Buried direct current networking energy storage system control method and electronic equipment

Abstract

The invention provides a control method of a buried direct-current networking energy storage system and electronic equipment, and relates to the technical field of energy storage, and the method comprises the steps: connecting a BMS module, and obtaining the SOC and temperature parameters of an energy storage battery of a direct-current network; a BMS module and a DC-DC converter are integrated, battery state analysis of the direct current network is carried out according to the SOC and temperature parameters of the energy storage battery of the direct current network, and state distribution data of the direct current network are obtained; and analyzing a direct current conversion strategy according to the state distribution data of the direct current network, and transmitting the direct current conversion strategy to a DC-DC converter for direct current conversion control. The technical problems that a traditional energy storage system usually adopts a separated energy management module, and a DC-DC converter and a battery management system are mutually independent, so that the accuracy and response speed of battery energy scheduling are insufficient, and efficient energy scheduling support cannot be provided in a safety guarantee and defense system of a large-scale power grid are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and particularly to a control method and an electronic device for an underground DC networking energy storage system. Background Art

[0002] At present, most traditional energy storage systems adopt a ground-mounted installation method, but there are many defects, especially in aspects such as large-scale power grid security guarantee, intelligent dispatching system, and stability of power supply. The specific problems include: traditional energy storage systems have a large footprint, affecting the space utilization of cities and industrial areas, and it is difficult to meet the high-efficiency demand for space in smart grids and distributed energy; existing thermal management methods, such as air cooling or liquid cooling plate heat dissipation, have obvious deficiencies in meeting the requirements of high-power density batteries, and it is difficult to effectively support the security guarantee and defense system of large-scale power grids, resulting in possible overheating problems in the system, thereby affecting the stability of power supply; traditional communication wiring methods such as CAN, optical fiber, or wireless communication are prone to signal attenuation in complex environments, with high costs and system maintenance difficulties, which is contrary to the requirements of the intelligent dispatching system for efficient and stable communication; existing energy storage systems usually adopt a separate energy management module, and the DC-DC converter and the battery management system are independent of each other, resulting in insufficient accuracy and response speed of battery energy scheduling, and unable to provide efficient energy scheduling support in the security guarantee and defense system of large-scale power grids.

[0003] Therefore, there is an urgent need for an integrated underground DC energy storage system to meet the requirements of smart grids and distributed energy for efficient, stable, and safe power supply by improving space utilization, optimizing thermal management, improving communication schemes, and integrating energy management modules, and further enhancing the dispatching flexibility, reliability of the power system, and the ability to cope with complex environments, ensuring the safe and efficient operation of large-scale power grids. Summary of the Invention

[0004] The present application provides a control method and an electronic device for an underground DC networking energy storage system, aiming to solve the technical problem that traditional energy storage systems usually adopt a separate energy management module, and the DC-DC converter and the battery management system are independent of each other, resulting in insufficient accuracy and response speed of battery energy scheduling, and unable to provide efficient energy scheduling support in the security guarantee and defense system of large-scale power grids.

[0005] In the first aspect disclosed in the present application, a control method for an underground DC networked energy storage system is provided. The method includes: connecting a BMS module to obtain the SOC and temperature parameters of the energy storage battery in the DC network; integrating the BMS module and the DC-DC converter, and analyzing the battery state of the DC network according to the SOC and temperature parameters of the energy storage battery in the DC network to obtain the state distribution data of the DC network; based on the heat dissipation constraint conditions of the underground cabin, analyzing the DC conversion strategy according to the state distribution data of the DC network, and transmitting the DC conversion strategy to the DC-DC converter for DC conversion control.

[0006] In the second aspect disclosed in the present application, an electronic device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the control method for the underground DC networked energy storage system in the first aspect.

[0007] One or more technical solutions provided in the present application have at least the following beneficial effects:

[0008] By integrating the BMS (Battery Management System) and the DC-DC converter, not only can the parameters such as the SOC (State of Charge) and temperature of the battery be monitored in real time, but also the charge and discharge strategies can be precisely controlled, optimizing the charge and discharge process of the battery, avoiding overcharging or over-discharging, and extending the service life of the battery. This deep integration reduces the separation problem of the energy management module, improves the energy scheduling efficiency of the system. Moreover, this deep integration reduces the complexity of the energy management module, enhances the energy scheduling efficiency of the system, and ensures the safety guarantee and defense system of the large-scale power grid; through the battery parameters obtained by the BMS module, including SOC and temperature, accurate battery state analysis can be carried out, and the working mode of the battery pack can be determined according to the state distribution. This control method can optimize the management of each single cell or module of the battery pack with different states to ensure the balanced operation of the entire battery pack; using power line carrier communication technology for data transmission reduces the complexity and cost of traditional communication wiring. Through this communication method, the energy storage system can achieve remote monitoring and management, enhancing the reliability and flexibility of the system and improving the intelligent scheduling ability of power supply; through the design of underground installation, the space utilization rate can be significantly improved, reducing the occupation of ground space. The underground design not only enables the system to better adapt to environmental conditions but also reduces the impact of the external environment on the system, further enhancing the safety and stability of power supply and ensuring the efficient operation of the smart grid.

[0009] The above description is only an overview of the technical solutions of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present application more obvious and understandable, the specific embodiments of the present application are given below. Description of the Drawings

[0010] Figure 1 It is a schematic flow chart of the control method for the buried DC networked energy storage system provided by the embodiment of the present application.

[0011] Figure 2 It is a schematic flow chart of obtaining the buried distribution structure in the control method for the buried DC networked energy storage system provided by the embodiment of the present application.

[0012] Figure 3 It is a schematic structural diagram of an exemplary electronic device provided by the embodiment of the present application.

[0013] Description of the reference numerals: bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 305. Detailed Embodiments

[0014] By providing a control method and an electronic device for a buried DC networked energy storage system, the embodiment of the present application solves the technical problem that traditional energy storage systems usually adopt separate energy management modules, and the DC-DC converter and the battery management system are independent of each other, resulting in insufficient accuracy and response speed of battery energy scheduling and being unable to provide efficient energy scheduling support in the security guarantee and defense system of large-scale power grids.

[0015] After introducing the basic principle of the present application, various non-limiting embodiments of the present application will be specifically introduced below in conjunction with the drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0016] Embodiment 1, as Figure 1 shown, the embodiment of the present application provides a control method for a buried DC networked energy storage system, and the method includes:

[0017] Connect the BMS module to obtain the SOC and temperature parameters of the energy storage battery in the DC network.

