Balanced management method and system for wireless communication of multiple battery packs

Abstract

The invention relates to the technical field of power distribution equipment, and provides an equalization management method and system for wireless communication of multiple battery packs, which comprises the following steps: selecting any one sub-battery as a host battery, networking and linking a control module of the host battery with control modules of all the rest sub-batteries, and transmitting the control module to the host battery; acquiring data acquired by the control modules of all the sub-batteries in real time by using the control module of the host battery, and if the voltage difference between every two batteries does not meet a preset voltage difference threshold value, performing voltage reduction on all the batteries based on a voltage difference value to generate a voltage reduction report; and carrying out reversibility analysis on the influence factors to obtain a reversibility analysis report, generating a balance regulation and control report based on the voltage reduction report and the reversibility analysis report, and sending the balance regulation and control report to the mobile terminal. By means of the scheme, automatic balance regulation and control are achieved, and the problem that when the difference between the voltage difference of a certain sub-battery and the voltage difference of other sub-batteries is too large, the voltage is unbalanced, and all the batteries need to be disassembled for manual balance adjustment is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution equipment, and in particular to a method and system for balancing management of wireless communications of multiple battery packs. Background Art

[0002] With the rapid development of new energy technologies, battery packs are increasingly used in various fields, especially in electric vehicles, energy storage systems, and portable devices. With the advancement of battery technology, battery pack management technology has become particularly important because it directly affects the performance, life, and safety of the battery pack.

[0003] In related technical means, multiple sub-batteries are connected together through wires to form an integrated battery pack to power electric vehicles, energy storage systems and portable devices.

[0004] Regarding the above technical solution, although the control modules of multiple sub-batteries are connected together by wires to form an integrated battery pack, it is possible to power electric vehicles, energy storage systems and portable devices. However, when the voltage difference of a sub-battery in the battery pack is too different from the voltage difference of the other sub-batteries, the voltage of the battery pack will be unbalanced, which will lead to a significant decrease in the actual capacity of the battery pack. Each battery needs to be removed and manually adjusted to balance it, which increases labor costs and reduces the user experience. Summary of the invention

[0005] In order to improve the problem that when the voltage difference of a sub-battery in the battery pack differs too much from the voltage difference of the other sub-batteries, the voltage of the battery pack will be unbalanced, which will lead to a significant decrease in the actual capacity of the battery pack and the need to remove each battery for manual adjustment and balancing, the present application provides a balancing management method and system for wireless communication of multiple battery packs.

[0006] The present invention provides a method for managing wireless communication of a multi-battery pack. The multi-battery pack includes a plurality of sub-batteries, each of which is provided with a control module. The method for managing the multi-battery pack includes: selecting any sub-battery as a host battery, and using wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a wireless local area network of the battery pack; based on the wireless local area network of the battery pack, using the control module of the host battery to collect data collected by the control modules of all sub-batteries in real time to obtain real-time data of all sub-batteries, and classifying the real-time data of all sub-batteries to obtain a voltage set and an influence set; The voltage set is subjected to a voltage difference analysis. If the voltage difference between each battery in the voltage set does not satisfy a preset voltage difference threshold, the voltage set and the influence set are analyzed to obtain the abnormal voltage and influence factors of the abnormal battery; the voltage difference value of the abnormal voltage is calculated, and the voltage of all batteries is reduced based on the voltage difference value until the voltage difference of all batteries satisfies the preset voltage difference threshold, and a voltage reduction report is generated; a reversibility analysis is performed on the influence factors to obtain a reversibility analysis report, and a balancing control report is generated based on the voltage reduction report and the reversibility analysis report, and the balancing control report is sent to a mobile terminal to realize real-time monitoring and management of multiple battery packs.

[0007] As a preferred solution, before each sub-battery's control module leaves the factory, a unique identification code is pre-burned, and the step of selecting any sub-battery as a host battery, and using wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a battery pack wireless local area network includes: selecting any sub-battery as a host battery, sending a broadcast network initialization signal based on the host battery, and generating an initialization signal packet based on the broadcast network initialization signal; wherein the initialization signal packet includes the identification code and network configuration parameters of the host battery; the control modules of the other sub-batteries receive the initialization signal packet, and parse and obtain the initialization signal packet; The control modules of the remaining sub-batteries send the response signals containing their own information to the control module of the host battery to form a response signal set; wherein the response signal includes the identification code and status information; the control module of the host battery receives the response signal set, extracts the identification code and status information of each sub-battery, generates a network node list, and based on the network node list, enables the control module of the host battery to negotiate communication parameters with the control modules of each sub-battery, establish a wireless communication link, obtain a communication link, and establish a battery pack wireless local area network based on the communication link.

[0008] As a preferred solution, the steps of using the control module of the host battery to collect data collected by the control modules of all sub-batteries in real time, obtaining real-time data of all sub-batteries, classifying the real-time data of all sub-batteries, and obtaining a voltage set and an influence set include: the control module of each sub-battery collects its own voltage parameter, current parameter and temperature parameter to generate a corresponding original data set, binds the original data set with its own identification code to form a data packet set, and sends the data packet set to the control module of the host battery through the communication link to form a data stream; receiving all data streams through the control module of the host battery, disassembling the data packet set of each sub-battery, extracting the original data and identification code of each sub-battery, and generating a comprehensive data set; The control module based on the host battery classifies the comprehensive data set according to the identification code to form a classified data set; the voltage parameters are extracted from the classified data set based on the data decoding method of frame format analysis, and summarized to form a voltage set; the current parameters and the temperature parameters are extracted from the classified data set through a discrete wavelet transform algorithm, and the current parameters are subjected to spectrum analysis based on fast Fourier transform, and current influencing factor data are generated based on the spectrum analysis results; the temperature parameters are subjected to trend analysis using a preset linear regression model, and temperature influencing factor data are generated based on the trend analysis results; the voltage set is subjected to a Pearson correlation coefficient test using the current influencing factor data and the current influencing factor data, and an influence set is generated based on the test results.

[0009] As a preferred solution, the voltage set is subjected to a voltage difference analysis. If the voltage difference between two batteries in the voltage set does not satisfy a preset voltage difference threshold, the voltage set and the influence set are analyzed to obtain the abnormal voltage and influence factors of the abnormal battery, including: calculating the voltage difference between each sub-battery based on the voltage set to generate a voltage difference matrix, comparing the difference in the voltage difference matrix with a preset voltage difference threshold to generate a difference comparison result set; extracting the voltage difference items that do not satisfy the voltage difference threshold in the difference comparison result set to generate an abnormal voltage difference set, identifying the sub-batteries involved from the abnormal pressure difference set to form an abnormal battery set; extracting the influence factor data corresponding to the abnormal battery from the influence set, and generating an influence factor subset, performing dimensionality reduction processing on the influence factor subset through principal component analysis, and generating an influence factor analysis report based on the dimensionality reduction result; integrating the abnormal battery set, the abnormal pressure difference set and the influence factor analysis report to generate the abnormal voltage and influence factors of the abnormal battery.

