Battery capacity early warning method, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a battery capacity early warning method, electronic equipment and a storage medium. The method comprises the following steps: acquiring expansive force generated by a target battery in a target charge state and charge-discharge cycle times of the target battery when the expansive force is generated; obtaining a first association relationship, wherein the first association relationship is an association relationship between the charge-discharge cycle times and the corresponding expansive force; determining an expansion force change rate corresponding to each charge-discharge cycle index according to the first association relationship; and carrying out battery capacity diving early warning on the battery in the target charge state based on the expansion force change rate and the charge-discharge cycle times. Therefore, the change of the expansion force caused by the electrochemical change in the battery in the fixed state of charge is used as an evaluation index of the battery capacity diving, so that the battery capacity diving phenomenon can be accurately predicted based on a battery aging mechanism, and meanwhile, the realization difficulty of early warning of the battery capacity diving can be reduced; and the battery capacity diving early warning efficiency is further improved.

Description

Technical Field

[0001] This application relates to the field of battery technology, specifically to a battery capacity warning method, electronic device, and storage medium. Background Technology

[0002] Battery capacity drop refers to the phenomenon of a sudden decrease in battery capacity. In energy storage systems, if a battery cell experiences a capacity drop, it can lead to problems such as lithium dendrites and thickening of the solid electrolyte interphase (SEI) film inside the cell. This can easily cause safety hazards such as local overheating and short circuits in the battery, requiring timely warnings for battery capacity drop.

[0003] Existing battery capacity warning methods often employ machine learning to predict battery health or use capacity increment analysis to issue warnings of capacity drops. However, these methods are difficult to implement in practice and cannot accurately predict battery capacity drops, resulting in low efficiency in battery capacity drop warnings. Summary of the Invention

[0004] This application provides a battery capacity early warning method, electronic device, and storage medium, which can accurately predict battery capacity drop based on battery aging mechanism, reduce the difficulty of implementing battery capacity drop early warning, and further improve the efficiency of battery capacity drop early warning.

[0005] This application provides a battery capacity warning method, including: The expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated are obtained; Obtain a first correlation, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; Based on the first correlation, determine the rate of change of expansion force corresponding to each charge-discharge cycle number; Based on the expansion force change rate and the number of charge-discharge cycles, a battery capacity drop warning is issued for the battery under the target state of charge.

[0006] In one embodiment, the step of providing a battery capacity drop warning based on the expansion force change rate and the number of charge-discharge cycles includes: When both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions, a battery capacity drop warning is issued for the target battery in the target state of charge.

[0007] In this way, when the rate of change of expansion force and the number of charge-discharge cycles both meet the corresponding preset conditions, it can be determined that the battery under the target state of charge may experience a drop in battery capacity. This allows for early warning of battery capacity drop in the target battery under the target state of charge, thereby improving the efficiency of battery capacity drop warning.

[0008] In one embodiment, the step of providing a battery capacity drop warning for the target battery in the target state of charge when both the rate of change of expansion force and the number of charge-discharge cycles meet corresponding preset conditions includes: If the number of charge-discharge cycles is within a preset range and the rate of change of expansion force corresponding to the number of charge-discharge cycles is greater than a preset rate of change threshold, a battery capacity drop warning is issued for the target battery in the target state of charge.

[0009] Thus, by predicting the potential battery capacity drop when the number of charge-discharge cycles is within a preset range and the rate of change of expansion force corresponding to the number of charge-discharge cycles is greater than a preset rate of change threshold, accurate prediction of battery capacity drop can be achieved based on the battery aging mechanism. At the same time, by providing battery capacity drop warnings based on the battery aging mechanism, the operational difficulty of battery capacity drop warnings can be reduced, further improving the efficiency of battery capacity drop warnings.

[0010] In one embodiment, the step of providing a battery capacity drop warning based on the expansion force change rate and the number of charge-discharge cycles includes: Based on the expansion force change rate and the number of charge-discharge cycles, a target expansion force change rate is determined, which is used to indicate that the target battery is about to experience a drop in battery capacity. Obtain the current charge-discharge cycle count of the battery to be predicted under the target state of charge, wherein the battery type of the battery to be predicted is the same as the battery type of the target battery; Based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number, a battery capacity drop warning is issued for the battery to be predicted.

[0011] Thus, by determining the target expansion force change rate to indicate a drop in battery capacity based on the expansion force change rate of the target battery and the number of charge-discharge cycles, a target expansion force change rate can be determined to indicate a drop in battery capacity. This allows for early warning of battery capacity drop in the predicted battery when the current number of charge-discharge cycles of the predicted battery matches the target number of charge-discharge cycles corresponding to the target expansion force change rate. This improves the efficiency of battery capacity drop warning.

[0012] In one embodiment, determining the target expansion force change rate based on the expansion force change rate and the number of charge-discharge cycles includes: When the number of charge-discharge cycles is within the preset number of cycles, the expansion force change rate that is greater than the preset change rate threshold is determined as the target expansion force change rate, or the expansion force change rate that is greater than the preset change rate threshold and is the maximum value is determined as the target expansion force change rate.

[0013] Thus, by determining the target expansion force change rate when the number of charge-discharge cycles is within a preset cycle range and the expansion force change rate is greater than a preset change rate threshold, the battery capacity drop phenomenon can be accurately predicted based on the battery aging mechanism, thereby improving the efficiency of battery capacity drop warning.

[0014] In one embodiment, the step of providing a battery capacity drop warning for the battery to be predicted based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number includes: If the difference between the current number of charge-discharge cycles and the target number of charge-discharge cycles corresponding to the target rate of change of expansion force is within a first preset range, then the first warning method is used to issue a battery capacity drop warning for the battery to be predicted. If the difference between the current number of charge-discharge cycles and the number of target charge-discharge cycles corresponding to the target rate of change of expansion force is within the range of the second preset number of cycles, then the second early warning method is used to issue a battery capacity drop warning for the battery to be predicted. Wherein, the number of times within the first preset number range is greater than the number of times within the second preset number range, and the warning intensity of the first warning method is less than the warning intensity of the second warning method.

