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

Abstract

The invention discloses an energy storage wireless BMS system management method, system and device, and a storage medium. The method comprises the following steps: receiving state parameters of each battery unit sent by each battery management unit through a first wireless communication module; analyzing the state parameter of each battery unit based on a preset decision rule to obtain a charging and discharging strategy for optimizing each battery unit; and sending the charging and discharging strategy to each battery management unit based on the second wireless communication module, so that each battery management unit optimizes the respective charging and discharging process based on the charging and discharging strategy. The operation state of each battery unit can be evaluated and optimized from the system level, the safety and the use efficiency of the battery system are improved, and the service life of the battery system is prolonged.

Description

Technical Field

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

[0002] With the rapid development of the new energy field, energy storage systems have become an important technical means to solve the problems of volatility and intermittency of renewable energy. As the core component of the energy storage system, the battery management system (BMS) undertakes tasks such as monitoring the battery state, optimizing charge and discharge control, and protecting the battery safety. Traditional BMS systems mostly rely on wired connections, which have problems such as complex installation, difficult maintenance, and inconvenient wiring.

[0003] In addition, with the development of wireless communication technology, battery management solutions based on wireless transmission have gradually been proposed to improve the flexibility and intelligence level of the BMS system. However, in a battery system composed of multiple battery units (such as an electric vehicle battery pack, an energy storage system, etc.), it is usually necessary to coordinate the management of each battery unit to ensure the safety, efficiency and service life of the overall system. In the prior art, the battery management system often adopts static or empirical strategies for charge and discharge regulation, lacking systematic evaluation and optimization of the performance of different battery units, which affects the safety, use efficiency and life of the battery system. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a management method, system, device and storage medium for an energy storage wireless BMS system, which can evaluate and optimize the operating state of each battery unit from the system level, and improve the safety, use efficiency and life of the battery system.

[0005] The first aspect of the embodiments of the present invention provides a management method for an energy storage wireless BMS system, including: Receiving the state parameters of each battery unit sent by each battery management unit through the first wireless communication module; Analyzing the state parameters of each battery unit based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery unit; Sending the charge and discharge strategy to each battery management unit based on the second wireless communication module, so that each battery management unit optimizes the charge and discharge process of each battery unit based on the charge and discharge strategy.

[0006] In an embodiment, the analyzing the state parameters of each battery unit based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery unit includes: For any battery unit, respectively determining the state of charge, health state and temperature of the battery unit based on the state parameters of the battery unit; Optimize the charge and discharge current of the battery cell under the current state parameters according to a preset objective function; Adjust the charge and discharge strategy of the battery cell according to the optimized charge and discharge current.

[0007] In one embodiment, the state parameters include: battery current; Determining the state of charge of the battery cell respectively 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.

[0008] In one embodiment, the state parameters further include battery capacity; determining the health state of the battery cell respectively based on the state parameters of the battery cell 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.

[0009] In one embodiment, the state parameters further 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 respectively 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.

[0010] A second aspect of the embodiments of the present application provides an energy storage wireless BMS system, including: A battery management unit, configured to monitor the state parameters of each battery cell in the energy storage system, and transmit the state parameters to the control unit through a first wireless communication module; A first wireless communication module, configured to implement wireless data transmission between the battery management unit and the control unit; A control unit, configured to analyze the state parameters based on a preset decision rule, 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.

[0011] In one embodiment, the battery management unit further includes an energy optimization module, a safety protection module, and a battery pack interface module; The energy optimization module is configured to perform energy scheduling and optimization based on the state parameters; The safety protection module is configured to monitor the operating state of each battery cell and generate protection measures according to the operating state; The battery pack interface module is connected to each battery cell and is configured to collect the state parameters.

[0012] 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.

[0013] The third aspect of the embodiments of the present invention provides an energy storage wireless BMS system management device, including: An analysis module, configured to analyze the state parameters of each battery unit based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery unit; A second wireless communication module, configured to send the charge and discharge strategy to the battery management unit so that the battery management unit optimizes the charge and discharge process of each battery unit based on the charge and discharge strategy; the state parameters are sent by the battery management unit through the first wireless communication module and include the state parameters of each battery unit in the energy storage system.

[0014] The fourth aspect of the embodiments of the present invention provides an energy storage wireless BMS system management device, including: 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 when the processor executes the computer program, the method described in the second aspect above is implemented.

[0015] The fifth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect above is implemented.

