Recommendation method of energy storage capacity

Abstract

The invention relates to the technical field of energy storage, in particular to an energy storage capacity recommendation method, which comprises the following steps: calculating the value range of the number of battery strings of a sodium ion energy storage system according to a PCS range, battery cell test data and target battery cell capacity; and according to the expected energy storage capacity, the number of the target battery clusters, the rated capacity of the single battery cells, the rated voltage of the single battery cells and the value range of the number of the battery strings, calculating the number of the battery cells connected in parallel in the single battery module. The value range of the voltage string number is measured and calculated based on the battery cell test data and the target battery cell capacity, then the parallel number of the battery cells in the current battery module is calculated in combination with the expected energy storage capacity, and the serial number of the battery modules in the single battery pack is determined based on the preset structure arrangement rule. And the energy storage capacity of a single battery pack is calculated, and the target energy storage capacity of the sodium ion energy storage system with the target number of battery clusters is accurately obtained according to the number of the battery packs connected in series in each battery cluster.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a method for recommending energy storage capacity. Background Art

[0002] Sodium ion energy storage has the advantages of high temperature resistance and resistance to large current shocks. It can still maintain high efficiency and safety performance when operating at high temperatures. Sodium ion battery resources are abundant. The implementation of sodium ion energy storage indicates that the new energy industry has broken through a new technical barrier. Once the supporting facilities of this industry are complete, the energy storage cost will be greatly reduced and safety will be greatly improved.

[0003] The calculation accuracy of the energy storage capacity of existing sodium-ion energy storage systems needs to be improved. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a method for recommending energy storage capacity.

[0005] In a first aspect, an embodiment of the present invention provides a method for recommending energy storage capacity, the method comprising: Calculate the range of battery string numbers for the sodium-ion energy storage system based on the PCS range, battery cell test data, and target battery cell capacity; Calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the cell monomer, the rated voltage of the cell monomer, and the value range of the number of battery strings; Based on the preset structural arrangement rules, determine the number of battery modules connected in series in a single battery pack; Calculate the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel; Calculate the number of battery packs connected in series according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack; The target energy storage capacity is calculated by combining the energy storage capacity of a single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

[0006] In combination with the first aspect, the step of calculating the value range of the number of battery strings of the sodium ion energy storage system according to the PCS range, the battery cell test data, and the target battery cell capacity includes: Get battery cell test data; Obtain the voltage value range of the battery cell corresponding to the target capacity of the battery cell; According to the PCS range and voltage range, the range of the number of battery strings in the sodium-ion energy storage system is determined.

[0007] In combination with the first aspect, the step of calculating the number of parallel-connected cells in the battery module and the energy storage capacity of a single battery pack according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the cell monomer, the rated voltage of the cell monomer and the value range of the number of battery strings includes: Calculate the quotient of the expected energy storage capacity and the target number of battery clusters to obtain the expected power of a single battery cluster; The number of cells to be connected in parallel in each battery module is determined based on the expected power, the rated capacity of the cell, the rated voltage of the cell and the range of the number of battery strings.

[0008] In combination with the first aspect, the step of calculating the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in parallel in the single battery module further includes: The product of the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel is calculated to obtain the energy storage capacity of the single battery pack. In combination with the first aspect, the step of determining the target energy storage capacity in combination with the energy storage capacity of a single battery pack, the number of battery packs connected in series, and the target number of battery clusters includes: The energy storage capacity of each battery cluster is determined by combining the energy storage capacity of a single battery pack and the number of battery packs connected in series; The product of the energy storage capacity of the battery cluster and the target number of battery clusters is calculated to obtain the target energy storage capacity of the sodium-ion energy storage system.

[0009] In combination with the first aspect, the method further includes: Get the time period attributes and electricity price of the current time period; Determine the target charging and discharging status according to the time period attributes and electricity price.

[0010] In combination with the first aspect, the method further includes: Obtaining a first temperature value of a battery cell in a sodium ion energy storage system; Determining whether the first temperature value is less than a first temperature threshold; Controlling the operation of the heating mechanism to heat the battery cells in the sodium ion energy storage system; Obtaining a second temperature value of the heated battery cell; If the second temperature value is greater than the second temperature threshold, or the temperature difference between the battery cells is greater than the third temperature threshold, the heating mechanism is controlled to stop operating; The third temperature threshold is smaller than the first temperature threshold, and the first temperature threshold is smaller than the second temperature threshold.