[0015] Thus, by setting different battery capacity drop warning methods for the battery to be predicted based on the difference between the current charge-discharge cycle number of the battery to be predicted and the target charge-discharge cycle number corresponding to the target expansion force change rate, battery capacity drop warnings can be carried out efficiently and accurately.

[0016] In one embodiment, determining the rate of change of expansion force corresponding to each of the charge-discharge cycles based on the first correlation includes: Based on the first correlation, the curve constructed based on the number of charge-discharge cycles and the expansion force is differentiated to obtain the rate of change of expansion force corresponding to each number of charge-discharge cycles.

[0017] Thus, by differentiating the curves constructed based on the number of charge-discharge cycles and the expansion force, the rate of change of expansion force corresponding to each charge-discharge cycle can be obtained. Based on the rate of change of expansion force, information characterizing the battery capacity drop problem can be quickly and conveniently determined, thereby enabling early prediction of battery capacity drop and improving the efficiency of battery capacity drop early warning.

[0018] In one embodiment, the first association is constructed through the following steps: Based on a preset window, the expansion force corresponding to the number of charge-discharge cycles is smoothed to obtain the smoothed expansion force corresponding to the number of charge-discharge cycles. Based on the number of charge-discharge cycles and the corresponding smoothed expansion force, a curve fitting process is performed to obtain the first correlation relationship.

[0019] Thus, by using a window smoothing algorithm to smooth the expansion force data, noise or interference data can be eliminated, thereby improving the accuracy of battery capacity drop prediction.

[0020] Accordingly, this application also provides a battery capacity warning device, including: The acquisition unit is used to acquire the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; A construction unit is used to obtain a first correlation relationship, wherein the first correlation relationship is the correlation relationship between the number of charge-discharge cycles and the corresponding expansion force; The determining unit is configured to determine the rate of change of expansion force corresponding to each of the charge-discharge cycle numbers based on the first correlation relationship; The early warning unit is used to provide an early warning of battery capacity drop based on the expansion force change rate and the number of charge-discharge cycles.

[0021] Furthermore, embodiments of this application also provide an electronic device, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of any of the battery capacity warning methods provided in embodiments of this application.

[0022] Furthermore, embodiments of this application also provide a computer-readable storage medium including a computer program, which, when run on an electronic device, causes the electronic device to perform the steps of any of the battery capacity warning methods provided in embodiments of this application.

[0023] Furthermore, this application also provides a computer program product, including a computer program stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, causing the electronic device to perform the steps of any of the battery capacity warning methods provided in this application.

[0024] This application embodiment obtains the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; obtains a first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determines the expansion force change rate corresponding to each charge-discharge cycle based on the first correlation relationship; and provides a battery capacity drop warning for the battery under the target state of charge based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles. Thus, by determining the expansion force change rate corresponding to each charge-discharge cycle based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, a battery capacity drop warning can be provided for the battery under the target state of charge. This allows the change in expansion force caused by internal electrochemical changes in the battery under a fixed state of charge to be used as an evaluation index for battery capacity drop, achieving accurate prediction of battery capacity drop based on battery aging mechanisms. Simultaneously, it reduces the difficulty of implementing battery capacity drop warnings and further improves the efficiency of battery capacity drop warnings. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram illustrating an implementation scenario of a battery capacity early warning method provided in this application embodiment; Figure 2 This is a flowchart illustrating a battery capacity warning method provided in an embodiment of this application; Figure 3a This is a schematic diagram illustrating the relationship between different battery capacity warning methods provided in the embodiments of this application. Figure 3b This is a schematic diagram illustrating the determination of the rate of change of expansion force in a battery capacity early warning method provided in this application embodiment; Figure 3c This is a schematic diagram of a specific process for a battery capacity early warning method provided in the embodiments of this application; Figure 4 This is a schematic diagram of the battery capacity warning device provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0028] Furthermore, in the description of the embodiments of this application, the terms "first," "second," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0029] Battery capacity drop refers to the phenomenon of a sudden decrease in battery capacity. In energy storage systems, if a battery cell experiences a capacity drop, it can lead to problems such as lithium dendrite formation and SEI film thickening within the cell, potentially causing safety hazards like localized overheating and short circuits. Timely capacity drop warnings are crucial. Existing battery capacity warning methods often employ machine learning to predict battery health or capacity increment analysis. However, these methods require processing large amounts of data, making practical implementation difficult, and they cannot accurately predict battery capacity drops in advance, resulting in low efficiency in battery capacity drop warnings.

[0030] To address the aforementioned technical problems in the prior art, this application provides a battery capacity early warning method. By determining the rate of change of expansion force corresponding to each charge-discharge cycle based on the expansion force generated by the battery under a target state of charge and the corresponding number of charge-discharge cycles, a battery capacity drop warning is provided based on the rate of change of expansion force corresponding to each charge-discharge cycle. This method uses the change in expansion force caused by internal electrochemical changes under a fixed state of charge as an evaluation index for battery capacity drop, enabling accurate prediction of battery capacity drop based on battery aging mechanisms. Simultaneously, it reduces the difficulty of implementing battery capacity drop warnings and further improves their efficiency.

[0031] This application provides a battery capacity warning method, an electronic device, and a storage medium. The battery capacity warning device can be integrated into an electronic device, which can be a server, a terminal, or other similar device.

[0032] The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery network (CDN) acceleration services, and big data and artificial intelligence platforms. The terminal can include, but is not limited to, mobile phones, computers, smart voice interaction devices, smart home appliances, vehicle terminals, and aircraft. The terminal and server can be directly or indirectly connected via wired or wireless communication, which is not limited herein.

