Battery cell capacity diving detection method and device, storage medium and vehicle

Abstract

The invention discloses a battery cell capacity diving detection method and device, a storage medium and a vehicle, relates to the technical field of batteries, and aims to solve the problem that the accuracy of a battery cell capacity diving detection result is relatively low. The battery cell capacity diving detection method comprises the following steps: acquiring the charging capacity of a characteristic voltage section of a battery cell; based on the charging capacity of the characteristic voltage section of the battery cell, determining a capacity diving identification result of the battery cell, the diving identification result being used for representing whether the capacity of the battery cell dives or not.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a method, device, storage medium and vehicle for detecting a drop in battery cell capacity. Background Art

[0002] With the rapid development of new energy, new energy vehicles have gradually taken a dominant position in the vehicle market. As the core component of new energy vehicles, power batteries play a vital role in the operation of new energy vehicles. However, the service life of power batteries is limited. When the capacity decays to a certain extent, its performance cannot meet the requirements of the power stage, but the remaining life is still high. It can be used for secondary applications in the fields of communication backup power, low-speed electric vehicles and energy storage. These batteries need to be recycled or reused after retirement.

[0003] Unknown operating conditions in the power stage make the attenuation characteristics of different batteries with the same capacity vary. Some retired batteries will experience a rapid decrease in capacity in a very short period of time or a very short cycle, which is called capacity diving. If such capacity diving cells are mixed with normal cells to form a module, the module performance will be greatly reduced, and even serious safety problems will be caused. Therefore, it is necessary to screen the diving cells to ensure power safety.

[0004] In the related art, the risk of battery capacity drop is generally predicted based on the electrochemical performance parameters of the battery. The specific process is: determine the battery capacity loss rate based on the charge and discharge data of the battery to be tested, establish a correlation between the capacity loss rate and the number of charge and discharge cycles, and predict whether the battery capacity has a risk of capacity drop based on the correlation. However, this method takes a long time, has a high energy consumption cost, and the accuracy of the drop detection result is relatively low. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, storage medium and vehicle for detecting a cell capacity drop, aiming to solve the problem of low accuracy of cell capacity drop detection results in related technologies.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme:

[0007] In a first aspect, the present invention provides a method for detecting a capacity dive of a battery cell, comprising: obtaining a charging capacity in a characteristic voltage segment of the battery cell; determining a capacity dive recognition result of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell, wherein the capacity dive recognition result is used to characterize whether a capacity dive occurs in the battery cell.

[0008] The method for detecting the capacity dive of a battery cell provided in the embodiment of the present application obtains the charging capacity of the battery cell in the characteristic voltage segment, and determines the capacity dive identification result of the battery cell according to the charging capacity of the characteristic voltage segment of the battery cell. When the battery cell has a capacity dive phenomenon, the charging capacity of the characteristic voltage segment of the battery cell will change from being stable and unchanged in the normal state to a rapid decline. The result of identifying the battery cell with the capacity dive phenomenon through the charging capacity of the characteristic voltage segment is highly accurate, thereby avoiding safety and performance problems caused by the addition of batteries with capacity dive in the battery.

[0009] In some embodiments, the charging capacity in the above-mentioned characteristic voltage segment is the difference between the capacity of the battery cell at the first characteristic voltage and the capacity at the second characteristic voltage, and the first characteristic voltage and the second characteristic voltage are the voltages at both ends of the characteristic voltage segment.

[0010] In some embodiments, the above-mentioned determining the capacity diving identification result of the battery cell based on the charging capacity in the characteristic voltage section of the battery cell includes: determining the capacity diving identification result of the battery cell based on the size relationship between the charging capacity in the characteristic voltage section and the capacity threshold.

[0011] In some embodiments, the above-mentioned determining the capacity diving recognition result of the battery cell based on the size relationship between the charging capacity in the characteristic voltage segment and the capacity threshold includes: when the charging capacity in the characteristic voltage segment is less than the capacity threshold, determining that the capacity diving recognition result indicates that the battery cell has a capacity diving phenomenon; or, when the charging capacity in the characteristic voltage segment is greater than or equal to the capacity threshold, determining that the capacity diving recognition result indicates that the battery cell does not have a capacity diving phenomenon.

[0012] In some embodiments, the capacity threshold is based on a mapping relationship between the charging capacity in a characteristic voltage segment and the number of cycles.

[0013] In some embodiments, the characteristic voltage segment charging capacities are N, the N characteristic voltage segment charging capacities correspond to different characteristic voltage segments, and N is a positive integer; the above-mentioned determining the capacity diving recognition result of the battery cell based on the characteristic voltage segment charging capacity of the battery cell includes: determining the preliminary capacity diving recognition result corresponding to each of the N characteristic voltage segment charging capacities based on the N characteristic voltage segment charging capacities; obtaining the capacity diving recognition result of the battery cell based on the preliminary capacity diving recognition result corresponding to each of the N characteristic voltage segment charging capacities.

[0014] In some embodiments, the above-mentioned acquisition of the charging capacity of the battery cell in the characteristic voltage segment includes: charging the battery cell from a starting characteristic voltage to a target characteristic voltage in a constant current charging manner, and acquiring the capacities corresponding to each of a plurality of characteristic voltages between the starting characteristic voltage and the target characteristic voltage; and determining the charging capacity in the characteristic voltage segment based on the capacities corresponding to each of the plurality of characteristic voltages.

[0015] In some embodiments, before charging the battery cell from the starting characteristic voltage to the target characteristic voltage in a constant current charging manner, the method further includes: discharging the battery cell to the starting characteristic voltage in a constant current discharging manner.

