A cloud-edge collaborative battery management method and a central control management unit

Abstract

This invention provides a cloud-edge collaborative battery management method and a central control management unit, belonging to the field of energy storage device technology. Specifically, it includes: using management processing strategies and a cloud platform to manage the battery of the energy storage device during the energy storage regulation process; based on the joint management data of the energy storage battery and other energy storage batteries, when a battery with management deviation is identified, the optimization scheme of the cloud platform's management processing strategy is determined by using the number of equalization control operations of the management deviation battery and other energy storage batteries on the cloud platform, thereby improving the reliability of battery management.

Description

Technical Field

[0001] This invention belongs to the field of energy storage device technology, and particularly relates to a battery management method based on cloud-edge collaboration and a central control management unit. Background Technology

[0002] Energy storage devices are often composed of multiple battery sub-units. Therefore, during operation, different battery sub-units must be managed in a coordinated manner to ensure that the charge and discharge curves of different battery sub-units are consistent, and to avoid the impact of charge and discharge imbalance on the service life of the energy storage device.

[0003] To address the aforementioned technical problems, the invention patent application CN202510305612.X, "A Method and System for Flexible Resource Regulation of Distribution Transmission Areas Based on Cloud-Edge Collaboration," describes a method where an edge computing device receives control strategies issued by a cloud computing platform based on solution results, and uses these strategies to control distributed energy storage devices. This reduces the heavy computational workload of centralized cloud computing platforms, minimizing the operating costs of flexible resources in distribution transmission areas and maximizing power utilization. However, the above technical solution has the following technical drawbacks:

[0004] In the process of battery management for energy storage devices, in order to reduce the impact of frequent charging and discharging on the battery life of the energy storage device, existing technical solutions often set the number of energy storage modules differently according to the energy storage regulation requirements. Therefore, how to determine the cloud-edge collaborative battery management scheme under different numbers of energy storage batteries, so that the cloud platform can accurately grasp the collaborative operation status of different energy storage batteries, and at the same time avoid the situation of computing resource shortage caused by frequent use of the cloud platform for battery management, has become an urgent technical problem to be solved.

[0005] To address the aforementioned technical issues, this application provides a cloud-edge collaborative battery management method and a central control management unit. Summary of the Invention

[0006] To achieve the objectives of this invention, the following technical solution is adopted:

[0007] Specifically, this application provides a cloud-edge collaborative battery management method, which includes:

[0008] S1 uses the energy storage regulation data of the energy storage battery of the energy storage device as a basis to determine the energy storage regulation period when all energy storage batteries are put into use. Based on the distribution data of the energy storage regulation period, when it is determined that the management reliability of the energy storage device is difficult to meet the requirements, the management and processing strategy of the cloud platform is determined by the energy storage regulation data under different numbers of energy storage batteries and the usage data of the energy storage batteries.

[0009] S2 utilizes the management and processing strategy and the cloud platform to manage the battery of the energy storage device during the energy storage regulation process. Based on the joint management data of the energy storage battery and other energy storage batteries, when it is determined that there is a battery with management deviation, the optimization scheme of the management and processing strategy of the cloud platform is determined by using the number of equalization control times of the battery with management deviation and other energy storage batteries on the cloud platform.

[0010] A further technical solution is that the energy storage regulation data includes the number of times the energy storage device has been regulated in history, as well as the number of energy storage batteries put into use during different energy storage regulation periods within different energy storage regulation periods.

[0011] A further technical solution involves that the number of energy storage batteries put into use is related to the energy storage regulation power. Specifically, the number of batteries put into use is determined based on the ratio of the energy storage regulation power to the rated output power of the energy storage batteries. The specific energy storage regulation power is determined based on the analysis results of the issued energy storage regulation commands.

