Battery diagnosis method, electronic equipment and storage medium

Abstract

The invention provides a battery diagnosis method, electronic equipment and a storage medium, and the method comprises the steps: determining a target voltage difference region formed in the charging and discharging process of a battery according to the charging and discharging data of the battery, and enabling the voltage difference change trend corresponding to the battery in the target voltage difference region to accord with a preset change trend; calculating a target ampere-hour integral capacity corresponding to the target voltage difference region according to the charging and discharging data; and based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determining whether the state-of-charge consistency of the battery is abnormal or not. The charging and discharging data can be acquired in real time, and the consistency of the state of charge of the battery can be evaluated in real time through the acquired charging and discharging data, so that the problem of relatively poor evaluation real-time performance caused by standing processing of the battery is avoided, and the real-time performance of evaluating the consistency of the state of charge of the battery is improved.

Description

Technical Field

[0001] This invention relates to the field of battery diagnostic technology, and more specifically to a battery diagnostic method, electronic device, and storage medium. Background Technology

[0002] Existing battery diagnostic technologies can assess the consistency of a battery's State of Charge (SOC). Assessing SOC consistency typically involves first estimating the battery's SOC, and then analyzing the SOC to determine its consistency.

[0003] In related technologies, the open-circuit voltage method is commonly used to estimate battery SOC. The principle of the open-circuit voltage method is as follows: the battery is first subjected to a resting period. After this extended resting period, the relationship between the battery's open-circuit voltage and lithium-ion concentration is measured to fit the correlation between the open-circuit voltage and the battery's SOC, thereby estimating the battery's SOC. Although the open-circuit voltage method is simple and convenient, it requires a long period of battery resting, resulting in poor real-time performance of the SOC estimation, which in turn affects the real-time performance of assessing the consistency of the battery's state of charge.

[0004] Therefore, existing battery diagnostic technologies suffer from poor real-time performance in assessing the consistency of battery state of charge. Summary of the Invention

[0005] Embodiments of the present invention provide a battery diagnostic method, an electronic device, and a storage medium, which aim to evaluate the consistency of the battery's state of charge (SOC) using battery charge and discharge data, thereby improving the real-time performance of the SOC evaluation.

[0006] In a first aspect, embodiments of the present invention provide a battery diagnostic method, the method comprising:

[0007] Based on the battery's charging and discharging data, a target pressure difference region formed during the charging and discharging process of the battery is determined, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to a preset change trend.

[0008] Based on the charge and discharge data, calculate the target ampere-hour integral capacity corresponding to the target pressure difference region;

[0009] Based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determine whether the state of charge consistency of the battery is abnormal.

[0010] In one embodiment, determining the target voltage difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data includes:

[0011] Based on the charge and discharge data, determine the differential pressure data during the charge and discharge process of the battery;

[0012] Based on the pressure difference change trend in the pressure difference data, the target pressure difference region formed during the charging and discharging process of the battery is determined, wherein the pressure difference change trend of the pressure difference data in the target pressure difference region is first rising and then falling.

[0013] In this way, by analyzing the differential pressure data determined based on charge and discharge data, the differential pressure arch region formed during the charge and discharge process of the battery can be identified, so as to facilitate subsequent assessment of the state of charge consistency. This solves the problem that the battery needs to be left to stand for a long time before the state of charge consistency can be assessed, thereby realizing real-time assessment of the state of charge consistency.

[0014] In one embodiment, before determining the target pressure difference region formed during the charging and discharging process of the battery based on the pressure difference change trend in the pressure difference data, the method further includes:

[0015] Based on the current data during the charging process, a target time period during which the current does not exceed a preset current threshold is determined.

[0016] The differential pressure data generated during the target time period are filtered from the differential pressure data, and the target differential pressure region is determined based on the differential pressure change trend in the filtered differential pressure data.

[0017] In this way, by statistically analyzing charging data where the current does not exceed a preset current threshold and determining the differential pressure data based on this charging data, the speed of identifying the differential pressure arch region during battery charging can be improved, thereby increasing the efficiency of evaluating the consistency of the state of charge.

[0018] In one embodiment, the preset current threshold includes 30A.

[0019] In one embodiment, calculating the target ampere-hour integral capacity corresponding to the target voltage difference region based on the charge / discharge data includes:

[0020] The start and end times of the target differential pressure region during the charging and discharging process are obtained;

[0021] Based on the charging and discharging data, calculate the first ampere-hour integral capacity corresponding to the start time and the second ampere-hour integral capacity corresponding to the end time during the charging and discharging process.

[0022] The target ampere-hour integral capacity corresponding to the target pressure differential region is determined based on the difference between the first ampere-hour integral capacity and the second ampere-hour integral capacity.

[0023] In one embodiment, determining whether the battery's state of charge consistency is abnormal based on the target ampere-hour integral capacity corresponding to the target pressure difference region includes:

[0024] Based on the target ampere-hour integral capacity corresponding to the target pressure difference region and the preset rated capacity, determine the characterization value of the state of charge consistency corresponding to the target pressure difference region;

[0025] Based on the characterization value corresponding to the target pressure difference region, determine whether the state of charge consistency of the battery is abnormal.

[0026] In this way, the performance of the pressure difference arch region can be used to quantify the state of charge consistency. The performance of the pressure difference arch region can be determined by the obtained charge and discharge data to evaluate the state of charge consistency of the battery in real time. This avoids the problem of poor real-time evaluation caused by leaving the battery in a static state, and improves the real-time performance of evaluating the state of charge consistency of the battery.

