A lithium battery energy storage power station integrated safety construction method and system

Abstract

The application provides a lithium battery energy storage power station integrated safety construction method and system, and relates to the technical field of energy storage power station construction, which comprises the following steps: in a power-off state, a liquid cooling valve corresponding to a specific physical address is controlled to be opened and closed alternately according to a preset pulse sequence to pump intermittent heat exchange fluid into a corresponding branch; a temperature variation sequence of a to-be-tested battery cluster and surrounding non-liquid-passing battery clusters is obtained; an environmental temperature drift reference is calculated based on multiple groups of reference temperature variation sequences to obtain a net heat exchange sequence eliminating climate interference; a fluctuation period characteristic of the temperature variation rate in the net heat exchange sequence is extracted; when the overall temperature drop reaches a preset heat exchange limit and the fluctuation period characteristic matches an action period of the preset pulse sequence, it is determined that the connection is correct, otherwise, it is determined that a pipeline misconnection fault occurs. The application excludes temperature monitoring interference caused by passive heat transfer in space, and improves the accuracy of pipeline mapping relationship checking.

Description

Technical Field

[0001] This invention relates to the field of energy storage power station construction technology, and in particular to an integrated safe construction method and system for lithium battery energy storage power stations. Background Technology

[0002] During the construction and commissioning phases of a lithium-ion battery energy storage power station, multiple battery clusters are densely arranged in a matrix within the energy storage compartment. Each battery cluster is equipped with a corresponding liquid-cooled plate, and the compartment is also equipped with corresponding liquid-cooled distribution pipelines. The main pipelines and branch pipelines are responsible for delivering heat exchange fluids to the liquid-cooled plates of each battery cluster for thermal management. To enable the monitoring of internal parameters of the battery clusters and the issuance of control commands, a complete battery management communication network is deployed within the energy storage compartment.

[0003] In actual on-site construction, the physical interface connections of liquid-cooled valves on liquid-cooled branch pipelines and the allocation of communication logical addresses for battery clusters are often completed by different construction personnel at different stages. This can objectively lead to mismatches in pipeline mapping relationships after equipment installation. To ensure accurate control of the thermal management system later, technicians will verify the consistency between pipeline physical interfaces and communication logical addresses before commissioning. Current verification methods often involve introducing heat exchange fluid into a specific liquid-cooled branch and then observing the temperature changes at each network node to determine the actual flow of the fluid and the corresponding pipeline relationships.

[0004] Because the energy storage compartment is a relatively enclosed space with small physical spacing between battery clusters, when liquid cooling is applied to a certain branch, the cooling energy diffuses to the surrounding area due to solid-phase heat conduction between adjacent battery clusters and local air convection. This diffusion causes nearby battery clusters without liquid cooling to also experience a decrease in surface temperature. The passive heat transfer patterns caused by the objective physical environment can interfere with the temperature monitoring data of the test nodes, making it easy to be biased when relying solely on the node temperature drop to determine the correspondence between physical interfaces and communication addresses. Summary of the Invention

[0005] The purpose of this invention is to provide an integrated safety construction method and system for lithium battery energy storage power stations, in order to solve the technical problem that existing conventional verification methods are easily affected by passive heat transfer interference in the energy storage compartment, leading to deviations in the determination of the mapping relationship between pipeline physical interfaces and communication logical addresses.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides an integrated and safe construction method for lithium battery energy storage power stations, comprising:

[0008] After completing the placement of the battery clusters and cable connections inside the energy storage compartment, keep the high-voltage main circuit in a de-energized state.

[0009] Based on a preset pulse sequence, the liquid cooling valves corresponding to specific physical addresses are controlled to open and close alternately, so as to pump intermittent heat exchange fluid into the corresponding branch and keep the remaining liquid cooling valves in the closed state.

[0010] Obtain the target temperature variation sequence of the battery cluster under test corresponding to the specified communication address, and simultaneously obtain the reference temperature variation sequence of the battery cluster without liquid flow corresponding to the remaining liquid cooling valve;

[0011] The environmental temperature drift baseline is calculated based on multiple sets of the reference temperature variation sequences, and the target temperature variation sequence is subtracted from the environmental temperature drift baseline to obtain the net heat transfer sequence that eliminates climate interference.

[0012] Extract the fluctuation periodicity characteristics of the temperature change rate in the net heat exchange sequence;

[0013] When the overall temperature drop of the net heat exchange sequence reaches the preset heat exchange limit, and the fluctuation period characteristic matches the action period of the preset pulse sequence, it is determined that the designated communication address and the specific physical address are correctly connected.

[0014] If the overall temperature drop does not reach the preset heat exchange limit and the fluctuation period characteristic does not match the action period of the preset pulse sequence, a pipeline misconnection fault is determined to have occurred.

[0015] Optionally, the calculation of the environmental temperature drift benchmark based on multiple sets of the reference temperature variation sequences includes:

[0016] Multiple non-liquid-fluid ...

[0017] Extreme temperature data exhibiting local abrupt changes or jumps are removed from the multiple sets of reference temperature variation sequences;

[0018] The arithmetic mean of the remaining reference temperature variation sequence after removing the extreme temperature data is calculated, and the calculated arithmetic mean is used as the environmental temperature drift benchmark reflecting the global climate fluctuation inside the energy storage chamber.

[0019] Optionally, the pumping of intermittent heat exchange fluid into the corresponding branch includes:

[0020] Extracting liquid from external natural water sources or ambient temperature water storage tanks;

[0021] When the absolute value of the difference between the current temperature of the extracted liquid and the initial surface temperature of the battery cluster under test is greater than a preset identification difference parameter, the extracted liquid is pumped into the main pipeline as the heat exchange fluid and flows to the corresponding branch pipeline, while keeping the refrigeration unit in a closed state.

[0022] Optionally, after determining that the specified communication address and the specific physical address are correctly connected, the method further includes:

[0023] Control the liquid cooling valve corresponding to the specific physical address to switch to the normally open state and continuously pump the heat exchange fluid;

[0024] Monitor the final steady-state heat transfer drop when the battery cluster under test reaches a dynamic thermal equilibrium state;

[0025] Compare the final steady-state heat transfer drop with the pre-set unobstructed heat transfer standard range;

[0026] When the final steady-state heat exchange drop deviates from the standard range for unobstructed heat exchange, it is determined that there are microscopic bubbles or throttling foreign objects blocking the corresponding pipeline, and a pipeline unblocking prompt is output.

[0027] Optionally, after verifying the specific physical address, the process may further include:

[0028] Close the currently open liquid cooling valve;

[0029] The surface temperature of the battery cluster under test, which is affected by the heat exchange fluid, is allowed to gradually rise until the surface temperature of the battery cluster under test returns to the same temperature range as the surrounding unfluid-filled battery clusters.

[0030] Based on the pre-arranged traversal and verification list, the physical address and communication address to be verified are changed, and the verification steps are repeated until all branch pipelines in the energy storage compartment have been verified.

[0031] Optionally, controlling the liquid-cooled valve corresponding to a specific physical address to alternately open and close according to a preset pulse sequence includes:

[0032] Control the liquid supply pump to output a constant fluid pressure to the main pipeline;

[0033] The liquid-cooled valves are opened and closed alternately according to a smooth transition slope curve.

[0034] The duty cycle of the alternating opening and closing action is adjusted so that the duration of the open state is greater than the thermal conduction response delay time of the physical structure of the battery cluster under test.

[0035] Optionally, extracting the fluctuation periodicity features of the temperature change rate in the net heat exchange sequence includes:

[0036] Perform a differential operation on the net heat transfer sequence to obtain the temperature drop rate sequence;

[0037] The temperature drop rate sequence is smoothed by using a sliding window to identify the minimum point where a negative abrupt change occurs as the temperature drop step point.