[0010] As a preferred solution, the step of performing dimensionality reduction processing on the subset of influencing factors through principal component analysis and generating an influencing factor analysis report based on the dimensionality reduction result includes: performing dimensionality reduction processing on the subset of influencing factors through principal component analysis to obtain the temperature change rate, current fluctuation amplitude and internal resistance increment, using a threshold segmentation method to divide the temperature change rate into intervals to obtain a high temperature interval and a low temperature interval; performing a joint analysis on the current fluctuation amplitude and the internal resistance increment in the high temperature interval and the low temperature interval to obtain combined data, and using a K-means clustering algorithm to cluster the combined data to obtain a clustering result and a corresponding clustering center; applying a line The clustering results are classified and verified by using the discrimination analysis, and the classification data of influencing factors are generated based on the verification results; the importance of the factors is analyzed on the classification data of influencing factors by using the entropy weight method, the weight of each influencing factor on the abnormal voltage is calculated, and the weight values ​​of several influencing factors are obtained; the cluster center is associated with the weight values ​​of all the influencing factors, and the key influencing factor combination is identified based on the association analysis results; the value range and change trend of the key influencing factors are analyzed by using the trend analysis method to obtain the factor analysis results, and the specific impact of the factor analysis results on the abnormal voltage is evaluated according to the sensitivity analysis, and an influencing factor analysis report is generated.

[0011] As a preferred solution, the step of calculating the voltage difference of the abnormal voltage, reducing the voltage of all batteries based on the voltage difference until the voltage difference of all batteries meets the preset voltage difference threshold, and generating a voltage reduction report includes: calculating the voltage difference between the abnormal voltage and the voltage difference threshold, generating a voltage difference value set, formulating a voltage reduction plan for each sub-battery according to the voltage difference value set, and generating a voltage reduction parameter set; sending the voltage reduction parameter set to the corresponding sub-battery control module, the control module of each sub-battery adjusts the discharge circuit according to the voltage reduction parameter set, and starts to perform the voltage reduction operation. During the voltage reduction process, the voltage change of each sub-battery is monitored in real time, and the voltage difference value set is analyzed in real time to obtain an updated voltage difference value set; repeatedly performing the voltage difference analysis step to determine whether the updated voltage difference value set meets the preset voltage difference threshold; if not, continuing to perform the voltage reduction operation; if satisfied, stopping the voltage reduction operation, and recording the voltage change and voltage reduction parameters of each sub-battery during the voltage reduction process to generate a voltage reduction report.

[0012] As a preferred scheme, the steps of performing reversibility analysis and evaluation on the influencing factors to obtain a reversible factor analysis report and an irreversible factor evaluation report, and generating a balanced control report based on the voltage reduction report, the reversible factor analysis report and the irreversible factor evaluation report include: classifying each factor in the influencing factors by a decision tree algorithm to distinguish reversible factors from irreversible factors; using sensitivity analysis to analyze the specific degree of influence of the reversible factors on battery performance to generate a reversible factor analysis report; wherein the reversible factors include temperature and load changes; using fault tree analysis to evaluate the specific degree of influence of the irreversible factors on battery performance to generate an irreversible factor evaluation report; wherein the irreversible factors include battery aging and damage; summarizing the voltage reduction report with the reversible factor analysis report and the irreversible factor evaluation report to form a balanced control plan, generating adjustment measures for the reversible factors and maintenance suggestions for the irreversible factors based on the balanced control plan, generating a set of control measures based on the adjustment measures and the maintenance suggestions, and compiling a balanced control report based on the set of control measures.

[0013] The present application also provides a balancing management system for multi-battery group wireless communication. The multi-battery group of the balancing management system for multi-battery group wireless communication includes a plurality of sub-batteries, each of which is provided with a control module. The balancing management system for multi-battery group wireless communication also includes: a selection unit for selecting any sub-battery as a host battery, and networking and linking the control module of the host battery with the control modules of all other sub-batteries by using wireless communication technology to obtain a battery group wireless local area network; a collection unit for collecting data collected by the control modules of all sub-batteries in real time based on the battery group wireless local area network by using the control module of the host battery, and obtaining real-time data of all sub-batteries, and classifying the real-time data of all sub-batteries to obtain a voltage set and an influence set; an analyzing unit, used to perform a voltage difference analysis on the voltage set, if the voltage difference between the batteries in the voltage set does not meet the preset voltage difference threshold, the voltage set and the influence set are analyzed to obtain the abnormal voltage and influencing factors of the abnormal battery; a voltage reduction unit, used to calculate the voltage difference difference of the abnormal voltage, and reduce the voltage of all batteries based on the voltage difference difference until the voltage difference of all batteries meets the preset voltage difference threshold, and generate a voltage reduction report; a generating unit, used to perform a reversibility analysis on the influencing factors to obtain a reversibility analysis report, generate a balancing control report based on the voltage reduction report and the reversibility analysis report, and send the balancing control report to the mobile terminal to realize real-time monitoring and management of multiple battery packs.

[0014] Compared with the prior art, the present application has the following beneficial effects: automatic balancing and strong flexibility. By selecting a host battery and establishing a wireless local area network for a battery pack, the control module of the host battery can collect and process the status data of all sub-batteries in real time, thereby ensuring the voltage balance of the battery pack; when a sub-battery in the battery pack is abnormal, the battery status can be adjusted in time through voltage difference analysis, voltage reduction processing and reversibility analysis to avoid the decline of the overall performance of the battery pack, and the function of sending the balancing control report to the mobile terminal enables the user to understand the working status of the battery pack at any time, improves intelligence and user experience, not only automates the balancing control measures, increases the flexibility of balancing control, but also reduces the necessity of manual operation, reduces labor costs, and significantly improves the service life and safety of the battery pack, and improves the problem that when the voltage difference of a sub-battery in the battery pack is too different from the voltage difference of the other sub-batteries, the voltage of the battery pack will be unbalanced, which will lead to a significant decrease in the actual capacity of the battery pack, and each battery needs to be removed and manually adjusted for balancing. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0017] Figure 1 It is a flow chart of a method for managing the balancing of wireless communications of multiple battery packs provided by an embodiment of the present invention; Figure 2 It is a schematic block diagram of the structure of a balancing management system for wireless communication of multiple battery packs provided by an embodiment of the present invention.

