Industrial and commercial energy storage system and controller for battery and energy management

Abstract

The invention discloses an industrial and commercial energy storage system and controller for battery and energy management, and relates to the technical field of energy management, and the industrial and commercial energy storage system comprises a battery information acquisition module, a factory charging energy storage analysis unit, a factory charging power processing unit and a local database. The mode of combining the station controller and the cluster controller is used, the original design of EMS + BMS + local controller + multiple switches is replaced, the design of the control system is optimized, the number of modules and the interface complexity are reduced, meanwhile, the LAN + CAN communication mode of the original system is replaced with the full-system LAN communication design, the real-time performance and efficiency of the system are improved, and in the charging process, the real-time performance of the system is improved. According to the method, the charging battery clusters of the liquid refrigerators of the station controller to which the factory belongs are monitored in real time, and the charging input power of the charging battery clusters of the liquid refrigerators of the station controller to which the factory belongs is dynamically adjusted, so that the occurrence rate of the problem of overlong charging time is reduced, and the battery use efficiency of the factory is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to an industrial and commercial energy storage system and controller for battery and energy management. Background Art

[0002] Energy storage and management are of great importance in modern factories. They need to monitor and manage the status of batteries as well as optimize energy management. However, existing factory energy storage systems still have many defects in energy storage and management. Therefore, it is necessary to optimize energy storage and management.

[0003] Prior art, such as the new energy storage application management method, application system, equipment and medium disclosed in the invention patent application with announcement number: CN117767498A, the method includes: multiple BMS battery management systems and EMS energy management systems are connected to the Internet and connected to a monitoring terminal, the monitoring terminal includes a server connected to the BMS battery management system and the EMS energy management system, the server is connected to an early warning device, a display screen and a PC terminal, and is wirelessly connected to a smart terminal. The EMS energy management system includes a data acquisition unit for collecting data from multiple PCS converters. This invention reasonably arranges the time and power of charging and discharging to maximize the utilization rate of new energy and the operating efficiency of the system.

[0004] Prior art, such as the invention patent application with announcement number: CN117394413A, discloses an energy storage system and a communication control method thereof, wherein the method comprises: a first data register is provided in the power conversion system PCS for storing relevant data of the battery management system BMS. The above scheme can ensure the normal communication between the energy management system EMS and the battery management system BMS when a fault occurs without changing the existing hardware communication link, realize effective management and scheduling of the energy storage system, effectively improve the stability and reliability of the system, and avoid the occurrence of aggravated faults and more serious safety hazards caused by communication interruption.

[0005] It can be seen from the above scheme that the current industrial and commercial energy storage system lacks certain attention to the use of simple integrated topology communication methods for energy management. The existing industrial and commercial energy storage system usually adopts the system design of EMS (energy management system) + BMS (battery management system) + local controller + multiple switches, and uses LAN (local area network) + CAN (controller area network) as the communication design. However, this design is too complicated and prone to the problem of too many interfaces, switches and wiring harnesses, which greatly increases the design cost of the system, reduces the overall communication rate, and reduces the real-time nature of energy storage analysis. At the same time, when charging the battery, there is a lack of attention to the dynamic charging input power adjustment. The battery is prone to produce many harmful gases and high temperature problems during use. Therefore, the battery needs to be ventilated and cooled. However, in this process, part of the charging power will be consumed, resulting in a decrease in the charging efficiency of the battery. If dynamic adjustment is not performed, the charging time is prone to be too long, thereby reducing the battery utilization efficiency of the factory. Summary of the invention

[0006] The purpose of the present invention is to provide an industrial and commercial energy storage system and controller for battery and energy management, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides an industrial and commercial energy storage system for battery and energy management, including: a battery information acquisition module, which is used to obtain the characteristic values ​​of each monitoring data of each energy storage battery cluster of each cluster of liquid cooling cabinets of the station controller belonging to the factory at the monitoring time point.

[0008] The factory charging energy storage analysis unit is used to screen each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller, and analyze the liquid cooling set power increase value and ventilation set power increase value of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller.

[0009] The factory charging energy storage analysis unit includes: a charging battery cluster analysis module, a battery cluster cooling analysis module and a battery cluster exhaust analysis module.

