Battery safety warning method and system, electric vehicle, and computer-readable storage medium

Abstract

The application relates to the technical field of battery safety, and discloses a battery safety early warning method and system, an electric vehicle and a computer readable storage medium, wherein the battery safety early warning method comprises the following steps: when a battery is in a constant-voltage charging phase, voltage signals of each cell of the battery are acquired according to a preset time interval; based on the voltage signals of each cell, a voltage change rate sequence corresponding to each cell is calculated; if the voltage change rate sequence of any cell meets a preset abnormality judgment condition, the cell meeting the preset abnormality judgment condition is marked as a risk cell, and a voltage attenuation rate of the risk cell is collected; and in response to the voltage attenuation rate exceeding a preset threshold range of a reference discharge rate, a high-risk alarm is generated. Therefore, hidden failure signs are mined from voltage evolution trends before the battery enters an obvious overvoltage state, and high-confidence active safety early warning is realized.

Description

Technical Field

[0001] This application relates to the field of battery safety technology, and in particular to a battery safety early warning method, system, electric vehicle, and computer-readable storage medium. Background Technology

[0002] With the widespread adoption of electric bicycles, electric motorcycles, and electric vehicles, lithium batteries, as their core power source, are directly related to the safety of users' lives and property and the sustainable development of the industry. Currently, most mainstream electric vehicles use power battery packs composed of multiple lithium-ion cells connected in series and parallel, and are equipped with battery management systems for charge and discharge management, state estimation, and safety monitoring. In actual charging scenarios, the battery management system typically collects parameters such as individual cell voltage, current, temperature, and total voltage in real time, and triggers overvoltage, overtemperature, overcurrent, or imbalance alarms based on preset static thresholds.

[0003] However, in the early stages of latent degradation such as long-term cycling, micro-short circuits, lithium plating, interfacial film thickening, or mechanical stress-induced cracking, the macroscopic electrical parameters of the battery cell are often still within the nominal threshold range. Existing battery management systems lack the ability to model the mapping relationship between the microscopic degradation mechanism of the battery cell and the dynamic electrochemical response. Their alarm logic relies heavily on manually set rigid thresholds and cannot identify the early evolution trend of the degradation process. Therefore, they generally suffer from problems such as high false alarm rate, frequent false alarms, and delayed warnings. They are unable to provide risk identification results with engineering usability before the thermal runaway chain reaction is triggered, and they cannot reserve effective intervention or escape time for users. Summary of the Invention

[0004] In view of this, embodiments of this application provide a battery safety early warning method, system, electric vehicle, and computer-readable storage medium, which can effectively solve the technical problem in the prior art that it is difficult to accurately identify potential safety risks in the early stages of lithium battery charging.

[0005] In a first aspect, embodiments of this application provide a battery safety warning method, the method comprising: When the battery is in the constant voltage charging stage, the voltage signal of each cell of the battery is acquired according to a preset time interval. Based on the multiple voltage signals of each cell, calculate the voltage change rate sequence corresponding to each cell. If the voltage change rate sequence of any cell meets the preset anomaly judgment condition, the cell that meets the preset anomaly judgment condition is marked as a risk cell; Collect the voltage decay rate of the risky battery cell; A high-risk alarm is generated in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate.

[0006] In some embodiments, the preset anomaly determination criteria include any one of the following: The first condition is that the initial voltage change rate of the voltage change rate sequence is non-negative and the final voltage change rate is negative. The second point: The initial voltage change rate of the voltage change rate sequence is negative, and the voltage change rate of the voltage change rate sequence is still negative when the voltage change rate of the voltage change rate sequence corresponding to the other cells converges to zero; The third item: The signs of the voltage change rates in the voltage change rate sequence alternate.

[0007] In some embodiments, the step of collecting the voltage decay rate of the risky battery cell includes: After the battery completes the constant voltage charging phase, the voltage of the risk cell is obtained as the first voltage; After the battery completes the constant voltage charging phase and is left to stand for a preset time, the voltage of the risk cell of the battery is obtained as the second voltage. The voltage decay rate of the risky battery cell is calculated based on the first voltage, the second voltage, and the preset duration.

[0008] In some embodiments, acquiring the voltage signals of each cell of the battery according to a preset time interval when the battery is in a constant voltage charging phase includes: When the battery is in the constant voltage charging stage and the charging current of the battery decays to a preset current threshold, the voltage signal of each cell of the battery is acquired at a preset time interval. Wherein, the preset current threshold is greater than the constant voltage charging cutoff current of the battery.