[0038] Calculate the time interval between adjacent cooling step points, and use the statistical average of multiple sets of such time intervals as the fluctuation period characteristic.

[0039] Optionally, determining a pipeline misconnection fault when the overall temperature drop does not reach the preset heat transfer limit and the fluctuation period characteristic does not match the action period of the preset pulse sequence includes:

[0040] When the overall temperature drop reaches the preset heat exchange limit, but no fluctuation period feature matching the action period of the preset pulse sequence is extracted, it is determined that the intermittent heat exchange fluid was mistakenly injected into the adjacent battery cluster, and it is determined that the specified communication address and the specific physical address are not actually connected.

[0041] Optionally, after determining that a pipeline misconnection fault has occurred, the method further includes:

[0042] Subtract the ambient temperature drift baseline from the reference temperature variation sequence of each of the non-liquid-fluid ...

[0043] Traverse the net heat exchange sequence corresponding to each of the non-liquid-filled battery clusters in the energy storage chamber;

[0044] From all the unfluidized battery clusters, find the target battery cluster whose overall temperature drop reaches the preset heat transfer limit and exhibits a specific fluctuation period that matches the action period of the preset pulse sequence;

[0045] Retrieve the actual communication address bound to the target battery cluster;

[0046] In the battery management system, the specific physical address is associated with the actual communication address through a topology mapping.

[0047] Secondly, the present invention provides an integrated safe construction system for lithium battery energy storage power stations, comprising:

[0048] The energy storage compartment contains multiple battery clusters and liquid-cooled distribution pipelines connected to each battery cluster. The energy storage compartment also has a communication network connecting each battery cluster.

[0049] The field control equipment establishes communication and control connections with the communication network and each liquid-cooled valve on the liquid-cooled distribution pipeline;

[0050] The field control device includes a processor and a non-volatile storage medium. When the processor executes a computer program stored on the non-volatile storage medium, it is configured to perform the steps of the integrated safety construction method for lithium battery energy storage power stations as described in any of the first aspects.

[0051] The present invention has achieved the following beneficial effects:

[0052] This invention, while maintaining the high-voltage main circuit under power failure, controls the alternating opening and closing of liquid-cooled valves at specific physical addresses according to a preset pulse sequence, pumping intermittent heat exchange fluid into the corresponding branches. It calculates the environmental temperature drift benchmark by combining temperature variation data of the tested battery cluster and surrounding non-liquid-circuited battery clusters, thus eliminating interference from global climate fluctuations. This invention utilizes the fluctuation periodicity of temperature change rate in the net heat exchange sequence with the action cycle for comparison and matching. Relying on the smooth attenuation characteristics of solid-phase heat conduction and spatial heat convection during the transmission process, it distinguishes between active fluid heat exchange and passive environmental heat transfer, achieving objective determination of the connection status between pipeline physical addresses and communication logical addresses in an environment with multiple intertwined spatial heat transfers. Upon determining a pipeline misconnection fault, the system directly corrects the topology mapping association at the underlying software logic level, replacing the physical pipeline reconnection operation. This helps improve the accuracy of address mapping verification during the construction and commissioning phase of the energy storage power station and reduces the complexity of on-site construction operations.

[0053] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0054] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0055] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0056] Figure 1 This is a diagram illustrating the module composition and communication control connection structure of an integrated safety construction system for lithium battery energy storage power stations, as disclosed in an embodiment of the present invention.

[0057] Figure 2 This is an overall flowchart of a method for the safe construction of an integrated lithium battery energy storage power station, as disclosed in an embodiment of the present invention.

[0058] Figure 3 This is a flowchart illustrating the steps of calculating the environmental temperature drift baseline and obtaining the net heat transfer sequence after eliminating climate disturbances in an embodiment of the present invention.

[0059] Figure 4 This is a flowchart illustrating the steps for extracting the temperature change rate fluctuation periodicity features in an embodiment of the present invention.

[0060] Figure 5 This is a flowchart of the logical determination and topology mapping association steps after determining a pipeline misconnection fault in an embodiment of the present invention;

[0061] Figure 6 This is a flowchart of the steady-state heat transfer difference monitoring and pipeline diagnosis steps after determining that the pipeline connection is correct, as described in this embodiment of the invention. Detailed Implementation

[0062] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0063] Combination Figure 1 As shown, during the construction and commissioning phase of the lithium battery energy storage power station, multiple battery clusters 20 are arranged in a matrix inside the energy storage compartment 10. Each battery cluster 20 is equipped with a liquid cooling plate 21. The energy storage compartment 10 is equipped with a liquid cooling distribution pipeline 30, which delivers heat exchange fluid to the liquid cooling plates 21 of each battery cluster 20 via a main pipeline 31 and branch pipelines 32. Simultaneously, a communication network 50 is deployed within the energy storage compartment 10 to monitor the internal parameters of each battery cluster 20 and issue control commands. The liquid cooling valve 33 is an electronic proportional control valve with a stepper motor actuator and a high-precision position encoder, possessing 0~100% stepless opening adjustment and physical position closed-loop feedback capability, supporting high-resolution valve core throttling area fine-tuning via pulse width modulation (PWM) signals. During construction, the physical interface of the liquid cooling valve 33 on the liquid cooling branch pipeline 32 and the communication logic address of the battery cluster 20 are mismatched due to different construction processes. In the enclosed environment of the energy storage chamber 10, the method of circulating liquid into a specific branch pipeline 32 and monitoring the temperature change of the target node is susceptible to passive heat transfer interference due to the solid-phase heat conduction between adjacent battery clusters 20 and the convection of air in space. This can lead to deviations in the determination of the mapping relationship. Therefore, this invention discloses an integrated safety construction method and system for lithium battery energy storage power stations. By applying a preset pulse sequence and extracting frequency characteristics, the influence of spatial heat conduction is separated, and the pipeline mapping relationship is verified.

[0064] This invention discloses an integrated and safe construction method for lithium battery energy storage power stations, such as... Figure 2 As shown, the method specifically includes the following steps:

[0065] Step S10: After the battery cluster 20 in the energy storage compartment 10 is positioned and the cable is connected, the high-voltage main circuit is kept in a de-energized state; the liquid cooling valve 33 corresponding to a specific physical address is controlled to open and close alternately according to the preset pulse sequence, so as to pump intermittent heat exchange fluid into the corresponding branch, and keep the remaining liquid cooling valve 33 in a closed state.

[0066] After the battery clusters 20 in the energy storage compartment 10 are positioned, the liquid-cooled quick-connect connectors are plugged in, and the communication cables are connected, the field control equipment 40 outputs a level command to keep the high-voltage main circuit in a de-energized state. The specific operations for keeping the high-voltage main circuit in a de-energized state include: disconnecting the main circuit breaker on the DC side of the energy storage converter, disconnecting the main fuses at the high-voltage output terminals of each battery cluster 20, and configuring the physical maintenance switch in the underlying relay drive circuit to be in the off state. The power-off operation blocks the heat generated by the cells inside the battery clusters 20 during charging and discharging, so that the variables affecting the surface temperature of the battery clusters 20 under test are mainly the external ambient air temperature and the temperature of the heat exchange fluid in the liquid-cooled distribution pipes 30, providing a physical environment for extracting temperature response characteristics.