[0010] The rechargeable battery cluster analysis module is used to extract the remaining power value of each energy storage battery cluster of each cluster of liquid coolers of the station controller of the factory according to the characteristic value of each monitoring data of each energy storage battery cluster of each cluster of liquid coolers of the station controller of the factory, and obtain the remaining power value threshold from the local database. If the remaining power value of a certain energy storage battery cluster of a certain cluster of liquid coolers of the station controller of the factory is less than the remaining power value threshold, the energy storage battery cluster is marked as a rechargeable battery cluster, thereby screening the rechargeable battery clusters of each cluster of liquid coolers of the station controller of the factory.

[0011] The battery cluster cooling analysis module is used to analyze the liquid cooling set power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0012] The battery cluster exhaust analysis module is used to analyze the ventilation setting power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0013] The factory charging power processing unit is used to perform initial charging input power adjustment on each cluster of liquid cooling cabinets of the factory's station controller, obtain the characteristic values ​​of each monitoring data of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller at each charging monitoring time point, and dynamically adjust the charging input power through the station controller at each charging monitoring time point based on the characteristic values ​​of each monitoring data.

[0014] The factory charging power processing unit includes: a charging initial setting module, a charging process monitoring and analysis module, and a charging adjustment module.

[0015] The charging initial setting module is used to perform initial cooling settings and initial exhaust settings for each charging battery cluster through the station controller according to the liquid cooling set power increase value and ventilation set power increase value of each charging battery cluster of each cluster liquid cooling cabinet belonging to the factory, calculate the initial charging input power of each cluster liquid cooling cabinet of the station controller belonging to the factory, and adjust the initial charging input power of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0016] The charging process monitoring and analysis module is used to obtain the characteristic values ​​of each monitoring data of each charging battery cluster of each cluster liquid cooling cabinet of the factory station controller at each charging monitoring time point during the charging process of each cluster liquid cooling cabinet of the factory station controller.

[0017] The charging adjustment module is used to calculate the charging input power of each charging battery cluster of each cluster liquid cooling cabinet of the station controller of the factory at each charging monitoring time point according to the method of calculating the initial charging input power of each cluster liquid cooling cabinet of the station controller of the factory, and adjust the charging input power through the station controller at each charging monitoring time point accordingly.

[0018] A second aspect of the present invention provides a controller for industrial and commercial energy storage for battery and energy management, including: the controller stores one or more programs, and the one or more programs can be executed by one or more processors to implement the functions of a system for industrial and commercial energy storage for battery and energy management as described.

[0019] The beneficial effects of the present invention are as follows: (1) The battery information acquisition module of the present invention replaces the original EMS+BMS+local controller+multiple switches design by combining the station controller and the cluster controller, optimizes the design of the control system, reduces the number of modules and interface complexity, reduces costs, and improves the reliability and robustness of the system. At the same time, the full system LAN communication design replaces the LAN+CAN communication mode of the original system, improves the overall communication rate of the system, solves the problem of low CAN communication rate, improves the real-time performance and efficiency of the system, and saves structural space.

[0020] (2) The factory charging energy storage analysis unit of the present invention intelligently evaluates the power value required to start the ventilation and cooling functions by screening the charging battery clusters of each cluster of liquid cooling cabinets of the station controller belonging to the factory, based on their temperature values ​​and the concentration values ​​of each gas, thereby facilitating subsequent dynamic adjustment.

[0021] (3) The factory charging power processing unit of the present invention performs real-time monitoring of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller during the charging process, and dynamically adjusts the charging input power of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller according to the aging coefficient of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller, thereby reducing the occurrence rate of the problem of excessive charging time and improving the battery utilization efficiency of the factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a schematic diagram of the system module of the present invention.

[0024] Figure 2 This is a schematic diagram of the traditional communication topology connection method.

[0025] Figure 3 It is a schematic diagram of the communication topology connection mode of the present invention.

[0026] Legend: 1. Battery cluster with liquid cooling function, 2. Battery cluster with fire protection function, 3. Battery cluster with access control function. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Reference Figure 1 As shown, the first aspect of the present invention provides an industrial and commercial energy storage system for battery and energy management, including: a battery information acquisition module, a factory charging energy storage analysis unit, a factory charging power processing unit and a local database.