[0016] In some embodiments, the above method further includes: when it is identified that the battery cell has a capacity diving phenomenon, charging the capacity in a characteristic voltage range of the battery cell to determine the capacity diving risk level of the battery cell.

[0017] In some embodiments, the above-mentioned determining the capacity diving risk level of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell includes: determining the capacity diving risk level of the battery cell based on the relationship between the charging capacity in the characteristic voltage segment of the battery cell and the risk thresholds corresponding to different capacity diving risk levels.

[0018] In some embodiments, the above method further includes: issuing a warning message when it is identified that the capacity of the battery cell has dropped.

[0019] In a second aspect, the present invention provides a detection device for battery cell capacity diving, comprising: an acquisition unit, used to obtain the charging capacity of the battery cell in a characteristic voltage segment; a processing unit, used to determine the capacity diving recognition result of the battery cell based on the charging capacity of the characteristic voltage segment of the battery cell, and the capacity diving recognition result is used to characterize whether the battery cell has a capacity diving phenomenon.

[0020] In some embodiments, the charging capacity in the above-mentioned characteristic voltage segment is the difference between the capacity of the battery cell at the first characteristic voltage and the capacity at the second characteristic voltage, and the first characteristic voltage and the second characteristic voltage are the voltages at both ends of the characteristic voltage segment.

[0021] In some embodiments, the processing unit is specifically used to determine the capacity diving identification result of the battery cell based on the size relationship between the charging capacity in the characteristic voltage section and the capacity threshold.

[0022] In some embodiments, the above-mentioned processing unit is specifically used to determine that the capacity diving identification result indicates that the battery cell has a capacity diving phenomenon when the charging capacity in the characteristic voltage section is less than the capacity threshold; or, when the charging capacity in the characteristic voltage section is greater than or equal to the capacity threshold, determine that the capacity diving identification result indicates that the battery cell does not have a capacity diving phenomenon.

[0023] In some embodiments, the capacity threshold is based on a mapping relationship between the charging capacity in a characteristic voltage segment and the number of cycles.

[0024] In some embodiments, the characteristic voltage segment charging capacities are N, the N characteristic voltage segment charging capacities correspond to different characteristic voltage segments, and N is a positive integer; the processing unit is specifically used to determine the preliminary capacity diving recognition results corresponding to the N characteristic voltage segment charging capacities based on the N characteristic voltage segment charging capacities; based on the preliminary capacity diving recognition results corresponding to the N characteristic voltage segment charging capacities, obtain the capacity diving recognition result of the battery cell.

[0025] In some embodiments, the above-mentioned acquisition unit is specifically used to charge the battery cell from the starting characteristic voltage to the target characteristic voltage in a constant current charging manner, and obtain the capacities corresponding to multiple characteristic voltages between the starting characteristic voltage and the target characteristic voltage; based on the capacities corresponding to the multiple characteristic voltages, determine the charging capacity in the characteristic voltage segment.

[0026] In some embodiments, the acquisition unit is further used to discharge the battery cell to a starting characteristic voltage in a constant current discharge manner.

[0027] In some embodiments, the processing unit is further used to determine the capacity diving risk level of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell when it is identified that the battery cell has a capacity diving phenomenon.

[0028] In some embodiments, the processing unit is specifically used to determine the capacity diving risk level of the battery cell based on the size relationship between the charging capacity in the characteristic voltage section of the battery cell and the risk thresholds corresponding to different capacity diving risk levels.

[0029] In some embodiments, the processing unit is further used to issue a warning message when identifying that the capacity of the battery cell has dropped.

[0030] In a third aspect, the present application provides an electronic device comprising: a processor and a memory configured to store processor executable instructions; wherein the processor is configured to execute the instructions to implement any one of the optional methods for detecting a drop in battery cell capacity in the first aspect above.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium having instructions stored thereon. When the instructions in the computer-readable storage medium are executed by a device, the device is enabled to execute any one of the optional methods for detecting a drop in battery cell capacity in the first aspect described above.

[0032] In a fifth aspect, the present application provides a vehicle, comprising: the electronic device of the third aspect above, or the computer-readable storage medium of the fourth aspect.

[0033] In a sixth aspect, the present application provides a computer program product, which includes computer instructions. When the computer instructions are executed on a processor of a device, the device is capable of executing a method for detecting a drop in battery cell capacity, optionally as described in any one of the first aspects above. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 A flowchart of a method for predicting battery capacity drop in the related art;

[0036] Figure 2 A flowchart of a method for identifying a lithium-ion battery capacity drop point and a battery attenuation degree in the related art;

[0037] Figure 3 A flowchart of a battery life prediction method in the related art;

[0038] Figure 4 A schematic flow chart of a method for detecting a drop in battery cell capacity provided in an embodiment of the present application;

[0039] Figure 5 A schematic flow chart of another method for detecting a drop in battery cell capacity provided in an embodiment of the present application;

[0040] Figure 6 It is a schematic diagram of the change of the charging capacity of the characteristic voltage with the number of cycles;

[0041] Figure 7 It is a schematic diagram of the charging capacity of cells in different health states at the characteristic voltage of 3.0-3.4V;

[0042] Figure 8 It is a schematic diagram of the charging capacity of cells in different health states at a characteristic voltage of 3.30V;

[0043] Fig. 9 A schematic flow chart of another method for detecting a drop in battery cell capacity provided in an embodiment of the present application;

[0044] Fig.10 Schematic diagram of charging the characteristic voltage into the capacity range;

[0045] Fig.11 A schematic flow chart of another method for detecting a drop in battery cell capacity provided in an embodiment of the present application;

[0046] Fig.12 A schematic diagram of charging capacity into the characteristic voltage range of each cell in the battery;

[0047] Fig.13 A schematic flow chart of another method for detecting a drop in battery cell capacity provided in an embodiment of the present application;

[0048] Fig.14 A schematic diagram of the structure of a battery cell capacity drop detection device provided in an embodiment of the present application;

[0049] Fig.15 A schematic diagram of the structure of a device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In the description of the present invention, it should be understood that the terms "upper", "lower", "left", "right", "front", "back", "inside", "outside" and the like indicate directions or positional relationships based on the directions or relative positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention. Unless otherwise specified, the above-mentioned directional description can be flexibly set in the process of actual application under the condition that the relative positional relationship shown in the accompanying drawings is satisfied.

