Battery cluster circulating current suppression system based on switching technology and control method thereof

Abstract

The invention discloses a battery cluster circulating current suppression system based on a switching technology. The battery cluster circulating current suppression system comprises an energy storage bidirectional converter, an integrated multi-channel switching device, a plurality of battery clusters and an energy storage energy management system, the energy storage bidirectional converter is connected with a high-voltage power system through a transformer; each battery cluster comprises at least one battery module; the integrated multi-channel switching device is used for carrying out rapid switching between the plurality of battery clusters and the common bus, connecting one of the plurality of battery clusters with the energy storage bidirectional converter, switching in turn according to a control instruction in the charging and discharging process, always keeping access of only one group of battery clusters, and avoiding parallel connection; and the energy storage energy management system is used for collecting electric quantity information of each battery cluster and controlling the access state of the integrated multi-channel switching device based on a set rule so as to realize alternate switching of the battery clusters, restrain circulation and prolong the service life of the battery.

Description

Technical Field

[0001] The present invention relates to a microgrid control technology, and in particular to a battery cluster circulating current suppression system based on a switching technology and a control method thereof. Background Art

[0002] In energy storage systems, the problem of circulating current within battery clusters is a critical and long-standing technical challenge. Due to variations in cell manufacturing processes, even after rigorous screening, individual cells still exhibit slight variations in parameters such as internal resistance, capacity, and open-circuit voltage. When multiple cells form a battery cluster and operate in parallel, inconsistent parameters lead to uneven current distribution across the clusters: clusters with lower internal resistance or higher voltage are more likely to output current, while clusters with higher internal resistance or lower voltage have less output capacity. This imbalance generates excess backflow current, or "circulating current," between battery clusters.

[0003] The presence of circulating current not only directly reduces the efficiency of the energy storage system, but also causes some battery clusters to be overcharged or over-discharged during operation, further leading to premature battery aging. Over long-term operation, the circulating current problem will significantly damage the performance of some battery clusters in the system and aggravate the inconsistency of the battery cells, thus forming a vicious cycle of "performance degradation - increased circulating current - shortened life." This problem seriously restricts the stability, reliability and economy of the energy storage system. Therefore, how to effectively suppress the circulating current between battery clusters and thereby increase the service life of the entire battery cluster is a key technical issue that needs to be urgently addressed in the design and operation and maintenance of energy storage systems.

[0004] In addition to the consistency issues within the battery cells themselves, the physical structure of the wiring connecting battery clusters can also cause circulating currents. The wiring often varies in length, material, routing, and contact resistance. These factors can cause inconsistent voltage drops between different battery clusters, further increasing system voltage deviations and inducing circulating currents. Furthermore, during energy storage system operation, the operating environment (such as temperature and humidity) of each battery cluster may also vary. Temperature fluctuations, in turn, affect the battery's internal resistance and voltage characteristics, exacerbating differences in battery cell performance, complicating system operation, and further exacerbating the circulating current problem.

[0005] To address the above-mentioned issues, existing technologies have proposed methods such as selecting cells with higher consistency, optimizing the connection lines of battery clusters, installing current balancing devices between battery clusters, adopting advanced battery management systems (BMS) and distributed control strategies, and implementing dynamic current balancing control. Although these solutions have alleviated the circulating current phenomenon to a certain extent, each still has obvious limitations. For example, although screening cells with high consistency is effective, it is costly, and consistency may still degrade over time; although optimizing the lines can improve current balancing, it increases wiring complexity and occupies system space; although introducing current balancing devices helps control current distribution, it will bring additional energy loss and reduce the overall efficiency of the system; and the use of complex control strategies requires a large amount of data calculation and communication support, the control system structure is complex and difficult to implement, and when the number of battery clusters increases, the scheduling and coordination complexity of the system increases exponentially.

