An adaptive optimal basic speed search method for adjustable speed air-cooled energy storage system

Abstract

The invention relates to the field of heat dissipation control technology, and specifically discloses an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, comprising: defining a plurality of basic speed values ​​of each fan based on an adjustable speed range and a preset adjustment ratio range and a speed adjustment step ratio of each fan in the air-cooled energy storage system; continuously controlling the fan speed of each battery cluster in the air-cooled energy storage system based on a quasi-dichotomy method, and at the same time, monitoring the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster to obtain a continuous control record of each battery cluster; determining the optimal basic speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters; and effectively optimizing the performance of the air-cooled energy storage system, extending battery life, reducing system operating costs, and improving energy utilization efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of heat dissipation control, and in particular to a method for finding an adaptive optimal basic speed of an adjustable speed air-cooled energy storage system. Background Art

[0002] With the continuous development of energy storage technology, air-cooled energy storage systems are increasingly used in the power sector. In order to ensure the efficient and stable operation of the energy storage system, it is crucial to optimize its heat dissipation effect. In today's energy storage market, air-cooled energy storage systems are an important component, and their temperature control is the focus of efficient operation of the system. Fans are key heat dissipation components of air-cooled energy storage systems, and the reasonable control of their speed directly affects the performance and life of the system. Different from conventional fixed-speed air-cooling systems, systems with adjustable fan speeds have better temperature control effects. In actual applications, due to the constantly changing working conditions of the energy storage system and the different charging and discharging conditions of the battery clusters, the fan speed needs to be adjusted according to different working conditions to achieve the best heat dissipation effect.

[0003] However, existing fan speed control methods are often relatively fixed or inflexible, making it difficult to adapt to complex and changing working environments. The actual working range and requirements of the system may not be fully considered, resulting in inaccurate control. As a result, the air-cooled energy storage system may not be able to adjust the optimal basic speed in time according to the real-time changing working conditions, affecting the heat dissipation effect. The speed control system controls the speed of each battery fan at different speeds based on the basic speed, thereby achieving optimal temperature control of the energy storage system, reducing battery temperature differences, and enhancing voltage consistency, thereby improving system cycle efficiency and investment benefits. Considering factors such as air conditioning cooling effect, air duct system, battery layout, container design, etc., each energy storage battery cluster has a different optimal basic speed, and obtaining the optimal basic speed for each system has become a difficult point.

[0004] Therefore, the present invention proposes an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system. Summary of the invention

[0005] The present invention provides an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, which is used to define multiple basic speed values ​​for each fan, providing a wealth of options for subsequent control and optimization. Based on the quasi-dichotomy method, the fan speed is continuously controlled, and the charge and discharge status and the maximum temperature difference within the cluster are monitored, so that the working conditions of the battery cluster can be fully and real-time grasped. Based on the continuous control record, the optimal basic speed of each battery cluster under different charge and discharge states is determined, which realizes the precise optimization of the air-cooled energy storage system and improves the efficiency and stability of the system. This adaptive optimal basic speed search method can effectively optimize the performance of the air-cooled energy storage system, extend battery life, reduce system operating costs, and improve energy utilization efficiency.

[0006] The present invention provides a method for finding an adaptive optimal basic speed of an adjustable speed air-cooled energy storage system, comprising:

[0007] S1: Based on the adjustable speed range, preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, define multiple basic speed values ​​for each fan;

[0008] S2: Based on the quasi-binary method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled. At the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain the continuous control record of each battery cluster.

[0009] S3: Determine the optimal basic rotation speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters.

[0010] Preferably, an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, S1: based on the adjustable speed range and preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, define multiple basic speed values ​​for each fan, including:

[0011] S101: setting the preset adjustment ratio range to be no less than 20% and greater than 80%, and setting the speed adjustment step ratio to 5%;

[0012] S102: Based on the adjustable speed range, preset adjustment ratio range, and speed adjustment step ratio of each fan in the air-cooled energy storage system, define all basic speed values ​​of each fan.

[0013] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system, S2: based on the quasi-dichotomy method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled, and at the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain the continuous control record of each battery cluster, including:

[0014] S201: Based on the class dichotomy and all basic speed values ​​of each battery cluster in the air-cooled energy storage system, a fan speed control logic diagram for each battery cluster is generated, and the maximum temperature difference within each battery cluster in each control cycle exceeding the preset maximum temperature difference is regarded as a necessary condition for the next flow step in the fan speed control logic diagram of each battery cluster;

[0015] S202: Based on the fan speed control logic diagram of each battery cluster, the fan speed of each battery cluster in the air-cooled energy storage system is controlled in multiple consecutive cycles. At the same time, the charge and discharge status of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored, and the continuous control record of each battery cluster is obtained based on the charge and discharge status of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram.

[0016] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system, S202: based on the fan speed control logic diagram of each battery cluster, the fan speed of each battery cluster in the air-cooled energy storage system is controlled in multiple continuous cycles, and at the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored, and the continuous control record of each battery cluster is obtained based on the charge and discharge state of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram, including:

[0017] Based on the maximum temperature difference within each battery cluster in each control cycle and the judgment conditions of all control cycle flow steps in the fan speed control logic diagram of the corresponding battery cluster and the necessary conditions of each remaining flow step except the first flow step, the fan speed control logic diagram of the corresponding battery cluster is traversed step by step;

[0018] At the same time, the charge and discharge state and the maximum temperature difference within the cluster of each battery cluster in each control cycle are monitored. When the maximum temperature difference within the cluster of a single battery cluster in the corresponding control cycle does not exceed the preset maximum temperature difference, the charge and discharge state and the basic speed value of the corresponding battery cluster in the corresponding control cycle are regarded as a valid speed control record of the corresponding battery cluster, and the basic speed value of the fan of the corresponding battery cluster is kept unchanged in the next control cycle, until the newly obtained maximum temperature difference within the cluster of the corresponding battery cluster in the latest control cycle exceeds the preset maximum temperature difference, then the basic speed value of the fan in the next control cycle is controlled based on the next flow step of the battery cluster in the corresponding fan speed control logic diagram;

[0019] When each battery cluster traverses the corresponding fan speed control logic diagram, it is determined whether the corresponding battery cluster contains at least one valid speed control record. If so, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained and all valid speed control records of the corresponding battery cluster are regarded as the continuous control record of each battery cluster. Otherwise, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained is regarded as the continuous control record of each battery cluster.

