Active equalization and remote monitoring integrated method and system for storage battery

Abstract

The invention relates to the technical field of remote monitoring, and discloses a storage battery active equalization and remote monitoring integrated method, which comprises the following steps of: analyzing and establishing arrangement influence factors of storage battery monomers, establishing a monomer arrangement module of the storage battery monomers, calculating a voltage grade of the monomer arrangement module, and when the voltage grade meets a preset voltage grade standard, performing active equalization on the storage battery monomers. Constructing a storage battery pack of the storage battery monomers; the operation state of the storage battery pack is analyzed through a preset battery state dynamic analysis algorithm; analyzing potential equalization abnormity of the storage battery pack, establishing an equalization circuit of the storage battery pack, and defining an equalization adaptive algorithm of the storage battery pack; and analyzing the equalization parameters of the storage battery pack, sending the equalization parameters to the single battery equalization nodes by using a task issuing module corresponding to the encryption monitoring network to obtain task equalization nodes, and executing self-adaptive equalization of the storage battery pack based on the task equalization nodes. The overall performance and reliability of the storage battery pack can be improved.

Description

Technical Field

[0001] The invention relates to a method and system for integrating active battery equalization and remote monitoring, belonging to the technical field of remote monitoring. Background Art

[0002] Active battery balancing and remote monitoring means being able to adjust the energy balance of battery cells in real time. It can also monitor the health of the battery pack through remote access, perform fault diagnosis, optimize maintenance plans, and improve the reliability and efficiency of the entire battery system.

[0003] Active battery balancing and remote monitoring usually rely on simple balancing circuits and independent monitoring units. These systems can only perform basic voltage balancing and status monitoring, and most require regular inspection and maintenance by on-site personnel. They are unable to accurately control battery cells and are difficult to achieve remote fault diagnosis and predictive maintenance, which affects the overall performance and reliability of the battery pack. Summary of the invention

[0004] The present invention provides a method and system for integrating active battery equalization and remote monitoring, the main purpose of which is to improve the overall performance and reliability of a battery pack.

[0005] To achieve the above object, the present invention provides a method for integrating active battery balancing and remote monitoring, comprising:

[0006] Analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility, and heat dissipation, establish a cell arrangement module of the battery cells based on the arrangement influencing factors, calculate the voltage level of the cell arrangement module, and when the voltage level meets the preset voltage level standard, construct a battery pack of the battery cells through the cell arrangement module;

[0007] Analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes;

[0008] The key monitoring nodes are used to collect the battery operation data of the battery pack, the corresponding data transmission module of the encrypted monitoring network is used to transmit the battery operation data to the central monitoring node, and the operation status of the battery pack is analyzed by a preset battery status dynamic analysis algorithm;

[0009] Based on the operating state, analyzing the potential balancing abnormality of the battery group, establishing a balancing circuit of the battery group based on the single cell balancing node, and defining a balancing adaptive algorithm of the battery group according to the balancing circuit;

[0010] Based on the balancing adaptive algorithm and the balancing abnormality, the balancing parameters of the battery pack are analyzed, and the balancing parameters are sent to the single cell balancing node using the corresponding task issuing module of the encrypted monitoring network to obtain a task balancing node, and the adaptive balancing of the battery pack is performed based on the task balancing node.

[0011] Optionally, the establishing of the cell arrangement module of the battery cells based on the arrangement influencing factors includes:

[0012] Based on the uniformity of the arrangement influencing factors, defining the cell spacing of the battery cells;

[0013] Determining an initial cell arrangement module of the battery cells according to the cell spacing;

[0014] Analyzing the heat dissipation characteristics of the battery cells;

[0015] Analyzing the heat dissipation path of the initial monomer arrangement module through the heat dissipation and the heat dissipation characteristics in the arrangement influencing factors;

[0016] Marking the control interface of the initial monomer arrangement module according to the accessibility in the arrangement influencing factor;

[0017] The cell arrangement module of the battery cells is established by combining the heat dissipation path, the control interface and the initial cell arrangement module.

[0018] Optionally, analyzing the heat dissipation characteristics of the battery cell includes:

[0019] Determining the battery current, battery internal resistance, thermal conductivity, cross-sectional area, emissivity, surface area, cell surface temperature, and cell ambient temperature of the battery cell;

[0020] Calculating the heat generation rate of the battery cell based on the battery current and the battery internal resistance;

[0021] Calculating the thermal conduction of the battery cell according to the thermal conductivity and the cross-sectional area;

[0022] The heat flux density of the battery cell is calculated by the following formula using the emissivity, the surface area, the cell surface temperature and the cell ambient temperature:

[0023]

[0024] Where Q represents the heat flux 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, and T surface Indicates the surface temperature of the battery cell, T ambient Indicates the single-cell ambient temperature of the battery cell;

[0025] Determining the thermal radiation of the battery cell according to the heat flux density;

[0026] The heat dissipation characteristics of the battery cell are determined by the heat generation rate, the heat conduction, and the heat radiation.

[0027] Optionally, the analyzing the battery pack characteristics of the battery pack includes:

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

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

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

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

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

[0035] A battery pack characteristic of the battery pack is determined based on the electrical characteristic, the physical characteristic, and the performance characteristic.

[0036] Optionally, the establishing of an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes includes:

[0037] Defining encryption requirements for the key monitoring nodes, the central monitoring nodes, and the single cell balancing nodes;

[0038] Establishing an encrypted communication link between the key monitoring node, the central monitoring node and the single cell balancing node;

[0039] Based on the encryption requirement, establishing an encryption network architecture of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes;

[0040] Based on the encrypted network architecture, an initial encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes is established;

[0041] Analyzing the data transmission performance and network defense performance of the initial encrypted monitoring network;

[0042] When the data transmission performance and the network defense performance simultaneously meet the preset data transmission threshold and the network defense threshold, the initial encrypted monitoring network is used as the encrypted monitoring network of the key monitoring node, the central monitoring node and the single cell balancing node.