[0018] Description of reference numerals: 10. Balance management system for wireless communication of multiple battery packs; 11. Selection unit; 12. Collection unit; 13. Analysis unit; 14. Voltage reduction unit; 15. Generation unit. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0021] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0022] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0023] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0024] Embodiment 1: like Figure 1 As shown, an embodiment of the present application provides a method for balancing management of wireless communications of multiple battery packs, wherein the multiple battery packs include a plurality of sub-batteries, each of which is provided with a control module, and the method for managing the multiple battery packs includes steps S100 to S500.

[0025] Step S100: select any sub-battery as a host battery, and use wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a battery pack wireless local area network.

[0026] In this step, all sub-batteries must first be preliminarily tested to ensure that they function normally, and then a control module of the host battery is established by selecting a sub-battery as the host battery. Specifically, the control module of the host battery is networked with the control modules of all other sub-batteries through wireless communication technology to form a battery pack wireless local area network, so that the host battery can communicate data with other sub-batteries.

[0027] For example, a sub-battery with a larger capacity and better health status in the battery pack is selected as the host battery, and its control module is connected to the control modules of other sub-batteries through wireless communication technologies such as Bluetooth or Wi-Fi to form a stable wireless local area network.

[0028] Step S200: Based on the battery pack wireless local area network, the control module of the host battery collects data collected by the control modules of all sub-batteries in real time to obtain the real-time data of all sub-batteries, classify the real-time data of all sub-batteries, and obtain a voltage set and an impact set.

[0029] In this step, the control module of the host battery is responsible for communicating with the control module of each sub-battery to obtain the real-time status data of each sub-battery. Specifically, through the wireless local area network, the control module of the host battery can collect the voltage, temperature and other parameters of all sub-batteries in real time, and perform preliminary processing and classification on these data to form a voltage set and an impact set.

[0030] For example, the control module of the host battery receives data from the control modules of each sub-battery once a second, classifies and processes the data, and obtains a voltage set including voltage readings and an impact set of other environmental factors.

[0031] Step S300: Perform voltage difference analysis on the voltage set. If the voltage difference between two batteries in the voltage set does not meet the preset voltage difference threshold, the voltage set and the influence set are analyzed to obtain the abnormal voltage and influence factors of the abnormal battery.

[0032] In this step, the control module of the host battery performs a detailed voltage difference analysis on the voltage set. Specifically, the voltage difference between each sub-battery is compared to determine whether it exceeds the preset voltage difference threshold. If there is a voltage difference between two batteries in the voltage set that exceeds the threshold, the voltage set and the impact set are further analyzed to identify abnormal batteries and related impact factors that cause voltage abnormality.

[0033] For example, when it is detected that the voltage difference between two sub-batteries exceeds a preset threshold of 0.1V, the temperature change and current load of these batteries are further analyzed to confirm which sub-battery has an abnormality and the reason.

[0034] Step S400: Calculate the voltage difference of the abnormal voltage, reduce the voltage of all batteries based on the voltage difference, until the voltage difference of all batteries meets the preset voltage difference threshold, and generate a voltage reduction report.

[0035] In this step, the control module of the host battery calculates the voltage differential value of the abnormal battery and takes corresponding voltage reduction measures. Specifically, according to the voltage differential value, the abnormal battery is gradually reduced until the voltage differential of all batteries returns to the preset voltage differential threshold range. Then, a detailed voltage reduction report is generated to record the adjustment process and the final result.

[0036] For example, when it is found that the voltage of a sub-battery is too high and exceeds the normal range of 0.05V, the charging current of the battery is gradually reduced until the voltage returns to normal, and this process is recorded in the voltage reduction report.

[0037] Step S500: Perform reversibility analysis on the influencing factors to obtain a reversibility analysis report, generate a balancing control report based on the voltage reduction report and the reversibility analysis report, and send the balancing control report to the mobile terminal to achieve real-time monitoring and management of multiple battery packs.

[0038] In this step, the control module of the host battery performs a reversibility analysis on the factors that cause voltage anomalies. Specifically, it evaluates whether these factors can be improved through further regulation and generates a reversibility analysis report. Combined with the previous voltage reduction report, a complete balancing regulation report is generated and sent to the mobile terminal so that the user can monitor and manage the status of the battery pack in real time.

[0039] For example, if the abnormality of a sub-battery is caused by temporary overheating, the abnormality is reversible by lowering the ambient temperature or reducing the load. At this time, a reversibility analysis report is generated and corresponding measures are recommended.

[0040] In this embodiment, by selecting any sub-battery as the host battery, the control module of the host battery is networked with the control modules of all other sub-batteries using wireless communication technology to form a wireless local area network for the battery pack. Based on this network, the control module of the host battery collects the data collected by the control modules of all sub-batteries in real time, and classifies them to obtain a voltage set and an influence set. When the voltage difference between the batteries in the voltage set does not meet the preset voltage difference threshold, the voltage set and the influence set are parsed to identify the abnormal battery, and the voltage difference of the abnormal voltage is calculated. Finally, all batteries are reduced in voltage based on the voltage difference until the voltage difference meets the preset threshold, and relevant reports are generated to achieve balanced regulation and real-time monitoring. Real-time monitoring and management of multiple battery packs are achieved through wireless communication technology, which effectively solves the problems of complex wiring and lack of flexibility in the prior art. At the same time, the control module of the host battery is used to classify and analyze the real-time data of all sub-batteries, ensuring the voltage balance of the battery pack, avoiding the decrease in the actual capacity of the battery pack due to voltage imbalance, and improving the problem that when the voltage difference of a sub-battery in the battery pack is too different from the voltage difference of the other sub-batteries, the voltage imbalance of the battery pack will occur, which will lead to a significant decrease in the actual capacity of the battery pack and the need to remove each battery for manual adjustment and balance.

[0041] Embodiment 2: Before each sub-battery's control module leaves the factory, a unique identification code is pre-burned. In step S100, any sub-battery is selected as the host battery, a broadcast network initialization signal is sent based on the host battery, and an initialization signal packet is generated based on the broadcast network initialization signal; wherein the initialization signal packet includes the host battery's identification code and network configuration parameters.

