Energy storage wireless BMS system management method, system, device and storage medium

Abstract

A method, system, device, and storage medium for managing an energy storage wireless BMS system. The system receives status parameters of each battery cell from each battery management unit (BMU) via a first wireless communication module; analyzes each battery cell's status parameters based on preset decision rules to derive a charge-discharge strategy for each battery cell; and transmits this charge-discharge strategy to each BMU via a second wireless communication module, enabling each BMU to optimize its charge-discharge process based on the strategy. This system can evaluate and optimize the operating status of each battery cell at the system level, improving the safety, efficiency, and lifespan of the battery system.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage wireless BMS, and in particular relates to an energy storage wireless BMS system management method, system, device and storage medium. Background Art

[0002] With the rapid development of new energy, energy storage systems have become a crucial technological solution to addressing the volatility and intermittency of renewable energy. As a core component of energy storage systems, battery management systems (BMS) are responsible for monitoring battery status, optimizing charge and discharge control, and protecting battery safety. Traditional BMS systems often rely on wired connections, resulting in complex installation, difficult maintenance, and inconvenient wiring.

[0003] Furthermore, with the advancement of wireless communication technology, wireless transmission-based battery management solutions have been gradually proposed to enhance the flexibility and intelligence of BMS systems. However, in battery systems composed of multiple battery cells (such as electric vehicle battery packs and energy storage systems), coordinated management of each cell is often required to ensure the safety, efficiency, and lifespan of the overall system. Existing battery management systems often use static or empirical strategies for charge and discharge regulation, lacking systematic evaluation and optimization of the performance of individual battery cells, which impacts the safety, efficiency, and lifespan of the battery system. Summary of the Invention

[0004] In view of this, the embodiments of the present invention provide a method, system, device and storage medium for managing a wireless BMS system for energy storage, which can evaluate and optimize the operating status of each battery cell at the system level, thereby improving the safety, efficiency and life of the battery system.

[0005] A first aspect of an embodiment of the present invention provides a method for managing an energy storage wireless BMS system, including:

[0006] receiving a status parameter of each battery unit sent by each battery management unit through the first wireless communication module;

[0007] Analyze the state parameters of each battery cell based on the preset decision rules to obtain the optimal charging and discharging strategy for each battery cell;

[0008] The charging and discharging strategy is sent to each battery management unit based on the second wireless communication module, so that each battery management unit optimizes the charging and discharging process of each battery unit based on the charging and discharging strategy.

[0009] In one embodiment, analyzing the state parameters of each battery cell based on a preset decision rule to obtain a charge and discharge strategy for each battery cell includes:

[0010] For any battery cell, determine the state of charge, state of health, and temperature of the battery cell based on the state parameters of the battery cell;

[0011] Optimizing the charge and discharge current of the battery cell under the current state parameters according to a preset objective function;

[0012] The charge and discharge strategy of the battery unit is adjusted according to the optimized charge and discharge current.

[0013] In one embodiment, the state parameters include: battery current;

[0014] The determining the state of charge of the battery cells based on the state parameters of the battery cells respectively includes: determining the state of charge at the current moment according to the battery current at the current moment, the standard capacity of the battery cell, and a sampling time interval.

[0015] In one embodiment, the state parameters also include battery capacity; and determining the health state of the battery cell based on the state parameters of the battery cell respectively includes: determining the health state of the battery cell according to the battery capacity at a current moment and the standard capacity of the battery cell.

[0016] In one embodiment, the state parameters also include the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the ambient temperature. Determining the temperature of the battery cell based on the state parameters of the battery cell includes: determining the temperature of the battery cell according to the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the ambient temperature.

[0017] A second aspect of an embodiment of the present application provides an energy storage wireless BMS system, including:

[0018] A battery management unit, configured to monitor status parameters of each battery cell in the energy storage system and transmit the status parameters to the control unit via the first wireless communication module;

[0019] A first wireless communication module, used to implement wireless data transmission between the battery management unit and the control unit;

[0020] A control unit is used to analyze the state parameters based on preset decision rules to obtain a charge and discharge strategy for optimizing each battery cell, and send the charge and discharge strategy to the battery management unit through a second wireless communication module, so that the battery management unit optimizes the charge and discharge process of each battery cell based on the charge and discharge strategy.