[0012] A further technical solution involves determining that the management reliability of the energy storage device is difficult to meet the requirements, specifically including:

[0013] The energy storage regulation period during which all of the aforementioned energy storage batteries are in use is taken as the target regulation period;

[0014] Based on the distribution data of the target adjustment period, determine the dates on which the target adjustment period exists;

[0015] Based on the distribution data of dates with target adjustment periods, it is determined whether the management reliability of the energy storage device meets the requirements.

[0016] A further technical solution involves determining the optimization scheme for the management and processing strategy of the cloud platform as follows:

[0017] Based on the number of equalization control operations of batteries with different management deviations and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries for batteries with different management deviations are determined.

[0018] Based on the overlap of matching deviation energy storage batteries with different management deviation batteries, determine the number of overlapping matching deviation energy storage batteries with different management deviation batteries.

[0019] Based on the number of management deviation batteries and the number of overlapping matching deviation energy storage batteries for different management deviation batteries, an optimized scheme for the management and processing strategy of the cloud platform is determined.

[0020] Secondly, the present invention provides a central control management unit applied to the aforementioned cloud-edge collaborative battery management method, specifically comprising:

[0021] Communication processing module, load balancing control module, data acquisition module;

[0022] The communication processing module is responsible for communication processing with the cloud platform.

[0023] The equalization control module is responsible for equalizing the different energy storage batteries during the charging and discharging process of the energy storage device.

[0024] The data acquisition module is responsible for acquiring and processing the charging and discharging current and voltage of the energy storage battery in the energy storage device.

[0025] The beneficial effects of this invention are as follows:

[0026] Based on energy storage regulation data and usage data of energy storage batteries under different numbers of deployed batteries, a management and processing strategy for the cloud platform is determined. This not only enables balanced control of the charging and discharging process of energy storage batteries when there are a large number of deployed batteries, but also achieves accurate assessment of the consistency of charging and discharging curves and the charging and discharging state of different energy storage batteries. At the same time, it avoids the technical problem of excessively frequent response to balanced control of energy storage batteries during charging and discharging under all deployment numbers, thus ensuring the operational stability and reliability of the cloud platform.

[0027] The optimization scheme for the cloud platform's management and processing strategy is determined by considering the number of batteries with management deviations and the number of equalization control operations performed on the cloud platform for different batteries with management deviations and other energy storage batteries. This not only takes into account the differences in the optimization requirements of the cloud platform's management and processing strategy due to the difference in the number of batteries with management deviations, but also considers the number of other energy storage batteries with fewer equalization control operations for batteries with different management deviations. This enables timely updates to the management and processing strategy, ensuring that the cloud platform can accurately and dynamically identify the operating status of all energy storage batteries.

[0028] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0029] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0030] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0031] Figure 1This is a flowchart of a cloud-edge collaborative battery management method;

[0032] Figure 2 This is a flowchart illustrating how the management reliability of an energy storage device is difficult to meet requirements.

[0033] Figure 3 It is a flowchart illustrating the method for determining the management and processing strategies of the cloud platform;

[0034] Figure 4 This is a flowchart illustrating the method for determining the management deviation of batteries;

[0035] Figure 5 This is a framework diagram of a central control and management unit. Detailed Implementation

[0036] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0037] In this application, by determining the target number of batteries to be put into operation, the cloud platform is used to perform balanced control processing on different energy storage batteries during the energy storage regulation period when the energy storage batteries are at or above the target number of batteries. This ensures that the voltage of different energy storage batteries is consistent during the charging and discharging process, and also ensures that the cloud platform can accurately grasp the consistency of the curves of different energy storage batteries during the charging and discharging process. At the same time, it avoids the waste of computing resources caused by using the cloud platform in all charging and discharging processes.

[0038] Example 1

[0039] like Figure 1 As shown, this application provides a cloud-edge collaborative battery management method, specifically including:

[0040] S1 uses the energy storage regulation data of the energy storage battery of the energy storage device as a basis to determine the energy storage regulation period when all energy storage batteries are put into use. Based on the distribution data of the energy storage regulation period, when it is determined that the management reliability of the energy storage device is difficult to meet the requirements, the management and processing strategy of the cloud platform is determined by the energy storage regulation data under different numbers of energy storage batteries and the usage data of the energy storage batteries.