[0011] In a second aspect, the present application provides a device for recommending energy storage capacity, the device comprising: The first calculation module is used to calculate the value range of the number of battery strings of the sodium ion energy storage system according to the PCS range, battery cell test data, and target battery cell capacity; A second calculation module is used to calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the battery cell, the rated voltage of the battery cell and the value range of the number of battery strings; A determination module, used to determine the number of battery modules connected in series in a single battery pack based on a preset structural arrangement rule; A third calculation module is used to calculate the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in parallel in the single battery module; a fourth calculation module, configured to calculate the number of battery packs connected in series according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack; The fifth calculation module is used to calculate the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

[0012] In a third aspect, the present application provides an electronic device, which includes a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the above method.

[0013] In a fourth aspect, the present application provides a readable storage medium, in which computer program instructions are stored. When the computer program instructions are read and executed by a processor, the above method is executed.

[0014] The embodiments of the present invention bring about the following beneficial effects: the energy storage capacity recommendation method provided in the present application calculates the value range of the voltage string number based on the PCS range, battery cell test data, and target battery cell capacity, and then calculates the number of parallel-connected battery cells in each battery module in combination with the expected energy storage capacity, and confirms the number of series-connected battery modules in a single battery pack based on the preset structural arrangement rules, and then calculates the energy storage capacity of a single battery pack and the number of series-connected battery packs in a battery cluster, thereby more accurately obtaining the target energy storage capacity of a sodium ion energy storage system with a target number of battery clusters.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0016] 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

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A schematic diagram of a method flow for recommending energy storage capacity provided in an embodiment of the present invention; Figure 2 A schematic diagram of battery cell test data in a sodium ion energy storage system provided in an embodiment of the present invention; Figure 3 A schematic diagram of a recommended device for energy storage capacity provided by an embodiment of the present invention; Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0019] Reference numerals: 10-first calculation module, 20-second calculation module, 30-determination module, 40-third calculation module, 50-fourth calculation module, 60-fifth calculation module; 130 - processor, 131 - memory, 132 - bus, 133 - communication interface. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0021] In order to facilitate the understanding of this embodiment, the technical terms designed in this application are briefly introduced below.

[0022] PCS (Power Conversion System) can control the charging and discharging process of the battery, perform AC / DC conversion, and directly supply power to AC loads when there is no power grid.

[0023] The battery cell is the core component of the battery system and consists of a positive electrode, a negative electrode and an electrolyte between the two.

[0024] A module is a battery unit composed of multiple battery cells. It usually includes battery cells, circuit boards, connectors and casings. The main function of the module is to assemble, connect and protect battery cells to meet the battery requirements of different application scenarios.

[0025] Pack is a battery pack formed by connecting multiple modules together. Its main function is to integrate the power output of the modules into a unified power output terminal to supply electric vehicles, energy storage systems, mobile devices, etc.

[0026] A battery cluster is a battery unit composed of multiple packs. It is a basic component of large devices such as electric vehicles and energy storage systems.

[0027] After introducing the technical terms involved in this application, the application scenarios and design concepts of the embodiments of this application are briefly introduced.

[0028] The existing technology still lacks a method that can quantify and accurately recommend energy storage capacity configuration.

[0029] Based on this, an embodiment of the present application provides a method for recommending energy storage capacity.

[0030] Example 1 This application provides a method for recommending energy storage capacity, combining Figure 1 As shown, the method includes: S110, calculating a value range of the number of battery strings of the sodium ion energy storage system according to the PCS range, the battery cell test data, and the target battery cell capacity.

[0031] S120, calculating the number of parallel-connected battery cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the battery cell, the rated voltage of the battery cell, and the value range of the number of battery strings.

[0032] S130, based on a preset structural arrangement rule, obtaining the number of battery modules in series connection in each battery pack.

[0033] S140, calculating the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel.

[0034] S150, calculating the number of battery packs connected in series in a single battery cluster according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack.

