A lithium battery cell anomaly detection method, system, terminal and storage medium

Abstract

The application relates to the new energy technology field, in particular to a lithium battery cell abnormality detection method and system, a terminal and a storage medium, the method comprises the following steps: acquiring a usable period and a used period of a lithium battery; judging whether the used period is less than the usable period; if the used period is greater than or equal to the usable period, determining that the lithium battery cell is abnormal; if the used period is less than the usable period, acquiring a remaining use period based on the usable period and the used period; acquiring a predicted capacity based on the remaining use period and a preset period-capacity function; acquiring a current capacity of the lithium battery; acquiring a capacity difference between the predicted capacity and the current capacity; and judging whether the lithium battery cell is abnormal based on the capacity difference. The application helps to strengthen the detection of the lithium battery cell abnormality and improve the use safety of the lithium battery.

Description

Technical Field

[0001] This application relates to the field of new energy technology, and in particular to a method, system, terminal and storage medium for detecting abnormalities in lithium battery cells. Background Technology

[0002] A lithium battery is a battery whose electrochemical system contains lithium (including metallic lithium, lithium alloys, lithium ions, and lithium polymers). Lithium batteries can be broadly classified into two categories: lithium metal batteries and lithium-ion batteries. Lithium metal batteries are typically non-rechargeable and contain metallic lithium. Lithium-ion batteries do not contain metallic lithium and are rechargeable.

[0003] Lithium-ion batteries are a relatively recent replacement for lithium metal batteries. The negative electrode of a lithium-ion battery is a graphite crystal, while the positive electrode is typically a lithium-containing transition metal oxide. During charging, lithium atoms in the positive electrode ionize into lithium ions and electrons, and the lithium ions move towards the negative electrode to combine with electrons to form lithium atoms. During discharging, lithium atoms ionize from the inner surface of the graphite crystal in the negative electrode into lithium ions and electrons, and then combine to form lithium atoms at the positive electrode. Lithium-ion batteries are widely used in various fields due to their outstanding advantages, including light weight, large energy storage, high power, no pollution, long lifespan, low self-discharge coefficient, and wide temperature adaptability.

[0004] A lithium-ion battery consists of a cell and a protection circuit board. The cell is the energy storage component of a lithium-ion battery, and its quality directly determines the overall quality of the battery. However, due to improper use of lithium batteries, their capacity can decrease over time, affecting their lifespan and even threatening people's lives and property. Therefore, it is necessary to strengthen the detection of abnormalities in lithium battery cells. Summary of the Invention

[0005] To enhance the detection of abnormalities in lithium battery cells and improve the safety of lithium battery use, this application provides a method, system, terminal, and storage medium for detecting abnormalities in lithium battery cells.

[0006] The first aspect of this application provides a method for detecting abnormalities in lithium battery cells, which adopts the following technical solution:

[0007] A method for detecting abnormalities in lithium battery cells includes:

[0008] Obtain the usable lifespan and used lifespan of the lithium battery;

[0009] Determine whether the used period is less than the usable period;

[0010] If the used period is greater than or equal to the usable period, the lithium battery cell is determined to be abnormal.

[0011] If the used period is less than the available period, then the remaining usage period is obtained based on the available period and the used period;

[0012] Based on the remaining usage period and the preset period-capacity function, the expected capacity is obtained;

[0013] Obtain the current capacity of the lithium battery;

[0014] Obtain the capacity difference between the projected capacity and the current capacity;

[0015] Based on the capacity difference, it is determined whether the lithium battery cell is abnormal.

[0016] By adopting the above technical solution, it is determined whether the used cycle is less than the usable cycle. If the used cycle is greater than or equal to the usable cycle, it indicates that the lithium battery has exceeded its normal service life, and the lithium battery cell is directly determined to be abnormal. If the used cycle is less than the usable cycle, the capacity difference between the expected capacity and the current capacity is obtained. The capacity difference is used to reflect the relationship between the expected capacity and the current capacity of the lithium battery. When the expected capacity is greater than the current capacity, it indicates that the current capacity loss rate of the lithium battery is higher than the capacity loss rate during normal use, thereby determining whether the lithium battery cell is abnormal. Real-time detection of lithium battery cell abnormalities helps to promptly detect whether lithium battery cells have malfunctioned, thereby improving the safety of lithium battery use.

[0017] Optionally, the specific steps for determining whether a lithium battery cell is abnormal based on the capacity difference include:

[0018] Determine whether the capacity difference is less than or equal to zero;

[0019] If the capacity difference is less than or equal to zero, the lithium battery cell is considered to be normal.

[0020] If the capacity difference is greater than zero, the lithium battery cell is determined to be abnormal.

