Method and system for inhibiting film boiling of submerged heat dissipation film of energy storage power station based on flash evaporation effect

Abstract

The present application relates to the field of power battery and energy storage battery thermal management technology, in particular to a method and system for inhibiting film boiling of immersion heat dissipation film of energy storage power station based on flash evaporation effect. The method comprises: collecting the pressure of steam cavity and the temperature of battery cluster and transmitting them to the control center; judging whether the temperature is greater than the preset temperature threshold and the pressure fluctuation is less than the preset pressure threshold; when the pressure of the box body rapidly decreases, the gas film is destroyed by violent boiling, and the film boiling solution is obtained; judging the film boiling solution; when the temperature rise rate is lower than the preset temperature rise rate value and the local pressure fluctuation is greater than or equal to the preset local pressure fluctuation threshold; if the judgment is yes, the pressure is restored and the medium is recovered; if the judgment is no, the flash evaporation is continued, and when the preset flash evaporation value is reached, the film boiling solution is re-judged. The present application provides efficient, stable and economic heat dissipation guarantee for large-scale energy storage power station, and meets the harsh demands of high-power charging and discharging scene.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power battery and energy storage battery thermal management, in particular to an energy storage power station immersion heat dissipation film boiling suppression method and system based on flash evaporation effect. BACKGROUND

[0002] With the rapid development of new energy industry, the capacity of energy storage power station is continuously expanding, and the heat flux density of battery pack increases significantly in high-power charging and discharging cycles. Two-phase immersion liquid cooling technology has become a key solution to solve the problem of large-scale energy storage heat dissipation due to its high-efficiency phase change heat dissipation capacity, and has shown significant advantages in improving heat dissipation efficiency. However, there are still obvious limitations in practical application: film boiling risk is prominent: when the heat flux density of the battery surface exceeds the critical value, the cooling liquid on the battery surface vaporizes rapidly, forming a continuous vapor film or gas film. Through theoretical research, it is not difficult to find that the evaporation rate of the liquid film is lower than the vapor detachment rate at this time, which leads to the continuous thickening of the gas film, and the random distribution of the micro-layer thickness in the gas film accelerates the dry spot expansion; eventually leading to a sharp increase in thermal resistance, a cliff-like drop in heat dissipation efficiency, and a runaway rise in battery temperature, which poses a safety hazard of thermal runaway.

[0003] Traditional control response lag: the existing system relies on temperature threshold control, and it takes 3-6 seconds from detection of over-temperature to start intervention, and it is difficult to quickly dissolve the gas film by using the instantaneous energy release characteristics of flash evaporation; passive solution costs high: the industry tries to destroy the gas film by upgrading the pump body or modifying the surface microstructure, but it needs to change the original flow field of the system or the battery structure, increasing the manufacturing cost and compatibility risk. Therefore, there is an urgent need for an active suppression scheme that utilizes flash evaporation effect to quickly destroy the gas film, has low modification cost and is compatible with existing architecture, to ensure the safety of heat dissipation in large-scale energy storage scenarios.

[0004] Prior art one, Chinese patent, application number: 202510957868.9 discloses an immersion energy storage system energy efficiency improvement method based on liquid cooling technology, relating to the technical field of energy storage system thermal management, which comprises: collecting cooling parameters and heat dissipation efficiency information of the immersion energy storage system in real time, and performing adaptive verification; if the verification result is not adaptive, read the cooling liquid attribute information and collect the cooling liquid circulation information, combine the two to analyze the quality decline of the cooling liquid, and generate a quality decline feature; based on the quality decline feature, make a decision on cleaning or replacing the cooling liquid. Although it solves the technical problem that the performance of the cooling liquid of the existing immersion energy storage system is degraded due to long-term operation, affecting the heat exchange efficiency and system energy efficiency, and achieves the technical effect of improving the heat dissipation efficiency and overall energy efficiency of the system by monitoring the quality change of the cooling liquid in real time and intelligently deciding to clean or replace the cooling liquid; however, the active cooling system consumes a lot of energy, resulting in a high energy consumption ratio.

