Battery active balancing and remote monitoring integrated method and system

Abstract

The application relates to the technical field of remote monitoring, and discloses a kind of battery active equalization and remote monitoring integration method, comprising: analyzing and establishing the arrangement influence factor of battery monomer, establishing the monomer arrangement module of the battery monomer, calculating the voltage grade of monomer arrangement module, when voltage grade meets preset voltage grade standard, build battery monomer battery pack;And through the preset battery state dynamic analysis algorithm, analyze the operating state of battery pack;Analyze the potential equalization anomaly of battery pack, establish the equalization circuit of the battery pack, define the equalization adaptive algorithm of the battery pack;Analyze the equalization parameter of battery pack, send equalization parameter to monomer battery equalization node using encryption monitoring network corresponding task issuing module, get task equalization node, based on task equalization node, execute the adaptive equalization of battery pack.The application can improve the overall performance and reliability of battery pack.

Description

TECHNICAL FIELD

[0001] The application relates to a battery active balancing and remote monitoring integrated method and system, and belongs to the technical field of remote monitoring. BACKGROUND

[0002] The battery active balancing and remote monitoring refers to real-time adjustment of energy balance of battery monomers, remote access for monitoring health conditions of a battery pack, execution of fault diagnosis, optimization of maintenance plans, and improvement of reliability and efficiency of the whole battery system.

[0003] The battery active balancing and remote monitoring usually depend on simple balancing circuits and independent monitoring units, and the systems can only perform basic voltage balancing and state monitoring, and most of the systems need regular inspection and maintenance by on-site personnel, cannot accurately control the battery monomers, and are difficult to realize remote fault diagnosis and predictive maintenance, thereby affecting the overall performance and reliability of the battery pack. SUMMARY

[0004] The application provides a battery active balancing and remote monitoring integrated method and system, which mainly aims at improving the overall performance and reliability of the battery pack.

[0005] To achieve the above object, the application provides a battery active balancing and remote monitoring integrated method, which comprises the following steps.

[0006] The arrangement influencing factors of the battery monomers are analyzed, wherein the arrangement influencing factors comprise uniformity, accessibility and heat dissipation, the monomer arrangement module of the battery monomers is established based on the arrangement influencing factors, the voltage level of the monomer arrangement module is calculated, and when the voltage level meets the preset voltage level standard, the battery pack of the battery monomers is constructed through the monomer arrangement module.

[0007] The battery pack characteristics of the battery pack are analyzed, the key monitoring node, the center monitoring node and the monomer battery balancing node of the battery pack are marked based on the battery pack characteristics, and the encryption monitoring network of the key monitoring node, the center monitoring node and the monomer battery balancing node is established.

[0008] The battery operation data of the battery pack are collected by using the key monitoring node, the battery operation data are transmitted to the center monitoring node by using the corresponding data transmission module of the encryption monitoring network, and the operation state of the battery pack is analyzed by using a preset battery state dynamic analysis algorithm.

[0009] Based on the running state, analyze the potential balance abnormality of the battery pack, establish the balance circuit of the battery pack based on the single battery balance node, define the balance adaptive algorithm of the battery pack according to the balance circuit;

[0010] Based on the balance adaptive algorithm and the balance abnormality, analyze the balance parameters of the battery pack, send the balance parameters to the single battery balance node by using the encryption monitoring network corresponding task issuing module, obtain the task balance node, and execute the adaptive balance of the battery pack based on the task balance node.

[0011] Optionally, the single battery arrangement module of the battery monomer is established based on the arrangement influencing factor, including:

[0012] Based on the uniformity in the arrangement influencing factor, define the single battery interval of the battery monomer;

[0013] According to the single battery interval, determine the initial single battery arrangement module of the battery monomer;

[0014] Analyze the heat dissipation characteristics of the battery monomer;

[0015] Through the heat dissipation characteristics and the heat dissipation characteristics in the arrangement influencing factor, analyze the heat dissipation path of the initial single battery arrangement module;

[0016] According to the accessibility in the arrangement influencing factor, mark the control interface of the initial single battery arrangement module;

[0017] Combine the heat dissipation path, the control interface and the initial single battery arrangement module to establish the single battery arrangement module of the battery monomer.

[0018] Optionally, the analysis of the heat dissipation characteristics of the battery monomer includes:

[0019] Determine the battery current, battery internal resistance, thermal conductivity, cross-sectional area, emissivity, surface area, single battery surface temperature and single battery environment temperature of the battery monomer;

[0020] Based on the battery current and the battery internal resistance, calculate the heat generation rate of the battery monomer;

[0021] According to the thermal conductivity and the cross-sectional area, calculate the heat conduction of the battery monomer;

[0022] Through the emissivity, the surface area, the single battery surface temperature and the single battery environment temperature, the heat flux density of the battery monomer is calculated by using the following formula:

[0023]

[0024] wherein Q represents a heat flux density of the battery cell, μ represents an emissivity of the battery cell, σ represents a Stefan-Boltzmann constant of the battery cell, A represents a surface area of the battery cell, T surface represents a cell surface temperature of the battery cell, T ambient represents a cell ambient temperature of the battery cell;

[0025] determining a heat radiation of the battery cell according to the heat flux density;

[0026] determining a heat dissipation characteristic of the battery cell through the heat generation rate, the heat conduction, and the heat radiation.

[0027] Optionally, the analyzing the battery pack characteristics of the battery pack according to the analysis, comprises:

[0028] acquiring battery pack data of the battery pack;

[0029] dividing the battery pack data into battery pack electrical data, battery pack physical data, and battery pack performance data;

[0030] analyzing voltage distribution and charge-discharge curves of the battery pack according to the battery pack electrical data;

[0031] determining electrical characteristics of the battery pack based on the voltage distribution and the charge-discharge curves;

[0032] analyzing physical characteristics of the battery pack through the battery pack physical data;

[0033] determining battery pack capacity, cycle life, and energy efficiency of the battery pack based on the battery pack performance data;

[0034] analyzing performance characteristics of the battery pack according to the battery pack capacity, the cycle life, and the energy efficiency;

[0035] determining battery pack characteristics of the battery pack based on the electrical characteristics, the physical characteristics, and the performance characteristics.

[0036] Optionally, the establishing the encrypted monitoring network of the key monitoring node, the center monitoring node, and the cell balancing node, comprises:

[0037] defining encryption requirements of the key monitoring node, the center monitoring node, and the cell balancing node;

[0038] establishing encrypted communication links of the key monitoring node, the center monitoring node, and the cell balancing node;

[0039] Based on the encryption requirement, an encryption network architecture of the key monitoring node, the center monitoring node and the single battery equalization node is established;

[0040] Based on the encryption network architecture, an initial encryption monitoring network of the key monitoring node, the center monitoring node and the single battery equalization node is established;

[0041] The data transmission performance and network defense performance of the initial encryption monitoring network are analyzed;

[0042] When the data transmission performance and network defense performance meet preset data transmission threshold and network defense threshold at the same time, the initial encryption monitoring network is taken as the encryption monitoring network of the key monitoring node, the center monitoring node and the single battery equalization node.