[0033] Please see Figure 1 Taking the integration of battery capacity warning devices into electronic devices as an example, Figure 1 This is a schematic diagram of an implementation scenario for the battery capacity warning method provided in this application. The electronic device can be a server or a terminal. The electronic device can obtain the expansion force generated by the target battery in the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; obtain a first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determine the rate of change of expansion force corresponding to each number of charge-discharge cycles based on the first correlation relationship; and provide a battery capacity drop warning for the battery in the target state of charge based on the rate of change of expansion force and the number of charge-discharge cycles.

[0034] It should be noted that, Figure 1 The schematic diagram illustrating the implementation environment of the battery capacity warning method is merely an example. The implementation environment of the battery capacity warning method described in this application is intended to more clearly illustrate the technical solutions of this application and does not constitute a limitation on the technical solutions provided in this application. Those skilled in the art will recognize that, with the evolution of data processing and the emergence of new business scenarios, the technical solutions provided in this application are equally applicable to similar technical problems.

[0035] The solutions provided in this application are specifically illustrated through the following embodiments. It should be noted that the order of description of the following embodiments is not intended to limit the preferred order of the embodiments.

[0036] This embodiment will be described from the perspective of a battery capacity warning device, which can be integrated into an electronic device, such as a server or a terminal, and this application does not impose any restrictions on it.

[0037] Please see Figure 2 , Figure 2 This is a flowchart illustrating the battery capacity warning method provided in an embodiment of this application. The battery capacity warning method includes: In step 101, the expansion force generated by the target battery under the target charged state and the number of charge-discharge cycles of the target battery when the expansion force is generated are obtained.

[0038] The target battery can be a battery used to collect expansion force data, and can take the form of a single battery cell, battery pack, or battery cell. The target state of charge (SOC) can be the state of charge (SOC) at which battery capacity drop warnings are needed, such as a fully charged state (100% SOC) or 80% SOC. The expansion force data can include the expansion force and the number of charge-discharge cycles at which the target battery generates this expansion force. The expansion force can be the mechanical stress generated by the volume change due to internal chemical reactions during the charging and discharging process of the battery. The number of charge-discharge cycles can be the cumulative number of charge-discharge cycles performed by the target battery.

[0039] In step 102, the first association relationship is obtained.

[0040] The first correlation is the relationship between the number of charge-discharge cycles and the corresponding expansion force.

[0041] The first correlation can be information indicating the correlation between the number of charge-discharge cycles and the corresponding expansion force. For example, the first correlation can include a curve relationship fitted based on the number of charge-discharge cycles and the corresponding expansion force, or a functional relationship constructed based on the number of charge-discharge cycles and the corresponding expansion force.

[0042] There are several ways to construct the first correlation based on the number of charge-discharge cycles and the corresponding expansion force. For example, a curve can be constructed based on the number of charge-discharge cycles and the corresponding expansion force to obtain the first correlation between the number of charge-discharge cycles and the corresponding expansion force.

[0043] In one embodiment, the latest charge-discharge cycle count and corresponding expansion force can be collected in real time during the use of the target battery. A first correlation relationship can be constructed based on the accumulated charge-discharge cycle count and corresponding expansion force. Alternatively, the first correlation relationship constructed based on the historically collected charge-discharge cycle count and corresponding expansion force can be updated based on the latest collected charge-discharge cycle count and corresponding expansion force. This results in the latest first correlation relationship used to indicate the correlation between the charge-discharge cycle count and the corresponding expansion force.

[0044] Optionally, there are multiple ways to construct the first correlation. For example, the expansion force corresponding to the number of charge-discharge cycles can be smoothed based on a preset window to obtain the smoothed expansion force corresponding to the number of charge-discharge cycles; or the first correlation can be obtained by curve fitting based on the number of charge-discharge cycles and the corresponding smoothed expansion force.

[0045] The preset window can be a sliding window set based on a sliding window smoothing algorithm. The window size (w) of the preset window can be determined according to the number of charge-discharge cycles, the number of corresponding expansion force data pairs, and the smoothing requirements. Therefore, by smoothing the expansion force corresponding to the number of charge-discharge cycles using the preset window, noise or short-term fluctuations in the expansion force data can be eliminated. This allows the smoothed expansion force data to more accurately reflect the characteristics of the expansion force change trend, further improving the accuracy of battery capacity reduction prediction.

[0046] For example, please refer to Figure 3a , Figure 3a This is a schematic diagram of the correlation between a battery capacity warning method provided in this application embodiment. The number of charge-discharge cycles can be used as the abscissa (x) and the expansion force as the ordinate (y). A curve can be constructed using the expansion force corresponding to each charge-discharge cycle number collected from the target battery to obtain the original curve. Then, in order to eliminate noise or short-term fluctuations in the expansion force data, a preset window can be used to smooth the expansion force corresponding to the number of charge-discharge cycles to obtain a smooth curve. In this way, a first correlation relationship can be obtained to indicate the correlation between the number of charge-discharge cycles and the expansion force.

[0047] In step 103, the rate of change of expansion force corresponding to each charge-discharge cycle is determined based on the first correlation.

[0048] The rate of change of expansion force can be used to characterize the rate of change of expansion force.

[0049] There are multiple ways to determine the rate of change of expansion force corresponding to each charge-discharge cycle number based on the first correlation. For example, the first correlation may include the correlation between the number of charge-discharge cycles and the expansion force. Based on the first correlation, the curve constructed based on the number of charge-discharge cycles and the expansion force can be differentiated to obtain the rate of change of expansion force corresponding to each charge-discharge cycle number.

[0050] For example, please refer to Figure 3b , Figure 3b This is a schematic diagram of the expansion force change rate determination method provided in the embodiments of this application for a battery capacity early warning method. It can perform differential processing on the curve constructed based on the number of charge-discharge cycles (x) and expansion force (y), and obtain the expansion force change rate corresponding to each number of charge-discharge cycles based on the curve differential result (dy / dx).

[0051] In step 104, based on the rate of change of expansion force and the number of charge-discharge cycles, a battery capacity drop warning is issued for the battery under the target state of charge.

