High-efficiency liquid-cooled energy storage module rapid splicing control method

Abstract

This invention discloses a rapid splicing control method for high-efficiency liquid-cooled energy storage modules, relating to the field of energy storage system technology. It includes five core control steps: pre-configuration before splicing involves reading module identity and parameters via wireless communication, verifying compatibility, and generating a splicing sequence; physical splicing employs visual and mechanical collaborative positioning, dynamically adjusting to ensure precise interface alignment; the liquid-cooled circuit opens the reversing valve in a timed sequence, monitoring pressure and flow to achieve leak-free connectivity; the electrical interface uses adaptive detection to match protocols and voltage, with soft-start to avoid current surges; after splicing, a collaborative algorithm dynamically allocates power and flow, with closed-loop control ensuring stable system operation. This invention significantly improves the splicing efficiency and positioning accuracy of liquid-cooled energy storage modules, possesses fault tolerance and flexible expansion capabilities, adapts to large-scale and distributed energy storage scenarios, and meets the high-efficiency and reliable operation requirements of energy storage systems.

Description

Technical Field

[0001] This invention relates to the field of electrical energy storage system technology, and in particular to a method for rapid assembly and control of high-efficiency liquid-cooled energy storage modules. Background Technology

[0002] With the rapid development of the new energy power generation industry, energy storage systems are increasingly being used in peak shaving and valley filling, and new energy consumption. Liquid-cooled energy storage systems, with their advantages of high heat dissipation efficiency and precise temperature control, have become the mainstream choice for large-scale energy storage projects. Liquid-cooled energy storage systems are typically composed of multiple standardized energy storage modules. The rapid and precise assembly of these modules directly affects the deployment efficiency and operational stability of the energy storage system. Currently, the industry lacks a unified and efficient technical solution for the assembly control of liquid-cooled energy storage modules. Existing assembly methods largely rely on manual configuration and positioning, which is insufficient to meet the rapid deployment needs of large-scale energy storage projects.

[0003] There are several technical bottlenecks in the current process of assembling liquid-cooled energy storage modules. During the pre-configuration phase, the identity information and parameter specifications of each module are mostly entered manually or read using a single communication method, which is prone to information errors. Furthermore, there is a lack of system verification for the compatibility of the liquid cooling medium and the adaptability of interface specifications, leading to problems such as medium deterioration, pipeline blockage, or electrical incompatibility after assembly. The positioning process often relies on single mechanical guidance or visual positioning, whose accuracy is greatly affected by environmental interference. Module interface alignment deviations often exceed safe limits, requiring repeated adjustments and prolonging the assembly time. When the liquid cooling loop is connected, there is a lack of closed-loop control that prioritizes detection before liquid supply. Inappropriate opening sequence of the electromagnetic reversing valve can easily cause sudden pressure changes in the loop, increasing the risk of leakage. Electrical interface adaptation relies on manually switching communication protocols and voltage levels, a cumbersome process that can generate current surges and damage internal electrical components. In the post-assembly collaborative commissioning phase, the control center often uses a fixed power and flow distribution strategy, failing to consider the differences in real-time operating status of each module. This results in some modules overheating or experiencing uneven loads, affecting the overall stability and lifespan of the system.

[0004] Furthermore, existing technologies have significant shortcomings in dynamic capacity expansion and fault response. When adding new modules, the existing system requires prolonged downtime for adjustments, resulting in low expansion efficiency. When faults occur in the liquid-cooled circuit or electrical interfaces, the lack of rapid isolation and emergency response mechanisms can easily lead to fault propagation, affecting the power supply continuity of the entire energy storage system. These problems make existing liquid-cooled energy storage module splicing control methods unable to meet the technical requirements of modern energy storage systems in terms of deployment efficiency, operational stability, and safety, thus hindering the widespread application of liquid-cooled energy storage technology in large-scale new energy projects. Therefore, there is an urgent need for a liquid-cooled energy storage module splicing control method that balances rapid deployment, precise control, and reliable safety. Summary of the Invention

[0005] The present invention proposes a rapid assembly and control method for high-efficiency liquid-cooled energy storage modules to solve the problems mentioned in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for rapid assembly and control of high-efficiency liquid-cooled energy storage modules, comprising the following steps:

[0007] Pre-configuration control before splicing: Each liquid-cooled energy storage module has a built-in dual identification unit of RFID and QR code and a parameter storage unit. The control center reads the core parameters and health status data of the module through dual-mode wireless communication, establishes an information database with a compatibility matrix, filters and matches module groups, and generates the optimal splicing sequence command based on the installation layout and sends it to the local controller.

[0008] Physical splicing and positioning control: It adopts visual positioning and mechanical guidance coordinated control. The detection equipment is deployed on the end face of the module. After receiving the command, the local controller drives the moving mechanism. By collecting position information in real time and analyzing deviation data, the operating parameters are dynamically adjusted.

[0009] Liquid cooling circuit rapid connection control: The local controller triggers the opening of the solenoid directional valve according to the pre-configured parameters, and starts the pressure and flow sensors to collect data;

[0010] Electrical interface adaptation control: The adaptive interface detection unit is activated to identify the electrical protocol and power supply level of adjacent modules. The local controller automatically switches to the matching module, adopts a soft-start strategy to connect the power supply circuit, monitors current surges, and completes stable electrical interface adaptation.

[0011] Post-assembly collaborative debugging and control: The control center starts the model predictive control algorithm, collects the operating data of each module, dynamically allocates operating parameters according to the logic of "temperature priority and power balance", and makes timely adjustments when a module malfunctions, forming a closed-loop control.

[0012] Furthermore, it also includes a dynamic adaptation control step for the liquid cooling loop flow rate, which calculates the optimal liquid cooling flow rate for each module based on the real-time operating status of each module using the following formula; in For the first Real-time optimal liquid cooling flow rate of each energy storage module The rated reference flow rate of the module, This is the temperature correction factor. For the first Real-time operating temperature of each module The module's standard operating temperature. This is the power correction factor. For the first Real-time charging and discharging power of each module This refers to the module's rated power.

[0013] Furthermore, it also includes an electrical load balancing control step. After the multi-module splicing is completed, the output power of each module is dynamically adjusted through a load distribution algorithm. The calculation method for load distribution is as follows: in For the first The current distribution of each module, This represents the total load current of the energy storage system. For the first The rated capacity of each module For the first The power conversion efficiency of each module This represents the total number of energy storage modules after assembly. This is the module number.