[0042] By burning a unique identification code into the control module of each sub-battery before it leaves the factory, it can ensure that each sub-battery has a unique identity in the network to avoid data confusion. Specifically, after the host battery is selected, a broadcast network initialization signal is sent through its control module, and an initialization signal packet containing the host battery identification code and network configuration parameters is generated based on the signal so that other sub-batteries can identify and join the network.

[0043] For example, the host battery sends an initialization signal packet containing its unique identification code and set network configuration parameters, such as communication frequency and bandwidth.

[0044] The control modules of the remaining sub-batteries receive the initialization signal packet, parse it to obtain the identification code and network configuration parameters of the host battery, and generate corresponding response signals. The control modules of the remaining sub-batteries send their own response signals to the control module of the host battery to form a response signal set; wherein the response signal includes the identification code and status information.

[0045] By receiving and parsing the initialization signal packet, other sub-batteries can identify the host battery and obtain necessary network configuration parameters. Specifically, each sub-battery generates a response signal, including its identification code and current status information, and sends it to the control module of the host battery to form a complete response signal set.

[0046] For example, after receiving the initialization signal packet, the sub-battery generates a response signal including its own identification code and status information such as current voltage and temperature, and sends it to the host battery.

[0047] The control module of the host battery is used to receive the response signal set, and the identification code and status information of each sub-battery are extracted to generate a network node list. Based on the network node list, the control module of the host battery negotiates communication parameters with the control modules of each sub-battery, establishes a wireless communication link, obtains a communication link, and establishes a battery pack wireless local area network based on the communication link.

[0048] By receiving and processing the response signal set through the control module of the host battery, the identification code and status information of each sub-battery can be extracted to generate a complete network node list. Specifically, the control module of the host battery negotiates communication parameters with the control modules of each sub-battery to establish a stable wireless communication link, and finally forms a battery pack wireless local area network.

[0049] For example, the control module of the host battery extracts the identification code and status information from the response signal set, generates a network node list, and establishes a wireless communication link by negotiating communication parameters (such as transmission rate and channel).

[0050] In step S200, the control module of each sub-battery collects its own voltage parameters, current parameters and temperature parameters to generate a corresponding original data set, which is bound to its own identification code to form a data packet set, and the data packet set is sent to the control module of the host battery through a communication link to form a data stream.

[0051] The control module of each sub-battery collects its own key parameters (voltage, current, temperature) in real time to form a complete set of raw data. Specifically, these data are bound to the identification code of the sub-battery to generate a data packet set, which is sent to the control module of the host battery through the previously established communication link to form a continuous data stream.

[0052] For example, the control module of each sub-battery collects voltage, current and temperature parameters once a second, generates a data packet containing these data and an identification code, and sends it to the host battery.

[0053] All data streams are received through the control module of the host battery, and the data packet sets of each sub-battery are disassembled, the original data and identification code of each sub-battery are extracted, and a comprehensive data set is generated.

[0054] The control module of the host battery receives the data stream from each sub-battery, disassembles the data packet, and extracts the original data and identification code. Specifically, these data are integrated into a comprehensive data set for subsequent analysis and processing.

[0055] For example, in the data stream received by the host battery, each data packet contains the identification code of the sub-battery and its original data such as voltage, current, temperature, etc. By parsing these data packets, a comprehensive data set containing all sub-battery data is generated.

[0056] The host battery-based control module classifies the comprehensive data set according to the identification code to form a classified data set.

[0057] The comprehensive data set is classified through the control module of the host battery. Specifically, the data of each sub-battery is classified in order according to its identification code to form a classified data set, which is convenient for accurate management and analysis of the data.

[0058] For example, the host battery stores the original data of each sub-battery in the comprehensive data set separately according to the identification code to form a classified data set, such as the data set of battery 1, the data set of battery 2, and so on.

[0059] The data decoding method based on frame format analysis extracts voltage parameters from the classified data set and aggregates them into a voltage set. The current parameters and temperature parameters are extracted from the classified data set through the discrete wavelet transform algorithm. The current parameters are subjected to spectrum analysis based on the fast Fourier transform, and the current influencing factor data is generated based on the spectrum analysis results.

[0060] The data decoding method of frame format analysis can accurately extract and summarize voltage parameters from the classified data set. Specifically, the discrete wavelet transform algorithm is used to extract current and temperature parameters, and the fast Fourier transform is used to perform spectrum analysis on current parameters to generate current influencing factor data.

[0061] For example, the voltage data of each sub-battery is extracted through the frame format parsing method and summarized into a voltage set; the current and temperature parameters are extracted from the data using discrete wavelet transform, and then the current spectrum is analyzed through fast Fourier transform to generate current influencing factor data.

[0062] The preset linear regression model is used to perform trend analysis on the temperature parameters, and the temperature influencing factor data is generated based on the trend analysis results. The Pearson correlation coefficient test is performed on the voltage set through the current influencing factor data and the current influencing factor data, and the influence set is generated based on the test results.

[0063] The temperature parameters are trend analyzed by the preset linear regression model. Specifically, the trend of temperature change over time is analyzed to generate temperature influencing factor data. Combined with the current influencing factor data, the Pearson correlation coefficient test is used to evaluate the impact of these factors on the voltage set to form an impact set.

[0064] For example, a linear regression model is used to analyze the changing trend of temperature data and derive the factors affecting temperature on voltage. The current influencing factor data is used to perform correlation tests, evaluate its relationship with voltage changes, and generate a comprehensive set of influences.

[0065] In step S300, the voltage difference between each sub-battery is calculated based on the voltage set to generate a voltage difference matrix, and the difference in the voltage difference matrix is ​​compared with a preset voltage difference threshold to generate a difference comparison result set.

[0066] The voltage difference matrix is ​​generated by calculating the voltage difference between each sub-battery based on the voltage set. Specifically, each difference in the voltage difference matrix is ​​compared with a preset voltage difference threshold to form a difference comparison result set for identifying voltage abnormalities.

[0067] For example, the voltage difference between each pair of sub-batteries is calculated and recorded in a matrix, and each difference is compared with a preset voltage difference threshold of 0.05V to generate a difference comparison result set.

[0068] The voltage difference items that do not meet the voltage difference threshold in the difference comparison result set are extracted to generate an abnormal voltage difference set, and the sub-batteries involved are identified from the abnormal voltage difference set to form an abnormal battery set.

[0069] By extracting the voltage difference items that do not meet the voltage difference threshold from the difference comparison result set, an abnormal voltage difference set is generated. Specifically, the sub-batteries involved are identified from the abnormal voltage difference set to form an abnormal battery set for further analysis and processing.