[0041] Furthermore, the energy storage regulation data includes the number of times the energy storage device has been regulated in history, as well as the number of energy storage batteries put into use during different energy storage regulation periods within different energy storage regulation periods.

[0042] It is understandable that the number of energy storage batteries put into use is related to the energy storage regulation power. Specifically, the number of batteries put into use is determined based on the ratio of the energy storage regulation power to the rated output power of the energy storage battery. The specific energy storage regulation power is determined based on the analysis results of the issued energy storage regulation command.

[0043] In another possible embodiment, the number of energy storage devices to be put into use is determined according to the range in which the energy storage regulation power is located. Specifically, the range is divided into equally spaced ranges according to 20% of the rated energy storage capacity of the energy storage devices. Within each range, the number of devices to be put into use is determined by the ratio of the energy storage regulation power corresponding to the maximum value at the endpoint of the range to the rated output power of the energy storage battery.

[0044] It should also be noted that when energy storage regulation is performed within the same energy storage regulation cycle, the number of energy storage batteries put into use generally does not change, unless the duration for which the energy storage regulation power exceeds the maximum output power that the energy storage battery can provide does not meet the requirements, in which case it is necessary to adjust the number of energy storage batteries put into use. In one possible embodiment, when the duration is greater than 2 minutes, the number of energy storage batteries put into use will be directly switched to the next interval.

[0045] Specifically, such as Figure 2 As shown, the management reliability of the energy storage device is difficult to meet the requirements, specifically including:

[0046] The energy storage regulation period during which all of the aforementioned energy storage batteries are in use is taken as the target regulation period;

[0047] Based on the distribution data of the target adjustment period, determine the dates on which the target adjustment period exists;

[0048] Based on the distribution data of dates with target adjustment periods, it is determined whether the management reliability of the energy storage device meets the requirements.

[0049] It is understandable that when there are target adjustment periods on different dates, the cloud platform is used to balance the charging and discharging of the energy storage battery in the energy storage device during the target adjustment period. The cloud platform can determine the consistency of the charging and discharging curves of different energy storage batteries during the charging and discharging process. Therefore, on this basis, the management reliability of the energy storage device can meet the requirements.

[0050] In another embodiment, when the number of dates with target adjustment periods is large, i.e., the proportion of dates with target adjustment periods is greater than 0.9, the cloud platform can determine the consistency of the charge and discharge curves of different energy storage batteries during the charge and discharge process. Therefore, based on this, the management reliability of the energy storage device can meet the requirements.

[0051] Optionally, it is determined that the management reliability of the energy storage device is difficult to meet the requirements, specifically including:

[0052] The energy storage regulation period during which all of the aforementioned energy storage batteries are in use is taken as the target regulation period;

[0053] Based on the distribution data of the target adjustment period, determine the number of energy storage adjustments that exist during the target adjustment period;

[0054] Based on the number of energy storage adjustments during the target adjustment period, it is determined whether the management reliability of the energy storage device meets the requirements.

[0055] It is understandable that when the number of energy storage adjustments during the target adjustment period meets the requirements, that is, when the proportion of energy storage adjustments during the target adjustment period is greater than 0.8, the cloud platform can determine the consistency of the charge and discharge curves of different energy storage batteries during the charge and discharge process. Therefore, on this basis, the management reliability of the energy storage device can meet the requirements.

[0056] Furthermore, the usage data of the energy storage batteries under the number of units deployed includes the number of times the energy storage batteries are used under different deployment numbers.

[0057] Understandably, with different numbers of batteries deployed, the energy storage device dynamically adjusts its operation based on the number of charge-discharge cycles of the batteries, aiming to select the batteries with the fewest charge-discharge cycles for energy storage regulation.

