Battery dynamic anomaly detection method and device, storage medium and electronic equipment

Abstract

The application discloses a battery dynamic anomaly detection method and device, a storage medium and an electronic device. The method comprises the following steps: determining a predetermined reference voltage corresponding to a plurality of states of charge of a battery pack, and an average internal resistance of the battery pack in the plurality of states of charge, wherein the battery pack comprises a plurality of battery monomers; acquiring a current minimum monomer voltage corresponding to a current state of charge of the battery pack, wherein the plurality of states of charge comprises the current state of charge; and determining an anomaly detection result of the battery pack based on the predetermined reference voltage corresponding to the plurality of states of charge, the current minimum monomer voltage and the average internal resistance. The application solves the technical problem of low battery anomaly detection efficiency in the related art.

Description

Technical Field

[0001] This invention relates to the field of battery anomaly detection technology, and more specifically, to a method, apparatus, storage medium, and electronic device for detecting dynamic anomalies in batteries. Background Technology

[0002] Currently, power batteries are widely used in new energy vehicles. Due to their high energy density and high energy output, employing efficient anomaly detection methods to determine their condition is crucial for ensuring safe and stable application. Related technologies typically utilize Battery Management Systems (BMS), which use voltage sensors to monitor the voltage of each individual battery cell in real time. If the voltage of a battery cell exceeds the normal range, the BMS identifies it as an anomaly. However, these technologies cannot directly detect existing performance degradation in certain individual cells, as they do not monitor their operational status during charging and discharging. This results in detection only occurring when the anomaly is severe or causes abnormal charging and discharging, leading to less than ideal anomaly detection efficiency.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, storage medium, and electronic device for detecting dynamic anomalies in batteries, thereby at least solving the technical problem of unsatisfactory battery anomaly detection efficiency in related technologies.

[0005] According to one aspect of the present invention, a battery dynamic anomaly detection method is provided, comprising: determining a predetermined reference voltage corresponding to a battery pack in multiple states of charge, and the average internal resistance of the battery pack in the multiple states of charge, wherein the battery pack includes a plurality of individual battery cells; obtaining the current minimum individual cell voltage corresponding to the battery pack in the current state of charge, wherein the multiple states of charge include the current state of charge; and determining an anomaly detection result of the battery pack based on the predetermined reference voltage corresponding to the multiple states of charge, the current minimum individual cell voltage, and the average internal resistance.

[0006] Optionally, determining the predetermined reference voltage corresponding to the battery pack in each of the multiple states of charge includes: determining a first rate range for charging and discharging the battery pack; acquiring first historical voltage data of the battery pack in the first rate range in each of the multiple states of charge during historical charging and discharging cycles prior to the current charging and discharging cycle, wherein the current charging and discharging cycle includes the current state of charge; and, if there are multiple historical charging and discharging cycles, determining the predetermined reference voltage corresponding to the battery pack in each of the multiple states of charge based on the first historical voltage data corresponding to each of the multiple historical charging and discharging cycles.

[0007] Optionally, determining the predetermined reference voltage corresponding to the battery pack in each of the multiple states of charge based on the first historical voltage data corresponding to each of the multiple historical charge-discharge cycles includes: for any state of charge among the multiple states of charge, determining the historical minimum single-cell voltage of the battery pack in each of the multiple historical charge-discharge cycles based on the first historical voltage data corresponding to each of the multiple historical charge-discharge cycles; averaging the minimum single-cell voltages corresponding to each of the multiple historical charge-discharge cycles for each of the multiple states of charge to obtain the average value corresponding to the arbitrary state of charge; determining the average value corresponding to each of the multiple states of charge using the same method as determining the average value corresponding to the arbitrary state of charge; and determining the predetermined reference voltage corresponding to the battery pack in each of the multiple states of charge based on the average value corresponding to each of the multiple states of charge.

[0008] Optionally, determining the average internal resistance of the battery pack under multiple states of charge includes: determining a second rate range where the rate is greater than the first rate range; acquiring second historical voltage data of the battery pack in the second rate range during the multiple states of charge within the historical charge-discharge cycles; and, if there are multiple historical charge-discharge cycles, determining the average internal resistance of the battery pack corresponding to each of the multiple states of charge based on the second historical voltage data corresponding to the multiple historical charge-discharge cycles and the predetermined reference voltage.