[0006] In summary, the existing technology still lacks a solution that can be collaboratively designed from the dual dimensions of hardware structure and control strategy, which can effectively suppress battery cluster circulation and improve system operation efficiency, while also extending the service life of the battery cluster and reducing the difficulty of system implementation. Summary of the Invention

[0007] Technical problem to be solved by the present invention: The purpose of the present invention is to solve the deficiencies in the prior art and provide a battery cluster circulating current suppression system and control method based on switching technology that can effectively suppress circulating current and improve battery life.

[0008] The technical solution of the present invention: The present invention discloses a battery cluster circulating current suppression system based on switching technology, including an energy storage bidirectional converter, an integrated multi-channel switching device, multiple battery clusters and an energy storage energy management system; the energy storage bidirectional converter is connected to a high-voltage power system via a transformer;

[0009] Each of the battery clusters includes at least one battery module;

[0010] The integrated multi-channel switching device is used to quickly switch between multiple battery clusters and a common bus, connect one of the multiple battery clusters to the energy storage bidirectional converter, and connect them in turn according to control instructions during the charging and discharging process, always keeping only one group of battery clusters connected to avoid parallel connection;

[0011] The energy storage and energy management system is used to collect power information of each battery cluster and control the access status of the integrated multi-channel switching device based on set rules to realize the rotation switching of battery clusters and suppress circulation.

[0012] Furthermore, the integrated multi-channel switching device includes multiple disconnecting units, each disconnecting unit has a moving contact and a static contact, and the moving contact is switched according to the switching control signal issued by the energy storage energy management system to ensure that the flow path is consistent with a single battery cluster.

[0013] Furthermore, the battery cluster is a lithium iron phosphate battery cluster, which adopts a 1P416S wiring method, and each battery cluster is connected to an energy storage energy management system through a current sensor and a voltage acquisition module.

[0014] Furthermore, the energy storage and energy management system controls the battery clusters according to the preset switching order based on the battery power status, giving priority to switching battery clusters with sufficient power and keeping them in a running state, while the remaining battery clusters are in a disconnected state.

[0015] Furthermore, N battery clusters are included, where N is greater than or equal to 2; the switching sequence includes: the first battery cluster, the second battery cluster... until the Nth battery cluster, which are performed in rotation to form a closed-loop switching control process.

[0016] Furthermore, the battery cluster is connected to an integrated multi-channel switching device via a cluster-level protection isolation unit and a DC surge protector in sequence; the integrated multi-channel switching device is connected to an energy storage bidirectional converter via an isolation switch fuse.

[0017] Furthermore, the energy storage and energy management system includes:

[0018] The power collection module is used to collect the real-time voltage, current, power and temperature parameters of each battery cluster;

[0019] Communication interface module, used for data interaction with the host computer or other control systems;

[0020] The control logic unit is used to execute subsequent algorithms and issue control instructions.

[0021] Furthermore, the energy storage energy management system performs the following steps to implement the circulation suppression scheduling strategy:

[0022] S1. Based on the collected battery cluster operating status, the power threshold determination algorithm is executed to eliminate battery clusters with power below the set threshold;

[0023] S2. Execute the historical operating efficiency evaluation algorithm to evaluate the cumulative working efficiency of each battery cluster and calculate its health index;

[0024] S3. Use a temperature compensation algorithm to adjust the scheduling weight to prevent battery clusters with too high or too low temperatures from participating in the switching;

[0025] S4. Execute the priority dynamic adjustment algorithm to dynamically generate a current switching priority list, and control the integrated multi-channel switching device to complete the switching of the target battery cluster.

[0026] Furthermore, the priority dynamic adjustment algorithm includes the following steps:

[0027] SA1. Calculate the weighted scheduling score Si for each battery cluster i, which is calculated as follows:

[0028] Where Qi is the remaining capacity of the current battery cluster; Qmax is the maximum capacity of all battery clusters; H i Score the historical operating efficiency of the i-th battery cluster; T i is the current battery cluster temperature; T opt is the set optimal working temperature; T tol is the allowable temperature deviation range; α, β, γ are scheduling weight coefficients, satisfying α+β+γ=1;

[0029] SA2. Score results S for all battery clusters i Sort and generate a priority list L;

[0030] SA3. Based on the number of parallel battery clusters required, select the battery clusters ranked highest from the priority list for switching.