[0014] Furthermore, the pre-configuration control before splicing also includes a dynamic adaptation verification step for the liquid cooling medium. After the control center reads the liquid cooling medium type, viscosity range, freezing point and boiling point parameters stored in each module, it collects the current viscosity value of the medium in real time through the viscosity sensor built into the module. When the viscosity of the medium is detected to be outside the working range, the heating or cooling device built into the module is automatically started to adjust the medium temperature. At the same time, a dynamic matrix of medium compatibility is established. When there is slight incompatibility between the media of different modules, the optimal mixing ratio is automatically calculated and the medium circulation pump is controlled to perform gradient mixing.

[0015] Furthermore, the physical splicing positioning control also includes an anti-interference collaborative control strategy. In response to electromagnetic interference and vibration interference in the industrial environment, an electromagnetic shielding layer and a low-pass filter module are added to the signal transmission lines of the vision sensor and distance sensor. At the same time, a vibration compensation algorithm is added to the drive circuit of the moving mechanism. Environmental vibration data is collected through an accelerometer. When the amplitude of environmental vibration exceeds 0.1g, the positioning pause mechanism is automatically activated.

[0016] Furthermore, the rapid connection control of the liquid cooling circuit also includes a module status self-diagnosis step. Before the electromagnetic reversing valve is opened, the local controller automatically starts the liquid cooling pipeline patency test, injects low-pressure gas into the circuit through a micro air pump, and simultaneously detects the insulation resistance and operating noise of the liquid cooling pump group. If an abnormality is found, a fault prompt is immediately issued and the module's splicing sequence is skipped. If the test is normal, the reversing valve and pump group are opened according to the preset procedure. During the liquid supply process, the pH value and impurity content of the medium are monitored in real time. When the medium deteriorates or impurities exceed the standard, the system automatically switches to the backup liquid cooling circuit and starts the filtration device.

[0017] Furthermore, the electrical interface adaptation control also includes a remote collaborative calibration step. The control center obtains the global coordinate information of each splicing module through the Beidou positioning module, performs coordinate calibration in combination with local visual positioning data, and performs bidirectional verification of the communication protocol of the electrical interface. The local controller and the controller of the adjacent module complete the communication link test through the preset verification code. During the soft start process, in addition to monitoring the current surge value, the temperature change at the interface is also collected in real time. When the interface temperature rise rate exceeds 5℃ / s, the voltage rise rate is automatically reduced. At the same time, the electrical parameter data of each splicing is recorded to form an interface adaptation database.

[0018] Furthermore, the post-assembly collaborative debugging control also includes extreme environment adaptation control steps. When the ambient temperature is detected to be below -10℃, the control center first starts the preheating program of the liquid cooling circuit, raises the medium temperature to above 5℃ through the electric heating device, and then starts the liquid supply. When the ambient temperature is above 45℃, the cooling fan speed of the liquid cooling system is automatically increased and the charging and discharging power limit of each module is reduced. In high-altitude environments, the output pressure of the liquid cooling pump group is adjusted according to the data collected by the air pressure sensor to compensate for the influence of air pressure changes on the circuit pressure, while optimizing the sealing structure of the electrical interface.

[0019] Furthermore, it also includes energy consumption optimization and control steps. The control center collects peak and valley electricity price data and ambient temperature data in real time. Combined with the charging and discharging efficiency models of each module, it dynamically adjusts the charging and discharging sequence of the energy storage system. During valley electricity hours, it prioritizes full-load charging and storing of electrical energy. During peak electricity hours, it prioritizes releasing electrical energy to meet load demand. At the same time, it optimizes the operating energy consumption of the liquid cooling system and adopts a zoned liquid supply strategy based on the temperature distribution of the modules.

[0020] Furthermore, it includes fault redundancy control steps. After the assembly is completed, the system automatically constructs redundant channels for liquid cooling and electrical circuits. When a fault is detected in the liquid cooling circuit of a module, the control center immediately activates the backup liquid cooling branch of the adjacent module to provide emergency heat dissipation for the faulty module through the shunt pipe, while reducing the charging and discharging power of the faulty module to a safe threshold. When a fault is detected in the electrical interface of a module, the power supply circuit of that module is automatically cut off, and the remaining modules are reassembled into a complete power supply network through the bypass switch. At the same time, the local controller records the identity information, fault type and occurrence time of the faulty module, uploads it to the control center and issues a maintenance reminder. After the fault is repaired, the module can be reconnected to the system via remote command.

[0021] Compared with existing technologies, the beneficial effects of this invention are:

[0022] The high-efficiency liquid-cooled energy storage module rapid splicing control method of the present invention achieves comprehensive optimization of many pain points of the existing technology, with significant core beneficial effects, and provides a reliable guarantee for the rapid deployment and stable operation of liquid-cooled energy storage systems.

[0023] This method achieves accurate acquisition of module information and efficient compatibility verification through pre-configuration control before splicing. Relying on unique identifiers and parameter storage units, combined with batch data reading from wireless communication links, it avoids errors caused by manual data entry. The media compatibility matrix and interface specification verification mechanism eliminate mismatch risks from the source, significantly improving the compatibility and accuracy of module splicing. Physical splicing positioning employs a visual and mechanical guidance collaborative control strategy, coupled with dual closed-loop positioning and anti-interference design, effectively improving positioning accuracy and environmental adaptability, shortening splicing time, and enabling rapid and accurate module docking.

[0024] The rapid connection control of the liquid cooling circuit introduces real-time monitoring and closed-loop regulation of pressure and flow. Precise timing control of the electromagnetic directional valve and a leakage emergency mechanism ensure leak-free flow of the liquid cooling medium, reduce safety hazards caused by sudden pressure changes in the circuit, and improve the operational reliability of the liquid cooling system. Electrical interface adaptation, through adaptive detection and soft-start control, achieves automatic matching of communication protocols and voltage levels, avoiding damage to electrical components from current surges and ensuring the stability and safety of electrical connections.

[0025] The post-assembly collaborative debugging and control system employs a multi-module collaborative algorithm and dynamic allocation strategy, combined with temperature and power priority logic, to achieve dynamic balance in the operating status of each module. This avoids problems such as localized overheating or uneven load, ensuring the overall stable operation of the system. Dynamic capacity expansion and fault redundancy control functions enable the system to flexibly respond to module additions and fault situations. The expansion process is fast and efficient, and rapid isolation and emergency backup are possible in the event of a fault, ensuring power supply continuity. Remote monitoring and fault diagnosis functions enhance the system's ease of operation and maintenance, reducing maintenance costs.