[0067] The field control device 40 controls the liquid-cooled valve 33 corresponding to a specific physical address to perform alternating opening and closing actions based on a preset pulse sequence retrieved from memory. The preset pulse sequence is composed of alternating opening and closing control levels with a set duty cycle in the time domain. The field control device 40 sends this preset pulse sequence to the actuator of the liquid-cooled valve 33 corresponding to the specific physical address to be verified. After receiving the control level, the liquid-cooled valve 33 performs periodic on / off actions. When in the on state, the heat exchange fluid in the main pipeline 31 enters the corresponding branch pipeline 32; when in the off state, the fluid circulation in the corresponding branch pipeline 32 is blocked. Simultaneously, the field control device 40 sends a cutoff command to the unselected physical address node, keeping the remaining liquid-cooled valves 33 in the energy storage compartment 10 in the closed state.

[0068] The conditions for pumping intermittent heat exchange fluid into the corresponding branch include: drawing liquid from an external natural water source or a normal-temperature water storage tank; when the absolute value of the difference between the current temperature of the drawn liquid and the initial surface temperature of the battery cluster 20 under test is greater than a preset identification difference parameter, the drawn liquid is pumped into the main pipeline 31 as heat exchange fluid and flows to the corresponding branch pipeline 32, while keeping the refrigeration unit 35 in a closed state. Specifically, the heat exchange fluid is an antifreeze coolant composed of 50% water and 50% industrial-grade ethylene glycol by volume. Under the reference operating condition of 25°C, the fluid density is... The specific value is It can be formulated according to different antifreeze ratios. The value is taken within the closed interval; the isobaric specific heat capacity of the heat exchange fluid The specific value is The range of values ​​is The system's preset parameters are hard-coded and solidified by defining global static floating-point constants in the initialization control code of the field control device 40, allowing for direct reading and calling of subsequent heat balance and flow algebraic equations without the need for manual secondary online calculations. The field control device 40 acquires the current temperature data of the liquid in the water storage container and obtains the initial surface temperature data of the battery cluster 20 under test via the communication network 50. The field control device 40 calculates the absolute value of the difference between the current temperature data and the initial surface temperature data. When the absolute value of the difference is greater than the preset identification difference parameter, the field control device 40 controls the liquid supply pump 34 to draw the room temperature liquid as a heat exchange fluid and pump it into the main pipeline 31, and sends a control signal to the refrigeration unit 35 to prohibit its start.

[0069] The liquid-cooled valve 33 corresponding to a specific physical address is controlled to open and close alternately according to a preset pulse sequence. This includes the following control parameters: controlling the supply water pump 34 to output a constant fluid pressure to the main pipeline 31; executing the alternating opening and closing action of the liquid-cooled valve 33 according to a smooth transition slope curve; and adjusting the duty cycle of the alternating opening and closing action so that the duration of the open state is greater than the thermal conduction response delay time of the physical structure of the battery cluster 20 under test. The lower limit of the identification difference parameter is limited by the background quantization noise of the on-site temperature sensor 60, and in engineering, it is calibrated to be 3 to 5 times the standard deviation of the static temperature drift of the temperature sensor 60. The smooth transition slope curve of the alternating opening and closing action is achieved by limiting the incremental step size of the control level pulse width modulation, thus constraining the transient flow gradient of the fluid in the pipeline below the water hammer excitation critical value allowed by the volumetric elastic modulus of the pipe material.

[0070] Specifically, the water hammer excitation critical value The derivation steps are as follows: Calculate according to the Jyokovsky formula: ;in, For fluid density; The fluid velocity is determined by the elastic modulus of the pipe; the increment step size is set to ensure that the transient velocity change caused by a single pulse width adjustment is... The corresponding surge in pressure is strictly less than The increment step size is set to be 2% to 5% of the valve's full opening stroke. The thermal conduction response delay time of the physical structure of the battery cluster 20 under test is evaluated based on a first-order transient thermal conductivity model, and its numerical derivation is the ratio of the square of the wall thickness of the liquid cooling plate 21 base to the thermal diffusivity of the aluminum substrate.

[0071] The fluid sound velocity The modified Korteweg classical analytical equation for water hammer wave velocity is used for derivation, and its specific mathematical expression is as follows: In the formula, The bulk modulus of the heat transfer fluid under the current composition is given, and the stiffness is taken as [value missing]. ; The fluid density is as described above; The elastic modulus of the material actually selected for the pipeline network, when the system uses polytetrafluoroethylene (PTFE) pipes, The range of values ​​is In this embodiment, the specific value is... When the system uses stainless steel corrugated pipes, The range of values ​​is In this embodiment, the specific value is... ; The inner diameter of branch pipe 32 is taken as [value]. ; For the pipe wall thickness, the value is [value to be filled in]. The sound velocity of the fluid inside the PTFE pipe was calculated using the above structural parameters input into the on-site control equipment 40. for The speed of sound of fluid inside stainless steel pipes for .

[0072] The thermal diffusivity of a material is calculated as the quotient of the product of thermal conductivity, density, and specific heat capacity. The physical derivation is as follows: ,

[0073] In the formula, The thermal diffusivity of the aluminum substrate; The thermal conductivity of the aluminum substrate; The material density of the aluminum substrate; This refers to the specific heat capacity under constant pressure of the aluminum substrate. Specifically, the aluminum substrate is a 3003-H14 grade rust-resistant manganese-aluminum alloy commonly used in battery liquid cooling plates. Its thermal conductivity... The specific value is Material density The specific value is Specific heat capacity at constant pressure The specific value is The aforementioned physical constants are directly embedded in the non-volatile storage medium to resolve the thermal conductivity response calculation faults caused by different material grades.

[0074] Therefore, the industrial control physics benchmark formula for the heat conduction response delay time is derived as follows: ,

[0075] In the formula, This is the thermal conduction response delay time; To set the equivalent solid phase wall thickness between the base of the liquid cooling plate 21 and the surface temperature measuring point; the equivalent solid phase wall thickness The extraction steps are as follows: First, the physical spatial layout specifications of the surface temperature measurement points are clarified: the temperature sensor 60 (using PT1000 high-precision thermal resistor) inside each battery cluster 20 is rigidly attached to the large surface (i.e., the geometric center surface) of the lithium battery cell shell, and the shell surface forms a direct solid-phase extrusion contact with the mechanically heat-conducting upper surface of the liquid cooling plate 21. Its spatial relative coordinates are rigidly written by the pre-configured sensor topology mapping list. The field control device 40 calls the pre-loaded three-dimensional digital model material attribute list of the battery cluster 20, constructs a virtual space vertical normal line along the surface temperature measurement points to the inner top surface of the internal flow channel of the liquid cooling plate 21, and extracts the structural parameters of each layer of solid material passing through the virtual normal line through software logic. The extracted thickness of each layer is automatically generated by weighted summation according to the ratio of its material thermal conductivity to the thermal conductivity of the main substrate. The thermal diffusivity of the aluminum substrate is obtained from the above formula.

[0076] The field control device 40 acquires the physical reference time. A pulse control timing sequence is then established, and the current-carrying duration is controlled to be 1.5 to 2.0 times the heat conduction response delay time. The formula for executing the closed interval constraint is as follows: ,

[0077] In the formula, The duration during which the corresponding liquid-cooled valve 33 in the preset pulse sequence is in the open flow state; The time duty cycle set for the alternating opening and closing actions of the system; The total operating cycle of the preset pulse sequence issued by the field control device 40. The initial reference value is anchored to the hydraulic lag time constant of the liquid cooling pipe network of the energy storage tank 10, and is set to 10 to 15 times this hydraulic lag time constant through hydraulic modeling or empirical table lookup; subsequently, the system fixes this value. Parameters, and based on the established thermal conduction response delay time. One-way reverse calculation and locking of the required duty cycle This avoids logical dead loops caused by multivariate coupling.