[0009] Optionally, the time interval between the historical charge / discharge cycle and the current charge / discharge cycle is less than a predetermined interval threshold, and the first rate range is determined based on the battery performance of the plurality of battery cells included in the battery pack.

[0010] Optionally, determining the anomaly detection result of the battery pack based on the predetermined reference voltage corresponding to each of the multiple states of charge, the current minimum single-cell voltage, and the average internal resistance includes: determining a target state of charge that matches the current state of charge among the multiple states of charge, and a target reference voltage corresponding to the target state of charge; obtaining the current charging / discharging current of the battery pack; determining the single-cell internal resistance voltage divider of the battery pack based on the current charging / discharging current and the average internal resistance; and determining the anomaly detection result based on the target reference voltage, the current minimum single-cell voltage, and the single-cell internal resistance voltage divider.

[0011] Optionally, determining the anomaly detection result based on the target reference voltage, the current minimum cell voltage, and the cell internal resistance voltage divider includes: determining the cell reference value by subtracting the cell internal resistance voltage divider from the target reference voltage; determining the proportion of the current minimum cell voltage to the cell reference value; and determining the anomaly detection result as an anomaly of the battery pack if the proportion is less than a predetermined proportion threshold.

[0012] Optionally, after determining that the anomaly detection result indicates that the battery pack is abnormal, the method further includes: determining the anomaly level of the battery pack based on the ratio value; and determining the anomaly handling strategy for the battery pack based on the anomaly level.

[0013] According to another aspect of the present invention, a battery dynamic anomaly detection device is provided, comprising: a determining module, configured to determine a predetermined reference voltage corresponding to a battery pack in various states of charge, and an average internal resistance of the battery pack in the various states of charge, wherein the battery pack includes a plurality of battery cells; an acquiring module, configured to acquire a current minimum single-cell voltage corresponding to the battery pack in a current state of charge, wherein the various states of charge include the current state of charge; and a detecting module, configured to determine an anomaly detection result of the battery pack based on the predetermined reference voltage corresponding to the various states of charge, the current minimum single-cell voltage, and the average internal resistance.

[0014] According to another aspect of the present invention, a non-volatile storage medium is provided, the non-volatile storage medium storing a plurality of instructions adapted for loading by a processor and executing any one of the battery dynamic anomaly detection methods described herein.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising: one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any one of the battery dynamic anomaly detection methods.

[0016] In this embodiment of the invention, a predetermined reference voltage corresponding to various states of charge (SOCs) of the battery pack is determined, along with the average internal resistance of the battery pack under these SOCs. The battery pack comprises multiple individual cells. The current minimum single-cell voltage corresponding to the current SOC is obtained, where the various SOCs include the current SOC. Based on the predetermined reference voltages corresponding to the various SOCs, the current minimum single-cell voltage, and the average internal resistance, the anomaly detection result of the battery pack is determined. This achieves the goal of predicting battery failures before actual damage to individual cells, thus improving the efficiency of battery anomaly detection and solving the technical problem of unsatisfactory battery anomaly detection efficiency in related technologies. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0018] Figure 1 This is a flowchart of an optional battery dynamic anomaly detection method provided according to an embodiment of the present invention;

[0019] Figure 2 This is a schematic diagram of an optional battery dynamic anomaly detection method provided according to an embodiment of the present invention;

[0020] Figure 3 This is a schematic diagram of an optional battery dynamic anomaly detection device provided according to an embodiment of the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] For ease of description, the following explains some of the nouns or terms used in the embodiments of this application:

[0024] Open circuit voltage (OCV) is the voltage of a battery or battery pack measured when there is no load in the circuit. When there is no external load, the internal chemical reactions of the battery are not affected by external current. Open circuit voltage is the battery's static voltage and can be used to estimate the battery's state of charge and health. Open circuit voltage is related to the battery's state of charge; generally, a higher open circuit voltage indicates a higher state of charge, while a lower open circuit voltage indicates a lower state of charge. Therefore, measuring the open circuit voltage of a battery can provide a preliminary assessment of its state of charge, thus helping to understand the battery's condition.

[0025] State of Charge (SOC) refers to the ratio between the actual amount of charge stored in a battery or battery pack and its rated capacity. SOC can be expressed as a percentage, indicating the battery's current remaining charge. SOC is a quantifiable and descriptive indicator of a battery's state of charge, and it is crucial for battery use and management because battery performance and lifespan are closely related to its SOC. Overcharging or over-discharging negatively impacts battery lifespan; therefore, properly controlling the battery's SOC can extend its lifespan. Furthermore, within a battery pack, differences in SOC among different cells can affect the pack's balance and performance; therefore, SOC balance management of the battery pack is also very important.