[0043] Optionally, analyzing the operating state of the battery pack by using a preset battery state dynamic analysis algorithm includes:

[0044] Preprocessing the battery operation data corresponding to the battery pack to obtain preprocessed battery operation data;

[0045] extracting battery operation parameters from the preprocessed battery operation data;

[0046] Based on the battery operating parameters, the battery pack SOC estimate of the battery pack is calculated using the following formula:

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

[0048] Among them, SOC k It represents the estimated SOC of the battery pack at time k, SOC k-1 represents the battery pack SOC estimation at time k-1, K k represents the Kalman gain, V meas，k Represents the actual voltage measurement value of the battery pack in the battery operating parameters at time k-1, V pred,k Represents the voltage analysis value of the battery pack in the battery operating parameters at time k-1;

[0049] Analyzing the health status of the battery pack based on the initial capacity and the current capacity corresponding to the battery operating parameters;

[0050] Analyzing the temperature influence coefficient of the battery pack through the battery operating parameters and the battery pack SOC estimation;

[0051] The operating state of the battery pack is analyzed using the battery state dynamic analysis algorithm in combination with the battery pack SOC estimation, the health state, and the temperature influence coefficient.

[0052] Optionally, analyzing the temperature influence coefficient of the battery pack by estimating the battery operating parameter and the battery pack SOC includes:

[0053] Determining a discharge rate constant, a charge rate constant, a temperature, and a current of the battery pack based on the battery operating parameters;

[0054] The temperature influence coefficient of the battery pack is calculated using the following formula according to the discharge rate constant, the charge rate constant, the current, the temperature, and the battery pack SOC estimate:

[0055]

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

[0057] Among them, 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 operating temperature of the battery pack.

[0058] Optionally, analyzing the potential balancing abnormality of the battery pack based on the operating state includes:

[0059] Acquiring historical balancing data of the battery pack;

[0060] Constructing a battery balancing analysis model for the battery pack according to the historical balancing data;

[0061] Based on the operating state, analyzing a state balancing characteristic of the battery pack;

[0062] By using the state balancing feature, analyzing the balancing abnormality of the battery group using the battery balancing analysis model;

[0063] marking an abnormal coefficient of the analytical equilibrium abnormality;

[0064] When the abnormal coefficient meets a preset abnormal threshold, the analyzed balancing abnormality is regarded as a potential balancing abnormality of the battery group.

[0065] Optionally, establishing a balancing circuit for the battery pack based on the single cell balancing node includes:

[0066] Determining a balancing type of the battery pack;

[0067] According to the balancing type, defining a balancing component of the battery pack;

[0068] Based on the balancing component and the single cell balancing node, establishing a balancing circuit diagram of the battery pack;

[0069] Calculating connectivity of the equalization circuit diagram;

[0070] When the connectivity meets a preset connectivity standard, an equalizing circuit for the battery pack is established according to the equalizing circuit diagram.

[0071] In order to solve the above problems, the present invention also provides an integrated system for active battery balancing and remote monitoring, the system comprising:

[0072] A battery pack construction module, used for analyzing the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility and heat dissipation, establishing a cell arrangement module of the battery cells based on the arrangement influencing factors, calculating the voltage level of the cell arrangement module, and constructing a battery pack of the battery cells through the cell arrangement module when the voltage level meets the preset voltage level standard;

[0073] An encrypted monitoring network building module is used to analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes;

[0074] An operation status analysis module, used to collect battery operation data of the battery pack using the key monitoring nodes, transmit the battery operation data to the central monitoring node using the data transmission module corresponding to the encrypted monitoring network, and analyze the operation status of the battery pack through a preset battery status dynamic analysis algorithm;

[0075] A balancing circuit construction module, used for analyzing the potential balancing abnormality of the battery pack based on the operating state, establishing the balancing circuit of the battery pack based on the single cell balancing node, and defining the balancing adaptive algorithm of the battery pack according to the balancing circuit;

[0076] 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 abnormality, and use the corresponding task sending module of the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node, and perform adaptive balancing of the battery pack based on the task balancing node.

[0077] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0078] at least one processor; and,

[0079] a memory communicatively connected to the at least one processor; wherein,

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

[0081] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned integrated method of active battery balancing and remote monitoring.

[0082] Compared with the problems described in the background technology, the present invention establishes a single-cell arrangement module of battery cells based on the arrangement influencing factors to establish an efficient, uniform, easy-to-maintain and good heat dissipation battery cell arrangement module, providing a solid foundation for active balancing and remote monitoring of battery packs; the present invention calculates the voltage level of the single-cell 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 present invention 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 present invention can effectively mark and set the key monitoring nodes, central monitoring nodes and single-cell balancing nodes of the battery pack by marking the key monitoring nodes, central monitoring nodes and single-cell balancing nodes of the battery pack, thereby achieving accurate monitoring and balancing management of the battery pack, further, the present invention analyzes the operating status of the battery pack through a preset battery status dynamic analysis algorithm to more accurately evaluate the real-time status of the battery, thereby providing decision support for the battery management system, further, the present invention is based on the operating status , using the trained battery balancing analysis model to analyze the potential balancing anomalies of the battery pack can effectively use the battery balancing analysis model to identify and analyze the potential balancing anomalies of the battery pack, thereby ensuring the performance of the battery pack and extending its service life. Next, the present invention establishes the balancing circuit of the battery pack based on the single cell balancing node. It can establish and implement the balancing circuit of the battery pack to ensure the balance of the battery pack during operation. Finally, the present invention uses the corresponding task sending module of the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node. Based on the task balancing node, the adaptive balancing of the battery pack can be performed to maintain the balancing state of the battery pack more efficiently and intelligently, extend the battery life, and improve the performance of the battery pack. Therefore, the present invention can improve the overall performance and reliability of the battery pack. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 A flowchart of a method for integrating active battery balancing and remote monitoring provided by an embodiment of the present invention;

