Battery cell monitoring method and related equipment

Abstract

The invention provides a battery cell monitoring method and related equipment, and relates to the technical field of battery cell monitoring, the battery cell monitoring method is applied to a battery system, the battery system comprises at least one group of battery cells and wireless monitoring equipment arranged on each battery cell, and the method comprises the following steps: collecting battery cell parameters through the wireless monitoring equipment; the battery cell parameters comprise battery cell internal resistance, voltage and temperature; judging the state of the battery cell according to the real-time parameters, the parameter changes and the corresponding parameter thresholds; and according to a determination result, carrying out alarm operation. The parameters of the battery cell are collected through wireless monitoring equipment, the state of the battery cell is judged according to the real-time parameters, parameter changes and corresponding parameter thresholds, and then alarm operation is carried out; according to the method, the mutual influence and restriction relation between the battery cells in the battery system are considered, a multi-level early warning mechanism is designed, and meanwhile, a parameter threshold setting method based on historical data and an anomaly detection model is adopted, so that the accuracy and reliability of parameter thresholds are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of battery cell monitoring, and in particular to a battery cell monitoring method and related equipment. Background Art

[0002] With the widespread adoption of electronic devices like electric vehicles and smartphones, the safety, stability, and performance of battery systems, as their core energy supply, have become a key focus within the industry. Battery systems typically consist of multiple cells, and the performance and condition of each cell directly impact the performance and service life of the entire battery system. Therefore, real-time monitoring and early warning of cell status have become an integral part of battery system management.

[0003] Battery monitoring technology is used to detect, evaluate, and monitor the status of batteries (i.e., cells). It is primarily used in battery management systems (BMS) to ensure battery safety, reliability, and performance. Various sensors are installed in the battery pack to obtain various parameters. These parameters are then transmitted to the BMS for analysis and processing to achieve safe management of the battery pack.

[0004] Traditional battery cell monitoring methods mostly rely on wired connections and data collection. This approach is not only complex and costly in terms of wiring, but also has problems such as poor data real-time performance and difficult maintenance. With the development of wireless monitoring technology, more and more researchers have begun to explore battery cell monitoring methods based on wireless monitoring technology.

[0005] Existing battery monitoring technologies can only capture individual parameters of the battery compartment, but are unable to directly measure each cell within it. This makes it difficult to immediately identify abnormal cell conditions, resulting in delayed detection of abnormal cell conditions and failing to meet user requirements for timely detection of abnormal battery conditions. Many methods assess the status of individual cells based solely on parameter changes, ignoring the interplay and constraints between cells within the battery system as a whole. Furthermore, some methods are relatively simplistic in their early warning mechanism design, lacking differentiation and refinement of different warning levels, making them difficult to meet the needs of diverse scenarios. Summary of the Invention

[0006] Based on the above problems, the present invention proposes a battery cell monitoring method and related equipment, which collects battery cell parameters through wireless monitoring equipment, and judges the battery cell status based on real-time parameters, parameter changes and corresponding parameter thresholds, and then performs alarm operations; not only takes into account the mutual influence and constraint relationship between battery cells within the battery system, but also designs a multi-level early warning mechanism to meet the needs of different scenarios; at the same time, adopts a parameter threshold setting method based on historical data and anomaly detection model to improve the accuracy and reliability of parameter thresholds.

[0007] The present application provides a battery cell monitoring method, which is applied to a battery system. The battery system includes at least one group of battery cells and a wireless monitoring device provided on each of the battery cells. The method includes:

[0008] Collecting battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature;

[0009] Determine the state of the battery cell based on real-time parameters, parameter changes, and corresponding parameter thresholds;

[0010] Perform alarm operations based on the judgment results.

[0011] Preferably, the internal resistance, voltage and temperature of the battery cell each include multiple thresholds, and the voltage thresholds of the battery cell during charging and discharging are different.

[0012] Preferably, the battery system includes a plurality of battery cells, the battery cell internal resistance threshold includes a single battery cell internal resistance threshold and a battery system total internal resistance threshold; the battery cell voltage threshold includes a single battery cell internal resistance threshold and a battery system total voltage threshold;

[0013] The temperature is the average temperature of multiple cells in the battery system.

[0014] Preferably, the method comprises:

[0015] The total voltage threshold of the battery system is:

[0016] V zy =k1*f1(V 1y ,V 2y …V ny )

[0017] The total internal resistance threshold of the battery system is:

[0018] R zy =k2*f2(R 1y ,R 2y …R ny )

[0019] Among them, V zyis the total voltage threshold of the battery system; R zy is the total voltage threshold of the battery system; f1() is the first functional relationship, f2() is the second functional relationship, V 1y ,V 2y …V ny is the voltage threshold of a single cell in the battery system; R 1y ,R 2y …R ny is the internal resistance threshold of a single cell in the battery system; k1 and k2 are safety factors, 0 <k1<1,0<k2<1。

[0020] Preferably, the method comprises:

[0021] If any cell parameter exceeds the first threshold value of the corresponding parameter, and only one cell parameter exceeds the corresponding first threshold value, a first warning is issued;

[0022] If any two battery cell parameters exceed the corresponding first threshold at the same time, a second warning is issued;

[0023] If the internal resistance of the battery cell exceeds the second internal resistance threshold, a third warning is issued.

[0024] Preferably, the method comprises:

[0025] If any single cell parameter is within the first threshold, but the total battery system voltage exceeds the first total voltage threshold;

[0026] Alternatively, if the total internal resistance of the battery system exceeds a first total internal resistance threshold, a first warning is issued;

[0027] If any two of the cell temperature, battery system total voltage, and battery system total internal resistance exceed the corresponding first threshold, a second warning is issued;

[0028] If the total internal resistance of the battery system exceeds a second threshold value of the total internal resistance, a second warning is issued;

[0029] If the internal resistance of any single battery cell exceeds the first threshold of the corresponding internal resistance and is less than the second threshold of the corresponding internal resistance, and any other battery cell parameters are within the corresponding first threshold range, but the total internal resistance of the battery system exceeds the second threshold of the total internal resistance, a third warning is issued.

[0030] Preferably, the method comprises:

[0031] If any cell parameter and the overall parameter of the battery system are within the corresponding first threshold, record the parameter;

[0032] In a preset first time period, obtaining a change rate of the current parameter based on the initial parameter in the corresponding preset time period;

[0033] If the difference between any current parameter and the first threshold value corresponding to the parameter is within a preset range, and the change rate of the current parameter based on the initial parameter corresponding to the parameter is greater than the preset change rate threshold, a fourth warning is issued.

[0034] Preferably, the method for obtaining the parameter threshold includes:

[0035] Collect historical data generated during battery system operation and train anomaly detection models;

[0036] Through the trained anomaly detection model, the battery cell parameters are analyzed to obtain the anomaly probability of each parameter in different value ranges. Multiple thresholds of the corresponding parameters are set according to the anomaly probability.

[0037] Based on the analysis results of parameter range and abnormal probability, multiple thresholds are set for each parameter of the battery cell;

[0038] The threshold is verified and iteratively optimized based on the actual monitoring results.

[0039] The present application provides a battery cell monitoring device, the device comprising:

[0040] An acquisition module is used to acquire battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature;

[0041] A judgment module, configured to judge the state of the battery cell based on real-time parameters, parameter changes, and corresponding parameter thresholds;

[0042] The alarm module is used to perform alarm operations based on the judgment results.