[0026] The internal resistance of a battery is caused by a combination of factors, including internal chemical reactions, electrolyte, electrode materials, and battery structure. Internal resistance mainly consists of two parts: inter-electrode resistance and polarization resistance. Higher internal resistance leads to a decrease in the battery's output voltage, making the actual output voltage lower than the theoretical voltage. It also reduces the battery's ability to operate under high loads, thus weakening its overall output capacity.

[0027] Related technologies use voltage threshold methods to test each individual battery cell, which can determine whether an individual cell has experienced overcharging or over-discharging during the current charge / discharge process. However, it cannot directly detect whether there are abnormalities in the performance of an individual battery cell. For example, if there is an imbalance problem among the individual cells in a battery pack, this imbalance will gradually worsen with use, leading to a decrease in the charge / discharge capacity of the battery pack and affecting actual use. However, abnormal electrical performance of an individual battery cell, unlike direct damage, does not affect charge / discharge processing; it only leads to a decrease in the battery's charge / discharge capacity. The voltage threshold method used in related technologies cannot directly detect these abnormalities, resulting in unsatisfactory anomaly detection efficiency.

[0028] To address the aforementioned problems, this invention provides a method embodiment for detecting dynamic anomalies in batteries. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0029] Figure 1 This is a flowchart of a battery dynamic anomaly detection method according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0030] Step S102: Determine the predetermined reference voltage corresponding to the battery pack in various states of charge, and the average internal resistance of the battery pack in various states of charge, wherein the battery pack includes multiple battery cells.

[0031] It is understandable that a battery pack has multiple states of charge (SOC) from empty to fully charged, and each SOC has a corresponding predetermined reference voltage as a reference voltage for normal operation. Furthermore, since the internal resistance of the battery pack is affected by different states of charge or charge / discharge states, in order to reduce interference from dynamic processes, the average internal resistance of the battery in multiple states of charge can be determined.

[0032] It's important to note that, from a static perspective, the internal resistance of a single battery cell is related to material properties, such as the conductivity of its positive and negative electrode materials; higher conductivity results in lower internal resistance. It's also related to the electrolyte concentration; higher electrolyte concentration leads to faster ion transport and lower internal resistance. From a dynamic perspective, charging and discharging power affects internal resistance measurement. Higher charging and discharging power results in faster chemical reactions and increased ion transport, potentially leading to a lower measured internal resistance. Therefore, when performing internal resistance testing, it's crucial to select an appropriate charging / discharging power ratio or perform static measurements to avoid influencing the results.

[0033] In one optional embodiment, determining the predetermined reference voltage corresponding to the battery pack in various states of charge includes: determining a first rate range for charging and discharging the battery pack; acquiring first historical voltage data of the battery pack in the first rate range in various states of charge during historical charging and discharging cycles prior to the current charging and discharging cycle, wherein the current charging and discharging cycle includes the current state of charge; and, if there are multiple historical charging and discharging cycles, determining the predetermined reference voltage corresponding to the battery pack in various states of charge based on the first historical voltage data corresponding to the multiple historical charging and discharging cycles.

[0034] It can be understood that the first rate range for charging and discharging the battery pack can be considered a low-rate range. Within the historical charge and discharge cycles prior to the current cycle, the battery pack can obtain historical voltage data corresponding to various states of charge, and the data within the first rate range can be processed. In other words, for each state of charge, the first historical voltage data within the quasi-static range is obtained, since the determined predetermined reference voltage is relatively accurate.

[0035] Optionally, the aforementioned first rate range can be determined based on battery capacity and battery electrical performance, set as [-0.5C, 0.5C], where C represents the battery capacity, and the current in C units is a multiple of the battery capacity. If a single battery cell has a capacity of 2000mAh, then charging and discharging at 0.5C means the current is 2000mAh × 0.5 = 1000mA. According to the set first rate range, the current during charging or discharging will not exceed 1000mA. Charging and discharging at a C rate is used to standardize the description of the battery's charging and discharging rate, facilitating comparison of battery performance. Different charging and discharging rates will affect battery performance and lifespan. Generally, lower charging and discharging rates can improve battery life, but the charging and discharging speed is slower; while higher charging and discharging rates can provide higher current output or input, but may shorten battery life.