[0084] Figure 2 A functional module diagram of a battery active balancing and remote monitoring integrated system provided by an embodiment of the present invention;

[0085] Figure 3 A schematic diagram of the structure of an electronic device of an integrated system for active battery balancing and remote monitoring provided by an embodiment of the present invention;

[0086] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0087] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

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

[0089] Embodiment 1:

[0090] Reference Figure 1 FIG. 1 is a flow chart of an integrated method for active battery balancing and remote monitoring provided by an embodiment of the present invention. In this embodiment, the integrated method for active battery balancing and remote monitoring includes:

[0091] S1. Analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility and heat dissipation. Based on the arrangement influencing factors, establish a cell arrangement module of the battery cells, calculate the voltage level of the cell arrangement module, and when the voltage level meets the preset voltage level standard, construct a battery pack of the battery cells through the cell arrangement module.

[0092] It should be explained that the uniformity refers to the consistency of the spacing and connection between the battery cells when they are arranged, the accessibility refers to the degree to which the arrangement of the battery cells is convenient for maintenance and monitoring, and the heat dissipation refers to the heat dissipation of the battery cells after rotation.

[0093] The present invention establishes a single cell arrangement module of battery cells based on the arrangement influencing factors, and can establish a battery cell arrangement module that is efficient, uniform, easy to maintain and has good heat dissipation, providing a solid foundation for active balancing and remote monitoring of battery packs.

[0094] In detail, the cell arrangement module of the battery cells is established based on the arrangement influencing factors, including:

[0095] Based on the uniformity of the arrangement influencing factors, defining the cell spacing of the battery cells;

[0096] Determining an initial cell arrangement module of the battery cells according to the cell spacing;

[0097] Analyzing the heat dissipation characteristics of the battery cells;

[0098] Analyzing the heat dissipation path of the initial monomer arrangement module through the heat dissipation and the heat dissipation characteristics in the arrangement influencing factors;

[0099] Marking the control interface of the initial monomer arrangement module according to the accessibility in the arrangement influencing factor;

[0100] The cell arrangement module of the battery cells is established by combining the heat dissipation path, the control interface and the initial cell arrangement module.

[0101] Among them, the cell spacing refers to the spatial distance between two adjacent single cells in the battery pack, the initial cell arrangement module refers to the arrangement of battery cells preliminarily determined according to the cell spacing, the heat dissipation characteristics refer to the characteristics of heat generated by battery cells during operation, including heat generation rate, thermal conductivity and thermal radiation rate, etc., the heat dissipation path refers to the process and path of heat transfer from battery cells to the external environment, the control interface refers to the electrical connection point used to monitor and control battery cells, including sensor interface, balancing circuit interface, etc., and the cell arrangement module refers to the arrangement of battery cells that has been carefully designed and optimized for practical applications, which takes into account uniformity, heat dissipation and accessibility.

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

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

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

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

[0106] The heat flux density of the battery cell is calculated by the following formula using the emissivity, the surface area, the cell surface temperature and the cell ambient temperature:

[0107]

[0108] Where Q represents the heat flux 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, and T surface Indicates the surface temperature of the battery cell, T ambient Indicates the single-cell ambient temperature of the battery cell;

[0109] Determining the thermal radiation of the battery cell according to the heat flux density;

[0110] The heat dissipation characteristics of the battery cell are determined by the heat generation rate, the heat conduction, and the heat radiation.

[0111] Among them, the battery current refers to the magnitude of the current flowing through the battery cell, the battery internal resistance refers to the obstacle to the flow of current inside the battery cell, the thermal conductivity refers to the amount of heat conducted per unit time under unit temperature difference per unit thickness of the material, the cross-sectional area refers to the cross-sectional area on the heat conduction path, the emissivity refers to the ability of the surface of an object 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 surface of the battery cell, the cell ambient temperature refers to the temperature of the environment surrounding the battery cell, the heat generation rate refers to the heat generated by the battery cell due to electrochemical reaction per unit time, the heat conduction refers to the heat transferred through matter, the heat flux density refers to the heat radiation flow per unit area, the Stefan-Boltzmann constant refers to a physical constant in thermal radiation calculation, and the thermal radiation refers to the heat emitted by the battery cell in the form of electromagnetic waves.

[0112] The present invention calculates the voltage level of the single arrangement module to 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 cells 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 that indicates that the electrical equipment or system can work safely and effectively, and the battery pack refers to a battery pack composed of multiple battery cells (also called battery units).

[0114] S2. Analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes.

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

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

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

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

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

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

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

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

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

[0124] A battery pack characteristic of the battery pack is determined based on the electrical characteristic, the physical characteristic, and the performance characteristic.