[0058] Specifically, such as Figure 3 As shown, the method for determining the management and processing strategy of the cloud platform is as follows:

[0059] Based on energy storage regulation data under different input quantities, determine the number of energy storage regulation periods under different input quantities;

[0060] Based on the usage data of energy storage batteries under different numbers of inputs, determine the number of times the energy storage batteries are used under different numbers of inputs.

[0061] The management and processing strategy of the cloud platform is determined based on the number of energy storage regulation periods under different input quantities and the number of times the energy storage batteries are used under different input quantities.

[0062] It should be noted that the number of times the energy storage battery is used during the energy storage regulation process.

[0063] It is understandable that the management and processing strategy of the cloud platform is determined based on the number of energy storage regulation periods under different investment levels and the number of times the energy storage batteries are used under different investment levels, specifically including:

[0064] The minimum number of energy storage batteries required for each energy storage adjustment period, provided that the total number of battery usages meets the requirements, is taken as the target number. During energy storage adjustment periods at or above the target number, the charging and discharging of the energy storage batteries is balanced using a cloud platform. In other cases, the overall control management unit of the energy storage device is used to balance the charging and discharging of the energy storage batteries.

[0065] It should be noted that the sum of the number of times the energy storage battery is used is the sum of the number of times the energy storage battery is used at the number of times it is used and the number of times it is used at or above the number of times it is used. When the sum of the number of times the energy storage battery is used accounts for more than 0.4% of the total number of times the energy storage battery is used, the sum of the number of times the energy storage battery is used to meet the requirements. The number of times it is used at or above the number of times it is used is the number of times it is used.

[0066] It is understood that when the sum of the number of times the energy storage batteries are used at the number of times they are used and the number of times they are used is greater than a preset usage threshold, the number of times they are used is determined as the number of usable inputs. The target input is determined with the goal of minimizing the number of energy storage periods at the number of usable inputs and the number of times they are used and the number of times they are used.

[0067] S2 utilizes the management and processing strategy and the cloud platform to manage the battery of the energy storage device during the energy storage regulation process. Based on the joint management data of the energy storage battery and other energy storage batteries, when it is determined that there is a battery with management deviation, the optimization scheme of the management and processing strategy of the cloud platform is determined by using the number of equalization control times of the battery with management deviation and other energy storage batteries on the cloud platform.

[0068] Specifically, such as Figure 4 As shown, the method for determining the management deviation battery is as follows:

[0069] Based on the joint management data of the energy storage battery and other energy storage batteries, determine the balanced charging and discharging control data of the energy storage battery and other energy storage batteries in the cloud platform;

[0070] Based on the equalization control data, the number of times the energy storage battery is simultaneously charged and discharged on the cloud platform with other energy storage batteries is determined, and this number is used as the equalization control number for other energy storage batteries.

[0071] Based on the number of equalization control cycles compared to other energy storage batteries, determine whether the energy storage battery is a management deviation battery.

[0072] It should be noted that the equalization control data refers to the energy storage battery when the charging and discharging control is processed using a cloud platform, as well as other energy storage batteries that are simultaneously processed for charging and discharging control.

[0073] It is understandable that the matching deviation energy storage battery refers to other energy storage batteries that do not meet the requirements for the number of equalization control operations performed simultaneously with the energy storage battery in the cloud platform. It is understandable that when the average time interval between adjacent equalization control operations performed simultaneously with the energy storage battery in the cloud platform is greater than a preset time, the other energy storage battery is determined to be a matching deviation energy storage battery. In other words, when the time interval between the two performing equalization control operations is too long, the cloud platform often cannot accurately grasp the consistency of their charging and discharging, so it is regarded as a matching deviation energy storage battery.

[0074] The preset duration is determined based on the number of energy storage batteries. The more energy storage batteries there are, the shorter the preset duration will be. In one possible embodiment, the preset duration is three days.