[0009] In some embodiments, the value of the constant voltage charging cutoff current is a value corresponding to a preset proportion of the rated capacity of the battery.

[0010] In some embodiments, acquiring the voltage signals of each cell of the battery according to a preset time interval when the battery is in a constant voltage charging phase includes: While the battery is in the constant voltage charging phase, the ambient temperature of the battery is obtained. When the ambient temperature is within a preset temperature range, the voltage signal of each of the battery cells is acquired according to the preset time interval.

[0011] In some embodiments, acquiring the voltage signals of each cell of the battery according to a preset time interval when the battery is in a constant voltage charging phase includes: Calculate the change in voltage signal acquired between two consecutive measurements for each of the battery cells; In response to the change value continuously exceeding a preset fluctuation threshold for a preset number of times, the preset time interval is extended to the extended time interval, and the voltage signal of each of the cells is obtained according to the extended time interval.

[0012] Secondly, embodiments of this application provide a battery safety early warning system, including: The acquisition module is used to acquire the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage. The calculation module is used to calculate the voltage change rate sequence corresponding to each battery cell based on the multiple voltage signals of each battery cell. The marking module is used to mark the battery cell that meets the preset anomaly judgment condition as a risk battery cell if the voltage change rate sequence of any battery cell meets the preset anomaly judgment condition. The data acquisition module is used to acquire the voltage decay rate of the risky battery cell; The generation module is used to generate a high-risk alarm in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate.

[0013] Thirdly, embodiments of this application provide an electric vehicle, the electric vehicle including a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the battery safety warning method described in the first aspect above.

[0014] Fourthly, embodiments of this application provide a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the battery safety warning method described in the first aspect.

[0015] The embodiments of this application have the following beneficial effects: The battery safety early warning method of this application includes: acquiring the voltage signals of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage; calculating the voltage change rate sequence corresponding to each cell based on multiple voltage signals of each cell; if the voltage change rate sequence of any cell meets a preset anomaly judgment condition, marking the cell that meets the preset anomaly judgment condition as a risk cell, collecting the voltage decay rate of the risk cell, and generating a high-risk alarm in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate. This application extracts the dynamic voltage change rate sequence of each cell in the critical stage of constant voltage charging with low polarization and high signal-to-noise ratio, and constructs a multi-modal preset anomaly judgment condition strongly coupled with the actual degradation mode, thereby discovering hidden failure signs from the voltage evolution trend before the battery enters a significant overvoltage state, and realizing a high-confidence proactive safety early warning. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A schematic diagram of a battery system according to an embodiment of this application is shown; Figure 2 A first flowchart of the battery safety warning method according to an embodiment of this application is shown; Figure 3 A second flowchart of the battery safety warning method according to an embodiment of this application is shown; Figure 4 A schematic diagram of the third process of the battery safety warning method according to an embodiment of this application is shown; Figure 5 This paper illustrates a schematic diagram of the first curve formed by the voltage signal and time signal of each cell of a lithium battery acquired in real time according to an embodiment of this application. Figure 6 A schematic diagram of the fourth process of the battery safety warning method according to an embodiment of this application is shown; Figure 7 This paper illustrates a second curve diagram showing the voltage signal and time signal of each lithium battery cell acquired in real time according to an embodiment of this application. Figure 8 This paper illustrates a third curve diagram formed by the voltage signal and time signal of each lithium battery cell acquired in real time according to an embodiment of this application.

[0018] Explanation of key component symbols: 110: Acquisition module; 120: Calculation module; 130: Marking module; 140: Acquisition module; 150: Generation module. Detailed Implementation

[0019] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0020] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] In the following text, the terms "comprising," "having," and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more combinations thereof. Furthermore, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0022] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.

[0023] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0024] Considering the technical challenge of accurately identifying potential safety risks in the early stages of lithium battery charging in existing technologies, this application provides a battery safety early warning method, system, electric vehicle, and computer-readable storage medium. This application extracts the dynamic voltage change rate sequence of each cell during the critical low-polarity, high signal-to-noise ratio stage of constant-voltage charging and constructs multi-modal preset anomaly judgment conditions strongly coupled with actual degradation modes. This allows for the discovery of latent failure signs from voltage evolution trends before the battery enters a significant overvoltage state, achieving a high-confidence proactive safety early warning.