[0125] The battery pack data refers to the collection of all measurement and performance information related to the battery pack, including electrical, physical and performance data. The battery pack electrical data refers to data related to the electrical performance of the battery pack, including voltage, current, internal resistance and other data. The battery pack physical data refers to data related to the physical size and shape of the battery pack, including weight, volume, heat dissipation characteristics and other data. The battery pack performance data refers to data related to the performance of the battery pack, including capacity, cycle life, energy efficiency and other data. The voltage distribution refers to the distribution of voltage values ​​of each single cell in the battery pack. The charge and discharge curve refers to the voltage and current distribution of the battery pack during the charge and discharge process. The curve of current changing with time, the electrical characteristics refer to the electrical performance of the battery pack, including voltage stability, internal resistance change, charge and 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 pack capacity refers to the total amount of electricity that the battery pack can store, the cycle life refers to the number of charge and discharge cycles that the battery pack can experience before reaching a certain performance degradation standard, the energy efficiency refers to the efficiency of energy conversion of the battery pack during the charge and discharge process, the performance characteristics refer to the overall performance of the battery pack in operation, including capacity, life, efficiency, etc., and the battery pack characteristics refer to a comprehensive evaluation based on electrical characteristics, physical characteristics and performance characteristics.

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

[0127] The present invention can effectively mark and set the key monitoring nodes, central monitoring nodes and single cell balancing nodes of the battery pack by marking the key monitoring nodes, central monitoring nodes and single cell balancing nodes of the battery pack, thereby realizing accurate monitoring and balancing management of the battery pack. Among them, the key monitoring nodes refer to the points used to monitor the key performance parameters of the battery pack, the central monitoring nodes are the core of the battery pack monitoring system, responsible for collecting, processing and transmitting all monitoring data, and the single cell balancing nodes refer to the points used to adjust the voltage difference between battery cells.

[0128] The present invention can establish a safe encrypted monitoring network by establishing an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes, thereby protecting the monitoring data of the battery pack from unauthorized access and tampering.

[0129] In detail, the establishment of an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes, and the single cell balancing nodes includes:

[0130] Defining encryption requirements for the key monitoring nodes, the central monitoring nodes, and the single cell balancing nodes;

[0131] Establishing an encrypted communication link between the key monitoring node, the central monitoring node and the single cell balancing node;

[0132] Based on the encryption requirement, establishing an encryption network architecture of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes;

[0133] Based on the encrypted network architecture, an initial encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes is established;

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

[0135] When the data transmission performance and the network defense performance simultaneously meet the preset data transmission threshold and the network defense threshold, the initial encrypted monitoring network is used as the encrypted monitoring network of the key monitoring node, the central monitoring node and the single cell balancing node.

[0136] Among them, the encryption requirement refers to the encryption standards that must be met for key monitoring nodes, central monitoring nodes and single cell balancing nodes in terms of communication and data storage in order to ensure data security and privacy. The encrypted communication link refers to the communication path established in the network using encryption technology to protect data from being eavesdropped or tampered with during transmission. The encrypted network architecture refers to the structural 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 when transmitting data. The network defense performance refers to the ability of the encrypted monitoring network to resist external attacks and internal threats. The encrypted monitoring network refers to a monitoring system that integrates encryption technology and security protocols.

[0137] Optionally, the establishment of the encrypted communication link among the key monitoring node, the central monitoring node and the single cell balancing node may be implemented using a VPN (Virtual Private Network) or an encrypted tunnel.

[0138] S3. Utilize the key monitoring nodes to collect the battery operation data of the battery pack, utilize the corresponding data transmission module of the encrypted monitoring network to transmit the battery operation data to the central monitoring node, and analyze the operation status of the battery pack through a preset battery status dynamic analysis algorithm.

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

[0140] The present invention analyzes the operating status of the battery pack through a preset battery status dynamic analysis algorithm, and can more accurately evaluate the real-time status of the battery, thereby providing decision support for the battery management system.

[0141] In detail, the analysis of the operating state of the battery pack by using a preset battery state dynamic analysis algorithm includes:

[0142] Preprocessing the battery operation data corresponding to the battery pack to obtain preprocessed battery operation data;

[0143] extracting battery operation parameters from the preprocessed battery operation data;

[0144] Based on the battery operating parameters, the battery pack SOC estimate of the battery pack is calculated using the following formula:

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

[0146] Among them, SOC k It represents the estimated SOC of the battery pack at time k, SOC k-1 represents the battery pack SOC estimation at time k-1, K k represents the Kalman gain, V meas，k Represents the actual voltage measurement value of the battery pack in the battery operating parameters at time k-1, V pred,k Represents the voltage analysis value of the battery pack in the battery operating parameters at time k-1;

[0147] Analyzing the health status of the battery pack based on the initial capacity and the current capacity corresponding to the battery operating parameters;

[0148] Analyzing the temperature influence coefficient of the battery pack through the battery operating parameters and the battery pack SOC estimation;

[0149] The operating state of the battery pack is analyzed using the battery state dynamic analysis algorithm in combination with the battery pack SOC estimation, the health state, and the temperature influence coefficient.

[0150] Among them, the pre-processed battery operation data refers to a data set that is more accurate and more suitable for further analysis after cleaning, normalizing, filtering and other operations on the original battery operation data. The battery operation parameters refer to key performance indicators extracted from the pre-processed battery operation data, including but not limited to voltage, current, and temperature data. The battery pack 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 in the Kalman filter algorithm to weigh the difference between the predicted value and the observed value. The actual voltage measurement value refers to the battery voltage value directly measured by the sensor or monitoring equipment of the battery pack. The voltage analysis value refers to the basic The battery voltage value predicted by the battery model and algorithm, the initial capacity refers to the nominal capacity of the battery pack in a brand new state, the current capacity refers to the capacity that the battery pack can actually provide in the current state, the health state refers to the actual performance index of the battery relative to its initial state, the temperature influence coefficient refers to the degree to which the battery performance (such as capacity, power, internal resistance, etc.) changes with temperature, the battery state dynamic analysis algorithm refers to the mathematical model and calculation method used to monitor and evaluate the battery state in real time, and the operating state refers to the comprehensive performance of the battery pack at a specific time point, including parameters such as SOC, SOH, temperature distribution, etc., which reflects whether the battery pack is in a normal working state.