[0043] Optionally, the operation state of the battery pack is analyzed by the preset battery state dynamic analysis algorithm, including:

[0044] The battery operation data of the battery pack is preprocessed to obtain preprocessed battery operation data;

[0045] The battery operation parameters in the preprocessed battery operation data are extracted;

[0046] Based on the battery operation parameters, the battery pack SOC estimation is calculated by the following formula:

[0047] SOC k = SOC k-1 + K k (V meas,k -V pred,k )

[0048] Wherein, SOC k represents the battery pack SOC estimation at k time, SOC k-1 represents the battery pack SOC estimation at k-1 time, K k represents Kalman gain, V meas，k represents the actual voltage measurement value of the battery operation parameters of the battery pack at k-1 time, V pred,k represents the voltage analysis value of the battery operation parameters of the battery pack at k-1 time;

[0049] Based on the initial capacity and the current capacity corresponding to the battery operation parameters, the health state of the battery pack is analyzed;

[0050] The temperature influence coefficient of the battery pack is analyzed by the battery operation parameters and the battery pack SOC estimation;

[0051] The battery state dynamic analysis algorithm is used to analyze the operation state of the battery pack in combination with the battery pack SOC estimation, the state of health, and the temperature influence coefficient.

[0052] Optionally, the temperature influence coefficient of the battery pack is analyzed by using the battery operation parameters and the battery pack SOC estimation, including:

[0053] The discharge rate constant, the charge rate constant, the temperature, and the current of the battery pack are determined based on the battery operation parameters.

[0054] The temperature influence coefficient of the battery pack is calculated by using the following formula based on the discharge rate constant, the charge rate constant, the current, the temperature, and the battery pack SOC estimation:

[0055]

[0056] wherein, represents the temperature influence coefficient of the battery pack, α(T) represents the discharge rate constant of the battery pack, T represents the temperature, SOC represents the battery pack SOC estimation, θ(T) represents the charge rate constant, and I represents the current.

[0057] The discharge rate constant refers to the change of the battery discharge rate at different temperatures, the charge rate constant refers to the change of the battery charge rate at different temperatures, the current refers to the current value passing through the battery pack, and the temperature refers to the working temperature of the battery pack.

[0058] Optionally, the potential balance abnormality of the battery pack is analyzed based on the operation state, including:

[0059] The historical balance data of the battery pack is obtained.

[0060] The battery balance analysis model of the battery pack is constructed according to the historical balance data.

[0061] The state balance characteristics of the battery pack are analyzed based on the operation state.

[0062] The analysis balance abnormality of the battery pack is analyzed by using the battery balance analysis model through the state balance characteristics.

[0063] The abnormal coefficient of the analysis balance abnormality is marked.

[0064] When the abnormal coefficient meets the preset abnormal threshold, the analysis balance abnormality is taken as the potential balance abnormality of the battery pack.

[0065] Optionally, the balance circuit of the battery pack is established based on the single battery balance node, including:

[0066] determining an equalization type of the battery pack;

[0067] defining an equalization component of the battery pack according to the equalization type;

[0068] establishing an equalization circuit diagram of the battery pack based on the equalization component and the cell equalization node;

[0069] calculating connectivity of the equalization circuit diagram;

[0070] establishing an equalization circuit of the battery pack according to the equalization circuit diagram when the connectivity meets preset connectivity criteria.

[0071] To solve the above problems, the application further provides a battery active equalization and remote monitoring integrated system, which comprises:

[0072] a battery pack construction module, configured to analyze arrangement influencing factors of the established battery cells, wherein the arrangement influencing factors comprise uniformity, accessibility and heat dissipation, to establish a cell arrangement module of the battery cells based on the arrangement influencing factors, to calculate a voltage level of the cell arrangement module, and to construct a battery pack of the battery cells through the cell arrangement module when the voltage level meets preset voltage level criteria;

[0073] an encrypted monitoring network construction module, configured to analyze battery pack features of the battery pack, to mark key monitoring nodes, central monitoring nodes and cell equalization nodes of the battery pack based on the battery pack features, and to establish an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the cell equalization nodes;

[0074] a running state analysis module, configured to collect battery running data of the battery pack by using the key monitoring nodes, to transmit the battery running data to the central monitoring nodes by using a corresponding data transmission module of the encrypted monitoring network, and to analyze a running state of the battery pack by a preset battery state dynamic analysis algorithm;

[0075] an equalization circuit construction module, configured to analyze potential equalization abnormalities of the battery pack based on the running state, to establish an equalization circuit of the battery pack based on the cell equalization nodes, and to define an equalization adaptive algorithm of the battery pack according to the equalization circuit;

[0076] The battery pack equalization module is used for analyzing equalization parameters of the battery pack based on the equalization adaptive algorithm and the equalization exception, sending the equalization parameters to the single battery equalization node by using the encrypted monitoring network corresponding task issuing module, obtaining a task equalization node, and executing adaptive equalization of the battery pack based on the task equalization node.

[0077] To solve the above problems, the application further provides an electronic device, which comprises:

[0078] at least one processor; and,

[0079] a memory in communication connection with the at least one processor; wherein,

[0080] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned battery active equalization and remote monitoring integrated method.

[0081] To solve the above problems, the application further provides a computer readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned battery active equalization and remote monitoring integrated method.

[0082] Compared with the problems described in the background art, the present application is based on the arrangement influencing factor to establish a battery monomer arrangement module, which can establish an efficient, uniform, easy-to-maintain and good heat dissipation battery monomer arrangement module, providing a solid foundation for active balancing and remote monitoring of the battery pack; the voltage level of the monomer arrangement module calculated by the present application can ensure that it meets the design requirements. The voltage level generally refers to the standard voltage value used in the electrical system; further, the battery pack characteristics analyzed by the present application can comprehensively analyze the characteristics of the battery pack, providing a basis for the later optimization and analysis of the battery pack, further, the present application can effectively mark and set the key monitoring nodes, central monitoring nodes and monomer battery balancing nodes of the battery pack by marking the key monitoring nodes, central monitoring nodes and monomer battery balancing nodes of the battery pack, thereby realizing accurate monitoring and balancing management of the battery pack, further, the present application can more accurately evaluate the real-time state of the battery by analyzing the running state of the battery pack through the preset battery state dynamic analysis algorithm, thereby providing decision support for the battery management system, further, the present application can effectively utilize the battery balancing analysis model to identify and analyze the potential balancing abnormalities of the battery pack based on the running state, thereby ensuring the performance of the battery pack and prolonging its service life, then, the present application can establish and implement the balancing circuit of the battery pack based on the monomer battery balancing nodes, ensuring the balancing of the battery pack during operation, finally, the present application sends the balancing parameters to the monomer battery balancing nodes by using the encrypted monitoring network corresponding task issuing module to obtain the task balancing nodes, and performs adaptive balancing of the battery pack based on the task balancing nodes, which can more efficiently and intelligently maintain the balancing state of the battery pack, prolong the battery life and improve the performance of the battery pack. Therefore, the present application can improve the overall performance and reliability of the battery pack. BRIEF DESCRIPTION OF DRAWINGS

[0083] Figure 1 The flowchart of the active balancing and remote monitoring integrated method of the battery provided by an embodiment of the present application is shown in the figure;

[0084] Figure 2 The functional module diagram of the active balancing and remote monitoring integrated system of the battery provided by an embodiment of the present application is shown in the figure;

[0085] Figure 3 The structural diagram of the electronic device of the active balancing and remote monitoring integrated system of the battery provided by an embodiment of the present application is shown in the figure;

[0086] The purpose realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0087] It should be understood that the specific embodiments described herein are merely exemplary and do not limit the application.