[0025] Figure 1A schematic diagram of a battery safety early warning system according to an embodiment of this application is shown. Exemplarily, the battery safety early warning system includes a battery, an acquisition module 110, a calculation module 120, and a marking module 130. Exemplarily, the battery is a lithium battery, including multiple cells connected in series. The acquisition module 110 is connected to each cell and is used to collect the voltage signal of each individual cell during the charging process in real time, and transmit the voltage signal to the calculation module 120. The calculation module 120 performs calculations based on the voltage signal to generate a voltage change rate sequence corresponding to each cell. The marking module 130 receives the output result of the calculation module 120, identifies cells with safety risks according to preset anomaly judgment conditions, and logically marks them. The acquisition module 140 collects the voltage decay rate of the marked risk cells, thereby triggering a graded response action from the generation module 150. The system of this application can be integrated into a battery management system chip to achieve real-time early warning at the edge, or deployed in a charging cabinet backend server to support large-scale data collaborative analysis; no limitation is made here.

[0026] The following examples illustrate the battery safety warning method.

[0027] Figure 2 A schematic flowchart of a battery safety warning method according to an embodiment of this application is shown. Exemplarily, the battery safety warning method includes S101-S106: S101: When the battery is in the constant voltage charging stage, the voltage signal of each cell of the battery is acquired according to a preset time interval.

[0028] Specifically, the battery charging process is divided into two stages: constant current charging and constant voltage charging. This method only performs voltage acquisition during the constant voltage charging stage. Because the charging current continuously decreases during this stage, the polarization effect is significantly weaker than in the constant current stage, which is beneficial for obtaining a voltage value closer to the thermodynamic equilibrium state of the battery cell. Exemplarily, the starting point of constant voltage charging corresponds to a battery state of charge of 85% of the total battery capacity. This threshold can cover the actual operating range of most household and hallway charging scenarios.

[0029] The preset time interval can be set according to the accuracy of the voltage measurement equipment. If the sampling interval is too short, measurement spikes are easily misjudged as real voltage jumps. For example, the preset time interval is set to thirty seconds to ensure the accuracy of data acquisition. Furthermore, when the voltage fluctuation values ​​collected in multiple consecutive samples are less than or equal to the accuracy of the voltage measurement equipment, the system automatically selects the voltage value with the highest frequency as the effective sampling point to eliminate accidental jump noise and ensure the stability and representativeness of the input data.

[0030] To further enhance the system's adaptability in real-world usage environments, this application introduces a dynamic sampling interval adjustment mechanism. For example... Figure 3 As shown, the adjustment steps include S201-S202: S201, calculate the change value of the voltage signal acquired by each cell in two consecutive transactions.

[0031] The change in voltage signal between two consecutive acquisitions of each cell is calculated based on the acquired voltage signal.

[0032] S202, in response to the change value continuously exceeding the preset fluctuation threshold for a preset number of times, the preset time interval is extended to the extended time interval, and the voltage signal of each cell is obtained according to the extended time interval.

[0033] The system allows for setting preset fluctuation thresholds and preset number of occurrences based on actual application conditions. For example, if the change value exceeds 0.5V three consecutive times, it is determined that frequent plugging / unplugging or contact disturbances have occurred. In this case, the system automatically extends the preset time interval to 120 seconds, acquiring the voltage signal of each cell every 120 seconds. Furthermore, a sliding window averaging filter can be enabled to smooth the subsequent voltage sequence. This adjustment mechanism directly addresses the typical user behavior of repeated plugging / unplugging checks. By extending the observation period and enhancing signal filtering capabilities, it effectively suppresses false triggers caused by unstable mechanical contact, ensuring the reliability of early warning decisions.

[0034] To ensure the physical accuracy of voltage change rate calculation, the triggering timing of voltage acquisition can be further defined. Specifically, the system can acquire the voltage signals of each cell of the battery at preset time intervals when the battery is in the constant-voltage charging stage and the charging current decays to a preset current threshold. The preset current threshold is greater than the battery's constant-voltage charging cutoff current. The constant-voltage charging cutoff current can be set according to the actual application. For example, the value of the constant-voltage charging cutoff current is a preset proportion of the battery's rated capacity. For instance, the constant-voltage charging cutoff current is one-twentieth of the battery's rated capacity. The preset current threshold is then set to two-tenths or three-tenths of the battery's rated capacity. This setting is determined based on the polarization recovery characteristics of lithium batteries. Within the range where the current is higher than the cutoff current but has significantly decayed, ion migration within the cell tends to stabilize, and the measured voltage better reflects the battery's intrinsic electrochemical state, thus providing more accurate data for subsequent voltage change rate sequence calculations.