[0020] Preferably, the adaptive optimal basic speed search method of the adjustable speed air-cooled energy storage system monitors the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster, including:

[0021] Monitor the real-time charge and discharge state data of each battery cluster in each control cycle, and count all the charge state duration time periods and all the discharge state duration time periods of each battery cluster in each control cycle as the charge and discharge state of each battery cluster in each control cycle;

[0022] Based on the temperature sensor array arranged on the surface of each battery cluster, the real-time surface temperature of the corresponding battery cluster is acquired in real time, and the real-time surface temperature data acquired by each temperature sensor in the temperature sensor array arranged on the surface of each battery cluster in each control cycle is fitted in time series to obtain the surface temperature change data acquired by each temperature sensor in each control cycle;

[0023] Based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters, surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected to obtain surface temperature corrected change data of each control cycle acquired by all temperature sensors;

[0024] The surface temperature correction change data of each control cycle obtained by all temperature sensors in the temperature sensor array set on the surface of each battery cluster are aligned and subtracted to obtain multiple intra-cluster temperature difference values ​​of each cluster battery in each control cycle, and the maximum value of all intra-cluster temperature difference values ​​of each cluster battery in each control cycle is taken as the maximum intra-cluster temperature difference of each battery cluster in each control cycle.

[0025] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system is based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters, and the surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays is corrected to obtain the surface temperature correction change data of each control cycle acquired by all temperature sensors, including:

[0026] The average value of all values ​​in the surface temperature change data of each control cycle obtained by each temperature sensor is regarded as the average surface temperature obtained by each temperature sensor;

[0027] Based on the relative positions of all battery clusters in the air-cooled energy storage system, the temperature sensor arrays disposed on the surfaces of all battery clusters, and the average surface temperature acquired by all temperature sensors, a surface temperature variation trend function is determined within the coverage area of ​​all battery clusters;

[0028] The surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected based on the surface temperature change trend function to obtain the surface temperature corrected change data of each control cycle acquired by all temperature sensors.

[0029] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system corrects the surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays based on the surface temperature change trend function, and obtains the surface temperature correction change data of each control cycle acquired by all temperature sensors, including:

[0030] Based on the surface temperature change trend function, the values ​​at the same time in the surface temperature change data of the same control cycle acquired by all temperature sensors in all temperature sensor arrays are simultaneously corrected to obtain the surface temperature correction values ​​at each time in each control cycle acquired by all temperature sensors;

[0031] Based on the moving average method, smooth fitting correction is performed on the surface temperature correction values ​​at all moments in each control cycle obtained by each temperature sensor to obtain surface temperature correction change data of each control cycle obtained by the temperature sensor.

[0032] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system, S3: determining the optimal basic speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters, including:

[0033] S301: When the continuous control record of a single battery cluster does not include a valid speed control record, the charge and discharge state and basic speed value of the control cycle of the single battery cluster at the minimum value of the maximum temperature difference within the cluster of all control cycles currently obtained are regarded as a nearly effective speed control record of the corresponding battery cluster, and the weight of the corresponding nearly effective speed control record is calculated based on the maximum temperature difference within the cluster of the corresponding control cycle and the preset maximum temperature difference;

[0034] S302: when the continuous control records of a single battery cluster include a valid rotation speed control record, the weights of all continuous control records of the single battery cluster are set to 1;

[0035] S303: Determine the optimal basic speed of each battery cluster under each charge and discharge state based on nearly effective speed control records of all battery clusters and corresponding weights or all effective speed control records and corresponding weights.

[0036] Preferably, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system, S503: based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights, determining the optimal basic speed of each battery cluster under each charge and discharge state, including:

[0037] Determine the relative cluster position of each battery cluster in the air-cooled energy storage system;

[0038] An optimal basic speed retrieval model is constructed based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system;

[0039] The relative cluster position and charge and discharge state of each battery cluster are input into the optimal basic speed retrieval model, and then the optimal basic speed of each battery cluster under each charge and discharge state is obtained.

[0040] Preferably, the adaptive optimal basic speed search method of the adjustable speed air-cooled energy storage system builds an optimal basic speed retrieval model based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system, including:

[0041] Based on the relative cluster positions of all battery clusters in the air-cooled energy storage system, the charge and discharge states of all battery clusters in the same control cycle are summarized and marked to obtain the battery cluster state model of the air-cooled energy storage system in each control cycle;

[0042] Mark all nearly effective speed control records of all battery clusters and their corresponding weights or all effective speed control records and their corresponding weights in the battery cluster state model of the air-cooled energy storage system in all control cycles to obtain a battery cluster state-control record assignment model of the air-cooled energy storage system;

[0043] The optimal basic speed retrieval model is built based on the battery cluster state-control record assignment model of the air-cooled energy storage system.

[0044] The beneficial effects of the present invention compared to the prior art are as follows: by defining multiple basic speed values ​​for each fan, a wealth of options are provided for subsequent control and optimization. By continuously controlling the fan speed based on the quasi-dichotomy method and monitoring the charge and discharge status and the maximum temperature difference within the cluster, the working conditions of the battery cluster can be fully and real-time grasped. Based on the continuous control record, the optimal basic speed of each battery cluster under different charge and discharge conditions is determined, which realizes the precise optimization of the air-cooled energy storage system and improves the efficiency and stability of the system. This adaptive optimal basic speed search method can effectively optimize the performance of the air-cooled energy storage system, extend battery life, reduce system operating costs, and improve energy utilization efficiency.

[0045] 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 can be realized and obtained by the structures specifically pointed out in this application document.

[0046] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 A flow chart of a method for finding an adaptive optimal basic speed for an adjustable speed air-cooled energy storage system in an embodiment of the present invention;

[0049] Figure 2 is a flowchart of a specific execution method of step S1 in an embodiment of the present invention;

[0050] Figure 3 is a flowchart of a specific execution method of step S2 in an embodiment of the present invention;

[0051] Figure 4 4 is a flowchart of a specific execution method of step S3 in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0053] Embodiment 1:

[0054] The present invention provides an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, referring to Figure 1 ,include:

[0055] S1: Based on the adjustable speed range, preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, define multiple basic speed values ​​for each fan;

[0056] S2: Based on the quasi-binary method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled. At the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain the continuous control record of each battery cluster.

[0057] S3: Determine the optimal basic rotation speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters.