[0026] Overall, the control method of this invention has a complete process and rigorous logic, covering the entire process optimization from pre-configuration, positioning, connection, adaptation to collaborative debugging. It effectively improves the efficiency, accuracy and safety of liquid-cooled energy storage module splicing, enhances the flexibility and reliability of the system, meets the technical development needs of energy storage systems under the H02J classification number, is suitable for the rapid deployment and long-term stable operation of large-scale energy storage projects, and has broad application value. Attached Figure Description

[0027] Figure 1 This is a schematic block diagram of the rapid assembly control method for high-efficiency liquid-cooled energy storage modules proposed in this invention;

[0028] Figure 2 A comparison chart showing the total time taken to stitch together different numbers of modules;

[0029] Figure 3 This is a trend chart showing the changes in positioning deviation after multiple splicing operations;

[0030] Figure 4 Line graph comparing the operating pressure stability and leakage rate of the liquid cooling circuit;

[0031] Figure 5 A bar chart comparing power outage times under different fault types. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0034] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0035] Reference Figures 1 to 5 A method for rapid assembly and control of high-efficiency liquid-cooled energy storage modules, comprising the following steps;

[0036] Pre-configuration control before splicing: Each liquid-cooled energy storage module has a built-in dual identification unit of RFID and QR code and a parameter storage unit. The control center reads the identification code, rated flow of liquid cooling system, operating temperature range, rated electrical voltage and current, interface type and battery health data of each module through LoRa and 5G dual-mode wireless communication link, and establishes an information database containing a module compatibility matrix. At the same time, it pre-verifies the coaxiality of liquid cooling circuit interface, sealing gasket specifications, electrical interface pin definition and voltage level compatibility of each module, selects fully matching module groups, generates the optimal splicing sequence instruction based on the physical size and installation layout of the modules, and sends it to the local controller of each module.

[0037] Physical splicing positioning control: The system adopts a SIFT feature matching visual positioning and mechanical guidance collaborative control method. High-definition industrial cameras and laser distance sensors are deployed on the end face of each module. After receiving the splicing sequence command, the local controller drives the servo motor to start the moving mechanism. The industrial camera collects positioning mark images of adjacent modules in real time and analyzes the position deviation value through the feature matching algorithm. The laser distance sensor provides real-time feedback of the spacing data and dynamically adjusts the displacement accuracy and running speed of the moving mechanism to keep the alignment deviation of the module interface within 0.3mm, thus completing the rapid positioning of physical splicing.

[0038] Liquid cooling circuit rapid connection control: The local controller synchronously triggers the electromagnetic reversing valve at the module interface to open according to the preset timing sequence based on the pre-configured liquid cooling parameters, with the response time controlled within 50ms. At the same time, the circuit pressure sensor and electromagnetic flow sensor are activated to collect the pressure value and initial flow value of the liquid cooling circuit in real time. When the pressure value stabilizes in the working pressure range of 0.8-1.2MPa for 3 seconds, the liquid cooling pump group is triggered to start the initial liquid supply according to the preset flow rate. The flow closed-loop regulation ensures that the liquid cooling medium is leak-free and flows smoothly.

[0039] Electrical interface adaptation control: The adaptive interface detection unit built into the startup module identifies the electrical interface communication protocol type and power supply level of adjacent modules through impedance detection and signal analysis. The local controller automatically switches the matching communication module and voltage adaptation module, and gradually connects the power supply circuit using a ramp-up soft-start control strategy. At the same time, it monitors the current surge value at the interface. When the surge value is lower than 1.2 times the safety threshold of the rated current, the electrical interface is stably adapted, ensuring that no current surge damages the module.

[0040] Post-assembly collaborative debugging and control: The control center activates the model predictive control algorithm to uniformly collect real-time operating temperature, liquid cooling flow rate, charging and discharging power, and battery SOC data of each module. According to the priority logic of "temperature priority and power balance", the liquid cooling power and charging and discharging power of each module are dynamically allocated. When the temperature of a certain module exceeds the 45°C operating limit, the liquid cooling flow rate of that module is increased first and its output power is appropriately reduced to form a closed-loop control, ensuring the overall stable operation of the assembled energy storage system and meeting the load requirements of the power supply or distribution network.

[0041] The present invention also includes a liquid cooling circuit flow dynamic adaptation control step, which calculates the optimal liquid cooling flow of each module based on the real-time operating status of each module using the following formula to achieve a balance between heat dissipation efficiency and energy consumption. in For the first Real-time optimal liquid cooling flow rate of each energy storage module The rated reference flow rate of the module, This is a temperature correction factor, with a value ranging from 0.02 to 0.05℃. -1 , For the first Real-time operating temperature of each module The module's standard operating temperature. This is the power correction factor, with a value ranging from 0.1 to 0.3. For the first Real-time charging and discharging power of each module The flow regulation command is updated every 500ms to ensure that the temperature of each module remains stable within the operating range, based on the module's rated power.

[0042] This invention also includes an electrical load balancing control step. After the multi-module splicing is completed, the output power of each module is dynamically adjusted through a load distribution algorithm to avoid overload of a single module. The load distribution calculation method is as follows: in For the first The current distribution of each module, This represents the total load current of the energy storage system. For the first The rated capacity of each module For the first The power conversion efficiency of each module This represents the total number of energy storage modules after assembly. The module number is used to adjust the power output unit through PWM modulation technology, so that the load rate deviation of each module is controlled within 5%, thereby improving the overall operational stability and service life of the system.

[0043] In this invention, the pre-configuration control before splicing also includes a dynamic adaptation verification step for the liquid cooling medium. After the control center reads the liquid cooling medium type, viscosity range, freezing point and boiling point parameters stored in each module, it collects the current viscosity value of the medium in real time through the viscosity sensor built into the module. When the viscosity of the medium is detected to be outside the working range, the heating or cooling device built into the module is automatically activated to adjust the medium temperature and restore the viscosity to the adaptation range. At the same time, a dynamic matrix of medium compatibility is established. When there is slight incompatibility between the media of different modules, the optimal mixing ratio is automatically calculated and the medium circulation pump is controlled to perform gradient mixing to avoid medium deterioration or pipeline blockage caused by direct mixing, and to ensure the heat dissipation efficiency and system safety after the liquid cooling circuit is connected.