[0021] By adopting the above technical solution, the abnormality of lithium battery cells is determined based on the relationship between the capacity difference and zero. When the capacity difference is less than or equal to zero, it indicates that the expected capacity is less than or equal to the current capacity, meaning that the current capacity meets the capacity change trend of lithium batteries, and therefore the lithium battery cell is determined to be normal. When the capacity difference is greater than zero, it indicates that the expected capacity is greater than the current capacity, meaning that the current capacity does not meet the capacity change trend of lithium batteries, and therefore the lithium battery cell is determined to be abnormal. By judging the relationship between the capacity difference and zero, the abnormality of lithium battery cells can be determined, which helps to quickly and simply determine whether a lithium battery cell is abnormal.

[0022] Optionally, the specific steps for determining that the lithium battery cell is abnormal if the capacity difference is greater than zero include:

[0023] If the capacity difference is greater than zero, then obtain the parameter data of the lithium battery;

[0024] Determine whether the parameter data meets the parameter threshold;

[0025] If the parameter data meets the parameter threshold, the lithium battery cell is determined to be abnormal.

[0026] If the parameter data does not meet the parameter threshold, then the target duration is obtained;

[0027] Determine whether the target duration exceeds a preset duration threshold;

[0028] If the target time does not exceed the duration threshold, the lithium battery cell is determined to be abnormal.

[0029] By employing the above technical solution, it is determined whether the parameter data meets the parameter threshold. If the parameter data meets the parameter threshold, the capacity difference should be less than or equal to zero. However, the actual capacity difference is greater than zero, thus indicating that the lithium battery cell is abnormal. If the parameter data does not meet the parameter threshold, it is further determined whether the target duration exceeds the preset duration threshold. If the target duration does not exceed the duration threshold, it indicates that the target duration is too short to cause the capacity difference to be greater than zero. Therefore, other factors may be causing the capacity difference to be greater than zero, thus indicating that the lithium battery cell is abnormal. Through multiple judgments, it is helpful to more accurately detect whether there is an abnormality in the lithium battery cell, thereby improving the safety of lithium battery use.

[0030] Optionally, after determining whether the lithium battery cell is abnormal based on the capacity difference, the method further includes:

[0031] If the lithium battery cell is abnormal, then the abnormal factors are identified;

[0032] An anomaly alarm will be triggered based on the aforementioned abnormal factors.

[0033] By adopting the above technical solution, abnormal factors can be identified and alarms can be triggered based on these factors. This helps users to clearly understand the specific abnormal factors causing lithium battery cell abnormalities. Alarms can be triggered based on different abnormal factors, which helps users make more targeted adjustments, thereby improving the lifespan of lithium batteries. It also helps prevent the abnormal state of lithium batteries from becoming more serious due to these abnormal factors, thus preventing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0034] Optionally, if the lithium battery cell is abnormal, the specific steps for obtaining the abnormal factors include:

[0035] If the lithium battery cell is abnormal, the target geographical location and target usage environment are obtained;

[0036] Based on the target's geographical location and its usage environment, obtain temperature data;

[0037] Determine whether the temperature data meets the temperature threshold.

[0038] If the temperature data does not meet the temperature threshold, then the temperature data will be considered as the abnormal factor.

[0039] By adopting the above technical solution, it is determined whether the temperature data meets the temperature threshold. If the temperature data does not meet the temperature threshold, it indicates that the temperature data is not within the temperature threshold range. Therefore, the temperature data is used as an abnormal factor that causes excessive capacity difference. Based on the target geographical location and target usage environment, it helps to make the acquired temperature data more accurate, thereby making the judgment result more accurate. It helps to quickly and accurately identify abnormal factors and prevent the abnormal state of lithium battery from becoming more serious due to abnormal factors, thus preventing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0040] Optional, also includes:

[0041] If the temperature data meets the temperature threshold, then the usage history data is obtained, which includes charging history data and discharging history data.

[0042] Determine whether the charging history data and / or the discharging history data meet a preset data threshold;

[0043] If the charging history data does not meet the data threshold, then the charging history data will be considered as the abnormal factor.

[0044] If the discharge history data does not meet the data threshold, then the discharge history data will be regarded as the abnormal factor.

[0045] If neither the charging history data nor the discharging history data meets the data threshold, then the charging history data and the discharging history data are considered as the abnormal factors.

[0046] By adopting the above technical solution, it is possible to determine whether the charging history data and / or discharging history data meet the preset data threshold, and then classify them according to different situations to further identify specific abnormal factors. This helps to prevent the abnormal state of the lithium battery from becoming more serious due to these abnormal factors, thus preventing safety accidents and improving the safety of lithium battery use.

[0047] Optionally, the specific steps for issuing an anomaly alarm based on the aforementioned anomaly factors include:

[0048] If the abnormal factor is the temperature data, then the temperature difference between the temperature data and the temperature threshold is obtained, and an alarm is triggered based on the temperature difference.

