A method for recommending energy storage capacity

Abstract

The present invention relates to the field of energy storage technologies, and in particular, to a method for recommending energy storage capacity. The method includes: calculating the value range of the number of battery strings of a sodium-ion energy storage system according to the PCS range, cell test data, and target cell capacity; calculating the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of a single cell, the rated voltage of a single cell, and the value range of the number of battery strings. This application calculates the value range of the voltage strings based on cell test data and target cell capacity. Then, it calculates the number of parallel-connected cells in a single battery module in combination with the expected energy storage capacity, and determines the number of series-connected battery modules in a single battery pack based on a preset structure arrangement rule, thereby calculating the energy storage capacity of a single battery pack and the number of series-connected battery packs in a single battery cluster, so as to relatively accurately obtain the target energy storage capacity of a sodium-ion energy storage system with a target number of battery clusters.

Description

Technical Field

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

[0002] Sodium-ion energy storage has advantages such as high temperature resistance and high current impact resistance. It can still maintain high efficiency and safety performance during high-temperature operation. Sodium-ion batteries are rich in resources. The implementation of sodium-ion energy storage indicates another breakthrough in the new energy industry. Once the industrial supporting facilities are improved, the energy storage cost will be greatly reduced, and the safety will also be greatly improved.

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

[0004] In view of this, the purpose 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, and the method includes:

[0006] Calculate the value range of the number of battery strings of the sodium-ion energy storage system according to the PCS range, cell test data, and target cell capacity;

[0007] Calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of a single cell, the rated voltage of a single cell, and the value range of the number of battery strings;

[0008] Determine the number of series-connected battery modules in a single battery pack based on a preset structure arrangement rule;

[0009] Calculate the energy storage capacity of the single battery pack according to the number of series-connected battery modules, the rated voltage of the single cell, the rated capacity of the single cell, and the number of parallel-connected cells in the single battery module;

[0010] Calculate the number of series-connected battery packs according to the expected energy storage capacity, the number of target battery clusters, and the energy storage capacity of the single battery pack;

[0011] Calculate the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of series-connected battery packs, and the number of target battery clusters.

[0012] Combined 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, cell test data, and target cell capacity includes:

[0013] Obtain cell test data;

[0014] Obtain the voltage value range of the single battery cells corresponding to the target capacity of the battery cells;

[0015] Determine the 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.

[0016] Combined with the first aspect, the steps of calculating the parallel number of battery cells in the battery module and the energy storage capacity of a single battery pack according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of the single battery cell, the rated voltage of the single battery cell, and the value range of the number of battery strings include:

[0017] Calculate the quotient of the expected energy storage capacity and the number of target battery clusters to obtain the expected power of a single battery cluster;

[0018] Determine the parallel number of battery cells in each battery module according to the expected power, the rated capacity of the single battery cell, the rated voltage of the single battery cell, and the value range of the number of battery strings.

[0019] Combined with the first aspect, the steps of calculating the energy storage capacity of the single battery pack according to the number of series connections of the battery module, the rated voltage of the single battery cell, the rated capacity of the single battery cell, and the parallel number of battery cells in the single battery module further include:

[0020] Calculate the product of the number of series connections of the battery module, the rated voltage of the single battery cell, the rated capacity of the single battery cell, and the parallel number of battery cells in the single battery module to obtain the energy storage capacity of the single battery pack.

[0021] Combined with the first aspect, the steps of determining the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of series connections of the battery pack, and the number of target battery clusters include:

[0022] Combine the energy storage capacity of a single battery pack and the number of series connections of the battery pack to determine the energy storage capacity of each battery cluster;

[0023] Calculate the product of the energy storage capacity of the battery cluster and the number of target battery clusters to obtain the target energy storage capacity of the sodium-ion energy storage system.

[0024] Combined with the first aspect, the method further includes:

[0025] Obtain the time period attribute and electricity price of the current time period;

[0026] Determine the target charge-discharge state according to the time period attribute and the electricity price.