[0027] In one embodiment, the number of the aforementioned target pressure differential regions is at least one.

[0028] Based on this, the above-mentioned determination of whether the battery's state of charge consistency is abnormal according to the characterization value corresponding to the target pressure difference region includes:

[0029] If there exists a target pressure difference region whose characteristic value is greater than a preset characteristic value, then the battery is determined to have an abnormal state of charge consistency.

[0030] In this way, by simply comparing the characterization value corresponding to the target pressure difference region with the preset characterization value, it is possible to quickly determine whether the battery's state of charge consistency is abnormal, thus improving the efficiency of evaluating the battery's state of charge consistency.

[0031] In one embodiment, the above method further includes:

[0032] If the characterization value corresponding to each of the target pressure difference regions is not greater than the preset characterization value, then the relative self-discharge rate of the battery is obtained based on the characterization value corresponding to each of the target pressure difference regions.

[0033] If the relative self-discharge rate of the battery is greater than the preset rate, the battery is determined to have an abnormal state of charge consistency; otherwise, the battery is determined to have a normal state of charge consistency.

[0034] In this way, by combining the characterization value corresponding to the target pressure difference region with the preset characterization value, and by simply comparing the battery's relative self-discharge rate with the preset rate, it is possible to quickly determine whether the battery's state of charge consistency is abnormal, thereby improving the efficiency and accuracy of evaluating the battery's state of charge consistency.

[0035] In one embodiment, before determining the target voltage difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data, the method further includes:

[0036] The charge and discharge data are cleaned based on the state of charge so that the state of charge of the cleaned charge and discharge data falls within a preset state of charge range.

[0037] In this way, by performing preliminary screening of charging and discharging data, the efficiency and accuracy of identifying the differential pressure arch area during the subsequent battery charging process can be improved.

[0038] Secondly, embodiments of the present invention provide a battery diagnostic device, the battery diagnostic device comprising:

[0039] The region determination module is used to determine the target pressure difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to a preset change trend.

[0040] The data calculation module is used to calculate the target ampere-hour integral capacity corresponding to the target pressure difference region based on the charge and discharge data;

[0041] The evaluation module is used to determine whether the state of charge consistency of the battery is abnormal based on the target ampere-hour integral capacity corresponding to the target pressure difference region.

[0042] Thirdly, embodiments of the present invention provide an electronic device, the electronic device comprising:

[0043] One or more processors;

[0044] Memory; and

[0045] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the steps in the battery diagnostic method of any one of the first aspects.

[0046] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform the steps in the battery diagnostic method according to any one of the first aspects.

[0047] Fifthly, this application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, are used to perform the steps in the battery diagnostic method described in any of the first aspects above.

[0048] The beneficial effects of the embodiments of the present invention are as follows:

[0049] In embodiments of the present invention, a target voltage difference region formed during the charging and discharging process of the battery is determined based on the battery's charging and discharging data. Within this target voltage difference region, the voltage difference change trend of the battery conforms to a preset trend. Based on the charging and discharging data, the target ampere-hour integral capacity corresponding to the target voltage difference region is calculated. Based on the target ampere-hour integral capacity corresponding to the target voltage difference region, it is determined whether the battery's state of charge consistency is abnormal. Since the charging and discharging data can be acquired in real time, the battery's state of charge consistency can be evaluated in real time using the acquired data. This avoids the problem of poor real-time evaluation caused by allowing the battery to rest, thus improving the real-time performance of the battery's state of charge consistency evaluation. Attached Figure Description

[0050] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a schematic diagram of the voltage curve of the lithium iron phosphate battery provided in the embodiments of this application;

[0052] Figure 2 This is a schematic flowchart of the battery diagnostic method provided in the embodiments of this application;

[0053] Figure 3 This is a schematic diagram of the parameters for analyzing charge and discharge data in the battery diagnostic method provided in the embodiments of this application;

[0054] Figure 4 This is a flowchart of a specific embodiment of the battery diagnostic method provided in this application;

[0055] Figure 5 This is a visual schematic diagram of the battery diagnostic method provided in the embodiments of this application;

[0056] Figure 6 This is another visual schematic diagram of the battery diagnostic method provided in the embodiments of this application;

[0057] Figure 7 This is another visual schematic diagram of the battery diagnostic method provided in the embodiments of this application;

[0058] Figure 8 This is another visual schematic diagram of the battery diagnostic method provided in the embodiments of this application;

[0059] Figure 9 This is a schematic diagram of one embodiment of the battery diagnostic device provided in this application.

[0060] Figure 10 This is a schematic diagram of an embodiment of the electronic device provided in this application. Detailed Implementation

[0061] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Furthermore, it should be understood that the specific embodiments described herein are only for illustration and explanation of the present invention and are not intended to limit the present invention. In the present invention, unless otherwise stated, directional terms such as "upper" and "lower" generally refer to the upper and lower positions of the device in actual use or operation, specifically the drawing directions in the accompanying drawings; while "inner" and "outer" refer to the outline of the device.

[0062] Current battery diagnostic technologies can assess the consistency of a battery's State of Charge (SOC). Assessing SOC consistency typically involves first estimating the battery's SOC, and then analyzing the SOC to determine its consistency.