[0043] The present application provides a battery management system, the system comprising:

[0044] At least one battery cell, a wireless monitoring device, and the monitoring apparatus described in this application;

[0045] The wireless monitoring equipment uses the device to monitor battery cell parameters and issue an early warning.

[0046] The present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of any method described in the present application or the functions of the device described in the present application.

[0047] The present application provides a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions, the computer executes the steps of any method described in the present application.

[0048] Compared with existing technologies, the present invention offers at least the following advantages: By using wireless monitoring equipment to collect key parameters such as the internal resistance, voltage, and temperature of battery cells in real time, the real-time status of the battery cells can be quickly understood; changes in battery cell performance can be promptly detected, improving monitoring accuracy. A multi-level early warning mechanism is designed, triggering corresponding warning levels based on the number or type of cell parameter exceeding different thresholds. This more accurately reflects the severity of the battery cell status and provides more targeted guidance to maintenance personnel. By monitoring not only individual cell parameters but also the overall internal resistance and voltage of the battery system, the system can be more comprehensively assessed, avoiding overlooking overall performance degradation. By collecting historical data from the battery system's operation and analyzing it using an anomaly detection model, the thresholds for battery cell parameters can be more accurately set. This threshold setting method, based on actual operating data, improves the accuracy and reliability of early warnings. In addition to monitoring the absolute values ​​of the parameters, it also considers the rate of change of the parameters over a period of time, enabling earlier detection of potential battery cell performance issues and increasing the sensitivity of early warnings. By validating and iteratively optimizing thresholds based on actual monitoring results, the monitoring method can continuously adapt to changes in battery system operation, improving monitoring accuracy and reliability. Real-time monitoring and early warning can promptly identify and resolve battery cell problems, preventing further damage to the battery system caused by cell failures. This helps reduce maintenance costs and extend the service life of the battery system.

[0049] In summary, the battery cell monitoring method significantly improves the accuracy and reliability of battery system monitoring, reduces maintenance costs, and increases the service life of the battery system through measures such as real-time collection of battery cell parameters, designing a multi-level early warning mechanism, comprehensively considering the relationship between the whole and the individual, setting thresholds based on historical data, monitoring parameter change rates, and system optimization and iteration. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a schematic diagram of a battery system according to an embodiment of the present invention;

[0051] Figure 2 Schematic diagram of a battery cell monitoring method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0053] A battery cell, also known as a battery unit, is a sealed container containing a positive electrode, a negative electrode, and an electrolyte. It is typically composed of multiple stacked sheets of electrodes and separators, which are then tightly rolled into a cylindrical or other shape. The design and chemical composition of the battery cell directly influence its performance characteristics.

[0054] The Individual Battery System (IBS) integrates and collects data from the cell CCS (Cell Characterization System), monitoring cell voltage, temperature, internal resistance, SOC, SOH, and leakage current in real time. It features high-speed communication and pre-control capabilities, enabling big data management of the battery's entire lifecycle. It also monitors and predicts the operating trends of cells (and battery clusters) in real time, establishing an individual battery safety system (SOS) to provide real-time updates on the safe operation of the energy storage system. The battery state calculation technology utilizes a brand-new algorithm with self-learning and neural network model features, adapting to various battery types and learning battery parameters in real time. It uses the battery's safety status as an evaluation parameter, significantly improving the safety and cycle life of the battery system (delaying degradation). The system collaborates with Wireless PACK to develop and scale front-end acquisition and active balancing chips for battery management systems, creating a complete energy storage technology ecosystem from cells and BMS chips to BMS application systems, energy storage data aggregation, diagnostic analysis, value mining, data empowerment, and grid access to realize the value of energy storage. IBS adopts a cell / battery full life cycle management system and uses big data adaptive algorithms to control energy ratios in real time.

[0055] Based on a single battery cell life warning system, the present application provides a battery system based on a wireless single battery cell full life cycle warning system (Wireless Individual Battery System, referred to as WIBS).

[0056] See also Figure 1 , Figure 1 A structural block diagram of a battery system provided in an embodiment of the present application is shown.

[0057] An embodiment of the present application provides a battery system, the system comprising:

[0058] At least one battery cell 20, each of the battery cells 20 being configured to store and release electrical energy;

[0059] At least one wireless monitoring device 30, each of which is disposed on each of the battery cells 20 in a one-to-one correspondence, and configured to obtain a set of battery cell parameters of the battery cells 20 in real time; the set of battery cell parameters includes at least one of battery cell temperature, pressure, voltage, and current parameters;

[0060] Electronic device 10.

[0061] In some embodiments, the substrate of the wireless monitoring device 30 may be made of a flexible circuit board, a rigid circuit board, or a rigid-flexible circuit board. The substrate of the wireless monitoring device 30 is not limited here.

[0062] An embodiment of the present application provides a battery cell monitoring method, which is applied to a battery system, wherein the battery system includes at least one group of battery cells and a wireless monitoring device provided on each of the battery cells. The method includes:

[0063] Collecting battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature;

[0064] Determine the state of the battery cell based on real-time parameters, parameter changes, and corresponding parameter thresholds;

[0065] According to the determination result, an alarm operation is performed, and the alarm operation includes at least one of the following: starting an audible and visual alarm, starting an online alarm, sending an alarm notification, dialing a preset emergency number, cutting off the output of the module, cutting off the power supply, and starting a fire extinguishing device.

[0066] The working principle and effect of the above technical solution are as follows: a wireless monitoring device is installed on each battery cell in the battery system; the wireless monitoring device can transmit key parameter data of the battery cell in real time and wirelessly; the wireless monitoring device uses sensors and other technical means to continuously collect various parameters of the battery cell, mainly including the battery cell's internal resistance, voltage, and temperature. These parameters are important indicators for evaluating the battery cell's condition and safety. The collected battery cell parameters are transmitted in real time to the monitoring system's central processing unit (CPU) or similar processing module; the monitoring system compares these real-time parameters with preset parameter thresholds and analyzes parameter change trends (such as rate of change, fluctuation range, etc.). Based on the real-time parameters, parameter changes, and corresponding parameter thresholds, the monitoring system determines the battery cell's condition and determines whether it is in a normal, warning, or dangerous state. When the battery cell's condition reaches the preset warning or danger threshold, the monitoring system triggers the corresponding alarm operation based on the judgment result. Alarm operations can include various types, such as activating sound and light alarms (reminding operators through buzzers and indicator lights), activating network alarms (sending alarm information to a remote monitoring center), sending alarm notifications (notifying relevant personnel through text messages, emails, etc.), dialing a preset emergency number (automatically dialing a preset emergency contact number), cutting off module outputs (disconnecting certain outputs related to the battery cell), cutting off power (cutting off the power supply to the entire battery system in an emergency), and activating fire extinguishing devices (activating fire extinguishing equipment when a serious fault such as thermal runaway occurs in the battery cell).

[0067] After triggering the alarm operation, the monitoring system will also record the fault information, including the time of the fault, battery cell number, fault type, etc., for subsequent analysis and processing.

[0068] At the same time, the monitoring system may also automatically execute some emergency measures according to the preset fault handling process, such as switching the backup power supply, adjusting the working mode, etc., to ensure that the battery system can continue to work within a certain period of time.