[0088] The application provides a battery active balancing and remote monitoring integrated method. The execution subject of the battery active balancing and remote monitoring integrated method includes but is not limited to at least one of the electronic devices such as a server and a terminal which can be configured to execute the method provided by the application. In other words, the battery active balancing and remote monitoring integrated method can be executed by the software or hardware installed in the terminal device or the server device. The server includes but is not limited to a single server, a server cluster, a cloud server or a cloud server cluster.

[0089] Embodiment 1

[0090] Referring to Figure 1 FIG. 1 shows a flowchart of the battery active balancing and remote monitoring integrated method provided by an embodiment of the application. In the embodiment, the battery active balancing and remote monitoring integrated method includes the following steps.

[0091] S1, analyzing the arrangement influencing factor of the battery monomer, wherein the arrangement influencing factor includes uniformity, accessibility and heat dissipation, establishing a monomer arrangement module of the battery monomer based on the arrangement influencing factor, calculating the voltage level of the monomer arrangement module, and constructing a battery pack of the battery monomer through the monomer arrangement module when the voltage level meets the preset voltage level standard.

[0092] It should be explained that the uniformity refers to the consistency of the spacing and connection between each monomer when the battery monomers are arranged, the accessibility refers to the degree of maintenance and monitoring of the arrangement of the battery monomers, and the heat dissipation refers to the heat dissipation of the battery monomer group after arrangement.

[0093] The application establishes a monomer arrangement module of the battery monomer based on the arrangement influencing factor, which can establish an efficient, uniform, easy-to-maintain and well-ventilated battery monomer arrangement module, and provides a solid foundation for the active balancing and remote monitoring of the battery pack.

[0094] In detail, the step of establishing the monomer arrangement module of the battery monomer based on the arrangement influencing factor includes the following steps.

[0095] Defining the monomer spacing of the battery monomer based on the uniformity in the arrangement influencing factor;

[0096] Determining the initial monomer arrangement module of the battery monomer according to the monomer spacing;

[0097] analyze heat dissipation characteristics of the battery cell;

[0098] analyze heat dissipation paths of the initial cell arrangement module by the heat dissipation and the heat dissipation characteristics in the arrangement influencing factors;

[0099] label control interfaces of the initial cell arrangement module according to the accessibility in the arrangement influencing factors;

[0100] establish a cell arrangement module of the battery cell in combination with the heat dissipation paths, the control interfaces and the initial cell arrangement module.

[0101] The cell interval refers to a spatial distance between two adjacent cell batteries in a battery pack, the initial cell arrangement module refers to an arrangement mode of the battery cell preliminarily determined according to the cell interval, the heat dissipation characteristics refer to characteristics of heat generated by the battery cell in the running process, including heat generation rate, heat conductivity and heat radiation rate, the heat dissipation path refers to a process and a way of heat transfer from the battery cell to the external environment, the control interface refers to an electrical connection point for monitoring and controlling the battery cell, including a sensor interface, an equalization circuit interface and the like, and the cell arrangement module refers to an arrangement mode of the battery cell after detailed design and optimization for actual application, which considers uniformity, heat dissipation and accessibility.

[0102] Further, the analysis of the heat dissipation characteristics of the battery cell includes:

[0103] determining a battery current, a battery internal resistance, a thermal conductivity, a cross-sectional area, an emissivity, a surface area, a cell surface temperature and a cell ambient temperature of the battery cell;

[0104] calculating a heat generation rate of the battery cell based on the battery current and the battery internal resistance;

[0105] calculating a heat conduction of the battery cell according to the thermal conductivity and the cross-sectional area;

[0106] calculating a heat flow density of the battery cell by the emissivity, the surface area, the cell surface temperature and the cell ambient temperature by using the following formula:

[0107]

[0108] wherein Q represents the heat flow density of the battery cell, μ represents the emissivity of the battery cell, σ represents the Stefan-Boltzmann constant of the battery cell, A represents the surface area of the battery cell, T surface represents the cell surface temperature of the battery cell, and T ambient represents the cell ambient temperature of the battery cell.

[0109] determining heat radiation of the battery cell according to the heat flow density;

[0110] determining heat dissipation characteristics of the battery cell through the heat generation rate, the heat conduction, and the heat radiation.

[0111] wherein the battery current refers to the current flowing through the battery cell, the battery internal resistance refers to the internal resistance of the battery cell to the current flow, the thermal conductivity refers to the heat conduction per unit thickness per unit temperature difference per unit time, the cross-sectional area refers to the cross-sectional area of the heat conduction path, the emissivity refers to the ability of the object surface to emit thermal radiation, the surface area refers to the surface area of the battery cell exposed to the environment, the cell surface temperature refers to the temperature of the battery cell surface, the cell ambient temperature refers to the temperature of the environment around the battery cell, the heat generation rate refers to the heat generated by the battery cell per unit time due to the electrochemical reaction, the heat conduction refers to the heat transferred through the material, the heat flow density refers to the heat radiation flow per unit area, the Stefan-Boltzmann constant refers to a physical constant in the calculation of thermal radiation, and the heat radiation refers to the heat emitted by the battery cell in the form of electromagnetic waves.

[0112] The voltage level of the cell arrangement module calculated by the application can ensure that it meets the design requirements. The voltage level generally refers to the standard voltage value used in the electrical system.

[0113] When the voltage level meets the preset voltage level standard, the battery pack of the battery cell is constructed through the cell arrangement module to ensure the performance and safety of the battery pack. The voltage level standard refers to the voltage range in which the electrical equipment or system can safely and effectively work, and the battery pack refers to a battery pack composed of multiple battery cells (also known as battery units).

[0114] S2, analyzing the battery pack characteristics of the battery pack, based on the battery pack characteristics, marking the key monitoring nodes, the central monitoring nodes, and the cell battery equalization nodes of the battery pack, and establishing an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes, and the cell battery equalization nodes.

[0115] The analysis of the battery pack characteristics of the battery pack by the application can comprehensively analyze the characteristics of the battery pack, providing a basis for the later optimization and analysis of the battery pack.

[0116] In detail, the analysis of the battery pack characteristics of the battery pack includes:

[0117] obtaining the battery pack data of the battery pack;

[0118] dividing the battery data into battery electrical data, battery physical data, and battery performance data;

[0119] analyzing voltage distribution and charge-discharge curves of the battery pack according to the battery electrical data;

[0120] determining electrical characteristics of the battery pack based on the voltage distribution and charge-discharge curves;

[0121] analyzing physical characteristics of the battery pack through the battery physical data;

[0122] determining battery capacity, cycle life, and energy efficiency of the battery pack based on the battery performance data;

[0123] analyzing performance characteristics of the battery pack according to the battery capacity, the cycle life, and the energy efficiency;

[0124] determining battery features of the battery pack based on the electrical characteristics, the physical characteristics, and the performance characteristics.