[0070] For example, all voltage difference items exceeding a preset voltage difference threshold are extracted from the difference comparison result to generate an abnormal voltage difference set, and the sub-batteries corresponding to these abnormal voltage differences are identified to form an abnormal battery set.

[0071] The influencing factor data corresponding to the abnormal battery is extracted from the influencing set, and an influencing factor subset is generated. The influencing factor subset is reduced in dimension through principal component analysis, and an influencing factor analysis report is generated based on the dimensionality reduction result.

[0072] By extracting the influencing factor data of abnormal batteries from the influencing set, a subset of influencing factors is generated. Specifically, the subset of influencing factors is reduced in dimension through principal component analysis to simplify the data dimension and generate a detailed influencing factor analysis report.

[0073] For example, the temperature and current influencing factor data of abnormal batteries are extracted from the influencing set to form a subset of influencing factors. The dimension is reduced through principal component analysis to obtain a simplified data set, and an analysis report is generated to display the main influencing factors.

[0074] Integrate the abnormal battery set, abnormal voltage difference set and influencing factor analysis report to generate the abnormal voltage and influencing factors of the abnormal battery.

[0075] By integrating the abnormal battery set, abnormal voltage difference set and influencing factor analysis report, the abnormal voltage and related influencing factors of each abnormal battery are generated; specifically, the abnormal voltage data of the abnormal battery and its corresponding influencing factors are compared and analyzed in detail to determine the specific abnormal situation and its possible cause.

[0076] For example, by comparing and analyzing the abnormal voltage data of an abnormal battery with factors such as temperature and current, it is determined that the abnormal voltage of the battery may be caused by a high temperature environment.

[0077] Among them, the steps of reducing the dimension of a subset of influencing factors through principal component analysis and generating an influencing factor analysis report based on the dimension reduction results include: reducing the dimension of a subset of influencing factors through principal component analysis to obtain the temperature change rate, current fluctuation amplitude and internal resistance increment, and dividing the temperature change rate into intervals using a threshold segmentation method to obtain a high temperature interval and a low temperature interval.

[0078] By reducing the dimensionality of the influencing factor subsets through principal component analysis, the dimension of the data can be effectively reduced and the main influencing factors can be highlighted. Specifically, by dividing the temperature change rate into intervals, high temperature intervals and low temperature intervals can be distinguished so that analysis can be performed under different temperature conditions.

[0079] For example, principal component analysis is used to reduce the dimension of data such as temperature change rate, current fluctuation amplitude and internal resistance increment, and the temperature change rate is divided into high temperature and low temperature intervals using the threshold segmentation method.

[0080] The current fluctuation amplitude and the internal resistance increment are jointly analyzed in the high temperature range and the low temperature range to obtain the combined data, and the K-means clustering algorithm is used to cluster the combined data to obtain the clustering results and the corresponding clustering centers.

[0081] By jointly analyzing the current fluctuation amplitude and internal resistance increment in the high temperature range and the low temperature range, the influence mode under different temperature conditions can be more accurately identified. Specifically, these combined data are clustered using the K-means clustering algorithm to obtain clustering results and cluster centers in order to understand the distribution of various types of data.

[0082] For example, under high and low temperature conditions, the data of current fluctuation and internal resistance increment are jointly analyzed, and the data patterns are identified through the K-means clustering algorithm to obtain clustering results and center points.

[0083] Linear discriminant analysis was applied to classify and verify the clustering results, and classification data of influencing factors were generated based on the verification results.

[0084] The clustering results were classified and verified by linear discriminant analysis. Specifically, the accuracy of the clustering results was evaluated and classification data of influencing factors was generated to ensure the reliability of the analysis results. For example, the linear discriminant analysis method is used to verify the classification accuracy of the K-means clustering results and generate detailed classification data of influencing factors.

[0085] The importance of factors is analyzed on the classified data of influencing factors through the entropy weight method, the weight of each influencing factor on abnormal voltage is calculated, and the weight values ​​of several influencing factors are obtained.

[0086] The importance of the classified data of influencing factors is analyzed by the entropy weight method. Specifically, the influence weight of each influencing factor on the abnormal voltage is calculated to obtain a set of weight values ​​in order to determine the main influencing factors.

[0087] For example, the entropy weight method is used to evaluate the importance of different influencing factors, and the influence weight of each factor on the battery voltage abnormality is calculated to obtain several weight values.

[0088] By performing correlation analysis between the cluster center and the weight values ​​of all influencing factors, the key influencing factor combination is identified based on the correlation analysis results.

[0089] Through association analysis, the cluster centers are matched with the weight values ​​of the influencing factors. Specifically, the combination of key factors that has the greatest impact on abnormal voltage is identified, providing a basis for further adjustment and optimization.

[0090] For example, analyze the cluster center and the weight value of each influencing factor to determine the combination of key influencing factors, such as the comprehensive impact of temperature change and current fluctuation on voltage.

[0091] The trend analysis method is used to analyze the value range and change trend of key influencing factors to obtain the factor analysis results. The specific impact of the factor analysis results on the abnormal voltage is evaluated based on the sensitivity analysis, and an influencing factor analysis report is generated.

[0092] Through the trend analysis method, the value range and change trend of key influencing factors are analyzed in detail. Specifically, the law of change of these factors over time or conditions is evaluated, and their specific impact on abnormal voltage is evaluated in combination with sensitivity analysis, generating a comprehensive influencing factor analysis report.

[0093] For example, trend analysis is applied to evaluate the scope and trend of temperature and current changes, combined with sensitivity analysis to determine the extent of their impact on voltage anomalies, and generate detailed analysis reports.

[0094] In step S400, the voltage difference between the abnormal voltage and the voltage difference threshold is calculated to generate a voltage difference value set, and a voltage reduction plan for each sub-battery is formulated according to the voltage difference value set to generate a voltage reduction parameter set.

[0095] By calculating the voltage difference between the abnormal voltage and the preset voltage difference threshold, a voltage difference value set is formed. Specifically, a voltage reduction plan for each sub-battery is formulated according to these differences, and a corresponding voltage reduction parameter set is generated to perform a specific voltage reduction operation.

[0096] For example, the difference between each abnormal voltage and the 0.05V voltage difference threshold is calculated to form a voltage difference difference set, and a voltage reduction plan for each sub-battery is formulated based on the difference to generate a voltage reduction parameter.

[0097] The step-down parameter set is sent to the corresponding sub-battery control module. The control module of each sub-battery adjusts the discharge circuit according to the step-down parameter set and starts to perform the step-down operation. During the step-down process, the voltage change of each sub-battery is monitored in real time, and the pressure difference difference value set is collected in real time to obtain an updated pressure difference difference value set.