[0069] Wireless monitoring equipment can accurately measure key parameters such as the battery cell's internal resistance, voltage, and temperature. These parameters are important indicators for evaluating battery cell performance and safety. This precise data provides a more accurate assessment of the cell's status, helping to promptly identify potential safety hazards. Because the wireless monitoring equipment is installed on each battery cell, it enables comprehensive monitoring of all cells in the entire battery system, ensuring that any abnormal cell condition is promptly detected and addressed, preventing a single cell problem from impacting the entire battery system. Real-time access to cell status information allows maintenance personnel to more precisely locate problematic cells, reducing troubleshooting time and costs. Furthermore, features such as networked alarms and notifications enable remote monitoring and maintenance, further improving maintenance efficiency. This cell monitoring method can promptly detect and address abnormal cell conditions, ensuring stable battery system operation. This helps improve battery system reliability and service life, reducing the risk of system downtime or damage caused by cell failure.

[0070] In summary, the battery cell monitoring method provided in the embodiments of the present application can achieve comprehensive, real-time and accurate monitoring of the battery cell status in the battery system, and ensure the safe operation of the battery system through various alarm operations.

[0071] In some embodiments, the internal resistance, voltage, and temperature of the battery cell each include multiple thresholds, and the voltage thresholds of the battery cell during charging and discharging are different.

[0072] The working principle of the above technical solution is as follows: The wireless monitoring device continuously collects data on key parameters such as internal resistance, voltage, and temperature from each battery cell. Multiple thresholds are preset for each battery cell parameter, such as internal resistance, voltage, and temperature. These thresholds are set based on the battery cell's specifications, performance, historical data, and safety requirements. The multiple thresholds represent different levels of risk. In particular, the voltage thresholds for charging and discharging are different. Because the voltage of a battery cell gradually rises during charging and gradually decreases during discharging, different thresholds are required to reflect the safety boundaries between these two states. The monitoring system uses the real-time collected cell parameter data and the set thresholds to determine the cell's status. For example, if the cell's voltage exceeds the upper threshold during charging or falls below the lower threshold during discharging, the system deems the cell to be in an abnormal state. Similarly, if the internal resistance or temperature of a battery cell exceeds the preset threshold, the system will also determine that the cell is in an abnormal state.

[0073] The effect of the above technical solution is: by setting the parameter thresholds of the battery cells to multiple levels, the monitoring system can achieve multi-level early warning before, during and after the event, which means that the system can not only issue an alarm when the battery cell is close to the failure point, but also issue an early warning when the battery cell performance deteriorates slightly, thereby giving operators more time to intervene and carry out maintenance.

[0074] Multiple thresholds allow the monitoring system to more accurately assess the risks of battery cells. For example, when the battery cell voltage reaches the first threshold, there may only be a slight performance degradation, at which point a reminder notification can be sent to the operator. When the voltage reaches a higher threshold, the system may initiate more urgent alarm measures, such as audible and visual alarms or network alarms, to attract more attention.

[0075] The battery cells have different voltage threshold settings during charging and discharging, which ensures that the monitoring system can more accurately reflect the performance changes of the battery cells under different working conditions; this precise management helps prevent overcharging, over-discharging and other situations that may cause battery cell damage or safety accidents.

[0076] Through advance warning, the monitoring system can alert operators at the early stages of battery cell performance degradation, thus avoiding potential failures; during the event, the system can monitor the battery cell status in real time and immediately issue an alarm when an abnormality occurs; afterwards, the system can also record and analyze fault data, providing valuable reference for future prevention and response.

[0077] Through a multi-level early warning system and precise risk assessment, the cell monitoring approach can significantly improve the reliability and safety of battery systems. This helps reduce the probability of failure, downtime, and repair costs, while also ensuring the safety of personnel and equipment.

[0078] In summary, the method for monitoring battery cells sets multiple parameter thresholds and divides them into multiple levels according to the probability of failure for pre-warning, in-warning, and post-warning, which is an efficient and accurate management strategy that can significantly improve the reliability and safety of the battery system.

[0079] In some embodiments, the battery system includes multiple battery cells. The internal resistance threshold of the battery cells includes the internal resistance threshold of a single battery cell and the total internal resistance threshold of the battery system. The voltage threshold of the battery cells includes the internal resistance threshold of a single battery cell and the total voltage threshold of the battery system. Among them, according to the connection characteristics of the battery cells, the total internal resistance and the total voltage of the battery system are obtained. The connection characteristics include series connection, parallel connection, or a combination of series and parallel connections.

[0080] The temperature is the average value of the temperatures of multiple battery cells in the battery system.

[0081] In some embodiments, the method includes:

[0082] The total voltage threshold of the battery system is:

[0083] V zy = k1 * f1(V 1y , V 2y …V ny )

[0084] The total internal resistance threshold of the battery system is:

[0085] R zy = k2 * f2(R 1y , R 2y …R ny )

[0086] Among them, V zy is the total voltage threshold of the battery system; R zy is the total internal resistance threshold of the battery system; f1() is the first functional relationship, f2() is the second functional relationship, and both f1() and f2() are determined according to the connection characteristics of the battery cells; V 1y , V 2y …V ny are the voltage thresholds of single battery cells in the battery system; R 1y , R 2y …R ny are the internal resistance thresholds of single battery cells in the battery system; k1 and k2 are safety factors, 0 < k1 < 1, 0 < k2 < 1, and n = N, where N is the number of battery cells in the battery system.

[0087] The working principle of the above technical solution is:

[0088] The wireless monitoring device respectively collects the internal resistance, voltage, and temperature data of each battery cell.

[0089] Voltage thresholds (V 1y , V 2y … V ny ) and internal resistance thresholds (R 1y , R 2y … R ny ) of a single cell are preset. There are multiple voltage thresholds for a single cell. If it is V ny , it can be the first voltage threshold of a single cell; it can also be the second voltage threshold of a single cell. If one voltage threshold is the first threshold, all voltage thresholds of the cells in the formula are the first threshold. If one voltage threshold is the second threshold, all voltage thresholds of the cells in the formula are the second threshold. The same applies to the internal resistance threshold.

[0090] According to the connection characteristics of the cells (series, parallel or series - parallel combination), calculate the total internal resistance and total voltage of the battery system.

[0091] Total voltage (V zy ) of the battery system: Use the first functional relationship f1() to calculate, which is determined according to the connection method of the cells (series, parallel, etc.). The total voltage threshold Vzy is a combination of the voltage thresholds of single cells and is adjusted by multiplying with a safety factor k1 (0 < k1 < 1) to ensure safety.

[0092] Total internal resistance (R zy ) of the battery system: Use the second functional relationship f2() to calculate, also based on the connection method of the cells. The total internal resistance threshold R zy is a combination of the internal resistance thresholds of single cells and is adjusted by multiplying with a safety factor k2 (0 < k2 < 1).

[0093] For example: There are 3 cells in the battery system, the threshold resistance of each cell is 20Ω, and the cells are connected in series. f2() is 3 * 20Ω, and R zy = k2 * 3 * 20Ω.

[0094] The effects of the above technical solutions are as follows: By separately collecting the internal resistance, voltage and temperature data of each cell and setting multiple thresholds for a single cell, the system can accurately monitor the working state of each cell.