[0052] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0053] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection. It can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0054] In the embodiments of the present invention, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, article or device including the element.

[0055] In the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0056] In the description of this specification, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0057] With the rapid development of new energy, new energy vehicles have gradually taken a dominant position in the vehicle market. As the core component of new energy vehicles, power batteries play a vital role in the operation of new energy vehicles. However, the service life of power batteries is limited. When the capacity decays to a certain extent, its performance cannot meet the requirements of the power stage, but the remaining life is still high. It can be used for secondary applications in the fields of communication backup power, low-speed electric vehicles and energy storage. These batteries need to be recycled or reused after retirement.

[0058] Unknown operating conditions in the power stage make the attenuation characteristics of different batteries with the same capacity vary. Some retired batteries will experience a rapid decrease in capacity in a very short period of time or a very short cycle, which is called capacity diving. If such capacity diving batteries are mixed with normal cells to form a module, the module performance will be greatly reduced, and even serious safety problems will be caused. Therefore, it is necessary to screen the diving cells to ensure power safety.

[0059] In related technologies, such as Figure 1As shown, the battery capacity dive prediction method includes S101-S104, specifically: by establishing a correlation between the charge and discharge data of the battery to be tested and the number of charge and discharge cycles, the risk of battery dive can be quickly predicted according to the trend of the correlation. This method is logically feasible and relatively simple to operate, but the test time is lengthy and the energy cost is high. It is not suitable for the field of cascade utilization. The cascade utilization field here refers to extending the service life of retired batteries by downgrading. However, the above-mentioned test method has a high energy cost, and retired batteries tested by this method cannot be downgraded and applied to other devices.

[0060] like Figure 2 As shown, the method for identifying the capacity drop point and battery attenuation degree of a lithium-ion battery includes S201-S205, specifically: obtaining the battery capacity attenuation characteristics by calculating the battery capacity attenuation of each current cycle and the current average battery capacity attenuation and the difference between the battery capacity attenuation and the average battery capacity attenuation, and correcting the attenuation characteristics by setting a filter window, determining whether the current number of cycles is a healthy cycle, calculating the battery capacity attenuation ratio, and using the K-means clustering algorithm to determine the attenuation threshold, and identifying the battery drop point and battery attenuation degree according to the attenuation threshold and the stability of the battery capacity attenuation ratio. The invention has the characteristics of simple calculation and rapid identification, but the internal drop mechanism cannot be explained.

[0061] like Figure 3 As shown, the battery life prediction method includes S301-S302, specifically: extracting the battery capacity drop feature from the battery capacity loss curve, and extracting the battery capacity increment feature according to the battery IC curve, inputting the capacity increment feature and the capacity drop feature into a pre-trained battery life prediction model to obtain the battery life prediction result, and the battery life prediction model is obtained by training the LSTM model using at least one battery capacity drop feature and capacity increment feature. This method can realize the accurate prediction of the life of lithium-ion batteries under marginal conditions, thereby realizing the refined management of batteries, but the engineering application is difficult, the complicated differential processing cannot adapt to all equipment, and the process and calculation are relatively cumbersome.

[0062] As described in the background technology, the capacity diving detection results obtained by the above-mentioned battery cell capacity diving prediction method are not very accurate and have low practicality. Based on this, the present application proposes a battery cell capacity diving detection method, equipment, storage medium and vehicle, by obtaining the characteristic voltage segment charging capacity of the battery cell, and determining the capacity diving identification result of the battery cell according to the characteristic voltage segment charging capacity of the battery cell. When the battery cell has a capacity diving phenomenon, the characteristic voltage segment charging capacity of the battery cell will change from being stable and unchanged in the normal state to a rapid decline. The characteristic voltage segment charging capacity can accurately identify the battery cell with a capacity diving phenomenon, thereby avoiding safety and performance problems caused by the addition of capacity diving batteries into the battery.

[0063] It should be noted that the device that executes the method for detecting the cell capacity drop provided in the present application may be an electronic device with information processing capabilities, or a battery management system (BMS).

[0064] like Figure 4 As shown, the method for detecting a drop in battery cell capacity includes S401-S402.

[0065] S401, obtaining the charging capacity of the battery cell in a characteristic voltage range.

[0066] Among them, the charging capacity in the characteristic voltage segment is the difference between the capacity of the battery cell at the first characteristic voltage and the capacity at the second characteristic voltage, and the first characteristic voltage and the second characteristic voltage are the voltages at both ends of the characteristic voltage segment.

[0067] Optionally, two characteristic voltages within the voltage platform range are selected, and the two characteristic voltages are used as the first characteristic voltage and the second characteristic voltage respectively. The capacities of the first characteristic voltage and the second characteristic voltage are determined respectively, and the charging capacity of the characteristic voltage segment can be obtained by subtracting the two.