[0058] In this embodiment, the air-cooled energy storage system refers to a system that uses air cooling to achieve heat dissipation for energy storage and release.

[0059] In this embodiment, the adjustable speed range is the speed interval within which the fan can adjust its speed.

[0060] In this embodiment, the preset adjustment ratio range is a preset ratio range in which the fan speed can be adjusted.

[0061] In this embodiment, the speed adjustment step ratio is the percentage of change relative to the maximum adjustable speed each time the fan speed is adjusted when generating the basic speed value.

[0062] In this embodiment, the multiple basic speed values ​​of the fan are multiple basic speed values ​​set for the fan under specific conditions.

[0063] In this embodiment, the quasi-binary search method is similar to a method of binary search to find a target by gradually narrowing the scope.

[0064] In this embodiment, the control period is a fixed time period during which the system is controlled, such as one day.

[0065] In this embodiment, the charge and discharge state refers to the situation that the battery is being charged or discharged.

[0066] In this embodiment, the maximum temperature difference within the cluster is the maximum value of the difference between the maximum value and the minimum value of the surface temperature at different positions of a battery cluster within one control cycle.

[0067] In this embodiment, the continuous control record is a record of relevant data during the continuous control of the fan speed.

[0068] In this embodiment, the optimal basic speed of each battery cluster in each charge and discharge state is the fan basic speed that can optimize the battery cluster performance (small temperature difference within the cluster, thereby achieving better battery heat dissipation effect) under a specific charge and discharge state.

[0069] The beneficial effects of the above technology are: by defining multiple basic speed values ​​for each fan, a rich selection is provided for subsequent control and optimization. Based on the quasi-dichotomy method, the fan speed is continuously controlled, and the charge and discharge status and the maximum temperature difference within the cluster are monitored, so that the working conditions of the battery cluster can be fully and real-timely grasped. Based on the continuous control record, the optimal basic speed of each battery cluster under different charge and discharge conditions is determined, which realizes the precise optimization of the air-cooled energy storage system and improves the efficiency and stability of the system. This adaptive optimal basic speed search method can effectively optimize the performance of the air-cooled energy storage system, extend battery life, reduce system operating costs, and improve energy efficiency.

[0070] Embodiment 2:

[0071] Based on Example 1, an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, S1: Based on the adjustable speed range and preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, define multiple basic speed values ​​for each fan, refer to Figure 2 ,include:

[0072] S101: setting the preset adjustment ratio range to be no less than 20% and greater than 80%, and setting the speed adjustment step ratio to 5%;

[0073] S102: Based on the adjustable speed range, preset adjustment ratio range, and speed adjustment step ratio of each fan in the air-cooled energy storage system, define all basic speed values ​​of each fan.

[0074] In this embodiment, all basic speed values ​​of each fan include: S20, S25, S30, S35, S40, S45, S50, S55, S60, S65, S70, S75, S80;

[0075] And S20 is equal to 20% of the maximum value in the adjustable speed range of each fan in the air-cooled energy storage system;

[0076] S25 is equal to 25% of the maximum value in the adjustable speed range of each fan in the air-cooled energy storage system;

[0077] By analogy, S30, S35, S40, S45, S50, S55, S60, S65, S70, S75, and S80 are respectively equal to 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, and 80% of the maximum value in the adjustable speed range of each fan in the air-cooled energy storage system.

[0078] The beneficial effects of the above technology are: setting the preset adjustment ratio range to not less than 20% and greater than 80%, and setting the speed adjustment step ratio to 5%, so that the setting of the adjustment ratio and step ratio is more reasonable and targeted. Defining all the basic speed values ​​of each fan based on a reasonably set range and ratio can provide more accurate and effective basic data for subsequent speed control and optimization, which helps to improve the performance optimization effect and adaptability of the air-cooled energy storage system. Through the careful setting of the adjustment ratio and step ratio, the definition of the basic speed value of the fan can be better realized, laying the foundation for improving the operating efficiency and stability of the entire air-cooled energy storage system.

[0079] Embodiment 3:

[0080] Based on Example 1, an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, S2: Based on the quasi-dichotomy method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled. At the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain a continuous control record of each battery cluster, refer to Figure 3 ,include:

[0081] S201: Based on the class dichotomy and all basic speed values ​​of each battery cluster in the air-cooled energy storage system, a fan speed control logic diagram for each battery cluster is generated, and the maximum temperature difference within each battery cluster in each control cycle exceeding the preset maximum temperature difference is regarded as a necessary condition for the next flow step in the fan speed control logic diagram of each battery cluster;

[0082] S202: Based on the fan speed control logic diagram of each battery cluster, the fan speed of each battery cluster in the air-cooled energy storage system is controlled in multiple consecutive cycles. At the same time, the charge and discharge status of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored, and the continuous control record of each battery cluster is obtained based on the charge and discharge status of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram.

[0083] In this embodiment, when the battery cluster is not in operation, if the temperature difference within the cluster is within two degrees, it operates at the minimum speed;

[0084] Calculate the maximum intra-cluster temperature difference for each day;

[0085] When the daily charge and discharge time exceeds two hours and the maximum temperature difference is higher than 5 degrees, the basic speed switching calculation is enabled, otherwise the current basic speed is maintained;

[0086] Control by single cluster;

[0087] Find the best base speed using the binary search method:

[0088] Define basic speed: S20, S25, S30, S35, S40, S45, S50, S55, S60, S65, S70, S75, S80;

[0089] Define the maximum temperature difference of the day: T20, T25, T30, T35, T40, T45, T50, T55, T60, T65, T70, T75, T80;

[0090] On the first day, the initial value S20 is used for control, and the maximum temperature difference T20 on the first day is calculated. If the maximum temperature difference T20 on the first day exceeds 5 degrees and the cumulative running time of the battery cluster exceeds 2 hours, the basic speed is switched to S80 on the second day;

[0091] On the second day, calculate the maximum temperature difference T80 of the day. If the maximum temperature difference T80 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch to the basic speed on the third day, and the switching value is S50;

[0092] On the third day, calculate the maximum temperature difference T50 of the day. If the maximum temperature difference T50 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the fourth day. The switching value is divided into two cases:

[0093] 1) T20<=T80, the switching value is S35;

[0094] On the 4th day, calculate the maximum temperature difference T35 of the day. If the maximum temperature difference T35 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 5th day. The switching value is divided into two cases:

[0095] 1.1) T20<=T50, the switching value is S25;