[0095] Using the first and second functional relationships (f1() and f2()) and safety factors (k1 and k2), the total internal resistance and total voltage thresholds of the battery system can be accurately calculated based on the connection characteristics of the cells (series, parallel or series - parallel combination), thus providing more accurate early warnings. Since multiple voltage and internal resistance thresholds are set for a single cell, the system can achieve multi - level early warnings, that is, issue warnings in advance when the performance of the cell slightly deteriorates or is about to reach the failure point, thus giving the operator more time for intervention and maintenance.

[0096] In some embodiments, setting the safety factor includes:

[0097] Preset safety factor; the preset safety factor can start from a low value and then gradually increase to observe the performance and safety of the battery;

[0098] Perform a first verification in an experimental environment; the first verification includes: performing charging, discharging, overcharging, over-discharging and other tests on the battery in a laboratory environment to evaluate the performance and safety of the battery under different conditions.

[0099] Adjust the safety factor based on the first verification results; if the battery shows good performance and safety in the test, the safety factor can be appropriately increased; if the battery has safety problems or performance degradation, the safety factor needs to be reduced.

[0100] Adjust the safety factor based on battery usage and expected lifespan.

[0101] The working principle of the above technical solution is:

[0102] Different types of batteries (such as lithium-ion batteries, lead-acid batteries, nickel-metal hydride batteries, etc.) have different voltage characteristics, energy densities, and safety performance. Therefore, different safety factors may need to be set for different types of batteries.

[0103] The battery's usage scenario (e.g., mobile devices, electric vehicles, energy storage systems, etc.) affects its sensitivity to voltage fluctuations and safety requirements. For example, in electric vehicles, due to the large battery pack capacity and rapid charging and discharging speeds, a lower safety factor may be required to ensure battery safety.

[0104] Depending on the application scenario, specific safety requirements may need to be met. For example, some applications may require that the battery will not explode or catch fire under certain conditions (such as overcharge, over-discharge, short circuit, etc.); in this case, a lower safety factor needs to be set to ensure battery safety.

[0105] In the initial stages, an initial safety factor is set based on battery design specifications, material properties, and past experience. This safety factor is a relatively low value, intended to allow for gradual observation and adjustment during actual use. In a laboratory environment, the batteries undergo a series of rigorous tests, including charging, discharging, overcharging, and over-discharging, to simulate various conditions that the batteries may encounter in actual use.

[0106] These tests are designed to evaluate the performance and safety of batteries under different conditions, including the stability and safety of key parameters such as voltage, internal resistance, and temperature.

[0107] Adjust the safety factor based on the first verification results:

[0108] Analyze the experimental data of the first verification and observe the performance and safety of the battery under different conditions.

[0109] If the battery demonstrates good performance and safety during testing, meaning that key parameters such as voltage, internal resistance, and temperature remain within safe ranges and performance is stable, the safety factor can be appropriately lowered to improve the efficiency or energy density of the battery system. If the battery exhibits safety issues or performance degradation during testing, such as voltage or temperature exceeding safe ranges under specific conditions, the safety factor needs to be increased to ensure the safety and stability of the battery system.

[0110] As battery usage increases, its performance and safety may gradually decline. Therefore, the safety factor needs to be adjusted based on the actual usage time and expected lifespan of the battery.

[0111] For batteries that have been in use for a long time, their performance and safety may have declined, so the safety factor needs to be appropriately lowered to ensure the overall safety and stability of the battery system. Conversely, for new batteries or batteries with good performance, the safety factor can be increased to improve the efficiency or energy density of the battery system. During the actual use of the battery system, the performance and safety of the battery need to be continuously monitored, and the safety factor needs to be adjusted according to actual conditions. This can be achieved through wireless monitoring equipment, which can collect key parameter data of the battery in real time and analyze and judge based on this data. If any abnormality in battery performance or safety is found, immediate measures can be taken, such as adjusting the safety factor and limiting the charge and discharge current, to ensure the safety and stability of the battery system.

[0112] In some embodiments, the method comprises:

[0113] If any cell parameter exceeds the first threshold value of the corresponding parameter, and only one cell parameter exceeds the corresponding first threshold value, a first warning is issued; wherein different threshold values ​​are selected for determination by judging the charging and discharging stage of the battery; if it is the charging stage, the first voltage threshold value is the first voltage threshold value corresponding to the charging stage; if it is the discharging stage, the first voltage threshold value is the first voltage threshold value corresponding to the discharging stage;

[0114] If any two battery cell parameters exceed the corresponding first threshold at the same time, a second warning is issued;

[0115] If the internal resistance of the battery cell exceeds the second internal resistance threshold, a third warning is issued.

[0116] In some embodiments, the second resistance threshold is twice the first resistance threshold.

[0117] The working principle of the above technical solution is:

[0118] When the system detects that any cell parameter (such as voltage or internal resistance) exceeds its corresponding first threshold, it will trigger the first warning. However, this warning has a condition, that is, it will only be triggered when a single parameter exceeds the corresponding first threshold;

[0119] The setting of the first threshold value takes into account the charging and discharging stages of the battery; for example, in the charging stage, the first voltage threshold value is set to the first voltage threshold value corresponding to the charging stage; in the discharging stage, the first voltage threshold value is set to the first voltage threshold value corresponding to the discharging stage; this is because the normal range of the battery's voltage will be different during the charging and discharging process.

[0120] If the system detects that the parameters of any two battery cells exceed their respective first thresholds at the same time, this usually means that the battery may have a more serious problem or failure; at this time, the system will trigger a second warning, which is usually more urgent than the first warning and requires a more timely response and processing.

[0121] The internal resistance of the battery cell is another important health indicator. If the internal resistance of the battery cell exceeds the preset second internal resistance threshold, the system will trigger the third warning; this usually means that the battery cell may be aged or damaged and requires further inspection or replacement.

[0122] Depending on the warning level, the system will take appropriate response measures, which may include limiting the battery's charge and discharge current, triggering an alarm to notify operators, and recording fault data for subsequent analysis.

[0123] The effect of the above technical solution is as follows: By setting different warning levels (first warning, second warning, and third warning) and corresponding response measures, the solution achieves accurate monitoring and early warning of battery status. Once an anomaly is detected, the system can respond quickly to reduce the impact of battery failure on the equipment or system. Considering that the normal voltage range of the battery varies during the charging and discharging process, the solution sets different first voltage thresholds for the charging and discharging stages. This setting makes the early warning more accurate and can better adapt to the actual situation of the battery in different operating conditions.

[0124] By issuing a second warning when any two cell parameters simultaneously exceed their corresponding first thresholds, the solution can identify more serious battery problems or failures. This multi-parameter comprehensive assessment improves the accuracy and reliability of warnings.

[0125] As one of the important indicators of battery health, the third warning when the internal resistance of the battery cell exceeds the second internal resistance threshold provides operators with important information on battery aging or damage. It helps to promptly discover and address potential safety hazards and ensure the safe and stable operation of the battery system.

[0126] In some embodiments, the method comprises:

[0127] If any single cell parameter is within the first threshold, but the total battery system voltage exceeds the first total voltage threshold;

[0128] Alternatively, if the total internal resistance of the battery system exceeds a first total internal resistance threshold, a first warning is issued;

[0129] If any two of the cell temperature, battery system total voltage, and battery system total internal resistance exceed the corresponding first threshold, a second warning is issued;

[0130] If the total internal resistance of the battery system exceeds a second threshold value of the total internal resistance, a second warning is issued;

[0131] If the internal resistance of any single battery cell exceeds the first threshold of the corresponding internal resistance and is less than the second threshold of the corresponding internal resistance, and any other battery cell parameters are within the corresponding first threshold range, but the total internal resistance of the battery system exceeds the second threshold of the total internal resistance, a third warning is issued.