[0052] The battery in the target state of charge can be the target battery or another battery of the same type as the target battery. Battery capacity drop refers to a sudden decrease in battery capacity. In energy storage systems, if a battery cell experiences a capacity drop, it can lead to problems such as lithium dendrite formation and SEI film thickening within the cell. These issues can easily cause safety hazards such as localized overheating and short circuits. Therefore, timely early warnings are necessary when a battery experiences or is about to experience a capacity drop.

[0053] As the number of charge-discharge cycles increases, the SEI film on the negative electrode surface of the battery continuously ruptures and regenerates during these cycles, consuming electrolyte and generating organic / inorganic compounds (such as Li₂CO₃ and LiF). This leads to an increase in film thickness, occupying internal battery space. Furthermore, the decomposition of the electrolyte at high voltage or high temperature (such as the oxidation of ester electrolytes) generates gases such as carbon dioxide (CO₂), hydrogen (H₂), and methane (CH₄) inside the battery. This gas accumulation causes increased internal pressure and bulging of the battery casing. As the battery ages, changes in its internal electrochemical state gradually alter its expansion force, which is closely related to battery capacity decay. Therefore, because batteries such as lithium iron phosphate exhibit a series of electrochemical interface changes within the cell before capacity degradation, such as gas generation and lithium metal deposition, excessive gas generation and lithium deposition can significantly alter the battery's expansion force. By analyzing the rate of change in battery expansion force, it is possible to accurately and proactively predict battery capacity degradation based on the internal aging mechanism, thus improving the accuracy of capacity degradation warnings.

[0054] There are several ways to issue a battery capacity drop warning based on the rate of change of expansion force and the number of charge-discharge cycles. For example, a battery capacity drop warning can be issued for a target battery in the target state of charge if both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions.

[0055] The preset condition can be used to determine whether the target battery has experienced or is about to experience a drop in battery capacity. For example, since a drop in battery capacity often occurs after a large number of charge-discharge cycles and causes a large change in expansion force, it can be determined that the target battery may be about to experience a drop in battery capacity when the rate of change in expansion force is large after a certain number of charge-discharge cycles.

[0056] Among them, when both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions, there are multiple ways to issue a battery capacity drop warning for the target battery in the target state of charge. For example, when the number of charge-discharge cycles is within the preset cycle number range and the rate of change of expansion force corresponding to the number of charge-discharge cycles is greater than the preset rate of change threshold, a battery capacity drop warning can be issued for the target battery in the target state of charge.

[0057] The preset cycle count range can be defined as the range of charge-discharge cycles required for the target battery to experience a capacity drop. This preset cycle count range can be determined based on empirical values ​​of the charge-discharge cycle counts required for various types of batteries to experience a capacity drop. For example, assuming that lithium iron phosphate batteries typically experience a capacity drop within the range of 3500 to 4500 charge-discharge cycles, then the corresponding preset cycle count range for lithium iron phosphate batteries can be 3500 to 4500 cycles. The preset rate of change threshold can be a threshold indicating the rate of change of expansion force that indicates a potential capacity drop in the target battery. This preset rate of change threshold can be determined based on empirical values ​​of the rate of change of expansion force required for various types of batteries to experience a capacity drop. For example, assuming that the rate of change of expansion force for lithium iron phosphate batteries under normal conditions is less than 0.3, then the corresponding preset rate of change threshold for lithium iron phosphate batteries can be 0.3.

[0058] For example, please continue to refer to Figure 3b When the expansion force change rate corresponding to the number of charge-discharge cycles within the preset cycle range (3500 to 4500 times) of the target battery is greater than the preset change rate threshold (0.3), it can indicate that the target battery is about to experience a drop in battery capacity. Therefore, it can provide a battery capacity drop warning for the target battery to avoid safety hazards caused by short circuits or overheating of the battery or other related components due to the drop in battery capacity.

[0059] In one embodiment, the battery capacity warning method provided in this application can be integrated into a battery management system (BMS). The BMS can collect the expansion force data of the target battery in real time, and then determine the expansion force change rate of the target battery corresponding to the current charge-discharge cycle number based on the collected expansion force data. By judging whether the charge-discharge cycle number and the corresponding expansion force change rate meet the corresponding preset conditions, it can be determined whether the target battery is about to experience a drop in battery capacity. This can achieve early warning of battery capacity drop, avoiding battery damage and other safety hazards caused by battery capacity drop.

[0060] Taking a lithium iron phosphate battery as an example, actual testing shows that the battery management system can determine the battery capacity drop warning when the target battery reaches 4170 charge-discharge cycles using the battery capacity warning method provided in this application embodiment. However, according to verification, the target battery actually experienced a battery capacity drop at 4240 cycles. Therefore, the battery capacity warning method provided in this application embodiment can provide a battery capacity drop warning 70 cycles in advance, enabling early prediction of battery capacity drop issues and further improving the efficiency of battery capacity drop warning.

[0061] Optionally, there are several other ways to provide early warning of battery capacity drop based on the rate of change of expansion force and the number of charge-discharge cycles. For example, a target rate of change of expansion force can be determined based on the rate of change of expansion force and the number of charge-discharge cycles. The target rate of change of expansion force is used to indicate that the target battery is about to experience a drop in battery capacity. The current number of charge-discharge cycles of the battery to be predicted in the target state of charge is obtained, wherein the battery type of the battery to be predicted is the same as that of the target battery. Based on the target number of charge-discharge cycles corresponding to the target rate of change of expansion force and the current number of charge-discharge cycles, an early warning of battery capacity drop is provided for the battery to be predicted.

[0062] The target expansion force change rate can be used to indicate a potential capacity drop in the target battery. If the expansion force change rate corresponding to the number of charge-discharge cycles of the target battery exhibits a target expansion force change rate, it indicates that the target battery may be about to experience a capacity drop. The current number of charge-discharge cycles can be the current number of charge-discharge cycles of the battery to be predicted, and the battery to be predicted can be of the same type as the target battery.