[0036] It should be noted that defining the first rate range as a small rate range is to reduce the polarization effect. Polarization refers to the electrochemical reactions that occur during battery operation, forming a polarization film on the electrode surface. This polarization film has a certain resistive property in current transmission. As the discharge current increases, the polarization effect intensifies, leading to an increase in the voltage drop across the polarization film and consequently a decrease in the battery's actual output voltage, thus affecting the accuracy of the predetermined reference voltage.

[0037] In one optional embodiment, based on first historical voltage data corresponding to multiple historical charge-discharge cycles, a predetermined reference voltage corresponding to multiple states of charge of the battery pack is determined, including: for any state of charge among the multiple states of charge, based on the first historical voltage data corresponding to multiple historical charge-discharge cycles, determining the historical minimum single-cell voltage of the battery pack in any state of charge corresponding to multiple historical charge-discharge cycles; averaging the minimum single-cell voltages corresponding to any state of charge in multiple historical charge-discharge cycles to obtain the average value corresponding to any state of charge; determining the average value corresponding to multiple states of charge by using the method of determining the average value corresponding to any state of charge; and determining the predetermined reference voltage corresponding to multiple states of charge of the battery pack based on the average value corresponding to multiple states of charge.

[0038] It can be understood that each of the multiple historical charge-discharge cycles is a charge-discharge cycle from empty to fully charged. Each cycle corresponds to multiple states of charge (SOCs). For any SOC among these SOCs, the first historical voltage data for that SOC in each historical charge-discharge cycle can be obtained, thereby determining the historical minimum single-cell voltage for that SOC in each of the multiple historical charge-discharge cycles. For any SOC, the average of its corresponding minimum single-cell voltages across multiple historical charge-discharge cycles is obtained as the average value for that SOC. Using the same method, the average values ​​corresponding to multiple SOCs can be obtained, determining the predetermined reference voltages for the battery pack at each of the multiple SOCs.

[0039] Optionally, assuming multiple historical charge-discharge cycles are periodic in days, the historical minimum single-cell voltages collected on the nth day over the past 5 days, n = 1...5, are denoted as V1, V2, V3, V4, V5. Taking the historical minimum single-cell voltage V1 on the first day as an example, under the conditions of SOC = 1, 2, ..., 98, 99, 100, it can be represented as V1 SOC1 V1 SOC2 ..., V1 SOC98 V1 SOC99 V1 SOC100 All historical minimum single-cell voltage values ​​in Table 1 were obtained within the first multiplier range. This first multiplier range can be set to [-1A, 1A] in terms of current values, where A is the unit of amperes, negative values ​​indicate the charging state, and positive values ​​indicate the discharging state.

[0040] Table 1

[0041]

[0042] Optionally, Figure 2This is a schematic diagram of an optional battery dynamic anomaly detection method provided by an embodiment of the present invention. The predetermined reference voltages corresponding to the various states of charge can be described in the form of an OCV-SOC table, such as... Figure 2 As shown, this represents 100 states of charge, each corresponding to a predetermined reference voltage. Figure 2 The values ​​shown are for illustrative purposes only and are not intended to be specific.

[0043] In one optional embodiment, determining the average internal resistance of the battery pack in multiple states of charge includes: determining a second rate range where the rate is greater than a first rate range; acquiring second historical voltage data of the battery pack in the second rate range in multiple states of charge during historical charge-discharge cycles; and, if there are multiple historical charge-discharge cycles, determining the average internal resistance of the battery pack in each of the multiple states of charge based on the second historical voltage data corresponding to the multiple historical charge-discharge cycles and a predetermined reference voltage.

[0044] It's understandable that the selected second rate range is larger than the first rate range. In other words, the battery pack won't always be in a low-rate quasi-static state during normal charging and discharging. A higher discharge rate will result in a lower output voltage under the same conditions. Therefore, the selected second historical voltage data can better represent the voltage limit state of individual cells. By determining the second historical voltage data and the predetermined reference voltage corresponding to multiple historical charge-discharge cycles, the average internal resistance of the battery pack under various states of charge can be determined.

[0045] Optionally, the aforementioned second historical voltage data is determined by identifying the minimum single-cell voltage value within the second rate range during multiple historical charge-discharge cycles for any state of charge among various states of charge.