[0125] The battery data refers to a collection of all measurement and performance information related to the battery pack, including electrical, physical, and performance data. The battery electrical data refers to data related to the electrical performance of the battery pack, including voltage, current, internal resistance, etc. The battery physical data refers to data related to the physical size and shape of the battery pack, including weight, volume, heat dissipation characteristics, etc. The battery performance data refers to data related to the performance of the battery pack, including capacity, cycle life, energy efficiency, etc. The voltage distribution refers to the distribution of voltage values of individual cells in the battery pack. The charge-discharge curve refers to the curve of voltage and current over time during the charge-discharge process of the battery pack. The electrical characteristics refer to the performance of the battery pack in the electrical aspect, including voltage stability, internal resistance change, charge-discharge efficiency, etc. The physical characteristics refer to the physical properties of the battery pack, such as size, weight, heat dissipation capacity, etc. The battery capacity refers to the total amount of electricity that the battery pack can store. The cycle life refers to the number of charge-discharge cycles that the battery pack can undergo before reaching a certain performance decline standard. The energy efficiency refers to the efficiency of energy conversion during the charge-discharge process of the battery pack. The performance characteristics refer to the overall performance of the battery pack in operation, including capacity, life, efficiency, etc. The battery features refer to the comprehensive evaluation based on electrical characteristics, physical characteristics, and performance characteristics.

[0126] Optionally, determining the electrical characteristics of the battery pack based on the voltage distribution and charge-discharge curves can be realized using MATLAB software.

[0127] The application can effectively mark and set the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes of the battery pack by marking the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes, so as to realize accurate monitoring and equalization management of the battery pack. The key monitoring nodes refer to points for monitoring key performance parameters of the battery pack, the central monitoring nodes are the core of the battery pack monitoring system and are responsible for collecting, processing and transmitting all monitoring data, and the single battery equalization nodes refer to points for adjusting voltage differences between battery monomers.

[0128] The application can establish a secure encryption monitoring network by establishing the encryption monitoring network of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes, so as to protect the monitoring data of the battery pack from unauthorized access and tampering.

[0129] In detail, the encryption monitoring network of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes comprises:

[0130] Defining encryption requirements of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes;

[0131] Establishing an encryption communication link of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes;

[0132] Based on the encryption requirements, establishing an encryption network architecture of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes;

[0133] Based on the encryption network architecture, establishing an initial encryption monitoring network of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes;

[0134] Analyzing data transmission performance and network defense performance of the initial encryption monitoring network;

[0135] When the data transmission performance and the network defense performance simultaneously meet preset data transmission threshold and network defense threshold, the initial encryption monitoring network is taken as the encryption monitoring network of the key monitoring nodes, the central monitoring nodes and the single battery equalization nodes.

[0136] The encryption requirement refers to an encryption standard that must be met by the key monitoring node, the center monitoring node and the single battery equalization node in communication and data storage in order to ensure data security and privacy, the encrypted communication link refers to a communication path established by using encryption technology in the network in order to protect data from eavesdropping or tampering during transmission, the encrypted network architecture refers to the structure design of the entire network system, which includes all encryption components, protocols and strategies, the data transmission performance refers to the speed, stability and reliability of the encrypted monitoring network during data transmission, the network defense performance refers to the ability of the encrypted monitoring network to resist external attacks and internal threats, and the encrypted monitoring network refers to a monitoring system integrating encryption technology and security protocols.

[0137] Optionally, the establishment of the encrypted communication link of the key monitoring node, the center monitoring node and the single battery equalization node can be realized by using VPN (virtual private network) or encrypted tunnel.

[0138] S3, collecting battery operation data of the battery pack by using the key monitoring node, transmitting the battery operation data to the center monitoring node by using a corresponding data transmission module of the encrypted monitoring network, and analyzing the operation state of the battery pack by using a preset battery state dynamic analysis algorithm.

[0139] It should be explained that the data transmission module refers to a functional unit responsible for collecting, packaging, encrypting, sending, receiving and decrypting battery operation data in the encrypted monitoring network, and the battery operation data refers to various parameters and indicators collected from each key monitoring node of the battery pack for evaluating the battery state and performance.

[0140] The application can more accurately evaluate the real-time state of the battery by analyzing the operation state of the battery pack by using the preset battery state dynamic analysis algorithm, thereby providing decision support for the battery management system.

[0141] In detail, the analysis of the operation state of the battery pack by using the preset battery state dynamic analysis algorithm comprises:

[0142] Pretreating the battery operation data corresponding to the battery pack to obtain pretreated battery operation data;

[0143] Extracting battery operation parameters in the pretreated battery operation data;

[0144] Based on the battery operation parameters, the battery pack SOC estimation of the battery pack is calculated by using the following formula:

[0145] SOC k = SOC k-1 + K k (Vmeas,k -V pred,k )

[0146] wherein SOC k represents the battery SOC estimation of the battery pack at time k, SOC k-1 represents the battery SOC estimation of the battery pack at time k-1, K k represents the Kalman gain, V meas，k represents the actual voltage measurement value of the battery operating parameter of the battery pack at time k-1, V pred,k represents the voltage analysis value of the battery operating parameter of the battery pack at time k-1;

[0147] based on the initial capacity and the current capacity corresponding to the battery operating parameter, analyzing the health status of the battery pack;

[0148] based on the battery operating parameter and the battery SOC estimation, analyzing the temperature influence coefficient of the battery pack;

[0149] combining the battery SOC estimation, the health status, and the temperature influence coefficient, using the battery state dynamic analysis algorithm to analyze the operating state of the battery pack.

[0150] wherein the pre-processed battery operating data refers to a more accurate and more suitable data set for further analysis obtained by cleaning, normalizing, filtering, etc. on the original battery operating data, the battery operating parameter refers to the key performance indicators extracted from the pre-processed battery operating data, including but not limited to voltage, current, temperature data, the battery SOC estimation refers to the estimated value of the remaining capacity of the battery pack calculated by the algorithm, the Kalman gain refers to a coefficient used to weigh the difference between the predicted value and the observed value in the Kalman filtering algorithm, the actual voltage measurement value refers to the battery voltage value directly measured by the sensor or monitoring device of the battery pack, the voltage analysis value refers to the battery voltage value predicted based on the battery model and algorithm, the initial capacity refers to the nominal capacity of the battery pack in the brand-new state, the current capacity refers to the actual capacity that the battery pack can provide in the current state, the health status refers to the actual performance indicators of the battery relative to its initial state, the temperature influence coefficient refers to the degree of change of the battery performance (such as capacity, power, internal resistance, etc.) with temperature, the battery state dynamic analysis algorithm refers to the mathematical model and calculation method for real-time monitoring and evaluation of the battery state, and the operating state refers to the comprehensive performance of the battery pack at a specific time point, including SOC, SOH, temperature distribution, etc. parameters, which reflects whether the battery pack is in normal working state.