[0031] SA4. Update the scoring and priority list in real time based on load changes or battery cluster status.

[0032] The present invention also discloses a control method based on the above system, comprising the following steps:

[0033] SB1. Real-time monitoring of the current power level of each battery cluster through the power acquisition module;

[0034] SB2. Upload the collected signal to the energy storage energy management system;

[0035] SB3. Determine the battery cluster that should be switched on and off based on the set circulating current suppression scheduling strategy;

[0036] SB4 controls the integrated multi-channel switching device to switch to the target battery cluster and disconnects the currently working battery cluster;

[0037] SB5. Repeat the above steps to achieve dynamic switching control.

[0038] The beneficial effects of the present invention compared with the prior art are as follows:

[0039] This invention utilizes an integrated multi-channel switching device to achieve rapid, single-path switching control between multiple battery clusters and the energy storage bidirectional converter. This ensures that only one battery cluster is always connected to the converter during the system's charge and discharge processes, preventing multiple battery clusters from operating in parallel. This rotating access mechanism eliminates, at the hardware level, the circulating current issues caused by voltage or internal resistance differences between battery clusters in parallel operation, ensuring the uniformity and certainty of system current distribution, significantly improving the electrical consistency and safety of the battery clusters during operation.

[0040] Secondly, the present invention incorporates a dynamic priority adjustment algorithm into the control strategy. The energy storage energy management system calculates scheduling scores and dynamically generates a switching priority list based on multiple parameters, such as the battery cluster's remaining charge, historical operating efficiency, and current temperature, to implement a scientific and rational battery cluster rotation strategy. Through mechanisms such as temperature compensation, charge threshold elimination, and health index assessment, this algorithm effectively prevents degraded battery clusters from operating for extended periods or overloads, improving the balance and health of the battery cluster's operation, thereby extending the service life of the entire energy storage battery cluster and reducing operation and maintenance costs.

[0041] Finally, this invention abandons traditional high-energy-consumption or high-complexity solutions that rely on current-sharing resistors or parallel current-sharing control of battery clusters. Instead, it adopts a physical switching and intelligent scheduling algorithm design, resulting in a clear overall system structure and distinct module division of labor. The energy storage and energy management system utilizes the power acquisition module, communication interface module, and control logic unit in a collaborative manner to achieve closed-loop control of information perception, decision-making calculation, and action execution. This eliminates the need for real-time current sharing across clusters, reducing energy loss and the burden of system redundancy design, facilitating actual project deployment and subsequent expansion. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is the electrical wiring topology diagram of the battery cluster circulating current suppression system based on switching technology in the present invention. DETAILED DESCRIPTION

[0043] In order to deepen the understanding of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings. The embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0044] Example 1

[0045] A battery cluster circulating current suppression system based on switching technology includes: an energy storage bidirectional converter 8, an integrated multi-channel switching device 7, multiple battery clusters and an energy storage energy management system; the energy storage bidirectional converter 8 is connected to a high-voltage power system 9 via a transformer 91;

[0046] Each battery cluster includes at least one battery module;

[0047] An integrated multi-channel switching device 7 is used to quickly switch between multiple battery clusters and a common busbar, connecting one of the multiple battery clusters to the energy storage bidirectional converter 8. During the charge and discharge process, the battery clusters are connected in turn according to control instructions, so that only one group of battery clusters is always connected to avoid parallel connection.

[0048] The energy storage energy management system is used to collect the power information of each battery cluster and control the access status of the integrated multi-channel switching device 7 based on the set rules to realize the rotation switching of the battery clusters and suppress the circulation current.