[0044] In this invention, the physical splicing positioning control also includes an anti-interference collaborative control strategy. To address electromagnetic and vibration interference in industrial environments, an electromagnetic shielding layer and a low-pass filter module are added to the signal transmission lines of the vision sensor and distance sensor to filter high-frequency interference signals. At the same time, a vibration compensation algorithm is added to the drive circuit of the moving mechanism. Environmental vibration data is collected by an accelerometer, and the displacement command of the moving mechanism is dynamically corrected to offset the impact of vibration on positioning accuracy. When the environmental vibration amplitude exceeds 0.1g, a positioning pause mechanism is automatically activated, and the positioning process is restarted after the vibration weakens. This ensures that the alignment deviation of the module interface is always controlled within a preset threshold, thereby improving the splicing reliability in complex environments.

[0045] In this invention, the rapid connection control of the liquid cooling circuit also includes a module status self-diagnosis step. Before the electromagnetic reversing valve is opened, the local controller automatically starts the liquid cooling pipeline patency detection. Low-pressure gas is injected into the circuit through a micro air pump, and the pressure decay rate is used to determine whether there is a blockage or leakage risk in the pipeline. At the same time, the insulation resistance and operating noise of the liquid cooling pump group are detected. If there is an abnormality, a fault prompt is immediately issued and the splicing sequence of that module is skipped. If the detection is normal, the reversing valve and pump group are opened according to the preset process. During the liquid supply process, the pH value and impurity content of the medium are monitored in real time. When the medium deteriorates or the impurities exceed the standard, the system automatically switches to the backup liquid cooling circuit and starts the filtration device to ensure the long-term stable operation of the liquid cooling system and avoid system abnormalities after splicing due to module failure.

[0046] In this invention, the electrical interface adaptation control also includes a remote collaborative calibration step. The control center obtains the global coordinate information of each splicing module through the Beidou positioning module and performs coordinate calibration in combination with local visual positioning data to eliminate the accumulation of positioning errors of individual modules. At the same time, the communication protocol of the electrical interface is bidirectionally verified. The local controller and the controller of the adjacent module complete the communication link test through a preset verification code to ensure that the data transmission delay is less than 10ms. During the soft start process, in addition to monitoring the current surge value, the temperature change at the interface is also collected in real time. When the interface temperature rise rate exceeds 5℃ / s, the voltage rise rate is automatically reduced to avoid overheating damage to the interface caused by excessive contact resistance. At the same time, the electrical parameter data of each splicing is recorded to form an interface adaptation database, providing parameter reference for subsequent splicing of similar modules.

[0047] In this invention, the post-assembly collaborative debugging control also includes an extreme environment adaptation control step. When the ambient temperature is detected to be below -10℃, the control center first starts the preheating program of the liquid cooling circuit, raising the medium temperature to above 5℃ through an electric heating device before starting the liquid supply, thus preventing the medium from solidifying and clogging the pipeline. When the ambient temperature is above 45℃, the cooling fan speed of the liquid cooling system is automatically increased and the charging and discharging power limit of each module is reduced to prevent the system from overheating. In high-altitude environments, the output pressure of the liquid cooling pump group is adjusted according to the data collected by the air pressure sensor to compensate for the influence of air pressure changes on the circuit pressure. At the same time, the sealing structure of the electrical interface is optimized to prevent short circuit faults caused by water vapor intrusion, enabling the system to operate stably in an environment range of -20℃ to 60℃ and altitude of 0 to 4500m, thus broadening the application scenarios.

[0048] This invention also includes an energy consumption optimization control step. The control center collects peak and valley electricity price data and ambient temperature data in real time, and dynamically adjusts the charging and discharging sequence of the energy storage system based on the charging and discharging efficiency models of each module. During valley electricity periods, it prioritizes full-load charging and storing of electrical energy, and during peak electricity periods, it prioritizes releasing electrical energy to meet load demand. At the same time, it optimizes the operating energy consumption of the liquid cooling system by adopting a zoned liquid supply strategy based on the module temperature distribution. The liquid cooling flow rate is reduced for modules with lower temperatures and increased for modules with higher temperatures, avoiding energy waste caused by uniform liquid supply. Through this control strategy, the overall operating energy consumption of the system can be reduced by more than 15%, improving the economic efficiency of the energy storage system and meeting the peak shaving and valley filling requirements of the power supply network.

[0049] This invention also includes a fault redundancy control step. After the assembly is completed, the system automatically constructs redundant channels for liquid cooling and electrical circuits. When a fault is detected in the liquid cooling circuit of a module, the control center immediately activates the backup liquid cooling branch of the adjacent module to provide emergency heat dissipation for the faulty module through the shunt pipe, while reducing the charging and discharging power of the faulty module to a safe threshold. When a fault is detected in the electrical interface of a module, the power supply circuit of that module is automatically cut off, and the remaining modules are reassembled into a complete power supply network through a bypass switch to ensure that the overall power supply of the system is uninterrupted. At the same time, the local controller records the identity information, fault type and occurrence time of the faulty module, uploads it to the control center and issues a maintenance reminder. After the fault is repaired, the module can be reconnected to the system through remote commands to achieve fault-tolerant operation of the system under fault conditions and improve the power supply reliability of the energy storage system.

[0050] The following two examples further illustrate the specific implementation of this system:

[0051] Example 1: Rapid Assembly and Control of Liquid-Cooled Energy Storage Modules in Large-Scale Photovoltaic Energy Storage Power Stations

[0052] This embodiment is applied to a 100MW photovoltaic power station with supporting energy storage. It requires splicing 20 standardized liquid-cooled energy storage modules to form an energy storage system with a total capacity of 200MWh. The system's operating temperature range is -15℃ to 55℃. The liquid cooling medium is a 50% concentration ethylene glycol aqueous solution. The rated voltage of the electrical system is 1500V. The goal is to achieve rapid and accurate splicing of modules and stable collaborative operation, fully implementing the control method of this invention.

[0053] I. Pre-configuration control before splicing

[0054] Each liquid-cooled energy storage module has a built-in RFID identification unit and a parameter storage unit. The identification unit stores a unique module code, while the parameter storage unit records the liquid cooling system's rated flow rate of 60L / min, operating temperature range of -20℃ to 60℃, rated electrical voltage of 1500V, rated current of 800A, and interface type as quick-plug. It also stores parameters such as the liquid cooling medium type (ethylene glycol aqueous solution), viscosity range of 1.8~2.5mPa·s, freezing point of -35℃, and boiling point of 110℃. The control center uses a 5G wireless communication link to read the above data from 20 modules in batches, establishing an information database containing module compatibility parameters. The database fields cover module code, liquid cooling parameters, electrical parameters, interface specifications, and medium characteristics.