[0063] There are several ways to determine the target expansion force change rate based on the expansion force change rate and the number of charge-discharge cycles. For example, if the number of charge-discharge cycles is within a preset cycle number range, the expansion force change rate that is greater than a preset change rate threshold can be determined as the target expansion force change rate. Alternatively, the expansion force change rate that is greater than the preset change rate threshold and is the maximum value can be determined as the target expansion force change rate.

[0064] For example, please continue to refer to Figure 3b The expansion force change rate can be determined as the target expansion force change rate if it is greater than the preset change rate threshold of 0.3 among the expansion force change rates corresponding to the number of charge-discharge cycles in the range of 3500 to 4500. Alternatively, the maximum value of the expansion force change rate corresponding to the number of charge-discharge cycles in the range of 3500 to 4500 that is greater than the preset change rate threshold of 0.3 can be determined as the target expansion force change rate, i.e., the expansion force change rate corresponding to 4170 cycles.

[0065] Among them, based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number, there are multiple ways to issue a battery capacity drop warning for the battery to be predicted. For example, if the difference between the current charge-discharge cycle number and the target charge-discharge cycle number corresponding to the target expansion force change rate is within a first preset number range, the first warning method can be used to issue a battery capacity drop warning for the battery to be predicted; if the difference between the current charge-discharge cycle number and the target charge-discharge cycle number corresponding to the target expansion force change rate is within a second preset number range, the second warning method can be used to issue a battery capacity drop warning for the battery to be predicted.

[0066] Among them, the number of times within the first preset number range is greater than the number of times within the second preset number range, and the warning intensity of the first warning method is less than the warning intensity of the second warning method.

[0067] The target charge-discharge cycle count can be the charge-discharge cycle count corresponding to the target expansion force change rate. This value within the first preset range can be greater than the value within the second preset range. That is, when the difference between the current and target charge-discharge cycle counts is within the first preset range, it indicates a certain gap between the current and target charge-discharge cycle counts, and the battery is likely not yet experiencing a significant capacity drop. In this case, a weaker warning method can be executed. When the difference is within the second preset range, it indicates that the current and target charge-discharge cycle counts are relatively close, and the battery is likely about to experience a significant capacity drop. In this case, a stronger warning method can be executed. For example, the first preset range can be (5, 10], and the second preset range can be [0, 5]. The warning intensity of the first warning method is less than that of the second warning method. For example, the first warning method can be to sound an alarm, while the second warning method can be to sound an alarm while simultaneously flashing lights and providing vibration alerts. The specific warning method can be set according to the actual situation, and this application embodiment does not limit it.

[0068] Therefore, by using the expansion force data collected from the target battery, the rate of change of expansion force corresponding to each charge-discharge cycle of the target battery can be determined. Based on the number of charge-discharge cycles and the corresponding rate of change of expansion force, the target number of charge-discharge cycles at which the target battery will experience a significant capacity drop can be predicted in conjunction with the battery aging mechanism. Thus, based on the target number of charge-discharge cycles, a battery capacity drop warning can be issued for batteries of the same type as the target battery, achieving rapid and efficient battery capacity drop warning for the same type of battery and improving the efficiency of battery capacity drop warning.

[0069] In one specific embodiment, taking a lithium iron phosphate battery as an example, please refer to... Figure 3c , Figure 3c This is a schematic diagram of a specific process for a battery capacity early warning method provided in this application embodiment. The battery management system (BMS) can collect the expansion force of the target battery in a fully charged state using sensors. Then, the expansion force data can be smoothed using a sliding window smoothing method. The smoothed expansion force data corresponding to different charge-discharge cycle numbers are differentiated, and the maximum value of the expansion force change rate is extracted based on the differentiation result. The charge-discharge cycle number corresponding to the maximum value of the expansion force change rate is used as the cycle number for battery capacity drop warning, thereby realizing early warning of battery capacity drop.

[0070] Differential processing of expansion force data can directly reflect the instantaneous rate of change of the data (such as velocity and acceleration) through mathematical processing. This is suitable for analyzing the dynamic characteristics of non-stationary signals or time series. Based on the fact that electrochemical changes occur at the electrode / electrolyte interface before the battery capacity drops, and these changes are directly mapped to changes in battery expansion force, the change in battery expansion force can be used as a characterization quantity to provide early warning of battery capacity drops and avoid a series of safety problems and economic losses caused by battery capacity drops.

[0071] Existing battery capacity warning solutions mainly rely on machine learning to predict battery health or capacity increment analysis. However, these solutions cannot effectively prevent battery capacity drops in advance. Furthermore, they lack a clear understanding of the internal electrochemical processes of the battery and are time-consuming, resulting in poor efficiency in battery capacity drop warnings. Therefore, this application proposes a solution that uses the change in expansion force caused by electrochemical changes such as lithium plating and gas production under a fixed state of charge as an evaluation indicator for battery capacity drops. This allows for accurate prediction of battery capacity drops based on battery aging mechanisms. Simultaneously, by performing differential analysis on the curve constructed based on expansion force and the number of charge-discharge cycles, a battery capacity drop warning model is built, achieving highly efficient warnings. This solves the problem of traditional solutions failing to capture battery capacity drop information in advance, enabling warnings up to 70 cycles ahead. Moreover, this application requires less test data; only expansion force data under a single state of charge (SOC) is needed for early warning, significantly improving the efficiency of battery capacity drop warnings.

[0072] As described above, this embodiment of the application obtains the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; obtains a first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determines the rate of change of expansion force corresponding to each charge-discharge cycle based on the first correlation relationship; and provides a battery capacity drop warning for the battery under the target state of charge based on the rate of change of expansion force and the number of charge-discharge cycles. Thus, by determining the rate of change of expansion force corresponding to each charge-discharge cycle based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, a battery capacity drop warning is provided for the battery under the target state of charge. This allows the change in expansion force caused by internal electrochemical changes in the battery under a fixed state of charge to be used as an evaluation index for battery capacity drop, enabling accurate prediction of battery capacity drop based on battery aging mechanisms. Simultaneously, it reduces the difficulty of implementing battery capacity drop warnings and further improves the efficiency of battery capacity drop warnings.