[0018] Connect the BMS (Battery Management System) module. The BMS module is a component used to monitor, protect, and manage the battery pack. In this step, the energy storage battery SOC (State of Charge of the battery) and temperature parameters of the energy storage battery pack are obtained by connecting the BMS module. Among them, the SOC reflects the current battery power, which is equivalent to the percentage of the battery charging capacity; the operating temperature of the battery is a key factor affecting battery performance, life, and safety. The temperature of the battery is monitored in real time to ensure that the battery operates within a safe temperature range. The BMS module is connected to each battery pack through sensors and communication lines. It calculates the SOC by detecting information such as the voltage, current, and temperature of the battery in real time, and monitors the temperature distribution of the battery. The SOC and temperature data of each unit of the battery pack can be centrally collected by the BMS and transmitted to the control system.

[0019] Integrate the BMS module with the DC-DC converter, and analyze the battery state of the DC power network according to the SOC and temperature parameters of the energy storage battery of the DC power network to obtain the state distribution data of the DC power network.

[0020] The BMS module is integrated with the DC-DC converter (DC-DC converter). The task of the DC-DC converter is to regulate the voltage and current of the battery to achieve the required energy output. The BMS module and the DC-DC converter cooperate closely through data transmission and signal transfer to ensure that the charging and discharging process of the battery is effectively controlled and optimized.

[0021] Based on the SOC data of the battery pack, the remaining power of each battery cell can be understood, which is used to manage the charging and discharging process of the battery, helping to judge which battery cells need to be charged and which need to be discharged; temperature has a great impact on battery performance and safety. By monitoring the temperature data, it can be analyzed whether the battery is within the optimal operating temperature range. If the temperature of some batteries is too high or too low, additional measures need to be taken, such as starting the cooling system or stopping the charging and discharging. According to the obtained SOC and temperature data, the overall state of the battery pack is analyzed, including the charging state, temperature distribution of each battery cell, and whether there are abnormal states, such as overcharging, over-discharging, and overheating of the temperature. Through data analysis methods, such as clustering analysis and state estimation, the working state of each battery cell is classified, and based on this, the state distribution data of the battery pack is generated. This state distribution data is the basis for the decision-making of the battery management system and helps to formulate subsequent battery scheduling and control strategies.

[0022] Based on the heat dissipation constraint conditions of the buried cabin, analyze the DC power conversion strategy according to the state distribution data of the DC power network, and transmit the DC power conversion strategy to the DC-DC converter for DC power conversion control.

[0023] In a buried environment, the heat dissipation conditions are restricted. Especially in underground spaces, the heat dissipation efficiency may be affected by factors such as the thermal conductivity, humidity, and air fluidity of the ground soil. For example, the thermal conductivity of the soil determines whether heat can be effectively conducted from the battery pack to the underground space, affecting the overall heat dissipation effect. Therefore, the heat dissipation constraint conditions of the buried cabin actually reflect the feasibility and effect of battery heat dissipation in a specific environment, including how heat is conducted from the battery pack to the soil or air, and the efficiency of this process. On this basis, by optimizing the heat dissipation path and strategy, the safe operation of the battery in the buried environment can be ensured. For example, if the battery pack is in a high-temperature state and the thermal conductivity of the ground soil is low, then additional heat dissipation measures need to be taken, such as increasing the heat dissipation area or using a coolant, etc.

[0024] After analyzing the heat dissipation constraint conditions, analyze the DC conversion strategy based on the state distribution data of the DC network. Specifically, according to the SOC distribution and temperature distribution of the battery, prioritize which battery units need to be charged and which battery units need to be discharged. Through a differential strategy, avoid the situation of overcharging or over-discharging of the battery; based on the SOC and temperature data, configure the charging and discharging priorities for each battery unit. Some units in the battery pack may need to temporarily stop charging or discharging, or adjust the charging and discharging rate due to too high or too low temperature; based on the strategy analysis of the SOC and temperature states, implement a battery protection mechanism. For example, if the temperature of some batteries is too high, the charging process of this battery will be suspended, and the cooling system will be enabled.

[0025] Transmit the analyzed DC conversion strategy to the DC-DC converter. Specifically, according to the analyzed DC conversion strategy, calculate the conversion operations that the DC-DC converter needs to perform, including the conversion voltage value, power distribution, discharge current, etc. Transmit these control signals to the DC-DC converter through a communication interface, such as power line carrier communication, CAN bus, etc. The DC-DC converter adjusts the input and output current and voltage values according to the received control signals in order to control the battery charging and discharging according to the optimized strategy.

[0026] After receiving the control signal, the DC-DC converter works according to the set conversion parameters. For example, if it is required to reduce the discharge rate of the battery, the DC-DC converter will reduce the output current; if charging is required, it will adjust the current and voltage to adapt to the charging requirements of the battery. Further, while performing the control task, the DC-DC converter will real-time feedback the current, voltage values and status information to the BMS module. The BMS module will further optimize the strategy according to the feedback data and adjust the control parameters during the battery charging and discharging process to ensure the battery operates in a safe and healthy state.

[0027] Furthermore, integrating the BMS module with the DC-DC converter includes:

[0028] Based on power line carrier communication technology, the control instructions are propagated through the power line network, and the BMS module and the DC-DC converter are integrally connected through the power line network for control instruction transmission.

[0029] Power line carrier (PLC) communication technology is a technology for transmitting communication signals through power lines (i.e., power grids). It superimposes control data or information onto the alternating current signal of the power line using high-frequency electrical signals for data transmission. The basic working principle of power line carrier communication technology includes high-frequency carrier signal injection, signal demodulation, and two-way communication. This technology uses the existing power lines as the communication medium, avoiding the wiring complexity of traditional communication networks and having the advantages of low cost and easy installation.

[0030] At both ends of the BMS module and the DC-DC converter, power line carrier communication modules are respectively installed. These modules are responsible for transmitting control signals through the power line network. Each module has signal modulation and demodulation functions, converting the control instructions from digital signals into carrier signals and transmitting them through the power line. Using the existing power lines as the communication channel without the need to lay additional communication cables, the BMS module and the DC-DC converter are integrated into the power line network through power line carrier communication technology to form a closed-loop control system.

