Battery management method based on cloud edge collaboration and master control management unit

Abstract

The invention provides a battery management method based on cloud-side cooperation and a master control management unit, and belongs to the technical field of energy storage devices, and the method specifically comprises the steps: carrying out the battery management of an energy storage device in an energy storage adjustment process through employing a management processing strategy and a cloud platform, and carrying out the management of the energy storage device based on the combined management data of an energy storage battery and other energy storage batteries, and when the battery with the management deviation is determined, the optimization scheme of the management processing strategy of the cloud platform is determined by utilizing the equalization control times of the battery with the management deviation and other energy storage batteries on the cloud platform, so that the reliability degree of battery management is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage devices, and in particular relates to a battery management method based on cloud-edge collaboration and a master control management unit. Background Art

[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 remain consistent, avoiding the impact of charge and discharge imbalance on the service life of the energy storage device.

[0003] To solve the above technical problems, in the invention patent application CN202510305612.X "A method and system for flexible resource control in distribution network areas based on cloud-edge collaboration", the control strategy issued by the cloud computing platform based on the solution results is received in the edge computing device, and the received control strategy is used to control the distributed energy storage device, thereby reducing the large amount of computing work in the centralized cloud computing platform, minimizing the operating cost of flexible resources in the distribution network area and maximizing power utilization. However, the above technical solution has the following technical defects: In the process of battery management of energy storage devices, in order to reduce the impact of frequent charging and discharging on the service life of the batteries of the energy storage devices, the existing technical solutions often set the number of energy storage modules that respond to energy storage regulation needs in a differentiated manner according to the energy storage regulation needs. Therefore, how to determine the cloud-edge collaborative battery management solution under different numbers of energy storage batteries invested, so that the cloud platform can accurately grasp the collaborative operation status of different energy storage batteries, and at the same time avoid the occurrence of computing power resource shortages caused by frequent use of the cloud platform for battery management, has become a technical problem that needs to be solved urgently.

[0004] In order to solve the above technical problems, the present application provides a battery management method and a master control management unit based on cloud-edge collaboration. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, this application provides a battery management method based on cloud-edge collaboration, which specifically includes: S1 determines, based on the energy storage regulation data of the energy storage batteries of the energy storage device, an energy storage regulation period during which all the energy storage batteries are put into use. When it is determined, based on the distribution data of the energy storage regulation period, that the management reliability of the energy storage device cannot meet the requirements, the management and processing strategy of the cloud platform is determined based on the energy storage regulation data under different numbers of energy storage batteries put into use and the usage data of the energy storage batteries; 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 management deviation battery, the number of balancing controls of the management deviation battery and other energy storage batteries on the cloud platform is used to determine the optimization plan of the management and processing strategy of the cloud platform.

[0006] A further technical solution is that the energy storage adjustment data includes the number of energy storage adjustments of the energy storage device in history and the number of energy storage batteries put into use in different energy storage adjustment periods in different energy storage adjustment times.

[0007] A further technical solution is that the number of energy storage batteries put into use is related to the energy storage regulation power. The specific number of energy storage 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 instructions.

[0008] A further technical solution is to determine whether the management reliability of the energy storage device is difficult to meet the requirements, specifically including: The energy storage regulation period during which all the energy storage batteries are put into use is used as the target regulation period; Determining a date in which a target adjustment period exists according to the distribution data of the target adjustment period; Based on the distribution data of the dates in which the target adjustment period exists, it is determined whether the management reliability of the energy storage device meets the requirements.

[0009] A further technical solution is that the method for determining the optimization solution of the management and processing strategy of the cloud platform is: Based on the number of balancing controls of different management deviation batteries and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries of different management deviation batteries are determined; According to the overlap of the matching deviation energy storage batteries of different management deviation batteries, the number of overlaps of the matching deviation energy storage batteries of different management deviation batteries is determined; Based on the number of the management deviation batteries and the overlapping number of matching deviation energy storage batteries of different management deviation batteries, an optimization scheme for the management processing strategy of the cloud platform is determined.

