this situation needs to be considered and processed to ensure that the system can operate correctly. Specifically:

[0198] S164, obtain the number and position of the non-healthy region to be confirmed in all the adjacent groups.

[0199] The purpose of this step is to determine the position of the non-healthy region. It can be analyzed whether the non-healthy regions between adjacent groups coincide. If they coincide, it means that the non-healthy regions existing in the two adjacent groups are the same region. For the determination of the number of regions, it can be determined based on the number of parameters whether the non-healthy region obtained in other detection groups needs to be processed and analyzed the non-healthy state of other adjacent groups based on the non-healthy region.

[0200] Among them, for the confirmation of the position, a coordinate system can be set for each obtained detection region, and the coordinate points and coordinate regions of the non-healthy region to be confirmed are determined.

[0201] In some embodiments, for the obtained position information, it is analyzed whether the coordinate region of the non-healthy region to be confirmed is separated, and the number of separations is counted, then the number of non-healthy regions to be confirmed is directly determined.

[0202] Among them, for the number of non-healthy regions to be confirmed, the area of the region is determined to obtain the processing result, the area of the non-healthy region of the battery group in the detection group is analyzed, and the area of the non-healthy region to be confirmed of the adjacent group is obtained, and the comparison of these two types of parameters is performed. The specific comparison equation is:

[0203] ;

[0204] Among them, represents the ratio of the area of the non-healthy region to be confirmed of the adjacent group to the area of the non-healthy region of the battery group; represents the area of the non-healthy region to be confirmed of the adjacent group; represents the area of the non-healthy region of the battery group.

[0205] Wherein, whether it is for the to-be-confirmed non-healthy area of the adjacent group or the battery group non-healthy area, the area can be directly determined according to the shape of the overlapping area between the detection groups.

[0206] Wherein, in the determination of the battery group non-healthy area, the area is determined based on the shape and size of the obtained non-healthy area.

[0207] Wherein, when the ratio is not 1, it is considered that the number of to-be-confirmed non-healthy areas of the adjacent group is not less than 1.

[0208] In some embodiments, when the overlapping area of the adjacent group is set to be different, the ratio of the two areas is used as a preset ratio, and when the obtained ratio is found to be different from the preset ratio, it is considered that the number of to-be-confirmed non-healthy areas of the adjacent group is not less than 1.

[0209] S165, when the number of to-be-confirmed non-healthy areas is not less than 2, the position of the to-be-confirmed non-healthy area in the adjacent group is obtained, and the position of the to-be-confirmed non-healthy area is obtained.

[0210] The purpose of this step is that when the number of to-be-confirmed non-healthy areas is determined to be not less than 2, it means that there is a battery group non-healthy area, and the other to-be-confirmed non-healthy areas are non-healthy areas that need to be further verified, so as to find all the non-healthy areas in the detection group. Therefore, the purpose of this step is to obtain the position of the to-be-confirmed non-healthy area, so as to eliminate the battery group non-healthy area.

[0211] Wherein, based on the coordinate system of the detection group, when the number of to-be-confirmed non-healthy areas is found to be not less than 2, the position of the to-be-determined non-healthy area is determined based on the method of steps S110-S163.

[0212] Wherein, the positions of all to-be-confirmed non-healthy areas in the detection group are determined.

[0213] In some embodiments, the position of the battery group non-healthy area is directly marked, and other positions outside the area position are determined as to-be-confirmed non-healthy area positions.

[0214] S166, the overlapping position of the to-be-confirmed non-healthy area position and the battery group non-healthy area is obtained, and the position of the battery group non-healthy area in the adjacent group is obtained.

[0215] ​The purpose of this step is to obtain the battery group unhealthy area position in the adjacent group, and based on this area position, obtain the obtained battery group unhealthy area position, which is the basis for the subsequent determination of the to-be-confirmed unhealthy area position and the determination of other to-be-confirmed unhealthy area positions in the adjacent group or the current detection group.

[0216] In this embodiment, based on the to-be-confirmed unhealthy area position and the battery group unhealthy area position, when it is found that a to-be-confirmed unhealthy area position in the adjacent group and the battery group unhealthy area position overlap in two or more adjacent detection groups, the current to-be-confirmed unhealthy area is the battery group unhealthy area.

[0217] In some embodiments, the spatial position between adjacent groups is obtained, and based on the spatial overlap area confirmation, it is analyzed whether the to-be-confirmed unhealthy area in the two detection groups and the obtained battery group unhealthy area overlap. If they overlap, the to-be-confirmed unhealthy area in the adjacent group is also the battery group unhealthy area.