[0035] To achieve a deep match between the early warning logic and the actual charging scenarios of electric bicycles, the S101 also incorporates an ambient temperature judgment process. For example... Figure 4 As shown, steps S301-S302 are included: S301 acquires the ambient temperature of the battery during the constant voltage charging phase.

[0036] The ambient temperature of the battery can be obtained through a temperature sensor.

[0037] S302: When the ambient temperature is within the preset temperature range, the voltage signal of each cell is acquired at a preset time interval.

[0038] By way of example, voltage signal acquisition is only permitted when the ambient temperature is between 15 and 35 degrees Celsius. This temperature range covers typical civilian charging locations such as living rooms, hallways, and shared charging stations. Within this temperature range, the aging mechanisms of lithium batteries, such as the growth of solid electrolyte interfacial films and lithium dendrite precipitation, exhibit significantly accelerated characteristics. At the same time, the side reaction interference or conductivity reduction caused by excessively high or low temperatures is effectively avoided, ensuring that the early warning model always operates within the real-world operating conditions where high-risk failures are most likely to occur.

[0039] S102, based on multiple voltage signals of each cell, calculate the voltage change rate sequence corresponding to each cell.

[0040] Voltage change rate = ,in, This represents the number of samples, which is a natural number. Indicates the first The voltage of a single cell measured in the second sampling. Indicates the first The voltage of a single cell measured in the second sampling. This refers to the preset time interval. This indicator directly characterizes the evolution trend of the cell voltage per unit time, without relying on battery models or lookup tables. It can sensitively reflect early degradation characteristics such as changes in charge transfer impedance within the cell and increased rates of interfacial side reactions. For example, when... A persistently negative and non-convergent value indicates an irreversible phase transition or micro-short circuit within the battery cell; when If the symbols alternate regularly, it indicates contact defects such as loose connectors or poorly connected solder joints.

[0041] S103, if the voltage change rate sequence of any cell meets the preset anomaly judgment condition, the cell that meets the preset anomaly judgment condition is marked as a risk cell.

[0042] Exemplary, the preset anomaly detection criteria include any one of the following three items: the first item is that the initial voltage change rate of the voltage change rate sequence is non-negative and the final voltage change rate is negative, i.e. ≥0, Ultimately less than 0. For example... Figure 5 The d-curve, e-curve, and f-curve.

[0043] The second term is that the initial voltage change rate of the voltage change rate sequence is negative, and the voltage change rate of the voltage change rate sequence remains negative even when the voltage change rate of the voltage change rate sequences corresponding to the other cells converges to zero. For example... Figure 5Even when the normal charging curves, such as curves a and b, have paralleled each other (i.e., the rate of voltage change converges to zero), the rate of voltage change of curves d and e remains negative.

[0044] The third term is the alternating sign of the voltage change rate sequence. That is, three consecutive sampling points sequentially show a positive-negative-positive or negative-positive-negative sign. For example... Figure 5 The c-curve reflects voltage transient oscillations caused by sudden local short circuits or separator perforation. The three categories of criteria cover the typical risk paths of lithium batteries from contact failure and gradual degradation to sudden failure, forming a complete technical coverage system.

[0045] S104 collects the voltage decay rate of the risky battery cell.

[0046] After marking the battery cells, the voltage decay rate of the marked risky cells can be further monitored, and alarm information can be generated based on the decay rate. In one implementation, such as... Figure 6 As shown, the voltage decay rate of the risky battery cells is collected in S401-S403: S401 obtains the voltage of the risk cell as the first voltage after the battery completes the constant voltage charging stage.

[0047] After the battery is fully charged, the voltage of the at-risk cell is obtained as the first voltage.

[0048] S402, after the battery completes the constant voltage charging stage and is left to stand for a preset time, obtains the voltage of the risk cell of the battery as the second voltage.

[0049] The preset duration can be set according to the actual application. For example, the voltage of the same risk cell can be obtained as the second voltage after the battery has completed the constant voltage charging stage and been left to stand for 72 hours.

[0050] S403 calculates the voltage decay rate of the risky battery cell based on the first voltage, the second voltage, and the preset duration.