[0063] In related technologies, the open-circuit voltage method is commonly used to estimate battery SOC. The principle of the open-circuit voltage method is as follows: the battery is first subjected to a resting period. After this extended resting period, the relationship between the battery's open-circuit voltage and lithium-ion concentration is measured to fit the correlation between the open-circuit voltage and the battery's SOC, thereby estimating the battery's SOC. Although the open-circuit voltage method is simple and convenient, it requires a long period of battery resting, resulting in poor real-time performance of the SOC estimation, which in turn affects the real-time performance of assessing the consistency of the battery's state of charge.

[0064] Furthermore, while the open-circuit voltage method described above is simple and convenient, it reduces the accuracy of the estimated battery SOC. For example, when current flows through the battery, the voltage drop caused by the battery's internal resistance affects the accuracy of the SOC estimation.

[0065] Furthermore, for batteries with a voltage plateau, the voltage difference is small within a certain battery SOC range, and the same voltage value may correspond to multiple battery SOC values. In practical applications, to obtain a stable voltage value, the battery needs to be left undisturbed for a long time, which makes it difficult to meet the real-time requirements of battery diagnostics.

[0066] The voltage plateau period refers to a range in which the battery voltage remains relatively stable during a specific charge and discharge phase.

[0067] This explanation uses lithium iron phosphate (LFP) batteries as an example. Please refer to [link / reference]. Figure 1 , Figure 1 This is the voltage curve of a lithium iron phosphate (LFP) battery. For LFP batteries, when the state of charge (SOC) is between 30% and 80%, the terminal voltage and SOC curves are approximately linear. In this case, the error in estimating the battery SOC using the open-circuit voltage method will be very large.

[0068] Because the voltage curve of lithium iron phosphate batteries has a long voltage plateau segment, there is a considerable SOC range with very small voltage differences, and the same voltage value may correspond to multiple SOC points. In practical applications, the battery needs to be left to stand to obtain a stable OCV value, but the standing time is long, making it difficult to meet real-time requirements. In addition, the open-circuit voltage method cannot measure the SOC during the discharge process, resulting in low accuracy of the estimated battery SOC.

[0069] To address at least some of the aforementioned problems, this application proposes a battery diagnostic method, electronic device, and computer-storable medium to evaluate the consistency of the battery's state of charge (SOC) using battery charge and discharge data, thereby improving the real-time performance of the SOC evaluation.

[0070] like Figure 2 The diagram shown is a flowchart of one embodiment of the battery diagnostic method in this application. The execution subject of this embodiment is an electrical device or a control module in the electrical device. The control module can be a Battery Management System (BMS), a Vehicle Control Unit (VCU), etc. This embodiment uses a BMS as an example for detailed explanation. The battery diagnostic method includes steps 101 to 103:

[0071] Step 101: Based on the battery's charging and discharging data, determine the target pressure difference region formed during the battery's charging and discharging process, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to the preset change trend.

[0072] Here, "battery" refers to a battery that requires state-of-charge consistency diagnosis. This refers to a battery with a voltage plateau, such as a lithium iron phosphate battery.

[0073] Among them, charge and discharge data refers to the relevant data recorded by systems such as BMS during the charging and discharging process of the battery.

[0074] The specific content included in the charge / discharge data can be adjusted according to actual conditions, and this application embodiment does not impose any limitations. Charge / discharge data may include, but is not limited to, time points such as charging time and discharging time, current information, voltage information, SOC value, state information such as charging state and discharging state, and the maximum and minimum voltages of the battery at a specific moment. The maximum voltage indicates the voltage of the highest-voltage individual cell among the battery's individual cells, and the minimum voltage indicates the voltage of the lowest-voltage individual cell among the battery's individual cells.

[0075] It should be noted that SOC values ​​are percentages, and all SOC values ​​mentioned in this application are in percentage form. For example, when an SOC value of 10 is expressed, it actually means 10%.

[0076] The process of acquiring charging and discharging data can be adjusted according to actual conditions, and this application embodiment does not impose any limitations. For example, charging and discharging data can be acquired from the vehicle's BMS system on a daily or monthly basis. Another example is acquiring recorded charging and discharging data from the BMS system in real time.

[0077] The target pressure difference region refers to the region in which the pressure difference change trend conforms to the preset change trend during the charging and discharging process of the battery.

[0078] In one embodiment, the preset trend of change is first rising and then falling. That is, the target pressure difference region refers to the region in which the pressure difference change trend conforms to the pattern of first rising and then falling during the charging and discharging process of the battery.

[0079] In one embodiment, the process of determining the target pressure difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data may include: determining the pressure difference data during the charging and discharging process of the battery based on the charging and discharging data; and determining the target pressure difference region formed during the charging and discharging process of the battery based on the pressure difference change trend in the pressure difference data, wherein the pressure difference change trend of the pressure difference data in the target pressure difference region is first rising and then falling.

[0080] The differential pressure data includes the voltage difference at multiple time points during the battery's charging and discharging process. The voltage difference at a given time point indicates the difference between the battery's maximum and minimum voltage at that point.

[0081] It should be noted that, as Figure 1The voltage curve of the lithium iron phosphate battery shown includes a first voltage plateau, a second voltage plateau, and a third voltage plateau. The region between the maximum voltage at the end of the second voltage plateau and the minimum voltage at the beginning of the third voltage plateau forms a voltage differential arch region. This voltage differential arch region can be used to study the consistency of the state of charge. This voltage differential arch region is the target voltage differential region mentioned in the embodiments of this application. The voltage differential change trend of the voltage differential data in this voltage differential arch region is first rising and then falling.