[0078] The hydraulic hysteresis time constant The specific derivation steps are as follows: The field control equipment 40 calls the three-dimensional pipeline BIM model of the energy storage compartment 10 and extracts the total length of the physical pipeline along the route from the outlet of the liquid supply pump 34 to the liquid cooling valve 33 of the farthest branch of the battery cluster 20 under test. The system reads the rated average flow velocity of the fluid in the pipeline under the currently set constant fluid pressure. ; By calculating the equation The baseline value of the hydraulic hysteresis time constant is obtained by dynamic calculation.

[0079] The empirical lookup table setting is pre-fixed in the non-volatile storage medium of the field control equipment 40, with the following correspondence table: when the extracted hydraulic equivalent length of the pipeline is in the range of 10m to 20m, a direct rigid setting is applied. The time limit is 15 seconds; when the length is between 20m and 30m, it is set to 25 seconds; when the length is greater than 30m, it is set to 40 seconds.

[0080] The corresponding throttling and settling time is set to the thermal relaxation time required to satisfy the convective dissipation of residual cold on the surface, and its analytical constraint formula is as follows: ,

[0081] In the formula, The settling time for the corresponding liquid-cooled valve 33 in the preset pulse sequence to be in the closed and throttled state; The time duty cycle set for the alternating opening and closing action; The total operating cycle of the preset pulse sequence.

[0082] Duration of the on state in the preset pulse sequence Rigidly limited to this response delay time The pressure is 1.5 to 2.0 times that of the target, ensuring that the cold energy injected in a single pulse can fully penetrate the solid-phase interface layer and generate a complete low-frequency temperature peak on the surface of the battery cluster 20. The field control device 40 reads the feedback value from the pressure sensor on the main pipeline 31 and adjusts the speed of the liquid supply pump 34 to maintain the fluid pressure in the main pipeline 31 within a set range. The lower limit of the set range is the critical head pressure required to overcome the flow resistance of the furthest liquid-cooled branch pipeline (engineering quantification set to 0.15MPa), and the upper limit of the range is 80% of the safe pressure limit of the polytetrafluoroethylene pipe or stainless steel corrugated pipe in the energy storage chamber 10 (engineering quantification set to 0.35MPa). The dead zone bandwidth of the pressure stabilization tolerance of the liquid supply pump speed PID adjustment is set to ±0.02MPa of the target center pressure to isolate high-frequency pump vibration interference. When outputting the opening and closing control signal of the liquid-cooled valve 33, the field control device 40 configures a smooth transition slope curve to control the rate of change of the valve core circumferential area of ​​the liquid-cooled valve 33. The field control device 40 adjusts the duty cycle based on the thermal conductivity parameters of the battery cluster 20. Set the duration of the on state in the preset pulse sequence. The thermal conduction response delay time is greater than 20 times the physical structure of the battery cluster under test. .

[0083] Step S20: Obtain the target temperature variation sequence of the battery cluster 20 under test corresponding to the specified communication address, and simultaneously obtain the reference temperature variation sequence of the unfluidized battery cluster 20 corresponding to the remaining liquid cooling valve 33; calculate the environmental temperature drift benchmark based on multiple sets of reference temperature variation sequences, and subtract the environmental temperature drift benchmark from the target temperature variation sequence to obtain the net heat transfer sequence that eliminates climate interference.

[0084] Based on the sampling frequency, the field control device 40 sends a data polling request to a designated communication address via the communication network 50. The acquisition node at the designated communication address acquires data from the temperature sensor 60 and sends it back to the field control device 40 along with the sampling timestamp. The field control device 40 arranges the continuously received temperature data in chronological order to generate a one-dimensional target temperature variation sequence. Within the same clock cycle, the field control device 40 sends an acquisition command to the node of the non-current-connected battery cluster 20 corresponding to the closed liquid-cooled valve 33, extracts the surface temperature values ​​of each non-current-connected battery cluster 20, and generates multiple sets of reference temperature variation sequences. The field control device 40 sends a clock synchronization message to keep the target temperature variation sequence aligned with the multiple sets of reference temperature variation sequences on the time domain scale.

[0085] like Figure 3 As shown, the process of calculating the environmental temperature drift benchmark based on multiple sets of reference temperature variation sequences includes: selecting multiple non-liquid battery clusters 20 distributed in different spatial orientations around the battery cluster 20 to be tested, and obtaining multiple sets of reference temperature variation sequences corresponding to different spatial orientations; removing extreme temperature data that show local abrupt changes or jumps from the multiple sets of reference temperature variation sequences; calculating the arithmetic mean of the remaining reference temperature variation sequences after removing extreme temperature data, and using the obtained arithmetic mean as the environmental temperature drift benchmark reflecting the global climate fluctuations inside the energy storage chamber 10.

[0086] The stripping boundary for extreme temperature data depends on the distribution pattern of multi-point spatial samples. The underlying algorithm sorts the reference temperature values ​​of all non-current liquid battery clusters 20 in ascending order at the same clock sampling node, directly truncating 10% to 15% of the data coordinate array at both ends of the sequence. This percentage truncation mechanism rigidly isolates isolated thermal deviations from extreme values ​​inside the energy storage compartment 10 caused by local non-uniform temperature equipment heat dissipation, microenvironmental airflow vortices, or bus communication errors. Based on the core interval sample group remaining after the removal, the arithmetic mean at that moment is calculated by summing, which smooths out high-frequency thermal disturbance spikes in the spatial physical dimension, making the final fitted environmental temperature drift benchmark accurately represent the low-frequency slow drift trajectory of the macro-climate background within the confined space.

[0087] The on-site control device 40 positions and selects a plurality of non-liquid-filled battery clusters 20 distributed in different orientations of the battery cluster 20 to be tested as reference samples according to the coordinate parameters, and extracts a plurality of corresponding reference temperature variation sequences. For each sampling time point, the on-site control device 40 performs numerical sorting on the plurality of obtained reference temperature values. According to the set data filtering parameters, the on-site control device 40 strips the extreme temperature data points located at both end intervals in the sorting result. For the remaining reference temperature values after eliminating the extreme temperature data, the on-site control device 40 performs summation calculation to obtain the arithmetic mean of the time point. The arithmetic means of continuous sampling moments form an environmental temperature drift reference sequence in the time domain.

[0088] Let the index of discrete time sampling points of the system be , extract the time surface temperature samples of all non-liquid-filled battery clusters 20, and construct an original sample set by ascending arrangement. The underlying algorithm dynamically establishes a rigid truncation ratio according to the total number N of valid communication samples of non-liquid-filled battery clusters obtained at the same clock node: when N≤10, the truncation ratio at both the head and tail ends is 10%; when 10<N≤20, the truncation ratio is 12%; when N>20, the truncation ratio is 15%. The system performs a rounding down operation on the calculated number of truncation nodes to establish the final truncation coordinate array. The truncated mean of the current clock node is obtained by using the remaining core sample points, and is assigned to the environmental temperature drift reference. The net heat exchange sequence is generated following the point-by-point subtraction logic of discrete sequences, and its algebraic equation is as follows: ,

[0089] in the formula, is the value of the net heat exchange sequence that eliminates climate interference extracted from the -th discrete time sampling point; is the original measured value of the surface temperature of the target temperature variation sequence at the same discrete time sampling point ; is the environmental temperature drift reference value generated after truncated mean operation at the -th discrete time sampling point.

[0090] Subsequently, the on-site control device 40 subtracts the value in the target temperature variation sequence point-by-point from the value corresponding to the time stamp in the environmental temperature drift reference sequence at the time node. The common mode component caused by environmental temperature fluctuation is offset through this difference operation, and the data output by calculation is stored as a net heat exchange sequence.