[0218] In this embodiment, for all to-be-confirmed unhealthy area positions in the adjacent group, all to-be-confirmed unhealthy area positions are obtained, which can be determined based on the coordinates.

[0219] S167, based on the to-be-confirmed unhealthy area position in the adjacent group and the battery group unhealthy area position, obtaining other to-be-confirmed unhealthy areas in the adjacent group to obtain secondary to-be-confirmed unhealthy areas.

[0220] The purpose of this step is to obtain all other to-be-confirmed unhealthy area positions in the adjacent group for the to-be-confirmed unhealthy area in the adjacent group after the battery group unhealthy area is determined. Then, based on such areas, all other battery group unhealthy areas that can be obtained are further verified and obtained.

[0221] In this embodiment, after the to-be-confirmed unhealthy area in the adjacent group is determined, all to-be-confirmed unhealthy areas in the adjacent group are obtained, and the battery group unhealthy area that has been obtained is excluded from the to-be-confirmed unhealthy area.

[0222] In this embodiment, after the to-be-confirmed unhealthy area information is excluded by the battery group unhealthy area, the to-be-confirmed unhealthy area is the secondary to-be-confirmed unhealthy area.

[0223] In this embodiment, the positions of all secondary to-be-confirmed unhealthy areas are obtained, and based on the prepared table information, all secondary to-be-confirmed unhealthy areas in the detection group are obtained.

[0224] In some embodiments, the edge line of the detection group that can be supported to be detected can be beyond the edge line of the detection group and the battery group, so as to ensure full coverage of the entire battery group or the overlapping area in the detection group.

[0225] In the step, the meaning of the secondary to-be-confirmed unhealthy area is other to-be-confirmed unhealthy areas after the battery group unhealthy area in the detection group.

[0226] S168, obtaining a secondary battery group unhealthy area based on the secondary to-be-confirmed unhealthy area.

[0227] The purpose of the step is to further verify all the areas in all the obtained secondary to-be-confirmed unhealthy areas, so as to determine the battery group unhealthy area therefrom.

[0228] In the secondary to-be-confirmed unhealthy area, the obtained battery group unhealthy area therefrom is the secondary battery group unhealthy area.

[0229] The method for determining the secondary battery group unhealthy area is the same as that of steps S161-S163, which will not be described herein.

[0230] As described in step S170, the purpose of the step is to calculate the battery health degree based on the area of the obtained battery group unhealthy area and the battery area. Specifically:

[0231] S171, obtaining the side length of the battery group unhealthy area based on the edge line of the battery group unhealthy area.

[0232] The purpose of the step is to consider that the battery shape is regular, and the division method of the detection group and the division method of the battery group are also regular, so that the shape of the battery group unhealthy area can be determined based on the regular graph, and then the edge line of the current battery group unhealthy area is directly obtained, and the side length of the battery group unhealthy area is obtained.

[0233] In the obtained battery group unhealthy area, the essence is the overlapping area in the detection group, so the edge line of the overlapping area can be directly obtained.

[0234] In the obtained edge line of the overlapping area, the edge line is directly measured, and the measurement method can be obtained by using related equipment in the health degree detection system.

[0235] Wherein, regarding the edge length of the battery grouping non-healthy area, it is possible to determine the edge line of the battery grouping non-healthy area according to the relative position of two or more adjacent groups in the formation of the battery grouping non-healthy area, and directly obtain the edge length of the battery grouping non-healthy area.

[0236] In some embodiments, it is also possible to directly obtain the edge length of the battery grouping non-healthy area based on the relative position of two or more adjacent groups in the constituent area of the battery grouping non-healthy area.

[0237] S172, based on the edge length of the battery grouping non-healthy area, obtain the area of the battery grouping non-healthy area.

[0238] The purpose of this step is to directly obtain the area of the battery grouping non-healthy area for the obtained edge length of the battery grouping non-healthy area, so as to determine the total area of the battery grouping non-healthy area on the current battery grouping.

[0239] Wherein, for the obtained edge length of the battery grouping non-healthy area, the area of the battery grouping non-healthy area is calculated according to the edge length and the edge length of the battery grouping non-healthy area.

[0240] In some embodiments, it is possible to directly determine the area of the battery grouping non-healthy area based on the relative position of the adjacent detection groups constituting the battery grouping non-healthy area in the case as proposed in step S171.

[0241] S173, obtain the total area of all the battery grouping non-healthy areas, and obtain the total area of the battery grouping non-healthy area.