[0068] It should be understood that the voltage platform usually refers to a voltage range in which the voltage changes less and the capacity changes more during the charge and discharge process of the battery. In lithium-ion batteries, the platform voltage is the flatter part of the voltage-capacity curve, which represents the voltage range in which the battery can stably absorb or release energy. When the embodiment of the present application obtains the characteristic voltage segment of the battery cell and charges the capacity, the characteristic voltage segment is located within the voltage platform interval. When the performance of the battery cell decays, such as when the capacity drops, the change in the voltage platform segment is often more obvious than in other stages, so the result obtained is more accurate.

[0069] S402 : Determine a capacity drop recognition result of the battery cell based on the charging capacity in the characteristic voltage range of the battery cell.

[0070] Among them, the capacity diving identification result is used to characterize whether the battery cell has a capacity diving phenomenon.

[0071] It should be understood that when the battery cell does not experience capacity diving, the battery cell performance attenuation is very small. When the battery cell may experience capacity diving, the battery cell performance attenuation will gradually increase. Changes in the attenuation pattern will cause the selected characteristic voltage and the corresponding charging capacity to change. When the battery cell experiences capacity diving, the charging capacity of the selected characteristic voltage segment changes significantly. Therefore, it is possible to judge whether the battery cell has experienced capacity diving based on the charging capacity of the selected characteristic voltage segment.

[0072] Optionally, when the battery cell is in an online state, if it is identified that the battery cell has a capacity drop phenomenon, an early warning message is issued. When the battery cell is in an offline state, if it is identified that the battery cell has a capacity drop phenomenon, the identified battery cell with capacity drop is removed, and then the removed battery cell with capacity drop can be further analyzed and tested.

[0073] Based on S401-S402, it can be seen that the solution of the embodiment of the present application obtains the charging capacity of the characteristic voltage section of the battery cell, and determines the capacity diving identification result of the battery cell according to the charging capacity of the characteristic voltage section of the battery cell. When the battery cell has a capacity diving phenomenon, the charging capacity of the characteristic voltage section of the battery cell will change greatly. The charging capacity of the characteristic voltage section can accurately identify the battery cell with the capacity diving phenomenon, thereby avoiding safety and performance problems caused by the addition of the battery cell with capacity diving.

[0074] In some embodiments, when the battery cell is in an offline state, the charging capacity of the battery cell from the first characteristic voltage to the second characteristic voltage and the corresponding capacity threshold can be obtained through testing, and the actual charging capacity in the characteristic voltage segment and the capacity threshold corresponding to the same voltage segment are compared to determine whether the battery cell has a capacity drop. Figure 4 ,like Figure 5 As shown, the above-mentioned determination of the capacity drop recognition result of the battery cell based on the charging capacity in the characteristic voltage section of the battery cell includes:

[0075] S501 : Determine a capacity drop recognition result of a battery cell based on a size relationship between a charge capacity in a characteristic voltage segment and a capacity threshold.

[0076] Optionally, the charging capacity in the characteristic voltage segment is the difference between the capacity at the first characteristic voltage and the capacity at the second characteristic voltage, and the capacity threshold corresponding to the charging capacity in the characteristic voltage segment can be determined by the capacity threshold at the first characteristic voltage and the capacity threshold at the second characteristic voltage.

[0077] Optionally, when the charged capacity in the characteristic voltage section is less than the capacity threshold, it is determined that the capacity diving identification result indicates that the battery cell has a capacity diving phenomenon, or when the charged capacity in the characteristic voltage section is greater than or equal to the capacity threshold, it is determined that the capacity diving identification result indicates that the battery cell does not have a capacity diving phenomenon.

[0078] In some embodiments, the capacity threshold is determined based on a mapping relationship between the charging capacity in the characteristic voltage segment and the number of cycles.

[0079] It can be understood that the charging capacity of a normal battery cell remains basically unchanged with the increase of the number of cycles, and the charging capacity of a diving battery cell decreases with the increase of the number of cycles. Therefore, the charging capacity of the characteristic voltage range of the capacity diving battery and the normal battery cell of the same capacity gear behaves differently with the increase of the number of cycles.

[0080] Figure 6 It is a schematic diagram of the change of the charging capacity of the characteristic voltage with the number of cycles, such as Figure 6 As shown in (b) in Figure 2, the charge capacity of a normal battery cell remains basically unchanged as the number of cycles increases. Figure 6 As shown in (a) in the figure, the charging capacity of the cell with capacity diving decreases rapidly with the increase of the number of cycles.

[0081] Figure 7 The figure is a schematic diagram showing the change of the charging capacity of the battery cells in different health states (State Of Healthy, SOH) at the characteristic voltage of 3.30V with the number of cycles, as shown in Figure 7 As shown in (a) in the figure, in the capacity range of 150Ah-215Ah, the battery cell is prone to capacity drop, such as Figure 7 As shown in (b), there is a safe attenuation band in the cell attenuation process, and the charge capacity of the characteristic voltage 3.30V in the safe attenuation band is relatively stable. As the health status of the cell changes, the cell may experience a capacity dive. Linear fitting of the cell capacity and the charge capacity yields the relationship between the charge capacity and the cell capacity: y≥0.125x+15. When y<30, the cell is in the dive band, where y represents the charge capacity and x represents the cell capacity.