[0049] Preferably, a 0.4MW / 1.6MWh energy storage system uses four battery clusters, namely the first battery cluster 1, the second battery cluster 2, the third battery cluster 3, and the fourth battery cluster 4. Each battery cluster consists of multiple 3.2V / 314Ah lithium iron phosphate battery cells. Each battery cluster uses a 1P416S wiring method. The system is equipped with an energy storage energy management system (EMS), which is responsible for real-time monitoring of the charge, internal resistance, and temperature of each battery cluster. It automatically controls the multi-head switching switch to switch the battery clusters according to the battery cluster's charge status and load demand.

[0050] During charging, the EMS controls the charging mode based on the real-time charge level of each battery cluster. When the battery charge level is below 80%, constant current charging is used; when the battery charge level reaches 80%, it automatically switches to constant voltage charging, ensuring that each battery cluster is charged independently and evenly.

[0051] To prevent circulation between battery clusters, the system is designed with an all-in-one fast switching device. This device can quickly respond to the charging and discharging needs of the battery clusters according to the instructions of the EMS and switch to the corresponding battery cluster to ensure that the balance between battery clusters is maintained throughout the charging and discharging process of the entire system.

[0052] Among them, the energy storage energy management system controls the battery cluster according to the preset switching order based on the power status of the battery cluster, giving priority to switching on and off the battery cluster with sufficient power and keeping it in operation, while the remaining battery clusters are in a disconnected state.

[0053] Preferably, the switching sequence includes: the first battery cluster, the second battery cluster, the third battery cluster, and the fourth battery cluster, which are performed in rotation to form a closed-loop switching control process.

[0054] Preferably, the battery cluster is connected to the integrated multi-channel switching device 7 via the cluster-level protection isolation unit 5 and the DC surge protector 6 in sequence; the integrated multi-channel switching device 7 is connected to the energy storage bidirectional converter 8 via the isolation switch fuse.

[0055] Each battery cluster is preferably equipped with voltage, current, and temperature sensors, whose collected signals are connected to the EMS via communication lines. Based on this collected data, the EMS dynamically determines the operating status of each cluster and generates scheduling decisions, controlling the integrated multi-channel switching device 7 to switch on the target cluster. Signal communication throughout the system utilizes an RS485 or CAN bus architecture, ensuring high reliability and interference resistance.

[0056] like Figure 1 As shown, initially, the EMS activates the first battery cluster 101 and controls its corresponding disconnect unit to close, connecting this cluster to the converter and entering a charging and discharging state. The disconnect units corresponding to the remaining battery clusters are disconnected and disconnected from the DC bus, forming a single-cluster operating topology with the remaining clusters disconnected.

[0057] When the EMS detects that the SOC of the currently running battery cluster reaches the upper limit (preferably 80%) or the working time exceeds the set value, it performs a disconnection operation and connects the next battery cluster, that is, the second battery cluster 2, and so on, forming a 1→2→3→4 cycle switching process.

[0058] Through the above-mentioned structural connection and control process, the present invention completely physically isolates the direct parallel state of multiple battery clusters during operation, avoiding the generation of circulation at the source. At the same time, it combines factors such as switching sequence, SOC status and temperature to achieve intelligent scheduling and rotational use, thereby improving system safety and battery utilization efficiency.

[0059] This embodiment proposes a battery cluster circulating current suppression system based on switching technology. By introducing an integrated multi-channel switching device 7 and an energy storage energy management system (EMS), it achieves physical isolation and switching control between multiple battery clusters, effectively suppressing the circulating current problem prevalent in traditional parallel structures. This system structurally defines the electrical connection paths of each unit: the battery cluster is connected to the integrated multi-channel switching device 7 via a cluster-level protection isolation unit 5 and a DC surge protector 6; the switching device is then connected to the energy storage bidirectional converter 8 (PCS) via an isolating switch fuse; the PCS is connected to the high-voltage power grid via a transformer 91, enabling energy exchange between the system and the power grid.