[0029] It should be noted that the battery information acquisition module is connected to the factory charging energy storage analysis unit, the factory charging energy storage analysis unit is connected to the factory charging power processing unit, and the local database is connected to the battery information acquisition module, the factory charging energy storage analysis unit, and the factory charging power processing unit.

[0030] It should also be noted that the local database is used to store the target cluster controller and its corresponding energy storage inverter, other cluster controllers and their corresponding energy storage inverters, remaining power value thresholds, preset temperature value thresholds, liquid cooling set power increase values ​​corresponding to each temperature hazard coefficient interval, hazard adjustment parameter values ​​of each gas and the corresponding concentration upper limit values ​​in each temperature value interval, ventilation set power increase values ​​corresponding to each gas hazard coefficient interval, initial charging input power, battery cluster capacity values ​​of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory after each historical charging, and aging charging input power reduction values ​​corresponding to each aging coefficient interval.

[0031] The battery information acquisition module is used to obtain the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory at the monitoring time point.

[0032] It should be noted that the characteristic values ​​of each monitoring data include: remaining power value, temperature value and concentration value of each gas.

[0033] It should also be noted that the gases include hydrogen, hydrogen chloride, sulfur dioxide and other gases.

[0034] In a specific embodiment of the present invention, the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooler of the station controller belonging to the factory is obtained by a specific acquisition method: the power supply status of each energy storage battery cluster and the characteristic value of each monitoring data are obtained by a cluster controller installed inside each cluster liquid cooler, and the cluster controller of each cluster liquid cooler is connected to the station controller through a predefined communication topology connection method, so as to obtain the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooler of the station controller belonging to the factory.

[0035] In a specific embodiment of the present invention, the predefined communication topology connection method is specifically as follows: obtaining the target cluster controller and its corresponding energy storage inverter, other cluster controllers and their corresponding energy storage inverters from a local database, connecting the target cluster controller with the corresponding energy storage inverter via a local area network communication method, and connecting the station controller with the target cluster controller via a local area network communication method.

[0036] The other cluster controllers are connected to the corresponding energy storage converters in a local area network communication manner, and the other cluster controllers are connected to the target cluster controller in a local area network communication manner.

[0037] In a specific embodiment, the topological connection mode between the station controller and each cluster controller of the present invention is different from the traditional topological connection mode. Figure 2 The figure shows the traditional communication topology connection method. The topology design is done by using EMS (energy management system) + BMS (battery management system) + local controller + multiple switches, and the communication design is done by LAN (local area network) + CAN (controller area network). Figure 3 As shown, it is a schematic diagram of the communication topology connection mode, in which the topology design is performed by combining the station controller and the cluster controller, and the communication design is performed by using integrated LAN communication.

[0038] It should be noted that Figure 2 and Figure 3 1, 2, and 3 in the figure represent the battery clusters for liquid cooling, fire protection, and access control, respectively. Figure 2 and Figure 3 The 1, 2, and 3 may also be used to refer to battery clusters with other functions, such as an electric meter function, a water intrusion function, etc., and the present invention is not limited thereto.

[0039] It should be noted that the target cluster controller is the first cluster controller in the order of numbering. Figure 2 As shown, cluster controller #1 is the target cluster controller.

[0040] The factory charging energy storage analysis unit is used to screen the charging battery clusters of each cluster of liquid cooling cabinets of the factory's station controller, and analyze the liquid cooling set power increase value and the ventilation set power increase value of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller.

[0041] In a specific embodiment of the present invention, the factory charging energy storage analysis unit includes: a charging battery cluster analysis module, a battery cluster cooling analysis module and a battery cluster exhaust analysis module.

[0042] The rechargeable battery cluster analysis module is used to extract the remaining power value of each energy storage battery cluster of each cluster of liquid coolers of the station controller of the factory according to the characteristic value of each monitoring data of each energy storage battery cluster of each cluster of liquid coolers of the station controller of the factory, and obtain the remaining power value threshold from the local database. If the remaining power value of a certain energy storage battery cluster of a certain cluster of liquid coolers of the station controller of the factory is less than the remaining power value threshold, the energy storage battery cluster is marked as a rechargeable battery cluster, thereby screening the rechargeable battery clusters of each cluster of liquid coolers of the station controller of the factory.