[0046] Optionally, taking SOC=100 as an example, the predetermined reference voltage at this SOC is denoted as V. 基soc100 The second historical voltage data is denoted as V. s ′ oc100 The internal resistance R with SOC = 100 is obtained in the following way. SOC100 :

[0047] V 基soc100 -V s ′ oc100 =I soc100 R SOC100

[0048] Among them, I soc100 To obtain V s ′ oc100 The current value measured at that time was within the second-highest possible rate range.

[0049] When SOC = 100 is obtained, the internal resistance R SOC100 Using the same method, we can obtain the internal resistance R corresponding to the specific SOC assignment values, SOC = 1, 2, 3...100. SOC1 R SOC2 R SOC3 ...R SOC100 The average internal resistance can be obtained in the following way.

[0050]

[0051] Among them, R SOCm Let be the internal resistance of the m-th charged state.

[0052] In one optional embodiment, the time interval between the historical charge-discharge cycle and the current charge-discharge cycle is less than a predetermined interval threshold, and the first rate range is determined based on the battery performance of the multiple battery cells included in the battery pack.

[0053] It's understandable that batteries have their own usage cycle and lifespan. As usage time increases, the battery's electrochemical performance will change. If the time interval between the current charge / discharge cycle and the current cycle exceeds a predetermined threshold, it can be considered a significant departure from the actual state of the current battery pack. For example, historical voltage data from one year ago differs greatly from the current battery state and is difficult to support with data. The aforementioned first rate range is determined based on the battery performance of the multiple individual cells included in the battery pack. This is because the first rate range is a small range, set according to specific performance characteristics, such as 0.1C for battery A, 0.5C for battery B, and so on.

[0054] Step S104: Obtain the current minimum single cell voltage corresponding to the current state of charge of the battery pack, wherein the multiple states of charge include the current state of charge;

[0055] It is understandable that obtaining the current minimum single-cell voltage of the battery pack under its current state of charge can reflect the current actual state.

[0056] Step S106: Based on the predetermined reference voltage corresponding to each of the various states of charge, the current minimum single-cell voltage, and the average internal resistance, determine the abnormal detection result of the battery pack.

[0057] It is understandable that by using the predetermined reference voltage and average internal resistance corresponding to various states of charge, as well as the actual minimum single-cell voltage collected, the abnormal detection results of the battery pack can be obtained.

[0058] In one optional embodiment, the abnormality detection result of the battery pack is determined based on the predetermined reference voltage corresponding to each of the multiple states of charge, the current minimum single-cell voltage, and the average internal resistance. This includes: determining the target state of charge that matches the current state of charge among the multiple states of charge, and the target reference voltage corresponding to the target state of charge; obtaining the current charging and discharging current of the battery pack; determining the single-cell internal resistance voltage divider of the battery pack based on the current charging and discharging current and the average internal resistance; and determining the abnormality detection result based on the target reference voltage, the current minimum single-cell voltage, and the single-cell internal resistance voltage divider.

[0059] Understandably, based on the current state of charge (SOC), a target SOC can be matched among multiple SOCs, and the corresponding target reference voltage can be determined. Based on the current charge / discharge current and average internal resistance, the voltage divider of each individual cell's internal resistance is determined. The voltage divider of each individual cell's internal resistance affects its output voltage; that is, the larger the voltage divider of the individual cell's internal resistance, the smaller the current minimum individual cell voltage, and the easier it is to over-discharge. Excessive internal resistance is also a manifestation of battery abnormality. Based on the target reference voltage, the current minimum individual cell voltage, and the voltage divider of the individual cell's internal resistance, the abnormality detection result can be determined.

[0060] In one optional embodiment, an anomaly detection result is determined based on a target reference voltage, the current minimum cell voltage, and the cell internal resistance voltage divider. This includes: determining a cell reference value by subtracting the cell internal resistance voltage divider from the target reference voltage; determining the proportion of the current minimum cell voltage to the cell reference value; and determining the anomaly detection result as a battery pack anomaly if the proportion is less than a predetermined proportion threshold.

[0061] It is understandable that subtracting the voltage division of the individual cell's internal resistance from the target reference voltage yields the individual cell reference value, which is considered a reference value for a normal state. The proportion of the current minimum cell voltage to the individual cell reference value is then determined. In other words, the smaller the proportion, the lower the current minimum cell voltage and the greater the degree of abnormality. If the aforementioned proportion is less than a predetermined threshold, the abnormality detection result can be determined as a battery pack abnormality.