[0027] Combined with the first aspect, the method further includes:

[0028] Obtain the first temperature value of the battery cells in the sodium-ion energy storage system;

[0029] Determine whether the first temperature value is less than the first temperature threshold;

[0030] Control the heating mechanism to operate to heat the battery cells in the sodium-ion energy storage system;

[0031] Obtain the second temperature value of the battery cells after heating;

[0032] 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, control the heating mechanism to stop operating;

[0033] Wherein, the third temperature threshold is less than the first temperature threshold, and the first temperature threshold is less than the second temperature threshold.

[0034] In a second aspect, the present application provides a recommended device for energy storage capacity, and the device includes:

[0035] A first calculation module, configured 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;

[0036] A second calculation module, configured to calculate the number of parallel-connected battery cells in a single battery module according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of a single battery cell, the rated voltage of a single battery cell, and the value range of the number of battery strings;

[0037] A determination module, configured to determine the number of series-connected battery modules in a single battery pack based on a preset structure arrangement rule;

[0038] A third calculation module, configured to calculate the energy storage capacity of the single battery pack according to the number of series-connected battery modules, the rated voltage of a single battery cell, the rated capacity of a single battery cell, and the number of parallel-connected battery cells in the single battery module;

[0039] A fourth calculation module, configured to calculate the number of series-connected battery packs according to the expected energy storage capacity, the number of target battery clusters, and the energy storage capacity of the single battery pack;

[0040] A fifth calculation module, configured to calculate the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of series-connected battery packs, and the number of target battery clusters.

[0041] In a third aspect, the present application provides an electronic device, which includes a memory and a processor. 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.

[0042] 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 run by a processor, the above method is executed.

[0043] The embodiments of the present invention bring the following beneficial effects: The recommended method for energy storage capacity provided by this application calculates the value range of the number of voltage strings based on the PCS range, cell test data, and the target cell capacity. Then, it calculates the number of parallel-connected cells in a single battery module in combination with the expected energy storage capacity, and determines the number of series-connected battery modules in a single battery pack based on the preset structure arrangement rule. Furthermore, it calculates the energy storage capacity of a single battery pack and the number of series-connected battery packs in a single battery cluster, 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.

[0044] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification, claims, and drawings.

[0045] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, details are described as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0047] Figure 1 Schematic flowchart of the recommended method for energy storage capacity provided by the embodiments of the present invention;

[0048] Figure 2 Schematic diagram of cell test data in the sodium-ion energy storage system provided by the embodiments of the present invention;

[0049] Figure 3 Schematic diagram of the recommended device for energy storage capacity provided by the embodiments of the present invention;

[0050] Figure 4 Schematic diagram of the structure of the electronic device provided by the embodiments of the present invention.

[0051] Reference numerals:

[0052] 10 - First calculation module, 20 - Second calculation module, 30 - Determination module, 40 - Third calculation module, 50 - Fourth calculation module, 60 - Fifth calculation module;

[0053] 130 - Processor, 131 - Memory, 132 - Bus, 133 - Communication interface. Detailed implementation manners

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0055] To facilitate the understanding of this embodiment, the technical terms designed in this application will be briefly introduced below.

[0056] PCS (Power Conversion System, energy storage converter) can control the charging and discharging processes of the battery, perform AC-DC conversion, and directly supply power to AC loads in the absence of a power grid.

[0057] The battery cell is the core component of the battery system and is composed of a positive electrode, a negative electrode, and an electrolyte in between.

[0058] The module is a battery unit composed of multiple battery cells. It usually includes battery cells, a circuit board, a connector, and a housing. The main function of the module is to assemble, connect, and protect the battery cells to meet the battery requirements of different application scenarios.

[0059] Pack is a battery pack formed by connecting multiple modules together. Its main function is to integrate the power output of the modules to a unified power output terminal and supply it to electric vehicles, energy storage systems, mobile devices, etc.

[0060] The battery cluster is a battery unit composed of multiple packs and is a basic component of large devices such as electric vehicles and energy storage systems.

[0061] After introducing the technical terms involved in this application, next, the application scenarios and design concepts of the embodiments of this application will be briefly introduced.