[0096] On the 5th day, calculate the maximum temperature difference T25 of the day. If the maximum temperature difference T25 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 6th day, and the switching value is S30;

[0097] 1.2) T20>T50, the switching value is S45;

[0098] On the 5th day, calculate the maximum temperature difference T45 of the day. If the maximum temperature difference T45 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 6th day, and the switching value is S40;

[0099] 2) T20>T80, the switching value is S65;

[0100] On the 4th day, calculate the maximum temperature difference T65 of the day. If the maximum temperature difference T65 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 5th day. The switching value is divided into two cases:

[0101] 2.1) T80<=T50, the switching value is S75;

[0102] On the 5th day, calculate the maximum temperature difference T75 of the day. If the maximum temperature difference T75 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 6th day, and the switching value is S70;

[0103] 2.2) T80>T50, the switching value is S55;

[0104] On the 5th day, calculate the maximum temperature difference T45 of the day. If the maximum temperature difference T45 of the day exceeds 5 degrees and the cumulative running time exceeds 2 hours, switch the basic speed on the 6th day, and the switching value is S60;

[0105] In the above steps, if the cumulative running time for the day is less than 2 hours, or the maximum temperature difference for the day is not higher than 5 degrees, the basic speed will be kept unchanged the next day (that is, the maximum temperature difference within each battery cluster in each control cycle exceeding the preset maximum temperature difference will be regarded as a necessary condition for the corresponding next flow step in the fan speed control logic diagram of each battery cluster).

[0106] There are 4 routes in total:

[0107] S20->S80->S50->S35->S25->S30;

[0108] S20->S80->S50->S35->S45->S40;

[0109] S20->S80->S50->S65->S75->S70;

[0110] S20->S80->S50->S65->S55->S60;

[0111] If the highest temperature difference of the day is not less than 5 degrees in any of the above routes, the speed will be switched again on the 7th day, with a total of 8 routes traversing 13 speeds (i.e. all possible execution paths included in the fan speed control logic diagram):

[0112] S20->S80->S50->S35->S25->S30->S45->S40->S65->S75->S70->S55->S60

[0113] S20->S80->S50->S35->S25->S30->S45->S40->S65->S55->S60->S75->S70

[0114] S20->S80->S50->S35->S45->S40->S25->S30->S65->S75->S70->S55->S60

[0115] S20->S80->S50->S35->S45->S40->S25->S30->S65->S55->S60->S75->S70

[0116] S20->S80->S50->S65->S75->S70->S55->S60->S35->S25->S30->S45->S40

[0117] S20->S80->S50->S65->S75->S70->S55->S60->S35->S45->S40->S25->S30

[0118] S20->S80->S50->S65->S55->S60->S75->S70->S35->S25->S30->S45->S40

[0119] S20->S80->S50->S65->S55->S60->S75->S70->S35->S45->S40->S25->S30

[0120] The longest route is completed in 13 days. If there is no temperature not higher than 5 degrees, the speed corresponding to the lowest temperature difference among the 13 basic speeds will be taken.

[0121] In this embodiment, the fan speed control logic diagram of the battery cluster is a tree-like logic flow chart used to describe and control the fan speed change rules and processes of the battery cluster. It consists of multiple executable basic speeds, and each basic speed has a corresponding judgment condition before execution.

[0122] In this embodiment, the preset maximum temperature difference is a preset maximum value of the temperature difference inside the battery cluster, for example, 5 degrees.

[0123] In this embodiment, the necessary condition corresponding to the next flow step in the fan speed control logic diagram of the battery cluster refers to the condition that must be satisfied in order to enter the next step of the process in the fan speed control logic diagram.

[0124] In this embodiment, a plurality of consecutive cycles refers to a plurality of consecutive control cycles.

[0125] The beneficial effects of the above technology are: generating a fan speed control logic diagram based on the class dichotomy, and taking the maximum temperature difference within the cluster exceeding the preset maximum temperature difference as a necessary condition for the next flow step, making the control logic more rigorous and scientific. The fan speed of the battery cluster is continuously controlled according to the fan speed control logic diagram, and the charging and discharging status and the maximum temperature difference within the cluster are monitored at the same time, so as to fully and accurately grasp the working condition of the battery cluster. By traversing the fan speed control logic diagram to obtain continuous control records, rich and detailed data support is provided for the subsequent determination of the optimal basic speed. This control and monitoring method can effectively optimize the fan speed control of the air-cooled energy storage system, improve the stability and reliability of the system, reduce the system operation risk, and improve the efficiency of energy storage and utilization.

[0126] Embodiment 4:

[0127] Based on Example 3, an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, S202: Based on the fan speed control logic diagram of each battery cluster, the fan speed of each battery cluster in the air-cooled energy storage system is controlled in multiple continuous cycles, and at the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored, and the continuous control record of each battery cluster is obtained based on the charge and discharge state of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram, including:

[0128] Based on the maximum temperature difference within each battery cluster in each control cycle and the judgment conditions of all control cycle flow steps in the fan speed control logic diagram of the corresponding battery cluster and the necessary conditions of each remaining flow step except the first flow step, the fan speed control logic diagram of the corresponding battery cluster is traversed step by step;

[0129] At the same time, the charge and discharge state and the maximum temperature difference within the cluster of each battery cluster in each control cycle are monitored. When the maximum temperature difference within the cluster of a single battery cluster in the corresponding control cycle does not exceed the preset maximum temperature difference, the charge and discharge state and the basic speed value of the corresponding battery cluster in the corresponding control cycle are regarded as a valid speed control record of the corresponding battery cluster, and the basic speed value of the fan of the corresponding battery cluster is kept unchanged in the next control cycle, until the newly obtained maximum temperature difference within the cluster of the corresponding battery cluster in the latest control cycle exceeds the preset maximum temperature difference, then the basic speed value of the fan in the next control cycle is controlled based on the next flow step of the battery cluster in the corresponding fan speed control logic diagram;

[0130] When each battery cluster traverses the corresponding fan speed control logic diagram, it is determined whether the corresponding battery cluster contains at least one valid speed control record. If so, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained and all valid speed control records of the corresponding battery cluster are regarded as the continuous control record of each battery cluster. Otherwise, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained is regarded as the continuous control record of each battery cluster.

[0131] In this embodiment, the judgment condition of the control cycle flow step refers to a standard or basis for determining whether to flow from an operation step of the current control cycle to the next operation step.