[0021] In one embodiment, the battery management unit further includes an energy optimization module, a safety protection module, and a battery pack interface module;

[0022] The energy optimization module is used to perform energy scheduling and optimization based on the state parameters;

[0023] The safety protection module is used to monitor the operating status of each battery unit and generate protection measures according to the operating status;

[0024] The battery pack interface module is connected to each of the battery cells and is used to collect the status parameters.

[0025] In one embodiment, the first wireless communication module or the second wireless communication module includes but is not limited to Zigbee, LoRa, Wi-Fi or 5G.

[0026] A third aspect of an embodiment of the present invention provides an energy storage wireless BMS system management device, including:

[0027] An analysis module is used to analyze the state parameters of each battery cell based on preset decision rules to obtain a charge and discharge strategy for each battery cell;

[0028] The second wireless communication module is used to send the charging and discharging strategy to the battery management unit so that the battery management unit optimizes the charging and discharging process of each battery cell based on the charging and discharging strategy; the state parameters are sent by the battery management unit through the first wireless communication module, including the state parameters of each battery cell in the energy storage system.

[0029] A fourth aspect of an embodiment of the present invention provides an energy storage wireless BMS system management device, comprising: a second wireless communication module, a processor, a memory, and a computer program stored in the memory and executable on the processor; the second wireless communication module is communicatively connected to the first wireless communication module of the battery management unit, and the processor implements the method described in the second aspect above when executing the computer program.

[0030] A fifth aspect of an embodiment of the present invention 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, the method described in the first aspect above is implemented.

[0031] The present invention provides a method, system, device, and storage medium for managing a wireless energy storage BMS. These methods analyze the status parameters of each battery cell based on preset decision rules to determine a charge and discharge strategy for each cell. These strategies are then transmitted to each battery management unit, enabling each unit to optimize its own charge and discharge process based on the strategy. This method allows for system-level evaluation and optimization of the operating status of each battery cell, improving the safety, efficiency, and lifespan of the battery system. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 A schematic diagram of the structure of an energy storage wireless BMS system provided in one embodiment of the present application;

[0034] Figure 2 A schematic structural diagram of a battery management unit provided in one embodiment of the present application;

[0035] Figure 3 A flowchart of a method for managing an energy storage wireless BMS system provided in one embodiment of the present application;

[0036] Figure 4 A schematic diagram of an energy storage wireless BMS system management device provided in one embodiment of the present application;

[0037] Figure 5 A schematic diagram of an energy storage wireless BMS system management device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0038] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0040] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0041] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0043] In the description of the embodiments of the present application, the term "multi-frame" refers to two or more (including two).

[0044] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0045] The first aspect of the embodiment of the present invention provides an energy storage wireless BMS system, see Figure 1 As shown, Figure 1 This is a schematic diagram of the structure of the energy storage wireless BMS system provided in one embodiment of the present application. Figure 1 It can be seen that the energy storage wireless BMS system 100 includes: a battery management unit 110, which is used to monitor the status parameters of each battery cell 120 in the energy storage system, and transmit the status parameters of each battery cell 120 to the control unit 140 through the first wireless communication module 130; the first wireless communication module 130 is used to realize wireless data transmission between the battery management unit 110 and the control unit 140; the control unit 140 is used to analyze the status parameters of each battery cell 120 based on a preset decision rule, obtain a charge and discharge strategy for optimizing each battery cell 120, and send the charge and discharge strategy to the battery management unit 110 through the second wireless communication module 150, so that the battery management unit 110 optimizes the charge and discharge process of each battery cell 120 based on the charge and discharge strategy.

[0046] In one embodiment, the first wireless communication module 130 or the second wireless communication module 150 includes but is not limited to wireless communication modules using low-power, high-efficiency wireless protocols such as Zigbee, LoRa, Wi-Fi, or 5G.

[0047] It should be noted that in this application, data transmission adopts a low-power wireless protocol, and the signal strength and frequency of wireless transmission can be dynamically adjusted according to signal quality, transmission distance and system requirements.

[0048] For example, Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a battery management unit provided in one embodiment of the present application. Figure 2 It can be seen that the battery management unit 110 also includes an energy optimization module 210, a safety protection module 220 and a battery pack interface module 230; wherein the energy optimization module 210 is used to perform energy scheduling and optimization based on the status parameters of each battery cell 120; the safety protection module 220 is used to monitor the operating status of each battery cell 120 and generate protection measures according to the operating status of each battery cell 120; the battery pack interface module 230 is connected to each battery cell 120 and is used to collect the status parameters of each battery cell 120.