[0062] The prior art lacks a method for quantitatively and accurately recommending energy storage capacity configuration.

[0063] Based on this, the embodiments of this application provide a method for recommending energy storage capacity.

[0064] Embodiment 1

[0065] This application provides a method for recommending energy storage capacity. As shown in Figure 1 , this method includes:

[0066] S110. Calculate the value range of the number of battery strings of the sodium-ion energy storage system according to the PCS range, the cell test data, and the target cell capacity.

[0067] S120. Calculate the number of parallel-connected cells in a single battery module according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of a single cell, the rated voltage of a single cell, and the value range of the number of battery strings.

[0068] S130. Obtain the number of series-connected battery modules in each battery pack based on a preset structure arrangement rule.

[0069] S140. Calculate the energy storage capacity of the single battery pack according to the number of series-connected battery modules, the rated voltage of the single cell, the rated capacity of the single cell, and the number of parallel-connected cells in the single battery module.

[0070] S150. Calculate the number of series-connected battery packs in a single battery cluster according to the expected energy storage capacity, the number of target battery clusters, and the energy storage capacity of the single battery pack.

[0071] S160. Calculate the target energy storage capacity by combining the energy storage capacity of a single battery pack, the number of series-connected battery packs, and the number of target battery clusters.

[0072] The recommended method for energy storage capacity provided by this application calculates the value range of the voltage string number based on the PCS range, the cell test data, and the target cell capacity. Then, it calculates the number of parallel-connected cells in a single battery module in combination with the expected energy storage capacity, and determines the number of series-connected battery modules in a single battery pack based on a preset structure arrangement rule. Furthermore, it calculates the energy storage capacity of a single battery pack and the number of series-connected battery packs in a single battery cluster, so as to more accurately obtain the target energy storage capacity of the sodium-ion energy storage system with the number of target battery clusters.

[0073] Combined with the first aspect, step S110 includes:

[0074] S111. Obtain the cell test data.

[0075] S112. Obtain the voltage value range of the single cell corresponding to the target cell capacity.

[0076] S113. Determine the 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.

[0077] In this embodiment, in step S111, the cell test data of multiple cells to be assembled is combined with Figure 2 as shown. Then, in step S112, according to the assembled required voltage value range.

[0078] It is understandable that the main difference between sodium batteries and lithium batteries lies in the voltage. The working voltage range of lithium iron phosphate battery cells is 2.7 - 3.6V, while that of sodium battery cells is 1.5 - 3.6V. The voltage difference is even greater after assembly into a battery pack. Taking the PCS as an example, the voltage range of the currently common lithium battery system (i.e., the 416S system) is 1123.2 - 1497.6V, and the PCS voltage matching it is 1000 - 1500V; in this case, the voltage of the sodium-ion battery system is 624 - 1497.6V, and the widest range in the market for PCS is (696 - 1500V). If fully charged and discharged, it cannot meet the working range of the PCS. According to Figure 2 the cell test data shown in it, it is known that the cell 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 cell monomer is adjusted to the highest three-level alarm voltage range of 1.7 - 3.35V. In this embodiment, the voltage value of the cell monomer is 2.8V.

[0079] After that, 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 cell monomer, so as to determine the appropriate value of the number of battery strings within 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 cell monomer 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).

[0080] Combined with the first aspect, step S120 includes:

[0081] S121, calculate the quotient of the expected energy storage capacity and the number of target battery clusters to obtain the expected electricity of a single battery cluster.

[0082] S122, determine the parallel number of cells in each battery module according to the expected electricity, the rated capacity of the cell monomer, the rated voltage of the cell monomer, and the value range of the number of battery strings.

[0083] In this embodiment, combined with the above example, if the expected energy storage capacity is 1MWh and the number of target battery clusters is 4, then the expected electricity of a single battery cluster is 1MWh ÷ 4 = 0.25MWh = 250KWh.