[0132] In this embodiment, the effective rotation speed control record refers to a relevant record that can reflect that the fan rotation speed is effectively controlled and produces the expected effect.

[0133] The beneficial effects of the above technology are: the control process is made more orderly and accurate by gradually traversing according to the judgment conditions of the maximum temperature difference within the cluster and the control logic diagram. When the temperature difference does not exceed the preset maximum temperature difference, the basic speed value is kept unchanged, and the charge and discharge state and the basic speed value at this time are used as effective speed control records, which helps to save system adjustment costs and improve control efficiency. The basic speed value of the fan is adjusted only when the temperature difference exceeds the preset maximum temperature difference, ensuring the stability and energy saving of the system. The content of the continuous control record is determined by judging whether the battery cluster contains a valid speed control record, providing comprehensive and accurate data for subsequent analysis. This sophisticated control and recording method can effectively optimize the operation of the air-cooled energy storage system, improve the performance and reliability of the system, reduce energy consumption, and provide strong support for efficient and stable energy storage.

[0134] Embodiment 5:

[0135] On the basis of Example 4, the adaptive optimal basic speed search method of the adjustable speed air-cooled energy storage system monitors the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster, including:

[0136] Monitor the real-time charge and discharge state data of each battery cluster in each control cycle, and count all the charge state duration time periods and all the discharge state duration time periods of each battery cluster in each control cycle as the charge and discharge state of each battery cluster in each control cycle;

[0137] Based on the temperature sensor array arranged on the surface of each battery cluster, the real-time surface temperature of the corresponding battery cluster is acquired in real time, and the real-time surface temperature data acquired by each temperature sensor in the temperature sensor array arranged on the surface of each battery cluster in each control cycle is fitted in time series to obtain the surface temperature change data acquired by each temperature sensor in each control cycle;

[0138] Based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters, surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected to obtain surface temperature corrected change data of each control cycle acquired by all temperature sensors;

[0139] The surface temperature correction change data of each control cycle obtained by all temperature sensors in the temperature sensor array set on the surface of each battery cluster are aligned and subtracted to obtain multiple intra-cluster temperature difference values ​​of each cluster battery in each control cycle, and the maximum value of all intra-cluster temperature difference values ​​of each cluster battery in each control cycle is taken as the maximum intra-cluster temperature difference of each battery cluster in each control cycle.

[0140] In this embodiment, the real-time charge and discharge status data refers to relevant data that can reflect the charge and discharge status of the battery in real time.

[0141] In this embodiment, the charging state duration period refers to the time period during which the battery is in the charging state.

[0142] In this embodiment, the discharge state duration period refers to the time period during which the battery is in the discharge state.

[0143] In this embodiment, the temperature sensor array is a set of multiple temperature sensors arranged to measure the temperature of the surface of the battery cluster.

[0144] In this embodiment, the real-time surface temperature refers to the instantaneous temperature of the surface of the battery cluster at a certain moment.

[0145] In this embodiment, the surface temperature change data records the relevant data of the battery surface temperature changing with time or other factors.

[0146] In this embodiment, the surface temperature correction change data is data obtained by correcting and adjusting the measured surface temperature change data.

[0147] In this embodiment, the surface temperature correction change data of each control cycle obtained by all temperature sensors in the temperature sensor array arranged on the surface of each battery cluster are aligned and subtracted to obtain multiple intra-cluster temperature difference values ​​of each cluster battery in each control cycle: that is, the corrected temperature change data from different temperature sensors in the same control cycle are arranged at the same time point, and then subtracted two by two, so as to obtain multiple temperature difference values ​​inside the battery cluster in this control cycle.

[0148] The beneficial effects of the above technology are: by monitoring the real-time charge and discharge status data and counting the duration, the charge and discharge status of each battery cluster can be fully and accurately grasped. The real-time surface temperature is obtained by using the temperature sensor array, and time series fitting is performed to obtain detailed surface temperature change data. The surface temperature change data is corrected to improve the accuracy and reliability of the temperature difference data. By aligning and subtracting to obtain multiple intra-cluster temperature difference values, and determining the maximum value as the maximum intra-cluster temperature difference, the temperature difference inside the battery cluster can be accurately reflected. This comprehensive and accurate monitoring method can provide reliable data support for the optimization control of the air-cooled energy storage system, which helps to improve the performance and safety of the system, extend battery life, and reduce operational risks.

[0149] Embodiment 6:

[0150] On the basis of Example 5, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system is based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters. The surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays is corrected to obtain the surface temperature correction change data of each control cycle acquired by all temperature sensors, including:

[0151] The average value of all values ​​in the surface temperature change data of each control cycle obtained by each temperature sensor is regarded as the average surface temperature obtained by each temperature sensor;

[0152] Based on the relative positions of all battery clusters in the air-cooled energy storage system, the temperature sensor arrays disposed on the surfaces of all battery clusters, and the average surface temperature acquired by all temperature sensors, a surface temperature variation trend function is determined within the coverage area of ​​all battery clusters;

[0153] The surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected based on the surface temperature change trend function to obtain the surface temperature corrected change data of each control cycle acquired by all temperature sensors.

[0154] In this embodiment, based on the relative positions of all battery clusters in the air-cooled energy storage system, the temperature sensor arrays disposed on the surfaces of all battery clusters, and the average surface temperature acquired by all temperature sensors, a surface temperature variation trend function is determined within the coverage area of ​​all battery clusters:

[0155] Comprehensively consider the positional relationship between the various battery clusters in the air-cooled energy storage system, the array of temperature sensors installed on the surface of all battery clusters, and the average battery surface temperature obtained by all these temperature sensors. Using this information, a mathematical function that can reflect the trend of battery surface temperature changes is derived within the area occupied by all battery clusters. For example, assuming that the position distribution of battery clusters has a certain regularity, battery clusters at certain locations are more susceptible to heat dissipation, and the average surface temperature obtained by the temperature sensor also shows certain characteristics. By analyzing the relationship between these position and temperature data, a mathematical model, that is, the surface temperature change trend function, can be established to predict the possible changes in the surface temperature of battery clusters at different locations.

[0156] In this embodiment, the surface temperature variation trend function refers to a mathematical function used to describe the variation pattern of the battery surface temperature with certain factors (such as position).