[0010] In a second aspect, the present invention provides a master control management unit, which is applied to the above-mentioned battery management method based on cloud-edge collaboration, specifically comprising: Communication processing module, balance control module, data acquisition module; The communication processing module is responsible for communication processing with the cloud platform; The balancing control module is responsible for performing balancing control between different 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 charge and discharge current and voltage of the energy storage battery of the energy storage device.

[0011] The beneficial effects of the present invention are: The management and processing strategy of the cloud platform is determined based on the energy storage adjustment data under different investment quantities of energy storage batteries and the usage data of energy storage batteries under different investment quantities. This not only realizes the use of the cloud platform to perform balancing control processing during the charging and discharging process of the energy storage batteries when the investment quantity of energy storage batteries is large, but also realizes the consistency of the charging and discharging curves between different energy storage batteries and the accurate evaluation of the charging and discharging status of the energy storage batteries. At the same time, it also avoids the technical problem of too frequent response of the balancing processing caused by performing balancing control processing on the charging and discharging process of the energy storage batteries under all investment quantities, thereby ensuring the operational stability and reliability of the cloud platform.

[0012] The optimization scheme of the management and processing strategy of the cloud platform is determined based on the number of management deviation batteries and the number of balancing controls of different management deviation batteries and other energy storage batteries on the cloud platform. Not only the difference in the optimization processing requirements of the management and processing strategy of the cloud platform caused by the difference in the number of management deviation batteries is taken into account, but also the number of other energy storage batteries with fewer balancing controls of different management deviation batteries is taken into account, thereby realizing timely update processing of the management and processing strategy and ensuring that the cloud platform can accurately and dynamically identify the operating conditions of all energy storage batteries.

[0013] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0014] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 It is a flow chart of a battery management method based on cloud-edge collaboration; Figure 2 It is a flow chart to determine that the management reliability of the energy storage device is difficult to meet the requirements; Figure 3 It is a flow chart of a method for determining a management processing strategy of a cloud platform; Figure 4 is a flow chart of a method for managing determination of a deviation battery; Figure 5 It is a framework diagram of a master control management unit. DETAILED DESCRIPTION

[0017] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0018] In the present application, by determining the target input quantity, the cloud platform is used to perform balancing control processing on different energy storage batteries during the energy storage adjustment period when the energy storage batteries of the energy storage system are at the target input quantity and above the target input quantity, thereby ensuring that the voltages of different energy storage batteries are consistent during the charging and discharging process, and ensuring that the cloud platform can accurately grasp the degree of consistency of the curves of different energy storage batteries during the charging and discharging process. At the same time, it also avoids the waste of computing resources caused by using the cloud platform in all charging and discharging processes.

[0019] Example 1 like Figure 1 As shown, the present application provides a battery management method based on cloud-edge collaboration, which specifically includes: S1 determines, based on the energy storage regulation data of the energy storage batteries of the energy storage device, an energy storage regulation period during which all the energy storage batteries are put into use. When it is determined, based on the distribution data of the energy storage regulation period, that the management reliability of the energy storage device cannot meet the requirements, the management and processing strategy of the cloud platform is determined based on the energy storage regulation data under different numbers of energy storage batteries put into use and the usage data of the energy storage batteries; Furthermore, the energy storage adjustment data includes the number of energy storage adjustments of the energy storage device in history and the number of energy storage batteries put into use in different energy storage adjustment periods in different energy storage adjustment times.

[0020] It can be understood that the number of energy storage batteries put into use is related to the energy storage regulation power. The specific number of energy storage 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 energy storage regulation instructions issued.

[0021] In another possible embodiment, the number of energy storage devices put into use is determined based on the interval in which the energy storage regulation power is located. Specifically, the energy storage device is divided into equally spaced intervals of 20% of the rated energy storage capacity. Within each interval, the number of energy storage devices put into use is determined by the ratio of the energy storage regulation power corresponding to the maximum value of the endpoint of the corresponding interval to the rated output power of the energy storage battery.