[0062] Optionally, the aforementioned minimum single-cell voltage was acquired when the current charge / discharge current was within the second rate range. Assuming the target state of charge (SOC) is 50%, the corresponding target reference voltage V... 基soc50 Under these circumstances, the current minimum single-cell voltage is denoted as V. 当前min The current charge / discharge current is denoted as I. 当前 The voltage divider of the internal resistance of a single cell can be expressed as: The monomer reference value can be expressed as Assuming the predetermined percentage threshold is 90%, the percentage value L can be obtained in the following way:

[0063]

[0064] When L is less than 90%, it is considered that the internal resistance of the single cell is too high, and abnormal electrical performance has occurred. The smaller the value of L, the more serious the abnormality.

[0065] In an optional embodiment, after determining that the anomaly detection result is a battery pack anomaly, the method further includes: determining the anomaly severity level of the battery pack based on a ratio value; and determining an anomaly handling strategy for the battery pack based on the anomaly severity level.

[0066] It is understandable that the degree of abnormality of the battery pack can be determined according to the ratio, and the corresponding abnormality handling strategy can be determined according to the degree of abnormality.

[0067] Optionally, if the anomaly level is less than a predetermined threshold, a battery balancing method is used to supplement the charging of the identified abnormal cell, ensuring that the cells in the battery pack have a similar charging state. If the anomaly level exceeds the predetermined threshold, a replacement and repair prompt is given, or, if a backup battery branch is available, a BYPASS device is used to disconnect the branch containing the abnormal battery. The BYPASS device is used to switch and adjust the branch in the event of a battery failure, ensuring normal power supply to the electrical load.

[0068] Through the above steps S102 to S106, the purpose of predicting battery failure before the actual damage of a single cell can be achieved, thus realizing the technical effect of improving the efficiency of battery anomaly detection and solving the technical problem of unsatisfactory battery anomaly detection efficiency in related technologies.

[0069] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation method, which is applied to new energy vehicles using ternary lithium batteries.

[0070] Step S1: Use the on-board diagnostic tool to obtain historical data samples from the past 5 days. Each historical data sample must include information on the lowest cell voltage, state of charge, and current data. The number of historical data samples must be no less than 50.

[0071] Step S2: Select historical data samples whose current values ​​are in the range of [-1A, 1A], i.e., the first multiplier range, as the first historical voltage data for each state of charge.

[0072] Step S3: Based on the first historical voltage data for each state of charge over the above 5 days, determine the lowest individual cell voltage for each day under that state of charge. For each state of charge, average the lowest individual cell voltage over the 5-day period to obtain a predetermined reference voltage for each state of charge. Then, establish an OCV-SOC correspondence table based on the predetermined reference voltage and the corresponding state of charge.

[0073] Step S4: Select the second historical voltage data with a charge / discharge current value greater than 1A, and determine the average internal resistance under various charging states according to the OCV-SOC correspondence table.

[0074] Step S5: Obtain the current charging / discharging current of the new energy vehicle while it is in operation. If the current charging / discharging current is greater than 1A, the voltage division of the individual cell's internal resistance can be determined based on the current charging / discharging current and the average internal resistance. The target reference voltage can be determined according to the target state of charge that matches the current state of charge, and then the reference value of the individual cell can be determined.

[0075] Step S6: If the ratio of the current minimum cell voltage to the cell reference value is less than a predetermined ratio threshold (e.g., set to 90%), it is determined that the battery pack is abnormal.

[0076] The above optional implementation methods achieve at least the following effects: better detection efficiency for abnormal internal resistance of individual cells in the battery pack, timely identification and judgment of cell abnormalities in the ternary lithium batteries of new energy vehicles during driving, and can provide safer and more reliable driving protection for new energy vehicles.

[0077] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0078] This embodiment also provides a battery dynamic anomaly detection device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the terms "module" and "device" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0079] According to embodiments of the present invention, an apparatus embodiment for implementing a battery dynamic anomaly detection method is also provided. Figure 3 This is a schematic diagram of a battery dynamic anomaly detection device according to an embodiment of the present invention, such as... Figure 3 As shown, the above-mentioned battery dynamic anomaly detection device includes: a determination module 302, an acquisition module 304, and a detection module 306. The device will be described below.