[0049] If the abnormal factor is the charging history data, then the initial charging power and the charging termination power are obtained based on the charging history data.

[0050] An alarm is triggered based on the initial charging power and / or the final charging power.

[0051] If the abnormal factor is the discharge history data, then the discharge termination charge is obtained based on the discharge history data.

[0052] An alarm is triggered based on the discharge termination charge.

[0053] By adopting the above technical solution, specific abnormal factors are first identified, and then alarms are triggered based on different abnormal factors. This helps users make more targeted adjustments, thereby preventing users from causing safety accidents due to the abnormal condition of the lithium battery becoming more serious. Therefore, it helps to improve the safety of lithium battery use.

[0054] Secondly, this application also discloses a lithium battery cell anomaly detection system, which adopts the following technical solution:

[0055] A lithium battery cell anomaly detection system, comprising:

[0056] The first acquisition module is used to acquire the usable lifespan and the lifespan already used of the lithium battery;

[0057] The first judgment module is used to determine whether the used period is less than the usable period;

[0058] The second judgment module is used to determine that the lithium battery cell is abnormal if the used period is greater than or equal to the usable period.

[0059] If the used period is less than the available period, the second acquisition module is used to acquire the remaining usage period based on the available period and the used period.

[0060] The third acquisition module is used to acquire the expected capacity based on the remaining usage period and a preset period-capacity function;

[0061] The fourth acquisition module is used to acquire the current capacity of the lithium battery;

[0062] The fifth acquisition module is used to acquire the capacity difference between the estimated capacity and the current capacity;

[0063] The third judgment module is used to determine whether the lithium battery cell is abnormal based on the capacity difference.

[0064] By adopting the above technical solution, it is determined whether the used cycle is less than the usable cycle. If the used cycle is greater than or equal to the usable cycle, it indicates that the lithium battery has exceeded its normal service life, and the lithium battery cell is directly determined to be abnormal. If the used cycle is less than the usable cycle, the capacity difference between the expected capacity and the current capacity is obtained. The capacity difference is used to reflect the relationship between the expected capacity and the current capacity of the lithium battery. When the expected capacity is greater than the current capacity, it indicates that the current capacity loss rate of the lithium battery is higher than the capacity loss rate during normal use, thereby determining whether the lithium battery cell is abnormal. Real-time detection of lithium battery cell abnormalities helps to promptly detect whether lithium battery cells have malfunctioned, thereby improving the safety of lithium battery use.

[0065] Thirdly, the computer device provided in this application adopts the following technical solution:

[0066] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can run on the processor, and when the processor loads the computer program, it executes the method of the first aspect.

[0067] By adopting the above technical solution, a computer program is generated based on the method of the first aspect and stored in a memory for loading and execution by a processor. Thus, a smart terminal is made based on the memory and the processor, making it convenient for users to use.

[0068] Fourthly, the computer-readable storage medium provided in this application adopts the following technical solution:

[0069] A computer-readable storage medium storing a computer program that, when loaded by a processor, executes the method of the first aspect.

[0070] By adopting the above technical solution, a computer program is generated based on the method of the first aspect and stored in a computer-readable storage medium for loading and execution by a processor. The computer-readable storage medium facilitates the reading and storage of the computer program.

[0071] In summary, this application includes the following beneficial technical effects:

[0072] The system determines whether the used lifespan is less than the usable lifespan. If the used lifespan is greater than or equal to the usable lifespan, it indicates that the lithium battery has exceeded its normal service life, and the lithium battery cell is directly identified as abnormal. If the used lifespan is less than the usable lifespan, the system obtains the capacity difference between the expected capacity and the current capacity. This capacity difference reflects the relationship between the expected capacity and the current capacity of the lithium battery. When the expected capacity is greater than the current capacity, it indicates that the current capacity loss rate of the lithium battery is higher than the capacity loss rate during normal use, thus enabling the system to determine whether the lithium battery cell is abnormal. Real-time detection of lithium battery cell abnormalities helps to promptly identify whether any abnormalities have occurred in the lithium battery cells, thereby improving the safety of lithium battery use. Attached Figure Description

[0073] Figure 1 This is a main flowchart of a lithium battery cell anomaly detection method according to an embodiment of this application;

[0074] Figure 2 This is a flowchart showing the specific steps from S201 to S203;

[0075] Figure 3 This is a flowchart of the specific steps from S301 to S306;

[0076] Figure 4 This is a flowchart showing the specific steps from S401 to S402;

[0077] Figure 5 This is a flowchart of steps S501 to S504;

[0078] Figure 6 This is a flowchart of steps S601 to S605;

[0079] Figure 7 This is a flowchart of steps S701 to S705;

[0080] Figure 8 This is a block diagram of a lithium battery cell anomaly detection system according to an embodiment of this application.