[0075] Specifically, when the number of matching deviation energy storage batteries is large, the energy storage battery is determined to be a management deviation battery. That is, when the number of matching deviation energy storage batteries in the energy storage device accounts for more than 0.1, the energy storage battery is determined to be a management deviation battery.

[0076] Understandably, when there are no batteries with management deviations, they will still be managed and processed according to the management and processing strategy.

[0077] Specifically, the method for determining the optimization scheme of the management and processing strategy of the cloud platform is as follows:

[0078] Based on the number of equalization control operations of batteries with different management deviations and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries for batteries with different management deviations are determined.

[0079] Based on the overlap of matching deviation energy storage batteries with different management deviation batteries, determine the number of overlapping matching deviation energy storage batteries with different management deviation batteries.

[0080] Based on the number of management deviation batteries and the number of overlapping matching deviation energy storage batteries for different management deviation batteries, an optimized scheme for the management and processing strategy of the cloud platform is determined.

[0081] It is understandable that when the number of mismanaged batteries is large, i.e., more than 0.05 times the number of energy storage batteries in a possible embodiment, the number of mismanaged batteries is large. Therefore, based on this, the cloud platform is used to balance the charging and discharging of energy storage batteries during all energy storage regulation periods until there are no mismanaged batteries. Then, the original strategy is used to determine the management and processing strategy of the cloud platform. That is, during energy storage regulation periods of the target number and above, the cloud platform is used to balance the charging and discharging of energy storage batteries. In other cases, the total control management unit of the energy storage device is used to balance the charging and discharging of energy storage batteries.

[0082] Furthermore, when the number of misaligned batteries is small, i.e., in one possible embodiment, it is no more than 0.05 times the number of energy storage batteries in the energy storage system, it is necessary to perform deduplication processing on the matching misaligned energy storage batteries of different misaligned batteries, i.e., only one of the different matching misaligned energy storage batteries is retained to obtain the misaligned energy storage battery. When the number of misaligned energy storage batteries is large, i.e., the proportion of misaligned energy storage batteries in the number of energy storage batteries in the energy storage system is greater than 0.2, then in all energy storage regulation periods, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries until there are no misaligned batteries. Then, the original strategy is used to determine the management and processing strategy of the cloud platform. That is, in the energy storage regulation periods of the target number and above, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries. In other cases, the total control management unit of the energy storage device is used to perform balanced control of the charging and discharging of the energy storage batteries.

[0083] In other cases, the number of matching deviation energy storage batteries is used to determine the management deviation. Specifically, when the number of matching deviation energy storage batteries accounts for more than 0.15 times of all energy storage batteries, as long as there are management deviation batteries and matching deviation energy storage batteries of management deviation batteries during the energy storage regulation period, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries until they are no longer management deviation batteries. Then, the original strategy is used to determine the management and processing strategy of the management deviation batteries on the cloud platform. That is, during the energy storage regulation period of the target number and above, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries. In other cases, the total control management unit of the energy storage device is used to perform balanced control of the charging and discharging of the energy storage batteries.

[0084] If the ratio is not greater than 0.15, then only when the number of management deviation batteries and the proportion of matching deviation energy storage batteries of management deviation batteries meet the requirements during the energy storage regulation period, in one possible embodiment, when the proportion of matching deviation energy storage batteries of management deviation batteries in the energy storage regulation period is greater than 0.3, the cloud platform is used to perform balanced charging and discharging control of the energy storage batteries until they are no longer management deviation batteries. Then, the original strategy is used to determine the management and processing strategy of the management deviation batteries on the cloud platform. That is, during the energy storage regulation period of the target number and above, the cloud platform is used to perform balanced charging and discharging control of the energy storage batteries. In other cases, the total control management unit of the energy storage device is used to perform balanced charging and discharging control of the energy storage batteries.

[0085] Example 2

[0086] Secondly, such as Figure 5 As shown, this invention provides a central control management unit applied to the aforementioned cloud-edge collaborative battery management method, specifically including:

[0087] Communication processing module, load balancing control module, data acquisition module;

[0088] The communication processing module is responsible for communication processing with the cloud platform.