[0073] To better implement the above methods, embodiments of the present invention also provide a battery capacity warning device, which can be integrated into an electronic device, such as a terminal or a server.

[0074] For example, such as Figure 4 The diagram shown is a structural schematic of a battery capacity warning device provided in an embodiment of this application. The battery capacity warning device may include an acquisition unit 201, a construction unit 202, a determination unit 203, and a warning unit 204, as follows: The acquisition unit 201 is used to acquire the expansion force generated by the target battery under the target charged state and the number of charge-discharge cycles of the target battery when the expansion force is generated; Construction unit 202 is used to obtain the first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; The determining unit 203 is used to determine the rate of change of expansion force corresponding to each charge-discharge cycle number based on the first correlation relationship; The early warning unit 204 is used to provide early warning of battery capacity drop based on the rate of change of expansion force and the number of charge-discharge cycles when the battery is in the target state of charge.

[0075] In one embodiment, the early warning unit 204 is used for: When the rate of change of expansion force and the number of charge-discharge cycles both meet the corresponding preset conditions, a battery capacity drop warning is issued for the target battery under the target state of charge.

[0076] In one embodiment, the above-mentioned method of providing a battery capacity drop warning for a target battery in a target state of charge when both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions is specifically used for: If the number of charge-discharge cycles is within the preset number of cycles and the rate of change of expansion force corresponding to the number of charge-discharge cycles is greater than the preset rate of change threshold, a battery capacity drop warning will be issued for the target battery under the target state of charge.

[0077] In one embodiment, the early warning unit 204 is used for: The target expansion force change rate is determined based on the expansion force change rate and the number of charge-discharge cycles. The target expansion force change rate is used to indicate that the target battery is about to experience a drop in battery capacity. Obtain the current charge-discharge cycle count of the battery to be predicted under the target state of charge, wherein the battery type of the battery to be predicted is the same as that of the target battery. Based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number, a battery capacity drop warning is issued for the battery to be predicted.

[0078] In one embodiment, the determination of the target expansion force change rate based on the expansion force change rate and the number of charge-discharge cycles is specifically used for: When the number of charge-discharge cycles is within the preset number of cycles, the expansion force change rate that is greater than the preset change rate threshold is determined as the target expansion force change rate, or the expansion force change rate that is greater than the preset change rate threshold and is the maximum value is determined as the target expansion force change rate.

[0079] In one embodiment, the above-mentioned method of providing a battery capacity drop warning based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number is specifically used for: If the difference between the current number of charge-discharge cycles and the target number of charge-discharge cycles corresponding to the target rate of change of expansion force is within the first preset number range, then the first warning method is used to issue a battery capacity drop warning for the battery to be predicted. If the difference between the current number of charge-discharge cycles and the target number of charge-discharge cycles corresponding to the target rate of change of expansion force is within the range of the second preset number of cycles, then the second warning method is used to issue a warning of battery capacity drop for the battery to be predicted. Among them, the number of times within the first preset number range is greater than the number of times within the second preset number range, and the warning intensity of the first warning method is less than the warning intensity of the second warning method.

[0080] In one embodiment, the first correlation includes the correlation between the number of charge-discharge cycles and the expansion force. The determining unit 203 is used to: Based on the first correlation, the curve constructed based on the number of charge-discharge cycles and the expansion force is differentiated to obtain the rate of change of expansion force corresponding to each number of charge-discharge cycles.

[0081] In one embodiment, the battery capacity warning device is further configured to: Based on a preset window, the expansion force corresponding to the number of charge-discharge cycles is smoothed to obtain the smoothed expansion force corresponding to the number of charge-discharge cycles. Based on the number of charge-discharge cycles and the corresponding smoothed expansion force, curve fitting was performed to obtain the first correlation.

[0082] As described above, this embodiment of the application obtains the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated by the acquisition unit 201; the construction unit 202 obtains the first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; the determination unit 203 determines the rate of change of expansion force corresponding to each number of charge-discharge cycles based on the first correlation relationship; and the early warning unit 204 provides a battery capacity drop warning for the battery under the target state of charge based on the rate of change of expansion force and the number of charge-discharge cycles. Thus, by determining the rate of change of expansion force corresponding to each number of charge-discharge cycles based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, a battery capacity drop warning is provided for the battery under the target state of charge based on the rate of change of expansion force corresponding to each number of charge-discharge cycles. This allows the change in expansion force caused by internal electrochemical changes in the battery under a fixed state of charge to be used as an evaluation index for battery capacity drop, enabling accurate prediction of battery capacity drop based on battery aging mechanisms. Simultaneously, it reduces the difficulty of implementing battery capacity drop warnings and further improves the efficiency of battery capacity drop warnings.

[0083] Accordingly, this application also provides an electronic device, which can be a terminal.

[0084] like Figure 5 As shown, Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device 300 includes a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, and a computer program stored in the memory 302 and executable on the processor. The processor 301 and the memory 302 are electrically connected. Those skilled in the art will understand that the electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0085] The processor 301 is the control center of the electronic device 300. It connects various parts of the electronic device 300 through various interfaces and lines. By running or loading software programs and / or units stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device 300 and processes data. The processor 301 may be a CPU, GPU, network processor (NP), etc., and can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application.

[0086] In this embodiment, the processor 301 in the electronic device 300 loads the instructions corresponding to the processes of one or more applications into the memory 302 according to the following steps, and the processor 301 runs the applications stored in the memory 302 to realize various functions, such as: Obtain the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; Obtain the first correlation, which is the relationship between the number of charge-discharge cycles and the corresponding expansion force; Based on the first correlation, determine the rate of change of expansion force corresponding to each charge-discharge cycle; Based on the rate of change of expansion force and the number of charge-discharge cycles, a battery capacity drop warning is issued for batteries under the target state of charge.