[0031] The BMS module generates control instructions according to the state of the battery pack. These instructions usually include specific requirements for charging and discharging operations, such as charging current and voltage settings, discharge current and voltage limits, etc. These instructions are optimized according to the current state of the battery and safety requirements. The control instructions are converted into high-frequency carrier signals through the power line carrier communication module and transmitted through the power line network. The carrier signal can pass through the existing power lines and be transmitted to the DC-DC converter end. The DC-DC converter end receives the carrier signal through the power line carrier communication module and demodulates the original control instructions. These control instructions are then parsed by the DC-DC converter and drive the converter to adjust the voltage and current. The use of power line carrier communication technology not only simplifies the wiring and reduces the cost, but also enables efficient two-way communication based on the existing power lines.

[0032] Furthermore, as Figure 2 shown, obtaining the SOC and temperature parameters of the energy storage battery for DC networking previously included:

[0033] Conduct environmental parameter detection on the underground installation environment to obtain underground environmental characteristics, including temperature and humidity; analyze the installation space constraints and heat dissipation-space influence relationship of the immersion cooling system; optimize the underground cabin structure installation strategy based on the parameter characteristics, installation space constraints, and heat dissipation-space influence relationship of the underground DC networking to maximize the underground space utilization rate and space temperature stability, and obtain the underground distribution structure.

[0034] Conduct comprehensive environmental parameter testing on the installation environment of the underground DC network energy storage system to ensure that the system can operate safely and stably under appropriate environmental conditions. These environmental parameters include key factors such as temperature and humidity. Specifically, use temperature and humidity sensors to monitor the temperature and humidity in the underground environment in real time. The sensors can sense the temperature and humidity in the air, record the monitored temperature and humidity data, and generate underground environmental characteristics. If necessary, soil temperature sensors, humidity sensors, etc. can also be used to monitor the temperature and humidity of the soil, especially in a deeply buried environment, where changes in soil temperature and humidity directly affect the operation of the system.

[0035] The immersion cooling system is a heat dissipation method that immerses the battery in insulating coolant. The coolant directly contacts the battery and takes away the heat from the battery during the charging and discharging process, effectively preventing the battery from overheating. This system can improve the heat dissipation efficiency and help maintain a stable battery temperature.

[0036] Analyze the installation space constraints. The underground installation environment usually has space limitations. Therefore, the design of the cooling system must fully consider the space utilization efficiency. The layout of the cooling system needs to be determined according to the arrangement of the battery pack and the spatial characteristics of the underground cabin. In order to ensure the effectiveness of the cooling system, the coolant needs to cover each battery cell to avoid local overheating.

[0037] Analyzing the relationship between heat dissipation and space influence, the heat dissipation effect is closely related to factors such as the installation density of the battery pack, the design of the coolant flow channel, and the temperature and humidity of the underground environment. If the temperature of the underground environment is high, it may be necessary to increase the flow rate of the coolant or increase the heat exchange area of the coolant to improve the heat dissipation efficiency. Moreover, in a limited space, the battery density and the layout of the cooling system must be balanced to avoid insufficient cooling due to insufficient space. For example, the laying of cooling pipes and the flow channels of the coolant need to be precisely planned to ensure that the temperature of each battery cell can be maintained within an appropriate range.

[0038] Analyze the parameter characteristics of the underground DC network, including but not limited to the type, capacity, energy demand of the battery pack, charge and discharge characteristics of the battery, etc. Based on the parameter characteristics of the underground DC network, installation space constraint conditions, and heat dissipation-space influence relationship, with the goal of maximizing the utilization rate of the underground space and the stability of the space temperature, optimize the installation strategy of the cabin structure. Specifically, by reasonably planning the layout of components such as the battery pack, DC-DC converter, and cooling system, maximize the utilization rate of the underground space. For example, by optimizing the arrangement of the battery pack, such as matrix type, honeycomb type, etc., minimize the voids as much as possible. Considering the impact of temperature on the battery performance and life, the emergence of heat concentration areas should be avoided during design. Therefore, the battery pack should be reasonably arranged according to the requirements of thermal management to ensure good heat convection and heat exchange. At the same time, the layout of the cooling system should cover each battery unit to ensure uniform temperature distribution.

[0039] Through the above optimization process, the underground distribution structure is finally obtained, ensuring that all equipment and components, such as batteries, DC-DC converters, control systems, cooling systems, etc., can be reasonably distributed and meet the safety distance requirements between equipment to avoid problems such as overheating and equipment interference.

[0040] Furthermore, based on the parameter characteristics of the underground DC network, installation space constraint conditions, and heat dissipation-space influence relationship, optimize the installation strategy of the underground cabin structure with the goal of maximizing the utilization rate of the underground space and the stability of the space temperature. The steps include:

[0041] Analyze the control relationship of the battery pack in the underground DC network, construct the topological node relationship based on the battery pack control relationship, and configure the node switch matrix, which is used to control the energy routing switch of the battery pack in the topological node; according to the control relationship of the node switch matrix, conduct a matching analysis of the integrated connection relationship between the DC-DC converter and the BMS module, and connect the matching integrated connection relationship of the DC-DC converter and the BMS module according to the signal transmission characteristics of the power line network to obtain the topological structure of the underground DC network; based on the topological structure of the underground DC network, decompose the topological structure control requirement characteristics according to the node switch matrix, the integrated connection relationship between the DC-DC converter and the BMS module, and the signal transmission characteristics of the power line network to obtain the parameter characteristics of the underground DC network.

[0042] The battery pack control relationship refers to how battery packs are managed and scheduled through a control system in an underground DC networked energy storage system to achieve reasonable energy distribution and control. Specifically, the control relationships of battery packs include: SOC management. The SOC values of different battery packs determine whether they are in a charging or discharging state. By analyzing the SOC of each battery pack, it is possible to determine which batteries need to be charged and which can be discharged; battery health management. The health state of the battery, such as temperature, internal resistance, etc., has a direct impact on its charging and discharging behavior. Through the analysis of the control relationship, the operating state of the battery can be monitored and optimized in real time to avoid damage and overheating; charge and discharge strategies. The charging and discharging strategies of each battery pack need to be dynamically adjusted according to its own state. For example, battery packs in good health state are given priority to discharge, while those in poor health state may be isolated or have restricted charge and discharge. By analyzing these battery pack control relationships, it is possible to construct the energy transfer and control strategies among various battery packs.

[0043] Topological nodes refer to different constituent units of battery packs in the system. The connections between nodes determine how energy is exchanged among battery packs. Among them, each battery pack can be regarded as a node, and these nodes are interconnected through a power network. The topological structure shows the energy transfer path among battery packs through the interconnections of nodes.