[0082] For example, Table 1 shows the safe attenuation zone and diving zone of the battery cell according to the charging capacity at 3.0V and 3.3V, and Table 2 shows the safe attenuation zone and diving zone of the battery cell according to the charging capacity at 3.0V-3.3V. It can be seen from Table 2 that the capacity threshold corresponding to the characteristic voltage section 3.0V-3.3V is 25Ah, and the charging capacity in the characteristic voltage section 3.0V-3.3V is greater than or equal to 25Ah, and the battery cell is in the safe attenuation zone, and the charging capacity in the characteristic voltage section 3.0V-3.3V is less than 25Ah, and the battery cell has a capacity dive.

[0083] Table 1

[0084] Characteristic voltage 3.0V 3.3V Safety attenuation strip y≥0.014x+1.32 y≥0.125x+15 Diving belt y＜3 y＜30

[0085] Table 2

[0086] Characteristic voltage range Safe decay zone Diving Area 3.0V-3.3V ≥25Ah <25Ah

[0087] For example, Figure 8 As shown, the battery cells with different SOH are charged, the first characteristic voltage is 3.0V, the second characteristic voltage is 3.4V, and the charging capacity of 3.0-3.4V is obtained. The capacity threshold corresponding to the charging capacity of 3.0-3.4V is 80Ah. Assuming that the charging capacity of a battery cell of 3.0-3.4V is 50Ah, which is less than 80Ah, it can be judged that the capacity of the battery cell has dropped.

[0088] Based on S501, it can be seen that when the battery cell is in an offline state, the solution of the embodiment of the present application determines the capacity diving identification result of the battery cell by comparing the charging capacity according to the characteristic voltage segment of the battery cell with the capacity threshold, and the battery cell that is experiencing capacity diving can be effectively identified by comparing with the threshold.

[0089] In some embodiments, when the battery cell is in an online state, since the state of the battery cell is relatively complex, in order to improve the accuracy of the battery cell capacity drop recognition result, the battery cell capacity drop detection result should be evaluated based on multiple above-mentioned characteristic voltage segment charging capacities. Therefore, multiple characteristic voltage segment charging capacities need to be obtained. Figure 4 ,like Fig. 9 As shown, the above method of obtaining the charging capacity of the cell in the characteristic voltage section includes:

[0090] S901. Charge the battery cell from a starting characteristic voltage to a target characteristic voltage in a constant current charging manner, and obtain capacities corresponding to a plurality of characteristic voltages between the starting characteristic voltage and the target characteristic voltage.

[0091] Optionally, before charging the battery cell from the initial characteristic voltage to the target characteristic voltage in a constant current charging manner, the battery cell may be discharged to the initial characteristic voltage in a constant current discharging manner.

[0092] For example, taking a retired lithium iron phosphate battery cell with an initial capacity of 270Ah as an example, when the battery cell is in an online state, the retired batteries with different SOHs are discharged to 2.5V at a constant current of ≤1C, and then charged to 3.8V at the same rate. When the battery cell is in an offline state, the retired batteries with different SOHs are discharged to 2.5V at a constant current of 80A, and then charged to 3.8V at a constant current of 80A.

[0093] It should be understood that the first voltage platform is a voltage stable interval that the battery first reaches during the charge and discharge process. This interval usually corresponds to a certain specific electrochemical reaction occurring inside the battery. The second voltage platform is another voltage stable interval that the battery reaches after the first voltage platform during the charge and discharge process. This interval usually corresponds to another specific electrochemical reaction occurring inside the battery. In some special cases, the battery may exhibit three or more voltage platforms. The third voltage platform usually corresponds to a more complex electrochemical reaction process inside the battery.

[0094] Therefore, when determining multiple characteristic voltages from the starting characteristic voltage to the target characteristic voltage, it should be ensured as much as possible that the multiple characteristic voltages are distributed within multiple voltage platform intervals, thereby improving the accuracy of the capacity diving identification result.

[0095] For example, Fig.10 As shown, the selected characteristic voltages are: 3.0V, 3.2V, 3.3V, 3.35V, and 3.4V, among which 3.0V and 3.2V are at the charging start end before the first voltage platform, 3.3V and 3.35V are in the voltage rising area between the first and second voltage platforms, and 3.4V is in the voltage identification area between the second and third voltage platforms.

[0096] S902: Determine the charging capacity in the characteristic voltage segment based on the capacities corresponding to the multiple characteristic voltages.

[0097] Optionally, the capacities corresponding to any two characteristic voltages among the multiple characteristic voltages are subtracted from each other to obtain multiple characteristic voltage segment charging capacities. For example, there are N characteristic voltage segment charging capacities, and the N characteristic voltage segment charging capacities correspond to different characteristic voltage segments, and N is a positive integer.

[0098] For example, the characteristic voltages 3.0V, 3.2V, 3.3V, 3.35V, and 3.4V correspond to capacities Q1, Q2, Q3, Q4, and Q5, respectively. It can be obtained that the characteristic voltage section charging capacity corresponding to the characteristic voltages 3.0V and 3.2V is ΔQ 12 =Q2-Q1, and so on, the characteristic voltage segment charging capacity corresponding to any remaining two characteristic voltages can be obtained.

[0099] Furthermore, Tables 3 and 4 can be obtained. Table 3 shows the safe attenuation band and diving band of the battery cell determined according to the charging capacity at 3.0V, 3.2V, 3.3V, 3.35V, and 3.4V. Table 4 shows the safe attenuation zone and diving zone of the battery cell determined according to the charging capacity in the characteristic voltage segment.