[0087] This solution obtains the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles at which the expansion force is generated; obtains a first correlation, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determines the rate of change of expansion force corresponding to each charge-discharge cycle based on the first correlation; and provides a battery capacity reduction warning for the battery under the target state of charge based on the rate of change of expansion force and the number of charge-discharge cycles. In this way, by determining the rate of change of expansion force corresponding to each charge-discharge cycle based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, a battery capacity reduction warning can be provided for the battery under the target state of charge. This method uses the change in expansion force caused by internal electrochemical changes in the battery under a fixed state of charge as an evaluation indicator for battery capacity reduction, achieving accurate prediction of battery capacity reduction based on battery aging mechanisms. It also reduces the difficulty of implementing battery capacity reduction warnings and further improves their efficiency.

[0088] Furthermore, the various functions implemented by running the application stored in memory 302 can also be found in the description of the foregoing embodiments, and will not be repeated here.

[0089] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0090] Optional, such as Figure 5 As shown, the electronic device 300 also includes: a touch display screen 303, a radio frequency circuit 304, an audio circuit 305, an input unit 306, and a power supply 307. The processor 301 is electrically connected to the touch display screen 303, the radio frequency circuit 304, the audio circuit 305, the input unit 306, and the power supply 307. Those skilled in the art will understand that... Figure 5 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0091] The touch display screen 303 can be used to display a graphical user interface (GUI) and receive operation commands generated by the user interacting with the GUI. The touch display screen 303 may include a display panel and a touch panel. The display panel can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of the electronic device. These graphical user interfaces can be composed of graphics, text, icons, video, and any combination thereof. Optionally, the display panel can be configured using a liquid crystal display (LCD), organic light-emitting diode (OLED), or other similar technologies. The touch panel can be used to collect touch operations performed by the user on or near it (such as operations performed by the user using a finger, stylus, or any suitable object or accessory on or near the touch panel), generate corresponding operation commands, and execute the corresponding program according to the operation commands. Optionally, the touch panel may include two parts: a touch detection device and a touch controller. The touch detection device detects the user's touch location and the signal generated by the touch operation, transmitting the signal to the touch controller. The touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends it to the processor 301. It can also receive and execute commands from the processor 301. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it transmits the information to the processor 301 to determine the type of touch event. Subsequently, the processor 301 provides corresponding visual output on the display panel based on the type of touch event. In this embodiment, the touch panel and the display panel can be integrated into the touch display screen 303 to achieve input and output functions. However, in some embodiments, the touch panel and the touch display screen 303 can be implemented as two independent components to achieve input and output functions. That is, the touch display screen 303 can also be used as part of the input unit 306 to achieve input functions.

[0092] The radio frequency circuit 304 can be used to transmit and receive radio frequency signals to establish wireless communication with network devices or other electronic devices, and to transmit and receive signals with network devices or other electronic devices.

[0093] Audio circuitry 305 can be used to provide an audio interface between a user and an electronic device via a speaker and a microphone. Audio circuitry 305 converts received audio data into electrical signals, transmits them to the speaker, and the speaker converts them into sound signals for output. Conversely, the microphone converts collected sound signals into electrical signals, which are then received by audio circuitry 305, converted back into audio data, and then processed by processor 301 before being transmitted via radio frequency circuitry 304 to, for example, another electronic device, or output to memory 302 for further processing. Audio circuitry 305 may also include an earphone jack to facilitate communication between peripheral headphones and electronic devices.

[0094] The input unit 306 can be used to receive input target video and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0095] Power supply 307 is used to supply power to various components of electronic device 300. Optionally, power supply 307 can be logically connected to processor 301 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. Power supply 307 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0096] although Figure 5 As not shown in the diagram, the electronic device 300 may also include a camera, sensor, wireless fidelity module, Bluetooth module, etc., which will not be described in detail here.

[0097] In the above embodiments, the descriptions of each embodiment have different focuses. Parts not described in detail in a particular embodiment can be found in the relevant descriptions of other embodiments. It should be noted that the electronic device provided in this application's embodiments belongs to the same concept as the battery capacity warning method described in the above embodiments. Its specific implementation process is detailed in the above method embodiments and will not be repeated here.

[0098] As can be seen from the above, the electronic device provided in this application embodiment can obtain the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; obtain a first correlation relationship, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determine the expansion force change rate corresponding to each charge-discharge cycle based on the first correlation relationship; and provide a battery capacity drop warning for the battery under the target state of charge based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles. Thus, by determining the expansion force change rate corresponding to each charge-discharge cycle based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, and providing a battery capacity drop warning for the battery under the target state of charge based on the expansion force change rate corresponding to each charge-discharge cycle, the change in expansion force caused by the internal electrochemical changes of the battery under a fixed state of charge can be used as an evaluation index for battery capacity drop. This enables accurate prediction of battery capacity drop based on battery aging mechanisms, reduces the difficulty of implementing battery capacity drop warnings, and further improves the efficiency of battery capacity drop warnings.

[0099] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0100] Therefore, embodiments of this application provide a computer-readable storage medium, including a computer program, which, when run on an electronic device, causes the electronic device to execute any of the battery capacity warning methods provided in embodiments of this application. For example, the computer program can execute the steps of the following battery capacity warning method: Obtain the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated; Obtain the first correlation, which is the relationship between the number of charge-discharge cycles and the corresponding expansion force; Based on the first correlation, determine the rate of change of expansion force corresponding to each charge-discharge cycle; Based on the rate of change of expansion force and the number of charge-discharge cycles, a battery capacity drop warning is issued for batteries under the target state of charge.