[0060] The example system utilizes four battery clusters (1P416S structure, lithium iron phosphate). The EMS collects information such as voltage, current, temperature, and SOC from each cluster, enabling highly reliable communication via RS485 or CAN bus. The EMS rotates battery clusters according to predefined rules and employs a phased charging strategy (constant current → constant voltage) to ensure battery safety and balanced charging.

[0061] The system switching sequence adopts a closed-loop rotation control process (1→2→3→4→1...), ensuring that the system always maintains a safe topology structure with one cluster connected and the rest disconnected, effectively preventing any two battery clusters from operating in parallel, and improving the system's operational stability and battery utilization efficiency.

[0062] Technical effect: This embodiment achieves the elimination of the conditions for circulating current formation at the source during the charging and discharging process through the coordination of hardware structure design and software scheduling algorithm, and improves the intelligence and automation level of the system in life management and energy efficiency allocation, with good engineering feasibility and promotion value.

[0063] Example 2

[0064] A control method for the battery cluster circulating current suppression system based on Example 1 includes the following steps:

[0065] SB1. Real-time monitoring of the current power level of each battery cluster through the power acquisition module;

[0066] SB2. Upload the collected signal to the energy storage energy management system;

[0067] SB3. Determine the battery cluster that should be switched on and off based on the set circulating current suppression scheduling strategy;

[0068] SB4 controls the integrated multi-channel switching device 7 to switch to the target battery cluster, and disconnects the currently working battery cluster;

[0069] SB5. Repeat the above steps to achieve dynamic switching control.

[0070] Among them, the circulation suppression scheduling strategy includes

[0071] S1. Based on the collected battery cluster operating status, the power threshold determination algorithm is executed to eliminate battery clusters with power below the set threshold;

[0072] S2. Execute the historical operating efficiency evaluation algorithm to evaluate the cumulative working efficiency of each battery cluster and calculate its health index;

[0073] S3. Use a temperature compensation algorithm to adjust the scheduling weight to prevent battery clusters with too high or too low temperatures from participating in the switching;

[0074] S4. Execute the priority dynamic adjustment algorithm to dynamically generate a current switching priority list, and control the integrated multi-channel switching device 7 to complete the switching of the target battery cluster.

[0075] Preferably, the priority dynamic adjustment algorithm includes the following steps:

[0076] SA1. Calculate the weighted scheduling score S for each battery cluster i i , and its calculation formula is:

[0077] Where Q i The remaining power of the current battery cluster; Q max is the maximum charge of all battery clusters; H i Score the historical operating efficiency of the i-th battery cluster; T i is the current battery cluster temperature; T opt is the set optimal working temperature; T tol is the allowable temperature deviation range; α, β, γ are scheduling weight coefficients, satisfying α+β+γ=1;

[0078] SA2. Score results S for all battery clusters i Sort and generate a priority list L;

[0079] SA3. Based on the number of parallel battery clusters required, select the battery clusters ranked highest from the priority list for switching.

[0080] SA4. Update the scoring and priority list in real time based on load changes or battery cluster status.

[0081] Further preferably, the power threshold determination algorithm is that the system sets a safe operation power threshold Q th , the default value is 20%. When the current SOC of a battery cluster is lower than Q th , the battery cluster will be removed from the candidate scheduling objects to avoid being frequently switched on and off in the low power state, which will affect the lifespan.

[0082] The historical operating efficiency evaluation algorithm sets a historical operating efficiency parameter H for each battery cluster. i , can be dynamically calculated and updated based on the following formula: Where, E out,i Indicates the cumulative value of discharge output power, E charge,i Indicates the cumulative value of charging input power, t fault,i Indicates the cumulative fault duration, t total Indicates the total statistical duration.

[0083] Temperature compensation algorithm: Since battery efficiency and life are significantly affected by temperature, the scheduling penalty weight is adjusted for high or low temperature battery clusters. The adjustment factor T c The definition is as follows: Where, T i Indicates the current temperature;

[0084] T opt Indicates the target optimum temperature, preferably 25℃, T tol Indicates the allowable deviation range, preferably ±15°C.