[0082] For example, based on charge and discharge data, the voltage difference data during the battery's charge and discharge process is determined; based on this voltage difference data, a graph can be plotted as follows: Figure 3 The line graph shown as C represents the differential pressure change curve, which indicates the relationship between differential pressure and time. Based on the trend of differential pressure change shown in this curve, the pressure differential arch region formed during the battery's charging and discharging process can be determined, along with the start and end times of this pressure differential arch region during the charging and discharging process. Based on the start and end times of this pressure differential arch region during the charging and discharging process, [further details can be found in the original text]. Figure 3 In the line graph shown by A, determine the SOC change information corresponding to the arched region of the voltage difference in the charge / discharge data. For example... Figure 3 The red line in the line graph shown as A represents the SOC (State of Charge) change curve, which indicates the relationship between SOC and time. Based on the start and end times of the pressure differential arched region during the charging and discharging process, it can be seen that... Figure 3 In the line graph shown by B, identify the voltage change information corresponding to the arched region of the voltage difference in the charge / discharge data. For example... Figure 3 The lines in the line graph shown in B include the maximum voltage change curve and the minimum voltage change curve. The maximum voltage change curve is used to indicate the correspondence between the maximum voltage and time, and the minimum voltage change curve is used to indicate the correspondence between the minimum voltage and time.

[0083] In this way, by analyzing the differential pressure data determined based on charge and discharge data, the differential pressure arch region formed during the charge and discharge process of the battery can be identified, so as to facilitate subsequent assessment of the state of charge consistency. This solves the problem that the battery needs to be left to stand for a long time before the state of charge consistency can be assessed, thereby realizing real-time assessment of the state of charge consistency.

[0084] It should be noted that in existing battery diagnostic technologies, the open-circuit voltage method cannot diagnose the battery charging process. However, the solution proposed in this application can assess the consistency of the battery's state of charge (SOC) not only during charging but also during discharging.

[0085] However, it should be noted that evaluating the consistency of the battery's state of charge (SOC) during charging is challenging because the voltage difference changes too rapidly in the fast-charging segments (charging data where the current exceeds a preset current threshold), making effective SOC consistency assessment difficult. Therefore, when evaluating SOC consistency during charging, it is necessary to first identify the slow-charging segments (charging data where the current does not exceed a preset current threshold) and analyze the voltage difference arch region based on these slow-charging segments.

[0086] Based on this, before determining the target differential pressure region formed during the charging and discharging process of the battery according to the differential pressure change trend in the differential pressure data, the battery diagnosis method further includes: determining the target time period during the charging process where the current does not exceed a preset current threshold based on the current data of the charging process during the charging and discharging process; filtering out the differential pressure data generated during the target time period from the differential pressure data, and determining the target differential pressure region based on the differential pressure change trend in the filtered differential pressure data.

[0087] Among them, the slow charging segment in the charging data refers to the charging data in which the current does not exceed the preset current threshold during the charging process.

[0088] The preset current threshold is a current value used to distinguish between slow charging and fast charging segments in the charging data. Its specific value can be adjusted according to actual conditions, and this application embodiment does not impose any limitations. For example, the preset current threshold can be set to 30 amps (i.e., 30A). Another example is setting the preset current threshold to 25 amps (i.e., 25A).

[0089] Preferably, the preset current threshold includes 30A.

[0090] Based on this, the charging data corresponding to the target time period when the current does not exceed 30A during the charging process can be filtered and processed. The differential pressure data can be obtained by analyzing the filtered charging data (i.e., slow charging segments). Then, the target differential pressure area can be determined based on the differential pressure change trend in the differential pressure data.

[0091] In this way, by statistically analyzing charging data where the current does not exceed a preset current threshold and determining the differential pressure data based on this charging data, the speed of identifying the differential pressure arch region during battery charging can be improved, thereby increasing the efficiency of evaluating the consistency of the state of charge.

[0092] In one embodiment, the charge / discharge data includes the state of charge.

[0093] Based on this, before determining the target voltage difference region formed during the charging and discharging process of the battery according to the charging and discharging data, the battery diagnosis method further includes: cleaning the charging and discharging data based on the state of charge so that the state of charge of the cleaned charging and discharging data falls within a preset state of charge range.

[0094] The preset state of charge range indicator includes the state of charge of the battery corresponding to the target pressure difference region.

[0095] The preset state of charge range can be adjusted according to actual conditions, and this application embodiment does not impose any restrictions. For example, the preset state of charge range is [40, 90], and the unit is %. Another example is the preset state of charge range [30, 95].

[0096] Taking lithium iron phosphate batteries as an example, the plateau period of the voltage curve of lithium iron phosphate batteries is mainly concentrated in the range of 30-80% (in percentage terms), and the pressure difference arch region is also within this plateau period. Therefore, before determining the target pressure difference region, a preset state of charge range [30, 90] can be set to perform preliminary screening of charge and discharge data, thereby improving the efficiency and accuracy of identifying the pressure difference arch region during the subsequent battery charging process.

[0097] Step 102: Calculate the target ampere-hour integral capacity corresponding to the target pressure difference region based on the charge and discharge data.

[0098] The target ampere-hour integral capacity indicates the ampere-hour integral capacity corresponding to the target differential pressure region, which can be used to evaluate the consistency of the battery's state of charge.

[0099] In one embodiment, the process of calculating the target ampere-hour integral capacity corresponding to the target pressure difference region based on charge and discharge data may include: obtaining the start time and end time of the target pressure difference region during the charge and discharge process; calculating the first ampere-hour integral capacity corresponding to the start time and the second ampere-hour integral capacity corresponding to the end time during the charge and discharge process based on the charge and discharge data; and determining the target ampere-hour integral capacity corresponding to the target pressure difference region based on the difference between the first ampere-hour integral capacity and the second ampere-hour integral capacity.