[0049] The energy optimization module is used to perform energy scheduling and optimization, thereby improving the working efficiency of the energy storage wireless BMS system. The safety protection module can monitor abnormal conditions (such as overtemperature, overcharging or short circuit) during the operation of the battery unit and automatically take protective measures to ensure the safe and stable operation of the energy storage wireless BMS system. The battery pack interface module is connected to each battery unit in the energy storage wireless BMS system to realize data collection and control of each battery unit.

[0050] The second aspect of the embodiment of the present invention provides a method for managing an energy storage wireless BMS system. Figure 3 As shown, Figure 3 This is a flow chart of a method for managing an energy storage wireless BMS system provided by an embodiment of the present application. Figure 3 It can be seen that the energy storage wireless BMS system management method includes the following steps S310 to S320.

[0051] S310: Receive status parameters of each battery unit sent by each battery management unit via the first wireless communication module.

[0052] S320: Analyze the state parameters of each battery cell based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery cell.

[0053] In one embodiment, the state parameters of each battery cell are analyzed based on a preset decision rule to obtain a charge and discharge strategy for each battery cell, including:

[0054] For any battery cell, the state of charge, health status and temperature of the battery cell are calculated based on the state parameters of the battery cell respectively; the charge and discharge current of the battery cell under the current state parameters is optimized according to the preset objective function; and the charge and discharge strategy of the battery cell is adjusted according to the optimized charge and discharge current.

[0055] In one embodiment, the state parameter includes: battery current; determining the state of charge of the battery cell based on the state parameters of the battery cell includes: determining the state of charge at the current moment according to the battery current at the current moment, the standard capacity of the battery cell, and the sampling time interval. Specifically, the state of charge of the battery cell is expressed as:

[0056]

[0057] in, is the state of charge of battery cell i at the current time t, is the state of charge of battery cell i at time t-1, is the battery current at the current moment t, is the sampling time interval, is the standard capacity of the battery cell.

[0058] In one embodiment, the state parameter further includes battery capacity; determining the health state of the battery cell based on the state parameters of the battery cell includes: determining the health state of the battery cell based on the current battery capacity and the standard capacity of the battery cell. Specifically, the health state of the battery cell is expressed as: ;

[0059] in, is the health status value of the battery cell at the current moment, The battery capacity at the current moment.

[0060] In one embodiment, the state parameters also include the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the ambient temperature. The temperature of the battery cell is determined based on the state parameters of the battery cell, including: determining the temperature of the battery cell according to the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the ambient temperature.

[0061] Specifically, the temperature of the battery cell is expressed as:

[0062]

[0063] in, is the temperature of the ith battery cell at the current moment t, m is the weight of the ith battery cell, is the internal resistance of the i-th battery cell, is the heat dissipation coefficient of the i-th battery cell, is the ambient temperature.

[0064] In one embodiment, the preset objective function is expressed as:

[0065]

[0066] in, is the average state of charge of all battery cells, Indicates the SOC of the i-th battery cell and the average The difference is used to achieve SOC balance. is the average temperature of all battery cells, Indicates the difference between the temperature of the i-th battery cell and the average temperature, which is used to reduce the battery temperature difference and prevent thermal runaway. is the preset target value of the battery cell health status, Represents the difference between the i-th battery cell and the target value of the battery cell health state, which is used to match the battery charge and discharge current with the health state; Represents the energy loss of the i-th battery cell during the charging and discharging process.

[0067] , , are the weight factors representing the charge state balance, temperature balance and energy loss respectively.

[0068] Optimizing the charge and discharge currents of battery cells under current state parameters based on a preset objective function involves: constraining the preset objective function based on constraints to minimize the objective function; and calculating the charge and discharge currents of each battery cell under the current state parameters based on the minimized objective function. The objective function depends on the current system state (SOC, temperature, health, current) at the current time t, representing a multi-objective minimization optimization problem.