[0080] The determining module 302 is used to determine the predetermined reference voltage corresponding to the battery pack in various states of charge, and the average internal resistance of the battery pack in various states of charge, wherein the battery pack includes multiple battery cells.

[0081] The acquisition module 304, connected to the determination module 302, is used to acquire the current minimum single cell voltage corresponding to the current state of charge of the battery pack, wherein the multiple states of charge include the current state of charge.

[0082] The detection module 306, connected to the acquisition module 304, is used to determine the abnormal detection results of the battery pack based on the predetermined reference voltage corresponding to various states of charge, the current minimum single cell voltage, and the average internal resistance.

[0083] In a battery dynamic anomaly detection device provided in this embodiment of the invention, a determining module 302 is used to determine the predetermined reference voltage corresponding to various states of charge (SOCs) of the battery pack, and the average internal resistance of the battery pack under various SOCs, wherein the battery pack includes multiple individual battery cells; an acquiring module 304, connected to the determining module 302, is used to acquire the current minimum single-cell voltage corresponding to the current SOC of the battery pack, wherein the various SOCs include the current SOC; and a detecting module 306, connected to the acquiring module 304, is used to determine the anomaly detection result of the battery pack based on the predetermined reference voltage corresponding to various SOCs, the current minimum single-cell voltage, and the average internal resistance. This achieves the goal of predicting battery faults before actual damage to individual battery cells, realizing the technical effect of improving the efficiency of battery anomaly detection, and thus solving the technical problem of unsatisfactory battery anomaly detection efficiency in related technologies.

[0084] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0085] It should be noted that the determining module 302, the acquiring module 304, and the detecting module 306 mentioned above correspond to steps S102 to S106 in the embodiments. The instances and application scenarios implemented by these modules and their corresponding steps are the same, but they are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of the device, can run on a computer terminal.

[0086] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0087] The aforementioned battery dynamic anomaly detection device may also include a processor and a memory. The determination module 302, the acquisition module 304, the detection module 306, etc., are all stored as program units in the memory, and the processor executes the aforementioned program units stored in the memory to realize the corresponding functions.

[0088] The processor contains a core that retrieves the corresponding program unit from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0089] This invention provides a non-volatile storage medium storing a program that, when executed by a processor, implements a method for detecting dynamic battery anomalies.

[0090] This invention provides an electronic device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: determining predetermined reference voltages corresponding to various states of charge (SOCs) of the battery pack, and the average internal resistance of the battery pack under various SOCs, wherein the battery pack includes multiple individual battery cells; obtaining the current minimum single-cell voltage corresponding to the current SOC of the battery pack, wherein the various SOCs include the current SOC; and determining an anomaly detection result for the battery pack based on the predetermined reference voltages corresponding to the various SOCs, the current minimum single-cell voltage, and the average internal resistance. The device described herein may be a server, PC, etc.

[0091] The present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: determining a predetermined reference voltage corresponding to a battery pack in various states of charge, and the average internal resistance of the battery pack in various states of charge, wherein the battery pack includes multiple battery cells; obtaining the current minimum cell voltage corresponding to the current state of charge, wherein the various states of charge include the current state of charge; and determining the abnormality detection result of the battery pack based on the predetermined reference voltage corresponding to each of the various states of charge, the current minimum cell voltage, and the average internal resistance.

[0092] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0094] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0096] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0097] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0098] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0099] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0100] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0101] The above are merely embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for detecting dynamic anomalies in batteries, characterized in that, include: Determine a predetermined reference voltage for the battery pack in various states of charge, and the average internal resistance of the battery pack in the various states of charge, wherein the battery pack includes multiple individual battery cells, and the predetermined reference voltage is determined based on the average value of the minimum individual cell voltage corresponding to the corresponding state of charge in multiple historical charge and discharge cycles; Obtain the current minimum single-cell voltage corresponding to the current state of charge of the battery pack, wherein the multiple states of charge include the current state of charge; Based on the predetermined reference voltage corresponding to the various states of charge, the current minimum single-cell voltage, and the average internal resistance, the abnormal detection result of the battery pack is determined.