[0044] The node switch matrix is the core tool for controlling the energy routing among topological nodes. It controls the electrical energy transmission path between nodes through switches to ensure that the energy flow of each node conforms to the control strategy of the battery pack and the system requirements. The switch matrix realizes the connection or disconnection between nodes through electronic switches such as relays and solid-state switches, thereby controlling the flow direction of the battery pack energy. The node switch matrix is usually a multi-dimensional matrix, where each unit represents a switch connecting different nodes in the system. According to the topological relationship, the switches in the matrix will perform on / off operations according to control signals to achieve the routing control of the battery pack energy.

[0045] Each battery pack is connected to other nodes through a control switch in the system. When a certain battery pack needs to discharge, the node switch matrix determines whether this battery pack is connected to the load or other battery packs. Through the node switch matrix, it is possible to determine the connection method between the DC-DC converter and the BMS module. Specifically, when the DC-DC converter needs to adjust the charge and discharge strategy, the BMS module will send a control signal; while when the BMS module needs to obtain the real-time state information of the battery, the DC-DC converter will feedback the corresponding data to the BMS module. In order to ensure the efficient transmission of this information and control instructions, it is necessary to optimize the connection relationship according to the characteristics of the power line network.

[0046] Power line carrier communication technology modulates signals onto power lines for transmission. Therefore, when configuring the connection between the DC-DC converter and the BMS module, the signal transmission characteristics of the power line network, such as signal frequency, transmission stability, anti-interference ability, etc., need to match the control signal formats of the DC-DC converter and the BMS module. Through power line carrier technology, the BMS module and the DC-DC converter establish a stable communication channel through the power line network. The BMS module sends control instructions through the power line network, and the DC-DC converter adjusts the charge and discharge status of the battery pack according to these instructions, establishing an integrated connection relationship.

[0047] Through the control relationship of the node switch matrix, after the integrated connection relationship between the DC-DC converter and the BMS module is matched, the topology of the entire system is determined, including the connection between the battery pack and other system components, and the integration of the DC-DC converter and the BMS module. This topology can ensure the efficient operation and reliability of the battery pack, avoid energy waste and overload problems, and maintain the stability and security of the system.

[0048] According to the node switch matrix, the integrated connection relationship between the DC-DC converter and the BMS module, and the signal transmission characteristics of the power line network, perform the decomposition of the control requirement characteristics of the topology. Specifically, by analyzing the SOC of the battery pack, load demand, and charge and discharge strategies, decompose the load distribution requirements of the battery pack under different working states, that is, in specific situations, which battery packs should be preferentially scheduled, and which battery packs need to be charged or discharged; based on information such as the health status, temperature, and SOC of the battery pack, decompose the charge and discharge strategy characteristics of different battery packs. For example, healthy batteries are preferentially discharged, and battery packs with higher temperatures may be temporarily isolated or have their charge and discharge rates restricted; through the control relationship of the node switch matrix, decompose the path characteristics of energy flow, which can switch the path through the switch matrix under different demands to optimize the energy transmission efficiency of the battery pack; analyze the control signal transmission characteristics between the DC-DC converter and the BMS module, determine the response speed, stability, and accuracy of the system to input signals, and by optimizing the integrated connection relationship, the delay can be reduced and the response ability of the system can be improved.

[0049] Through the above decomposition, the parameter characteristics of the buried DC networking are obtained, including the charge and discharge capabilities of the battery pack, the flexibility of the topology, the stability of signal transmission, and control optimization characteristics. These characteristics help to deeply understand the battery pack management, energy distribution, signal transmission, and control strategies of the system, thus providing an important basis for the optimal design, control strategy formulation, and performance evaluation of the system.

[0050] Furthermore, analyze the installation space constraint conditions and heat dissipation-space influence relationship of the immersion cooling system, including:

[0051] Obtain the heat dissipation test data of the insulating coolant; according to the heat dissipation test data, perform fitting analysis on the space installation parameters, heat dissipation effect, and persistence in the test data respectively with the goal of heat dissipation stability, and obtain the heat dissipation-space influence relationship; according to the heat dissipation-space influence relationship, screen the space parameters with the minimum threshold of the heat dissipation effect to obtain the installation space constraint conditions.

[0052] In the buried DC grid-connected energy storage system, the insulating coolant is used in the immersion cooling system to keep the working temperature of the battery pack within a safe range. Common insulating coolants include mineral oil, synthetic oil, etc. They can effectively dissipate heat and prevent short circuits or electrical failures in the battery pack.

[0053] Design a set of test conditions including different coolant temperatures, flow rates, pressures, etc. Usually, the tests will be carried out at different ambient temperatures and coolant flow rates to simulate the heat dissipation effect in actual use. Through devices such as temperature sensors and flow meters, monitor the temperature change, thermal conductivity, flow rate and other parameters of the coolant in real time, and record the coolant heat dissipation data under each condition. For example, the initial temperature, final temperature, flow rate, cooling effect, etc. of the coolant. Through these data, the heat dissipation performance of the coolant can be comprehensively understood.

[0054] Heat dissipation stability refers to the temperature retention ability of the coolant during long-term use, avoiding the negative impact of temperature fluctuations on the battery pack and the cooling system. The better the heat dissipation stability, the more reliable the cooling effect. Perform fitting analysis on the space installation parameters, heat dissipation effect, and persistence in the test data respectively with the goal of heat dissipation stability.

[0055] Specifically, the fitting of space installation parameters includes parameters such as the flow path of the coolant, space layout, pipe bend degree, coolant volume, etc. Through experimental data, evaluate how these installation parameters affect the fluidity and heat dissipation effect of the coolant. Exemplarily, for the flow path of the coolant, set different flow paths and measure the flow rate, heat conduction efficiency, and temperature change of the coolant on each path; for the space layout, under different space layouts, experiment on the influence of each layout on the coolant flow. For example, whether there are dead corners, whether the space is large enough to ensure unrestricted flow, or whether the pipe bend degree will increase the flow resistance; for the pipe bend degree and coolant volume, use pipes with different bend degrees and different volumes to test their influence on the cooling effect.

[0056] The fitting of the relationship between heat dissipation effect and space includes identifying which space parameters have the greatest impact on the heat dissipation effect, such as space height, width, depth, coolant flow rate, path length, etc. These relationships help to understand how the coolant effectively dissipates heat under different space layouts. Exemplarily, for space height, width, and depth, measure the heat dissipation effect under different space dimensions, record the temperature change of the coolant during the flow process, and the size of the heat exchange area; for the coolant flow rate, experiment on the change of the heat exchange efficiency of the coolant at different flow rates; for the path length, record the impact of different path lengths on the heat conduction effect of the coolant.