[0051] The voltage decay rate is the ratio of the first voltage minus the second voltage to the preset duration.

[0052] S105 generates a high-risk alarm in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate.

[0053] The reference discharge rate can be the measured statistical value of a normal battery cell obtained from the experiment. For example, the preset threshold range is set to 160% of the reference discharge rate. That is, when the voltage decay rate of the risky battery cell exceeds 160% of the reference discharge rate, the system pushes a high-confidence risk alarm to the background. S106, in response to the voltage decay rate being within a preset threshold range of the reference discharge rate, initiates a low-risk observation strategy.

[0054] When the voltage decay rate of a risky battery cell does not exceed 160% of the baseline discharge rate, it enters a low-risk observation mode, which can extend the tracking cycle and reduce the alarm level. This dual-stage verification mechanism combines dynamic anomaly identification during charging with static performance degradation verification after resting, forming a closed-loop judgment logic that significantly improves the reliability and practicality of the early warning results.

[0055] As another implementation method, after the battery completes the constant voltage charging stage, the battery can be self-discharged to obtain the self-discharge amount of each cell. Then, based on the comparison of the self-discharge amount of the risk cell with the self-discharge amount of other cells, it can be determined whether to issue a high-risk alarm.

[0056] like Figure 7 As shown, in one embodiment, a lithium battery for electric bicycles with a 1-in-10-in-1 parallel structure was used for testing, with each cell represented by a curve of a corresponding color. The battery underwent constant current charging at 0.5 times its rated capacity, with the upper limit of the charging voltage set at 41.7V. The cutoff current during the constant voltage charging phase was 0.05 times the battery's rated capacity. The background system recorded the voltage data of each individual cell throughout the charging process.

[0057] Point A represents the point where the battery current reaches the preset current threshold, i.e., the moment voltage sampling begins. For demonstration purposes, the preset current threshold is 0.2 times the battery's rated capacity. When the charging current decreases to 0.2 times the battery's rated capacity, the initial voltage change rate k0 of all nine cells except cell 4 is greater than zero. As the charging current continues to decrease, the voltage of all cells slowly rises, and the corresponding voltage change rate continuously decreases. For normal cells, the voltage change rate approaches zero and remains stable approximately 5000 seconds after charging begins; however, the voltage change rate of cell 4 remains negative throughout, showing no signs of convergence. To further verify this, a seven-day static self-discharge test was conducted on all cells. The results showed that the voltage drop of the other cells was 4 to 5 millivolts, while the voltage drop of cell 4 reached 18 millivolts, significantly higher than the normal range, confirming an early safety risk.

[0058] like Figure 8As shown, in another embodiment, a lithium battery for electric bicycles with a 1-parallel, 10-series structure was also selected for verification, with each cell represented by a curve of corresponding color. The battery was charged at a constant current of 0.5 times its rated capacity, with a charging voltage ceiling of 41.7V. The constant voltage charging cutoff current was 0.05 times the battery's rated capacity. Point B represents the point where the battery current reached the preset current threshold, i.e., the point where voltage sampling began. Observations revealed that during the constant current charging stage, cell number 10 exhibited the most significant polarization, indicating that its internal impedance was higher than other cells in the same group, suggesting a higher potential failure probability. Upon entering the constant voltage stage, as the current further decreased, the voltage change rate of the other cells gradually decreased and approached zero. However, the voltage change rate of cell number 10 was negative from the beginning and remained negative throughout the constant voltage process, even after the voltage change rates of other cells converged to zero. The concurrent seven-day self-discharge test showed that the voltage drop of the other cells was 4 to 5 millivolts, while the voltage drop of cell No. 10 was 25 millivolts, far exceeding the normal fluctuation range, further confirming that it has irreversible degradation and early safety risks.

[0059] like Figure 1 As shown, based on the method of the above embodiments, this embodiment provides a battery safety warning system, which, exemplary, includes: The acquisition module 110 is used to acquire the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage. The calculation module 120 is used to calculate the voltage change rate sequence corresponding to each battery cell based on multiple voltage signals of each battery cell. The marking module 130 is used to mark the battery cell that meets the preset anomaly judgment condition as a risk battery cell if the voltage change rate sequence of any battery cell meets the preset anomaly judgment condition.

[0060] The acquisition module 140 is used to acquire the voltage decay rate of the risky battery cell; The generation module 150 is used to generate a high-risk alarm in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate.