[0091] Step S30: Extract the fluctuation period characteristics of the temperature change rate in the net heat exchange sequence.

[0092] as shown in Figure 4As shown, the calculation steps for extracting the fluctuation periodicity feature of the temperature change rate in the net heat exchange sequence include: performing a difference operation on the net heat exchange sequence to obtain the temperature drop rate sequence; using a sliding window to smooth and filter the temperature drop rate sequence, identifying the minimum point where a negative abrupt change occurs as the cooling step point; calculating the time interval between adjacent cooling step points, and using the statistical average of multiple time intervals as the fluctuation periodicity feature.

[0093] The sliding window time span of the smoothing filter is matched to the overall low-flux thermal inertia of the system, set to cover 8% to 12% of the continuous sampling points covering the action cycle of the preset pulse sequence. An extreme value search and comparison for negative drops introduces a background noise dynamic tracking and evaluation mechanism. The control program pre-extracts the baseline standard deviation of the temperature drop rate during the silent, inactive phase of the pipeline. Only when the temperature drop rate of the central data node in the sliding window is not only lower than that of its adjacent points within the preceding and following search steps, but also when the absolute magnitude of its negative drop difference exceeds three times the threshold envelope of this baseline standard deviation, is the node confirmed as a true cooling step point induced by the heat exchange fluid. Before aggregating multiple time intervals to calculate the statistical average, the computational logic first removes distorted time difference samples that deviate from the absolute error of the sequence mean by more than 10%.

[0094] The field control device 40 performs first-order difference calculations on the discrete node data of the net heat exchange sequence. The field control device 40 extracts the value at the current sampling time, subtracts the value at the previous sampling time, and divides by the sampling time step to generate a temperature drop rate sequence. The field control device 40 configures a sliding window to process the temperature drop rate sequence, calculates the arithmetic mean of the data nodes within the sliding window, updates the value at the center point of the window, and completes the smoothing filtering of the temperature drop rate sequence.

[0095] The original temperature drop rate sequence was extracted based on a backward difference formula, which is as follows: ,

[0096] In the formula, For the first The original temperature drop rate was obtained from discrete time sampling points; For the current number Net heat transfer sequence values ​​at discrete time sampling points; This represents the net heat transfer sequence value corresponding to an adjacent discrete time sampling point on the time axis. This is the time step constant pre-calibrated by the system between two adjacent temperature samples. The time step constant... This refers to the fixed hardware sampling period and bus polling interval of the A / D conversion chip inside the Battery Management System (BMS), and its specific engineering values ​​are... The range of values ​​that can be retrieved is strictly limited to Between these parameters, the time-domain resolution of the first-order difference calculation of the temperature drop is ensured.

[0097] The time span of the filter in the sliding window is set to For an odd number of nodes, the smoothed equation for the rate of temperature drop is as follows: ,

[0098] In the formula, To be smoothed by sliding window at the 1st The temperature drop rate value generated by each sampling node; This represents the total number of consecutive odd-numbered nodes contained in the sliding window. This is the local offset index relative to the center node within the sliding window, and its value ranges from... Traversal to ; This represents the original temperature drop rate contained at the corresponding offset position.

[0099] The total number of odd consecutive nodes The forced conversion logic judgment conditions and exact corresponding rules are as follows: Field control device 40 first takes the center value of 10% based on the time domain coverage ratio, and calculates the original number of transient nodes. The calculation formula is: Subsequently, the original number of transient nodes was... Perform modulo 2 remainder logic judgment: If (If the original number of transient nodes is even), the control program will automatically execute a forced step transformation, resulting in a final total number of sliding window nodes. ;like (i.e., the original number of transient nodes is odd), then direct rigid assignment is performed. This decision rule ensures that the sliding window calculated at any sampling rate has a unique centrosymmetric node.

[0100] After smoothing filtering, the field control device 40 performs extreme value search and comparison. It determines whether the value of a data node is lower than the value of the adjacent sampling point within a preset window, and whether a sudden drop occurs in the negative value direction. The field control device 40 marks the data nodes that meet the conditions as cooling step points and reads the timestamps generated by each cooling step point.

[0101] Establish clock nodes To achieve the cooling step point, it is necessary to simultaneously penetrate the dual algebraic decision constraints. Among these, the spatial local minimum constraint verifies the candidate nodes before and after them. The following inequality holds true consistently within each sampling search step: ,

[0102] In the formula, The smoothed temperature drop rate corresponds to the candidate cooling step point. The clock node index where the candidate cooling step point is located; The search step size index extends bidirectionally to both the front and back sides of the candidate node; This is the boundary of the maximum one-sided search step size set for the system; this maximum one-sided search step size boundary The range of values ​​is determined by the time domain span of the aforementioned sliding window. The number of nodes is determined adaptively, and the specific corresponding relationship table or logical judgment condition is as follows: Values (Round down), and the system is rigidly limited. ; For the candidate node before and after Smoothed temperature drop rate at each offset position.

[0103] The background noise breakdown constraint determination requires the absolute magnitude of the negative drop to break through the preset envelope, and the determination inequality is as follows: ,

[0104] In the formula, This represents the absolute magnitude of the rate of temperature drop towards the negative direction after smoothing at the candidate cooling step point. To test the static temperature drop rate baseline standard deviation during the silent and heat-exchange fluid-free phase of the pipeline network, the time-domain sampling constraints for this silent and heat-exchange fluid-free phase are as follows: continuous sampling duration of no less than 15 minutes, and the data processing pool for this baseline standard deviation must contain at least 300 valid continuous discrete sampling node data to ensure that the background noise envelope statistical parameters have sufficient high-frequency fluctuation representativeness.

[0105] The field control device 40 calculates the time difference between two adjacent cooling step points, forming a series of time interval parameters. The field control device 40 performs statistical calculations on multiple sets of time interval parameters and uses their statistical average as the fluctuation period characteristic.

[0106] Step S40: When the overall temperature drop of the net heat exchange sequence reaches the preset heat exchange limit and the fluctuation period characteristics match the action period of the preset pulse sequence, it is determined that the specified communication address and the specific physical address are correctly connected; when the overall temperature drop does not reach the preset heat exchange limit and the fluctuation period characteristics do not match the action period of the preset pulse sequence, it is determined that a pipeline misconnection fault has occurred.

[0107] The field control device 40 extracts the first and last values ​​of the net heat exchange sequence within the test section and performs a difference calculation to obtain the overall temperature drop parameter. The field control device 40 reads the preset heat exchange limit configured in the system parameters and compares the overall temperature drop parameter with the preset heat exchange limit. The field control device 40 reads the action cycle parameter of the preset pulse sequence and compares the extracted fluctuation cycle feature with the action cycle of the preset pulse sequence. When the overall temperature drop value reaches or exceeds the preset heat exchange limit, and the value of the fluctuation cycle feature falls within a tolerance time window based on the action cycle of the preset pulse sequence, it is determined that the fluctuation cycle feature matches the action cycle of the preset pulse sequence. When both determination conditions are met, it is determined that the specified communication address and the specific physical address are correctly connected.

[0108] Conversely, if the overall temperature drop does not simultaneously reach the preset heat transfer limit and the fluctuation period characteristic does not match the action period of the preset pulse sequence, a pipeline misconnection fault is determined to have occurred. This logical determination process includes: when the overall temperature drop reaches the preset heat transfer limit, but no fluctuation period characteristic matching the action period of the preset pulse sequence is extracted, it is determined that intermittent heat transfer fluid was incorrectly injected into the adjacent battery cluster 20, and it is determined that the specified communication address and the specific physical address are not actually connected.