[0055] The control center meticulously verified each module's liquid cooling circuit interface, including its 50mm outer diameter, fluororubber sealing rings, 16-pin industrial standard electrical interface pins, and 1500V voltage rating. By establishing a media compatibility matrix, the center analyzed the mixed stability of different module liquid cooling media, confirming that all modules had consistent media types, matched parameters, and no compatibility issues. Based on the module's physical layout and installation priority, a splicing sequence instruction of "rows 1-5, columns 1-4" was generated and transmitted to the local controller of each module via the 5G link. Upon receiving the instruction, the local controller entered the splicing state.

[0056] II. Physical splicing and positioning control

[0057] Each module's end face is equipped with a 2-megapixel high-definition industrial camera and a laser distance sensor. After receiving the stitching sequence command, the local controller drives the servo motor to start the module's moving mechanism. The industrial camera captures images of the QR code positioning marks on the end faces of adjacent modules in real time, transmits them to the local controller, and then analyzes the position deviation value through the SIFT feature matching algorithm. The laser distance sensor synchronously feeds back real-time distance data between modules, with a data sampling frequency of 100Hz.

[0058] A dual-loop positioning control strategy is adopted. The outer loop calculates the global positional deviation using data from visual sensors, while the inner loop detects the splicing fit using pressure sensors on the module end faces. The local controller dynamically adjusts the displacement accuracy of the moving mechanism to 0.01mm and the running speed to 5mm / s. When the global positional deviation is less than 0.3mm and the bonding pressure reaches a preset threshold of 0.3MPa, the electromagnetic locking structure is triggered, with a locking response time of 8ms, completing the mechanical fixing. Simultaneously, a positioning completion signal is fed back to the control center. The entire positioning process takes 28 seconds, with 20 modules completing physical splicing and positioning sequentially.

[0059] III. Rapid Connection Control of Liquid Cooling Circuit

[0060] Based on the pre-configured liquid cooling parameters, the local controller synchronously triggers the electromagnetic directional valve at the module interface to open in a preset sequence of "two ends first, then the middle," with a response time of 45ms. Simultaneously, the circuit pressure sensor and electromagnetic flow sensor are activated. The pressure sensor has a range of 0~2MPa, and the flow sensor has a range of 0~100L / min, to collect the pressure and initial flow values ​​of the liquid cooling circuit in real time.

[0061] When the pressure value stabilizes within the 0.8-1.2 MPa operating pressure range for 3 seconds, the control center issues a liquid supply command, and the liquid cooling pump unit starts, initially supplying liquid at a pre-configured flow rate of 60 L / min. During the liquid supply process, the pressure sensor continuously monitors the circuit pressure changes. When a pressure drop rate of 0.06 MPa / s is detected in a certain module's circuit, a leakage fault is identified. The local controller immediately triggers the solenoid reversing valve of that module to close, cutting off the faulty circuit. Simultaneously, the air-filled sealing ring backup sealing mechanism is activated to seal the interface gap. The control center simultaneously issues audible and visual alarm signals and generates location information including the leaking module code, location coordinates, and leakage severity level to guide maintenance personnel in handling the situation. The loss of liquid cooling medium from the faulty module is controlled within 50 mL.

[0062] IV. Electrical Interface Adaptor Control

[0063] The startup module's built-in adaptive interface detection unit collects electrical interface impedance signals from adjacent modules via an impedance detection circuit. Combined with a signal analysis module, it identifies the communication protocol type as CAN and the power supply level as 1500V high-voltage DC. The local controller automatically loads the CAN protocol parsing library, adjusts the communication baud rate to 250kbps, and sets the data frame format to standard frames. After protocol adaptation, communication stability is verified through a three-way handshake signal, and the data transmission delay between modules stabilizes at 8ms.

[0064] A ramp-up soft-start control strategy is adopted, gradually connecting the power supply circuit at a ramp-up rate of 0.5kV / s. Current sensors monitor the current surge value at the interface in real time. When the surge value stabilizes below 950A, the electrical interface is confirmed to be stably adapted. During the adaptation process, the temperature change at the interface is also monitored. When the temperature rise rate reaches 4℃ / s, the ramp-up rate is automatically reduced to 0.3kV / s to prevent excessive contact resistance from causing the interface to overheat. The electrical adaptation of all modules takes 12 minutes.

[0065] V. Post-assembly collaborative debugging and extended control

[0066] The control center initiates a multi-module collaborative control algorithm, collecting real-time operating temperature, liquid cooling flow rate, charge / discharge power, and battery SOC data for each module every 100ms via the data acquisition module. Data is dynamically allocated based on a priority logic of temperature first and power balance. When a module's temperature reaches its 45℃ operating limit, the liquid cooling flow rate for that module is increased to 70L / min, while its output power is reduced from 800kW to 750kW, forming a closed-loop control to ensure that the temperature of each module is maintained within the 35℃~42℃ range.

[0067] Liquid cooling temperature coordination control is initiated. The control center calculates the average temperature of all modules to be 38℃, with a temperature range of 5℃, which does not exceed the 8℃ threshold, thus eliminating the need for equalization control. When the ambient temperature drops to -12℃, the electric heating preheating function is automatically activated to raise the liquid cooling medium temperature to 6℃ before maintaining the liquid supply. After one month of operation, two additional modules are needed for capacity expansion. The control center first reduces the power output of the original system to the 400kW safety threshold. Following the steps described above, the pre-configuration, positioning, liquid cooling connection, and electrical adaptation of the new modules are completed. The charging and discharging power and liquid cooling flow of each module are redistributed through a coordination algorithm. After the new modules are connected, the system returns to its rated operating state in 55 seconds.

[0068] The remote monitoring platform receives real-time data from the control center on the assembly progress, operating parameters of each module, and fault information. Maintenance personnel issue parameter adjustment commands through the platform, fine-tuning the liquid cooling flow rate of some modules to 65 L / min. The fault diagnosis model built into the local controller successfully identified a minor pipeline blockage fault by analyzing parameter changes, generating suggestions including the cause of the fault and handling steps. After timely cleaning by maintenance personnel, the system returned to normal operation.