[0098] By sending the voltage reduction parameter set to the corresponding sub-battery control module, specifically, the control module adjusts the discharge circuit according to these parameters, performs the voltage reduction operation, and monitors the battery voltage change in real time and updates the voltage difference value set.

[0099] For example, the voltage reduction parameters are sent to the sub-battery control module, the discharge circuit is adjusted, the voltage reduction is started, and during this process, the voltage change is monitored in real time and the voltage difference is updated.

[0100] Repeat the pressure difference analysis step to determine whether the updated pressure difference value set meets the preset pressure difference threshold.

[0101] The voltage difference analysis step is repeatedly performed, specifically, whether the updated voltage difference value set meets the preset voltage difference threshold is checked to ensure the effectiveness of the voltage reduction process.

[0102] For example, during the voltage reduction process, a voltage difference analysis is continuously performed to determine whether the voltage reaches a preset voltage difference threshold within 0.05V.

[0103] If not, the voltage reduction operation continues; if satisfied, the voltage reduction operation is stopped, and the voltage changes and voltage reduction parameters of each sub-battery during the voltage reduction process are recorded to generate a voltage reduction report.

[0104] The voltage reduction operation is continued until the voltage difference of all sub-batteries meets the preset threshold. Specifically, the voltage reduction is stopped after the threshold is met, and the data of the entire voltage reduction process is recorded and a voltage reduction report is generated.

[0105] For example, if the voltage difference does not meet the requirement, the voltage reduction operation continues; when the requirement is met, the voltage reduction is stopped, relevant data is recorded, and a voltage reduction report is generated.

[0106] Among them, the reversibility of the influencing factors is analyzed and evaluated to obtain a reversible factor analysis report and an irreversible factor evaluation report, and the steps of generating a balanced regulation report based on the blood pressure reduction report, the reversible factor analysis report and the irreversible factor evaluation report include: classifying each factor in the influencing factors through a decision tree algorithm to distinguish between reversible factors and irreversible factors.

[0107] By conducting reversibility analysis and evaluation on each influencing factor, specifically, using a decision tree algorithm to classify each factor, determine which factors are reversible and which are irreversible, and form a relevant report.

[0108] For example, a decision tree classification algorithm is used to analyze the properties of different factors and distinguish between reversible factors such as temperature and load and irreversible factors such as battery aging and damage.

[0109] Sensitivity analysis is used to analyze the specific impact of reversible factors on battery performance and generate a reversible factor analysis report; among them, reversible factors include temperature and load changes.

[0110] The specific impact of reversible factors on battery performance is evaluated through sensitivity analysis. Specifically, factors such as temperature and load changes are analyzed to generate a detailed reversible factor analysis report.

[0111] For example, sensitivity analysis can be used to determine the impact of temperature changes and load variations on battery performance and generate detailed reports.

[0112] Fault tree analysis is used to evaluate the specific impact of irreversible factors on battery performance and generate an irreversible factor assessment report; irreversible factors include battery aging and damage.

[0113] Fault tree analysis is used to evaluate the impact of irreversible factors on battery performance. Specifically, irreversible factors such as battery aging and damage are analyzed to generate a corresponding evaluation report.

[0114] For example, the impact of battery aging and damage on battery performance can be analyzed through fault tree analysis, and an irreversible factor assessment report can be generated.

[0115] The blood pressure reduction report, the reversible factor analysis report and the irreversible factor assessment report are combined to form a balanced control plan. Based on the balanced control plan, adjustment measures for reversible factors and maintenance suggestions for irreversible factors are generated. Based on the adjustment measures and maintenance suggestions, a set of control measures is generated, and a balanced control report is prepared based on the set of control measures.

[0116] By summarizing the pressure reduction report, reversible factor analysis report and irreversible factor assessment report, specifically, a balanced control plan is formed, adjustment measures for reversible factors and maintenance suggestions for irreversible factors are proposed, and finally a detailed balanced control report is generated.

[0117] For example, by combining various analysis reports, a balancing control plan is developed, specific adjustment and maintenance measures are proposed, and a balancing control report is compiled to optimize battery pack management.

[0118] In this embodiment, by pre-burning a unique identification code in the control module of each sub-battery, the independent identification of each sub-battery is achieved. Any sub-battery is selected as the host battery, and its control module is used to send a broadcast network initialization signal to generate an initialization signal packet. The host battery sends its own identification code and network configuration parameters to the remaining sub-batteries through wireless communication technology. The other sub-batteries receive and parse the signal, generate a response signal packet and return it to the host battery, thereby completing the initialization and connection of the network. In this way, a stable battery pack wireless local area network is formed. The control module of each sub-battery collects its own voltage parameters, current parameters and temperature parameters respectively, generates a raw data set, and binds it with its own identification code to form a data packet set, which is sent to the control module of the host battery through a communication link. The control module of the host battery receives the data streams of all sub-batteries, disassembles the data packets, extracts the raw data and identification codes, generates a comprehensive data set, and performs classification and decoding analysis to extract the voltage set, current influencing factors and temperature influencing factors.

[0119] Based on the voltage set, the voltage difference between each sub-battery is calculated to generate a voltage difference matrix, which is compared with the preset voltage difference threshold to identify abnormal voltage differences and abnormal batteries. Subsequently, the influencing factors of abnormal batteries are extracted from the influencing set, and the influencing factor data are analyzed in detail using methods such as principal component analysis, K-means clustering and linear discriminant analysis to generate an influencing factor analysis report.

[0120] By calculating the voltage difference between the abnormal voltage and the voltage difference threshold, a voltage reduction plan is formulated, a voltage reduction parameter set is generated, and it is sent to the control module of each sub-battery for voltage reduction operation. During the voltage reduction process, the voltage change is monitored in real time, and the voltage difference is updated until the voltage difference of all batteries meets the preset threshold. Finally, a voltage reduction report is generated, realizing efficient and intelligent multi-battery group management and monitoring, effectively solving the problem of battery group voltage imbalance, improving stability and user experience, and reducing maintenance costs and manpower investment.

[0121] Embodiment 3: like Figure 2 As shown, the present application also provides a balancing management system 10 for wireless communication of multiple battery packs. The multiple battery packs of the system include a plurality of sub-batteries, each of which is provided with a control module. The system also includes a selection unit 11, a collection unit 12, an analysis unit 13, a voltage reduction unit 14 and a generation unit 15.