[0069] Specifically, the objective function is to achieve SOC balance by minimizing the charge and discharge current of each battery cell. The term represents the difference between the SOC of the i-th battery cell and the average SOC of all batteries. By minimizing this term, the SOC of each battery cell can be balanced; The term represents the difference between the temperature of the i-th battery cell and the average temperature. Minimizing this term helps reduce the temperature difference between battery cells and avoid thermal runaway. The term represents the difference between the i-th battery cell and the target value of the battery cell health state. By minimizing this term, it is ensured that battery cells with higher health states operate at higher charge and discharge currents, while battery cells with lower health states operate at lower charge and discharge currents, thereby reducing battery cell aging and reducing heat loss caused by internal resistance. The term represents the energy loss of the i-th battery cell during the charge and discharge process. By minimizing this term, the heat loss caused by the internal resistance can be reduced.

[0070] In this application, in order to optimize the charge and discharge current of a battery cell, the charge and discharge current of each battery cell is calculated based on the minimized objective function by minimizing a preset objective function. Specifically, the objective function can be processed using a gradient descent method to obtain the charge and discharge current. For example, for the i-th battery cell, the charge and discharge current is expressed as:

[0071]

[0072] in, represents the charge and discharge current of the i-th battery cell, is the learning rate, which is used to control the step size of gradient descent, J is the objective function, Represents the objective function J for the current of the i-th battery cell The partial derivative of is used to measure the impact of the current on the objective function J, that is, to express the changing trend of the objective function when the current changes.

[0073] The gradient descent method automatically determines the current size and direction of each battery under the influence of the objective function. The optimized charge and discharge current is positive, indicating that the battery needs to be "input current", that is, charging; the optimized charge and discharge current is negative, indicating that the battery needs to be "output current", that is, discharging.

[0074] Adjusting the charge and discharge strategy of the battery cell according to the optimized charge and discharge current includes: if the optimized charge and discharge current of a battery cell is greater than 0, controlling the battery cell to charge based on the optimized charge and discharge current; if the optimized charge and discharge current of a battery cell is less than 0, controlling the battery cell to discharge based on the optimized charge and discharge current.

[0075] S330: Sending the charge and discharge strategy to the battery management unit based on the second wireless communication module, so that the battery management unit optimizes the charge and discharge process of each battery cell based on the charge and discharge strategy; the state parameters are sent by the battery management unit through the first wireless communication module, including the state parameters of each battery cell in the energy storage system.

[0076] The beneficial effects of the embodiments of the present application include: the battery management unit monitors and transmits the status parameters of each battery cell in the energy storage system via a first wireless communication module; the control unit analyzes the status parameters of each battery cell based on preset decision rules, obtains a charge-discharge strategy for optimizing each battery cell, and then transmits the corresponding charge-discharge strategy to the battery management unit via a second wireless communication module, so that the battery management unit optimizes the charge-discharge process of each battery cell according to the charge-discharge strategy. Wireless communication technology enables real-time monitoring and management of battery status, improving the system's flexibility, scalability, and operational efficiency while ensuring high data reliability and low transmission latency.

[0077] See Figure 4 , Figure 4 Schematic diagram of an energy storage wireless BMS system management device provided in one embodiment of the present application. The energy storage wireless BMS system management device includes modules or units for executing Figure 3 Each step in the corresponding embodiment. Please refer to Figure 3 For the convenience of explanation, only the parts related to this embodiment are shown. Figure 4 , the energy storage wireless BMS system management device 400 includes:

[0078] An analysis module 410 is configured to analyze the state parameters of each battery cell based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery cell;

[0079] The second wireless communication module 420 is used to send the charging and discharging strategy to the battery management unit so that the battery management unit optimizes the charging and discharging process of each battery cell based on the charging and discharging strategy; the state parameters are sent by the battery management unit through the first wireless communication module, including the state parameters of each battery cell in the energy storage system.

[0080] In one embodiment, the analysis module 410 includes:

[0081] a first calculation unit, configured to calculate, for any battery cell, a state of charge, a state of health, and a temperature value of the battery cell based on the state parameters of the battery cell;

[0082] A second calculation unit is used to optimize the charge and discharge current of the battery unit under the current state parameters according to a preset objective function;

[0083] The adjustment unit is used to adjust the charge and discharge strategy of the battery unit according to the optimized charge and discharge current.

[0084] In one embodiment, the state parameter includes: battery current; the analysis module 410 is specifically configured to determine the current state of charge according to the current battery current and the standard capacity of the battery unit and the sampling time interval.

[0085] In one embodiment, the state parameter further includes battery capacity; the analysis module 410 is specifically configured to determine the health state of the battery cell according to the current battery capacity and the standard capacity of the battery cell.