[0157] The beneficial effects of the above technology are: the average value of the surface temperature change data obtained by each temperature sensor is used as the average surface temperature, which provides a basic reference value for subsequent correction. The surface temperature change trend function is determined based on the relative position of the battery cluster, the temperature sensor array and the average surface temperature, which can more accurately reflect the temperature change law of the entire system. The temperature change data is corrected according to the surface temperature change trend function, making the correction result more scientific and reliable. This correction method can improve the accuracy of the temperature data, provide strong support for more accurate control of the fan speed of the air-cooled energy storage system, help optimize system performance, enhance system stability, and ensure the safe and reliable operation of the energy storage system.

[0158] Embodiment 7:

[0159] On the basis of Example 6, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system corrects the surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays based on the surface temperature change trend function, and obtains the surface temperature correction change data of each control cycle acquired by all temperature sensors, including:

[0160] Based on the surface temperature change trend function, the values ​​at the same time in the surface temperature change data of the same control cycle acquired by all temperature sensors in all temperature sensor arrays are simultaneously corrected to obtain the surface temperature correction values ​​at each time in each control cycle acquired by all temperature sensors;

[0161] Based on the moving average method, smooth fitting correction is performed on the surface temperature correction values ​​at all moments in each control cycle obtained by each temperature sensor to obtain surface temperature correction change data of each control cycle obtained by the temperature sensor.

[0162] In this embodiment, based on the surface temperature change trend function, the values ​​at the same time in the surface temperature change data of the same control cycle acquired by all temperature sensors in all temperature sensor arrays are simultaneously corrected to obtain the surface temperature correction values ​​at each time in each control cycle acquired by all temperature sensors;

[0163] In this embodiment, the surface temperature correction value is a single temperature value obtained after correction processing is performed on the original surface temperature data acquired by the temperature sensor.

[0164] In this embodiment, a smooth fitting correction is performed on the surface temperature correction values ​​at all moments in each control cycle obtained by each temperature sensor based on the moving average method to obtain the surface temperature correction change data for each control cycle obtained by the temperature sensor: this means that the surface temperature correction values ​​of each temperature sensor at each moment in a control cycle are processed using the moving average method as a data processing method to make them smoother and more continuous, thereby obtaining the surface temperature correction change data of the temperature sensor in this control cycle to more accurately reflect the temperature change trend.

[0165] The beneficial effects of the above technology are: based on the surface temperature change trend function, the values ​​at the same time in the same control cycle are corrected simultaneously, ensuring the synchronization and consistency of the correction. The correction value is smoothed by the moving average method to eliminate noise and fluctuations in the data, making the correction result smoother and more stable. The surface temperature correction change data obtained for each control cycle is more accurate and reliable, providing a high-quality data basis for subsequent analysis and decision-making. This correction method can significantly improve the quality and accuracy of temperature data, help to more accurately monitor the temperature condition of the battery cluster, optimize fan speed control, and improve the performance and stability of the air-cooled energy storage system.

[0166] Embodiment 8:

[0167] Based on Example 1, an adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, S3: Determine the optimal basic speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters, refer to Figure 4 ,include:

[0168] S301: When the continuous control record of a single battery cluster does not include a valid speed control record, the charge and discharge state and basic speed value of the control cycle of the single battery cluster at the minimum value of the maximum temperature difference within the cluster of all control cycles currently obtained are regarded as a nearly effective speed control record of the corresponding battery cluster, and the weight of the corresponding nearly effective speed control record is calculated based on the maximum temperature difference within the cluster of the corresponding control cycle and the preset maximum temperature difference;

[0169] S302: when the continuous control records of a single battery cluster include a valid rotation speed control record, the weights of all continuous control records of the single battery cluster are set to 1;

[0170] S303: Determine the optimal basic speed of each battery cluster under each charge and discharge state based on nearly effective speed control records of all battery clusters and corresponding weights or all effective speed control records and corresponding weights.

[0171] In this embodiment, the weight of the corresponding nearly effective speed control record is calculated based on the maximum temperature difference within the cluster of the corresponding control period and the preset maximum temperature difference, including:

[0172] The inverse of the ratio of the difference between the maximum temperature difference within the cluster corresponding to the control period and the preset maximum temperature difference to the preset maximum temperature difference is used as the weight of the corresponding nearly effective speed control record.

[0173] The beneficial effects of the above technology are: when the continuous control record does not contain a valid speed control record, by calculating the weight of the nearly effective speed control record, it provides a supplement and reference for the subsequent determination of the optimal basic speed, avoiding the inaccurate judgment caused by missing data. When a valid speed control record is included, the weight is set to 1, highlighting the importance and reliability of the effective record. The optimal basic speed is determined based on the nearly effective speed control records and weights or the effective speed control records and weights of all battery clusters, making the determination process more scientific, reasonable and comprehensive. This method of comprehensively considering different situations and assigning corresponding weights can more accurately determine the optimal basic speed of each battery cluster under different charging and discharging conditions, thereby optimizing the performance of the air-cooled energy storage system, improving energy utilization efficiency, and enhancing the stability and reliability of the system.

[0174] Embodiment 9:

[0175] Based on Example 8, the adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system, S503: based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights, determining the optimal basic speed of each battery cluster under each charge and discharge state, including:

[0176] Determine the relative cluster position of each battery cluster in the air-cooled energy storage system;

[0177] An optimal basic speed retrieval model is constructed based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system;

[0178] The relative cluster position and charge and discharge state of each battery cluster are input into the optimal basic speed retrieval model, and then the optimal basic speed of each battery cluster under each charge and discharge state is obtained.

[0179] In this embodiment, the relative cluster position of each battery cluster in the air-cooled energy storage system is determined: it refers to clarifying the position of each battery cluster in the entire air-cooled energy storage system or the positional relationship between each battery cluster.

[0180] In this embodiment, the optimal basic speed retrieval model is a model used to find and determine the optimal basic speed of each battery cluster under different charge and discharge conditions. For example, in an air-cooled energy storage system, through a specific method or based on certain parameters, it is known that a certain battery cluster is located in the upper left corner of the system, which determines its relative cluster position. The optimal basic speed retrieval model is like an intelligent tool. By inputting relevant information of the battery cluster, such as location, charge and discharge status, etc., it can output the optimal basic speed of the battery cluster in this case.