[0100] Table 3

[0101]

[0102] Table 4

[0103] Characteristic voltage range Safe decay zone Diving Area 3.0-3.2V ≥7Ah <7Ah 3.0-3.3V ≥25Ah <25Ah 3.0-3.35V ≥50Ah <50Ah 3.0-3.4V ≥100Ah <100Ah 3.2-3.3V ≥22.5Ah <22.5Ah 3.2-3.35V ≥40Ah <40Ah 3.2-3.4V ≥100Ah <100Ah 3.3-3.35V ≥18Ah <18Ah 3.3-3.4V ≥80Ah <80Ah 3.35-3.4V ≥55Ah <55Ah

[0104] Based on S901-S902, it can be seen that the solution of the embodiment of the present application obtains the capacities corresponding to multiple characteristic voltages to obtain the charging capacities in multiple characteristic voltage segments, so that the battery cell can identify whether a capacity dive occurs based on the charging capacities in the multiple characteristic voltage segments, thereby improving the accuracy of the battery cell capacity dive identification results.

[0105] In some embodiments, when the battery cell is in an online state, since the state of the battery cell is relatively complex, in order to improve the accuracy of the capacity diving recognition result of the battery cell, the final capacity diving recognition result of the battery cell should be determined based on the capacity diving recognition results corresponding to the charging capacity of multiple characteristic voltage segments. Figure 4 , Fig. 9 and Fig.11 ,like Fig.11 As shown, the above-mentioned determination of the capacity drop recognition result of the battery cell based on the charging capacity in the characteristic voltage section of the battery cell includes:

[0106] S1101. Based on N characteristic voltage segment charging capacities, determine preliminary capacity diving identification results corresponding to each of the N characteristic voltage segment charging capacities.

[0107] For example, Fig.10 As shown, the characteristic voltages are 3.0V, 3.2V, 3.3V, 3.35V, and 3.4V, the characteristic voltage segments may include 10, and the preliminary capacity diving identification results corresponding to the characteristic voltage segment charging capacity also include 10. The characteristic voltage segment charging capacity of the normal battery cell is greater than the characteristic voltage segment charging capacity of the diving battery cell.

[0108] Among them, based on the N characteristic voltage segment charging capacities, determining the preliminary capacity diving recognition results corresponding to the N characteristic voltage segment charging capacities can refer to the process of determining the capacity diving recognition results of the battery cells in S501, which will not be repeated here.

[0109] For example, Fig.12 As shown, Fig.12 The charging capacities of the characteristic voltage sections of cell 1 at 3.0-3.35V, 3.0-3.4V, and 3.35-3.4V are 12.9Ah, 41.2Ah, and 28.3Ah, respectively, all of which are less than their corresponding thresholds. Therefore, the preliminary capacity diving identification results corresponding to the characteristic voltage sections of cell 1 at 3.0-3.35V, 3.0-3.4V, and 3.35-3.4V are all indicating that capacity diving has occurred.

[0110] S1102 , obtaining a capacity diving recognition result of the battery cell based on the preliminary capacity diving recognition results corresponding to the charging capacities in the N characteristic voltage segments.

[0111] In some embodiments, when the capacity of a battery cell drops, the capacity drop identification result corresponding to each characteristic voltage segment of the battery cell should indicate that the capacity of the battery cell drops.

[0112] In other embodiments, when among the preliminary capacity diving identification results corresponding to the charging capacities in N characteristic voltage segments, there are M preliminary capacity diving identification results corresponding to the charging capacities in the characteristic voltage segments indicating the existence of a capacity diving phenomenon, it is considered that the capacity diving identification result of the battery cell is that the capacity diving phenomenon exists in the battery cell, wherein M is a preset value.

[0113] In other embodiments, the characteristic voltage points are distributed on multiple voltage platforms, and the electrochemical reactions corresponding to each voltage platform are different, and the effects on the cell capacity dive are also different, so the influence of different characteristic voltage segments on the capacity dive identification results is also different, so when evaluating the cell capacity dive identification results, the cell capacity dive identification results can be comprehensively evaluated based on the influence of each characteristic voltage segment. Among them, the influence of each characteristic voltage segment can be reflected in the form of a weight, that is, a weighted calculation can be performed based on the weight of each characteristic voltage segment and the corresponding preliminary capacity dive identification results, and the calculation result is compared with the preset threshold. If it is greater than the preset threshold, it is determined that the cell capacity dive identification result is that there is a capacity dive phenomenon.

[0114] Furthermore, the battery system is composed of a plurality of battery cells connected in series and parallel. The method of the embodiment of the present application can accurately identify which battery cells in the retired batteries have a capacity drop phenomenon.

[0115] For example, Fig.12 As shown, the battery includes 8 cells, wherein the charging capacity of each cell in the characteristic voltage segment can be obtained. Taking cell 1 as an example, the preliminary capacity diving recognition results corresponding to the characteristic voltage segments 3.0-3.35V, 3.0-3.4V, and 3.35-3.4V of cell 1 are all that the capacity diving phenomenon exists. Therefore, the capacity diving recognition result of cell 1 is that the capacity diving phenomenon exists.

[0116] Based on S1101-S1102, it can be seen that the solution of the embodiment of the present application determines multiple preliminary capacity diving identification results by charging the capacity according to multiple characteristic voltage segments when the battery cell is in an online state, and then comprehensively evaluates whether the battery cell has a capacity diving based on the multiple preliminary capacity diving identification results, thereby improving the accuracy of the capacity diving identification result of the battery cell.

[0117] In some embodiments, after the battery cell capacity dive occurs, since the severity and impact of the battery cell capacity dive are different, in order to facilitate the management of the battery cell, it is necessary to classify the severity of the battery cell capacity dive. Figure 4 and Fig.13 ,like Fig.13 As shown, the above method also includes:

[0118] S1301. When it is identified that a capacity dive phenomenon exists in a battery cell, the capacity dive risk level of the battery cell is determined based on the charging capacity in a characteristic voltage range of the battery cell.