[0100] The first ampere-hour integral capacity indicates the ampere-hour integral capacity corresponding to the start time of the charge / discharge process in the target voltage differential region. The second ampere-hour integral capacity indicates the ampere-hour integral capacity corresponding to the end time of the charge / discharge process in the target voltage differential region. The target ampere-hour integral capacity indicates the ampere-hour integral capacity corresponding to the target voltage differential region when assessing whether the battery's state-of-charge consistency is abnormal.

[0101] Among them, the ampere-hour integral capacity is a core parameter in the battery management system used to quantify the amount of electricity that a battery can store / release, and it is calculated by integrating the current over time.

[0102] Specifically, the ampere-hour integral capacity can be calculated using the following formula:

[0103]

[0104] Where Q is the ampere-hour integral capacity, t is time (such as the time point corresponding to the end time, or the time point corresponding to the start time, or other time points), n is the number of segments into which time is divided, and i is the i-th segment of time. I is the current.

[0105] It should be noted that the ampere-hour integral capacity during charging and the ampere-hour integral capacity during discharging are calculated separately. The kinetic energy feedback capacity is included when calculating the ampere-hour integral capacity during discharging.

[0106] Specifically, the start and end times of the target pressure difference region during the charging process are obtained; based on the charging data, the first ampere-hour (Ah) integral capacity corresponding to the start time and the second Ah integral capacity corresponding to the end time are calculated; based on the difference between the first and second Ah integral capacities, the target Ah integral capacity corresponding to the target pressure difference region during the charging process is determined. Similarly, the start and end times of the target pressure difference region during the discharging process are obtained; based on the discharging data, the first Ah integral capacity corresponding to the start time and the second Ah integral capacity corresponding to the end time are calculated; based on the difference between the first and second Ah integral capacities, the target Ah integral capacity corresponding to the target pressure difference region during the discharging process is determined.

[0107] Specifically, the target ampere-hour integral capacity can be calculated using the following formula:

[0108] Q 拱形 =|Q end -Q begin |

[0109] Among them, Q 拱形 This refers to the target ampere-hour integral capacity, Q. end This refers to the second ampere-hour integral capacity, Q. begin This refers to the first ampere-hour integral capacity.

[0110] Step 103: Based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determine whether the battery's state of charge consistency is abnormal. Here, state of charge consistency refers to the information measuring the consistency of the state of charge of all individual cells in the battery.

[0111] Thus, using the aforementioned battery diagnostic method, the target voltage difference region formed during the battery's charging and discharging process is determined based on the battery's charging and discharging data. Within this target voltage difference region, the voltage difference change trend conforms to a preset trend. The target ampere-hour integral capacity corresponding to the target voltage difference region is calculated based on the charging and discharging data. Based on this target ampere-hour integral capacity, it is determined whether the battery's state of charge consistency is abnormal. Since charging and discharging data can be acquired in real time, the battery's state of charge consistency can be evaluated in real time, avoiding the problem of poor real-time evaluation caused by battery resting, and improving the real-time performance of the battery's state of charge consistency evaluation.

[0112] In one embodiment, the process of determining whether the battery's state of charge consistency is abnormal based on the target ampere-hour integral capacity corresponding to the target pressure difference region may include: determining a characterization value of the state of charge consistency corresponding to the target pressure difference region based on the target ampere-hour integral capacity and a preset rated capacity; and determining whether the battery's state of charge consistency is abnormal based on the characterization value corresponding to the target pressure difference region.

[0113] The characterization value refers to the numerical value used to characterize the consistency of the state of charge corresponding to the target pressure difference region.

[0114] The characteristic value of the state of charge consistency corresponding to the target pressure difference region can be determined based on the ratio between the target ampere-hour integral capacity corresponding to the target pressure difference region and the preset rated capacity.

[0115] Specifically, the representation value can be determined according to the following formula:

[0116]

[0117] Among them, Q 拱形 This refers to the target ampere-hour integral capacity, Q. nominal This refers to the rated capacity, SOC. cons It refers to the characteristic value of the consistency of the state of charge corresponding to the target pressure difference region.

[0118] In this way, the performance of the pressure difference arch region can be used to quantify the state of charge consistency. The performance of the pressure difference arch region can be determined by the obtained charge and discharge data to evaluate the state of charge consistency of the battery in real time. This avoids the problem of poor real-time evaluation caused by leaving the battery in a static state, and improves the real-time performance of evaluating the state of charge consistency of the battery.

[0119] In one embodiment, the number of the aforementioned target pressure difference regions is at least one, and the specific number can be adjusted according to actual conditions; this application embodiment does not impose any limitations. For example, the number of target pressure difference regions may be one, which can be a single pressure difference arched region formed by the battery during the charging or discharging process. Alternatively, the number of target pressure difference regions may be two or more, which can be multiple pressure difference arched regions formed by the battery during the charging and / or discharging process.

[0120] Based on this, the process of determining whether the battery's state of charge consistency is abnormal based on the characterization value corresponding to the target pressure difference region can include: if there is a characterization value corresponding to a target pressure difference region that is greater than a preset characterization value, then the battery is determined to have an abnormal state of charge consistency.