[0151] Further, analyzing the temperature influence coefficient of the battery pack by estimating the battery operating parameters and the battery pack SOC includes:

[0152] Determining a discharge rate constant, a charge rate constant, a temperature, and a current of the battery pack based on the battery operating parameters;

[0153] The temperature influence coefficient of the battery pack is calculated using the following formula according to the discharge rate constant, the charge rate constant, the current, the temperature, and the battery pack SOC estimate:

[0154]

[0155] in, represents the temperature influence coefficient of the battery pack, α(T) represents the discharge rate constant of the battery pack, T represents temperature, SOC represents the battery pack SOC estimation, θ(T) represents the charge rate constant, and I represents current.

[0156] Among them, 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 operating temperature of the battery pack.

[0157] Optionally, the battery pack SOC estimation, the health state and the temperature influence coefficient are combined, and the battery state dynamic analysis algorithm is used to analyze the operating state of the battery pack, and the weighted calculation is performed to dynamically evaluate the influence weights of different indicator states through the battery state dynamic analysis algorithm. Among them, the indicator 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 operation state.

[0158] S4. Based on the operating status, analyze the potential balancing abnormality of the battery pack, establish a balancing circuit for the battery pack based on the single cell balancing node, and define a balancing adaptive algorithm for the battery pack according to the balancing circuit.

[0159] Based on the operating state, the present invention uses a trained battery balancing analysis model to analyze the potential balancing anomaly of the battery pack. The battery balancing analysis model can be effectively used to identify and analyze the potential balancing anomaly of the battery pack, thereby ensuring the performance of the battery pack and extending its service life.

[0160] In detail, the analyzing the potential balancing abnormality of the battery pack based on the operating state includes:

[0161] Acquiring historical balancing data of the battery pack;

[0162] Constructing a battery balancing analysis model for the battery pack according to the historical balancing data;

[0163] Based on the operating state, analyzing a state balancing characteristic of the battery pack;

[0164] By using the state balancing feature, analyzing the balancing abnormality of the battery group using the battery balancing analysis model;

[0165] marking an abnormal coefficient of the analytical equilibrium abnormality;

[0166] When the abnormal coefficient meets a preset abnormal threshold, the analyzed balancing abnormality is regarded as a potential balancing abnormality of the battery group.

[0167] Among them, the historical balancing data refers to the recorded data of the battery pack during the balancing process in the past period of time, including the voltage, current, temperature, SOC change, number and time of balancing operations of the single cell, etc. The battery balancing analysis model refers to a mathematical model or machine learning model constructed based on the historical balancing data and the characteristics of the battery pack. The state balancing feature refers to the feature related to the balancing performance extracted from the operating state of the battery pack, such as the single cell voltage difference, SOC difference, temperature difference and other features. The analysis balancing abnormality refers to the balancing problem that may exist in the battery pack identified by the battery balancing analysis model, such as single cell overcharge, over discharge or unbalanced charging, etc. The abnormal coefficient refers to the value used to represent the severity or occurrence probability of the analysis balancing abnormality. The abnormal threshold value refers to the standard used to judge whether the abnormal coefficient is high enough. The potential balancing abnormality refers to the balancing problem that is considered to have a negative impact on the performance and life of the battery pack after analysis and verification.

[0168] Optionally, constructing the battery balancing analysis model of the battery pack according to the historical balancing data may be achieved by training a support vector machine balancing analysis model architecture using historical balancing data.

[0169] The present invention establishes the balancing circuit of the battery pack based on the single cell balancing node, and can establish and implement the balancing circuit of the battery pack to ensure the balance of the battery pack during operation.

[0170] In detail, the balancing circuit of the battery pack is established based on the single cell balancing node, including:

[0171] Determining a balancing type of the battery pack;

[0172] According to the balancing type, defining a balancing component of the battery pack;

[0173] Based on the balancing component and the single cell balancing node, establishing a balancing circuit diagram of the battery pack;

[0174] Calculating connectivity of the equalization circuit diagram;

[0175] When the connectivity meets a preset connectivity standard, an equalizing circuit for the battery pack is established according to the equalizing circuit diagram.

[0176] Among them, the balancing type refers to the method used to maintain the voltage balance of single cells in the battery pack, including passive balancing, active balancing and hybrid balancing; the balancing component refers to the hardware part that constitutes the balancing circuit, including but not limited to resistors, power transistors, capacitors and inductors, as well as current sensors and voltage sensors; the balancing circuit diagram refers to an electrical diagram that shows the connection method and circuit layout between the balancing components; the connectivity refers to whether the components in the balancing circuit diagram can be correctly connected and communicated according to the design intent; the connectivity standard refers to the parameter used to evaluate whether the connectivity of the balancing circuit diagram meets the design requirements; and the balancing circuit refers to the circuit actually constructed.

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

[0178] According to the balancing circuit, the present invention defines the balancing adaptive algorithm of the battery pack, which can more intelligently maintain the health state of the battery pack, reduce maintenance costs, and improve the reliability and service life of the battery pack. The balancing adaptive algorithm refers to an algorithm that automatically adjusts the balancing strategy according to the real-time state and external conditions of the battery pack. In detail, the balancing adaptive algorithm is constructed by setting an internal balancing threshold and an external balancing threshold.