[0057] Continuous fitting includes evaluating the stability of the cooling system during long-term operation, observing whether the cooling effect remains stable within different time periods, and how factors such as coolant flow resistance and heat capacity affect the heat dissipation effect. Exemplarily, for the long-term stability of the cooling system, conduct long-term operation tests and record whether the coolant maintains a constant temperature during the operation of several weeks or months; for flow resistance and heat capacity, measure the change of the coolant flow resistance during long-term operation, evaluate its impact on the cooling effect, and at the same time test the heat capacity of the coolant to ensure that it can maintain sufficient heat retention capacity during long-term use.

[0058] Through the above data fitting analysis, analyze the specific impact of each parameter on the heat dissipation effect and stability, and finally obtain the heat dissipation-space impact relationship, which includes the relationship between space size and heat dissipation efficiency, the relationship between pipeline design and cooling effect, etc. For example, the size (height, width, depth) of the space directly affects the length of the coolant flow path and the heat exchange surface area. The larger the space, the better the heat dissipation effect, but too long a flow path may increase the flow resistance and lead to a decrease in efficiency; the greater the pipeline bend, the greater the flow resistance, and the cooling effect will be affected. By optimizing the pipeline layout and reducing the bend, the flow efficiency and heat dissipation effect can be improved.

[0059] The minimum threshold of the heat dissipation effect is a pre-set minimum standard for the heat dissipation effect, which is a necessary condition to ensure the safe operation of the battery pack. This threshold is usually set based on factors such as the operating temperature range of the battery pack, the heat dissipation capacity of the coolant, and the influence of the external environment.

[0060] According to the heat dissipation - space influence relationship, evaluate the influence of different space parameters on the heat dissipation effect, such as space height, width, depth, coolant flow rate, etc., and screen out the space parameter configuration that meets the minimum heat dissipation effect threshold; consider the design of the coolant flow path, including flow rate, flow volume, and pipeline layout, to ensure that the coolant can fully cover the battery pack and effectively carry away heat, and screen out the best combination of space parameters according to the actual conditions to optimize the heat dissipation effect. According to the selected space parameters, clarify the installation space constraint conditions of the buried cabin structure, which are used to ensure the efficient operation of the cooling system in a limited space and avoid problems such as space waste and uneven heat dissipation.

[0061] Furthermore, the installation space constraint conditions include: the proportion of the volume of insulating coolant and the reserved pipeline width.

[0062] The installation space constraint conditions refer to the physical restrictions and design requirements for the installation space on the premise of ensuring the normal operation and maintenance of the system, mainly including the proportion of the volume of insulating coolant and the reserved pipeline width. Among them, the proportion of the volume of insulating coolant refers to the volume ratio of the coolant in the entire battery pack or battery system. A reasonable proportion of the coolant volume is the key to ensuring effective heat dissipation of the battery pack during operation. When designing, it is necessary to consider the ratio of the coolant volume to the battery pack volume to ensure their matching. Excessive coolant may lead to space waste, while too little coolant may not be able to dissipate heat sufficiently, affecting the performance and lifespan of the battery. It is necessary to reasonably plan the proportion of the coolant volume according to the power demand of the battery pack, heat dissipation requirements, and the flow characteristics of the coolant; the reserved pipeline width refers to the minimum width reserved for the coolant pipelines in the installation space. These pipelines are used to transport the coolant to ensure that the coolant can effectively flow to all parts of the battery pack for heat dissipation. Too small a pipeline width will increase the flow resistance of the coolant, thus affecting the heat dissipation effect and may even lead to problems such as unstable flow rate or pipeline blockage. Reserving too large a pipeline width will occupy too much space and affect the compactness of the overall layout. It is necessary to accurately calculate the required pipeline width according to the design requirements of the cooling system, the coolant flow rate, and the heat dissipation efficiency target of the system to ensure smooth fluid flow and effective use of the installation space.

[0063] Furthermore, based on the heat dissipation constraint conditions of the buried cabin, analyze the DC conversion strategy according to the state distribution data of the DC networking, including:

[0064] Obtain the SOC difference gradient distribution and temperature distribution of the battery pack; configure the charge and discharge priorities according to the SOC difference gradient distribution and temperature distribution; analyze the heat dissipation conditions of the battery packs in the buried cabin according to the buried distribution structure to obtain the heat dissipation constraint conditions of the battery distribution, and analyze the control conversion strategy according to the charge and discharge priorities and the heat dissipation constraint conditions of the corresponding batteries to obtain the conversion control path and conversion parameters; decompose the response of the conversion control path and conversion parameters according to the topology of the buried DC network to obtain the control parameters of the node switch matrix and the mapping relationship with the DC conversion parameters, and obtain the DC conversion strategy.

[0065] The SOC difference is the difference in the state of charge between different battery cells within a battery pack. If the SOC of some batteries is low while that of others is high, it may lead to a reduction in the charge and discharge efficiency of the battery pack, uneven performance, and even a shortened battery life. By installing SOC monitoring devices on each battery cell of the battery pack, the SOC values of each individual battery are monitored in real time. By analyzing the differences in these SOC values, the gradient of the SOC difference is calculated. Common difference calculation methods can be the difference in SOC between adjacent cells, or the difference between the maximum and minimum SOC in the entire battery pack.

[0066] The temperature difference of the battery pack also has a significant impact on the working performance of the battery. Too high or too low temperature of the battery will affect its charge and discharge efficiency, and may even cause battery failure in severe cases. By installing temperature sensors at multiple positions in the battery pack, the temperature of each individual battery cell and the overall battery pack is monitored to obtain the temperature distribution within the battery pack.

[0067] According to the obtained SOC difference gradient distribution and temperature distribution, configure the charge and discharge priorities of the batteries to optimize the usage efficiency of the battery pack and extend its life. Specifically, when the SOC of some cells in the battery pack is high, these battery cells can be preferentially used as power sources for discharging to prevent overcharging; when the SOC of some cells in the battery pack is low, charge these battery cells preferentially to ensure that all battery cells maintain a balanced SOC level; when the temperature of some battery cells is too high, reduce the charging or discharging rate to preferentially reduce the load of these battery cells; when the temperature of some cells in the battery pack is low, the low-temperature environment may lead to a reduction in the charge and discharge efficiency of the battery. In this case, preferentially charge these low-temperature battery cells.