[0242] The purpose of this step is to obtain the total area of the battery grouping non-healthy area, and then calculate the parameters of the battery health degree based on the total area data.

[0243] Wherein, all the battery grouping non-healthy areas in the battery grouping are obtained, and the total area of the area is calculated to obtain the total area of the battery grouping non-healthy area.

[0244] In some embodiments, there is a case where the overlapping area is respectively divided in different adjacent groups, and there is also an intersection area between the overlapping areas. In this case, the area of the battery grouping non-healthy area of each adjacent detection group is different, and in this case, it is necessary to obtain the battery grouping non-healthy area with the largest area, and take the area as the area of the battery grouping non-healthy area to be calculated.

[0245] S174, obtain the total area of the battery grouping non-healthy area of all the battery groupings, and obtain the total area of the battery non-healthy area.

[0246] The purpose of this step is to obtain the total area of the non-healthy area in the health detection of the entire battery, and then obtain the total area of the non-healthy area of the battery and calculate the health of the battery according to the parameter.

[0247] Among them, for all the obtained non-healthy areas of the battery group, the areas of all the non-healthy areas of the battery group are obtained and summed up.

[0248] S175, obtain the ratio of the total area of the non-healthy area of the battery and the area of the battery to be detected, and the ratio is the health of the battery.

[0249] The purpose of this step is to directly obtain the health of the battery based on the total area of the non-healthy area of the battery.

[0250] Among them, the ratio of the total area of the non-healthy area of the battery and the area of the battery to be detected is obtained, and the obtained ratio result is directly used as the health of the battery.

[0251] In some embodiments, all types of detection battery parameters in the health detection of the battery are obtained, and the correlation between each type of battery parameter is obtained to determine the weight of each type of detection battery parameter. In this process, the weight equation of each type of detection battery parameter needs to be determined, and the specific equation is:

[0252] ;

[0253] Among them, represents the correlation between a certain type of battery parameter and the health, represents the change value of the first i type of battery parameter, represents the change value of the health of the battery, represents the influence weight of the first i type of battery parameter on the health, i represents the type index of the battery parameter, j represents the total amount of the type index of the television parameter.

[0254] Among them, after all the weights are determined, the change value and the weight of the battery parameter in the health detection process can be obtained respectively, and the health is calculated. The obtained health calculation equation is:

[0255] ;

[0256] Among them, h represents the health, represents the change value of the first i detection battery parameter, represents the change value of the first iA battery parameter change area of a battery grouping non-healthy area, S Indicates the area of the battery to be detected, m Indicates the serial number index of the battery grouping, n Indicates the total amount of serial number indexes of the battery grouping.

[0257] For example: for a certain type of battery, through experimental analysis, it is found that among all the detected battery parameters, the output voltage, current and capacity parameters have different degrees of influence on the battery health degree, so in the specific processing, the weight needs to be determined, and the weight is determined as 0.2, 0.3 and 0.5. Then get all the output voltage, current and capacity values in the battery grouping non-healthy area, and calculate the difference between the obtained value and the preset value or the initial value, and get the first i The detected battery parameter change value is multiplied by the area of the corresponding non-healthy area, and the sum of all battery groupings is obtained, so that the ratio of the total area of the battery non-healthy area to the area of the battery to be detected can be obtained, and the battery health degree is obtained.

[0258] In some embodiments, for each different detected battery parameter, the corresponding relationship between the detected battery parameter change value and the battery health degree is also displayed separately in the parameter expression of the battery health degree, for example: for the output voltage, current and capacity values, the battery health degree determination equation calculated for each detected battery parameter is:

[0259] ;

[0260] That is, in this equation, instead of summing up each detected battery parameter in each detected grouping, only one of the detected battery parameters is obtained, and the health degree corresponding to the same type of detected battery parameter in all battery groupings of the battery to be detected is obtained.

[0261] In some embodiments, the weight between each detected battery parameter is further adjusted, and based on this association, the weight is directly adjusted, and then based on equation (4), the battery health degree is obtained.

[0262] In some embodiments, in the detection of the battery health degree, the width direction of the battery is also divided into regions, and based on the common division in the thickness direction and the bottom direction, the health degree is obtained based on the volume ratio. For the specific health degree calculation method, the content of the battery health degree determination equation is the same as all the methods in the above, which will not be repeated here.

[0263] In addition, the application also discloses a battery health degree detection system, and Figure 4 The battery health degree detection system disclosed by the embodiment of the application is specifically as follows:

[0264] The battery health degree detection system comprises a battery grouping division module, a detection grouping division module, a battery grouping non-healthy area determination module, an area accounting module, a battery health degree calculation module and an output module.