[0132] The working principle of the above technical solution is: when the individual parameters of all battery cells in the system (such as voltage, internal resistance, temperature, etc.) are within their respective set first threshold ranges, the system will still pay attention to the overall parameters of the battery pack.

[0133] If the total voltage of the battery system exceeds the set first total voltage threshold, this usually means that although the voltage of a single battery cell is normal, the voltage of the entire battery pack is too high, and there may be a risk of overcharging or unreasonable battery pack design. At this time, the system will trigger the first warning.

[0134] Similarly, if the total internal resistance of the battery system exceeds the set first total internal resistance threshold, it may also mean that there is an abnormality inside the battery pack, such as aging of the battery cells, poor connection, etc., and the first warning will be triggered at this time.

[0135] When any two of the cell temperature, the total voltage of the battery system, and the total internal resistance of the battery system simultaneously exceed their respective first thresholds, the system deems that there is a serious safety hazard or fault in the battery pack;

[0136] For example, if the battery cell temperature rises abnormally and the total voltage is too high, it may be caused by an internal short circuit or poor heat dissipation in the battery pack. In this case, the system will trigger a second warning, which is usually more urgent than the first warning and requires a faster response and processing.

[0137] In addition, if the total internal resistance of the battery system exceeds a set second threshold (this second threshold is usually higher than the first threshold, indicating a more serious abnormality), a second warning will also be triggered.

[0138] The third warning focuses on the combination of individual abnormalities in the internal resistance of the battery cell and abnormalities in the overall internal resistance of the battery pack.

[0139] When the internal resistance of any single battery cell exceeds its corresponding first threshold (but has not yet reached the more serious second threshold) and other battery cell parameters are normal, the system has noticed the potential problem of this battery cell.

[0140] If the total internal resistance of the battery system exceeds the set second threshold at the same time, this usually means that in addition to the abnormal battery cells mentioned above, there are problems with other battery cells or connections in the battery pack, resulting in abnormal overall internal resistance; this combination indicates that the battery pack has more serious safety hazards and requires special attention and treatment, so it will trigger the third warning.

[0141] Depending on the warning level, the system will take corresponding response measures, such as limiting the charge and discharge current, triggering an alarm to notify operators, and recording fault data for subsequent analysis, to ensure the safe and stable operation of the battery pack.

[0142] The above technical solution achieves the following: By monitoring cell parameters and overall battery pack parameters in real time, this method can detect potential anomalies before they become serious. For example, even if individual cell parameters are within normal range, a battery pack's total voltage or total internal resistance exceeding a threshold could indicate a safety hazard. This early detection can prevent potential issues from escalating into serious failures. This method ensures battery system safety through a multi-level early warning mechanism. The first, second, and third warning levels correspond to different levels of anomalies, allowing operators to take appropriate measures based on the warning level, thereby ensuring stable operation of the battery system and preventing safety incidents. Promptly detecting and addressing anomalies in the battery system can reduce damage to the battery caused by improper use, such as overcharging, over-discharging, and overheating, thereby extending the battery's service life. By monitoring and providing early warnings for the overall battery pack parameters, the coordination and consistency of the individual cells within the battery pack can be ensured.

[0143] In some embodiments, the method comprises:

[0144] If any cell parameter and the overall parameter of the battery system are within the corresponding first threshold, record the parameter;

[0145] In a preset first time period, obtaining a change rate of the current parameter based on the initial parameter in the corresponding preset time period;

[0146] If the difference between any current parameter and the first threshold value corresponding to the parameter is within a preset range, and the change rate of the current parameter based on the initial parameter corresponding to the parameter is greater than the preset change rate threshold, a fourth warning is issued.

[0147] The method for obtaining the preset change rate threshold includes:

[0148] The first change rate and the second change rate can be obtained through fault model analysis; the first change rate is the average value of the change rate of the corresponding parameter in a preset first time period (time length) under the fault mode; the second change rate is the minimum value of the change rate of the corresponding parameter in the same preset first time period (time length) under the fault mode;

[0149] Obtaining an average of the parameter change rate within the same preset first time period (time length) through historical data, and recording it as the third change rate;

[0150] If the third change rate is less than the second change rate, the preset change rate threshold is:

[0151] Cy=C3+(C2-C3) / a,

[0152] If the third change rate is greater than or equal to the second change rate, the preset change rate threshold is:

[0153] Cy=C3+(C1-C3) / b,

[0154] Wherein, Cy is the preset change rate threshold, C1 is the first change rate, C2 is the second change rate, C3 is the third change rate, a and b are coefficients, 1≤a≤10; 1≤b≤10.

[0155] The working principle of the above technical solution is: the system continuously monitors the individual parameters of each battery cell in the battery system (such as voltage, current, temperature, internal resistance, etc.) and the overall parameters of the entire battery system (such as total voltage, total internal resistance, etc.).

[0156] If any cell parameter or overall battery system parameter is within its corresponding first threshold, meaning that the parameter values ​​are within the normal range, the system will record the current value of the parameter. This helps establish parameter baseline data for subsequent rate of change analysis.

[0157] During a preset first time period (such as a few seconds, minutes or hours, not specifically limited here), the system will calculate the rate of change of the current parameter relative to the initial parameter at the beginning of the preset first time period; usually this is achieved by comparing the current parameter value with the initial parameter value and dividing it by the length of the preset first time period.

[0158] The rate of change can reflect the speed and trend of parameter changes and is an important indicator for evaluating the health of the battery system.

[0159] The system checks whether the difference between each current parameter and the corresponding first threshold is within a preset range; it is used to identify parameters that have not yet exceeded the threshold but are close to the threshold, which may indicate potential problems.

[0160] At the same time, the system also checks whether the rate of change of the current parameter based on the initial parameter corresponding to the parameter is greater than a preset rate of change threshold; this is used to capture parameters that change significantly in a short period of time, which may indicate that the battery system is about to fail or its performance is degraded.

[0161] If any current parameter satisfies the above two conditions at the same time (i.e., the difference between the parameter and the corresponding first threshold is within the preset range and the rate of change is greater than the preset rate of change threshold), the system will trigger the fourth warning.

[0162] The triggering of the fourth warning will alert the operator or automatic control system to the status of the battery system; depending on the level and type of the warning, the system may take corresponding countermeasures, such as limiting the charge and discharge current, starting the cooling system, and performing troubleshooting to ensure the safe and stable operation of the battery system.

[0163] This monitoring method based on real-time parameter monitoring and change rate analysis can more sensitively capture changes in battery system performance, especially when the parameter value has not yet exceeded the safety threshold but the change rate is abnormal. It helps to detect potential problems in advance and take corresponding measures, thereby improving the reliability and safety of the battery system.

[0164] The first change rate (C1) and the second change rate (C2) obtained through fault model analysis are based on the parameter change rates under the fault mode, which ensures that an early warning can be triggered when the battery system is close to or in a fault state.

[0165] Secondly, the third rate of change (C3) obtained through historical data reflects the parameter change rate of the battery system under normal operating conditions; it helps to combine the preset rate of change threshold with actual operating data to improve the accuracy and reliability of early warning.