[0122] The selection unit 11 is mainly used to select any sub-battery as the host battery, and use wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a battery pack wireless local area network.

[0123] The selection unit 11 selects any sub-battery as the host battery, and uses wireless communication technology to network the control module of the host battery with the control modules of all sub-batteries to form a battery pack wireless local area network, thereby ensuring effective communication and data exchange among the sub-batteries in the system.

[0124] The acquisition unit 12 is mainly used to acquire the data collected by the control modules of all sub-batteries in real time based on the wireless local area network of the battery pack using the control module of the host battery, obtain the real-time data of all sub-batteries, classify the real-time data of all sub-batteries, and obtain the voltage set and the impact set.

[0125] The acquisition unit 12 collects real-time data of all sub-batteries through the control module of the host battery, including voltage parameters, current parameters and temperature parameters, and classifies and processes these data to generate voltage sets and impact sets to provide basic data for subsequent analysis.

[0126] The analysis unit 13 is mainly used to perform voltage difference analysis on the voltage set. If the voltage difference between two batteries in the voltage set does not meet the preset voltage difference threshold, the voltage set and the influence set are analyzed to obtain the abnormal voltage and influence factors of the abnormal battery.

[0127] The analysis unit 13 performs voltage difference analysis on the voltage set to identify whether the voltage difference between two batteries meets a preset threshold, and obtains the abnormal voltage and related influencing factors of the abnormal battery by parsing the voltage set and the influence set, so as to quickly locate the problem battery and its cause.

[0128] The voltage reduction unit 14 is mainly used to calculate the voltage difference of the abnormal voltage, and reduce the voltage of all batteries based on the voltage difference until the voltage difference of all batteries meets the preset voltage difference threshold, and generate a voltage reduction report.

[0129] The voltage reduction unit 14 performs a voltage reduction operation on all batteries according to the calculated voltage difference of the abnormal voltage until the voltage difference of all batteries meets a preset threshold value, and generates a voltage reduction report to ensure that the voltage of each battery in the battery pack is balanced.

[0130] The generation unit 15 is mainly used to perform reversibility analysis on the influencing factors, obtain a reversibility analysis report, generate a balancing control report based on the voltage reduction report and the reversibility analysis report, and send the balancing control report to the mobile terminal to achieve real-time monitoring and management of multiple battery packs.

[0131] The generating unit 15 performs reversibility analysis on the influencing factors to obtain a reversibility analysis report, and generates a balanced control report in combination with the voltage reduction report. The balanced control report is sent to the mobile terminal, so that the user can monitor and manage the status of the battery pack in real time, improving the intelligence of the system and the user experience.

[0132] In this embodiment, real-time monitoring and intelligent management of multiple battery packs are achieved through wireless communication technology, which effectively solves the problems of complex wiring and high maintenance costs of traditional wired management systems, significantly improves the performance, service life and safety of the battery pack, and has important practical application value.

[0133] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process of the system and each unit described above can refer to the corresponding process in the aforementioned multi-battery group wireless communication balancing management method embodiment, and will not be repeated here.

[0134] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for managing wireless communication balance of a multi-battery pack, wherein the multi-battery pack includes a plurality of sub-batteries, each of which is provided with a control module, characterized in that: The multi-battery management method comprises: Select any sub-battery as a host battery, and use wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a battery pack wireless local area network; Based on the battery pack wireless local area network, the control module of the host battery is used to collect data collected by the control modules of all sub-batteries in real time to obtain the real-time data of all sub-batteries, and the real-time data of all sub-batteries are classified to obtain a voltage set and an impact set; Performing a voltage difference analysis on the voltage set, if the voltage difference between two batteries in the voltage set does not meet a preset voltage difference threshold, parsing the voltage set and the impact set to obtain the abnormal voltage and impact factor of the abnormal battery; Calculating the voltage difference of the abnormal voltage, reducing the voltage of all batteries based on the voltage difference, until the voltage difference of all batteries meets a preset voltage difference threshold, and generating a voltage reduction report; A reversibility analysis is performed on the influencing factors to obtain a reversibility analysis report, a balancing control report is generated based on the voltage reduction report and the reversibility analysis report, and the balancing control report is sent to a mobile terminal to achieve real-time monitoring and management of multiple battery packs.

2. The method for managing the balancing of wireless communications of multiple battery packs according to claim 1, wherein a unique identification code is pre-burned into the control module of each sub-battery before it leaves the factory, wherein: The step of selecting any one sub-battery as a host battery and networking the control module of the host battery with the control modules of all other sub-batteries using wireless communication technology to obtain a battery pack wireless local area network includes: Select any sub-battery as a host battery, send a broadcast network initialization signal based on the host battery, and generate an initialization signal packet based on the broadcast network initialization signal; wherein the initialization signal packet includes an identification code of the host battery and network configuration parameters; The control modules of the remaining sub-batteries receive the initialization signal packet, parse to obtain the identification code and network configuration parameters of the host battery, and generate corresponding response signals. The control modules of the remaining sub-batteries send the response signals containing themselves to the control module of the host battery to form a response signal set; wherein the response signal includes the identification code and status information; The control module of the host battery is used to receive a response signal set, and to extract the identification code and status information of each sub-battery, to generate a network node list, and based on the network node list, the control module of the host battery negotiates communication parameters with the control modules of each sub-battery, establishes a wireless communication link, obtains a communication link, and establishes a battery pack wireless local area network based on the communication link.

3. The method for managing the balancing of wireless communications of multiple battery packs according to claim 2, characterized in that: The step of using the control module of the host battery to collect data collected by the control modules of all sub-batteries in real time to obtain the real-time data of all sub-batteries, classifying the real-time data of all sub-batteries, and obtaining a voltage set and an impact set includes: The control module of each sub-battery collects its own voltage parameter, current parameter and temperature parameter, generates a corresponding raw data set, binds the raw data set with its own identification code to form a data packet set, and sends the data packet set to the control module of the host battery through the communication link to form a data stream; Receive all data streams through the control module of the host battery, disassemble the data packet set of each sub-battery, extract the original data and identification code of each sub-battery, and generate a comprehensive data set; The control module based on the host battery classifies the comprehensive data set according to the identification code to form a classified data set; A data decoding method based on frame format analysis extracts the voltage parameter from the classified data set, aggregates to form a voltage set, extracts the current parameter and the temperature parameter from the classified data set by a discrete wavelet transform algorithm, performs spectrum analysis on the current parameter based on fast Fourier transform, and generates current influencing factor data based on the spectrum analysis result; The temperature parameters are trend analyzed using a preset linear regression model, temperature influencing factor data are generated based on the trend analysis results, the voltage set is tested for a Pearson correlation coefficient using the current influencing factor data and the current influencing factor data, and an influence set is generated based on the test results.