[0265] The battery grouping division module is used for acquiring the edge line and structure of a battery to be detected, setting a structure grouping and a unique identifier for the battery to be detected, and acquiring a battery grouping.

[0266] The detection grouping division module is connected with the battery grouping division module and is used for setting a detection grouping for the battery grouping and acquiring a constituting grouping of a grouping overlap area.

[0267] The battery grouping non-healthy area determination module is connected with the detection grouping division module and is used for acquiring a battery grouping non-healthy area of the battery to be detected.

[0268] The area accounting module is connected with the battery grouping non-healthy area determination module and is used for acquiring the area of all the battery grouping non-healthy areas and the area of the battery to be detected.

[0269] The battery health degree calculation module is connected with the area accounting module and is used for acquiring the ratio of the area of all the battery grouping non-healthy areas to the area of the battery to be detected.

[0270] The output module is connected with the battery health degree calculation module and is used for outputting a battery health degree value.

[0271] The battery health degree detection system disclosed above can execute all the battery health degree detection methods disclosed in steps S110-S170, thereby detecting the battery health degree.

[0272] The application has the following beneficial effects:

[0273] 1. The detection efficiency is improved. The battery to be detected is divided into a battery grouping, and the battery grouping is further set with a detection grouping. The adjacent groupings further comprise an overlap area. Then, whether the overlap area is a battery grouping non-healthy area is determined, and the ratio of the total area of the battery grouping non-healthy area to the total area of the battery is calculated, so that the regional health degree detection scheme is adopted in the battery health degree detection, and the detection efficiency of the battery health degree is improved.

[0274] 2. Improved detection accuracy. This application employs a universally applicable method for battery health detection, based on the acquisition of all detection data and a universally applicable health analysis method based on parameters. It can determine the parameters of the battery being tested based on detection requirements, and can also detect other parameters that can change due to the battery's parameters. Therefore, by applying multiple types of detection data, the accuracy of battery health detection is improved.

[0275] 3. Expanded detection range. The technical solution of this application can also establish the correlation between all parameters in the battery health detection process, thereby obtaining other types of data based on the correlation of these parameters, thus expanding the range of detection parameters and adapting to various detection requirements and scenarios.

[0276] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to computer program instructions. The aforementioned computer program can be stored in a non-volatile storage medium, and when executed, it performs the steps of the above method embodiments. Alternatively, if the integrated unit of the present invention is implemented as a software functional module and sold or used as an independent product, it can also be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, or the part that contributes 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 to cause an electronic device (which may be a personal computer, server, network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention.

[0277] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A battery health detection method, characterized by, The detection method comprises: Obtaining the structure information of the battery to be detected to obtain the battery grouping; Setting a plurality of detection groupings on the battery grouping, the adjacent groupings having overlapping regions, to obtain the grouping overlapping regions, the grouping overlapping regions completely covering the battery grouping, and the grouping overlapping regions having intersection regions; Obtaining the detected battery parameters of the detection groupings, and comparing the detected battery parameters with preset detected battery parameters to obtain unhealthy detection groupings; Obtaining the overlapping regions in the unhealthy detection groupings to obtain the to-be-confirmed unhealthy regions, and obtaining the detection groupings forming the to-be-confirmed unhealthy regions; Obtaining the battery parameters of the detection groupings forming the to-be-confirmed unhealthy regions to obtain the adjacent grouping parameters, comprising: Obtaining the type of the detected battery parameters in the to-be-confirmed unhealthy detection grouping determination process; Based on the type of the detected battery parameters, obtaining the other battery parameter types associated with the type of the detected battery parameters; Based on the other battery parameter types, obtaining the adjacent grouping parameters of the battery parameters of the adjacent groupings of the unhealthy detection groupings; Comparing the adjacent grouping parameters with the preset adjacent grouping parameters to obtain the battery grouping unhealthy regions, comprising: Based on the categories of all the adjacent grouping parameters, setting the corresponding preset adjacent grouping parameters; Obtaining all the adjacent grouping parameters, and comparing all the adjacent grouping parameters with the corresponding preset adjacent grouping parameters; If all the adjacent grouping parameters are not higher than the corresponding preset adjacent grouping parameters, the to-be-confirmed unhealthy regions are the battery grouping unhealthy regions; Based on the areas of all the battery grouping unhealthy regions, obtaining the battery health degree.