[0166] Finally, based on the comparison between the third rate of change (C3) and the second rate of change (C2), the preset rate of change threshold (Cy) is dynamically adjusted. When the third rate of change is less than the second rate of change, it indicates that the parameter change rate during actual operation is relatively stable. In this case, the preset rate of change threshold is set to a value between the third rate of change and the second rate of change (adjusted by coefficient a), which is neither too sensitive nor too insensitive. When the third rate of change is greater than or equal to the second rate of change, it indicates that the parameter change rate during actual operation has approached or exceeded the minimum value in the fault mode. In this case, the preset rate of change threshold is set to a value between the third rate of change and the first rate of change (adjusted by coefficient b) to ensure that a warning can be triggered in a timely manner when the battery system approaches a fault state.

[0167] The range of coefficients a and b (1≤a≤10; 1≤b≤10) allows for flexibility and can be adjusted based on actual conditions. However, it should be noted that the values ​​of coefficients a and b should be based on sufficient experimental verification and data analysis to ensure the rationality and effectiveness of the preset rate of change thresholds.

[0168] In some embodiments, the method for obtaining the parameter threshold includes:

[0169] Collect historical data generated during battery system operation to train anomaly detection models; historical data covers key parameters such as internal resistance, voltage, and temperature of battery cells under various conditions;

[0170] Through the trained anomaly detection model, the battery cell parameters are analyzed to obtain the anomaly probability of each parameter in different value ranges. Multiple thresholds of the corresponding parameters are set according to the anomaly probability.

[0171] Based on the analysis results of parameter range and abnormal probability, multiple thresholds are set for each parameter of the battery cell;

[0172] The threshold is verified and iteratively optimized based on the actual monitoring results.

[0173] The working principle of the above technical solution is:

[0174] First, the system collects historical data generated during the operation of the battery system and trains an anomaly detection model; this data covers key parameters such as the internal resistance, voltage, and temperature of the battery cell under various conditions (such as different charging states, temperatures, loads, etc.).

[0175] Using the collected historical data, an anomaly detection model is trained. This model can analyze changes in battery cell parameters and predict the probability of anomalies occurring under given parameter values. Model training usually involves machine learning or deep learning techniques, such as anomaly detection algorithms, classification algorithms, or regression algorithms.

[0176] The trained anomaly detection model analyzes battery cell parameters. The model outputs the probability of anomalies for each parameter within different value ranges. Based on these analysis results, multiple thresholds are set for each battery cell parameter. These thresholds are typically determined based on the sudden change or inflection points in the anomaly probability, ensuring that appropriate monitoring and response mechanisms are triggered promptly when parameter values ​​approach abnormal ranges.

[0177] During the actual monitoring process, the set thresholds are verified; the accuracy and effectiveness of the thresholds are evaluated based on the real-time collected battery cell parameter data and the actual operation of the system; if it is found that some threshold settings are unreasonable or lead to false alarms, missed alarms and other problems, iterative optimization is required; this can be achieved by adjusting the specific values ​​of the thresholds, increasing or decreasing the number of thresholds, introducing new anomaly detection algorithms, etc.

[0178] The effect of the above technical solution is: by collecting historical data during the operation of the battery system and training the anomaly detection model, the system can more accurately identify the probability of abnormal occurrence of battery cell parameters within different value ranges; based on these probabilities, the system can set multiple thresholds for each parameter, thereby more accurately monitoring the battery cell status and reducing the risk of false alarms and missed alarms.

[0179] Since the operating conditions and environmental factors of the battery system may change, the normal range and abnormal thresholds of battery cell parameters may also change accordingly; by continuously collecting historical data and updating the anomaly detection model, the system can automatically adapt to these changes and ensure the accuracy and effectiveness of the thresholds.

[0180] In some embodiments, the method further comprises:

[0181] By presetting a first sampling frequency, collecting the internal resistance of a single battery cell;

[0182] The voltage of the battery cell is collected by presetting a second sampling frequency;

[0183] The temperature of the battery cell is collected by presetting a third sampling frequency;

[0184] Dynamically adjust the sampling frequency based on real-time collected data;

[0185] If the current sampled data of any cell parameter is greater than the third threshold of the parameter, and the rate of change between the current sampled data and the previous sampled data exceeds the second preset rate of change threshold of the parameter, the sampling frequency adjustment mechanism is triggered; the second change threshold is determined based on the rate of change of the parameter between two adjacent historical samplings; the third threshold is less than the first threshold of the corresponding parameter; the current parameter is the most recently sampled parameter;

[0186] If the sampling data of all battery cell parameters are less than or equal to the third threshold of the corresponding parameters within the preset second time period, the sampling frequency callback mechanism is triggered; the preset second time period may be the same as or different from the preset first time period.

[0187] Among them, the adjusted sampling frequency is:

[0188] F aj =(1+D)×F 0j

[0189] D=max(E j )

[0190]

[0191] Among them, F aj is the adjusted sampling frequency, F 0j is the preset sampling frequency, j = 1, 2, 3; for example: j = 1 represents internal resistance, j = 2 represents voltage, j = 3 represents temperature; D is the adjustment parameter;

[0192] Δ ij Δ is the corresponding parameter change rate when the current parameter is greater than the third threshold of the corresponding parameter; ijy is a second preset change rate threshold corresponding to the parameter;

[0193] i is the number of parameters in each parameter type for which the current parameter satisfies both the requirement that the parameter is greater than the third threshold of the corresponding parameter and the corresponding internal resistance change rate is greater than the corresponding second preset internal resistance change rate threshold;

[0194] For example: F a1 is the first sampling frequency after adjustment, F 01 is to preset a first sampling frequency;

[0195] For example, if there are three cells in a battery system, and the internal resistances of the three cells are all greater than the corresponding third internal resistance threshold, and the total internal resistance of the battery system is also greater than the corresponding third total internal resistance threshold; and if the current internal resistance change rates of the three cells are greater than the corresponding second preset internal resistance change rate threshold, and the current total internal resistance change rate of the battery system is greater than the corresponding second preset total internal resistance change rate threshold, then i = 4, and four ratios are obtained: E1 is the maximum value among the four ratios;

[0196] Similarly, if the voltages of the three battery cells are all greater than the corresponding third voltage threshold, and the total voltage of the battery system is also greater than the corresponding third total voltage threshold; at the same time, the current voltage change rate of the three battery cells is greater than the corresponding second preset voltage change rate threshold, and the current total voltage change rate of the battery system is greater than the corresponding second preset total voltage change rate threshold; four ratios will also be obtained based on the voltage parameters: E2 is the maximum value among the four ratios. If only one cell in the voltage parameters satisfies both the voltage being greater than the corresponding third voltage threshold and the current voltage change rate being greater than the corresponding second preset voltage change rate threshold, only one ratio is obtained, and E2 is that ratio.

[0197] Similarly, E3 is calculated and the adjustment parameter D is the maximum value among E1, E2 and E3.