[0109] The threshold for determining the preset heat exchange limit is calculated by the theoretical limit heat exchange model of the test pipeline. Logically, the absolute difference between the inlet water temperature of the heat exchange fluid and the initial surface temperature of the node under test is extracted and multiplied by the empirical attenuation factor jointly derived from the pipeline design water supply flow rate and the heat transfer coefficient of the liquid cooling plate 21 to generate the expected extreme value of the steady-state temperature drop of the pure pipeline.

[0110] The physical modeling of the expected extreme value of steady-state temperature drop in the pure pipeline follows a one-dimensional convective heat transfer thermal balance criterion. The empirical attenuation factor is derived based on the heat transfer unit number model, and its solution equation is as follows: ,

[0111] In the formula, This is an empirical attenuation factor derived jointly from pipeline fluid mechanics and heat transfer; The comprehensive convective heat transfer coefficient between the bottom flow channel wall of the liquid cooling plate 21 of the battery cluster 20 and the temperature measuring point on the surface of the battery cell; The physical projected area parameters of the single cluster liquid cooling plate 21 that can participate in effective heat exchange; The mass flow rate of the heat exchange fluid that is stably output from the liquid supply pump 34 to the main pipeline 31; The isobaric specific heat capacity of the heat exchange fluid is pre-programmed into the system. The physical projected area parameters of the individual liquid-cooled plate cluster capable of participating in effective heat exchange. The acquisition method is as follows: the field control device 40 retrieves the two-dimensional unfolded area map data of the liquid cooling plate 21 from the factory configuration library of the battery management system or the cloud-based BIM three-dimensional design model via the communication network 50 and automatically assigns the value; the comprehensive convective heat transfer coefficient Based on the Dittus-Boelter equation extraction, the derived formula is as follows: ,in The internal flow channel hydraulic diameter is retrieved from the aforementioned configuration library. The thermal conductivity of the heat transfer fluid is denoted by the Nusselt number. Reynolds number With Prandtl All parameters were obtained through dynamic calculations based on the basic hydraulic parameters of the pipeline network under the current constant fluid pressure.

[0112] The basic hydraulic parameter table is configured as a two-dimensional array mapping matrix in a non-volatile storage medium, with its primary key being the initial inlet temperature of the heat exchange fluid measured by temperature sensor 60. The system's internal mapping relationship rule table includes: the system establishes a step table with a step size of 5℃, when determining... Extracting the kinematic viscosity of the fluid when it is in the range of 15℃ to 20℃ Trump's number ;when Extraction is performed when the temperature is between 20℃ and 25℃. , ;when Extraction is performed when the temperature is between 25℃ and 30℃. , .

[0113] The dynamic calculation obtains the Reynolds number. The underlying algebraic determination equation is: ,

[0114] in, The real-time flow velocity in the pipe is collected by the flow meter on the main pipeline 31. To obtain the hydraulic diameter of the internal flow channel from the table, This is the fluid kinematic viscosity extracted based on a table lookup using the temperature primary key.

[0115] The heat transfer unit number model equations transform the longitudinal penetration resistance of cold energy and the lateral thermal leakage into theoretical constraint multipliers. Based on this, the analytical definition of the expected extreme value of the steady-state temperature drop in a clean pipeline is established as follows: ,

[0116] In the formula, This represents the upper limit of the expected extreme value of the steady-state temperature drop of the clean pipeline that can be reached at the corresponding test node. The empirical attenuation factor is obtained; The absolute value of the initial water temperature at the inlet of the heat exchange fluid, transmitted back by temperature sensor 60. This is a snapshot of the surface temperature of the node under test at the moment the test program starts.

[0117] To accommodate the actual solid-phase contact thermal resistance and microenvironmental thermal radiation leakage on-site, the preset heat transfer limit was derating and locked at this expected extreme value. 40%–50% constitutes a rigid physical threshold for intercepting pseudo-cooling induced by passive heat diffusion. A tolerance time window matching the fluctuation period characteristics maps the fluid dynamics transport hysteresis along the flow path, with the time window boundary adaptively widening around a preset action cycle as the central anchor point. The system extracts the fluctuation standard deviation of the ambient temperature drift benchmark during the quiescent period. Set logical judgment conditions: when the judgment is made When the system determines that it is currently in a thermally stable, low-noise environment, the time window is rigidly widened by 5% at both ends; when the determination... When the system determines that strong spatial convection interference exists, the time window is rigidly widened by 8% at both ends, thereby generating unique upper and lower bound thresholds for the tolerance time window. Fluctuation periodic characteristic parameters fall within this compensation range, thus confirming a tight physical coupling between the node temperature rhythm and the active fluid control command from the underlying temporal causal chain.

[0118] When heat exchange fluid is mistakenly injected into a neighboring battery cluster 20, the cooling energy is transferred to the battery cluster 20 under test via solid-phase conduction through structures such as the metal base and air convection. During this process, the solid-phase structural components exhibit damping filtering characteristics, weakening the high-frequency periodic characteristics of the intermittent heat exchange fluid in the heat conduction path. The temperature response curve reaching the battery cluster 20 under test tends to smoothly decay. The field control device 40 cannot extract a matching cooling step point and fluctuation periodic characteristics from this curve data. Based on the lack of periodic characteristics, the field control device 40 determines that the current temperature drop is induced by ambient heat transfer, thereby determining that the heat exchange fluid was not pumped into the battery cluster 20 under test, determining that the specified communication address and the specific physical address have not established a physical connection, and confirming that the pipeline is incorrectly connected.

[0119] Step S50: After determining that a pipeline misconnection fault has occurred, subtract the ambient temperature drift baseline from the reference temperature variation sequence of all non-liquid battery clusters 20 to obtain the net heat exchange sequence corresponding to each non-liquid battery cluster 20; traverse the net heat exchange sequence corresponding to each non-liquid battery cluster 20 in the energy storage compartment 10 to find the target battery cluster 20, and perform topological mapping association between the specific physical address and the real communication address in the battery management system.

[0120] like Figure 5As shown, the execution steps after determining that a pipeline misconnection fault has occurred include: subtracting the ambient temperature drift benchmark from the reference temperature variation sequences of all non-fluid-connected battery clusters 20 to obtain the net heat transfer sequences corresponding to each of the non-fluid-connected battery clusters 20; traversing the net heat transfer sequences corresponding to each of the non-fluid-connected battery clusters 20 in the energy storage chamber 10; finding the target battery cluster 20 among all non-fluid-connected battery clusters 20 whose overall temperature drop reaches the preset heat transfer limit and exhibits a specific fluctuation period that matches the action period of the preset pulse sequence; retrieving the real communication address bound to the target battery cluster 20; and performing a topological mapping association between the specific physical address and the real communication address in the battery management system. The field control device 40 traverses the net heat transfer sequences of all non-fluid-connected battery clusters 20 in the energy storage chamber 10 recorded in memory. Differential operation, smoothing filtering, and extreme value search are performed sequentially on the above sequences to find the target battery cluster 20 whose overall temperature drop reaches the preset heat transfer limit and whose fluctuation period characteristics match the action period of the preset pulse sequence. Data characteristics indicate that the target battery cluster 20 is the actual inflow node of the current heat transfer fluid. The field control device 40 sends a query frame to the target battery cluster 20 through the communication network 50 to obtain its real communication address. The underlying mapping logic correction action is performed based on the two-dimensional addressing routing table established in the non-volatile storage medium. This routing table uses the hardware port number of the hard-wired drive pin of the liquid-cooled valve 33 of each branch pipeline 32 as the primary key index, pointing unidirectionally to the payload field storing the communication address of the corresponding battery cluster 20 media access control node. After confirming the pipeline misconnection fault, the control kernel suspends the regular data polling process corresponding to the original mismatched branch, and uses the real communication address of the target battery cluster 20 intercepted by the underlying protocol stack of the communication network 50 to forcibly rewrite and overwrite the memory payload byte corresponding to the mismatched item, and then triggers the data link layer to send a forwarding table hot reload command. Subsequently, the downlink control messages for thermal management sent by the field control device 40 to the target battery cluster 20 strictly rely on the reloaded payload field data link for routing and delivery, completely bypassing the mismatched connection interface of the front-end liquid-cooled distribution pipeline 30 from the pure software code layer.