[0086] In one embodiment, the state parameters also include the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the battery temperature. The analysis module 410 is specifically used to determine the temperature value of the battery cell based on the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the battery temperature.

[0087] See Figure 5 , Figure 5 This is a schematic diagram of an energy storage wireless BMS system management device provided by an embodiment of the present application. Figure 5 It can be seen that the energy storage wireless BMS system management device 500 includes: a second wireless communication module 420, a processor 510, a memory 520, and a computer program 530 stored in the memory 520 and executable on the processor 510; when the processor 510 executes the computer program 530, the steps in the above-mentioned embodiments of the energy storage wireless BMS system management method are implemented, such as Figure 3 Alternatively, when the processor 510 executes the computer program 530, the functions of the modules / units in the above-mentioned device embodiments are realized, for example, Figure 4 Functions of modules 410 to 420 are shown.

[0088] Exemplarily, the computer program 530 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 520 and executed by the processor 510 to complete the present application. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program 530 in the energy storage wireless BMS system management device. For example, the computer program 530 can be divided into an analysis module, which is used to analyze the state parameters of each battery cell based on a preset decision rule, obtain an optimized charge and discharge strategy for each battery cell, and send the charge and discharge strategy to the battery management unit through the second wireless communication module, so that the battery management unit optimizes the charge and discharge process of each battery cell based on the charge and discharge strategy; the state parameters are sent by the battery management unit through the first wireless communication module, including the state parameters of each battery cell in the energy storage system.

[0089] The energy storage wireless BMS system management device provided in this embodiment may include, but is not limited to, a second wireless communication module, a processor, and a memory. Those skilled in the art will understand that Figure 5 The diagram is merely an example of an energy storage wireless BMS system management device and does not constitute a limitation on the energy storage wireless BMS system management device. The diagram may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the energy storage wireless BMS system management device may also include input and output devices, network access devices, buses, etc.

[0090] The processor 510 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0091] The memory 520 can be an internal storage unit of the energy storage wireless BMS system management device, such as a hard drive or memory of the energy storage wireless BMS system management device. The memory 520 can also be an external storage device of the energy storage wireless BMS system management device, such as a plug-in hard drive, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the energy storage wireless BMS system management device can include both an internal storage unit and an external storage device. The memory 520 is used to store the computer program and other programs and data required by the energy storage wireless BMS system management device. The memory 520 can also be used to temporarily store data that has been output or is about to be output.

[0092] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0093] An embodiment of the present application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps of any of the above-mentioned method embodiments when executing the computer program.

[0094] An embodiment of the present application 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, the steps in the above-mentioned various method embodiments can be implemented.

[0095] An embodiment of the present application provides a computer program product. When the computer program product is run on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned various method embodiments when executing the computer program product.

[0096] If the integrated unit is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the process steps in the above-mentioned method embodiments by using a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a camera / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, removable hard drives, magnetic disks, or optical disks. In some jurisdictions, based on legislation and patent practice, computer-readable media cannot be electric carrier signals or telecommunication signals.

[0097] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0098] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0099] In the embodiments provided in this application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0100] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0101] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for managing an energy storage wireless BMS system, characterized in that: include: receiving a status parameter of each battery unit sent by each battery management unit through the first wireless communication module; For any battery cell, the state of charge, state of health, and temperature of the battery cell are determined based on the state parameters of the battery cell; and the charge and discharge current of the battery cell under the current state parameters is optimized according to a preset objective function; the preset objective function is expressed as: in, is the average state of charge of all battery cells, Indicates the SOC of the i-th battery cell and the average The difference is used to achieve SOC balance. is the average temperature of all battery cells, Indicates the difference between the temperature of the i-th battery cell and the average temperature, which is used to reduce the battery temperature difference and prevent thermal runaway. S0H target is the preset target value of the battery cell health status (SOH i -SOH target ) 2 Represents the difference between the i-th battery cell and the target value of the battery cell health state, which is used to match the battery charge and discharge current with the health state; represents the energy loss of the i-th battery cell during the charge and discharge process; w1, w2, and w3 are weight factors representing the charge state balance, temperature balance, and energy loss, respectively; The objective function is processed by the gradient descent method to obtain the charge and discharge current. For the i-th battery cell, the charge and discharge current is expressed as: in, represents the charge and discharge current of the i-th battery cell, φ is the learning rate, which is used to control the step size of the gradient descent, and J is the objective function. Represents the objective function J for the i-th battery cell current I i The partial derivative of is used to measure the influence of the current on the objective function J, that is, to express the changing trend of the objective function when the current changes; Adjusting the charge and discharge strategy of the battery cell according to the optimized charge and discharge current, if the optimized charge and discharge current of a battery cell is greater than 0, controlling the battery cell to be charged based on the optimized charge and discharge current; if the optimized charge and discharge current of a battery cell is less than 0, controlling the battery cell to be discharged based on the optimized charge and discharge current; The charging and discharging strategy is sent to each battery management unit based on the second wireless communication module, so that each battery management unit optimizes the charging and discharging process of each battery unit based on the charging and discharging strategy; the first wireless communication module and the second wireless communication module adopt a low-power protocol, and the signal strength and frequency of the transmission can be dynamically adjusted.