[0198] The working principle of the above technical solution is as follows: preset sampling frequencies (first sampling frequency, second sampling frequency and third sampling frequency) are set for the internal resistance, voltage and temperature of the battery cell respectively. These preset frequencies are usually set based on system performance requirements, power consumption considerations and expected data change rates; according to the preset sampling frequencies, the internal resistance, voltage and temperature data of each battery cell are collected in real time. For each parameter (internal resistance, voltage, temperature) of each battery cell, its current sampling data is compared with the preset third threshold; at the same time, the change rate between the current sampling data and the previous sampling data is calculated and compared with the second preset change rate threshold of the parameter; if the current sampling data of any parameter (internal resistance, voltage, temperature) of any battery cell is greater than its corresponding third threshold, and its change rate exceeds the corresponding second preset change rate threshold, the sampling frequency adjustment mechanism is triggered; the goal of the sampling frequency adjustment mechanism is to increase the sampling frequency so as to monitor these abnormal parameters more frequently, so as to more accurately capture their changing trends. The adjusted sampling frequency is calculated based on the real-time collected data and the preset algorithm.

[0199] If within the preset second time, the sampling data of all parameters (internal resistance, voltage, temperature) of all battery cells are less than or equal to their corresponding third thresholds, the sampling frequency callback mechanism is triggered.

[0200] The sampling frequency callback mechanism aims to reduce the sampling frequency to save system resources, because the cell parameters are within the normal range and do not need to be monitored so frequently. The sampling frequency of the cell parameters is updated based on the calculation results of the sampling frequency adjustment mechanism or the sampling frequency callback mechanism.

[0201] Repeat the above steps to continuously monitor the battery cell parameters and dynamically adjust the sampling frequency based on real-time data.

[0202] The effect of the above technical solution is: by presetting different sampling frequencies, the system can reasonably allocate resources according to the importance and change speed of the battery cell parameters; for parameters that change faster (such as voltage and temperature), using a higher sampling frequency can ensure that the parameter changes are captured in time; and for parameters that change slower (such as internal resistance), using a lower sampling frequency can reduce unnecessary resource consumption; this differentiated sampling strategy can improve the monitoring efficiency of the system.

[0203] When the current sampling data of any cell parameter exceeds a third threshold and the rate of change compared to the previous sampling data exceeds a second preset rate of change threshold, the system quickly triggers a sampling frequency adjustment mechanism. This allows the system to more quickly identify potential anomalies and monitor these parameters more frequently by increasing the sampling frequency, thereby enhancing system responsiveness. If the sampling data of all cell parameters remains below the third threshold within a preset second time period, the system triggers a sampling frequency callback mechanism to reduce the sampling frequency. This avoids unnecessary resource waste, especially when the cell status is stable and there are no signs of anomalies. By reducing the sampling frequency, the system reduces computational complexity, storage space, and energy consumption. The dynamic sampling frequency adjustment mechanism automatically adjusts the sampling frequency based on real-time changes in cell parameters, ensuring that the system always operates at optimal levels. This reduces the limitations of fixed sampling frequencies, such as excessively high or low sampling frequencies that can lead to system performance degradation or resource waste. By dynamically adjusting the sampling frequency, the system can more accurately monitor cell status, promptly detect anomalies, and take appropriate measures to protect cell and system safety.

[0204] The present invention provides a battery cell monitoring device, comprising:

[0205] An acquisition module is used to acquire battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature;

[0206] A judgment module, configured to judge the state of the battery cell based on real-time parameters, parameter changes, and corresponding parameter thresholds;

[0207] The alarm module is used to perform alarm operations based on the judgment results.

[0208] In some embodiments, the internal resistance, voltage, and temperature of the battery cell each include multiple thresholds, and the voltage thresholds of the battery cell during charging and discharging are different.

[0209] In some embodiments, the battery system includes multiple battery cells, the battery cell internal resistance threshold includes a single battery cell internal resistance threshold and a battery system total internal resistance threshold; the battery cell voltage threshold includes a single battery cell internal resistance threshold and a battery system total voltage threshold; wherein the battery system total internal resistance and the battery system total voltage are obtained according to the battery cell connection characteristics; the connection characteristics include series connection, parallel connection, or a combination of series and parallel connection;

[0210] The temperature is the average temperature of multiple cells in the battery system.

[0211] In some embodiments, the total voltage threshold of the battery system is:

[0212] V zy =k1*f1(V1y ,V 2y …V ny )

[0213] The total internal resistance threshold of the battery system is:

[0214] R zy =k2*f2(R 1y ,R 2y …R ny )

[0215] Among them, V zy is the total voltage threshold of the battery system; R zy is the total voltage threshold of the battery system; f1() is the first functional relationship, f2() is the second functional relationship, V 1y ,V 2y …V ny is the voltage threshold of a single cell in the battery system; R 1y ,R 2y …R ny is the internal resistance threshold of a single cell in the battery system; k1 and k2 are safety factors, 0 <k1<1,0<k2<1。

[0216] In some embodiments, setting the safety factor includes:

[0217] Preset safety factor; the preset safety factor can start from a low value and then gradually increase to observe the performance and safety of the battery;

[0218] Perform a first verification in an experimental environment; the first verification includes: performing charging, discharging, overcharging, over-discharging and other tests on the battery in a laboratory environment to evaluate the performance and safety of the battery under different conditions.

[0219] Adjust the safety factor based on the first verification results; if the battery shows good performance and safety in the test, the safety factor can be appropriately increased; if the battery has safety problems or performance degradation, the safety factor needs to be reduced.

[0220] Adjust the safety factor based on battery usage and expected lifespan.

[0221] In some embodiments, the determination module includes:

[0222] A first judgment unit is configured to issue a first warning if any cell parameter exceeds a first threshold value of the corresponding parameter, and only one cell parameter exceeds the corresponding first threshold value;

[0223] A second judgment unit is configured to issue a second warning if any two battery cell parameters exceed corresponding first thresholds at the same time;

[0224] The third judgment unit is configured to issue a third warning if the internal resistance of the battery cell exceeds a second internal resistance threshold.

[0225] In some embodiments, the judgment module further includes:

[0226] The fourth judgment unit is configured to determine if any single cell parameter is within the first threshold, but the total voltage of the battery system exceeds the first total voltage threshold;

[0227] Alternatively, if the total internal resistance of the battery system exceeds a first total internal resistance threshold, a first warning is issued;

[0228] a fifth judgment unit, which issues a second warning if any two of the battery cell temperature, the total voltage of the battery system, and the total internal resistance of the battery system exceed corresponding first thresholds;

[0229] If the total internal resistance of the battery system exceeds a second threshold value of the total internal resistance, a second warning is issued;

[0230] The sixth judgment unit is configured to issue a third warning if the internal resistance of any single battery cell exceeds the first threshold value of the corresponding internal resistance and is less than the second threshold value of the corresponding internal resistance, and any other battery cell parameters are within the corresponding first threshold range, but the total internal resistance of the battery system exceeds the second threshold value of the total internal resistance.

[0231] In some embodiments, the judgment module further includes:

[0232] a recording unit, configured to record any cell parameter and the overall parameter of the battery system if the parameter is within a corresponding first threshold;

[0233] a change rate obtaining unit, configured to obtain, within a preset first time period, a change rate of the current parameter based on the initial parameter within a corresponding preset time period;

[0234] The seventh judgment unit issues a fourth warning if the difference between any current parameter and the first threshold corresponding to the parameter is within a preset range, and the change rate of the current parameter based on the initial parameter corresponding to the parameter is greater than the preset change rate threshold.