[0069] Table 1 Comparison of Module Assembly Performance of Large-Scale Photovoltaic Energy Storage Power Stations

[0070]

[0071] Table 1 clearly demonstrates the advantages of this invention in large-scale energy storage power station scenarios. Traditional splicing methods rely on manual configuration and positioning, resulting in time-consuming and inaccurate splicing, significant liquid cooling leakage and communication delays, and low expansion efficiency. This invention, through automated pre-configuration and dual closed-loop positioning, reduces the total splicing time of a single module to 45 minutes, controls interface alignment deviation to 0.25mm, reduces the liquid cooling circuit leakage rate to 0.2%, and stabilizes communication latency at 8ms. The recovery time for new module expansion is only 55 seconds, and the 30-day failure rate is as low as 0.3%, significantly improving the deployment efficiency, operational stability, and maintenance convenience of large-scale energy storage systems, meeting the needs of rapid commissioning and long-term stable operation of large-scale energy storage projects.

[0072] Example 2: Rapid Assembly and Control of Liquid-Cooled Energy Storage Modules in Distributed Industrial and Commercial Energy Storage Systems

[0073] This embodiment is applied to a distributed energy storage system in an industrial and commercial park. It requires the splicing of 8 liquid-cooled energy storage modules to form a 40MWh energy storage system for peak-valley electricity price arbitrage and load shaving. The system operates in an ambient temperature range of -10℃ to 48℃. The liquid cooling medium is a 40% concentration propylene glycol aqueous solution. The rated voltage of the electrical system is 800V. It is required to achieve flexible capacity expansion and fault-tolerant operation.

[0074] I. Pre-configuration control before splicing

[0075] Each liquid-cooled energy storage module has a built-in QR code identification unit and parameter storage unit. The stored parameters include module code, rated liquid cooling flow rate (40 L / min), operating temperature range (-20℃~60℃), rated electrical voltage (800V), rated current (500A), and interface type (snap-fit ​​quick connector). It also records parameters such as the liquid cooling medium being propylene glycol aqueous solution, viscosity range (2.0~2.6 mPa·s), freezing point (-25℃), and boiling point (105℃). The control center reads the parameter data from the eight modules via a LoRa wireless communication link to establish a module information database. The database includes fields such as module code, liquid cooling parameters, electrical parameters, interface specifications, and medium characteristics.

[0076] The control center performed compatibility checks on the liquid cooling circuit interfaces of each module (40mm outer diameter, silicone rubber sealing rings, 12-pin industrial standard electrical interface pins, 800V voltage rating). Media compatibility matrix analysis revealed that the viscosity of the media in two modules was slightly higher than the compatibility range. The control center automatically issued commands to activate the built-in heating devices in the modules, raising the media temperature from 20℃ to 25℃, reducing the viscosity to 2.3 mPa·s, meeting the compatibility requirements. Based on the installation space of the energy storage cabinets in the park, a splicing sequence command of "1-2 rows, 1-4 columns" was generated and sent to the local controllers of each module.

[0077] II. Physical splicing and positioning control

[0078] Each module is equipped with a 1.3-megapixel high-definition visual sensor and a laser distance sensor. After receiving the stitching sequence command, the local controller drives the stepper motor to start the moving mechanism. The visual sensor acquires positioning mark images of adjacent modules in real time, and the laser distance sensor provides real-time distance data. The local controller analyzes the position deviation value through the SIFT feature matching algorithm.

[0079] A dual-closed-loop positioning control strategy is adopted, combined with anti-interference collaborative control measures. Electromagnetic shielding layers and low-pass filter modules are added to the signal transmission lines of the vision sensor and distance sensor to filter high-frequency electromagnetic interference signals in the industrial environment. Simultaneously, a vibration compensation algorithm is incorporated into the drive circuit of the moving mechanism, dynamically correcting displacement commands by collecting environmental vibration data through an accelerometer. When the environmental vibration amplitude reaches 0.08g, the system automatically initiates a positioning pause mechanism, restarting positioning after the vibration weakens. When the global position deviation is less than 0.4mm and the contact pressure reaches the preset threshold of 0.25MPa, the electromagnetic locking mechanism activates, completing mechanical fixation and sending a positioning completion signal back to the control center. The total positioning time for the eight modules is 22 seconds.

[0080] III. Rapid Connection Control of Liquid Cooling Circuit

[0081] The local controller triggers the solenoid directional valve according to the preset "synchronous start" sequence, with a response time of 48ms. The start-up circuit pressure sensor and electromagnetic flow sensor are activated, and the liquid cooling pipeline patency detection process is initiated simultaneously. Low-pressure gas of 0.3MPa is injected into the circuit through a miniature air pump. After determining that there is no blockage in the pipeline based on the pressure decay rate, the liquid supply preparation stage officially begins.

[0082] When the pressure stabilizes within the 0.9-1.1 MPa operating range for 3 seconds, the liquid cooling pump unit starts, supplying liquid at a pre-configured flow rate of 40 L / min. During the liquid supply process, the pH value of the medium is monitored in real time by a pH sensor to ensure that the medium does not deteriorate, while the pressure sensor continuously monitors the loop pressure. When a pressure drop rate of 0.04 MPa / s is detected in a certain module loop, it is determined to be a minor leak. The local controller immediately closes the solenoid reversing valve of that module, activates the air-filled sealing ring to plug the interface, the control center issues a fault alarm signal, generates leak location information, and after timely handling by maintenance personnel, the module returns to normal operation, with the media loss not exceeding 30 mL.

[0083] IV. Electrical Interface Adaptor Control

[0084] The adaptive interface detection unit is activated, and the signal acquisition module collects the communication signal frequency, data frame format, and verification method of adjacent modules. The communication protocol type is identified as Modbus, and the power supply level is 800V high-voltage DC. The local controller automatically loads the Modbus protocol parsing library, adjusts the communication baud rate to 19200bps, and sets the data frame format to RTU. After protocol adaptation, communication stability is verified through a three-way handshake signal, and the data transmission delay between modules is stabilized at 9ms.

[0085] A ramp-up soft-start control strategy was adopted, connecting the power supply circuit at a ramp rate of 0.4kV / s. A current sensor monitored the current surge at the interface; when the surge value stabilized below 580A, the electrical interface was confirmed to be stably compatible. During the compatibility process, the interface temperature was monitored in real time. When the temperature rise rate reached 3.8℃ / s, the ramp rate was automatically reduced to 0.2kV / s to prevent overheating and damage to the interface. Simultaneously, the electrical parameter data of this assembly was recorded to form an interface compatibility database, providing a reference for subsequent module assembly. The total electrical compatibility time for the 8 modules was 8 minutes.