[0022] It should also be noted that when energy storage adjustment processing is performed within the same number of energy storage adjustment times, the number of energy storage batteries put into use generally does not change, unless the duration for which the energy storage adjustment power is greater than the maximum output power that the energy storage battery can provide does not meet the requirements, then it is necessary to adjust the number of energy storage batteries put into use. In a possible embodiment, when the duration is greater than 2 minutes, the number of energy storage batteries put into use corresponding to the next interval is directly switched.

[0023] Specifically, such as Figure 2 As shown, it is determined that the management reliability of the energy storage device is difficult to meet the requirements, specifically including: The energy storage regulation period during which all the energy storage batteries are put into use is used as the target regulation period; Determining a date in which a target adjustment period exists according to the distribution data of the target adjustment period; Based on the distribution data of the dates in which the target adjustment period exists, it is determined whether the management reliability of the energy storage device meets the requirements.

[0024] It is understandable that when target adjustment periods exist on different dates, the cloud platform is used to balance the charge and discharge of the energy storage batteries of the energy storage device during the target adjustment period. 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.

[0025] In another embodiment, when there are a large number of dates in the target adjustment period, that is, the number of dates in the target adjustment period accounts for more than 0.9, the cloud platform can determine the consistency of the charge and discharge 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.

[0026] Optionally, determining that the management reliability of the energy storage device is difficult to meet requirements specifically includes: The energy storage regulation period during which all the energy storage batteries are put into use is used as the target regulation period; Determining the number of energy storage adjustments during the target adjustment period based on the distribution data of the target adjustment period; Based on the number of energy storage adjustments within the target adjustment period, it is determined whether the management reliability of the energy storage device meets the requirements.

[0027] It can be understood that when the number of energy storage adjustments in the target adjustment period can meet the requirements, that is, when the proportion of energy storage adjustments in 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 charging and discharging process. Therefore, on this basis, the management reliability of the energy storage device can meet the requirements.

[0028] Furthermore, the usage data of the energy storage battery under the input quantity includes the number of times the energy storage battery is used under different input quantities.

[0029] It is understandable that under different input quantities, the energy storage device is dynamically adjusted according to the charge and discharge times of the energy storage battery, and the energy storage battery with the least charge and discharge times is selected as much as possible for energy storage adjustment processing.

[0030] Specifically, such as Figure 3 As shown, the method for determining the management and processing strategy of the cloud platform is: Determine the number of energy storage adjustment periods under different input quantities based on energy storage adjustment data under different input quantities; Determine the number of times the energy storage battery is used at different input quantities based on usage data of the energy storage battery at different input quantities; The management and processing strategy of the cloud platform is determined according to the number of energy storage adjustment periods under different investment quantities and the number of times the energy storage battery is used under different investment quantities.

[0031] It should be noted that the number of uses refers to the number of times the energy storage battery is put into use during the energy storage regulation process.

[0032] It is understandable that the management and processing strategy of the cloud platform is determined according to the number of energy storage adjustment periods under different input quantities and the number of times the energy storage battery is used under different input quantities, specifically including: When the sum of the number of times the energy storage batteries are used meets the requirements, the minimum number of energy storage adjustment periods is used as the target number of energy storage inputs. During the energy storage adjustment periods with and above the target number of energy storage inputs, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charging and discharging of the energy storage batteries.

[0033] 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 under the investment number and the investment number that is greater than the investment number, wherein when the sum of the number of times the energy storage battery is used accounts for more than 0.4 of the sum of the number of times the energy storage battery is used, it is determined that the sum of the number of times the energy storage battery is used meets the requirements, and the investment number that is greater than the investment number is.

[0034] It can be understood that when the sum of the usage times of the energy storage battery under the said input quantity and the input quantity above the said input quantity is greater than the preset usage times threshold, the said input quantity is determined to be the available input quantity, and the target input quantity in the available input quantity is determined with the minimum number of energy storage time periods under the available input quantity and the input quantity above the available input quantity as the goal.