[0235] In some embodiments, the method for obtaining the parameter threshold includes:

[0236] Collect historical data generated during battery system operation and train anomaly detection models;

[0237] Through the trained anomaly detection model, the battery cell parameters are analyzed to obtain the anomaly probability of each parameter in different value ranges. Multiple thresholds of the corresponding parameters are set according to the anomaly probability.

[0238] Based on the analysis results of parameter range and abnormal probability, multiple thresholds are set for each parameter of the battery cell;

[0239] The threshold is verified and iteratively optimized based on the actual monitoring results.

[0240] In some embodiments, the acquisition module includes:

[0241] A first acquisition unit is used to acquire the internal resistance of a single battery cell by using a preset first sampling frequency;

[0242] A second collecting unit is used to collect the voltage of the battery cell by using a preset second sampling frequency;

[0243] A third collecting unit is used to collect the temperature of the battery cell by using a preset third sampling frequency;

[0244] An adjustment unit, used to dynamically adjust the sampling frequency according to the real-time collected data;

[0245] If the current sampled data of any cell parameter is greater than the third threshold of the parameter, and the rate of change between the current sampled data and the previous sampled data exceeds the second preset rate of change threshold of the parameter, the sampling frequency adjustment mechanism is triggered; the second change threshold is determined based on the rate of change of the parameter between two adjacent historical samplings; the third threshold is less than the first threshold of the corresponding parameter; the current parameter is the most recently sampled parameter;

[0246] If the sampled data of all battery cell parameters are less than or equal to the third threshold of the corresponding parameters within the preset second time, the sampling frequency callback mechanism is triggered;

[0247] The working principle and effect of the above technical solution are consistent with the principle and effect of the method described in the embodiment, and will not be repeated here.

[0248] This embodiment further provides a battery management system, the management system comprising:

[0249] At least one battery cell, a wireless monitoring device, and the monitoring apparatus described in the embodiments of the present application;

[0250] The wireless monitoring equipment uses the device to monitor battery cell parameters and issue an early warning.

[0251] An embodiment of the present application also provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of any method described in the embodiment of the present application or the functions of the device described in the embodiment of the present application.

[0252] The embodiments of the present application also provide a computer-readable storage medium for storing a computer program. When the computer program is executed, the steps of the method in the embodiments of the present application are implemented. The specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned method embodiments, and some contents are not repeated here.

[0253] In the present application, a readable storage medium can be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, device, or device. A program product can be any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0254] A computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, or any suitable combination thereof. The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar programming languages. The program code may be executed entirely on the user computing device, partially on an associated device, as a standalone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0255] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limiting the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the invention without departing from the principles and purpose of the present invention. All such changes shall fall within the scope of protection of the claims of the present invention.

Claims

1. A battery cell monitoring method, applied to a battery system, characterized in that: The battery system includes at least one group of battery cells and a wireless monitoring device arranged on each of the battery cells, and the method includes: Collecting battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature; Determine the state of the battery cell according to the real-time parameters, parameter changes and corresponding parameter thresholds; Perform an alarm operation based on the judgment result.

2. The monitoring method according to claim 1, characterized in that: The internal resistance, voltage and temperature of the battery cell each include multiple thresholds, and the voltage thresholds of the battery cell during charging and discharging are different.

3. The monitoring method according to claim 2, characterized in that: The battery system includes a plurality of battery cells, the battery cell internal resistance threshold includes a single battery cell internal resistance threshold and a battery system total internal resistance threshold; the battery cell voltage threshold includes a single battery cell internal resistance threshold and a battery system total voltage threshold; The temperature is an average of the temperatures of multiple cells in the battery system.

4. The monitoring method according to claim 3, characterized in that: The method comprises: The total voltage threshold of the battery system is: V zy =k1*f1(V 1y ,V 2y …V ny ) The total internal resistance threshold of the battery system is: R zy =k2*f2(R 1y ,R 2y …R ny ) Among them, V zy is the total voltage threshold of the battery system; R zy is the total voltage threshold of the battery system; f1() is the first functional relationship, f2() is the second functional relationship, V 1y ,V 2y …V ny is the voltage threshold of a single cell in the battery system; R 1y ,R 2y …R ny is the internal resistance threshold of a single cell in the battery system; k1 and k2 are safety factors, 0 <k1<1,0<k2<1。 5. The monitoring method according to claim 2, characterized in that: The method comprises: If any cell parameter exceeds the first threshold value of the corresponding parameter, and only one cell parameter exceeds the corresponding first threshold value, a first warning is issued; If any two battery cell parameters exceed the corresponding first threshold at the same time, a second warning is issued; If the internal resistance of the battery cell exceeds the second internal resistance threshold, a third warning is issued.

6. The monitoring method according to claim 3, characterized in that: The method comprises: If any single cell parameter is within the first threshold, but the total voltage of the battery system exceeds the first total voltage threshold; or, If the total internal resistance of the battery system exceeds the first total internal resistance threshold, a first warning is issued; If any two of the battery cell temperature, the total voltage of the battery system, and the total internal resistance of the battery system exceed the corresponding first threshold, a second warning is issued; If the total internal resistance of the battery system exceeds the second threshold of the total internal resistance, a second warning is issued; If the internal resistance of any single battery cell exceeds the first threshold of the corresponding internal resistance and is less than the second threshold of the corresponding internal resistance, and any other battery cell parameters are within the corresponding first threshold range, but the total internal resistance of the battery system exceeds the second threshold of the total internal resistance, a third warning is issued.

7. The monitoring method according to claim 2 or 3, characterized in that: The method comprises: If any cell parameter and the overall parameter of the battery system are within the corresponding first threshold, record the parameter; In a preset first time period, obtaining a change rate of the current parameter based on the initial parameter in the corresponding preset time period; If the difference between any current parameter and the first threshold value corresponding to the parameter is within a preset range, and the change rate of the current parameter based on the initial parameter corresponding to the parameter is greater than the preset change rate threshold, a fourth warning is issued.

8. The monitoring method according to claim 1 or 2, characterized in that: The method for obtaining the parameter threshold comprises: Collect historical data generated during the operation of the battery system and train anomaly detection models; Through the trained anomaly detection model, the battery cell parameters are analyzed to obtain the anomaly probability of each parameter in different value ranges. Multiple thresholds of the corresponding parameters are set according to the anomaly probability. Based on the analysis results of parameter range and abnormal probability, multiple thresholds are set for each parameter of the battery cell; The threshold is verified and iteratively optimized based on the actual monitoring results.

9. A battery cell monitoring device, characterized in that: The device comprises: A collection module, used to collect battery cell parameters through the wireless monitoring device; the battery cell parameters include battery cell internal resistance, voltage and temperature; A judgment module, used to judge the state of the battery cell according to real-time parameters, parameter changes and corresponding parameter thresholds; The alarm module is used to perform an alarm operation according to the determination result.

10. A battery management system, characterized in that: The system comprises: At least one battery cell, a wireless monitoring device, and the monitoring apparatus according to claim 9; The wireless monitoring equipment utilizes the device to monitor the battery cell parameters and issue an early warning.

11. An electronic device, characterized in that: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of any method described in claims 1 to 8 or implements the functions of the device described in claim 9 when executing the computer program.

12. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions. When a computer reads the computer instructions, the computer executes the steps of the method according to any one of claims 1 to 8 or implements the functions of the device according to claim 9.

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