[0084] After that, calculate the product of the rated voltage of the single battery cell, the rated capacity of the single battery cell, and the number of battery strings; then calculate the quotient of the expected power and this product to obtain the number of parallel-connected battery cells in the battery module. Combining the above example, the rated voltage of the single battery cell is 2.8V, the rated capacity of the single battery cell is 10Ah, and the value range of the number of battery strings S is 410 - 447. At this time, the number of parallel-connected battery cells = 250000÷(2.8×10×S)=20 - 22.

[0085] After that, determine the upper limit value of the expected number of parallel-connected battery cells in each battery module as the number of parallel-connected battery cells in a single battery module.

[0086] Specifically, considering the capacity loss, the number of parallel-connected battery cells selected should be at least 22. That is, a single battery module contains 22 parallel-connected battery cells, that is, the number of parallel connections is 22.

[0087] It can be understood that according to the energy storage capacity required by the working needs of the sodium-ion energy storage system and the number of target battery clusters, the parallel range of a single battery cluster can be obtained. There will be no further parallel connections in a single battery cluster except for the battery modules, that is, the parallel range of this single battery cluster is the parallel range of the battery module. After calculation in step S120, the number of parallel-connected battery cells in the battery module within a single battery cluster is obtained.

[0088] In step S130, under the condition that the number of battery modules has been determined, since the sizes of the vast majority of battery packs on the market are limited (generally, the depth is about 1m and the width is about 600mm), according to the target rules of welding and arrangement that can be achieved by arranging in the width direction, 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 series-connected battery modules.

[0089] Subsequently, in step S140, calculate the energy storage capacity of a single battery pack. Specifically:

[0090] Calculate the product of the number of series connections of the battery module, the rated voltage of the single battery cell, the rated capacity of the single battery cell, and the number of parallel-connected battery cells in a single battery module. Combining the above example, the energy storage capacity of a single battery pack = 22×10×2.8×16 = 9.856KWh.

[0091] Subsequently, based on obtaining the energy storage capacity of a single battery pack in step S140, in step S150, calculate the number of series connections of the battery packs in a single battery cluster. Specifically:

[0092] Calculate the quotient of the expected energy storage capacity, the number of target battery clusters, and the energy storage capacity of a single battery pack to obtain the number of series connections of the battery packs in a single battery cluster.

[0093] It can be understood that in step S121, the quotient of the calculated expected energy storage capacity and the target number of battery clusters is obtained, and the expected power of a single battery cluster is obtained. At this time, by calculating the quotient of the expected power and the energy storage capacity of a single battery pack, the expected number of battery packs in a single battery cluster can be obtained. Then, on the basis of the expected number, a preset fault tolerance number is added to avoid application risks caused by the actual capacity not reaching the expected value during actual use.

[0094] Combined with the above example, 250000÷9856 = 25.36, and the integer value 26 is taken. In this embodiment, the preset fault tolerance number is 1, and one more separate battery pack is reserved to prevent the actual capacity from being insufficient. Finally, the number of series-connected battery packs in a single battery cluster = 27.

[0095] It can be understood that after obtaining the number of series-connected battery packs in a single battery cluster in step S150, combined with the number of series-connected battery modules in each battery pack, the two are 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.

[0096] Moreover, combined with the target number of battery strings, the target number of battery clusters, the number of series-connected battery packs in a single battery cluster, the number of parallel-connected battery modules, the number of series-connected battery modules, and the number of parallel-connected battery cells in the battery module, the layout of the sodium-ion energy storage system is determined.

[0097] Combined with the above steps, the layout of the sodium-ion energy storage system can be determined as including 4 battery clusters, each battery cluster includes 27 battery packs, each single battery pack includes 16 series-connected battery modules, and each battery module includes 22 parallel-connected battery cells.

[0098] Combined with the first aspect, step S160 includes:

[0099] S161, combined with the energy storage capacity of a single battery pack and the number of series-connected battery packs, determine the energy storage capacity of each battery cluster.

[0100] S162, calculate 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.