[0068] The heat dissipation conditions in the buried environment are affected by various factors, such as the thermal conductivity of the soil, humidity, underground air circulation, etc. In this environment, the heat dissipation efficiency of the battery may be greatly reduced. Therefore, it is necessary to analyze the heat dissipation conditions of the battery pack. The analysis process needs to evaluate the heat conduction performance, heat dissipation path, and heat dissipation effect of each battery cell in a specific buried environment, which involves considering factors such as the thermal conductivity of the battery housing material, temperature changes in the soil, and humidity of the surrounding environment. By analyzing the matching between the heat dissipation requirements of the battery pack and the heat dissipation conditions in the buried environment, the heat dissipation constraint conditions of each battery cell are obtained. These constraint conditions reflect which battery cells have difficulty dissipating heat in a specific environment and which battery cells have better heat dissipation performance.

[0069] After obtaining information such as the SOC difference gradient, temperature distribution, and heat dissipation constraint conditions, based on these data, the control conversion strategy is analyzed. This analysis process involves comprehensive consideration of the charge and discharge priorities and the heat dissipation constraint conditions of the battery. Specifically, it is calculated how to arrange the charging and discharging processes of the battery under different heat dissipation constraint conditions to ensure that the battery pack can achieve energy balance and keep the temperature within a safe range. The control conversion strategy refers to adjusting the charge and discharge processes through a suitable control mechanism according to factors such as the SOC, temperature, and heat dissipation constraint conditions of the battery pack to ensure that each battery cell in the battery pack can work under the best conditions, including controlling parameters such as the charging rate, discharging rate, and charging voltage of the battery.

[0070] Exemplarily, according to the SOC difference gradient, different charge and discharge priorities are set, that is, the battery with a lower SOC is charged first. Specifically, the distribution of the charging current can be carried out according to the difference between the battery SOC and the target SOC. For example, for multiple battery cells, the charging current can be distributed according to the following formula:

[0071]

[0072] where I charge，i is the charging current of the current battery cell i, SOC i is the SOC of the current battery cell i, SOC j is the SOC of any other battery cell j except the current battery cell i among all battery cells, SOC target is the target SOC, and I charge，total is the total charging current.

[0073] According to the temperature distribution, different charge and discharge priorities are set, that is, the battery with a higher temperature is discharged first to help it cool down. Assuming that some batteries in the battery pack have a higher temperature and the discharging ability of the battery is closely related to its temperature, the distribution formula of the discharging current is the same as above. For the sake of brevity of the specification, it will not be elaborated here.

[0074] In a buried environment, the heat dissipation capacity of the battery may be poor, especially when the heat dissipation path is long, the soil temperature is high, or the humidity is high. Therefore, it is necessary to consider the heat dissipation constraint conditions of each battery, that is, when the battery temperature is high and the heat dissipation is limited, the discharge current is restricted to avoid the increase of the battery temperature. At this time, the calculation of the discharge current can incorporate temperature and heat dissipation constraint factors to ensure that the discharge process does not cause the battery to overheat. For example, the charging current can be allocated according to the following formula:

[0075]

[0076] where β is the heat dissipation coefficient, which depends on the environmental heat dissipation capacity, T battery，i is the current temperature of the current battery cell i, and T max is the maximum safe temperature of the battery.

[0077] According to the aforementioned charge-discharge priorities and the heat dissipation constraint conditions of the corresponding batteries, design a conversion path to enable the charge-discharge process between battery monomers to be dynamically adjusted. Specifically, under the heat dissipation constraint conditions, starting from the control priority, analyze the states of each battery monomer step by step and formulate the optimal control path. First, discharge the battery with a high SOC, and then charge the battery with a low SOC. At the same time, consider that the battery with a higher or lower temperature needs to adjust the load or charge preferentially. The core task of the conversion control path is to adjust the energy flow path between the batteries to avoid over-discharge or over-charge of some battery monomers and avoid excessive high or low temperatures. The path design includes how to adjust the current, voltage, and power of each battery monomer to ensure the balance of the working state of the battery pack.

[0078] The conversion parameters refer to the specific parameters required during the conversion process of the control path, including the charging current, discharge current, battery voltage, conversion ratio of the converter, etc. These parameters need to be dynamically adjusted according to the changes in the SOC, temperature, and working environment of the battery. During the control process, the adjustment of the conversion parameters needs to ensure that each monomer of the battery pack maintains a stable temperature and voltage during the charge-discharge process and avoid extreme situations.

[0079] By combining the changes in the conversion control path with the node responses of the topology structure, it is possible to determine how to adjust the energy flow path by changing the node switch states under different working conditions, including how the battery pack is interconnected during the charging and discharging processes and how the DC-DC converter interacts with different battery monomers. The purpose of the response decomposition is to clarify the performance of different nodes under different operating conditions and provide a basis for subsequent control strategies.

[0080] According to the analysis of the topological structure, the control parameters of the node switch matrix are obtained, including the switching frequency of the switch, the control mode, the selection rule of the energy transfer path, etc. By adjusting these control parameters, the energy flow between battery cells can be precisely controlled. The control parameters of the node switch matrix need to be mapped with the DC conversion parameters to ensure the optimal energy transfer between the battery pack and the DC-DC converter under different working modes. DC conversion parameters, such as the conversion ratio, output voltage, etc., will affect the voltage and current distribution between nodes, and the mapping relationship ensures that these parameters can work together under different operating conditions.

[0081] The DC conversion strategy is a complete set of charge and discharge control strategies formed based on the mapping relationship between the node switch matrix and the DC converter. It determines how to adjust the connection mode between each node in the battery pack and how to optimize the DC conversion process to maximize the energy efficiency and lifespan of the battery pack.

[0082] Furthermore, it also includes:

[0083] Obtain the historical monitoring data of each battery pack, analyze according to the charge and discharge parameter curves of the historical monitoring data to obtain the charge and discharge abnormal thresholds and habitual state parameters of each battery pack; according to the charge and discharge abnormal thresholds and habitual state parameters of each battery pack, set the SOC and temperature parameter thresholds of each battery pack; when the SOC and temperature parameter thresholds of the battery pack are triggered, configure the incremental priority and perform priority charge and discharge control adjustment. When the charge and discharge control parameters are not met, generate a warning isolation signal and perform isolation control through the node switch matrix.