[0121] Step S60: After determining that the specified communication address and the specific physical address are correctly connected, control the liquid cooling valve 33 corresponding to the specific physical address to switch to the normally open state, monitor the final steady-state heat exchange drop and compare it with the unobstructed heat exchange standard range.

[0122] like Figure 6As shown, after determining that the specified communication address and the specific physical address are correctly connected, the method also includes: controlling the liquid cooling valve 33 corresponding to the specific physical address to switch to the normally open state and continuously pumping heat exchange fluid; real-time monitoring of the final steady-state heat exchange drop when the battery cluster 20 under test reaches the dynamic thermal equilibrium state; comparing the final steady-state heat exchange drop with the preset unobstructed heat exchange standard range; when the final steady-state heat exchange drop deviates from the unobstructed heat exchange standard range, determining that there are microscopic bubbles or throttling foreign objects blocking the corresponding pipeline, and outputting a pipeline unblocking prompt.

[0123] The underlying condition for establishing the dynamic thermal equilibrium state is constrained by the time-domain convergence slope of the surface temperature. When the first derivative of the surface temperature over time for ten consecutive sampling cycles falls within ±1 of the lowest effective quantization level (LSB) dead zone corresponding to the 60 physical resolution of the temperature sensor, it indicates that the heat power absorbed by the internal fluid convection and the heat leakage power from the external space have reached an equal and offsetting steady state. The unobstructed heat transfer standard range used to diagnose microscopic defects is established based on the hydraulic flow resistance benchmark under no-reduction-diameter conditions. The system uses analytical equations to deduce the expected limit heat transfer drop that a fault-free ideal pipeline will reach.

[0124] First, estimate the baseline mass flow rate under the same pressure drop conditions. The algebraic derivation formula is as follows: ,

[0125] In the formula, To read the actual pressure drop obtained by the pipeline differential pressure sensor, The system's preset rated flow capacity coefficient for branch valves. The heat exchange fluid density. The rated flow capacity coefficient of the branch valve in the 100% fully open state. The specific value is The value range is set according to the pipeline design. When the electronic proportional control valve is in a stepless opening adjustment range of 0~100%, the actual flow capacity coefficient is... The extraction mapping follows the inherent equal percentage characteristic curve of the valve, and its extraction equation is as follows: ,in The valve's adjustable ratio is set to 30. This represents the percentage of the valve's relative opening (values ​​range from 0 to 1).

[0126] Subsequently, the extreme heat transfer difference was simulated. The analytical equation is: ,

[0127] In the formula, The background heat leakage equivalent convective power loss of the battery cluster 20 under test in the power-off and static state (the calibration constant of 150W is directly written into the non-volatile storage medium in this embodiment). This refers to the isobaric specific heat capacity of the heat exchange fluid.

[0128] The lower limit of the unobstructed heat transfer standard range is strictly defined as 80% of the limiting heat transfer drop, and the upper limit of the unobstructed heat transfer standard range is rigidly defined as 120% of the limiting heat transfer drop, thereby mathematically constructing an unobstructed standard decision domain with a clearly defined closed interval boundary. If the measured final steady-state heat transfer drop exceeds this 120% upper limit, it is determined that there is a local hydraulic imbalance or excessive flow fault in the corresponding branch pipeline. If the measured final steady-state heat transfer drop falls below this physical lower limit, the potential for cavitation or impurity deposition in the internal flow channel cross-section can be diagnosed by reverse investigation based on the nonlinear sudden increase law of pipeline flow resistance.

[0129] The field control device 40 sends a continuous drive signal to the liquid-cooled valve 33 corresponding to a specific physical address, switching it and keeping it in a normally open flow state, while the liquid supply pump 34 outputs heat exchange fluid at its rated flow rate. The field control device 40 calculates the surface temperature change rate of the received battery cluster 20 under test. When the temperature change rate values ​​for multiple consecutive sampling periods fall within the set tolerance dead zone, it is determined that the internal and external heat exchange process has entered a dynamic thermal equilibrium state. The field control device 40 extracts the temperature convergence value under this state and performs a difference calculation with the surface temperature value at the initial moment of the test, recording its absolute value as the final steady-state heat exchange drop. The field control device 40 reads the set unobstructed heat exchange standard range in the non-volatile storage medium and compares the final steady-state heat exchange drop with this unobstructed heat exchange standard range. If the final steady-state heat exchange drop is lower than the lower limit of the unobstructed heat exchange standard range, it reflects the actual heat exchange attenuation inside the branch pipe 32, indicating the presence of microscopic bubbles or throttling foreign objects blocking the heat exchange inside the pipe. The on-site control device 40 generates and outputs pipeline unblocking prompts containing physical address identifiers.

[0130] Step S70: After verifying the pipeline corresponding to the current specific physical address, close the open liquid cooling valve 33 and wait for the temperature to drop, then replace the verification node.

[0131] After verifying the pipeline corresponding to the current specific physical address, the following operations are performed: closing the currently open liquid cooling valve 33; allowing the surface temperature of the battery cluster 20 under test, affected by the heat exchange fluid, to gradually rise until the surface temperature of the battery cluster 20 under test returns to the same temperature range as the surrounding non-liquid-circuited battery clusters 20; changing the subsequent physical address and communication address to be verified according to the pre-arranged traversal verification list, and repeating the verification steps until all branch pipelines 32 in the energy storage compartment 10 have been verified. The field control device 40 cancels the drive signal, controls the current liquid cooling valve 33 to close, and cuts off the fluid input. The field control device 40 maintains temperature sampling of the battery cluster 20 under test and the surrounding non-liquid-circuited battery clusters 20, waiting for the affected battery cluster 20 under test to have its surface temperature drop during heat exchange with the environment. When the difference between the surface temperature of the battery cluster 20 under test and the average temperature of the surrounding non-liquid-circuited battery clusters 20 remains stable within the set tolerance range, the thermal environment is determined to be reset. The set tolerance range is specifically quantified as follows: Furthermore, the logical condition for sustained stability is that the temperature difference has not fallen outside the tolerance range boundary for at least 5 consecutive sampling cycles. The field control device 40 extracts the next physical address and communication address to be verified from the traversal checklist, initializes system parameters, and restarts the pulse injection and data verification steps until all configuration nodes of the liquid cooling distribution pipeline 30 in the energy storage compartment 10 have been verified.

[0132] Based on the same methodological logic, this invention also discloses an integrated safety construction system for lithium battery energy storage power stations. The system includes: an energy storage compartment 10, which houses multiple battery clusters 20 and liquid-cooled distribution pipelines 30 connected to each battery cluster 20; the energy storage compartment 10 has a communication network 50 connecting each battery cluster 20; and a field control device 40, which establishes communication and control connections with the communication network 50 and each liquid-cooled valve 33 on the liquid-cooled distribution pipelines 30. The field control device 40 includes a processor and a non-volatile storage medium. When the processor executes a computer program stored on the non-volatile storage medium, it is configured to perform the steps described in any of the above method embodiments.