[0151] Further, the temperature influence coefficient of the battery pack is analyzed based on the battery operating parameter and the battery pack SOC estimation, including:

[0152] Based on the battery operating parameter, the discharge rate constant, the charge rate constant, the temperature and the current of the battery pack are determined;

[0153] According to the discharge rate constant, the charge rate constant, the current, the temperature and the battery pack SOC estimation, the temperature influence coefficient of the battery pack is calculated by the following formula:

[0154]

[0155] Wherein, The temperature influence coefficient of the battery pack is represented by α(T), the discharge rate constant of the battery pack is represented by T, the temperature is represented by SOC, the battery pack SOC estimation is represented by θ(T), the charge rate constant is represented by I, and the current is represented by SOC.

[0156] Wherein, the discharge rate constant refers to the change of the battery discharge rate at different temperatures, the charge rate constant refers to the change of the battery charge rate at different temperatures, the current refers to the current value through the battery pack, and the temperature refers to the working temperature of the battery pack.

[0157] Optionally, the operating state of the battery pack is analyzed by the battery state dynamic analysis algorithm in combination with the battery pack SOC estimation, the health state and the temperature influence coefficient, wherein the operating state of the battery pack is dynamically evaluated by the battery state dynamic analysis algorithm by dynamically evaluating different index state influence weights and performing weighted calculation, and the index state influence weight refers to the influence degree of the battery pack SOC estimation, the health state and the temperature influence coefficient on the battery operating state.

[0158] S4, based on the operating state, analyze the potential balance abnormality of the battery pack, based on the single battery balancing node, establish the balancing circuit of the battery pack, and define the balancing adaptive algorithm of the battery pack according to the balancing circuit.

[0159] The application can effectively utilize the battery balancing analysis model to identify and analyze the potential balancing abnormality of the battery pack based on the operating state, so as to guarantee the performance of the battery pack and prolong its service life.

[0160] In detail, the potential balancing abnormality of the battery pack is analyzed based on the operating state, including:

[0161] The historical balancing data of the battery pack is obtained;

[0162] constructing a battery equalization analysis model of the battery pack according to the historical equalization data;

[0163] analyzing state equalization characteristics of the battery pack based on the running state;

[0164] analyzing an analysis equalization abnormality of the battery pack by using the battery equalization analysis model through the state equalization characteristics;

[0165] labeling an abnormality coefficient of the analysis equalization abnormality;

[0166] when the abnormality coefficient meets a preset abnormality threshold, regarding the analysis equalization abnormality as a potential equalization abnormality of the battery pack.

[0167] The historical equalization data refers to recorded data of the battery pack in an equalization process in the past period of time, including voltage, current, temperature, SOC change, equalization operation times and time of single batteries, the battery equalization analysis model refers to a mathematical model or a machine learning model constructed based on historical equalization data and battery pack characteristics, the state equalization characteristics refer to features related to equalization performance extracted from the running state of the battery pack, such as single battery voltage difference, SOC difference, temperature difference and the like, the analysis equalization abnormality refers to an equalization problem that may exist in the battery pack identified by the battery equalization analysis model, such as overcharging, overdischarging or uneven charging of single batteries, the abnormality coefficient refers to a coefficient for indicating the severity or occurrence probability of the analysis equalization abnormality, the abnormality threshold refers to a standard for judging whether the abnormality coefficient is high enough, and the potential equalization abnormality refers to an equalization problem that is considered to possibly have a negative impact on the performance and service life of the battery pack after analysis and verification.

[0168] Optionally, the battery equalization analysis model of the battery pack can be constructed by training a support vector machine equalization analysis model architecture based on historical equalization data.

[0169] The application establishes the equalization circuit of the battery pack based on the single battery equalization node, and can establish and implement the equalization circuit of the battery pack, and ensure the equalization of the battery pack during operation.

[0170] In detail, the equalization circuit of the battery pack is established based on the single battery equalization node, and includes:

[0171] determining the equalization type of the battery pack;

[0172] defining the equalization component of the battery pack according to the equalization type;

[0173] establishing an equalization circuit diagram of the battery pack based on the equalization component and the single battery equalization node.

[0174] calculating the connectivity of the equalization circuit diagram;

[0175] establishing the equalization circuit of the battery pack according to the equalization circuit diagram when the connectivity meets the preset connectivity standard.

[0176] Wherein, the equalization type refers to the method for maintaining the voltage balance of the single battery in the battery pack, including passive equalization, active equalization and hybrid equalization, the equalization component refers to the hardware part constituting the equalization circuit, including but not limited to resistor, power transistor, capacitor and inductor, and current sensor and voltage sensor, the equalization circuit diagram refers to the electrical diagram showing the connection mode and circuit layout between the equalization components, the connectivity refers to whether the components in the equalization circuit diagram can be correctly connected and communicated according to the design intention, the connectivity standard refers to the parameter for evaluating whether the connectivity of the equalization circuit diagram meets the design requirement, and the equalization circuit refers to the actual built circuit.

[0177] Optionally, the equalization circuit diagram of the battery pack can be drawn by circuit design software (such as Eagle, Altium Designer, OrCAD, Multisim, etc.) based on the equalization component and the single battery equalization node.

[0178] The equalization adaptive algorithm of the battery pack defined according to the equalization circuit can more intelligently maintain the health state of the battery pack, reduce the maintenance cost, and improve the reliability and service life of the battery pack. Wherein, the equalization adaptive algorithm refers to the algorithm for automatically adjusting the equalization strategy according to the real-time state and external conditions of the battery pack. In detail, the equalization adaptive algorithm is constructed by setting internal equalization threshold and external equalization threshold.

[0179] S5, based on the equalization adaptive algorithm and the equalization abnormality, analyzing the equalization parameters of the battery pack, sending the equalization parameters to the single battery equalization node by using the corresponding task issuing module of the encryption monitoring network to obtain the task equalization node, and executing the adaptive equalization of the battery pack based on the task equalization node.

[0180] The equalization parameters of the battery pack can be effectively managed based on the equalization adaptive algorithm and the equalization abnormality, so as to improve the overall performance and reliability of the battery pack. Wherein, the equalization parameters refer to a series of parameters for controlling and optimizing the performance of the equalization circuit of the battery pack, such as equalization current size, equalization threshold, equalization time, equalization frequency and the like.

[0181] Finally, the application uses the encryption monitoring network corresponding task issuing module to send the equalization parameters to the single battery equalization node to obtain a task equalization node. Based on the task equalization node, adaptive equalization of the battery pack can be more efficient and intelligent to maintain the equalization state of the battery pack, prolong the battery life, and improve the performance of the battery pack.

[0182] The task issuing module is a module responsible for sending control commands or parameters from the central monitoring node or the key monitoring node to each single battery equalization node. The task equalization node is a single battery equalization node that receives equalization parameters sent by the task issuing module.