[0035] 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 management deviation battery, the number of balancing controls of the management deviation battery and other energy storage batteries on the cloud platform is used to determine the optimization plan of the management and processing strategy of the cloud platform.

[0036] Specifically, such as Figure 4 As shown, the method for determining the management deviation battery is: Determining charging and discharging balancing control data of the energy storage battery and other energy storage batteries in the cloud platform using the joint management data of the energy storage battery and other energy storage batteries; Based on the balancing control data, determine the number of times the energy storage battery performs charge and discharge control processing simultaneously with other energy storage batteries on the cloud platform, and use it as the balancing control number of other energy storage batteries; According to the number of balancing controls with other energy storage batteries, it is determined whether the energy storage battery is a management deviation battery.

[0037] It should be noted that the balancing control data is for the energy storage battery when the cloud platform is used for charge and discharge control processing and for other energy storage batteries that are simultaneously subjected to charge and discharge control processing.

[0038] It is understandable that the matching deviation energy storage battery is another energy storage battery whose number of balancing controls when performing charge and discharge control processing simultaneously with the energy storage battery in the cloud platform does not meet the requirements. It is understandable that when the average value of the interval time between the adjacent balancing control times when the other energy storage battery and the energy storage battery perform charge and discharge control processing simultaneously in the cloud platform is greater than the preset time, the other energy storage battery is determined to be a matching deviation energy storage battery. That is to say, when the interval time when the two perform balancing control at the same time is too long, the cloud platform often cannot accurately grasp the charging and discharging consistency of the two at this time, and therefore it is regarded as a matching deviation energy storage battery at this time.

[0039] The preset duration is determined according to the number of energy storage batteries, wherein the greater the number of energy storage batteries, the shorter the preset duration. In a possible embodiment, the preset duration is three days.

[0040] 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.

[0041] It is understandable that when there is no management deviation battery, management processing is still performed according to the management processing strategy.

[0042] Specifically, the method for determining the optimization solution for the management and processing strategy of the cloud platform is: Based on the number of balancing controls of different management deviation batteries and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries of different management deviation batteries are determined; According to the overlap of the matching deviation energy storage batteries of different management deviation batteries, the number of overlaps of the matching deviation energy storage batteries of different management deviation batteries is determined; Based on the number of the management deviation batteries and the overlapping number of matching deviation energy storage batteries of different management deviation batteries, an optimization scheme for the management processing strategy of the cloud platform is determined.

[0043] It can be understood that when the number of management deviation batteries is large, that is, in a possible embodiment, when it is greater than 0.05 times the number of energy storage batteries of the energy storage system, then the number of management deviation batteries at this time is large. Therefore, on this basis, in all energy storage adjustment periods, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries until there are no management deviation batteries. Then, the original strategy is used to determine the management processing strategy of the cloud platform, that is, in the energy storage adjustment period with and above the target input quantity, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charging and discharging of the energy storage batteries.

[0044] Furthermore, when the number of management deviation batteries is small, that is, in a possible embodiment, it is not more than 0.05 times the number of energy storage batteries in the energy storage system, then it is also necessary to perform deduplication processing of the matching deviation energy storage batteries of different management deviation batteries according to the overlapping number of matching deviation energy storage batteries of different management deviation batteries, that is, only one different matching deviation energy storage battery is retained to obtain the deviation energy storage battery. When the number of deviation energy storage batteries is large, that is, the proportion of deviation 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 adjustment periods, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage batteries until there are no management deviation batteries, and then the original strategy is used to determine the management processing strategy of the cloud platform, that is, in the energy storage adjustment period with and above the target input number, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charge and discharge of the energy storage batteries.