[0016] The embodiments of the present application provide an energy storage wireless BMS system management method, system, device, and storage medium, which analyze the state parameters of each battery unit based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery unit; send the charge and discharge strategy to each battery management unit so that each battery management unit optimizes its own charge and discharge process based on the charge and discharge strategy. It can evaluate and optimize the operating state of each battery unit from the system level, improving the safety, usage efficiency, and lifespan of the battery system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic structural diagram of an energy storage wireless BMS system provided by an embodiment of the present application; Figure 2 Structural schematic diagram of a battery management unit provided by an embodiment of the present application; Figure 3 Flow schematic diagram of a management method for an energy storage wireless BMS system provided by an embodiment of the present application; Figure 4 Schematic diagram of a management device for an energy storage wireless BMS system provided by an embodiment of the present application; Figure 5 Schematic diagram of a management device for an energy storage wireless BMS system provided by an embodiment of the present application. Detailed implementation manners

[0019] The embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, so they are only examples and cannot be used to limit the protection scope of the present application.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field 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 accompanying drawings are intended to cover non-exclusive inclusion.

[0021] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality" is more than two unless otherwise specifically defined.

[0022] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0023] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the front and rear associated objects.

[0024] In the description of the embodiments of the present application, the term "multiple frames" refers to two or more (including two).

[0025] In the description of the embodiments of the present application, the orientation or positional relationship indicated by technical terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the embodiments of the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation on the embodiments of the present application.

[0026] The first aspect of the embodiments of the present invention provides an energy storage wireless BMS system. Please refer to Figure 1 as shown Figure 1 which is a schematic structural diagram of the energy storage wireless BMS system provided by an embodiment of the present application. As can be seen from Figure 1 the energy storage wireless BMS system 100 includes: a battery management unit 110, configured to monitor the state parameters of each battery unit 120 in the energy storage system, and transmit the state parameters of each battery unit 120 to the control unit 140 through the first wireless communication module 130; the first wireless communication module 130, configured to implement wireless data transmission between the battery management unit 110 and the control unit 140; the control unit 140, configured to analyze the state parameters of each battery unit 120 based on a preset decision rule, obtain a charge and discharge strategy for optimizing each battery unit 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 unit 120 based on the charge and discharge strategy.

[0027] 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 that adopt low-power and high-efficiency wireless protocols such as Zigbee, LoRa, Wi-Fi, or 5G.

[0028] It should be noted that in the present application, data transmission uses 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.

[0029] Exemplarily, as Figure 2 shown Figure 2 which is a schematic structural diagram of the battery management unit provided by an embodiment of the present application. As can be seen from Figure 2It 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 state parameters of each battery cell 120; the safety protection module 220 is used to monitor the operating state of each battery cell 120 and generate protection measures according to the operating state of each battery cell 120; the battery pack interface module 230 is connected to each battery cell 120 and is used to collect the state parameters of each battery cell 120.

[0030] The energy optimization module is used to perform energy scheduling and optimization to improve 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 protection 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.

[0031] 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 A flow chart of a method for managing a wireless BMS system for energy storage provided in one 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.

[0032] S310: receiving status parameters of each battery unit sent by each battery management unit via the first wireless communication module.

[0033] 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.

[0034] 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 optimizing each battery cell, including: For any battery cell, the state of charge, health state 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 are 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.

[0035] 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 respectively includes: determining the state of charge at the current moment according to the battery current at the current moment and the standard capacity of the battery cell and the sampling time interval. Specifically, the state of charge of the battery cell is expressed as: Among them, is the state of charge of battery cell i at the current moment t, is the state of charge of battery cell i at moment t - 1, is the battery current at the current moment t, is the sampling time interval, is the standard capacity of the battery cell.

[0036] In one embodiment, the state parameters further include the battery capacity; based on the state parameters of the battery cell respectively, the health state of the battery cell is determined, including: 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. Specifically, the health state of the battery cell is expressed as: ; Among them, is the health state value of the battery cell at the current moment, is the battery capacity at the current moment.

[0037] In one embodiment, the state parameters further 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. Based on the state parameters of the battery cell respectively, the temperature of the battery cell is determined, 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.

[0038] Specifically, the temperature of the battery cell is expressed as: Among them, is the temperature of the i-th battery cell at the current moment t, m is the weight of the i-th 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.

[0039] In one embodiment, the preset objective function is expressed as: Among them, is the average state of charge of all battery cells, represents the difference between the SOC of the i-th battery cell and the average for achieving SOC balance, is the average temperature of all battery cells, represents the difference between the temperature of the i-th battery cell and the average temperature, used to reduce the battery temperature difference and prevent thermal runaway, is the preset target value of the health state of the battery cell, Represents the difference between the i-th battery cell and the target value of the battery cell health state, which is used to achieve the matching of the battery charge and discharge current and the health state; Represents the energy loss of the i-th battery cell during charge and discharge.

[0040] , , Are the weight factors representing the state of charge balance, temperature balance, and energy loss respectively.