[0121] The preset characterization value refers to the value used to classify batteries as having abnormal state of charge consistency and those with normal state of charge consistency. The specific value of the preset characterization value can be adjusted according to actual circumstances, and this application embodiment does not impose any limitations. For example, the preset characterization value is set to 15%. Another example is setting the preset characterization value to 14%.

[0122] Preferably, the preset characterization value is set to 15%.

[0123] Specifically, when there is only one target pressure difference region, if the characteristic value corresponding to that target pressure difference region is greater than a preset characteristic value, the battery is determined to have an abnormal state of charge consistency. When there are multiple target pressure difference regions, if the characteristic value corresponding to any one of the target pressure difference regions is greater than a preset characteristic value, the battery is determined to have an abnormal state of charge consistency.

[0124] In this way, by simply comparing the characterization value corresponding to the target pressure difference region with the preset characterization value, it is possible to quickly determine whether the battery's state of charge consistency is abnormal, thus improving the efficiency of evaluating the battery's state of charge consistency.

[0125] In one embodiment, the method further includes: if the characterization value corresponding to each target pressure difference region is not greater than a preset characterization value, then based on the characterization value corresponding to each target pressure difference region, the relative self-discharge rate of the battery is obtained; if the relative self-discharge rate of the battery is greater than the preset rate, then the battery is determined to have an abnormal state of charge consistency; otherwise, the battery is determined to have a normal state of charge consistency.

[0126] The relative self-discharge rate refers to the difference in self-discharge rate between the individual cells contained in the battery. The relative self-discharge rate of the battery can be adjusted according to actual conditions, and this application embodiment does not impose any limitations.

[0127] The preset rate refers to the rate value used to distinguish between batteries with abnormal state of charge consistency and batteries with normal state of charge consistency. The specific value of the preset rate can be adjusted according to actual conditions, and this application embodiment does not impose any restrictions.

[0128] In this way, by combining the characterization value corresponding to the target pressure difference region with the preset characterization value, and by simply comparing the battery's relative self-discharge rate with the preset rate, it is possible to quickly determine whether the battery's state of charge consistency is abnormal, thereby improving the efficiency and accuracy of evaluating the battery's state of charge consistency.

[0129] To facilitate understanding of the battery diagnostic method of this application, a specific embodiment will be used as the concluding description below.

[0130] Please see Figure 4 The specific process of the battery diagnostic method in this application may include:

[0131] Retrieve charge / discharge data for a target time period from an offline database. For example, the target time can be a specified date, or it can include the specified date and historical dates adjacent to it. For instance, the charge / discharge data for the target time period could be the current day's data, plus the data from the previous two days.

[0132] Data cleaning is performed on the charging and discharging data within the target time period. The specific content of data cleaning can be adjusted according to the actual situation, and this application embodiment does not impose any limitations. For example, for charging data, slow charging segments with a current of less than 30A are retained, while fast charging segments are deleted.

[0133] Based on the charge and discharge data after cleaning, the ampere-hour integral capacity during the charging process and the ampere-hour integral capacity during the discharging process are calculated respectively. This determines the state of charge (SOC) in the differential pressure arch region during the charging and / or discharging processes. CONS That is, the target ampere-hour integral capacity corresponding to the target differential pressure region mentioned in the embodiments of this application.

[0134] Based on the pressure difference arched region capacity SOC cons And the defining conditions for whether the battery's state of charge consistency is abnormal, to determine whether the battery's state of charge consistency is abnormal.

[0135] The criteria for determining whether the battery's state of charge consistency is abnormal may include the following:

[0136] Definition Condition 1: SOC cons >15%.

[0137] Among them, defining condition 1 means that when SOC cons When the percentage is greater than 15%, it can be determined that the battery has an abnormal state of charge consistency.

[0138] Definition Condition 2:

[0139] In definition condition 2, Δm represents time variation (e.g., monthly variation). When If so, it can be determined that the relative self-discharge rate of the battery is abnormal, and the battery has an abnormal state of charge consistency.

[0140] This approach resolves issues such as poor real-time performance caused by the need for post-calculation rest, improving the SOC consistency calculation accuracy for battery types with flat OCV curves, such as lithium iron phosphate batteries. Furthermore, incorporating the discharge process into the calculation enhances the overall consistency of the ampere-hour integral calculation data, ensuring accurate results across both long and short time spans. It improves SOC consistency calculation accuracy, allowing for early warning based on trends, thus reducing the occurrence of faults. It is applicable to both charging and discharging processes, offering a wide calculation range. It is suitable for lithium iron phosphate batteries, including power and energy storage systems. The calculation process is simple, does not consume excessive resources, and saves computing power.

[0141] Furthermore, after calculating the characteristic value of the target pressure differential region, the results can be stored back in the database for visualization based on the characteristic value of the target pressure differential region and related data.

[0142] For example, after calculating the characteristic value of the target pressure differential area, the result can be stored back in the database. Based on the characteristic value of the target pressure differential area and related data, it can be used in accordance with, for example... Figure 5 As shown, the visualization displays the changes between the differential pressure value and the corresponding soc value in a certain differential pressure arch region.

[0143] For example, after calculating the characteristic value of the target pressure differential area, the result can be stored back in the database. Based on the characteristic value of the target pressure differential area and related data, it can be used in accordance with, for example... Figure 6 As shown, the SOC of a certain pressure differential arched region is visualized. cons How it changes over the date.

[0144] For example, after calculating the characteristic value of the target pressure differential area, the result can be stored back in the database. Based on the characteristic value of the target pressure differential area and related data, it can be used in accordance with, for example... Figure 7 As shown, the visualization displays how the serial number of the abnormal single cell with the lowest voltage in the battery changes with the date.