[0089] The equalization control module is responsible for equalizing the energy storage batteries during the charging and discharging process of the energy storage device.

[0090] The data acquisition module is responsible for acquiring and processing the charging and discharging current and voltage of the energy storage battery in the energy storage device.

[0091] In one possible specific embodiment:

[0092] The energy storage regulation period during which all energy storage batteries are put into use is taken as the target regulation period. When the target regulation period exists on different dates in history, the cloud platform is used to balance the charging and discharging of the energy storage batteries in the energy storage device during the target regulation period. That is, to ensure that the voltage of different energy storage batteries is consistent during the charging and discharging process. The cloud platform can determine the consistency of the charging and discharging curves of different energy storage batteries during the charging and discharging process. Therefore, on this basis, the management reliability of the energy storage device can meet the requirements.

[0093] Based on the number of energy storage regulation periods under different investment quantities, and according to the usage data of energy storage batteries under different investment quantities, the number of times the energy storage batteries are used under different investment quantities is determined. Under the condition that the sum of the number of times the energy storage batteries are used meets the requirements, in one possible embodiment, when the ratio of the sum of the number of times the batteries are used to the number of times the batteries are used in history is greater than 0.4, the investment quantity with the fewest number of energy storage regulation periods is taken as the target investment quantity. During the energy storage regulation periods at or above the target investment quantity, the charging and discharging balance control of the energy storage batteries is performed using a cloud platform. In other cases, the charging and discharging balance control of the energy storage batteries is performed using the overall control management unit of the energy storage device.

[0094] Based on the joint management data of the energy storage battery and other energy storage batteries, the number of times the energy storage battery is simultaneously charged and discharged with other energy storage batteries on the cloud platform is determined, and this number is used as the balancing control number of other energy storage batteries. The matching deviation energy storage battery is defined as other energy storage batteries that have been simultaneously charged and discharged with the energy storage battery on the cloud platform for less than 10 balancing control times in the past month. When the proportion of matching deviation energy storage batteries in the energy storage device is greater than 0.1, the energy storage battery is determined to be a management deviation battery.

[0095] When the number of misaligned batteries exceeds 0.05 times the number of batteries in the energy storage system, the number of misaligned batteries is relatively large. Therefore, based on this, the cloud platform is used to balance the charging and discharging of the energy storage batteries during all energy storage regulation periods until there are no misaligned batteries. Then, the original strategy is used to determine the management and processing strategy of the cloud platform. That is, during energy storage regulation periods at or above the target number, the cloud platform is used to balance the charging and discharging of the energy storage batteries. In other cases, the number of misaligned energy storage batteries is determined based on the number of misaligned batteries.

[0096] When the number of mismanaged batteries exceeds 0.05 times the number of batteries in the energy storage system (i.e., the proportion of mismanaged batteries in the total number of batteries in the energy storage system is greater than 0.2), the cloud platform is used to balance the charging and discharging of the batteries during all energy storage regulation periods until there are no mismanaged batteries. Then, the original strategy is used to determine the management and processing strategy of the cloud platform. That is, during energy storage regulation periods at or above the target number of batteries, the cloud platform is used to balance the charging and discharging of the batteries. In other cases, the overall control management unit of the energy storage device is used to balance the charging and discharging of the batteries.

[0097] If the proportion of the biased energy storage battery in the total number of energy storage batteries in the energy storage system is no more than 0.2, the original strategy will be used to determine the management and processing strategy of the cloud platform. That is, during the energy storage adjustment period of the target number of batteries and above, the cloud platform will be used to balance the charging and discharging of the energy storage batteries. In other cases, the total control management unit of the energy storage device will be used to balance the charging and discharging of the energy storage batteries.