[0085] If |Ti -T opt |>T tol , then the cluster is considered to be in an unsafe operating temperature zone and is removed.

[0086] Example 2 builds upon the energy storage system constructed in Example 1 by further proposing an intelligent control method for controlling an integrated multi-channel switching device 7 to achieve dynamic switching and circulating current suppression of battery clusters. This method, executed by an energy storage energy management system (EMS), aims to implement an adaptive scheduling control strategy through real-time analysis and multi-dimensional evaluation of the operating status of each battery cluster.

[0087] The control method first relies on a power acquisition module to continuously monitor the operating status of each battery cluster. The collected data includes key parameters such as the current state of charge (SOC), real-time temperature, voltage, current, and historical charge and discharge efficiency. All collected signals are uploaded to the EMS system for centralized processing and logical judgment. The EMS has a preset circulation suppression scheduling strategy. This strategy is not based on a simple rotation sequence, but combines multiple influencing factors in actual operation to establish a scheduling decision-making mechanism that takes into account safety, lifespan management, and load adaptability.

[0088] During operation, this strategy first uses a power threshold determination model to identify battery clusters whose current power level is below a system-set threshold (e.g., SOC < 20%) and removes them from the scheduling candidate set to prevent them from being frequently switched on and off in low-power states, thereby avoiding deep discharge and resulting loss of life. Subsequently, the EMS performs a historical operating efficiency assessment on all candidate battery clusters, constructing a health index based on each cluster's energy conversion efficiency and accumulated fault duration during historical charge and discharge processes to measure each cluster's long-term performance.

[0089] While ensuring efficiency, the system also considers the impact of thermal stability on operational safety. Using a temperature compensation algorithm, the EMS identifies battery clusters currently experiencing excessively high or low temperatures and dynamically adjusts their scheduling weights. If the temperature of a battery cluster deviates from the set optimal operating temperature by more than the tolerance range, that cluster will be restricted from participating in scheduling to prevent the risk of thermal runaway or a sudden drop in efficiency during operation.

[0090] Based on the results of this multi-dimensional data processing, the system ultimately executes a dynamic priority adjustment algorithm to construct a scheduling scoring function for all eligible battery clusters. This scoring function generates a priority list for switching on and off at the current moment by performing a weighted calculation based on the battery state, health index, and temperature stability. The scoring results are sorted in descending order of priority. The system automatically controls the integrated multi-channel switching device 7 to connect the highest-scoring battery cluster to the system while disconnecting the currently operating cluster, ensuring a smooth handover of operational tasks. The scheduling score and priority list are continuously updated during system operation to respond to changes in load, battery cluster status, and external scheduling instructions, ensuring the system is always in a dynamically optimal control state.

[0091] This embodiment upgrades the algorithm of the traditional rotation control strategy and introduces an intelligent scheduling mechanism that comprehensively considers the three core dimensions of power, efficiency, and temperature. This improves switching efficiency while significantly enhancing system operational safety and controllability. This control method not only effectively avoids circulating current problems but also manages and controls the lifespan of battery clusters, offering high engineering applicability and system upgrade value.

[0092] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the specific embodiments described above. The specific embodiments and descriptions in the specification are merely intended to further illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of the present invention is defined by the claims and their equivalents.

Claims

1. A battery cluster circulating current suppression system based on switching technology, characterized in that: include: Energy storage bidirectional converter, integrated multi-channel switching device, multiple battery clusters and energy storage energy management system; The energy storage bidirectional converter is connected to the high-voltage power system via a transformer; Each of the battery clusters includes at least one battery module; The integrated multi-channel switching device is used to quickly switch between multiple battery clusters and a common bus, connect one of the multiple battery clusters to the energy storage bidirectional converter, and connect them in turn according to control instructions during the charging and discharging process, always keeping only one group of battery clusters connected to avoid parallel connection; The energy storage and energy management system is used to collect power information of each battery cluster and control the access status of the integrated multi-channel switching device based on set rules to realize the rotation switching of battery clusters and suppress circulation.