[0101] Combined with steps S110 - S150, it is obtained that each battery cluster in the sodium-ion energy storage system includes 27 parallel-connected battery packs, each battery pack includes 16 series-connected battery modules, and each battery module includes 22 parallel-connected battery cells. 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 of 266.112KWh is multiplied by the number of battery clusters (4 in the above example), and the target energy storage capacity of the sodium-ion energy storage system = 266.112×4≈1.064MKh.

[0102] In combination with the first aspect, the method further includes:

[0103] S210, obtaining the period attribute and electricity price of the current period;

[0104] S220, determining the target charge and discharge state according to the period attribute and electricity price.

[0105] In this embodiment, the period attribute includes the season attribute (December - January is winter, July - August is summer, February - June and September - November are spring and autumn), the time period attribute (such as 11:00 - 12:00), the time interval attribute (such as 1h), and the electricity demand attribute (including normal period, low - valley period, peak period, and spike period). The electricity price is the electricity price based on the application destination. For example, if the destination is Tianjin, the electricity price is the local electricity price quote in Tianjin. It can be understood that charging should be carried out during the period with a lower electricity price and discharging should be carried out when the electricity price for electricity consumption is higher to obtain the maximum electricity consumption benefit.

[0106] Combined with Table 1 - 1, Table 1 - 2, and Table 1 - 3 shown, the period attribute of each 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 electricity demand attribute is the spike period, and the corresponding electricity price is 1.7131 yuan per kilowatt - hour. Referring to Table 1 - 1, it can be seen that the electricity price is relatively high during the spike period and it is suitable to discharge at this time. Similarly, during the low - valley 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 with a lower electricity price and discharging during the period with a higher electricity price can obtain a higher electricity consumption benefit. In addition, in this embodiment, in each natural day, a two - charge - two - discharge strategy is adopted to control the sodium - ion energy storage system. That is, charging is carried out during two low - valley periods and discharging is carried out during two spike periods. It can be understood that the current of the system needs to reach 1C for discharging to maximize the benefit.

[0107] Table 1 - 1 is a schematic diagram of the correspondence between the period attribute and electricity price of the application destination of the sodium - ion energy storage system in winter.

[0108]

[0109] Table 1 - 2 is a schematic diagram of the correspondence between the period attribute and electricity price of the application destination of the sodium - ion energy storage system in summer.

[0110]

[0111] Table 1 - 3 is a schematic diagram of the correspondence between the period attribute and electricity price of the application destination of the sodium - ion energy storage system in other seasons (spring, autumn).

[0112]

[0113] In combination with the first aspect, the method further includes:

[0114] S310, obtaining a first temperature value of the battery cells in the sodium-ion energy storage system.

[0115] S320, determining whether the first temperature value is less than a first temperature threshold.

[0116] S330, controlling the heating mechanism to operate to heat the battery cells in the sodium-ion energy storage system.

[0117] S340, obtaining a second temperature value of the battery cells after heating.

[0118] S350, if the second temperature value is greater than a second temperature threshold, or the temperature difference between the battery cells is greater than a third temperature threshold, controlling the heating mechanism to stop operating;

[0119] wherein, the third temperature threshold is less than the first temperature threshold, and the first temperature threshold is less than the second temperature threshold.

[0120] In this embodiment, the temperature of the battery cells in the sodium-ion energy storage system is monitored. When the temperature is too low, heating is performed. After heating the battery cells, the temperature is monitored again. If the temperature of the battery cells is too high or the temperature difference is greater than the third temperature threshold, the heating should be stopped in time to avoid the battery cells having too high a temperature caused by continuous heating. In this way, by turning on or off the heating mechanism, the battery cells are maintained within the normal operating temperature range (about 40 °C) to ensure the normal operation of the battery cells and reduce performance degradation.

[0121] In the second aspect, an embodiment of the present application provides a recommended device for 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.

[0122] The first calculation module 10 is used to calculate the value range of the number of battery strings in the sodium-ion energy storage system according to the PCS range, battery cell test data, and target battery cell capacity.

[0123] The second calculation module 20 is used to calculate the number of parallel-connected battery cells in a single battery module according to the expected energy storage capacity, the number of target battery clusters, the rated capacity of a single battery cell, the rated voltage of a single battery cell, and the value range of the number of battery strings.