[0043] The battery cluster cooling analysis module is used to analyze the liquid cooling set power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0044] The battery cluster exhaust analysis module is used to analyze the ventilation setting power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0045] In a specific embodiment of the present invention, the liquid cooling power setting increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory is analyzed, and the specific analysis method is: according to the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory, the temperature value of each rechargeable battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory is extracted. , where x represents the number of each cluster of liquid coolers, , y is a positive integer greater than 2, n represents the number of each rechargeable battery cluster, , m is a positive integer greater than 2.

[0046] Obtain the preset temperature value threshold A from the local database and calculate the temperature hazard coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller belonging to the factory .

[0047] The liquid cooling power increase value corresponding to each temperature hazard coefficient interval is obtained from the local database, and the liquid cooling power increase value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller belonging to the factory is mapped.

[0048] In a specific embodiment of the present invention, the ventilation setting power increase value of each charging battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory is analyzed, and the specific analysis method is: according to the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory, the concentration value of each gas of each charging battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory is extracted. , where i represents the number of each gas, , j is a positive integer greater than 2.

[0049] Obtain the hazard adjustment parameter value of each gas from the local database and the concentration upper limit corresponding to each temperature value interval, and mapping the concentration upper limit of each gas in each rechargeable battery cluster of each cluster liquid cooler of the factory station controller according to the temperature value of each rechargeable battery cluster of each cluster liquid cooler of the factory station controller , calculate the gas hazard coefficient of each gas in each cluster of liquid coolers in each cluster of rechargeable battery clusters of the factory station controller , where e is represented by a natural constant.

[0050] Statistical gas hazard coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller of the factory .

[0051] The ventilation setting power increase value corresponding to each gas hazard coefficient interval is obtained from the local database, and the ventilation setting power increase value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller belonging to the factory is mapped.

[0052] The factory charging power processing unit is used to perform initial charging input power adjustment on each cluster of liquid cooling cabinets of the factory's station controller, obtain characteristic values ​​of each monitoring data of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller at each charging monitoring time point, and dynamically adjust the charging input power through the station controller at each charging monitoring time point based on the characteristic values.

[0053] In a specific embodiment, the characteristic values ​​of each monitoring data of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory at each charging monitoring time point are obtained by a specific acquisition method: the characteristic values ​​of each monitoring data of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory at each charging monitoring time point are obtained through a cluster controller installed inside each cluster liquid cooling cabinet.

[0054] In a specific embodiment of the present invention, the factory charging power processing unit includes: a charging initial setting module, a charging process monitoring and analysis module, and a charging regulation module.

[0055] The charging initial setting module is used to perform initial cooling settings and initial exhaust settings for each charging battery cluster through the station controller according to the liquid cooling set power increase value and ventilation set power increase value of each charging battery cluster of each cluster liquid cooling cabinet belonging to the factory, calculate the initial charging input power of each cluster liquid cooling cabinet of the station controller belonging to the factory, and adjust the initial charging input power of each cluster liquid cooling cabinet of the station controller belonging to the factory.

[0056] The charging process monitoring and analysis module is used to obtain the characteristic values ​​of each monitoring data of each charging battery cluster of each cluster liquid cooling cabinet of the factory station controller at each charging monitoring time point during the charging process of each cluster liquid cooling cabinet of the factory station controller.

[0057] The charging adjustment module is used to calculate the charging input power of each charging battery cluster of each cluster liquid cooling cabinet of the station controller of the factory at each charging monitoring time point according to the method of calculating the initial charging input power of each cluster liquid cooling cabinet of the station controller of the factory, and adjust the charging input power through the station controller at each charging monitoring time point accordingly.

[0058] In a specific embodiment of the present invention, the initial charging input power of each cluster of liquid cooling cabinets of the station controller of the factory is calculated by the specific calculation method as follows: obtaining the initial charging input power D from the local database, and calculating the aging charging input power reduction value of each charging battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory .

[0059] According to the factory station controller, the liquid cooling power setting value of each rechargeable battery cluster of each cluster liquid cooling cabinet is increased. and ventilation power setting increase value , calculate the initial charging input power of each cluster of liquid coolers of the factory station controller .

[0060] In a specific embodiment of the present invention, the aging charging input power reduction value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the factory is calculated by: obtaining the battery cluster capacity value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the factory after each historical charging from the local database , where p represents the number of each historical charge, , q is a positive integer greater than 2, calculate the aging coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller of the factory , where q represents the number of historical charging times.

[0061] The aging charging input power reduction value corresponding to each aging coefficient interval is obtained from the local database, and the aging charging input power reduction value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory is mapped.

[0062] It should be noted that the larger the aging coefficient, the greater the corresponding aging charging input power reduction value.

[0063] A second aspect of the present invention provides a controller for industrial and commercial energy storage for battery and energy management, including: the controller stores one or more programs, and the one or more programs can be executed by one or more processors to implement the functions of a system for industrial and commercial energy storage for battery and energy management as described.

[0064] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A system for industrial and commercial energy storage for batteries and energy management, characterized in that, include: The battery information acquisition module is used to obtain the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory at the monitoring time point; The factory charging energy storage analysis unit is used to screen each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller, and analyze the liquid cooling set power increase value and the ventilation set power increase value of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller; The factory charging power processing unit is used to perform initial charging input power adjustment on each cluster of liquid cooling cabinets of the factory's station controller, obtain the characteristic values ​​of each monitoring data of each charging battery cluster of each cluster of liquid cooling cabinets of the factory's station controller at each charging monitoring time point, and dynamically adjust the charging input power through the station controller at each charging monitoring time point based on the characteristic values ​​of each monitoring data.

2. A system for industrial and commercial energy storage for batteries and energy management according to claim 1, characterized in that: The specific acquisition method of obtaining the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory is as follows: The power supply status of each energy storage battery cluster and the characteristic values ​​of each monitoring data are obtained through the cluster controller installed inside each cluster liquid cooler, and the cluster controller of each cluster liquid cooler is connected to the station controller through a predefined communication topology connection method, so as to obtain the characteristic values ​​of each monitoring data of each energy storage battery cluster of each cluster liquid cooler of the station controller belonging to the factory.

3. A system for industrial and commercial energy storage for batteries and energy management according to claim 2, characterized in that: The predefined communication topology connection mode is specifically as follows: Obtain the target cluster controller and its corresponding energy storage converter, other cluster controllers and their corresponding energy storage converters from the local database, connect the target cluster controller with the corresponding energy storage converter in a local area network communication mode, and connect the station controller with the target cluster controller in a local area network communication mode; The other cluster controllers are connected to the corresponding energy storage converters in a local area network communication manner, and the other cluster controllers are connected to the target cluster controller in a local area network communication manner.

4. A system for industrial and commercial energy storage for batteries and energy management according to claim 1, characterized in that: The factory charging energy storage analysis unit includes: a charging battery cluster analysis module, a battery cluster cooling analysis module and a battery cluster exhaust analysis module; The rechargeable battery cluster analysis module is used to extract the remaining power value of each energy storage battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory according to the characteristic value of each monitoring data of each energy storage battery cluster of each cluster liquid cooling cabinet of each cluster station controller of the factory, obtain the remaining power value threshold from the local database, and if the remaining power value of a certain energy storage battery cluster of a certain cluster liquid cooling cabinet of the factory station controller is less than the remaining power value threshold, mark the energy storage battery cluster as a rechargeable battery cluster, thereby screening the rechargeable battery clusters of each cluster liquid cooling cabinet of the factory station controller; The battery cluster cooling analysis module is used to analyze the liquid cooling set power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory; The battery cluster exhaust analysis module is used to analyze the ventilation setting power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory.