[0081] Explanation of reference numerals in the attached figures:

[0082] 1. First acquisition module; 2. First judgment module; 3. Second judgment module; 4. Second acquisition module; 5. Third acquisition module; 6. Fourth acquisition module; 7. Fifth acquisition module; 8. Third judgment module. Detailed Implementation

[0083] Firstly, this application discloses a method for detecting abnormalities in lithium battery cells.

[0084] Reference Figure 1A method for detecting abnormalities in lithium battery cells, comprising steps S101 to S108:

[0085] Step S101: Obtain the usable lifespan and the lifespan already used of the lithium battery.

[0086] Specifically, in this embodiment, the lithium battery is a rechargeable lithium-ion battery. The usable lifespan is determined based on the characteristics of the lithium battery itself (such as battery capacity) and is determined at the time of manufacture. Generally, the usable lifespan of a lithium battery is 500 cycles. The used lifespan refers to the number of cycles that the lithium battery has already undergone. It is worth noting that a lifespan means the process of the lithium battery going from full to empty and then from empty to full. This is not the same as charging once. For example, from a capacity perspective, if a 2200mAh lithium battery starts charging when it still has 1100mAh left, it cannot be counted as a lifespan, but only as half a lifespan. However, in this way, the lithium battery can be charged and discharged 1000 times.

[0087] Step S102: Determine whether the used period is less than the usable period.

[0088] Specifically, in this embodiment, the difference is calculated by subtracting the used period from the available period, and then the difference is compared with zero. If the difference is greater than zero, the used period is less than the available period; if the difference is less than or equal to zero, the used period is greater than or equal to the available period.

[0089] Step S103: If the used cycle is greater than or equal to the usable cycle, the lithium battery cell is determined to be abnormal.

[0090] Specifically, in this embodiment, if the used period is greater than or equal to the usable period, it indicates that the lithium battery has exceeded its normal service life, and the lithium battery cell is directly determined to be abnormal.

[0091] Step S104: If the used period is less than the available period, then obtain the remaining usage period based on the available period and the used period.

[0092] Specifically, in this embodiment, the remaining usage period is the difference between the usable period and the used period. For example, if the usable period is 500 and the used period is 300, then the remaining usage period is 500 - 300 = 200.

[0093] Step S105: Obtain the projected capacity based on the remaining usage period and the preset period-capacity function.

[0094] Specifically, in this embodiment, the period-capacity function is used to characterize the correspondence between period and capacity. For example, when the remaining usage period is 500 times, the lithium battery capacity is 100%, and when the remaining usage period is 400 times, the lithium battery capacity is 95%. The expected capacity is the lithium battery capacity calculated based on the period-capacity function. For example, when the remaining usage period is 400 times, the lithium battery capacity is 95%, which means the expected capacity is 95%.

[0095] Step S106: Obtain the current capacity of the lithium battery.

[0096] Specifically, in this embodiment, the current capacity refers to the current actual capacity of the lithium battery.

[0097] Step S107: Obtain the capacity difference between the projected capacity and the current capacity.

[0098] Specifically, in this embodiment, the capacity difference is the difference between the expected capacity and the current capacity. For example, if the expected capacity is 95% and the current capacity is 92%, then the capacity difference is 95% - 92% = 3%.

[0099] Step S108: Based on the capacity difference, determine whether the lithium battery cell is abnormal.

[0100] Specifically, in this embodiment, the abnormality of the lithium battery cell is determined based on the specific value of the capacity difference.

[0101] The lithium battery cell anomaly detection method provided in this embodiment determines whether the used cycle is less than the usable cycle. If the used cycle is greater than or equal to the usable cycle, it indicates that the lithium battery has exceeded its normal service life, and the lithium battery cell is directly determined to be abnormal. If the used cycle is less than the usable cycle, the capacity difference between the expected capacity and the current capacity is obtained. The capacity difference is used to reflect the relationship between the expected capacity and the current capacity of the lithium battery. When the expected capacity is greater than the current capacity, it indicates that the current capacity loss rate of the lithium battery is higher than the capacity loss rate during normal use, thereby determining whether the lithium battery cell is abnormal. Real-time detection of lithium battery cell anomalies helps to promptly detect whether lithium battery cells have malfunctioned, thereby improving the safety of lithium battery use.

[0102] Reference Figure 2 In one embodiment of this example, step S108, which determines whether a lithium battery cell is abnormal based on the capacity difference, includes steps S201 to S203:

[0103] Step S201: Determine whether the capacity difference is less than or equal to zero.

[0104] Step S202: If the capacity difference is less than or equal to zero, the lithium battery cell is considered to be normal.

[0105] Step S203: If the capacity difference is greater than zero, the lithium battery cell is determined to be abnormal.