[0035] S160, calculating the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

[0036] The energy storage capacity recommendation method provided in the present application calculates the value range of the voltage string number based on the PCS range, battery cell test data, and target battery cell capacity. Then, the number of parallel cells in each battery module is calculated in combination with the expected energy storage capacity, and the number of series connections of the battery modules in a single battery pack is confirmed based on the preset structural arrangement rules. Then, the energy storage capacity of a single battery pack and the number of series connections of battery packs in a battery cluster are calculated, so as to more accurately obtain the target energy storage capacity of the sodium ion energy storage system with the target number of battery clusters.

[0037] In combination with the first aspect, step S110 includes: S111, obtaining battery cell test data.

[0038] S112, obtaining a voltage value range of a battery cell corresponding to the target capacity of the battery cell.

[0039] S113, determining a value range of the number of battery strings of the sodium ion energy storage system according to the PCS range and the voltage value range.

[0040] In this embodiment, in step S111, the battery test data of the plurality of battery cells to be assembled are combined with Figure 2 Afterwards, in step S112, the voltage value range is determined according to the assembly requirements.

[0041] It is understandable that the main difference between sodium and lithium batteries is voltage. The operating voltage range of lithium iron phosphate cells is 2.7~3.6V, while the operating voltage range of sodium cells is 1.5~3.6V. The voltage difference after assembly is even greater. Taking PCS as an example, the current common lithium battery system (i.e. 416S system) has a voltage range of 1123.2~1497.6V, and the matching PCS voltage is 1000~1500V; in this case, the sodium ion battery system voltage is 624~1497.6V, and the widest range on the market is PCS (696~1500V). If it is fully charged and discharged, it cannot meet the PCS operating range. Figure 2 From the battery test data shown in , it is known that the battery capacity can reach 10Ah within the voltage range of 1.9V-3.2V. Therefore, without affecting the capacity, the voltage threshold range of the sodium ion battery cell is adjusted to the highest third-level alarm voltage range of 1.7-3.35V. In this embodiment, the voltage value of the battery cell is 2.8V.

[0042] Afterwards, step S113 calculates the value range of the number of battery strings in the sodium-ion energy storage system based on the existing PCS range and the voltage value range of the battery cell, thereby determining the appropriate value of the number of battery strings in the determined value range. Since the PCS voltage range is (696~1500V), according to this range, the number of system strings = PCS voltage ÷ sodium-ion battery cell voltage; therefore, the value range of the number of battery strings in the sodium-ion energy storage system is (696÷1.7~1500÷3.35), that is, (410~447).

[0043] In combination with the first aspect, step S120 includes: S121, calculating the quotient of the expected energy storage capacity and the target number of battery clusters to obtain the expected power of a single battery cluster.

[0044] S122, determining the number of parallel-connected battery cells in each of the battery modules according to the expected power, the rated capacity of the battery cell, the rated voltage of the battery cell and the value range of the number of battery strings.

[0045] In this embodiment, combined with the above example, the expected energy storage capacity is 1MWh and the target number of battery clusters is 4, then the expected power of a single battery cluster is 1MWh÷4=0.25MWh=250KWh.

[0046] After that, calculate the product of the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery strings; then calculate the quotient of the expected power and the product to get the number of battery cells connected in parallel in the battery module. Combined with the above example, the rated voltage of the battery cell is 2.8V, the rated capacity of the battery cell is 10Ah, and the value range of the number of battery strings S is 410-447. At this time, the number of battery cells in parallel = 250000 ÷ (2.8×10×S) = 20~22.

[0047] Thereafter, the upper limit value of the expected parallel number of battery cells in each battery module is determined as the parallel number of battery cells in a single battery module.

[0048] Specifically, considering the capacity loss, the number of cells connected in parallel should be at least 22. That is, a single battery module includes 22 cells connected in parallel, that is, the number of cells connected in parallel is 22.

[0049] It can be understood that the parallel range of a single battery cluster can be obtained based on the energy storage capacity required by the working requirements of the sodium ion energy storage system and the target number of battery clusters. In a single battery cluster, no other parallel connections will be made except for the battery modules, that is, the parallel range of the single battery cluster is the parallel range of the battery modules. The parallel number of cells in the battery modules in the single battery cluster is calculated by step S120.