[0005] The prior art two, Chinese patent, application number: 202510691323.8 provides a kind of energy storage power station lithium ion battery cabinet, including the cabinet of containing cavity, energy storage lithium ion battery pack and cooling circulation system;The water circulation system includes: cooling medium import located in the lower part of the cabinet, cooling medium export located in the upper part of the cabinet, and cooler connected with the cooling medium import and cooling medium export respectively and located in the outside of the cabinet;The cooling medium import and cooling medium export are connected with the containing cavity of cabinet, and the energy storage lithium ion battery pack is immersed in cooling medium.Although the battery cabinet, directly with water as the main cooling medium for the lithium ion battery in cabinet cooling, battery is all immersed in cooling medium, its cooling efficiency is high, battery safety is good, and battery internal thermal runaway is avoidable battery fire accident;However, cold plate type liquid cooling only starts and stops circulating pump according to the temperature of battery cell, and cannot match dynamic heat load change in real time.

[0006] The prior art three, Chinese patent, application number: 202510679258.7 discloses an energy storage battery module management device for energy storage power station, relating to the technical field of energy storage power station, comprising a box body, a box door is installed on the front of the box body, an intelligent controller and an environment sensor are installed on the front of the box door and electrically connected through wires, and two groups of sliding rails are installed on the inner wall of the box body.It can fuse and analyze external environmental parameters and real-time temperature data of each region in the box body through the intelligent controller, and when the temperature of the energy storage battery pack exceeds the threshold value, the speed and power of the cooling fan in the heat dissipation assembly are accurately controlled according to the temperature difference of each region to realize targeted heat dissipation.When the external environment is suitable, it is automatically switched to natural ventilation as the main one, and only low-power cooling fans are used for assistance.Although it solves the problems of heat dissipation blind area and resource waste caused by traditional single-point temperature measurement, realizes accurate temperature control, avoids battery performance degradation and safety risk, greatly reduces energy consumption, reduces operating cost and prolongs equipment service life;However, in high-power density scenarios, when the surface heat flux of battery cell exceeds the critical heat flux, the cooling liquid will form a stable vapor film covering the heating surface, resulting in a sharp drop in heat dissipation efficiency.

[0007] The prior art one, the prior art two and the prior art three have the problems of passivity and inefficiency of film boiling inhibition mechanism, lack of multi-parameter collaborative control and high energy consumption ratio.Therefore, the present application provides an energy storage power station immersion heat dissipation film boiling inhibition method based on flash evaporation effect. SUMMARY

[0008] To achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows:

[0009] In one aspect of the present application, an energy storage power station immersion heat dissipation film boiling inhibition method based on flash evaporation effect is provided, comprising the following steps:

[0010] The original temperature signal and the original pressure signal collected by the dual-parameter sensing array in real time, the original temperature signal is processed by 5-order Butterworth filter to obtain the temperature rise rate signal, and the original pressure signal is processed by window algorithm to obtain the pressure fluctuation value; when the temperature rise rate signal and the pressure fluctuation value meet the parameter conditions at the same time, it is determined that the gas film forming state is formed; wherein the parameter condition of the temperature rise rate signal corresponds to the battery surface temperature rise rate, and the parameter condition of the pressure fluctuation value corresponds to the steam cavity pressure fluctuation;

[0011] The heat flux density of the battery surface when the gas film is formed is calculated by the one-dimensional heat conduction equation, and the target pressure reduction amplitude, the pumping speed and the pressure relief duration are dynamically calculated according to the mapping relationship between the heat flux density and the target pressure reduction amplitude; and a customized pressure relief control strategy is generated for the current;

[0012] In an optional implementation, the conditions are that the battery surface temperature rise rate is greater than 6℃ / s, the steam cavity pressure fluctuation is less than ±0.4kPa, and the duration of the battery surface temperature rise rate and the steam cavity pressure fluctuation is greater than or equal to 5ms.