[0106] The lithium battery cell anomaly detection method provided in this embodiment determines whether a lithium battery cell is abnormal based on the relationship between the capacity difference and zero. When the capacity difference is less than or equal to zero, it indicates that the expected capacity is less than or equal to the current capacity, meaning that the current capacity meets the capacity change trend of the lithium battery, and therefore the lithium battery cell is determined to be normal. When the capacity difference is greater than zero, it indicates that the expected capacity is greater than the current capacity, meaning that the current capacity does not meet the capacity change trend of the lithium battery, and therefore the lithium battery cell is determined to be abnormal. By judging the relationship between the capacity difference and zero, the method helps to quickly and simply determine whether a lithium battery cell is abnormal.

[0107] Reference Figure 3 In one embodiment of this example, if the capacity difference in step S203 is greater than zero, the specific steps for determining that the lithium battery cell is abnormal include steps S301 to S306:

[0108] Step S301: If the capacity difference is greater than zero, obtain the parameter data of the lithium battery.

[0109] Specifically, in this embodiment, the parameter data includes environmental parameter data (such as temperature data and humidity data) and usage parameter data (such as charging data and discharging data).

[0110] Step S302: Determine whether the parameter data meets the parameter threshold.

[0111] Specifically, in this embodiment, the parameter thresholds are set according to the standard usage of lithium batteries. For example, the optimal operating temperature of lithium batteries is 10°C to 25°C, and they should not be overcharged or over-discharged. Therefore, the charging capacity should be maintained between 20% and 80%. The standard usage of lithium batteries is a method that is beneficial to improving the service life and safety of lithium batteries, obtained from testing a large number of lithium batteries.

[0112] Step S303: If the parameter data meets the parameter threshold, the lithium battery cell is determined to be abnormal.

[0113] Specifically, in this embodiment, parameter data satisfying the parameter threshold means that all parameter data satisfy the parameter threshold.

[0114] Step S304: If the parameter data does not meet the parameter threshold, then obtain the target duration.

[0115] Specifically, in this embodiment, the target duration refers to the duration during which the lithium battery is not used in accordance with the standard lithium battery usage method. For example, the optimal operating temperature is set to 10°C to 25°C in the standard lithium battery usage method, and the duration during which the user does not use the lithium battery in the 10°C to 25°C range is 100 hours, then the target duration is 100 hours.

[0116] Step S305: Determine whether the target duration exceeds the preset duration threshold.

[0117] Specifically, in this embodiment, the duration threshold can be set according to the lithium battery usage time, for example, the duration threshold is 10% of the lithium battery usage time.

[0118] Step S306: If the target time does not exceed the duration threshold, the lithium battery cell is determined to be abnormal.

[0119] The lithium battery cell anomaly detection method provided in this embodiment determines whether the parameter data meets the parameter threshold. If the parameter data meets the parameter threshold, the capacity difference should be less than or equal to zero. However, the actual capacity difference is greater than zero, so the lithium battery cell is determined to be abnormal. If the parameter data does not meet the parameter threshold, it further determines whether the target duration exceeds the preset duration threshold. If the target duration does not exceed the duration threshold, it indicates that the target duration is too short to cause the capacity difference to be greater than zero. Therefore, there are other factors that cause the capacity difference to be greater than zero, so the lithium battery cell is determined to be abnormal. Through multiple judgments, it helps to more accurately detect whether there is an anomaly in the lithium battery cell, thereby improving the safety of lithium battery use.

[0120] Reference Figure 4 In one embodiment of this example, after determining whether the lithium battery cell is abnormal based on the capacity difference in step S108, steps S401 to S402 are further included:

[0121] Step S401: If the lithium battery cell is abnormal, then obtain the abnormal factors.

[0122] Specifically, in this embodiment, abnormal factors are those that cause abnormalities in lithium battery cells.

[0123] Step S402: Based on the abnormal factors, issue an abnormal alarm.

[0124] Specifically, in this embodiment, the abnormal alarm is a targeted alarm based on the abnormal factor. For example, if the abnormal factor is the temperature parameter, the alarm content includes the temperature threshold range, the difference between the temperature data and the temperature threshold range, and a recommendation to use lithium batteries within the temperature threshold range.

[0125] The lithium battery cell anomaly detection method provided in this embodiment acquires abnormal factors and issues alarms based on these factors. This helps users to more clearly understand the specific abnormal factors causing the lithium battery cell anomalies. By issuing alarms based on different abnormal factors, users can make more targeted adjustments, thereby improving the lifespan of the lithium battery. It also helps prevent the abnormal state of the lithium battery from becoming more serious due to the abnormal factors, thus preventing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0126] Reference Figure 5 In one embodiment of this example, if the lithium battery cell is abnormal in step S401, the specific steps for obtaining the abnormal factors include steps S501 to S504:

[0127] Step S501: If the lithium battery cell is abnormal, obtain the target geographical location and the target usage environment.