2. The battery health detection method of claim 1, wherein The obtaining of the structure information of the battery to be detected to obtain the battery grouping comprises: Based on the edge line length and the structure partition in the structure information of the battery to be detected, obtaining the structure grouping of the battery to be detected; Respectively setting unique identifications to all the structure groupings of the battery to be detected to establish the corresponding relationship between the structure groupings of the battery to be detected and the unique identifications; Setting the structure groupings of the battery to be detected and the corresponding unique identifications to the same data group to obtain the battery grouping.

3. The battery health detection method of claim 1, wherein The setting of a plurality of detection groupings on the battery grouping, the adjacent groupings having overlapping regions, to obtain the grouping overlapping regions comprises: Setting the detection groupings on the battery grouping, the region shape of the detection groupings being the same as the region shape of the battery grouping; Obtaining the positions of the detection groupings, and setting the overlapping regions between the adjacent detection groupings to obtain the grouping overlapping regions; The grouping overlapping regions completely cover the battery grouping, and the grouping overlapping regions have intersection regions; Further comprising: Obtaining all the detection groupings forming the overlapping regions, and setting the second information identifications to all the detection groupings based on the overlapping regions; Establishing the corresponding relationship among the overlapping regions, the second information identifications, and the detection groupings corresponding to the second information identifications to obtain the constituent groupings of the grouping overlapping regions; Establish a corresponding relationship between the constituent groups of the group overlap region and the unique identifier, so as to obtain the constituent groups of the group overlap region contained in the unique identifier.

4. The battery health detection method of claim 1, wherein The method comprises the following steps: In each of the detection groups, a detected battery parameter type is set, and a detection parameter category is determined; Based on the detection parameter category, data corresponding to the detection parameter category of the detection group is obtained, and a detected battery parameter is obtained; If the detected battery parameter is not higher than the preset detected battery parameter, the detection group is a non-healthy detection group.

5. The battery health detection method of claim 1, wherein The method comprises the following steps: All overlapping regions in the non-healthy detection group are obtained to obtain a to-be-confirmed non-healthy region, and a second information identifier of the to-be-confirmed non-healthy region is obtained; Based on the second information identifier of the to-be-confirmed non-healthy region, the detection group corresponding to the to-be-confirmed non-healthy region is obtained.

6. The battery health detection method of claim 1, wherein Further comprising: The number and position of the to-be-confirmed non-healthy region in all the adjacent groups are obtained; When the number of to-be-confirmed non-healthy regions is not less than 2, the position of the to-be-confirmed non-healthy region in the adjacent group is obtained to obtain a to-be-confirmed non-healthy region position; The to-be-confirmed non-healthy region position and the overlapping position of the battery group non-healthy region are obtained to obtain the battery group non-healthy region position in the adjacent group; Based on the to-be-confirmed non-healthy region position in the adjacent group and the battery group non-healthy region position, other to-be-confirmed non-healthy regions in the adjacent group are obtained to obtain secondary to-be-confirmed non-healthy regions; Based on the secondary to-be-confirmed non-healthy regions, secondary battery group non-healthy regions are obtained.

7. The battery health detection method of claim 1, wherein The method comprises the following steps: Based on the edge line of the battery group non-healthy region, the side length of the battery group non-healthy region is obtained; Based on the side length of the battery group non-healthy region, the area of the battery group non-healthy region is obtained; The total area of all the battery group non-healthy regions is obtained to obtain the total area of the battery group non-healthy regions; The total area of all the battery group non-healthy regions is obtained to obtain the total area of the battery group non-healthy regions; The ratio of the total area of the battery non-healthy regions to the to-be-detected battery area is obtained, and the ratio is the battery health degree.

8. A battery state-of-health detection system for performing the battery state-of-health detection method according to any one of claims 1 to 7, characterized by The method comprises the following steps: A battery group division module, a detection group division module, a battery group non-healthy region determination module, an area calculation module, a battery health degree calculation module, and an output module are provided. The battery group division module is used to obtain the edge line and structure of the to-be-detected battery, set a structure group and a unique identifier for the to-be-detected battery, and obtain a battery group. The detection group division module and the battery group division module are connected, and are configured to set a detection group for the battery group, and obtain a constituting group of a group overlap region; The battery group non-healthy region determination module and the detection group division module are connected, and are configured to obtain a battery group non-healthy region of a battery to be detected; The area accounting module and the battery group non-healthy region determination module are connected, and are configured to obtain an area of all the battery group non-healthy regions and an area of the battery to be detected; The battery health degree calculation module and the area accounting module are connected, and are configured to obtain a ratio of the area of all the battery group non-healthy regions and the area of the battery to be detected; The output module and the battery health degree calculation module are connected, and are configured to output a battery health degree value.

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