[0124] The determination module 30 is used to determine the number of series-connected battery modules in a single battery pack based on a preset structure arrangement rule;

[0125] The third calculation module 40 is configured to calculate the energy storage capacity of the single battery pack according to the number of series-connected battery modules, the rated voltage of the single battery cell, the rated capacity of the single battery cell, and the number of parallel-connected battery cells in the single battery module.

[0126] The fourth calculation module 50 is configured to calculate the number of series-connected battery packs in a single battery cluster according to the expected energy storage capacity, the number of target battery clusters, and the energy storage capacity of the single battery pack.

[0127] The fifth calculation module 60 is configured to calculate the target energy storage capacity by combining the energy storage capacity of the single battery pack, the number of series-connected battery packs, and the number of target battery clusters.

[0128] In a third aspect, an embodiment of the present application provides an electronic device, which combines Figure 4 As shown, the electronic device includes a memory 131 and a processor 130. The memory 131 is used to store a computer program, and the processor 130 runs the computer program to enable the electronic device to execute the above method.

[0129] Further, the electronic device shown in Figure 4 also includes a bus 132 and a communication interface 133. The processor 130, the communication interface 133, and the memory 131 are connected through the bus 132.

[0130] Among them, the memory 131 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 133 (which can be wired or wireless), a communication connection is realized between the system network element and at least one other network element, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used. The bus 132 can be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 4 only a bidirectional arrow is used in

[0131] The processor 130 may be an integrated circuit chip with the ability to process signals. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in the processor 130 or the instructions in the form of software. The above-mentioned processor 130 may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP for short), an application specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present invention can be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium 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. This storage medium is located in the memory 131, and the processor 130 reads the information in the memory 131 and combines its hardware to complete the steps of the method in the foregoing embodiments.

[0132] In a fourth aspect, an embodiment of the present application provides a readable storage medium. When computer program instructions stored in the readable storage medium are read and run by a processor, the above-mentioned method is executed.

[0133] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems and devices described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0134] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be a direct connection or an indirect connection through an intermediate medium, and it may be the communication inside 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 situations.

[0135] When the above-mentioned 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, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0136] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is 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. Therefore, it should not be construed as a limitation to the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0137] Finally, it should be noted that the above embodiments are only specific implementation manners of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or make equivalent replacements for some of the technical features; 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 all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to 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 voltage 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; wherein, in a single battery cluster, no other parallel connection is performed except for the battery module; 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; 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; The step of calculating the value range of the number of battery strings of the sodium ion energy storage system according to the PCS voltage range, the battery cell test data, and the target battery cell capacity includes: Get battery cell test data; Obtaining a voltage value range of a battery cell corresponding to the target battery cell capacity; According to the PCS voltage range and the voltage value range, the value range of the number of battery strings of the sodium ion energy storage system is determined; wherein the number of battery strings of the sodium ion energy storage system is equal to the quotient of the PCS voltage and the voltage of the battery cell.

2. The method according to claim 1, characterized in that The step of calculating 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 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.

3. The method according to claim 2, 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.

4. 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.

5. 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.

6. 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.

7. 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 voltage range, battery cell test data, and target battery cell capacity; The 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 monomer, the rated voltage of the battery cell monomer and the value range of the number of battery strings; wherein, in a single battery cluster, no parallel connection is performed except for the battery module; 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; A fifth calculation module, used to calculate a 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; The step of calculating the value range of the number of battery strings of the sodium ion energy storage system according to the PCS voltage range, the battery cell test data, and the target battery cell capacity includes: Get battery cell test data; Obtaining a voltage value range of a battery cell corresponding to the target battery cell capacity; According to the PCS voltage range and the voltage value range, the value range of the number of battery strings of the sodium ion energy storage system is determined; wherein the number of battery strings of the sodium ion energy storage system is equal to the quotient of the PCS voltage and the voltage of the battery cell.

8. 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 6.

9. 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 6 is executed.

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