[0145] For example, after calculating the characteristic value of the target pressure differential area, the result can be stored back in the database. Based on the characteristic value of the target pressure differential area and related data, it can be used in accordance with, for example... Figure 8As shown, the SOC difference corresponding to the start time and the end time of the pressure differential arch segment are visualized.

[0146] In this way, visualizing battery diagnostics adds to the interactive enjoyment.

[0147] To better implement the above methods, embodiments of the present invention also provide a battery diagnostic device, which can be integrated into an electronic device, such as a terminal or a server.

[0148] like Figure 9 As shown in the illustration, this application also provides a battery diagnostic device, which includes:

[0149] The region determination module 201 is used to determine the target pressure difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to a preset change trend.

[0150] The data calculation module 202 is used to calculate the target ampere-hour integral capacity corresponding to the target pressure difference region based on the charging and discharging data;

[0151] Evaluation module 203 is used to determine whether the battery's state of charge consistency is abnormal based on the target ampere-hour integral capacity corresponding to the target pressure difference region.

[0152] In one embodiment, the aforementioned region determination module 201 is further configured to:

[0153] Based on the charge and discharge data, determine the voltage difference data during the battery's charge and discharge process;

[0154] Based on the pressure difference change trend in the pressure difference data, the target pressure difference region formed during the charging and discharging process of the battery is determined. The pressure difference change trend in the target pressure difference region is first rising and then falling.

[0155] In one embodiment, prior to the aforementioned region determination module 201, the battery diagnostic device further includes:

[0156] Based on the current data during the charging and discharging process, a target time period during which the current does not exceed a preset current threshold is determined.

[0157] The differential pressure data generated during the target time period is filtered out from the differential pressure data, and the target differential pressure area is determined based on the differential pressure change trend in the filtered differential pressure data.

[0158] In one embodiment, the preset current threshold includes 30A.

[0159] In one embodiment, the data calculation module 202 is further configured to:

[0160] Obtain the start and end times of the target differential pressure region during the charging and discharging process;

[0161] Based on the charging and discharging data, calculate the first ampere-hour integral capacity corresponding to the start time of the charging and discharging process, and the second ampere-hour integral capacity corresponding to the end time.

[0162] The target ampere-hour integral capacity corresponding to the target pressure differential region is determined based on the difference between the first ampere-hour integral capacity and the second ampere-hour integral capacity.

[0163] In one embodiment, the evaluation module 203 is further configured to:

[0164] Based on the target ampere-hour integral capacity corresponding to the target pressure difference region and the preset rated capacity, determine the characterization value of the state of charge consistency corresponding to the target pressure difference region;

[0165] Based on the characterization values ​​corresponding to the target pressure difference region, determine whether the battery's state of charge consistency is abnormal.

[0166] In one embodiment, the number of the aforementioned target pressure differential regions is at least one.

[0167] Based on this, the above-mentioned determination of whether the battery's state of charge consistency is abnormal based on the characterization values ​​corresponding to the target pressure difference region also includes:

[0168] If there is a target pressure difference region whose corresponding characterization value is greater than the preset characterization value, then the battery is determined to have an abnormal state of charge consistency.

[0169] In one embodiment, the battery diagnostic device further includes:

[0170] If the characterization value corresponding to each target pressure difference region is not greater than the preset characterization value, then the relative self-discharge rate of the battery is obtained based on the characterization value corresponding to each target pressure difference region.

[0171] If the relative self-discharge rate of the battery is greater than the preset rate, the battery is determined to have an abnormal state of charge consistency; otherwise, the battery is determined to have a normal state of charge consistency.

[0172] In one embodiment, before determining the target voltage difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data, the battery diagnostic device further includes:

[0173] The charge and discharge data are cleaned based on the state of charge so that the state of charge of the cleaned charge and discharge data falls within the preset state of charge range.

[0174] Thus, using the aforementioned battery diagnostic device, the region determination module 201 determines the target voltage difference region formed during the battery's charging and discharging process based on the battery's charging and discharging data. Within this target voltage difference region, the voltage difference change trend of the battery conforms to a preset trend. The data calculation module 202 calculates the target ampere-hour integral capacity corresponding to the target voltage difference region based on the charging and discharging data. The evaluation module 203 determines whether the battery's state of charge consistency is abnormal based on the target ampere-hour integral capacity corresponding to the target voltage difference region. Since charging and discharging data can be acquired in real time, the battery's state of charge consistency can be evaluated in real time using this data. This avoids the problem of poor real-time evaluation caused by allowing the battery to rest, thus improving the real-time performance of the battery's state of charge consistency evaluation.

[0175] This application also provides an electronic device that integrates any of the battery diagnostic devices provided in this application, the electronic device comprising:

[0176] One or more processors;

[0177] Memory; and

[0178] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor as described in any of the embodiments of the above battery diagnostic method.

[0179] This application also provides an electronic device that integrates any of the battery diagnostic devices provided in this application. For example... Figure 10 As shown, it illustrates a structural schematic diagram of the electronic device involved in the embodiments of this application, specifically:

[0180] The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will understand that... Figure 10 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.

[0181] in:

[0182] The processor 301 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 302, and by calling data stored in the memory 302, thereby providing overall monitoring of the electronic device. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 301.

[0183] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and data processing by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as audible and visual prompts, alarm functions, etc.), etc.; the data storage area may store data created based on the use of the electronic device. In addition, the memory 302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0184] The electronic device also includes a power supply 303 that supplies power to various components. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 303 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.