[0084] Obtain the historical monitoring data of each battery pack from the battery management system. The historical monitoring data contains information such as the voltage, current, temperature, SOC value, etc. of the battery pack at different time periods. The data can be arranged in a time series and record the charge and discharge status of the battery in each cycle. The charge and discharge curve is a graph showing the changes of parameters such as voltage, SOC, current, etc. over time during the actual charge and discharge process of the battery pack. By analyzing these curves, the normal charge and discharge characteristics and potential abnormal situations of the battery pack can be identified.

[0085] Obtain the charge and discharge abnormal thresholds of each battery pack, including abnormal voltage threshold, abnormal current threshold, abnormal SOC fluctuation, too high or too low temperature. For example, when the voltage of the battery pack exceeds or is lower than a certain critical value, it indicates that the battery pack is overcharged or overdischarged, and this requires adjustment or protective measures.

[0086] During the long-term use of each battery pack, there are some typical charge and discharge characteristics. For example, some batteries may habitually operate at a specific charging rate, while others perform best within certain temperature ranges. By analyzing historical monitoring data, these habitual state parameters can be identified and used as a basis for subsequent battery health management.

[0087] Based on the charge and discharge anomaly thresholds and habitual state parameters of each battery pack, set the SOC threshold and temperature parameter threshold for each battery pack. These thresholds are used in the battery management system as the monitoring and protection standards for the battery pack. Among them, the SOC threshold refers to the safe range that the charge state of the battery pack should maintain during the charging and discharging processes. For example, when the SOC is lower than a certain value, such as 20%, the battery pack should start charging; when the SOC is higher than a certain value, such as 80%, the battery pack should stop charging or switch to the discharge mode. By setting a reasonable SOC threshold, it is possible to prevent the battery pack from entering an unhealthy charging and discharging range and ensure the efficiency and battery life during the charging process.

[0088] The temperature parameter threshold refers to the temperature range of the battery cells and the battery pack during the charge and discharge processes. Within a certain operating temperature range, the battery can maintain an efficient working state, while exceeding this temperature range, the battery performance will decline, and even thermal runaway may occur. Based on the historical temperature data of the battery pack, analyze the temperature fluctuations of the battery under different charge and discharge states, and set a safe temperature range. Generally speaking, the working temperature of the battery should be controlled between 0°C and 45°C. Too low or too high a temperature will affect the battery performance and life.

[0089] The incremental priority refers to dynamically adjusting the charge and discharge priorities according to parameters such as the SOC and temperature of the battery pack. For example, when the SOC of a certain battery is lower than the threshold, this battery should be charged preferentially. On the contrary, batteries with a higher SOC or too high a temperature should be discharged preferentially or the charging rate should be adjusted. When the SOC or temperature of the battery pack reaches the preset threshold, the incremental priority is automatically activated, and the charge and discharge rates of the battery pack are dynamically adjusted according to the configuration of the incremental priority.

[0090] When the charge and discharge rate of the battery cannot meet the current requirements, warning isolation signals are triggered. These signals indicate that the battery pack is abnormal and may cause battery damage or system failure. For example, the SOC of the battery is too high or too low, the temperature of the battery exceeds the safe operating range, or the battery pack experiences overcharging or over-discharging. Warning signals are generated based on these conditions so that remedial measures can be taken in a timely manner. When the warning signal is triggered, the isolation control mechanism is activated to ensure that the problem battery does not continue to affect the operation of the entire battery pack. Through the warning signal, the problematic battery cell or module is immediately isolated to prevent it from affecting other batteries.

[0091] Furthermore, propagating the control instructions through the power line network includes:

[0092] Converting the DC conversion strategy into a high-frequency carrier signal; coupling the high-frequency carrier signal after data conversion to the power line and transmitting the carrier signal through the power line network; the control module uses a demodulator to obtain the signal from the power line, extract the data, obtain the DC conversion strategy, and implement DC conversion control on the DC-DC converter.

[0093] Using modulation techniques, such as frequency modulation, amplitude modulation, etc., to convert the DC conversion strategy into a high-frequency signal. Usually, the frequencies of these signals are set within the power line communication frequency band to ensure that the main operating frequencies of the power system can be avoided. The frequency of the high-frequency carrier signal needs to be selected within a frequency band that does not affect the operation of the power system, usually in the range of dozens of kHz to hundreds of kHz. After modulation, these carrier signals can carry system instructions and be transmitted through the power line.

[0094] To couple the high-frequency carrier signal to the power line, specific couplers are required. These couplers can simultaneously transmit alternating current and high-frequency carrier signals on the power line. The couplers usually include two methods: inductive coupling or capacitive coupling, which can effectively separate the high-frequency signal from the alternating current signal of the power line and transmit it through the power line. Through this coupling method, the power line can carry both alternating current and high-frequency data carrier signals at the same time. Through the power line network, the carrier signal will be transmitted from the source end to the receiving end. During the transmission process, the signal may be interfered by power line noise, so error detection and correction algorithms are needed to ensure the correct transmission of data.

[0095] The demodulator is used to obtain the transmitted high-frequency carrier signal from the power line and demodulate it into the original control data. The demodulation process includes filtering, demodulation, and data recovery. The demodulated signal contains control parameters, such as battery charging voltage, current, discharge voltage, etc. The control module obtains the DC conversion strategy by analyzing these data.

[0096] According to the data obtained from the power line, the control module sends control signals to the DC-DC converter to adjust its output voltage, current, and other parameters. Through these adjustments, the DC-DC converter can achieve operations such as charging and discharging regulation and temperature control of the battery pack, ensuring the safe and efficient operation of the battery pack.

[0097] In summary, the control method of the buried DC networking energy storage system provided by the embodiments of the present application has the following technical effects:

[0098] By integrating the BMS (Battery Management System) with the DC-DC converter, not only can parameters such as the SOC (State of Charge) and temperature of the battery be monitored in real time, but also the charging and discharging strategies can be precisely controlled, optimizing the charging and discharging process of the battery, avoiding overcharging or over-discharging, and enhancing the service life of the battery. This deep integration reduces the separation problem of the energy management module, improves the energy scheduling efficiency of the system. Moreover, this deep integration reduces the complexity of the energy management module, enhances the energy scheduling efficiency of the system, and ensures the safety guarantee and defense system of the large-scale power grid; the battery parameters obtained through the BMS module, including SOC and temperature, can be used to accurately analyze the battery state, and the working mode of the battery pack can be determined according to the state distribution. This control method can optimize the management for different states of each single cell or module of the battery pack to ensure the balanced operation of the entire battery pack; the power line carrier communication technology is adopted for data transmission, reducing the complexity and cost of traditional communication wiring. Through this communication method, the energy storage system can achieve remote monitoring and management, enhancing the reliability and flexibility of the system and improving the intelligent scheduling ability; through the design of underground installation, the space utilization rate can be significantly improved, reducing the occupation of ground space. The underground design not only enables the system to better adapt to environmental conditions but also reduces the impact of the external environment on the system, further enhancing the safety and stability of power supply and ensuring the efficient operation of the smart grid.