[0086] V. Post-assembly collaborative debugging and extended control

[0087] The control center initiates a multi-module collaborative control algorithm, collecting real-time operating temperature, liquid cooling flow rate, charge / discharge power, and battery SOC data for each module every 100ms, and dynamically allocating resources according to a logic of temperature priority and power balance. When a module temperature is detected to reach 44℃, its liquid cooling flow rate is increased to 48L / min, and the output power is appropriately reduced to 450kW to ensure that the temperature of each module is maintained within the range of 32℃~43℃.

[0088] Liquid cooling temperature coordination control is initiated. The control center calculates the average module temperature to be 36℃ with a temperature range of 4℃, eliminating the need for equalization control. When the ambient temperature rises to 46℃, the cooling fan operates at high speed to enhance heat dissipation and maintain module temperature stability. During operation, the control center dynamically adjusts the charging and discharging sequence based on grid peak and off-peak electricity price data. Full-load charging is performed during off-peak hours, and energy is released during peak hours. Simultaneously, a zoned liquid cooling strategy is adopted, reducing the liquid cooling flow rate to 35L / min for modules with lower temperatures to reduce system energy consumption.

[0089] When a liquid cooling circuit in a module fails, the control center immediately activates the backup liquid cooling branch of the adjacent module, providing emergency cooling to the faulty module through a shunt pipe, while simultaneously reducing the charging and discharging power of the faulty module to the 200kW safety threshold. When an electrical interface fault is detected in a module, its power supply circuit is automatically cut off, and the remaining seven modules are reconnected to form a complete power supply network via a bypass switch, ensuring uninterrupted system power supply. The remote monitoring platform uploads operational data and fault information in real time, and the fault diagnosis model built into the local controller identifies minor pipe blockage faults, generates handling suggestions, and the module is reconnected to the system after maintenance personnel repair it.

[0090] Table 2 Comparison of Operational Performance of Distributed Industrial and Commercial Energy Storage Systems

[0091]

[0092] Table 2 highlights the application value of this invention in distributed industrial and commercial energy storage scenarios. Traditional splicing methods suffer from uneven module temperature distribution, large power deviation, and high operating energy consumption. Power outages during faults are prolonged, impacting peak-valley arbitrage profits. This invention, through collaborative debugging and temperature equalization control, achieves a module temperature range of only 4°C under full load, power deviation controlled within 3%, and daily operating energy consumption reduced to 26 kWh. In fault conditions, redundant design ensures uninterrupted power supply, increasing monthly peak-valley arbitrage profits to 51,000 yuan, with a dielectric deterioration rate as low as 0.1%. This method effectively improves the operational stability, economy, and fault tolerance of distributed energy storage systems, adapting to the complex energy demands and flexible operation and maintenance requirements of industrial and commercial parks.

[0093] Reference Figure 2This figure visually demonstrates the rapid assembly advantages of this invention across different module numbers. Traditional assembly methods rely on manual configuration, positioning, and adaptation. As the number of modules increases, the time consumption increases linearly and significantly, reaching 180 minutes for 10 modules, primarily due to the time-consuming manual verification of compatibility and adjustment of positioning deviations. This invention, through automated pre-configuration control to batch read parameters and verify compatibility, dual closed-loop positioning control for rapid and accurate interface alignment, and adaptive adaptation of electrical and liquid cooling circuits to reduce manual intervention, assembles 8 modules in just 45 minutes and 10 modules in 55 minutes, with a significantly lower increase in time compared to traditional methods. The data in the figure verifies the significant improvement in assembly efficiency brought about by the automated control strategy of this invention, making it particularly suitable for the rapid deployment of large-scale energy storage systems and meeting the requirements for efficient operation of energy storage systems.

[0094] Reference Figure 3 This diagram highlights the stability and high precision of the positioning control in this invention. Traditional splicing methods rely on mechanical guidance and manual calibration. After multiple splicings, mechanical wear and accumulated positioning errors increase the deviation from 0.8mm to 1.5mm, far exceeding the safety threshold, easily leading to poor interface sealing or electrical contact. This invention employs dual closed-loop positioning control, combining collaborative feedback from visual and pressure sensors, along with anti-interference electromagnetic shielding and vibration compensation algorithms. The positioning deviation remains stable between 0.25-0.29mm, with minimal fluctuations, consistently below the 0.3mm threshold. The data in the diagram verifies the effectiveness of the dual closed-loop positioning and anti-interference design, ensuring high-precision alignment even after multiple splicings. This lays the foundation for leak-free liquid cooling circuit connectivity and stable electrical adaptation, improving the long-term reliability of the energy storage system.

[0095] Reference Figure 4 This figure vividly demonstrates the stability and safety of the liquid cooling loop control in this invention. Traditional methods lack closed-loop pressure control and leakage emergency mechanisms. With prolonged operation, aging of the pipeline seals leads to pressure fluctuations increasing from 0.18 MPa to 0.33 MPa, with a leakage rate reaching 2.5%, posing media loss and safety hazards. This invention utilizes precise timing control via an electromagnetic reversing valve, real-time feedback from pressure sensors, and dynamic adjustment of the pump output. In the event of a leak, the loop is quickly cut off and a backup seal is activated, stabilizing pressure fluctuations within 0.04-0.06 MPa and controlling the leakage rate below 0.1%. The data in the figure verify the effectiveness of the liquid cooling loop closed-loop control and leakage emergency strategy, ensuring stable flow of the liquid cooling medium, preventing pressure surges or leaks from affecting the heat dissipation efficiency of the energy storage module, and guaranteeing long-term safe operation of the system.

[0096] Reference Figure 5This figure illustrates the reliability of the fault redundancy control in this invention. Traditional methods lack fault isolation and redundancy design, requiring system shutdown for troubleshooting and repair after a fault occurs, leading to power outages and affecting the continuity of load power supply. The outage time for various faults is 5-12 minutes. This invention, through fault redundancy control, activates the backup branch of the adjacent module when the liquid cooling circuit fails, automatically disconnects the faulty module and activates the bypass switch when an electrical fault occurs, and automatically switches protocol adaptation when a communication fault occurs. The power outage time is 0 for all fault types. The data in the figure verifies the effectiveness of the fault redundancy design and emergency switching mechanism, ensuring that the system can still maintain power supply when a fault occurs, improving the reliability and fault tolerance of the energy storage system, and meeting the core requirement of continuous power supply for energy storage systems.