2. The method according to claim 1, characterized in that, Determining the predetermined reference voltages corresponding to the various states of charge of the battery pack includes: Determine the first rate range for charging and discharging the battery pack; Obtain first historical voltage data of the battery pack in the first rate range in the various states of charge during historical charge and discharge cycles prior to the current charge and discharge cycle, wherein the current charge and discharge cycle includes the current state of charge; When there are multiple historical charge-discharge cycles, the predetermined reference voltage corresponding to the battery pack in each of the multiple states of charge is determined based on the first historical voltage data corresponding to the multiple historical charge-discharge cycles.

3. The method according to claim 2, characterized in that, The step of determining the predetermined reference voltage corresponding to the battery pack in the various states of charge based on the first historical voltage data corresponding to multiple historical charge-discharge cycles includes: For any state of charge among the multiple states of charge, based on the first historical voltage data corresponding to the multiple historical charge and discharge cycles, the historical minimum single cell voltage of the battery pack in the arbitrary state of charge corresponding to the multiple historical charge and discharge cycles is determined. The average value corresponding to the arbitrary state of charge is obtained by averaging the minimum single-cell voltage corresponding to each of the multiple historical charge-discharge cycles for each arbitrary state of charge. The average values ​​corresponding to the various states of charge are determined by determining the average value corresponding to the arbitrary state of charge. Based on the average values ​​corresponding to the multiple states of charge, the predetermined reference voltage corresponding to the battery pack for each of the multiple states of charge is determined.

4. The method according to claim 2, characterized in that, Determining the average internal resistance of the battery pack under various states of charge includes: Determine a second magnification range where the magnification is greater than the first magnification range; Acquire second historical voltage data of the battery pack in the second rate range during the various states of charge and discharge cycles; When there are multiple historical charge-discharge cycles, the average internal resistance of the battery pack corresponding to the multiple states of charge is determined based on the second historical voltage data corresponding to the multiple historical charge-discharge cycles and the predetermined reference voltage.

5. The method according to claim 2, characterized in that, The time interval between the historical charge / discharge cycle and the current charge / discharge cycle is less than a predetermined interval threshold, and the first rate range is determined based on the battery performance of the plurality of battery cells included in the battery pack.

6. The method according to any one of claims 1 to 5, characterized in that, Based on the predetermined reference voltage corresponding to the various states of charge, the current minimum single-cell voltage, and the average internal resistance, the abnormality detection result of the battery pack is determined, including: Determine the target state of charge that matches the current state of charge among the various states of charge, and the target reference voltage corresponding to the target state of charge; Obtain the current charge / discharge current of the battery pack; Based on the current charge / discharge current and the average internal resistance, the individual cell internal resistance voltage of the battery pack is determined; The anomaly detection result is determined based on the target reference voltage, the current minimum cell voltage, and the cell internal resistance voltage divider.

7. The method according to claim 6, characterized in that, The determination of the anomaly detection result based on the target reference voltage, the current minimum single-cell voltage, and the single-cell internal resistance voltage divider includes: Determine the target reference voltage minus the voltage divider value of the individual cell's internal resistance; Determine the proportion of the current minimum cell voltage to the cell reference value; If the ratio value is less than a predetermined ratio threshold, the abnormal detection result is determined to be an abnormality of the battery pack.

8. The method according to claim 7, characterized in that, After determining that the anomaly detection result indicates a battery pack anomaly, the method further includes: Based on the aforementioned ratio value, the level of abnormality of the battery pack is determined; Based on the level of anomaly, an anomaly handling strategy for the battery pack is determined.

9. A battery dynamic anomaly detection device, characterized in that, include: A determination module is used to determine a predetermined reference voltage corresponding to the battery pack in various states of charge, and the average internal resistance of the battery pack in the various states of charge, wherein the battery pack includes multiple battery cells, and the predetermined reference voltage is determined based on the average value of the minimum single cell voltage corresponding to the corresponding state of charge in multiple historical charge and discharge cycles. The acquisition module is used to acquire the current minimum single-cell voltage corresponding to the current state of charge of the battery pack, wherein the multiple states of charge include the current state of charge; The detection module is used to determine the abnormal detection result of the battery pack based on the predetermined reference voltage corresponding to the various states of charge, the current minimum single cell voltage, and the average internal resistance.

10. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores multiple instructions, which are adapted to be loaded by a processor and executed by the battery dynamic anomaly detection method according to any one of claims 1 to 8.

11. An electronic device, characterized in that, include: One or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the battery dynamic anomaly detection method according to any one of claims 1 to 8.

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