[0128] Specifically, in this embodiment, the target geographical location refers to the geographical location of the city or county where the lithium battery is used. For example, if the lithium battery is used in Changsha, then the target geographical location is Changsha City. The target usage environment refers to the temperature environment in which the lithium battery is used. For example, if the lithium battery is used inside a factory, then the usage environment includes the factory and the temperature conditions inside the factory.

[0129] Step S502: Obtain temperature data based on the target geographical location and the target usage environment.

[0130] Specifically, in this embodiment, the temperature data refers to the actual temperature near the lithium battery when it is in use. For example, within a spherical area with a radius of 10 meters and the lithium battery as the center, if the space where the lithium battery is located is included in the spherical space, then the actual space of the lithium battery shall prevail.

[0131] Step S503: Determine whether the temperature data meets the temperature threshold.

[0132] Specifically, in this embodiment, the temperature threshold is one of the parameter thresholds, and the temperature threshold is a temperature range consisting of a minimum temperature threshold and a maximum temperature threshold, such as [10, 15] degrees Celsius.

[0133] Step S504: If the temperature data does not meet the temperature threshold, then the temperature data is considered an anomaly.

[0134] The lithium battery cell anomaly detection method provided in this embodiment determines whether the temperature data meets the temperature threshold. If the temperature data does not meet the temperature threshold, it indicates that the temperature data is not within the temperature threshold range. Therefore, the temperature data is used as an anomaly factor that causes excessive capacity difference. Based on the target geographical location and target usage environment, the acquired temperature data is more accurate, thereby making the judgment result more accurate. This helps to quickly and accurately identify the anomaly factor and prevent the abnormal state of the lithium battery from becoming more serious due to the anomaly factor, thus preventing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0135] Reference Figure 6 In one embodiment of this example, steps S601 to S605 are further included:

[0136] Step S601: If the temperature data meets the temperature threshold, then obtain the usage history data, which includes charging history data and discharging history data.

[0137] Specifically, in this embodiment, the historical data used includes charging history data and discharging history data. The charging history data includes the starting charge level and the ending charge level. In this embodiment, the starting charge level with the most charging cycles is used as the starting charge level, and the ending charge level with the most charging cycles is used as the ending charge level. The starting charge level is the remaining charge of the lithium battery when charging, and the ending charge level is the remaining charge of the lithium battery when charging ends. The discharging history data includes the ending discharge level and the initial discharge level. It is worth noting that the ending discharge level is the same as the initial charge level, and the initial discharge level is the same as the ending charge level.

[0138] Step S602: Determine whether the charging history data and / or discharging history data meet the preset data threshold.

[0139] Specifically, in this embodiment, the data threshold is one of the parameter thresholds, used to determine whether the charging history data and / or discharging history data meet the parameter threshold.

[0140] Step S603: If the charging history data does not meet the data threshold, then the charging history data is considered an abnormal factor.

[0141] Step S604: If the historical discharge data does not meet the data threshold, then the historical discharge data is considered an anomaly.

[0142] Step S605: If neither the charging history data nor the discharging history data meets the data threshold, then the charging history data and the discharging history data are considered as abnormal factors.

[0143] The lithium battery cell anomaly detection method provided in this embodiment determines whether the charging history data and / or discharging history data meet the preset data threshold, and then classifies them according to different situations to further identify the specific abnormal factors. This helps to prevent the abnormal state of the lithium battery from becoming more serious due to the abnormal factors, thus preventing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0144] Reference Figure 7 In one embodiment of this example, step S402, which involves triggering an anomaly alarm based on abnormal factors, specifically includes steps S701 to S704:

[0145] Step S701: If the abnormal factor is temperature data, then obtain the temperature difference between the temperature data and the temperature threshold, and issue an alarm based on the temperature difference.

[0146] Specifically, in this embodiment, the temperature difference is the difference between the temperature data and the temperature threshold. When the temperature data is less than the minimum temperature threshold, the temperature difference is the temperature data minus the minimum temperature threshold; when the temperature data is greater than the maximum temperature threshold, the temperature difference is the temperature data minus the maximum temperature threshold. For example, when the temperature data is 5℃ and the minimum temperature threshold is 10℃, the temperature difference is 5 - 10 = -5℃; when the temperature data is 25℃ and the minimum temperature threshold is 15℃, the temperature difference is 25 - 15 = 10℃.

[0147] Step S702: If the abnormal factor is charging history data, then obtain the initial charging capacity and the charging termination capacity based on the charging history data.

[0148] Specifically, in this embodiment, the initial charging capacity and the charging termination capacity are the same as those described in step S601.