[0133] The energy storage compartment 10 contains multiple battery clusters 20, each equipped with a liquid cooling plate 21. Liquid cooling distribution pipes 30 form a fluid transmission network, with liquid cooling valves 33 connected in series at the branch pipe nodes 32. The communication network 50 within the energy storage compartment 10 connects to the temperature sensor 60 acquisition nodes distributed across each battery cluster 20. The field control device 40 is equipped with a communication interface and output terminals. The output terminals of the field control device 40 are connected to the control pins of the liquid cooling valves 33 via lines, and the communication interface is connected to the communication network 50 of the energy storage compartment 10 for message transmission and reception. A computer program containing control and computational logic is stored in a non-volatile storage medium. When the processor executes the computer program, it outputs a preset pulse sequence level to drive the liquid-cooled valve 33 for intermittent fluid control; it schedules the communication network port 50 to acquire the temperature data sequence; it executes the algorithm to calculate the ambient temperature drift and complete the differential stripping of the common mode temperature; it uses the operation logic to lock the data fluctuation cycle characteristics; it performs the topology mapping update of the communication routing address based on feature comparison, and performs the pipeline steady-state flow characteristic verification and system physical environment reset isolation and other operations.

[0134] The various embodiments in this specification are described in a progressive or parallel manner. Each embodiment focuses on its differences from other embodiments, and the same or similar parts between the embodiments can be referred to mutually. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and relevant parts can be referred to the method section.

[0135] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for the integrated safe construction of a lithium battery energy storage power station, characterized in that, include: After completing the placement of the battery clusters and cable connections inside the energy storage compartment, keep the high-voltage main circuit in a de-energized state. Based on a preset pulse sequence, the liquid cooling valves corresponding to specific physical addresses are controlled to open and close alternately, so as to pump intermittent heat exchange fluid into the corresponding branch and keep the remaining liquid cooling valves in the closed state. Obtain the target temperature variation sequence of the battery cluster under test corresponding to the specified communication address, and simultaneously obtain the reference temperature variation sequence of the battery cluster without liquid flow corresponding to the remaining liquid cooling valve; The environmental temperature drift baseline is calculated based on multiple sets of the reference temperature variation sequences, and the target temperature variation sequence is subtracted from the environmental temperature drift baseline to obtain the net heat transfer sequence that eliminates climate interference. Extract the fluctuation periodicity characteristics of the temperature change rate in the net heat exchange sequence; When the overall temperature drop of the net heat exchange sequence reaches the preset heat exchange limit, and the fluctuation period characteristic matches the action period of the preset pulse sequence, it is determined that the designated communication address and the specific physical address are correctly connected. If the overall temperature drop does not reach the preset heat exchange limit and the fluctuation period characteristic does not match the action period of the preset pulse sequence, a pipeline misconnection fault is determined to have occurred.

2. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The calculation of the environmental temperature drift benchmark based on multiple sets of the aforementioned reference temperature variation sequences includes: Multiple non-liquid-fluid ... Extreme temperature data exhibiting local abrupt changes or jumps are removed from the multiple sets of reference temperature variation sequences; The arithmetic mean of the remaining reference temperature variation sequence after removing the extreme temperature data is calculated, and the obtained arithmetic mean is used as the environmental temperature drift benchmark reflecting the global climate fluctuation inside the energy storage chamber.

3. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The pumping of intermittent heat exchange fluid into the corresponding branch includes: Extracting liquid from external natural water sources or ambient temperature water storage tanks; When the absolute value of the difference between the current temperature of the extracted liquid and the initial surface temperature of the battery cluster under test is greater than a preset identification difference parameter, the extracted liquid is pumped into the main pipeline as the heat exchange fluid and flows to the corresponding branch pipeline, while keeping the refrigeration unit in a closed state.

4. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, After determining that the specified communication address and the specific physical address are correctly connected, the method further includes: Control the liquid cooling valve corresponding to the specific physical address to switch to the normally open state and continuously pump the heat exchange fluid; Monitor the final steady-state heat transfer drop when the battery cluster under test reaches a dynamic thermal equilibrium state; Compare the final steady-state heat transfer drop with the pre-set unobstructed heat transfer standard range; When the final steady-state heat exchange drop deviates from the standard range for unobstructed heat exchange, it is determined that there are microscopic bubbles or throttling foreign objects blocking the corresponding pipeline, and a pipeline unblocking prompt is output.

5. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, After verifying the specific physical address, the process also includes: Close the currently open liquid cooling valve; The surface temperature of the battery cluster under test, which is affected by the heat exchange fluid, is allowed to gradually rise until the surface temperature of the battery cluster under test returns to the same temperature range as the surrounding unfluid-filled battery clusters. Based on the pre-arranged traversal and verification list, the physical address and communication address to be verified are changed, and the verification steps are repeated until all branch pipelines in the energy storage compartment have been verified.

6. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The method of controlling the liquid-cooled valve corresponding to a specific physical address to open and close alternately according to a preset pulse sequence includes: Control the liquid supply pump to output a constant fluid pressure to the main pipeline; The liquid-cooled valves are opened and closed alternately according to a smooth transition slope curve. The duty cycle of the alternating opening and closing action is adjusted so that the duration of the open state is greater than the thermal conduction response delay time of the physical structure of the battery cluster under test.

7. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The extraction of the fluctuation periodicity characteristics of the temperature change rate in the net heat exchange sequence includes: Perform a differential operation on the net heat transfer sequence to obtain the temperature drop rate sequence; The temperature drop rate sequence is smoothed by using a sliding window to identify the minimum point where a negative abrupt change occurs as the temperature drop step point. Calculate the time interval between adjacent cooling step points, and use the statistical average of multiple sets of such time intervals as the fluctuation period characteristic.

8. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The determination of a pipeline misconnection fault when the overall temperature drop does not reach the preset heat transfer limit and the fluctuation period characteristic does not match the action period of the preset pulse sequence includes: When the overall temperature drop reaches the preset heat exchange limit, but no fluctuation period feature matching the action period of the preset pulse sequence is extracted, it is determined that the intermittent heat exchange fluid was mistakenly injected into the adjacent battery cluster, and it is determined that the specified communication address and the specific physical address are not actually connected.

9. The integrated safe construction method for lithium battery energy storage power stations according to claim 1, characterized in that, The determination of a pipeline misconnection fault also includes: Subtract the ambient temperature drift baseline from the reference temperature variation sequence of each of the non-liquid-fluid ... Traverse the net heat exchange sequence corresponding to each of the non-liquid-filled battery clusters in the energy storage chamber; From all the unfluidized battery clusters, find the target battery cluster whose overall temperature drop reaches the preset heat transfer limit and exhibits a specific fluctuation period that matches the action period of the preset pulse sequence; Retrieve the actual communication address bound to the target battery cluster; In the battery management system, the specific physical address is associated with the actual communication address through a topology mapping.

10. An integrated safety construction system for lithium battery energy storage power stations, characterized in that, include: The energy storage compartment (10) is equipped with multiple battery clusters (20) and liquid-cooled distribution pipelines (30) connected to each battery cluster (20). The energy storage compartment (10) has a communication network (50) connecting each battery cluster (20). The field control device (40) establishes communication and control connections with the communication network (50) and each liquid-cooled valve (33) on the liquid-cooled distribution pipeline (30); The field control device (40) includes a processor and a non-volatile storage medium. When the processor executes a computer program stored on the non-volatile storage medium, it is configured to perform the steps of the integrated safety construction method for lithium battery energy storage power stations as described in any one of claims 1 to 9.

Images