2. The energy storage wireless BMS system management method according to claim 1, characterized in that: The state parameters include: battery current; The determining the state of charge of the battery cells based on the state parameters of the battery cells respectively includes: determining the state of charge at the current moment according to the battery current at the current moment, the standard capacity of the battery cell, and a sampling time interval.

3. The energy storage wireless BMS system management method according to claim 2, characterized in that: The state parameters also include battery capacity; determining the health state of the battery cell based on the state parameters of the battery cell respectively includes: determining the health state of the battery cell according to the battery capacity at the current moment and the standard capacity of the battery cell.

4. The energy storage wireless BMS system management method according to claim 3, characterized in that: The state parameters also include the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the battery temperature. Determining the temperature value of the battery cell based on the state parameters of the battery cell includes: determining the temperature value of the battery cell according to the weight of the battery cell, the internal resistance of the battery cell, the heat dissipation coefficient of the battery cell and the battery temperature.

5. A wireless BMS system for energy storage, characterized in that: include: A battery management unit, configured to monitor status parameters of each battery cell in the energy storage system and transmit the status parameters to the control unit via the first wireless communication module; A first wireless communication module, used to implement wireless data transmission between the battery management unit and the control unit; A control unit is configured to determine, for any battery cell, the state of charge, state of health, and temperature of the battery cell based on the state parameters of the battery cell; optimize the charge and discharge current of the battery cell under the current state parameters according to a preset objective function; and adjust the charge and discharge strategy of the battery cell according to the optimized charge and discharge current; the preset objective function is expressed as: in, is the average state of charge of all battery cells, Indicates the SOC of the i-th battery cell and the average The difference is used to achieve SOC balance. is the average temperature of all battery cells, Indicates the difference between the temperature of the i-th battery cell and the average temperature, which is used to reduce the battery temperature difference and prevent thermal runaway. SOH target is the preset target value of the battery cell health status (SOH i -SOH target ) 2 Represents the difference between the i-th battery cell and the target value of the battery cell health state, which is used to match the battery charge and discharge current with the health state; represents the energy loss of the i-th battery cell during the charging and discharging process; w1, w2, and w3 are weight factors representing the charge state balance, temperature balance, and energy loss, respectively; the charging and discharging strategy is sent to the battery management unit through the second wireless communication module, so that the battery management unit optimizes the charging and discharging process of each battery cell based on the charging and discharging strategy; the first wireless communication module and the second wireless communication module adopt a low-power protocol, and the transmission signal strength and frequency can be dynamically adjusted.

6. The energy storage wireless BMS system according to claim 5, characterized in that: The battery management unit also includes an energy optimization module, a safety protection module and a battery pack interface module; The energy optimization module is used to perform energy scheduling and optimization based on the state parameters; The safety protection module is used to monitor the operating status of each battery unit and generate protection measures according to the operating status; The battery pack interface module is connected to each of the battery cells and is used to collect the status parameters.

7. The energy storage wireless BMS system according to claim 6, characterized in that: The first wireless communication module or the second wireless communication module both include Zigbee, LoRa, Wi-Fi or 5G.

8. A wireless BMS system management device for energy storage, characterized in that: include: A second wireless communication module, a processor, a memory, and a computer program stored in the memory and executable on the processor; the second wireless communication module is communicatively connected to the first wireless communication module of the battery management unit, and the processor implements the method described in any one of claims 1 to 4 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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