[0179] S5. Based on the balancing adaptive algorithm and the balancing abnormality, the balancing parameters of the battery pack are analyzed, and the balancing parameters are sent to the single cell balancing node by using the task issuing module corresponding to the encrypted monitoring network to obtain a task balancing node, and adaptive balancing of the battery pack is performed based on the task balancing node.

[0180] The present invention analyzes the balancing parameters of the battery pack based on the balancing adaptive algorithm and the balancing anomaly to ensure that the balancing parameters of the battery pack are effectively managed, thereby improving the overall performance and reliability of the battery pack. The balancing parameters refer to a series of parameters used to control and optimize the performance of the balancing circuit of the battery pack, such as balancing current size, balancing threshold, balancing time, balancing frequency and other parameters.

[0181] Finally, the present invention utilizes the task issuing module corresponding to the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node. The adaptive balancing of the battery group based on the task balancing node can maintain the balancing state of the battery group more efficiently and intelligently, extend the battery life, and improve the performance of the battery group.

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

[0183] Compared with the problems described in the background technology, the present invention establishes a single-cell arrangement module of battery cells based on the arrangement influencing factors to establish an efficient, uniform, easy-to-maintain and good heat dissipation battery cell arrangement module, providing a solid foundation for active balancing and remote monitoring of battery packs; the present invention calculates the voltage level of the single-cell 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 present invention 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 present invention can effectively mark and set the key monitoring nodes, central monitoring nodes and single-cell balancing nodes of the battery pack by marking the key monitoring nodes, central monitoring nodes and single-cell balancing nodes of the battery pack, thereby achieving accurate monitoring and balancing management of the battery pack, further, the present invention analyzes the operating status of the battery pack through a preset battery status dynamic analysis algorithm to more accurately evaluate the real-time status of the battery, thereby providing decision support for the battery management system, further, the present invention is based on the operating status , using the trained battery balancing analysis model to analyze the potential balancing anomalies of the battery pack can effectively use the battery balancing analysis model to identify and analyze the potential balancing anomalies of the battery pack, thereby ensuring the performance of the battery pack and extending its service life. Next, the present invention establishes the balancing circuit of the battery pack based on the single cell balancing node. It can establish and implement the balancing circuit of the battery pack to ensure the balance of the battery pack during operation. Finally, the present invention uses the corresponding task sending module of the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node. Based on the task balancing node, the adaptive balancing of the battery pack can be performed to maintain the balancing state of the battery pack more efficiently and intelligently, extend the battery life, and improve the performance of the battery pack. Therefore, the present invention can improve the overall performance and reliability of the battery pack.

[0184] Embodiment 2:

[0185] like Figure 2 , which is a functional module diagram of a battery active balancing and remote monitoring integrated system provided by an embodiment of the present invention.

[0186] The integrated system 200 for active battery equalization and remote monitoring of the present invention can be installed in an electronic device. According to the functions to be implemented, the integrated system 200 for active battery equalization and remote monitoring can include a battery pack construction module 201, an encrypted monitoring network construction module 202, an operation status analysis module 203, an equalization circuit construction module 204, and a battery pack equalization module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and is stored in the memory of the electronic device.

[0187] In this embodiment, the functions of each module / unit are as follows:

[0188] The battery pack construction module 201 is used to analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility and heat dissipation, and to establish a cell arrangement module of the battery cells based on the arrangement influencing factors, and calculate the voltage level of the cell arrangement module. When the voltage level meets the preset voltage level standard, the battery pack of the battery cells is constructed through the cell arrangement module;

[0189] The encrypted monitoring network building module 202 is used to analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes;

[0190] The operation status analysis module 203 is used to collect the battery operation data of the battery pack by using the key monitoring node, transmit the battery operation data to the central monitoring node by using the data transmission module corresponding to the encrypted monitoring network, and analyze the operation status of the battery pack by using a preset battery status dynamic analysis algorithm;

[0191] The balancing circuit construction module 204 is used to analyze the potential balancing abnormality of the battery group based on the operating state, establish the balancing circuit of the battery group based on the single cell balancing node, and define the balancing adaptive algorithm of the battery group according to the balancing circuit;

[0192] The battery group balancing module 205 is used to analyze the balancing parameters of the battery group based on the balancing adaptive algorithm and the balancing abnormality, and use the corresponding task sending module of the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node, and perform adaptive balancing of the battery group based on the task balancing node.

[0193] In detail, each module described in the integrated system 200 for active battery balancing and remote monitoring described in the embodiment of the present invention adopts the same technical means as the integrated method for active battery balancing and remote monitoring described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0194] An embodiment of the present invention provides an electronic device for realizing an integrated method of active battery balancing and remote monitoring.

[0195] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a battery active balancing and remote monitoring integrated method program.

[0196] Among them, the processor may be composed of an integrated circuit in some embodiments, for example, it may be composed of a single packaged integrated circuit, or it may be composed of multiple integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory (for example, executing an integrated program for active battery balancing and remote monitoring, etc.), and calls data stored in the memory to execute various functions of the electronic device and process data.

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

[0198] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0199] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may 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 visual user interface.