[0183] Compared with the problems in the background art, the application establishes a single battery arrangement module based on the arrangement influence factor, which can establish an efficient, uniform, easy-to-maintain, and good heat dissipation battery monomer arrangement module, providing a solid foundation for active equalization and remote monitoring of the battery pack. The application calculates the voltage level of the single battery arrangement module to ensure that it meets the design requirements. The voltage level usually refers to the standard voltage value used in electrical systems. Further, the application analyzes the battery pack characteristics of the battery pack to comprehensively analyze the characteristics of the battery pack, providing a basis for the later optimization and analysis of the battery pack. Further, the application marks the key monitoring node, the central monitoring node, and the single battery equalization node of the battery pack to effectively mark and set the key monitoring node, the central monitoring node, and the single battery equalization node of the battery pack, thereby achieving accurate monitoring and equalization management of the battery pack. Further, the application analyzes the running state of the battery pack through a pre-set battery state dynamic analysis algorithm to more accurately evaluate the real-time state of the battery, thereby providing decision support for the battery management system. Further, the application uses a trained battery equalization analysis model to analyze potential equalization abnormalities of the battery pack based on the running state to effectively use the battery equalization analysis model to identify and analyze potential equalization abnormalities of the battery pack, thereby ensuring the performance of the battery pack and prolonging its service life. Then, the application establishes an equalization circuit of the battery pack based on the single battery equalization node to establish and implement the equalization circuit of the battery pack, ensuring the equalization of the battery pack during operation. Finally, the application uses the encryption monitoring network corresponding task issuing module to send the equalization parameters to the single battery equalization node to obtain a task equalization node. Based on the task equalization node, adaptive equalization of the battery pack can be more efficient and intelligent to maintain the equalization state of the battery pack, prolong the battery life, and improve the performance of the battery pack. Therefore, the application can improve the overall performance and reliability of the battery pack.

[0184] Example 2:

[0185] AsFigure 2 Figure 1 is a functional module diagram of a battery active equalization and remote monitoring integrated system according to an embodiment of the present application.

[0186] The battery active equalization and remote monitoring integrated system 200 according to the present application can be installed in an electronic device. According to the functions implemented, the battery active equalization and remote monitoring integrated system 200 can include a battery pack construction module 201, an encrypted monitoring network construction module 202, an operating state analysis module 203, an equalization circuit construction module 204, and a battery pack equalization module 205. The modules according to the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, which are stored in the memory of the electronic device.

[0187] In the present embodiment, the functions of the modules / units are as follows:

[0188] The battery pack construction module 201 is configured to analyze arrangement influencing factors of the established battery monomers, wherein the arrangement influencing factors include uniformity, accessibility, and heat dissipation. Based on the arrangement influencing factors, a monomer arrangement module of the battery monomers is established, the voltage level of the monomer arrangement module is calculated, and when the voltage level meets a preset voltage level standard, the battery monomers are constructed into a battery pack through the monomer arrangement module.

[0189] The encrypted monitoring network construction module 202 is configured to analyze battery pack characteristics of the battery pack, based on the battery pack characteristics, mark key monitoring nodes, central monitoring nodes, and monomer battery equalization nodes of the battery pack, and establish an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes, and the monomer battery equalization nodes.

[0190] The operating state analysis module 203 is configured to collect battery operating data of the battery pack by using the key monitoring nodes, transmit the battery operating data to the central monitoring nodes by using a corresponding data transmission module of the encrypted monitoring network, and analyze the operating state of the battery pack by a preset battery state dynamic analysis algorithm.

[0191] The equalization circuit construction module 204 is configured to analyze potential equalization abnormalities of the battery pack based on the operating state, establish an equalization circuit of the battery pack based on the monomer battery equalization nodes, and define an equalization adaptive algorithm of the battery pack according to the equalization circuit.

[0192] The battery pack equalization module 205 is configured to analyze equalization parameters of the battery pack based on the equalization adaptive algorithm and the equalization exception, send the equalization parameters to the single battery equalization node by using the encrypted monitoring network corresponding task issuing module, obtain a task equalization node, and perform adaptive equalization of the battery pack based on the task equalization node.

[0193] In detail, the modules in the battery active equalization and remote monitoring integrated system 200 in the embodiments of the present application adopt the same technical means as the battery active equalization and remote monitoring integrated method in the accompanying drawings when in use, and can produce the same technical effects, which will not be described here again.

[0194] An embodiment of the present application provides an electronic device for implementing the battery active equalization and remote monitoring integrated method.

[0195] Referring to Figure 3 As shown in the accompanying drawings, the electronic device can include a processor 30, a memory 31, a communication bus 32, and a communication interface 33, and can further include a computer program stored in the memory 31 and executable on the processor 30, such as a battery active equalization and remote monitoring integrated method program.

[0196] In some embodiments, the processor can be composed of integrated circuits, for example, can be composed of a single packaged integrated circuit, or can be composed of multiple packaged integrated circuits with the same function or different functions, including one or more combinations of central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor is the control core (Control Unit) of the electronic device, which connects all components of the electronic device by using various interfaces and lines, executes or runs programs or modules stored in the memory (such as executing a battery active equalization and remote monitoring integrated program), and calls data stored in the memory, to perform various functions of the electronic device and process data.

[0197] The memory includes at least one type of readable storage medium, such as a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory can be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory can also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory can include both an internal storage unit and an external storage device of the electronic device. The memory can be used to store not only application software and various data installed in the electronic device, such as codes of an integrated program for active equalization and remote monitoring of a battery, but also to temporarily store data that has been output or will be output.

[0198] The communication bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to enable connection and communication between the memory and at least one processor, etc.

[0199] The communication interface is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface can include a wired interface and / or a wireless interface (e.g., a WI-FI interface, a Bluetooth interface, etc.), which is usually used to establish a communication connection between the electronic device and other electronic devices. The user interface can be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface can also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display can be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch, etc. The display can also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visualized user interface.

[0200] For example, although not shown, the electronic device can also include a power source (such as a battery) to power the various components, and preferably the power source can be connected to the at least one processor logic through a power management system to enable functions such as charge management, discharge management, and power consumption management through the power management system. The power source can also include one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device can also include various sensors, Bluetooth modules, Wi-Fi modules, and the like, which will not be described here.

[0201] It should be understood that the embodiments are only for illustration and are not limited in the scope of the patent application by the structure.