[0041] Optimize the charge and discharge current of the battery cell under the current state parameters according to the preset objective function, including: constraining the preset objective function based on the constraint conditions and minimizing the objective function; calculating the charge and discharge current of each battery cell under the current state parameters according to the minimized objective function. The objective function is a function of the current system state (SOC, temperature, health, current) at the current moment t, representing a multi-objective minimization optimization problem.

[0042] Specifically, the meaning of 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 to 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 the battery cells with a higher health state work at a higher charge and discharge current, while the battery cells with a poorer health state work at a lower charge and discharge current, thereby reducing the aging of the battery cells and the heat loss caused by internal resistance; The term represents the energy loss of the i-th battery cell during charge and discharge. By minimizing this term, the heat loss caused by internal resistance is reduced.

[0043] In this application, in order to optimize the charge and discharge current of the battery cell, by minimizing the preset objective function, the charge and discharge current of each battery cell is calculated according to the minimized objective function. Specifically, the objective function can be processed by the 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: Where, 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 the gradient descent. J is the objective function, Represents the objective function J with respect to the current of the i-th battery cell The partial derivative of

[0044] Under the influence of the objective function through the gradient descent method, the magnitude and direction of the current of each battery are automatically determined; the optimized charge and discharge current is positive, indicating that "current needs to be input into the battery", that is, charging; the optimized charge and discharge current is negative, indicating that "current needs to be output from the battery", that is, discharging.

[0045] Adjust the charge and discharge strategy of the battery unit according to the optimized charge and discharge current, including: if the optimized charge and discharge current of a battery unit is greater than 0, control the battery unit to charge based on the optimized charge and discharge current; if the optimized charge and discharge current of a battery unit is less than 0, control the battery unit to discharge based on the optimized charge and discharge current.

[0046] S330: Send 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 unit 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 unit in the energy storage system.

[0047] The beneficial effects of the embodiments of the present application: The battery management unit monitors and sends the state parameters of each battery unit in the energy storage system through the first wireless communication module. The control unit analyzes the state parameters of each battery unit based on the preset decision rules, obtains the charge and discharge strategy for optimizing each battery unit, and then sends the corresponding 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 unit according to the charge and discharge strategy. It can realize the real-time monitoring and management of the battery state through wireless communication technology, improve the flexibility, scalability and operation efficiency of the system, and at the same time ensure the high reliability of data and the low latency of transmission.

[0048] Please refer to Figure 4 , Figure 4 which is a schematic diagram of an energy storage wireless BMS system management device provided by an embodiment of the present application. Each module or unit included in the energy storage wireless BMS system management device is used to execute Figure 3 the respective steps in the corresponding embodiments. Specifically, please refer to Figure 3 the relevant descriptions in the corresponding embodiments. For the sake of convenience of description, only the parts related to this embodiment are shown. Refer to Figure 4 ,the energy storage wireless BMS system management device 400 includes: An analysis module 410, configured to analyze the state parameters of each battery unit based on a preset decision rule to obtain a charge and discharge strategy for optimizing each battery unit; A second wireless communication module 420 is configured to send the charge and discharge strategy to the battery management unit, so that the battery management unit optimizes the charge and discharge processes 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, and include the state parameters of each battery cell in the energy storage system.

[0049] In one embodiment, the analysis module 410 includes: A first calculation unit, configured to calculate the state of charge, health state, and temperature value of a battery cell respectively based on the state parameters of the battery cell for any battery cell; A second calculation unit, configured to optimize the charge and discharge current of the battery cell under the current state parameters according to a preset objective function; An adjustment unit, configured to adjust the charge and discharge strategy of the battery cell according to the optimized charge and discharge current.

[0050] In one embodiment, the state parameters include: battery current; the analysis module 410 is specifically configured to: determine 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.

[0051] In one embodiment, the state parameters further include battery capacity; the analysis module 410 is specifically configured to: determine the health state of the battery cell according to the battery capacity at the current moment and the standard capacity of the battery cell.

[0052] In one embodiment, the state parameters further 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 configured to: determine 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.

[0053] Please refer to Figure 5 , Figure 5 which is a schematic diagram of an energy storage wireless BMS system management device provided by an embodiment of the present application. As Figure 5 shown, 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 various embodiments of the energy storage wireless BMS system management method are implemented, such as Figure 3 the steps S310 to S320 shown. Alternatively, when the processor 510 executes the computer program 530, the functions of each module / unit in the above-mentioned device embodiments are implemented, such as Figure 4 the functions of the modules 410 to 420 shown.

[0054] Exemplarily, the computer program 530 may be divided into one or more modules / units, which are stored in the memory 520 and executed by the processor 510 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these 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 may be divided into an analysis module, which is used to analyze the state parameters of each battery unit based on a preset decision rule, obtain a charge and discharge strategy for optimizing each battery unit, 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 unit based on the charge and discharge strategy; the state parameters are sent by the battery management unit through the first wireless communication module and include the state parameters of each battery unit in the energy storage system.