[0149] Step S703: Issue an alarm based on the initial charging level and / or the charging termination level.

[0150] Specifically, in this embodiment, the abnormal factor causing the lithium battery malfunction is first determined to be either the initial charging level or the charging termination level. Then, an alarm is triggered based on the actual usage. For example, if the abnormal factor causing the lithium battery malfunction is that the initial charging level is too low, the system will trigger an alarm when the user charges the lithium battery. The alarm content includes the initial charging level being too low and the recommended optimal initial charging level. Alternatively, an alarm can be triggered when the lithium battery level is below a certain threshold, such as when the lithium battery level is below 15%. If the abnormal factor causing the lithium battery malfunction is that the charging termination level is too high, the system will trigger an alarm when the user charges the lithium battery. The alarm content includes the charging termination level being too high and the recommended optimal charging termination level.

[0151] Step S704: If the abnormal factor is historical discharge data, then obtain the discharge termination charge based on the historical discharge data.

[0152] Specifically, in this embodiment, the initial discharge capacity and the discharge termination capacity are consistent with those described in step S601.

[0153] Step S705: Issue an alarm based on the discharge termination charge.

[0154] The lithium battery cell anomaly detection method provided in this embodiment first identifies the specific abnormal factors, and then issues alarms based on the different abnormal factors. This helps users make more targeted adjustments, thereby helping to prevent the abnormal state of the lithium battery from becoming more serious due to the abnormal factors and causing safety accidents. Therefore, it helps to improve the safety of lithium battery use.

[0155] The implementation principle of a lithium battery cell anomaly detection method according to an embodiment of this application is as follows: Obtain the usable lifespan and the used lifespan of the lithium battery; determine whether the used lifespan is less than the usable lifespan; if the used lifespan is greater than or equal to the usable lifespan, determine that the lithium battery cell is abnormal; if the used lifespan is less than the usable lifespan, obtain the remaining usable lifespan based on the usable lifespan and the used lifespan; obtain the expected capacity based on the remaining usable lifespan and a preset lifespan-capacity function; obtain the current capacity of the lithium battery; obtain the capacity difference between the expected capacity and the current capacity; and determine whether the lithium battery cell is abnormal based on the capacity difference.

[0156] Secondly, this application also discloses a lithium battery cell anomaly detection system.

[0157] Reference Figure 8 A lithium battery cell anomaly detection system, comprising:

[0158] The first acquisition module 1 is used to acquire the usable lifespan and the lifespan already used of the lithium battery;

[0159] The first judgment module 2 is used to determine whether the used period is less than the usable period;

[0160] If the used period is greater than or equal to the usable period, the second judgment module 3 is used to determine the abnormality of the lithium battery cell.

[0161] If the used period is less than the available period, the second acquisition module 4 is used to obtain the remaining usage period based on the available period and the used period.

[0162] The third acquisition module 5 is used to obtain the expected capacity based on the remaining usage period and a preset period-capacity function;

[0163] The fourth acquisition module 6 is used to acquire the current capacity of the lithium battery;

[0164] The fifth acquisition module 7 is used to obtain the capacity difference between the estimated capacity and the current capacity;

[0165] The third judgment module 8 is used to determine whether the lithium battery cell is abnormal based on the capacity difference.

[0166] The implementation principle of a lithium battery cell anomaly detection system according to an embodiment of this application is as follows: A first acquisition module 1 acquires the usable lifespan and the used lifespan of the lithium battery, and sends these two data to a first judgment module 2. The first judgment module 2 determines whether the used lifespan is less than the usable lifespan. If the used lifespan is greater than or equal to the usable lifespan, the first judgment module 2 sends the first judgment result to a second judgment module 3. The second judgment module 3 determines that the lithium battery cell is abnormal. If the used lifespan is less than the usable lifespan, the first judgment module 2 sends the first judgment result to a second acquisition module 4. The second acquisition module 4 determines the anomaly based on the usable lifespan. The system obtains the remaining usage period and sends it to the third acquisition module 5. The third acquisition module 5 obtains the expected capacity based on the remaining usage period and a preset period-capacity function and sends the expected capacity to the fifth acquisition module 7. The fourth acquisition module 6 obtains the current capacity of the lithium battery and sends the current capacity to the fifth acquisition module 7. The fifth acquisition module 7 obtains the capacity difference between the expected capacity and the current capacity and sends the capacity difference to the third judgment module 8. The third judgment module 8 determines whether the lithium battery cell is abnormal based on the capacity difference, thereby achieving the same technical effect as the aforementioned lithium battery cell abnormality detection method.

[0167] Thirdly, this application discloses a smart terminal, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor loads the computer program, it executes a lithium battery cell anomaly detection method according to the above embodiment.