[0202] The battery active balancing and remote monitoring integrated program stored in the memory of the electronic device is a combination of multiple instructions, which, when running in the processor, can achieve:

[0203] Analyzing the arrangement influencing factor of the battery monomer, wherein the arrangement influencing factor includes uniformity, accessibility, and heat dissipation, based on the arrangement influencing factor, establishing a monomer arrangement module of the battery monomer, calculating the voltage level of the monomer arrangement module, and when the voltage level meets the preset voltage level standard, constructing a battery pack of the battery monomer through the monomer arrangement module;

[0204] Analyzing the battery pack characteristics of the battery pack, based on the battery pack characteristics, marking the key monitoring node, the central monitoring node, and the monomer battery balancing node of the battery pack, and establishing an encrypted monitoring network of the key monitoring node, the central monitoring node, and the monomer battery balancing node;

[0205] Collecting battery operation data of the battery pack using the key monitoring node, transmitting the battery operation data to the central monitoring node using the corresponding data transmission module of the encrypted monitoring network, and analyzing the operation state of the battery pack through a preset battery state dynamic analysis algorithm;

[0206] Based on the operation state, analyzing the potential balancing abnormality of the battery pack, based on the monomer battery balancing node, establishing a balancing circuit of the battery pack, and defining a balancing adaptive algorithm of the battery pack according to the balancing circuit;

[0207] Based on the balancing adaptive algorithm and the balancing abnormality, analyzing the balancing parameters of the battery pack, sending the balancing parameters to the monomer battery balancing node using the corresponding task issuing module of the encrypted monitoring network to obtain a task balancing node, and executing adaptive balancing of the battery pack based on the task balancing node.

[0208] Specifically, the specific implementation method of the processor to the above instructions can refer to the description of the related steps in the corresponding embodiment of the drawings, which is not described here.

[0209] Further, the modules / units integrated in the electronic device, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. The computer readable storage medium can be volatile or non-volatile. For example, the computer readable medium can include any entity or system capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM).

[0210] The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the following when executed by a processor of an electronic device:

[0211] An arrangement influencing factor of the battery monomer is analyzed, wherein the arrangement influencing factor includes uniformity, accessibility and heat dissipation, a monomer arrangement module of the battery monomer is established based on the arrangement influencing factor, a voltage level of the monomer arrangement module is calculated, and when the voltage level meets a preset voltage level standard, a battery pack of the battery monomer is constructed through the monomer arrangement module;

[0212] Battery pack characteristics of the battery pack are analyzed, key monitoring nodes, central monitoring nodes and monomer battery equalization nodes of the battery pack are marked based on the battery pack characteristics, and an encryption monitoring network of the key monitoring nodes, the central monitoring nodes and the monomer battery equalization nodes is established;

[0213] Battery operation data of the battery pack are collected by using the key monitoring nodes, the battery operation data are transmitted to the central monitoring nodes by using a corresponding data transmission module of the encryption monitoring network, and an operation state of the battery pack is analyzed by using a preset battery state dynamic analysis algorithm;

[0214] Based on the operation state, potential equalization abnormalities of the battery pack are analyzed, an equalization circuit of the battery pack is established based on the monomer battery equalization nodes, and an equalization adaptive algorithm of the battery pack is defined according to the equalization circuit;

[0215] Based on the equalization adaptive algorithm and the equalization exception, an equalization parameter of the battery pack is analyzed, the equalization parameter is sent to the single battery equalization node by using a corresponding task issuing module of the encryption monitoring network, a task equalization node is obtained, and adaptive equalization of the battery pack is performed based on the task equalization node.

[0216] In several embodiments provided by the present application, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the above-described system embodiments are merely illustrative. For example, the division of the modules is merely a logical function division, and actual implementation can have another division manner.

[0217] The modules described as separate components can or can not be physically separate, and the components shown as modules can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs.

[0218] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0219] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0220] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any additional reference signs in the claims should not be considered as limiting the claims involved.

[0221] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. Artificial intelligence (AI) is the use of digital computers or computer-controlled machines to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0222] Furthermore, the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural and vice-versa, unless the context clearly requires these exclusions. The conjunction "or" is used to link items in a list or a set of alternatives, and is not used to express an exclusive "or" unless explicitly stated. The phrase "consisting of" is used to specify that the listed steps, elements or components are required for the system or method. The phrase "consisting essentially of" is used to specify that the listed steps, elements or components are required for the system or method, but that other steps, elements or components can be added.

Claims

1. A method for integrating active battery balancing and remote monitoring, characterized in that, The method includes: The arrangement of individual battery cells is analyzed, including factors such as uniformity, accessibility, and heat dissipation. Based on these factors, a cell arrangement module is established, and the voltage level of the cell arrangement module is calculated. When the voltage level meets a preset voltage level standard, a battery pack of individual battery cells is constructed using the cell arrangement module. Analyze the battery characteristics of the battery pack, and based on the battery characteristics, mark the key monitoring nodes, central monitoring nodes, and individual battery balancing nodes of the battery pack, and establish an encrypted monitoring network for the key monitoring nodes, the central monitoring nodes, and the individual battery balancing nodes. The battery operation data of the battery pack is collected using the key monitoring nodes, and transmitted to the central monitoring node using the corresponding data transmission module of the encrypted monitoring network. The operating status of the battery pack is then analyzed using a preset dynamic battery status analysis algorithm. This analysis includes: preprocessing the battery operation data to obtain preprocessed battery operation data; extracting battery operation parameters from the preprocessed data; and calculating the battery pack SOC estimate based on the battery operation parameters using the following formula: in, Indicates that the battery pack is in Battery pack SOC estimation at time point Indicates that the battery pack is in Battery pack SOC estimation at time point Indicates Kalman gain, Indicates that the battery pack is in The actual voltage measurement value in the battery operating parameters at all times. Indicates that the battery pack is in The voltage analysis value in the battery operating parameters at any time is used to analyze the health status of the battery pack based on the initial capacity and current capacity corresponding to the battery operating parameters. The temperature influence coefficient of the battery pack is analyzed by estimating the battery operating parameters and the battery pack SOC. The battery pack operating status is analyzed by combining the battery pack SOC estimate, the health status, and the temperature influence coefficient using the battery status dynamic analysis algorithm. Based on the operating status, potential imbalance anomalies of the battery pack are analyzed. Based on the individual battery balancing nodes, an balancing circuit for the battery pack is established. Based on the balancing circuit, an adaptive balancing algorithm for the battery pack is defined. Based on the aforementioned adaptive balancing algorithm and the balancing anomaly, the balancing parameters of the battery pack are analyzed. The balancing parameters are then sent to the individual battery balancing nodes using the corresponding task distribution module of the encrypted monitoring network to obtain task balancing nodes. Adaptive balancing of the battery pack is then performed based on the task balancing nodes.

2. The integrated method for active battery balancing and remote monitoring as described in claim 1, characterized in that, The module for establishing the individual battery cell arrangement based on the arrangement influence factor includes: Based on the uniformity of the arrangement influence factors, the cell spacing of the battery cells is defined; Based on the individual cell spacing, determine the initial individual cell arrangement module of the battery cells; Analyze the heat dissipation characteristics of the battery cells; The heat dissipation path of the initial single-unit arrangement module is analyzed by considering the heat dissipation properties and the heat dissipation factors in the arrangement influence factors. Based on the accessibility of the arrangement influence factors, mark the control interface of the initial single-unit arrangement module; By combining the heat dissipation path, the control interface, and the initial cell arrangement module, a cell arrangement module for the battery cells is established.