[0050] In step S130, under the condition that the number of battery modules has been determined, since the size of most battery packs on the market is limited (generally about 1m in depth and about 600mm in width), the target rules of welding and arrangement that can be achieved are selected according to the width direction arrangement, and the series connection scheme of the battery modules can be roughly determined to obtain the number of series connections. In this embodiment, the number of series connections is 16, that is, the arrangement scheme of 16 battery modules in series.

[0051] Then, step S140 calculates the energy storage capacity of a single battery pack, specifically: Calculate the product of the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of cells in parallel in the single battery module, and combine the above example to obtain the energy storage capacity of a single battery pack = 22 × 10 × 2.8 × 16 = 9.856 KWh.

[0052] Then, based on the energy storage capacity of a single battery pack obtained in step S140, step S150 calculates the number of battery packs in series in a single battery cluster, specifically: The quotient of the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack is calculated to obtain the number of battery packs connected in series in the single battery cluster.

[0053] It can be understood that in step S121, the expected energy storage capacity and the target number of battery clusters are calculated to obtain the expected power of the battery cluster. At this time, the expected power and the energy storage capacity of a single battery pack are calculated to obtain the expected number of battery packs in a single battery cluster. After that, the preset fault tolerance number is increased on the basis of the expected number to avoid the application risk caused by the capacity not meeting expectations during actual use.

[0054] Combined with the above example, 250000÷9856=25.36, which is an integer of 26. In this embodiment, the preset fault tolerance number is 1, and an extra single battery pack is reserved to prevent the actual capacity from being insufficient, and finally the number of battery packs in series in a single battery cluster is 27.

[0055] It can be understood that after the number of battery packs in series in a single battery cluster is obtained in step S150, the number of battery modules in series in each battery pack is multiplied to calculate the target number of battery strings in the sodium ion energy storage system. Combined with the above example, the target number of battery strings = 27 × 16 = 432S.

[0056] In addition, the layout of the sodium-ion energy storage system is determined based on the target number of battery strings, the target number of battery clusters, the number of battery packs in series within a single battery cluster, the number of battery modules in parallel, the number of battery modules in series, and the number of battery cells in parallel in the battery modules.

[0057] Combining the above steps, it can be determined that the layout of the sodium-ion energy storage system includes 4 battery clusters, each battery cluster contains 27 battery packs, a single battery pack includes 16 battery modules connected in series, and each battery module includes 22 parallel cells.

[0058] In combination with the first aspect, step S160 includes: S161, determining the energy storage capacity of each battery cluster by combining the energy storage capacity of a single battery pack and the number of battery packs connected in series.

[0059] S162, calculating the product of the energy storage capacity of the battery cluster and the target number of battery clusters to obtain the target energy storage capacity of the sodium ion energy storage system.

[0060] In combination with steps S110-S150, each battery cluster in the sodium ion energy storage system includes 27 battery packs connected in parallel, each battery pack includes 16 battery modules connected in series, and each battery module includes 22 battery cells connected in parallel. In step S160, the power of a single battery cluster is calculated = 9.856×27=266.112KWh, and then the power of a single battery cluster is 266.112KWh multiplied by the number of battery clusters (4 in combination with the above example), to obtain the target energy storage capacity of the sodium ion energy storage system = 266.112×4≈1.064MKh.

[0061] In combination with the first aspect, the method further includes: S210, obtaining the time period attributes and electricity price of the current time period; S220, determining a target charging and discharging state according to time period attributes and electricity prices.

[0062] In this embodiment, the time period attributes include season attributes (December-January is winter, July-August is summer, February-June, September-November are spring and autumn), time period attributes (such as 11:00-12:00), time interval attributes (such as 1h), power demand attributes (including normal period, valley period, peak period and peak period). The electricity price is based on the application destination. For example, if the destination is Tianjin, the electricity price is the local electricity quotation in Tianjin. It is understandable that charging should be carried out during the period with lower electricity prices, and discharging should be carried out when the electricity price is higher, so as to obtain the maximum electricity benefit.