[0045] In other cases, the number of matching deviation energy storage batteries of the management deviation battery is determined. 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 the management deviation batteries in the energy storage adjustment period, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage battery until it no longer belongs to the management deviation battery, and then the original strategy is used to determine the management processing strategy of the management deviation battery on the cloud platform, that is, in the energy storage adjustment period with and above the target input quantity, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage battery. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charge and discharge of the energy storage battery.

[0046] But when it is not more than 0.15 times, only when there are management deviation batteries in the energy storage adjustment period and the proportion of the number of matching deviation energy storage batteries of the management deviation batteries meets the requirements, in a possible embodiment, when the proportion of the matching deviation energy storage batteries of the management deviation batteries in the energy storage adjustment period is more than 0.3, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage battery, until it is no longer a management deviation battery, and then the original strategy is used to determine the management processing strategy of the management deviation battery on the cloud platform, that is, in the energy storage adjustment period with a target input quantity and above the target input quantity, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage battery, and in other cases, the master control management unit of the energy storage device is used to perform balanced control of the charge and discharge of the energy storage battery.

[0047] Example 2 Second, as Figure 5 As shown, the present invention provides a master control management unit, which is applied to the above-mentioned battery management method based on cloud-edge collaboration, specifically including: Communication processing module, balance control module, data acquisition module; The communication processing module is responsible for communication processing with the cloud platform; The balancing control module is responsible for performing balancing control between different 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 charge and discharge current and voltage of the energy storage battery of the energy storage device.

[0048] In a possible specific embodiment: The energy storage regulation period during which all energy storage batteries are put into use is used as the target regulation period. If the target regulation period exists on different dates in history, the cloud platform is used to balance the charge and discharge of the energy storage device's energy storage batteries during the target regulation period. This ensures that the voltages of different energy storage batteries are consistent during the charge and discharge process. 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. Based on the number of energy storage adjustment periods at different input quantities and according to the usage data of the energy storage batteries at different input quantities, the number of times the energy storage batteries are used at different input quantities is determined. If the sum of the number of times the energy storage batteries are used meets the requirements, in one possible embodiment, when the sum of the number of times used accounts for more than 0.4 of the historical number of times used, the input quantity with the smallest number of energy storage adjustment periods is used as the target input quantity. During the energy storage adjustment periods with the target input quantity and above, the cloud platform is used to perform balanced charge and discharge control of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced charge and discharge control of the energy storage batteries. The joint management data of the energy storage battery and other energy storage batteries is used to determine the number of times the energy storage battery is charged and discharged simultaneously with other energy storage batteries on the cloud platform, and this number is used as the balancing control number of other energy storage batteries. The matching deviation energy storage battery is the other energy storage battery that has been charged and discharged simultaneously with the energy storage battery on the cloud platform for less than 10 balancing controls 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.

[0049] When the number of management deviation batteries is greater than 0.05 times the number of energy storage batteries in the energy storage system, the number of management deviation batteries is relatively large. Therefore, on this basis, in all energy storage adjustment periods, the cloud platform is used to balance the charge and discharge of the energy storage batteries until there are no management deviation batteries. Then the original strategy is used to determine the management processing strategy of the cloud platform, that is, in the energy storage adjustment period with and above the target input quantity, the cloud platform is used to balance the charge and discharge of the energy storage batteries. In other cases, the number of energy storage batteries with matching deviations of the management deviation batteries is determined.

[0050] When the number of management deviation batteries is greater than 0.05 times the number of energy storage batteries in the energy storage system, that is, the proportion of deviation 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 adjustment periods, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage batteries until there are no management deviation batteries. Then the original strategy is used to determine the management and processing strategy of the cloud platform, that is, in the energy storage adjustment periods with and above the target input quantity, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charge and discharge of the energy storage batteries.

[0051] If the deviation energy storage battery accounts for no more than 0.2 of the total number of energy storage batteries in the energy storage system, the original strategy is used to determine the management and processing strategy of the cloud platform, that is, during the energy storage adjustment period with and above the target input quantity, the cloud platform is used to perform balanced control of the charge and discharge of the energy storage battery. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charge and discharge of the energy storage battery.