[0098] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0099] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0100] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A battery management method based on cloud-edge collaboration, characterized in that, Specifically, it includes: Based on the energy storage regulation data of the energy storage battery of the energy storage device, the energy storage regulation period when all energy storage batteries are put into use is determined. Based on the distribution data of the energy storage regulation period, when it is determined that the management reliability of the energy storage device is difficult to meet the requirements, the management and processing strategy of the cloud platform is determined by the energy storage regulation data under different numbers of energy storage batteries and the usage data of the energy storage batteries. The energy storage device is managed by the aforementioned management and processing strategy and the cloud platform during the energy storage regulation process. Based on the joint management data of the energy storage battery and other energy storage batteries, when a battery with management deviation is identified, the optimization scheme of the management and processing strategy of the cloud platform is determined by the number of equalization control times of the management deviation battery and other energy storage batteries on the cloud platform. The method for determining the management and processing strategy of the cloud platform is as follows: Based on energy storage regulation data under different input quantities, determine the number of energy storage regulation periods under different input quantities; Based on the usage data of energy storage batteries under different numbers of inputs, determine the number of times the energy storage batteries are used under different numbers of inputs. The management and processing strategy of the cloud platform is determined based on the number of energy storage regulation periods under different input quantities and the number of times the energy storage batteries are used under different input quantities. The minimum number of energy storage batteries required for each energy storage adjustment period, provided that the total number of battery usages meets the requirements, is taken as the target number. During energy storage adjustment periods at or above the target number, the charging and discharging of the energy storage batteries is balanced using a cloud platform. In other cases, the overall control management unit of the energy storage device is used to balance the charging and discharging of the energy storage batteries.

2. The battery management method based on cloud-edge collaboration as described in claim 1, characterized in that, The energy storage regulation data includes the number of times the energy storage device has been regulated in history, as well as the number of energy storage batteries put into use during different energy storage regulation periods within different energy storage regulation periods.

3. The battery management method based on cloud-edge collaboration as described in claim 1, characterized in that, The management reliability of the energy storage device is deemed insufficient to meet requirements, specifically including: The energy storage regulation period during which all of the aforementioned energy storage batteries are in use is taken as the target regulation period; Based on the distribution data of the target adjustment period, determine the dates on which the target adjustment period exists; Based on the distribution data of dates with target adjustment periods, it is determined whether the management reliability of the energy storage device meets the requirements.

4. The battery management method based on cloud-edge collaboration as described in claim 3, characterized in that, When target adjustment periods exist on different dates, the charging and discharging of the energy storage battery of the energy storage device is balanced using the cloud platform during the target adjustment periods.

5. The battery management method based on cloud-edge collaboration as described in claim 1, characterized in that, The usage data of the energy storage batteries under the input quantity includes the number of times the energy storage batteries are used under different input quantities.

6. The battery management method based on cloud-edge collaboration as described in claim 1, characterized in that, The number of times the energy storage battery is used refers to the number of times it is put into use during the energy storage regulation process.

7. The battery management method based on cloud-edge collaboration as described in claim 1, characterized in that, The method for determining the optimization scheme of the management and processing strategy of the cloud platform is as follows: Based on the number of equalization control operations of batteries with different management deviations and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries for batteries with different management deviations are determined. Based on the overlap of matching deviation energy storage batteries with different management deviation batteries, determine the number of overlapping matching deviation energy storage batteries with different management deviation batteries. Based on the number of management deviation batteries and the number of overlapping matching deviation energy storage batteries for different management deviation batteries, an optimized scheme for the management and processing strategy of the cloud platform is determined.

8. A central control management unit, applied to the cloud-edge collaborative battery management method according to any one of claims 1-7, characterized in that, Specifically, it includes: Communication processing module, load balancing control module, data acquisition module; The communication processing module is responsible for communication processing with the cloud platform. The equalization control module is responsible for equalizing the energy storage batteries during the charging and discharging process of the energy storage device. The data acquisition module is responsible for acquiring and processing the charging and discharging current and voltage of the energy storage battery in the energy storage device.

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