[0063] As shown in Table 1-1, Table 1-2 and Table 1-3, the time period attributes of each time period can be obtained. For example, if the current time is 18:30, then the time period attribute is 18:00-19:00, the time interval attribute is 1h, the power demand attribute is the peak period, and the corresponding electricity price is 1.7131 yuan / kWh. Referring to Table 1-1, it can be seen that the electricity price is high during the peak period and it is suitable to discharge at this time. Similarly, during the low period of electricity consumption, the electricity price is low, and it is suitable to charge at this time. In this way, charging during the period of low electricity price and discharging during the period of high electricity price has a higher electricity benefit. In addition, in this embodiment, a two-charge and two-discharge strategy is adopted to control the sodium ion energy storage system on each natural day. That is, charging is performed during two low periods and discharging is performed during two peak periods. It can be understood that the current of the system needs to reach 1C discharge to maximize the benefits.

[0064] Table 1-1 is a schematic diagram of the corresponding relationship between the attributes of the sodium ion energy storage system application destination in the winter period and the electricity price.

[0065]

[0066] Table 1-2 is a schematic diagram of the corresponding relationship between the attributes of the sodium ion energy storage system application destination and the electricity price during the summer period.

[0067]

[0068] Table 1-3 is a schematic diagram of the corresponding relationship between the time attributes and electricity prices of the sodium-ion energy storage system application destination in other seasons (spring and autumn).

[0069]

[0070] In combination with the first aspect, the method further includes: S310, obtaining a first temperature value of a battery cell in a sodium ion energy storage system.

[0071] S320: Determine whether the first temperature value is less than a first temperature threshold.

[0072] S330, controlling the operation of the heating mechanism to heat the battery cells in the sodium ion energy storage system.

[0073] S340, obtaining a second temperature value of the heated battery cell.

[0074] S350, if the second temperature value is greater than the second temperature threshold, or the temperature difference between the battery cells is greater than the third temperature threshold, controlling the heating mechanism to stop operating; The third temperature threshold is smaller than the first temperature threshold, and the first temperature threshold is smaller than the second temperature threshold.

[0075] In this embodiment, the temperature of the battery cell in the sodium ion energy storage system is monitored, and heating is performed when the temperature is low. After the battery cell is heated, the temperature is monitored again. If the temperature of the battery cell is too high or the temperature difference is greater than the third temperature threshold, the heating should be stopped in time to avoid excessive temperature of the battery cell caused by continuous heating. In this way, by turning on or off the heating mechanism, the battery cell is maintained within the normal operating temperature range (about 40°C) to ensure the normal operation of the battery cell and reduce performance degradation.

[0076] In a second aspect, the present application embodiment provides a device for recommending energy storage capacity, in combination with Figure 3 As shown, the device includes: a first calculation module 10, a second calculation module 20, a determination module 30, a third calculation module 40, a fourth calculation module 50 and a fifth calculation module 60.

[0077] The first calculation module 10 is used to calculate the value range of the number of battery strings of the sodium ion energy storage system according to the PCS range, battery cell test data, and target battery cell capacity.

[0078] The second calculation module 20 is used to calculate the number of parallel cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the battery cell, the rated voltage of the battery cell and the value range of the number of battery strings.

[0079] The determination module 30 is used to determine the number of battery modules connected in series in a single battery pack based on a preset structural arrangement rule; The third calculation module 40 is used to calculate the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in parallel in the single battery module.

[0080] The fourth calculation module 50 is used to calculate the number of battery packs connected in series in a single battery cluster according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack.

[0081] The fifth calculation module 60 is used to calculate the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

[0082] In a third aspect, the present application provides an electronic device, Figure 4 As shown, the electronic device includes a memory 131 and a processor 130. The memory 131 is used to store computer programs, and the processor 130 runs the computer programs to enable the electronic device to perform the above method.

[0083] Furthermore, combined with Figure 4The electronic device shown further includes a bus 132 and a communication interface 133 , and the processor 130 , the communication interface 133 and the memory 131 are connected via the bus 132 .

[0084] The memory 131 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 133 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 132 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0085] The processor 130 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 130. The above processor 130 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 131, and the processor 130 reads the information in the memory 131 and completes the steps of the method of the above embodiment in combination with its hardware.