[0097] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for rapid assembly and control of high-efficiency liquid-cooled energy storage modules, characterized in that, Includes the following steps: Pre-configuration control before splicing: Each liquid-cooled energy storage module has a built-in dual identification unit of RFID and QR code and a parameter storage unit. The control center reads the core parameters and health status data of the module through dual-mode wireless communication, establishes an information database containing a compatibility matrix, filters and matches module groups, and generates the optimal splicing sequence command based on the installation layout and sends it to the local controller. Physical splicing and positioning control: It adopts visual positioning and mechanical guidance coordinated control. The detection equipment is deployed on the end face of the module. After receiving the command, the local controller drives the moving mechanism. By collecting position information in real time and analyzing deviation data, the operating parameters are dynamically adjusted. Liquid cooling circuit rapid connection control: The local controller triggers the opening of the solenoid directional valve according to the pre-configured parameters, and starts the pressure and flow sensors to collect data; Electrical interface adaptation control: The adaptive interface detection unit is activated to identify the electrical protocol and power supply level of adjacent modules. The local controller automatically switches to the matching module, adopts a soft-start strategy to connect the power supply circuit, monitors current surges, and completes stable electrical interface adaptation. Post-assembly collaborative debugging and control: The control center starts the model predictive control algorithm, collects the operating data of each module, dynamically allocates operating parameters according to the logic of "temperature priority and power balance", and makes timely adjustments when a module malfunctions, forming a closed-loop control; It also includes a dynamic adaptation control step for the liquid cooling loop flow rate, which calculates the optimal liquid cooling flow rate for each module based on the real-time operating status of each module using the following formula; in For the first Real-time optimal liquid cooling flow rate for each energy storage module The rated reference flow rate of the module, This is the temperature correction factor. For the first Real-time operating temperature of each module The module's standard operating temperature. This is the power correction factor. For the first Real-time charging and discharging power of each module Rated power of the module; It also includes an electrical load balancing control step. After the multi-module splicing is completed, the output power of each module is dynamically adjusted through a load distribution algorithm. The calculation method for load distribution is as follows: in For the first The current distribution of each module, This represents the total load current of the energy storage system. For the first The rated capacity of each module, No. The power conversion efficiency of each module This represents the total number of energy storage modules after assembly. Module number; The physical splicing positioning control also includes an anti-interference collaborative control strategy. In response to electromagnetic interference and vibration interference in the industrial environment, an electromagnetic shielding layer and a low-pass filter module are added to the signal transmission lines of the vision sensor and distance sensor. At the same time, a vibration compensation algorithm is added to the drive circuit of the moving mechanism. Environmental vibration data is collected through an accelerometer. When the amplitude of environmental vibration exceeds 0.1g, the positioning pause mechanism is automatically activated.

2. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, The pre-configuration control before splicing also includes a dynamic adaptation and verification step for liquid cooling media. After the control center reads the liquid cooling media type, viscosity range, freezing point and boiling point parameters stored in each module, it collects the current viscosity value of the media in real time through the viscosity sensor built into the module. When the viscosity of the media is detected to be outside the working range, the heating or cooling device built into the module is automatically started to adjust the temperature of the media. At the same time, a dynamic matrix of media compatibility is established. When there is slight incompatibility between media from different modules, the optimal mixing ratio is automatically calculated and the media circulation pump is controlled to perform gradient mixing.

3. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, The rapid connection control of the liquid cooling circuit also includes a module status self-diagnosis step. Before the electromagnetic reversing valve is opened, the local controller automatically starts the liquid cooling pipeline patency test, injects low-pressure gas into the circuit through a micro air pump, and at the same time detects the insulation resistance and operating noise of the liquid cooling pump group. If there is an abnormality, a fault prompt is immediately issued and the splicing sequence of that module is skipped. If the test is normal, the reversing valve and pump group are opened according to the preset procedure. During the liquid supply process, the pH value and impurity content of the medium are monitored in real time. When the medium deteriorates or the impurities exceed the standard, the system automatically switches to the backup liquid cooling circuit and starts the filtration device.

4. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, The electrical interface adaptation control also includes a remote collaborative calibration step. The control center obtains the global coordinate information of each splicing module through the Beidou positioning module, and performs coordinate calibration by combining it with local visual positioning data. At the same time, it performs bidirectional verification of the communication protocol of the electrical interface. The local controller and the controller of the adjacent module complete the communication link test through the preset verification code. During the soft start process, in addition to monitoring the current surge value, it also collects the temperature change at the interface in real time. When the interface temperature rise rate exceeds 5℃ / s, it automatically reduces the boost rate. At the same time, it records the electrical parameter data of each splicing to form an interface adaptation database.

5. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, The post-assembly collaborative debugging and control also includes extreme environment adaptation control steps. When the ambient temperature is detected to be below -10℃, the control center first starts the preheating program of the liquid cooling circuit, raises the medium temperature to above 5℃ through the electric heating device, and then starts the liquid supply. When the ambient temperature is above 45℃, the cooling fan speed of the liquid cooling system is automatically increased and the charging and discharging power limit of each module is reduced. In high-altitude environments, the output pressure of the liquid cooling pump group is adjusted according to the data collected by the air pressure sensor to compensate for the influence of air pressure changes on the circuit pressure, and at the same time, the sealing structure of the electrical interface is optimized.

6. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, It also includes energy consumption optimization and control steps. The control center collects grid peak and valley electricity price data and ambient temperature data in real time. Combined with the charging and discharging efficiency models of each module, it dynamically adjusts the charging and discharging sequence of the energy storage system. During valley electricity hours, it prioritizes full-load charging and storing of electrical energy. During peak electricity hours, it prioritizes releasing electrical energy to meet load demand. At the same time, it optimizes the operating energy consumption of the liquid cooling system and adopts a zoned liquid supply strategy according to the temperature distribution of the modules.

7. The rapid assembly control method for high-efficiency liquid-cooled energy storage modules according to claim 1, characterized in that, It also includes fault redundancy control steps. After the system is assembled, it automatically builds redundant channels for liquid cooling and electrical circuits. When a fault is detected in the liquid cooling circuit of a module, the control center immediately starts the backup liquid cooling branch of the adjacent module and provides emergency heat dissipation for the faulty module through the shunt pipe. At the same time, it reduces the charging and discharging power of the faulty module to a safe threshold. When a fault is detected in the electrical interface of a module, the power supply circuit of the module is automatically cut off. The remaining modules are reassembled into a complete power supply network through the bypass switch. At the same time, the local controller records the identity information, fault type and occurrence time of the faulty module, uploads it to the control center and issues a maintenance reminder. After the fault is repaired, the module can be reconnected to the system through remote commands.

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