[0200] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0201] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this 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, and when running in the processor, it can achieve:

[0203] Analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility, and heat dissipation, establish a cell arrangement module of the battery cells based on the arrangement influencing factors, calculate the voltage level of the cell arrangement module, and when the voltage level meets the preset voltage level standard, construct a battery pack of the battery cells through the cell arrangement module;

[0204] Analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes;

[0205] The key monitoring nodes are used to collect the battery operation data of the battery pack, the corresponding data transmission module of the encrypted monitoring network is used to transmit the battery operation data to the central monitoring node, and the operation status of the battery pack is analyzed by a preset battery status dynamic analysis algorithm;

[0206] Based on the operating state, analyzing the potential balancing abnormality of the battery group, establishing a balancing circuit of the battery group based on the single cell balancing node, and defining a balancing adaptive algorithm of the battery group according to the balancing circuit;

[0207] Based on the balancing adaptive algorithm and the balancing abnormality, the balancing parameters of the battery pack are analyzed, and the balancing parameters are sent to the single cell balancing node using the corresponding task issuing module of the encrypted monitoring network to obtain a task balancing node, and the adaptive balancing of the battery pack is performed based on the task balancing node.

[0208] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0209] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it 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 may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0210] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0211] Analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility, and heat dissipation, establish a cell arrangement module of the battery cells based on the arrangement influencing factors, calculate the voltage level of the cell arrangement module, and when the voltage level meets the preset voltage level standard, construct a battery pack of the battery cells through the cell arrangement module;

[0212] Analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes;

[0213] The key monitoring nodes are used to collect the battery operation data of the battery pack, the corresponding data transmission module of the encrypted monitoring network is used to transmit the battery operation data to the central monitoring node, and the operation status of the battery pack is analyzed by a preset battery status dynamic analysis algorithm;

[0214] Based on the operating state, analyzing the potential balancing abnormality of the battery group, establishing a balancing circuit of the battery group based on the single cell balancing node, and defining a balancing adaptive algorithm of the battery group according to the balancing circuit;

[0215] Based on the balancing adaptive algorithm and the balancing abnormality, the balancing parameters of the battery pack are analyzed, and the balancing parameters are sent to the single cell balancing node using the corresponding task issuing module of the encrypted monitoring network to obtain a task balancing node, and the adaptive balancing of the battery pack is performed based on the task balancing node.

[0216] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0217] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0218] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

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

[0220] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0221] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0222] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A method for integrating active battery balancing and remote monitoring, characterized in that: The method comprises: Analyze the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility, and heat dissipation, establish a cell arrangement module of the battery cells based on the arrangement influencing factors, calculate the voltage level of the cell arrangement module, and when the voltage level meets the preset voltage level standard, construct a battery pack of the battery cells through the cell arrangement module; Analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes; The key monitoring nodes are used to collect the battery operation data of the battery pack, the corresponding data transmission module of the encrypted monitoring network is used to transmit the battery operation data to the central monitoring node, and the operation status of the battery pack is analyzed by a preset battery status dynamic analysis algorithm; Based on the operating state, analyzing the potential balancing abnormality of the battery group, establishing a balancing circuit of the battery group based on the single cell balancing node, and defining a balancing adaptive algorithm of the battery group according to the balancing circuit; Based on the balancing adaptive algorithm and the balancing abnormality, the balancing parameters of the battery pack are analyzed, and the balancing parameters are sent to the single cell balancing node using the corresponding task issuing module of the encrypted monitoring network to obtain a task balancing node, and the adaptive balancing of the battery pack is performed based on the task balancing node.

2. The method for integrating active battery balancing and remote monitoring according to claim 1, characterized in that: The method of establishing a cell arrangement module for the battery cells based on the arrangement influencing factors includes: Based on the uniformity of the arrangement influencing factors, defining the cell spacing of the battery cells; Determining an initial cell arrangement module of the battery cells according to the cell spacing; Analyzing the heat dissipation characteristics of the battery cells; Analyzing the heat dissipation path of the initial monomer arrangement module through the heat dissipation and the heat dissipation characteristics in the arrangement influencing factors; Marking the control interface of the initial monomer arrangement module according to the accessibility in the arrangement influencing factor; The cell arrangement module of the battery cells is established by combining the heat dissipation path, the control interface and the initial cell arrangement module.

3. The integrated method of active battery equalization and remote monitoring as claimed in claim 2, characterized in that: The analyzing the heat dissipation characteristics of the battery cell includes: Determining the battery current, battery internal resistance, thermal conductivity, cross-sectional area, emissivity, surface area, cell surface temperature, and cell ambient temperature of the battery cell; Calculating the heat generation rate of the battery cell based on the battery current and the battery internal resistance; Calculating the thermal conduction of the battery cell according to the thermal conductivity and the cross-sectional area; The heat flux density of the battery cell is calculated by the following formula using the emissivity, the surface area, the cell surface temperature and the cell ambient temperature: Where Q represents the heat flux 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, and T surface Indicates the surface temperature of the battery cell, T ambient Indicates the single-cell ambient temperature of the battery cell; Determining the thermal radiation of the battery cell according to 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 method for integrating active battery balancing and remote monitoring as claimed in claim 3, characterized in that: The analyzing the battery pack characteristics of the battery pack includes: Acquiring battery pack data of the battery pack; Dividing the battery pack data into battery pack electrical data, battery pack physical data and battery pack performance data; Analyzing the voltage distribution and charge and discharge curves of the battery pack according to the electrical data of the battery pack; Determining electrical characteristics of the battery pack based on the voltage distribution and the charge and discharge curves; Analyzing the physical characteristics of the battery pack through the battery pack physical data; Determining the battery capacity, cycle life, and energy efficiency of the battery pack based on the battery pack performance data; Analyzing the performance characteristics of the battery pack according to the battery pack capacity, the cycle life and the energy efficiency; A battery pack characteristic of the battery pack is determined based on the electrical characteristic, the physical characteristic, and the performance characteristic.