2. The battery cluster circulating current suppression system based on switching technology according to claim 1 is characterized in that: The integrated multi-channel switching device includes multiple disconnecting units, each of which has a moving contact and a static contact. The moving contact is switched according to the switching control signal issued by the energy storage energy management system to ensure that the flow path is consistent with a single battery cluster.

3. The battery cluster circulating current suppression system based on switching technology according to claim 1 is characterized in that: The battery cluster is a lithium iron phosphate battery cluster, and each battery cluster is connected to the energy storage energy management system through a current sensor and a voltage acquisition module.

4. The battery cluster circulating current suppression system based on switching technology according to claim 1 is characterized in that: The energy storage and energy management system is controlled according to the battery cluster power status and a preset switching sequence, with battery clusters with sufficient power being switched on first and kept in a running state, while the remaining battery clusters are kept in a disconnected state.

5. The battery cluster circulating current suppression system based on switching technology according to claim 4 is characterized in that: It includes N groups of battery clusters, where N is greater than or equal to 2. The switching sequence includes: the first battery cluster, the second battery cluster... until the Nth battery cluster, which are rotated to form a closed-loop switching control process.

6. The battery cluster circulating current suppression system based on switching technology according to claim 1 is characterized in that: The battery cluster is connected to an integrated multi-channel switching device via a cluster-level protection isolation unit and a DC surge protector in sequence; the integrated multi-channel switching device is connected to an energy storage bidirectional converter via an isolation switch fuse.

7. The battery cluster circulating current suppression system based on switching technology according to any one of claims 1 to 6, characterized in that: The energy storage and energy management system includes: The power collection module is used to collect the real-time voltage, current, power and temperature parameters of each battery cluster; Communication interface module, used for data interaction with the host computer or other control systems; The control logic unit is used to execute subsequent algorithms and issue control instructions.

8. The battery cluster circulating current suppression system based on switching technology according to claim 7 is characterized in that: The energy storage energy management system performs the following steps to implement the circulation suppression scheduling strategy: S1. Based on the collected battery cluster operating status, the power threshold determination algorithm is executed to eliminate battery clusters with power below the set threshold; S2. Execute the historical operating efficiency evaluation algorithm to evaluate the cumulative working efficiency of each battery cluster and calculate its health index; S3. Use a temperature compensation algorithm to adjust the scheduling weight to prevent battery clusters with too high or too low temperatures from participating in the switching; S4. Execute the priority dynamic adjustment algorithm to dynamically generate a current switching priority list, and control the integrated multi-channel switching device to complete the switching of the target battery cluster.

9. The battery cluster circulating current suppression system based on switching technology according to claim 8 is characterized in that: The priority dynamic adjustment algorithm includes the following steps: SA1. Calculate the weighted scheduling score S for each battery cluster i i , and its calculation formula is: Where Q i The remaining power of the current battery cluster; Q max is the maximum charge of all battery clusters; H i Score the historical operating efficiency of the i-th battery cluster; T i is the current battery cluster temperature; T opt is the set optimal working temperature; T tol is the allowable temperature deviation range; α, β, γ are scheduling weight coefficients, satisfying α+β+γ=1; SA2. Score results S for all battery clusters i Sort and generate a priority list L; SA3. Based on the number of parallel battery clusters required, select the battery clusters ranked highest from the priority list for switching. SA4. Update the scoring and priority list in real time based on load changes or battery cluster status.

10. A control method based on the system according to any one of claims 8 to 9, characterized in that: The following steps are involved: SB1. Real-time monitoring of the current power level of each battery cluster through the power acquisition module; SB2. Upload the collected signal to the energy storage energy management system; SB3. Determine the battery cluster that should be switched on and off based on the set circulating current suppression scheduling strategy; SB4 controls the integrated multi-channel switching device to switch to the target battery cluster and disconnects the currently working battery cluster; SB5. Repeat the above steps to achieve dynamic switching control.

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