[0101] This solution obtains the expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles at which the expansion force is generated; obtains a first correlation, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; determines the rate of change of expansion force corresponding to each charge-discharge cycle based on the first correlation; and provides a battery capacity reduction warning for the battery under the target state of charge based on the rate of change of expansion force and the number of charge-discharge cycles. In this way, by determining the rate of change of expansion force corresponding to each charge-discharge cycle based on the expansion force generated by the battery under the target state of charge and the corresponding number of charge-discharge cycles, a battery capacity reduction warning can be provided for the battery under the target state of charge. This method uses the change in expansion force caused by internal electrochemical changes in the battery under a fixed state of charge as an evaluation indicator for battery capacity reduction, achieving accurate prediction of battery capacity reduction based on battery aging mechanisms. It also reduces the difficulty of implementing battery capacity reduction warnings and further improves their efficiency.

[0102] Furthermore, the detailed steps of the above method can be found in the description of the foregoing embodiments, and will not be repeated here.

[0103] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0104] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0105] Since the computer program stored in the computer-readable storage medium can execute any of the battery capacity warning methods provided in the embodiments of this application, the beneficial effects that any of the battery capacity warning methods provided in the embodiments of this application can achieve can be realized. For details, please refer to the previous embodiments, which will not be repeated here.

[0106] According to one aspect of this application, a computer program product is also provided, comprising a computer program stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, causing the electronic device to perform the methods provided in various optional implementations of the above embodiments.

[0107] In the above embodiments of the battery capacity warning device, computer-readable storage medium, electronic device, and computer program product, the descriptions of each embodiment have different focuses. Parts not described in detail in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and beneficial effects of the battery capacity warning device, computer-readable storage medium, computer program product, electronic device, and their corresponding units described above can be referred to the description of the battery capacity warning method in the above embodiments, and will not be repeated here.

[0108] The foregoing has provided a detailed description of a battery capacity warning method, device, electronic device, computer-readable storage medium, and computer program product provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A battery capacity early warning method, characterized in that, include: The expansion force generated by the target battery under the target state of charge and the number of charge-discharge cycles of the target battery when the expansion force is generated are obtained; Obtain a first correlation, which is the correlation between the number of charge-discharge cycles and the corresponding expansion force; Based on the first correlation, determine the rate of change of expansion force corresponding to each charge-discharge cycle number; Based on the expansion force change rate and the number of charge-discharge cycles, a battery capacity drop warning is issued for the battery under the target state of charge.

2. The battery capacity early warning method as described in claim 1, characterized in that, The method of providing a battery capacity drop warning for the battery at the target state of charge based on the expansion force change rate and the number of charge-discharge cycles includes: When both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions, a battery capacity drop warning is issued for the target battery in the target state of charge.

3. The battery capacity early warning method as described in claim 2, characterized in that, When both the rate of change of expansion force and the number of charge-discharge cycles meet the corresponding preset conditions, a battery capacity drop warning is issued for the target battery at the target state of charge, including: If the number of charge-discharge cycles is within a preset range and the rate of change of expansion force corresponding to the number of charge-discharge cycles is greater than a preset rate of change threshold, a battery capacity drop warning is issued for the target battery in the target state of charge.

4. The battery capacity warning method according to any one of claims 1 to 3, characterized in that, The method of providing a battery capacity drop warning for the battery at the target state of charge based on the expansion force change rate and the number of charge-discharge cycles includes: Based on the expansion force change rate and the number of charge-discharge cycles, a target expansion force change rate is determined, which is used to indicate that the target battery is about to experience a drop in battery capacity. Obtain the current charge-discharge cycle count of the battery to be predicted under the target state of charge, wherein the battery type of the battery to be predicted is the same as the battery type of the target battery; Based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number, a battery capacity drop warning is issued for the battery to be predicted.

5. The battery capacity early warning method as described in claim 4, characterized in that, Determining the target expansion force change rate based on the expansion force change rate and the number of charge-discharge cycles includes: When the number of charge-discharge cycles is within the preset number of cycles, the expansion force change rate that is greater than the preset change rate threshold is determined as the target expansion force change rate, or the expansion force change rate that is greater than the preset change rate threshold and is the maximum value is determined as the target expansion force change rate.

6. The battery capacity early warning method as described in claim 4, characterized in that, The method of providing a battery capacity drop warning for the battery to be predicted based on the target charge-discharge cycle number corresponding to the target expansion force change rate and the current charge-discharge cycle number includes: If the difference between the current number of charge-discharge cycles and the target number of charge-discharge cycles corresponding to the target rate of change of expansion force is within a first preset range, then the first warning method is used to issue a battery capacity drop warning for the battery to be predicted. If the difference between the current number of charge-discharge cycles and the number of target charge-discharge cycles corresponding to the target rate of change of expansion force is within the range of the second preset number of cycles, then the second early warning method is used to issue a battery capacity drop warning for the battery to be predicted. Wherein, the number of times within the first preset number range is greater than the number of times within the second preset number range, and the warning intensity of the first warning method is less than the warning intensity of the second warning method.

7. The battery capacity warning method according to any one of claims 1 to 6, characterized in that, The step of determining the rate of change of expansion force corresponding to each charge-discharge cycle number based on the first correlation includes: Based on the first correlation, the curve constructed based on the number of charge-discharge cycles and the expansion force is differentiated to obtain the rate of change of expansion force corresponding to each number of charge-discharge cycles.

8. The battery capacity warning method according to any one of claims 1 to 7, characterized in that, The first association is constructed through the following steps: Based on a preset window, the expansion force corresponding to the number of charge-discharge cycles is smoothed to obtain the smoothed expansion force corresponding to the number of charge-discharge cycles. Based on the number of charge-discharge cycles and the corresponding smoothed expansion force, a curve fitting process is performed to obtain the first correlation relationship.

9. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the battery capacity warning method according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, Includes a computer program, which, when run on an electronic device, causes the electronic device to perform the steps of the battery capacity warning method according to any one of claims 1-8.

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