5. A system for industrial and commercial energy storage for batteries and energy management according to claim 4, characterized in that: The specific analysis method of the liquid cooling power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the analysis factory is as follows: According to the characteristic values ​​of each monitoring data of each energy storage battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory, the temperature value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory is extracted. , where x represents the number of each cluster of liquid coolers, , y is a positive integer greater than 2, n represents the number of each rechargeable battery cluster, , m is a positive integer greater than 2; Obtain the preset temperature value threshold A from the local database and calculate the temperature hazard coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller belonging to the factory ; The liquid cooling power increase value corresponding to each temperature hazard coefficient interval is obtained from the local database, and the liquid cooling power increase value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller belonging to the factory is mapped.

6. A system for industrial and commercial energy storage for batteries and energy management according to claim 5, characterized in that: The specific analysis method of the ventilation setting power increase value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the analysis factory is as follows: According to the characteristic values ​​of each monitoring data of each energy storage battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory, the concentration values ​​of each gas of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory are extracted. , where i represents the number of each gas, , j is a positive integer greater than 2; Obtain the hazard adjustment parameter value of each gas from the local database and the corresponding concentration upper limit value in each temperature value interval, according to the temperature value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the factory, the concentration upper limit value of each gas of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the factory is mapped , calculate the gas hazard coefficient of each gas in each cluster of liquid coolers in each cluster of rechargeable battery clusters of the factory station controller , where e is represented as a natural constant; Statistical gas hazard coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller of the factory ; The ventilation setting power increase value corresponding to each gas hazard coefficient interval is obtained from the local database, and the ventilation setting power increase value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller belonging to the factory is mapped.

7. A system for industrial and commercial energy storage for batteries and energy management according to claim 5, characterized in that: The factory charging power processing unit includes: a charging initial setting module, a charging process monitoring and analysis module, and a charging adjustment module; The charging initial setting module is used to perform initial cooling setting and initial exhaust setting on each charging battery cluster through the station controller according to the liquid cooling setting power increase value and ventilation setting power increase value of each charging battery cluster of each cluster liquid cooling cabinet of the factory, calculate the initial charging input power of each cluster liquid cooling cabinet of the factory station controller, and adjust the initial charging input power of each cluster liquid cooling cabinet of the factory station controller; The charging process monitoring and analysis module is used to obtain the characteristic values ​​of each monitoring data of each charging battery cluster of each cluster liquid cooling cabinet of the factory station controller at each charging monitoring time point during the charging process of each cluster liquid cooling cabinet of the factory station controller; The charging adjustment module is used to calculate the charging input power of each charging battery cluster of each cluster liquid cooling cabinet of the station controller of the factory at each charging monitoring time point according to the method of calculating the initial charging input power of each cluster liquid cooling cabinet of the station controller of the factory, and adjust the charging input power through the station controller at each charging monitoring time point accordingly.

8. A system for industrial and commercial energy storage for batteries and energy management according to claim 7, characterized in that: The specific calculation method of the initial charging input power of each cluster of liquid cooling cabinets of the station controller belonging to the calculation factory is as follows: Obtain the initial charging input power D from the local database, and calculate the aging charging input power reduction value of each charging battery cluster of each cluster liquid cooling cabinet of the station controller of the factory ; According to the factory station controller, the liquid cooling power setting value of each rechargeable battery cluster of each cluster liquid cooling cabinet is increased. and ventilation power setting increase value , calculate the initial charging input power of each cluster of liquid coolers of the factory station controller .

9. A system for industrial and commercial energy storage for batteries and energy management according to claim 8, characterized in that: The specific calculation method of the aging charging input power reduction value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller of the factory is as follows: Obtain the battery cluster capacity value of each rechargeable battery cluster of each cluster of liquid cooling cabinets of the station controller of the factory after each historical charging from the local database , where p represents the number of each historical charge, , q is a positive integer greater than 2, calculate the aging coefficient of each rechargeable battery cluster of each cluster of liquid coolers of the station controller of the factory , where q represents the number of historical charging times; The aging charging input power reduction value corresponding to each aging coefficient interval is obtained from the local database, and the aging charging input power reduction value of each rechargeable battery cluster of each cluster liquid cooling cabinet of the station controller belonging to the factory is mapped.

10. A controller for industrial and commercial energy storage for battery and energy management, characterized by: The controller stores one or more programs, and the one or more programs can be executed by one or more processors to implement the functions of an industrial and commercial energy storage system for battery and energy management as described in any one of claims 1-9.

Images