5. The method for integrating active battery balancing and remote monitoring as claimed in claim 4, characterized in that: The step of establishing an encrypted monitoring network of the key monitoring nodes, the central monitoring nodes, and the single cell balancing nodes includes: Defining encryption requirements for the key monitoring nodes, the central monitoring nodes, and the single cell balancing nodes; Establishing an encrypted communication link between the key monitoring node, the central monitoring node and the single cell balancing node; Based on the encryption requirement, establishing an encryption network architecture of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes; Based on the encrypted network architecture, an initial encrypted monitoring network of the key monitoring nodes, the central monitoring nodes and the single cell balancing nodes is established; Analyzing the data transmission performance and network defense performance of the initial encrypted monitoring network; When the data transmission performance and the network defense performance simultaneously meet the preset data transmission threshold and the network defense threshold, the initial encrypted monitoring network is used as the encrypted monitoring network of the key monitoring node, the central monitoring node and the single cell balancing node.

6. The method for integrating active battery balancing and remote monitoring as claimed in claim 5, characterized in that: The analyzing the operating state of the battery pack by using the preset battery state dynamic analysis algorithm includes: Preprocessing the battery operation data corresponding to the battery pack to obtain preprocessed battery operation data; extracting battery operation parameters from the preprocessed battery operation data; Based on the battery operating parameters, the battery pack SOC estimate of the battery pack is calculated using the following formula: SOC k =SOC k-1 +K k (V meas,k -V pred,k ) Among them, SOC k It represents the battery pack SOC estimation at time k, SOC k-1 represents the battery pack SOC estimation at time k-1, K k represents the Kalman gain, V meas,k Represents the actual voltage measurement value of the battery pack in the battery operating parameters at time k-1, V pred,k Represents the voltage analysis value of the battery pack in the battery operating parameters at time k-1; Analyzing the health status of the battery pack based on the initial capacity and the current capacity corresponding to the battery operating parameters; Analyzing the temperature influence coefficient of the battery pack through the battery operating parameters and the battery pack SOC estimation; The operating state of the battery pack is analyzed using the battery state dynamic analysis algorithm in combination with the battery pack SOC estimation, the health state, and the temperature influence coefficient.

7. The method for integrating active battery balancing and remote monitoring as claimed in claim 6, characterized in that: The step of analyzing the temperature influence coefficient of the battery pack by estimating the battery operating parameters and the battery pack SOC includes: Determining a discharge rate constant, a charge rate constant, a temperature, and a current of the battery pack based on the battery operating parameters; The temperature influence coefficient of the battery pack is calculated using the following formula according to the discharge rate constant, the charge rate constant, the current, the temperature, and the battery pack SOC estimate: in, represents the temperature influence coefficient of the battery pack, α(T) represents the discharge rate constant of the battery pack, T represents temperature, SOC represents the battery pack SOC estimation, θ(T) represents the charge rate constant, and I represents current. Among them, 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 operating temperature of the battery pack.

8. The method for integrating active battery balancing and remote monitoring according to claim 7, characterized in that: The analyzing the potential balancing abnormality of the battery pack based on the operating state includes: Acquiring historical balancing data of the battery pack; Constructing a battery balancing analysis model for the battery pack according to the historical balancing data; Based on the operating state, analyzing a state balancing characteristic of the battery pack; By using the state balancing feature, analyzing the balancing abnormality of the battery group using the battery balancing analysis model; marking an abnormal coefficient of the analytical equilibrium abnormality; When the abnormal coefficient meets a preset abnormal threshold, the analyzed balancing abnormality is regarded as a potential balancing abnormality of the battery group.

9. The method for integrating active battery balancing and remote monitoring as claimed in claim 8, characterized in that: The step of establishing a balancing circuit for the battery pack based on the single cell balancing node comprises: Determining a balancing type of the battery pack; According to the balancing type, defining a balancing component of the battery pack; Based on the balancing component and the single cell balancing node, establishing a balancing circuit diagram of the battery pack; Calculating connectivity of the equalization circuit diagram; When the connectivity meets a preset connectivity standard, an equalizing circuit for the battery pack is established according to the equalizing circuit diagram.

10. A battery active equalization and remote monitoring integrated system, characterized in that: The system is used to execute the integrated method of active battery balancing and remote monitoring as claimed in any one of claims 1 to 9, and comprises: A battery pack construction module, used for analyzing the arrangement influencing factors of the battery cells, wherein the arrangement influencing factors include uniformity, accessibility and heat dissipation, establishing a cell arrangement module of the battery cells based on the arrangement influencing factors, calculating the voltage level of the cell arrangement module, and constructing a battery pack of the battery cells through the cell arrangement module when the voltage level meets the preset voltage level standard; An encrypted monitoring network building module is used to analyze the battery pack characteristics of the battery pack, mark the key monitoring nodes, central monitoring nodes and single cell 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 single cell balancing nodes; An operation status analysis module, used to collect battery operation data of the battery pack using the key monitoring nodes, transmit the battery operation data to the central monitoring node using the data transmission module corresponding to the encrypted monitoring network, and analyze the operation status of the battery pack through a preset battery status dynamic analysis algorithm; A balancing circuit construction module, used for analyzing the potential balancing abnormality of the battery pack based on the operating state, establishing the balancing circuit of the battery pack based on the single cell balancing node, and defining the balancing adaptive algorithm of the battery pack according to the balancing 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 abnormality, and use the corresponding task sending module of the encrypted monitoring network to send the balancing parameters to the single cell balancing node to obtain the task balancing node, and perform adaptive balancing of the battery pack based on the task balancing node.

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