[0086] In a fourth aspect, an embodiment of the present application provides a readable storage medium, in which computer program instructions are stored. When the computer program instructions are read and executed by a processor, the above method is executed.

[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0088] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0089] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0090] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0091] Finally, it should be noted that the above embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above embodiments, those skilled in the art should understand that any person skilled in the art can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for recommending energy storage capacity, characterized in that: The method comprises: Calculate the range of battery string numbers for the sodium-ion energy storage system based on the PCS range, battery cell test data, and target battery cell capacity; Calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the battery cell, the rated voltage of the battery cell, and the value range of the number of battery strings; Determine the number of battery modules connected in series in a single battery pack based on a preset structural arrangement rule; Calculate the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel; Calculate the number of battery packs connected in series in a single battery cluster according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack; The target energy storage capacity is calculated by combining the energy storage capacity of the single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

2. The method according to claim 1, characterized in that The steps of calculating the value range of the number of battery strings of the sodium-ion energy storage system according to the PCS range, the battery cell test data, and the target battery cell capacity include: Get battery cell test data; Obtain the voltage value range of the battery cell corresponding to the target capacity of the battery cell; According to the PCS range and the voltage value range, the value range of the number of battery strings of the sodium ion energy storage system is determined.

3. The method according to claim 1, characterized in that The step of calculating the number of parallel-connected cells in a battery module and the energy storage capacity of a single battery pack according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the cell monomer, the rated voltage of the cell monomer and the value range of the number of battery strings includes: Calculating the quotient of the expected energy storage capacity and the target number of battery clusters to obtain the expected power of a single battery cluster; The number of parallel-connected cells in each of the battery modules is determined according to the expected power, the rated capacity of the cell, the rated voltage of the cell and the value range of the number of battery strings.

4. The method according to claim 3, characterized in that The step of calculating the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel also includes: The product of the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in the single battery module connected in parallel is calculated to obtain the energy storage capacity of the single battery pack.

5. The method according to claim 1, characterized in that The step of determining the target energy storage capacity by combining the energy storage capacity of the single battery pack, the number of battery packs connected in series, and the target number of battery clusters includes: Determine the energy storage capacity of each battery cluster by combining the energy storage capacity of the single battery pack and the number of battery packs connected in series; The product of the energy storage capacity of the battery cluster and the target number of battery clusters is calculated to obtain the target energy storage capacity of the sodium ion energy storage system.

6. The method according to claim 1, characterized in that The method further comprises: Get the time period attributes and electricity price of the current time period; A target charging and discharging state is determined according to the time period attribute and the electricity price.

7. The method according to claim 1, characterized in that The method comprises: Acquire a first temperature value of a battery cell in the sodium ion energy storage system; Determining whether the first temperature value is less than a first temperature threshold; Controlling the operation of the heating mechanism to heat the battery cells in the sodium ion energy storage system; Acquire a second temperature value of the battery cell after heating; If the second temperature value is greater than a second temperature threshold, or the temperature difference of the battery cell is greater than a third temperature threshold, controlling the heating mechanism to stop operating; The third temperature threshold is smaller than the first temperature threshold, and the first temperature threshold is smaller than the second temperature threshold.

8. A device for recommending energy storage capacity, characterized in that: The device comprises: The first calculation module is used to calculate the value range of the number of battery strings of the sodium ion energy storage system according to the PCS range, battery cell test data, and target battery cell capacity; A second calculation module is used to calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the target number of battery clusters, the rated capacity of the battery cell, the rated voltage of the battery cell and the value range of the number of battery strings; A determination module, used to determine the number of battery modules connected in series in a single battery pack based on a preset structural arrangement rule; A third calculation module is used to calculate the energy storage capacity of the single battery pack according to the number of battery modules connected in series, the rated voltage of the battery cell, the rated capacity of the battery cell and the number of battery cells in parallel in the single battery module; a fourth calculation module, configured to calculate the number of battery packs connected in series in a single battery cluster according to the expected energy storage capacity, the target number of battery clusters, and the energy storage capacity of the single battery pack; The fifth calculation module is used to calculate the target energy storage capacity by combining the energy storage capacity of the single battery pack, the number of battery packs connected in series, and the target number of battery clusters.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method according to any one of claims 1 to 7 is executed.

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