[0185] The electronic device may also include an input unit 304, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0186] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 301 in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory 302 according to the following instructions, and the processor 301 runs the applications stored in the memory 302 to realize various functions, as follows:

[0187] Based on the battery's charging and discharging data, the target pressure difference region formed during the battery's charging and discharging process is determined, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to the preset change trend.

[0188] Calculate the target ampere-hour integral capacity corresponding to the target differential pressure region based on the charge and discharge data;

[0189] Based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determine whether the battery's state of charge consistency is abnormal.

[0190] 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.

[0191] Therefore, embodiments of this application provide a computer-readable storage medium, which may include: read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk, etc. A computer program is stored thereon, which is loaded by a processor to execute the steps in any of the battery diagnostic methods provided in embodiments of this application. For example, the computer program loaded by the processor can execute the following steps:

[0192] Based on the battery's charging and discharging data, the target pressure difference region formed during the battery's charging and discharging process is determined, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to the preset change trend.

[0193] Calculate the target ampere-hour integral capacity corresponding to the target differential pressure region based on the charge and discharge data;

[0194] Based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determine whether the battery's state of charge consistency is abnormal.

[0195] This application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, are used to perform the steps in any of the battery diagnostic methods provided in the application embodiments.

[0196] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the detailed descriptions of other embodiments above, which will not be repeated here.

[0197] In practice, each of the above units or structures can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units or structures, please refer to the previous method embodiments, which will not be repeated here.

[0198] The embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. 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 the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A battery diagnostic method, characterized in that, The method includes: Based on the battery's charging and discharging data, a target pressure difference region formed during the charging and discharging process of the battery is determined, wherein the pressure difference change trend of the battery in the target pressure difference region conforms to a preset change trend. Based on the charge and discharge data, calculate the target ampere-hour integral capacity corresponding to the target pressure difference region; Based on the target ampere-hour integral capacity corresponding to the target pressure difference region, determine whether the state of charge consistency of the battery is abnormal.

2. The battery diagnostic method according to claim 1, characterized in that, The step of determining the target pressure difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data includes: Based on the charge and discharge data, determine the differential pressure data during the charge and discharge process of the battery; Based on the pressure difference change trend in the pressure difference data, the target pressure difference region formed during the charging and discharging process of the battery is determined, wherein the pressure difference change trend of the pressure difference data in the target pressure difference region is first rising and then falling.

3. The battery diagnostic method according to claim 2, characterized in that, Before determining the target pressure difference region formed during the charging and discharging process of the battery based on the pressure difference change trend in the pressure difference data, the method further includes: Based on the current data during the charging process, a target time period during which the current does not exceed a preset current threshold is determined. The differential pressure data generated during the target time period are filtered from the differential pressure data, and the target differential pressure region is determined based on the differential pressure change trend in the filtered differential pressure data.

4. The battery diagnostic method according to claim 3, characterized in that, The preset current threshold includes 30A.

5. The battery diagnostic method according to claim 1, characterized in that, The step of calculating the target ampere-hour integral capacity corresponding to the target pressure difference region based on the charge and discharge data includes: The start and end times of the target differential pressure region during the charging and discharging process are obtained; Based on the charging and discharging data, calculate the first ampere-hour integral capacity corresponding to the start time and the second ampere-hour integral capacity corresponding to the end time during the charging and discharging process. The target ampere-hour integral capacity corresponding to the target pressure differential region is determined based on the difference between the first ampere-hour integral capacity and the second ampere-hour integral capacity.

6. The battery diagnostic method according to claim 1, characterized in that, The step of determining whether the battery's state-of-charge consistency is abnormal based on the target ampere-hour integral capacity corresponding to the target pressure difference region includes: Based on the target ampere-hour integral capacity corresponding to the target pressure difference region and the preset rated capacity, determine the characterization value of the state of charge consistency corresponding to the target pressure difference region; Based on the characterization value corresponding to the target pressure difference region, determine whether the state of charge consistency of the battery is abnormal.

7. The battery diagnostic method according to claim 6, characterized in that, The number of target pressure difference regions is at least one, and the step of determining whether the battery's state of charge consistency is abnormal based on the characterization value corresponding to the target pressure difference region includes: If there exists a target pressure difference region whose characteristic value is greater than a preset characteristic value, then the battery is determined to have an abnormal state of charge consistency.

8. The battery diagnostic method according to claim 7, characterized in that, The method further includes: If the characterization value corresponding to each of the target pressure difference regions is not greater than the preset characterization value, then the relative self-discharge rate of the battery is obtained based on the characterization value corresponding to each of the target pressure difference regions. If the relative self-discharge rate of the battery is greater than the preset rate, the battery is determined to have an abnormal state of charge consistency; otherwise, the battery is determined to have a normal state of charge consistency.

9. The battery diagnostic method according to any one of claims 1 to 8, characterized in that, Before determining the target voltage difference region formed during the charging and discharging process of the battery based on the battery's charging and discharging data, the method further includes: The charge and discharge data are cleaned based on the state of charge so that the state of charge of the cleaned charge and discharge data falls within a preset state of charge range.

10. An electronic device, characterized in that, It includes a memory and a processor; the memory stores an application program, and the processor is used to run the application program within the memory to perform the steps in the battery diagnostic method according to any one of claims 1 to 9.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the steps of the battery diagnostic method according to any one of claims 1 to 9.

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