[0052] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0053] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A battery management method based on cloud-edge collaboration, characterized in that: Specifically include: Based on the energy storage regulation data of the energy storage batteries of the energy storage device, determine the energy storage regulation period when all the energy storage batteries are put into use. When it is determined based on the distribution data of the energy storage regulation period that the management reliability of the energy storage device cannot meet the requirements, determine the management and processing strategy of the cloud platform based on the energy storage regulation data under different numbers of energy storage batteries put into use and the energy storage battery usage data; The management and processing strategy and the cloud platform are used 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 management deviation battery, the number of balancing controls of the management deviation battery and other energy storage batteries on the cloud platform is used to determine the optimization plan of the management and processing strategy of the cloud platform.

2. The battery management method based on cloud-edge collaboration according to claim 1, characterized in that: The energy storage adjustment data includes the number of energy storage adjustments of the energy storage device in history and the number of energy storage batteries put into use in different energy storage adjustment periods in different energy storage adjustment times.

3. The battery management method based on cloud-edge collaboration according to claim 1, characterized in that: Determining that the management reliability of the energy storage device is unable to meet the requirements, specifically including: The energy storage regulation period during which all the energy storage batteries are put into use is used as the target regulation period; Determining a date in which a target adjustment period exists according to the distribution data of the target adjustment period; Based on the distribution data of the dates in which the target adjustment period exists, 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 according to claim 3, characterized in that: When target adjustment periods exist on different dates, the cloud platform is used to perform balanced control of charging and discharging of the energy storage battery of the energy storage device during the target adjustment period.

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

6. The battery management method based on cloud-edge collaboration according to claim 1, characterized in that: The method for determining the management and processing strategy of the cloud platform is: Determine the number of energy storage adjustment periods under different input quantities based on energy storage adjustment data under different input quantities; Determine the number of times the energy storage battery is used at different input quantities based on usage data of the energy storage battery at different input quantities; The management and processing strategy of the cloud platform is determined according to the number of energy storage adjustment periods under different investment quantities and the number of times the energy storage battery is used under different investment quantities.

7. The battery management method based on cloud-edge collaboration according to claim 6, characterized in that: The number of uses is the number of times the energy storage battery is put into use during the energy storage regulation process.

8. The battery management method based on cloud-edge collaboration according to claim 6, characterized in that: The management and processing strategy of the cloud platform is determined based on the number of energy storage adjustment periods under different input quantities and the number of times the energy storage battery is used under different input quantities, specifically including: When the sum of the number of times the energy storage batteries are used meets the requirements, the minimum number of energy storage adjustment periods is used as the target number of energy storage inputs. During the energy storage adjustment periods with and above the target number of energy storage inputs, the cloud platform is used to perform balanced control of the charging and discharging of the energy storage batteries. In other cases, the master control management unit of the energy storage device is used to perform balanced control of the charging and discharging of the energy storage batteries.

9. The battery management method based on cloud-edge collaboration according to claim 1, characterized in that: The method for determining the optimization solution of the management and processing strategy of the cloud platform is: Based on the number of balancing controls of different management deviation batteries and other energy storage batteries on the cloud platform, the matching deviation energy storage batteries of different management deviation batteries are determined; According to the overlap of the matching deviation energy storage batteries of different management deviation batteries, the number of overlaps of the matching deviation energy storage batteries of different management deviation batteries is determined; Based on the number of the management deviation batteries and the overlapping number of matching deviation energy storage batteries of different management deviation batteries, an optimization scheme for the management processing strategy of the cloud platform is determined.

10. A master control management unit, applied to a battery management method based on cloud-edge collaboration according to any one of claims 1 to 9, characterized in that: Specifically include: Communication processing module, balance control module, data acquisition module; The communication processing module is responsible for communication processing with the cloud platform; The balancing control module is responsible for performing balancing control between different 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 charge and discharge current and voltage of the energy storage battery of the energy storage device.

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