[0119] Optionally, the capacity diving risk level of the battery cell is determined based on the size relationship between the charging capacity of the characteristic voltage segment of the battery cell and the risk thresholds corresponding to different capacity diving risk levels. The severity corresponding to different capacity diving risk levels is different. By dividing the capacity diving risks of the battery cell into different levels, hierarchical management of the battery cell can be achieved to ensure the safe, stable and efficient operation of the battery system.

[0120] Among them, in the embodiment of the present application, the capacity diving risk level of the battery cell is determined according to the capacity diving amplitude of the battery cell, that is, the charging capacity of the battery cell in the characteristic voltage segment. Furthermore, the capacity diving risk level of the battery cell can be comprehensively evaluated in combination with the capacity diving speed of the battery cell and the capacity diving frequency of the battery cell.

[0121] It should be noted that the capacity diving risk level includes two levels, namely the first level and the second level, and the risk level of the first level is lower than that of the second level.

[0122] Exemplarily, Table 5 is and Table 6 is. As shown in Tables 5 and 6, the risk threshold corresponding to the first level is the first capacity diving warning point, and the risk threshold corresponding to the second level is the second capacity diving warning point.

[0123] Table 5

[0124]

[0125] Table 6

[0126]

[0127]

[0128] Based on S1301, it can be seen that the solution of the embodiment of the present application can achieve hierarchical management of battery cells and ensure safe, stable and efficient operation of the battery system by determining the capacity diving risk level of the battery cell according to the charging capacity in the characteristic voltage segment of the battery cell.

[0129] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to achieve the above functions, the detection device for the cell capacity diving includes hardware structures and / or software modules corresponding to the execution of each function. It should be easy for those skilled in the art to realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0130] The embodiment of the present application can divide the functional modules of the detection device for battery cell capacity diving according to the above method. For example, the detection device for battery cell capacity diving can include various functional modules corresponding to various functional divisions, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0131] Fig.14 A possible structural schematic diagram of the detection device for battery cell capacity drop involved in the above embodiment is shown. Fig.14 The battery cell capacity drop detection device 1400 includes: an acquisition unit 1401 and a processing unit 1402.

[0132] The acquisition unit 1401 is used to acquire the charging capacity of the battery cell in a characteristic voltage segment.

[0133] The processing unit 1402 is used to determine a capacity diving recognition result of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell, where the capacity diving recognition result is used to indicate whether the battery cell has a capacity diving phenomenon.

[0134] In some embodiments, the charging capacity in the above-mentioned characteristic voltage segment is the difference between the capacity of the battery cell at the first characteristic voltage and the capacity at the second characteristic voltage, and the first characteristic voltage and the second characteristic voltage are the voltages at both ends of the characteristic voltage segment.

[0135] In some embodiments, the processing unit 1402 is specifically configured to determine a capacity drop recognition result of the battery cell based on a size relationship between a charging capacity in a characteristic voltage section and a capacity threshold.

[0136] In some embodiments, the processing unit 1402 is specifically used to determine that the capacity diving recognition result indicates that the battery cell has a capacity diving phenomenon when the charged capacity in the characteristic voltage section is less than the capacity threshold; or, when the charged capacity in the characteristic voltage section is greater than or equal to the capacity threshold, determine that the capacity diving recognition result indicates that the battery cell does not have a capacity diving phenomenon.

[0137] In some embodiments, the capacity threshold is based on a mapping relationship between the charging capacity in a characteristic voltage segment and the number of cycles.

[0138] In some embodiments, the characteristic voltage segment charging capacities are N, the N characteristic voltage segment charging capacities correspond to different characteristic voltage segments, and N is a positive integer; the processing unit is specifically used to determine the preliminary capacity diving recognition results corresponding to the N characteristic voltage segment charging capacities based on the N characteristic voltage segment charging capacities; based on the preliminary capacity diving recognition results corresponding to the N characteristic voltage segment charging capacities, obtain the capacity diving recognition result of the battery cell.

[0139] In some embodiments, the acquisition unit 1401 is specifically used to charge the battery cell from a starting characteristic voltage to a target characteristic voltage in a constant current charging manner, and obtain the capacities corresponding to each of multiple characteristic voltages between the starting characteristic voltage and the target characteristic voltage; based on the capacities corresponding to each of the multiple characteristic voltages, determine the charging capacity in the characteristic voltage segment.

[0140] In some embodiments, the acquisition unit 1401 is further configured to discharge the battery cell to a starting characteristic voltage in a constant current discharge manner.

[0141] In some embodiments, the processing unit 1402 is further configured to determine the capacity diving risk level of the battery cell based on the charging capacity in the characteristic voltage range of the battery cell when it is identified that the battery cell has a capacity diving phenomenon.

[0142] In some embodiments, the processing unit 1402 is specifically configured to determine the capacity diving risk level of the battery cell based on the relationship between the charging capacity in the characteristic voltage segment of the battery cell and the risk thresholds corresponding to different capacity diving risk levels.

[0143] In some embodiments, the processing unit 1402 is further configured to issue a warning message when identifying that the capacity of the battery cell has dropped.

[0144] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0145] Fig.15 This is a schematic diagram of the structure of a device provided in an embodiment of the present application. Fig.15As shown, device 1500 includes but is not limited to: a processor 1501 and a memory 1502.

[0146] The memory 1502 is used to store executable instructions of the processor 1501. It can be understood that the processor 1501 is configured to execute instructions to implement the group fault detection method in the above embodiment.