3. The integrated method for active battery balancing and remote monitoring as described in claim 2, characterized in that, The analysis of the heat dissipation characteristics of the battery cell includes: Determine the battery current, internal resistance, thermal conductivity, cross-sectional area, emissivity, surface area, surface temperature, and ambient temperature of the battery cell. Calculate the heat generation rate of the battery cell based on the battery current and the battery internal resistance; Calculate the thermal conductivity of the battery cell based on the thermal conductivity and the cross-sectional area; The heat flux density of the battery cell is calculated using the following formula based on the emissivity, surface area, cell surface temperature, and cell ambient temperature: in, This represents the heat flux density of a single battery cell. This indicates the emissivity of a single battery cell. This represents the Stefan-Boltzmann constant of a single battery cell. This indicates the surface area of ​​a single battery cell. This indicates the surface temperature of a single battery cell. This indicates the ambient temperature of a single battery cell. The thermal radiation of the battery cell is determined based on the heat flux density. The heat dissipation characteristics of the battery cell are determined by the heat generation rate, the heat conduction, and the heat radiation.

4. The integrated method for active battery balancing and remote monitoring as described in claim 3, characterized in that, The analysis of the battery pack characteristics of the battery pack includes: Obtain the battery pack data of the battery pack; The battery pack data is divided into battery pack electrical data, battery pack physical data, and battery pack performance data. Based on the electrical data of the battery pack, analyze the voltage distribution and charge / discharge curves of the battery pack; Based on the voltage distribution and charge / discharge curves, the electrical characteristics of the battery pack are determined; The physical characteristics of the battery pack are analyzed using the physical data of the battery pack. Based on the battery pack performance data, the battery pack capacity, cycle life, and energy efficiency of the battery pack are determined. Analyze the performance characteristics of the battery pack based on the battery pack capacity, cycle life, and energy efficiency; Based on the electrical characteristics, physical characteristics, and performance characteristics, the battery pack characteristics of the battery pack are determined.

5. The integrated method for active battery balancing and remote monitoring as described in claim 4, characterized in that, The encrypted monitoring network established by the key monitoring nodes, the central monitoring node, and the individual battery balancing nodes includes: Define the encryption requirements for the key monitoring node, the central monitoring node, and the individual battery balancing node; Establish encrypted communication links between the key monitoring nodes, the central monitoring node, and the individual battery balancing nodes; Based on the encryption requirements, an encrypted network architecture is established for the key monitoring nodes, the central monitoring node, and the individual battery balancing nodes. Based on the encrypted network architecture, an initial encrypted monitoring network is established for the key monitoring nodes, the central monitoring node, and the individual battery balancing nodes; Analyze the data transmission performance and network defense performance of the initial encrypted monitoring network; When the data transmission performance and network defense performance simultaneously meet the preset data transmission threshold and network defense threshold, the initial encrypted monitoring network is used as the encrypted monitoring network for the key monitoring node, the central monitoring node, and the individual battery balancing node.

6. The integrated method for active battery balancing and remote monitoring as described in claim 5, characterized in that, The step of estimating the temperature influence coefficient of the battery pack based on the battery operating parameters and the battery pack SOC includes: Based on the battery operating parameters, the discharge rate constant, charge rate constant, temperature, and current of the battery pack are determined. Based on the discharge rate constant, the charge rate constant, the current, the temperature, and the estimated state of charge (SOC) of the battery pack, the temperature influence coefficient of the battery pack is calculated using the following formula: in, This indicates the temperature influence coefficient of the battery pack. This represents the discharge rate constant of the battery pack. Indicates temperature. This indicates the estimated state of charge (SOC) of the battery pack. Represents the charging rate constant. It represents electric current.

7. The integrated method for active battery balancing and remote monitoring as described in claim 6, characterized in that, The analysis of potential imbalance anomalies in the battery pack based on the operating state includes: Obtain the historical equalization data of the battery pack; Based on the historical equalization data, a battery equalization analysis model for the battery pack is constructed. Based on the operating state, the state balance characteristics of the battery pack are analyzed; Based on the state balance characteristics, the battery balance analysis model is used to analyze the balance anomalies of the battery pack. Mark the anomaly coefficient of the analyzed equilibrium anomaly; When the anomaly coefficient meets the preset anomaly threshold, the analysis balance anomaly is regarded as a potential balance anomaly of the battery pack.

8. The integrated method for active battery balancing and remote monitoring as described in claim 7, characterized in that, The balancing circuit for the battery pack, established based on the individual cell balancing nodes, includes: Determine the balancing type of the battery pack; Define the balancing components of the battery pack according to the balancing type; Based on the balancing components and the individual battery balancing nodes, a balancing circuit diagram for the battery pack is established. Calculate the connectivity of the equalization circuit diagram; When the connectivity meets the preset connectivity criteria, the equalization circuit of the battery pack is established according to the equalization circuit diagram.

9. A battery active balancing and remote monitoring integrated system, characterized in that, The system is used to perform the integrated method for active battery balancing and remote monitoring as described in any one of claims 1-8, the system comprising: A battery pack construction module is used to analyze the arrangement influencing factors of individual battery cells, including uniformity, accessibility, and heat dissipation. Based on the arrangement influencing factors, a single-cell arrangement module for the individual battery cells is established, and the voltage level of the single-cell arrangement module is calculated. When the voltage level meets the preset voltage level standard, a battery pack for the individual battery cells is constructed through the single-cell arrangement module. An encrypted monitoring network construction module is used to analyze the battery characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes, and individual battery balancing nodes of the battery pack based on the battery pack characteristics, and establish an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes, and the individual battery balancing nodes. The operational status analysis module is used to collect battery operational data of the battery pack using the key monitoring nodes, transmit the battery operational data to the central monitoring node using the corresponding data transmission module of the encrypted monitoring network, and analyze the operational status of the battery pack using a preset battery status dynamic analysis algorithm. The analysis of the battery pack's operational status using the preset battery status dynamic analysis algorithm includes: preprocessing the battery operational data to obtain preprocessed battery operational data, extracting battery operational parameters from the preprocessed battery operational data, and calculating the battery pack SOC estimate based on the battery operational parameters using the following formula: in, Indicates that the battery pack is in Battery pack SOC estimation at time point Indicates that the battery pack is in Battery pack SOC estimation at time point Indicates Kalman gain, Indicates that the battery pack is in The actual voltage measurement value in the battery operating parameters at all times. Indicates that the battery pack is in The voltage analysis value in the battery operating parameters at any time is used to analyze the health status of the battery pack based on the initial capacity and current capacity corresponding to the battery operating parameters. The temperature influence coefficient of the battery pack is analyzed by estimating the battery operating parameters and the battery pack SOC. The battery pack operating status is analyzed by combining the battery pack SOC estimate, the health status, and the temperature influence coefficient using the battery status dynamic analysis algorithm. The equalization circuit construction module is used to analyze potential equalization anomalies of the battery pack based on the operating state, establish the equalization circuit of the battery pack based on the equalization nodes of the individual cells, and define the equalization adaptive algorithm of the battery pack according to the equalization circuit. The battery pack balancing module is used to analyze the balancing parameters of the battery pack based on the balancing adaptive algorithm and the balancing anomaly, and send the balancing parameters to the individual battery balancing node using the corresponding task distribution module of the encrypted monitoring network to obtain the task balancing node, and perform adaptive balancing of the battery pack based on the task balancing node.

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