[0099] Embodiment 2, as Figure 3 shown, is a schematic structural diagram of an exemplary electronic device of the present application. In Figure 3 , the bus architecture is represented by bus 300. Bus 300 may include any number of interconnected buses and bridges. Bus 300 connects various circuits including one or more processors represented by processor 302 and a memory represented by memory 304 together. Bus 300 may also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus will not be further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices on the transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0100] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0101] The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. Control method of buried DC networked energy storage system, characterized in that, The method includes: Connect the BMS module to obtain the SOC and temperature parameters of the energy storage battery for DC networking. Integrate the BMS module and the DC-DC converter, and analyze the battery state of the DC networking according to the SOC and temperature parameters of the energy storage battery for the DC networking to obtain the state distribution data of the DC networking. Based on the heat dissipation constraint conditions of the buried cabin, analyze the DC power conversion strategy according to the state distribution data of the DC networking, and transmit the DC power conversion strategy to the DC-DC converter for DC power conversion control.

2. The control method of the buried DC networking energy storage system according to claim 1, characterized in that Integrating the BMS module and the DC-DC converter includes: Based on the power line carrier communication technology, propagate the control instructions through the power line network, and integrally connect the BMS module and the DC-DC converter through the power line network for control instruction transmission.

3. The control method of the buried DC networked energy storage system according to claim 1, characterized in that, Before obtaining the SOC and temperature parameters of the energy storage battery for DC networking, it includes: Detect the environmental parameters of the buried installation environment to obtain the buried environmental characteristics, including temperature and humidity. Analyze the installation space constraint conditions and heat dissipation-space influence relationship of the immersion cooling system. Based on the parameter characteristics, installation space constraint conditions, and heat dissipation-space influence relationship of the buried DC networking, optimize the installation strategy of the buried cabin structure with the maximum buried space utilization rate and space temperature stability to obtain the buried distribution structure.

4. The control method of the buried DC networked energy storage system according to claim 3, wherein Before optimizing the installation strategy of the buried cabin structure with the maximum buried space utilization rate and space temperature stability based on the parameter characteristics, installation space constraint conditions, and heat dissipation-space influence relationship of the buried DC networking, it includes: Analyze the control relationship of the battery pack of the buried DC networking, construct the topological node relationship based on the battery pack control relationship, and configure the node switch matrix, where the node switch matrix is used for the control of the battery pack energy routing switch in the topological node. According to the control relationship of the node switch matrix, perform matching analysis on the integrated connection relationship between the DC-DC converter and the BMS module, and connect the matching integrated connection relationship between the DC-DC converter and the BMS module according to the signal transmission characteristics of the power line network to obtain the topological structure of the buried DC networking. Based on the topological structure of the buried DC networking, decompose the control requirement characteristics of the topological structure according to the node switch matrix, the integrated connection relationship between the DC-DC converter and the BMS module, and the signal transmission characteristics of the power line network to obtain the parameter characteristics of the buried DC networking.

5. The control method of the buried DC networking energy storage system according to claim 3, characterized in that, Analyzing the installation space constraint conditions and heat dissipation-space influence relationship of the immersion cooling system includes: Obtain the heat dissipation test data of the insulating coolant. According to the heat dissipation test data, perform fitting analysis on the space installation parameters, heat dissipation effect, and persistence in the test data respectively with the goal of heat dissipation stability to obtain the heat dissipation-space influence relationship. According to the heat dissipation-space influence relationship, screen the space parameters with the minimum heat dissipation effect threshold to obtain the installation space constraint conditions.

6. The control method of the buried DC networking energy storage system according to claim 5, characterized in that, The installation space constraint conditions include: the volume ratio of the insulating coolant and the reserved pipeline width.

7. The control method of the buried DC networked energy storage system according to claim 4, wherein, Based on the heat dissipation constraint conditions of the buried cabin, analyzing the DC power conversion strategy according to the state distribution data of the DC networking includes: Obtain the SOC difference gradient distribution and temperature distribution of the battery pack. Configure the charge and discharge priorities according to the SOC difference gradient distribution and temperature distribution; Analyze the heat dissipation conditions of the battery packs in the buried cabin according to the buried distribution structure to obtain the heat dissipation constraint conditions of the battery distribution. Analyze the control conversion strategy according to the charge and discharge priorities and the heat dissipation constraint conditions of the corresponding batteries to obtain the conversion control path and conversion parameters; Perform response decomposition on the conversion control path and conversion parameters according to the topological structure of the buried DC network to obtain the control parameters of the node switch matrix and the mapping relationship with the DC conversion parameters, and obtain the DC conversion strategy.

8. The control method of the buried DC networked energy storage system according to claim 7, characterized in that, It further includes: Obtain the historical monitoring data of each battery pack, and analyze according to the charge and discharge parameter curves of the historical monitoring data to obtain the charge and discharge anomaly thresholds and habitual state parameters of each battery pack; Set the SOC and temperature parameter thresholds of each battery pack according to the charge and discharge anomaly thresholds and habitual state parameters of each battery pack; When the SOC and temperature parameter thresholds of the battery pack are triggered, configure the incremental priority and perform priority charge and discharge control adjustment. When the charge and discharge control parameters are not satisfied, generate an early warning isolation signal and perform isolation control through the node switch matrix.

9. The control method of the buried DC networked energy storage system according to claim 2, wherein, Propagate the control instruction through the power line network, including: Convert the DC conversion strategy into a high-frequency carrier signal; Couple the high-frequency carrier signal converted from the data to the power line, and transmit the carrier signal through the power line network; The control module uses a demodulator to obtain signals from the power line to extract data, obtain the DC conversion strategy, and implement DC conversion control on the DC-DC converter.

10. An electronic device, comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to implement the steps of the control method of the buried DC network energy storage system according to any one of claims 1 to 9.

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