[0055] 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 can understand that Figure 5 merely examples of the energy storage wireless BMS system management device, which do not constitute a limitation on the energy storage wireless BMS system management device, may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the energy storage wireless BMS system management device may also include input / output devices, network access devices, buses, etc.

[0056] The so-called processor 510 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0057] The memory 520 may be an internal storage unit of the energy storage wireless BMS system management device, such as a hard disk or memory of the energy storage wireless BMS system management device. The memory 520 may also be an external storage device of the energy storage wireless BMS system management device, such as a plug-in hard disk equipped on the energy storage wireless BMS system management device, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the energy storage wireless BMS system management device may also include both an internal storage unit of the energy storage wireless BMS system management device 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 may also be used to temporarily store data that has been output or will be output.

[0058] It should be noted that for the information interaction, execution process, etc. between the above-mentioned devices / units, since they are based on the same concept as the method embodiments of the present application, for their specific functions and the technical effects brought, please refer to the method embodiment part for details, and will not be elaborated here.

[0059] An embodiment of the present application further 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, and when the processor executes the computer program, the steps in any of the above method embodiments are implemented.

[0060] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps in each of the above method embodiments can be implemented.

[0061] An embodiment of the present application provides a computer program product, and when the computer program product runs on a mobile terminal, the mobile terminal is enabled to implement the steps in each of the above method embodiments when executed.

[0062] When the integrated unit 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. Based on this understanding, to implement all or part of the processes in the above method embodiments of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device capable of carrying the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0063] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0064] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0065] In the embodiments provided in this application, it should be understood that the disclosed device / network device and method can be implemented in other ways. For example, the device / network device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0066] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] The above-described embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application and should all be included within the protection scope of the present application.

Claims

1. A management method for an energy storage wireless BMS system, characterized in that, including: Receiving the state parameters of each battery unit sent by each battery management unit through the first wireless communication module; Analyzing the state parameters of each battery unit based on a preset decision rule to obtain a charge-discharge strategy for optimizing each battery unit; Sending the charge-discharge strategy to each battery management unit based on the second wireless communication module, so that each battery management unit optimizes the charge-discharge process of each battery unit based on the charge-discharge strategy.

2. The energy storage wireless BMS system management method according to claim 1, wherein The analyzing the state parameters of each battery unit based on a preset decision rule to obtain a charge-discharge strategy for optimizing each battery unit includes: For any battery unit, respectively determining the state of charge, health state, and temperature value of the battery unit based on the state parameters of the battery unit; Optimizing the charge-discharge current of the battery unit under the current state parameters according to a preset objective function; Adjusting the charge-discharge strategy of the battery unit according to the optimized charge-discharge current.

3. The energy storage wireless BMS system management method according to claim 2, characterized in that, The state parameters include: battery current; The respectively determining the state of charge of the battery unit based on the state parameters of the battery unit 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 unit, and the sampling time interval.

4. The energy storage wireless BMS system management method according to claim 3, wherein The state parameters further include battery capacity; the respectively determining the health state of the battery unit based on the state parameters of the battery unit includes: determining the health state of the battery unit according to the battery capacity at the current moment and the standard capacity of the battery unit.

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

6. A wireless BMS system for energy storage, characterized in that, including: A battery management unit, configured to monitor the state parameters of each battery unit in the energy storage system and transmit the state parameters to the control unit through the first wireless communication module; The first wireless communication module, configured to implement wireless data transmission between the battery management unit and the control unit; The control unit, configured to analyze the state parameters based on a preset decision rule to obtain a charge-discharge strategy for optimizing each battery unit, and send the charge-discharge strategy to the battery management unit through the second wireless communication module, so that the battery management unit optimizes the charge-discharge process of each battery unit based on the charge-discharge strategy.

7. The energy storage wireless BMS system according to claim 6, wherein, The battery management unit further includes an energy optimization module, a safety protection module, and a battery pack interface module; The energy optimization module, configured to perform energy scheduling and optimization based on the state parameters; The safety protection module, configured to monitor the operating state of each battery unit and generate protection measures according to the operating state; The battery pack interface module, connected to each battery unit, configured to collect the state parameters.

8. The energy storage wireless BMS system according to claim 6, wherein The first wireless communication module or the second wireless communication module includes but is not limited to Zigbee, LoRa, Wi-Fi, or 5G.

9. A management device for an energy storage wireless BMS system, characterized in that, including: 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 a first wireless communication module of a battery management unit, and when the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the method according to any one of claims 1 to 5 is implemented.

Images