[0013] In an optional implementation, the process of generating the customized pressure relief control strategy for the current includes the following steps:

[0014] The rate value of the temperature instantaneous jump rate signal is obtained, the rate value is substituted into the inverse calculation program based on the transient heat penetration principle and the one-dimensional heat conduction equation, the instantaneous heat flux intensity value, i.e. the heat flux density, passing through the battery surface per unit time and per unit area and transmitted to the medium is inversely calculated by the heat barrier penetration operation;

[0015] The obtained instantaneous heat flux intensity value is matched with a preset non-proportional intervention response relationship, and a target pressure correction value required is synthesized by taking a fixed basic intervention amount as a starting point and linearly superimposing an additional incremental intervention amplitude according to the amplitude of the instantaneous heat flux intensity value exceeding the starting point;

[0016] The target pressure correction value enters two parallel execution parameter solvers; the first solver maps the target pressure correction value to a medium pumping rate instruction according to a preset relationship between the target pressure correction value and the fluid volume change rate; and the second solver maps the target pressure correction value to a pressure intervention time window according to the dynamics of the target pressure correction value and the system time response.

[0017] The target pressure correction value, the medium pumping rate instruction and the pressure intervention time window are converged and packaged into a customized pressure relief control strategy.

[0018] In an optional implementation, the process of the target pressure correction value entering the two parallel execution parameter solvers includes the following steps:

[0019] The target pressure correction value is input to the first solver to analyze the system volume response characteristic, and the system volume response characteristic analysis is embedded in the quantitative relationship between the system volume and the pressure change. The target pressure correction value to be achieved is analyzed as the medium fluid volume to be removed from the closed cavity per unit time. The result of the analysis calculation is defined as the specific medium removal rate command for driving the air pump group.

[0020] The target pressure correction value is input to the second solver to analyze the system volume response characteristic, and the system volume response characteristic analysis is embedded in the quantitative relationship between the system volume and the pressure change. The target pressure correction value to be achieved is analyzed as the medium fluid volume to be removed from the closed cavity per unit time. The result of the analysis calculation is defined as the specific medium removal rate command for driving the air pump group.

[0021] In an optional embodiment, the process of analyzing the medium fluid volume to be removed from the closed cavity per unit time includes the following steps:

[0022] The target pressure correction value is operated with the preset pressure-volume conversion coefficient to solve the total medium volume change to be removed from the cavity to achieve the target pressure correction;

[0023] The total medium volume change is divided by the minimum stable time base representing the shortest time span required for the system pressure to achieve a decline, to obtain a constant volume flow rate requirement;

[0024] The specific numerical value of the obtained volume flow rate requirement is converted into a basic instruction, and the basic instruction is packaged into a control signal message and real-time issued to the driver of the air pump group through the control bus. After receiving and analyzing the message, the driver adjusts the operating power or speed of the pump group motor.

[0025] In an optional embodiment, the process of converting into a basic instruction includes the following steps:

[0026] After receiving the numerical value of the volume flow rate requirement, a instruction normalization process is started; the numerical value is converted into a device-independent abstract control quantity;

[0027] The device-independent abstract control quantity input value drives the interface adaptation layer, and according to the pre-established pump group characteristic mapping table, the abstract control quantity is converted into a device-specific driving instruction; the pump group characteristic mapping table defines the corresponding relationship between the abstract flow value and the specific driving parameter;

[0028] The device-specific driving instruction is packaged into a real-time control signal message with a standard format and target address and verification information; it is sent to the designated air pump group driver through the system internal control bus; after receiving the message, the driver analyzes the device-specific driving instruction therein and adjusts the operating power or speed of the pump group motor.

[0029] In an alternative embodiment, the process of seeking the optimal and shortest critical stable time length required to achieve the target pressure correction value comprises the following steps:

[0030] A pre-set system pressure relaxation time constant is called to describe the inherent inertia of the system pressure to return to a new equilibrium state after being subjected to a unit step disturbance;

[0031] The absolute value of the target pressure correction value is combined with the system pressure relaxation time constant to find a shortest time solution that meets the system stability requirement, and a minimum critical stable time length is solved to ensure that the over-response process damping ratio of the system is greater than the critical value; the minimum critical stable time length is defined as the pressure intervention time window.