[0168] Fourthly, embodiments of this application disclose a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is loaded by a processor, it executes a lithium battery cell anomaly detection method according to the above embodiments.

[0169] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for detecting abnormalities in lithium battery cells, characterized in that, include: Obtain the usable lifespan and used lifespan of the lithium battery; Determine whether the used period is less than the usable period; If the used period is greater than or equal to the usable period, the lithium battery cell is determined to be abnormal. If the used period is less than the available period, then the remaining usage period is obtained based on the available period and the used period; Based on the remaining usage period and the preset period-capacity function, the expected capacity is obtained; Obtain the current capacity of the lithium battery; Obtain the capacity difference between the projected capacity and the current capacity; Based on the capacity difference, determine whether the lithium battery cell is abnormal; The specific steps for determining whether a lithium battery cell is abnormal based on the capacity difference include: Determine whether the capacity difference is less than or equal to zero; If the capacity difference is less than or equal to zero, the lithium battery cell is considered to be normal. If the capacity difference is greater than zero, the lithium battery cell is determined to be abnormal. The specific steps for determining that the lithium battery cell is abnormal if the capacity difference is greater than zero include: If the capacity difference is greater than zero, then obtain the parameter data of the lithium battery; Determine whether the parameter data meets the parameter threshold; If the parameter data meets the parameter threshold, the lithium battery cell is determined to be abnormal. If the parameter data does not meet the parameter threshold, then the target duration is obtained; the target duration is the duration during which the lithium battery is not used in accordance with the standard lithium battery usage method. Determine whether the target duration exceeds a preset duration threshold; If the target duration does not exceed the duration threshold, the lithium battery cell is determined to be abnormal.

2. The method for detecting abnormalities in a lithium battery cell according to claim 1, characterized in that, After determining whether the lithium battery cell is abnormal based on the capacity difference, the method further includes: If the lithium battery cell is abnormal, then the abnormal factors are identified; An anomaly alarm will be triggered based on the aforementioned abnormal factors.

3. The method for detecting abnormalities in a lithium battery cell according to claim 2, characterized in that, If the lithium battery cell is abnormal, the specific steps for obtaining the abnormal factors include: If the lithium battery cell is abnormal, the target geographical location and target usage environment are obtained; Based on the target's geographical location and its usage environment, obtain temperature data; Determine whether the temperature data meets the temperature threshold; If the temperature data does not meet the temperature threshold, then the temperature data will be considered as the abnormal factor.

4. The method for detecting abnormalities in a lithium battery cell according to claim 3, characterized in that, Also includes: If the temperature data meets the temperature threshold, then the usage history data is obtained, which includes charging history data and discharging history data. Determine whether the charging history data and / or the discharging history data meet a preset data threshold; If the charging history data does not meet the data threshold, then the charging history data will be considered as the abnormal factor. If the discharge history data does not meet the data threshold, then the discharge history data will be regarded as the abnormal factor. If neither the charging history data nor the discharging history data meets the data threshold, then the charging history data and the discharging history data are considered as the abnormal factors.

5. The method for detecting abnormalities in a lithium battery cell according to claim 4, characterized in that, The specific steps for issuing an anomaly alarm based on the aforementioned anomaly factors include: If the abnormal factor is the temperature data, then the temperature difference between the temperature data and the temperature threshold is obtained, and an alarm is triggered based on the temperature difference. If the abnormal factor is the charging history data, then the initial charging power and the charging termination power are obtained based on the charging history data. An alarm is triggered based on the initial charging power and / or the final charging power. If the abnormal factor is the discharge history data, then the discharge termination charge is obtained based on the discharge history data. An alarm is triggered based on the discharge termination charge.

6. A lithium battery cell anomaly detection system, characterized in that, For implementing a lithium battery cell anomaly detection method as described in any one of claims 1 to 5, the system comprises: The first acquisition module (1) is used to acquire the usable cycle and the used cycle of the lithium battery; The first judgment module (2) is used to determine whether the used period is less than the usable period; The second judgment module (3) is used to determine the lithium battery cell as abnormal if the used period is greater than or equal to the usable period. If the used period is less than the available period, the second acquisition module (4) is used to acquire the remaining usage period based on the available period and the used period. The third acquisition module (5) is used to acquire the expected capacity based on the remaining usage period and the preset period-capacity function; The fourth acquisition module (6) is used to acquire the current capacity of the lithium battery; The fifth acquisition module (7) is used to acquire the capacity difference between the estimated capacity and the current capacity; The third judgment module (8) is used to determine whether the lithium battery cell is abnormal based on the capacity difference.

7. A smart terminal, comprising a memory and a processor, characterized in that, The memory is used to store computer programs that can run on the processor, and when the processor loads the computer program, it executes the method of any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded by the processor, it executes the method of any one of claims 1 to 5.

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