[0181] The beneficial effects of the above technology are: determining the relative cluster position of each battery cluster provides important spatial dimension information for comprehensive consideration of various factors. An optimal basic speed retrieval model is built based on near-effective speed control records and weights, effective speed control records and weights, and relative cluster positions to make the model more comprehensive and accurate. By inputting the relative cluster position and charge and discharge status into the model to obtain the optimal basic speed, the scientificity and pertinence of the speed determination are improved. This comprehensive multi-factor approach can more accurately determine the optimal basic speed for each battery cluster under different charge and discharge states, further optimize the performance of the air-cooled energy storage system, improve the efficiency and stability of the system, extend the service life of the battery, and reduce the operating cost and maintenance difficulty of the system.

[0182] Embodiment 10:

[0183] On the basis of Example 9, the adaptive optimal basic speed search method of the adjustable speed air-cooled energy storage system builds an optimal basic speed search model based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system, including:

[0184] Based on the relative cluster positions of all battery clusters in the air-cooled energy storage system, the charge and discharge states of all battery clusters in the same control cycle are summarized and marked to obtain the battery cluster state model of the air-cooled energy storage system in each control cycle;

[0185] Mark all nearly effective speed control records of all battery clusters and their corresponding weights or all effective speed control records and their corresponding weights in the battery cluster state model of the air-cooled energy storage system in all control cycles to obtain a battery cluster state-control record assignment model of the air-cooled energy storage system;

[0186] The optimal basic speed retrieval model is built based on the battery cluster state-control record assignment model of the air-cooled energy storage system.

[0187] In this embodiment, the battery cluster state model is a description and summary of the charging and discharging states of the battery cluster in the air-cooled energy storage system under different control cycles.

[0188] In this embodiment, based on the relative cluster positions of all battery clusters in the air-cooled energy storage system, the charge and discharge states of all battery clusters in the same control cycle are summarized and marked to obtain a battery cluster state model of the air-cooled energy storage system in each control cycle: this means that according to the position information of the battery clusters, the charge and discharge states of all battery clusters in the same control cycle are integrated and marked, thereby forming a model of the battery cluster state in each control cycle.

[0189] In this embodiment, the battery cluster state-control record assignment model of the air-cooled energy storage system is based on the battery cluster state model, and nearly effective or effective speed control records and their corresponding weight information are added.

[0190] In this embodiment, the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights are marked on the battery cluster state model of the air-cooled energy storage system in all control cycles, and the battery cluster state-control record assignment model of the air-cooled energy storage system is obtained: that is, the relevant speed control records and weights are marked on the existing battery cluster state model, so as to obtain a richer and more comprehensive assignment model.

[0191] In this embodiment, an optimal basic speed retrieval model is built based on the battery cluster state-control record assignment model of the air-cooled energy storage system:

[0192] Obtain a large amount of data related to the battery cluster status and control record assignment of the air-cooled energy storage system as training samples. These samples should cover various battery cluster locations, charge and discharge states, near-effective or effective speed control records, and corresponding weights.

[0193] Then, the training samples are input into the neural network using the neural network training method. By continuously adjusting the parameters of the neural network, the neural network can learn the complex relationship between the battery cluster status and the control record assignment and the optimal basic speed.

[0194] During the training process, the neural network will continuously optimize its weights and biases based on the input sample data to improve the accuracy of the prediction of the optimal basic speed. In order to improve the performance and generalization ability of the model, it may be necessary to preprocess the training samples, such as data cleaning and normalization. At the same time, cross-validation and other techniques can also be used to select the optimal neural network structure and hyperparameters.

[0195] Building an optimal base speed retrieval model requires rich, accurate and representative training samples, as well as a suitable neural network architecture and training strategy to ensure that the model can accurately retrieve the optimal base speed based on the status of the battery cluster and the control record assignment.

[0196] The beneficial effects of the above technology are: based on the relative cluster position, the charge and discharge states of the same control cycle are summarized and marked to obtain the battery cluster state model, which can grasp the state distribution of the system as a whole. Nearly effective speed control records and weights or effective speed control records and weights are marked on the battery cluster state model to obtain a battery cluster state-control record assignment model, thereby realizing data integration and association. An optimal basic speed retrieval model is built based on the battery cluster state-control record assignment model, making the model building process clear and organized, and making full use of data. This step-by-step model building method can more effectively integrate and utilize various types of data in the system, providing a reliable model foundation for accurately finding the optimal basic speed, helping to improve the performance optimization effect of the air-cooled energy storage system, ensuring the stable operation of the system, and improving the efficiency of energy storage and utilization.

[0197] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An adaptive optimal basic speed search method for an adjustable speed air-cooled energy storage system, characterized in that: include: S1: Based on the adjustable speed range, preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, define multiple basic speed values ​​for each fan; S2: Based on the quasi-binary method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled. At the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain the continuous control record of each battery cluster. S3: Determine the optimal basic speed of each battery cluster under each charge and discharge state based on the continuous control records of all battery clusters, including: S301: When the continuous control record of a single battery cluster does not include a valid speed control record, the charge and discharge state and basic speed value of the control cycle of the single battery cluster at the minimum value of the maximum temperature difference within the cluster of all control cycles currently obtained are regarded as a nearly effective speed control record of the corresponding battery cluster, and the weight of the corresponding nearly effective speed control record is calculated based on the maximum temperature difference within the cluster of the corresponding control cycle and the preset maximum temperature difference; S302: When the continuous control records of a single battery cluster include a valid rotation speed control record, the weights of all continuous control records of the single battery cluster are set to 1; S303: Based on the nearly effective speed control records of all battery clusters and the corresponding weights or all effective speed control records and the corresponding weights, determining the optimal basic speed of each battery cluster under each charge and discharge state, including: Determine the relative cluster position of each battery cluster in the air-cooled energy storage system; An optimal basic speed retrieval model is constructed based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system; The relative cluster position and charge and discharge state of each battery cluster are input into the optimal basic speed retrieval model, and then the optimal basic speed of each battery cluster under each charge and discharge state is obtained.

2. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 1 is characterized in that: S1: Based on the adjustable speed range, preset adjustment ratio range and speed adjustment step ratio of each fan in the air-cooled energy storage system, multiple basic speed values ​​of each fan are defined, including: S101: setting the preset adjustment ratio range to be no less than 20% and greater than 80%, and setting the speed adjustment step ratio to 5%; S102: Based on the adjustable speed range, preset adjustment ratio range, and speed adjustment step ratio of each fan in the air-cooled energy storage system, define all basic speed values ​​of each fan.

3. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 1 is characterized in that: S2: Based on the quasi-binary method, the fan speed of each battery cluster in the air-cooled energy storage system is continuously controlled. At the same time, the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored to obtain the continuous control record of each battery cluster, including: S201: Based on the class dichotomy and all basic speed values ​​of each battery cluster in the air-cooled energy storage system, a fan speed control logic diagram for each battery cluster is generated, and the maximum temperature difference within each battery cluster in each control cycle exceeding the preset maximum temperature difference is regarded as a necessary condition for the next flow step in the fan speed control logic diagram of each battery cluster; S202: Based on the fan speed control logic diagram of each battery cluster, the fan speed of each battery cluster in the air-cooled energy storage system is controlled in multiple consecutive cycles. At the same time, the charge and discharge status of each battery cluster in each control cycle and the maximum temperature difference within the cluster are monitored, and the continuous control record of each battery cluster is obtained based on the charge and discharge status of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram.

4. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 3 is characterized in that: S202: Control the fan speed of each battery cluster in the air-cooled energy storage system in multiple consecutive cycles based on the fan speed control logic diagram of each battery cluster, and at the same time, monitor the charge and discharge state of each battery cluster in each control cycle and the maximum temperature difference within the cluster, and obtain a continuous control record of each battery cluster based on the charge and discharge state of all control cycles and the maximum temperature difference within the cluster obtained after each battery cluster traverses the corresponding fan speed control logic diagram, including: Based on the maximum temperature difference within each battery cluster in each control cycle and the judgment conditions of all control cycle flow steps in the fan speed control logic diagram of the corresponding battery cluster and the necessary conditions of each remaining flow step except the first flow step, the fan speed control logic diagram of the corresponding battery cluster is traversed step by step; At the same time, the charge and discharge state and the maximum temperature difference within the cluster of each battery cluster in each control cycle are monitored. When the maximum temperature difference within the cluster of a single battery cluster in the corresponding control cycle does not exceed the preset maximum temperature difference, the charge and discharge state and the basic speed value of the corresponding battery cluster in the corresponding control cycle are regarded as a valid speed control record of the corresponding battery cluster, and the basic speed value of the fan of the corresponding battery cluster is kept unchanged in the next control cycle, until the newly obtained maximum temperature difference within the cluster of the corresponding battery cluster in the latest control cycle exceeds the preset maximum temperature difference, then the basic speed value of the fan in the next control cycle is controlled based on the next flow step of the battery cluster in the corresponding fan speed control logic diagram; When each battery cluster traverses the corresponding fan speed control logic diagram, it is determined whether the corresponding battery cluster contains at least one valid speed control record. If so, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained and all valid speed control records of the corresponding battery cluster are regarded as the continuous control record of each battery cluster. Otherwise, the maximum temperature difference within the cluster of each battery cluster in all control cycles currently obtained is regarded as the continuous control record of each battery cluster.

5. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 4 is characterized in that: Monitor the charge and discharge status of each battery cluster in each control cycle and the maximum temperature difference within the cluster, including: Monitor the real-time charge and discharge state data of each battery cluster in each control cycle, and count all the charge state duration time periods and all the discharge state duration time periods of each battery cluster in each control cycle as the charge and discharge state of each battery cluster in each control cycle; Based on the temperature sensor array arranged on the surface of each battery cluster, the real-time surface temperature of the corresponding battery cluster is acquired in real time, and the real-time surface temperature data acquired by each temperature sensor in the temperature sensor array arranged on the surface of each battery cluster in each control cycle is fitted in time series to obtain the surface temperature change data acquired by each temperature sensor in each control cycle; Based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters, surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected to obtain surface temperature corrected change data of each control cycle acquired by all temperature sensors; The surface temperature correction change data of each control cycle obtained by all temperature sensors in the temperature sensor array set on the surface of each battery cluster are aligned and subtracted to obtain multiple intra-cluster temperature difference values ​​of each cluster battery in each control cycle, and the maximum value of all intra-cluster temperature difference values ​​of each cluster battery in each control cycle is taken as the maximum intra-cluster temperature difference of each battery cluster in each control cycle.

6. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 5 is characterized in that: Based on the relative positions of all battery clusters in the air-cooled energy storage system and the temperature sensor arrays arranged on the surfaces of all battery clusters, the surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays is corrected to obtain the surface temperature correction change data of each control cycle acquired by all temperature sensors, including: The average value of all values ​​in the surface temperature change data of each control cycle obtained by each temperature sensor is regarded as the average surface temperature obtained by each temperature sensor; Based on the relative positions of all battery clusters in the air-cooled energy storage system, the temperature sensor arrays disposed on the surfaces of all battery clusters, and the average surface temperature acquired by all temperature sensors, a surface temperature variation trend function is determined within the coverage area of ​​all battery clusters; The surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected based on the surface temperature change trend function to obtain the surface temperature corrected change data of each control cycle acquired by all temperature sensors.

7. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 6 is characterized in that: Based on the surface temperature change trend function, the surface temperature change data of each control cycle acquired by all temperature sensors in all temperature sensor arrays are corrected to obtain the surface temperature corrected change data of each control cycle acquired by all temperature sensors, including: Based on the surface temperature change trend function, the values ​​at the same time in the surface temperature change data of the same control cycle acquired by all temperature sensors in all temperature sensor arrays are simultaneously corrected to obtain the surface temperature correction values ​​at each time in each control cycle acquired by all temperature sensors; Based on the moving average method, smooth fitting correction is performed on the surface temperature correction values ​​at all moments in each control cycle obtained by each temperature sensor to obtain surface temperature correction change data of each control cycle obtained by the temperature sensor.

8. The adaptive optimal basic speed search method for the adjustable speed air-cooled energy storage system according to claim 1 is characterized in that: Based on the nearly effective speed control records and corresponding weights of all battery clusters or all effective speed control records and corresponding weights and the relative cluster positions of all battery clusters in the air-cooled energy storage system, an optimal basic speed retrieval model is built, including: Based on the relative cluster positions of all battery clusters in the air-cooled energy storage system, the charge and discharge states of all battery clusters in the same control cycle are summarized and marked to obtain the battery cluster state model of the air-cooled energy storage system in each control cycle; Mark all nearly effective speed control records of all battery clusters and their corresponding weights or all effective speed control records and their corresponding weights in the battery cluster state model of the air-cooled energy storage system in all control cycles to obtain a battery cluster state-control record assignment model of the air-cooled energy storage system; The optimal basic speed retrieval model is built based on the battery cluster state-control record assignment model of the air-cooled energy storage system.

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