[0061] In one embodiment, the generation module 150 is further configured to initiate a low-risk observation strategy in response to the voltage decay rate being within a preset threshold range of the reference discharge rate.

[0062] It is understood that the system in this embodiment corresponds to the security warning method in the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described again here.

[0063] This application also provides an electric vehicle, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to enable the device to perform the functions of the various modules in the above-described battery safety warning method or battery safety warning system. Exemplarily, the electric vehicle is an electric two-wheeled vehicle, but it could also be an electric three-wheeled vehicle, an electric four-wheeled vehicle, etc.

[0064] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.

[0065] Memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), and Electrically Erasable Programmable Read-Only Memory (EEPROM). Memory is used to store computer programs, and the processor can execute these programs upon receiving execution instructions.

[0066] This application also provides a computer-readable storage medium for storing computer programs used in the aforementioned electric vehicle. For example, the computer-readable storage medium may include, but is not limited to, various media capable of storing program code, such as a USB flash drive, a portable hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0067] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0068] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0069] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a smartphone, personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0070] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A battery safety early warning method, characterized in that, The method includes: When the battery is in the constant voltage charging stage, the voltage signal of each cell of the battery is acquired according to a preset time interval. Based on the multiple voltage signals of each cell, calculate the voltage change rate sequence corresponding to each cell. If the voltage change rate sequence of any cell meets the preset anomaly judgment condition, the cell that meets the preset anomaly judgment condition is marked as a risk cell; Collect the voltage decay rate of the risky battery cell; A high-risk alarm is generated in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate; The preset anomaly determination conditions include any one of the following: The first condition is that the initial voltage change rate of the voltage change rate sequence is non-negative and the final voltage change rate is negative. The second point: The initial voltage change rate of the voltage change rate sequence is negative, and the voltage change rate of the voltage change rate sequence is still negative when the voltage change rate of the voltage change rate sequence corresponding to the other cells converges to zero; The third item: The signs of the voltage change rates in the voltage change rate sequence alternate; The voltage decay rate of the risky battery cell collected includes: After the battery completes the constant voltage charging phase, the voltage of the risk cell is obtained as the first voltage; After the battery completes the constant voltage charging phase and is left to stand for a preset time, the voltage of the risk cell of the battery is obtained as the second voltage. Based on the first voltage, the second voltage, and the preset duration, the voltage decay rate of the risky battery cell is calculated; The step of acquiring the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage includes: When the battery is in the constant voltage charging phase and the charging current of the battery decays to a preset current threshold, the voltage signal of each cell of the battery is acquired at preset time intervals. Wherein, the preset current threshold is greater than the constant voltage charging cutoff current of the battery.

2. The battery safety early warning method according to claim 1, characterized in that, The value of the constant voltage charging cutoff current is a value corresponding to a preset proportion of the rated capacity of the battery.

3. The battery safety early warning method according to claim 1, characterized in that, The step of acquiring the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage includes: While the battery is in the constant voltage charging phase, the ambient temperature of the battery is obtained. When the ambient temperature is within a preset temperature range, the voltage signal of each of the battery cells is acquired according to the preset time interval.

4. The battery safety early warning method according to claim 1, characterized in that, The step of acquiring the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage includes: Calculate the change in voltage signal acquired between two consecutive measurements for each of the battery cells; In response to the change value continuously exceeding a preset fluctuation threshold for a preset number of times, the preset time interval is extended to the extended time interval, and the voltage signal of each of the cells is obtained according to the extended time interval.

5. A battery safety early warning system, characterized in that, The battery safety warning system is used to implement the battery safety warning method according to any one of claims 1-4, including: The acquisition module is used to acquire the voltage signal of each cell of the battery according to a preset time interval when the battery is in the constant voltage charging stage. The calculation module is used to calculate the voltage change rate sequence corresponding to each battery cell based on the multiple voltage signals of each battery cell. The marking module is used to mark the battery cell that meets the preset anomaly judgment condition as a risk battery cell if the voltage change rate sequence of any battery cell meets the preset anomaly judgment condition. The data acquisition module is used to acquire the voltage decay rate of the risky battery cell; The generation module is used to generate a high-risk alarm in response to the voltage decay rate exceeding a preset threshold range of the reference discharge rate.

6. An electric vehicle, characterized in that, The electric vehicle includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the battery safety warning method according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed on a processor, implements the steps of the battery safety warning method according to any one of claims 1-4.

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