4. The method for managing the balancing of wireless communications of multiple battery packs according to claim 1, characterized in that: The step of performing a voltage difference analysis on the voltage set and parsing the voltage set and the influence set to obtain the abnormal voltage and influence factors of the abnormal battery if the voltage difference between the two batteries in the voltage set does not meet the preset voltage difference threshold includes: Calculating the voltage difference between each sub-battery based on the voltage set to generate a voltage difference matrix, comparing the difference in the voltage difference matrix with a preset voltage difference threshold, and generating a difference comparison result set; Extracting voltage difference items that do not meet the voltage difference threshold in the difference comparison result set to generate an abnormal voltage difference set, identifying the sub-batteries involved from the abnormal voltage difference set to form an abnormal battery set; Extracting influencing factor data corresponding to abnormal batteries from the influencing set, generating an influencing factor subset, performing dimensionality reduction processing on the influencing factor subset through principal component analysis, and generating an influencing factor analysis report based on the dimensionality reduction result; Integrate the abnormal battery set, abnormal voltage difference set and influencing factor analysis report to generate the abnormal voltage and influencing factors of the abnormal battery.

5. The method for managing the balancing of wireless communications of multiple battery packs according to claim 4, characterized in that: The step of performing dimensionality reduction processing on the influencing factor subset by principal component analysis and generating an influencing factor analysis report based on the dimensionality reduction result comprises: Performing dimensionality reduction processing on the subset of influencing factors by principal component analysis to obtain the temperature change rate, current fluctuation amplitude and internal resistance increment, and dividing the temperature change rate into intervals by using a threshold segmentation method to obtain a high temperature interval and a low temperature interval; Performing a joint analysis on the current fluctuation amplitude and the internal resistance increment in the high temperature range and the low temperature range to obtain combined data, and performing clustering processing on the combined data using a K-means clustering algorithm to obtain a clustering result and a corresponding clustering center; Applying linear discriminant analysis to classify and verify the clustering results, and generating classification data of influencing factors based on the verification results; The importance of the factors is analyzed on the classified data of the influencing factors by using the entropy weight method, the weight of each influencing factor on the abnormal voltage is calculated, and the weight values ​​of several influencing factors are obtained; By performing association analysis between the cluster center and the weight values ​​of all the influencing factors, a key influencing factor combination is identified based on the association analysis result; The trend analysis method is applied to analyze the value range and change trend of the key influencing factors to obtain factor analysis results. The specific impact of the factor analysis results on the abnormal voltage is evaluated based on sensitivity analysis to generate an influencing factor analysis report.

6. The method for managing the balancing of wireless communications of multiple battery packs according to claim 1, characterized in that: The step of calculating the voltage difference value of the abnormal voltage, reducing the voltage of all batteries based on the voltage difference value until the voltage difference of all batteries meets a preset voltage difference threshold, and generating a voltage reduction report includes: Calculating a voltage difference between the abnormal voltage and the voltage difference threshold, generating a voltage difference value set, formulating a voltage reduction plan for each sub-battery according to the voltage difference value set, and generating a voltage reduction parameter set; The voltage reduction parameter set is sent to the corresponding sub-battery control module, and the control module of each sub-battery adjusts the discharge circuit according to the voltage reduction parameter set and starts to perform the voltage reduction operation. During the voltage reduction process, the voltage change of each sub-battery is monitored in real time, and the voltage difference value set is calculated in real time to obtain an updated voltage difference value set; Repeat the pressure difference analysis step to determine whether the updated pressure difference value set meets a preset pressure difference threshold; If not, the voltage reduction operation continues; if satisfied, the voltage reduction operation is stopped, and the voltage changes and voltage reduction parameters of each sub-battery during the voltage reduction process are recorded to generate a voltage reduction report.

7. The method for managing the balancing of wireless communications of multiple battery packs according to claim 6, characterized in that: The step of performing reversibility analysis and evaluation on the influencing factors to obtain a reversible factor analysis report and an irreversible factor evaluation report, and generating a balanced regulation report based on the blood pressure reduction report, the reversible factor analysis report and the irreversible factor evaluation report comprises: Classify each of the influencing factors by using a decision tree algorithm to distinguish between reversible factors and irreversible factors; Analyzing the specific degree of influence of the reversible factors on battery performance by using sensitivity analysis, and generating a reversible factor analysis report; wherein the reversible factors include temperature and load changes; Applying fault tree analysis to evaluate the specific impact of the irreversible factors on battery performance and generating an irreversible factor evaluation report; wherein the irreversible factors include battery aging and damage; The blood pressure reduction report is combined with the reversible factor analysis report and the irreversible factor assessment report to form a balanced control plan. Based on the balanced control plan, adjustment measures for the reversible factors and maintenance suggestions for the irreversible factors are generated. A set of control measures is generated based on the adjustment measures and the maintenance suggestions. A balanced control report is compiled based on the set of control measures.

8. A balancing management system for wireless communication of multiple battery packs, wherein the multiple battery packs of the balancing management system for wireless communication of multiple battery packs include a plurality of sub-batteries, each of which is provided with a control module, and is characterized in that: The multi-battery wireless communication balancing management system further includes: A selection unit, used for selecting any sub-battery as a host battery, and using wireless communication technology to network the control module of the host battery with the control modules of all other sub-batteries to obtain a battery pack wireless local area network; A collection unit, configured to collect data collected by the control modules of all sub-batteries in real time using the control module of the host battery based on the battery pack wireless local area network, obtain the real-time data of all sub-batteries, classify the real-time data of all sub-batteries, and obtain a voltage set and an impact set; an analyzing unit, configured to perform a voltage difference analysis on the voltage set, and if the voltage difference between two batteries in the voltage set does not meet a preset voltage difference threshold, analyze the voltage set and the influence set to obtain the abnormal voltage and influence factors of the abnormal battery; A voltage reduction unit, configured to calculate a voltage difference value of the abnormal voltage, reduce the voltage of all batteries based on the voltage difference value until the voltage difference of all batteries meets a preset voltage difference threshold, and generate a voltage reduction report; A generating unit is used to perform reversibility analysis on the influencing factors to obtain a reversibility analysis report, generate a balancing control report based on the voltage reduction report and the reversibility analysis report, and send the balancing control report to a mobile terminal to achieve real-time monitoring and management of multiple battery packs.

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