[0147] It should be noted that those skilled in the art can understand that Fig.15 The device structure shown in the figure does not constitute a limitation on the device, and the device may include Fig.15 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0148] The processor 1501 is the control center of the device. It uses various interfaces and lines to connect various parts of the entire device. By running or executing software programs and / or modules stored in the memory 1502 and calling data stored in the memory 1502, it executes various functions of the device and processes data, thereby monitoring the device as a whole. The processor 1501 may include one or more processing units. Optionally, the processor 1501 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 1501.

[0149] The memory 1502 may be used to store software programs and various data. The memory 1502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one functional module (such as a determination unit, a processing unit, etc.), etc. In addition, the memory 1502 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0150] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 1502 including instructions, and the above instructions can be executed by the processor 1501 of the device 1500 to implement the method in the above embodiment.

[0151] In actual implementation, Fig.14 The acquisition unit 1401 and the processing unit 1402 in the embodiment can both be Fig.15 The processor 1501 in the embodiment calls the computer program stored in the memory 1502 to implement. The specific execution process can refer to the description of the method part in the above embodiment, which will not be repeated here.

[0152] Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0153] In an exemplary embodiment, the present application also provides a vehicle, comprising the above-mentioned electronic device and a computer-readable storage medium.

[0154] In an exemplary embodiment, the present application also provides a computer program product including one or more instructions, and the one or more instructions can be executed by the processor 1501 of the device to complete the method in the above embodiment.

[0155] It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the device, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

[0156] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0157] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0159] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0160] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the full classification part or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute the full classification part or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or CD and other media that can store program code.

[0161] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for detecting a drop in battery cell capacity, characterized in that: include: Obtaining the charging capacity of the battery cell in a characteristic voltage segment; Based on the charging capacity in the characteristic voltage section of the battery cell, a capacity diving recognition result of the battery cell is determined, and the capacity diving recognition result is used to indicate whether the capacity diving phenomenon occurs in the battery cell.

2. The method according to claim 1, characterized in that The charging capacity in the characteristic voltage segment is the difference between the capacity of the battery cell at a first characteristic voltage and the capacity at a second characteristic voltage, and the first characteristic voltage and the second characteristic voltage are the voltages at both ends of the characteristic voltage segment.

3. The method according to claim 1, characterized in that The determining the capacity drop recognition result of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell comprises: Based on the size relationship between the charging capacity in the characteristic voltage section and the capacity threshold, a capacity drop identification result of the battery cell is determined.

4. The method according to claim 3, characterized in that The determining the capacity drop recognition result of the battery cell based on the size relationship between the charging capacity in the characteristic voltage section and the capacity threshold value includes: When the charged capacity in the characteristic voltage section is less than the capacity threshold, determining that the capacity diving recognition result indicates that the battery cell has a capacity diving phenomenon; or, When the charged capacity in the characteristic voltage section is greater than or equal to the capacity threshold, determining that the capacity diving identification result indicates that there is no capacity diving phenomenon in the battery cell.

5. The method according to claim 3, characterized in that: The capacity threshold is based on the mapping relationship between the charging capacity and the number of cycles in the characteristic voltage segment.

6. The method according to claim 1, characterized in that The characteristic voltage segment charging capacities are N, the N characteristic voltage segment charging capacities correspond to different characteristic voltage segments, and N is a positive integer; and determining the capacity diving recognition result of the battery cell based on the characteristic voltage segment charging capacities of the battery cell includes: Based on the N charging capacities of the characteristic voltage segments, determining the preliminary water diving identification results corresponding to the N charging capacities of the characteristic voltage segments; Based on the preliminary capacity diving recognition results corresponding to the charging capacities in the N characteristic voltage sections, a capacity diving recognition result of the battery cell is obtained.

7. The method according to claim 1, characterized in that The obtaining the charging capacity of the battery cell in the characteristic voltage section includes: Charging the battery cell from a starting characteristic voltage to a target characteristic voltage in a constant current charging manner, and obtaining capacities corresponding to a plurality of characteristic voltages between the starting characteristic voltage and the target characteristic voltage; The charging capacity in the characteristic voltage section is determined based on the capacities corresponding to the multiple characteristic voltages.

8. The method according to claim 6, characterized in that Before charging the battery cell from the initial characteristic voltage to the target characteristic voltage in a constant current charging manner, the method further includes: The battery cell is discharged to the initial characteristic voltage in a constant current discharge mode.

9. The method according to claim 1, characterized in that: The method further comprises: When it is identified that the battery cell has a capacity diving phenomenon, the capacity diving risk level of the battery cell is determined based on the charging capacity in the characteristic voltage section of the battery cell.

10. The method according to claim 9, characterized in that The determining the capacity diving risk level of the battery cell based on the charging capacity in the characteristic voltage segment of the battery cell includes: The capacity diving risk level of the battery cell is determined based on the size relationship between the charging capacity in the characteristic voltage section of the battery cell and the risk thresholds corresponding to different diving risk levels.

11. The method according to claim 1, characterized in that: The method further comprises: When it is identified that the battery cell has a capacity drop phenomenon, an early warning message is issued.

12. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 11.

13. A computer-readable storage medium, characterized in that: When the computer-executable instructions stored in the computer-readable storage medium are executed by a processor of a device, the device is capable of performing the method according to any one of claims 1 to 11.

14. A vehicle, characterized in that: include: The electronic device as claimed in claim 12, or the computer-readable storage medium as claimed in claim 13.

15. A computer program product, comprising computer instructions, characterized in that: When the computer instructions are executed on a processor of a device, the device is enabled to perform the method according to any one of claims 1 to 11.

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