[0032] In an alternative embodiment, the process of triggering a modified customized pressure relief control strategy containing secondary flashing until the system is stable comprises the following steps:

[0033] Start the intervention effectiveness evaluation mechanism, compare the current real-time evaluation data with the expected pressure field rebalancing state, and when it is confirmed that the system fails to reach the expected stable target within the specified time, a primary intervention failure identifier is generated;

[0034] Based on the primary intervention failure identifier, activate a gradual pressure correction, introduce a fixed pressure step increment based on the target pressure correction value of the initial intervention; the new pressure reduction target value is updated to the sum of the original target value and the secondary increment;

[0035] The updated pressure reduction target value is re-calculated with the system volume response characteristic analysis and system dynamics response estimation, to derive a new set of execution parameters, including the enhanced medium displacement rate instruction and the extended pressure intervention time window; the updated pressure reduction target value, the newly calculated execution parameters, and the current cycle count value are collectively encapsulated into a new composite intervention instruction set, which is the modified customized pressure relief control strategy.

[0036] In an alternative embodiment, it also includes driving the pump group, cooling coil, valve and other execution units according to the customized pressure relief control strategy to trigger and complete the target pressure reduction, resulting in real-time changes; through state feedback evaluation, the final stable state is formed, the gas film is destroyed and the pressure is restored, or the system returns to normal cooling after the pressure is restored; if not up to standard, the modified customized pressure relief control strategy containing secondary flashing is triggered until the system is stable.

[0037] Another aspect of the present application provides an immersion heat dissipation film boiling inhibition system for a flash evaporation effect-based energy storage power station, which implements the immersion heat dissipation film boiling inhibition method for the flash evaporation effect-based energy storage power station, and comprises a sealed box, a pressure sensor, a first condenser, an energy storage battery, a cooling coil, a buffer tank, a first pump, a gas collection tank, a control center, a second condenser and a second pump.

[0038] The sealed box contains the pressure sensor, the energy storage battery and the cooling coil, the cooling coil is connected to the first condenser through a pipeline channel, the energy storage battery data and the pressure sensor are transmitted to the control center through a signal transmission path, the control center transmits data to the first condenser and the second pump through the signal transmission path, the first pump is used for connecting the sealed box through the pipeline channel, the second pump is connected to the buffer tank through the pipeline channel, the buffer tank is connected to the first pump through the pipeline channel, the first pump is connected to the gas collection tank through the pipeline channel, the gas collection tank is connected to the second condenser through the pipeline channel, and the second condenser is connected to the sealed box through the pipeline channel.

[0039] The real-time data acquisition and double-condition judgment triggering mechanism collects the steam cavity pressure and the battery cluster temperature and transmits them to the control center, takes temperature > preset temperature threshold and pressure fluctuation < preset pressure threshold as the judgment standard, and distinguishes between normal operation and gas film intervention stage; the active film breaking strategy in the gas film intervention stage extracts the steam cavity medium, uses the sudden drop of the box pressure to cause violent boiling to break the gas film, generates film boiling solution and judges; the dynamic feedback adjustment mechanism selects pressure recovery and medium recovery according to the double conditions of temperature rise rate < preset value and local pressure fluctuation >= preset threshold, and continuously flashes to the preset value and rejudges the film boiling solution if the conditions are not met; realizes phased accurate regulation and control, avoids invalid intervention in the normal stage, and reduces energy consumption; efficiently solves the film boiling problem in the gas film intervention stage, prevents heat accumulation; the dynamic feedback adjustment ensures that the heat management effect continuously meets the standard, effectively inhibits the overheating of the battery cluster, improves the operation safety and stability of the battery system, reduces resource waste through medium recovery, and optimizes the economic efficiency of the system. BRIEF DESCRIPTION OF DRAWINGS

[0040] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, which together with the embodiments of the present application, serve to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0041] Figure 1 A flowchart of the immersion heat dissipation film boiling inhibition method for the flash evaporation effect-based energy storage power station is provided in Embodiment 1 of the present application;

[0042] Figure 2 A principle diagram of the immersion heat dissipation film boiling inhibition method for the flash evaporation effect-based energy storage power station is provided in Embodiment 1 of the present application;

[0043] Figure 3 Process chart of the temperature rise rate signal and pressure fluctuation value processed by the 5th order Butterworth filter and window algorithm provided in Embodiment 2 of the present application;

[0044] Figure 4 Process chart of generating a customized pressure relief control strategy for the current provided in Embodiment 5 of the present application;

[0045] Figure 5 Process chart of triggering a modified customized pressure relief control strategy containing secondary flash evaporation until the system is stable provided in Embodiment 10 of the present application;

[0046] Figure 6 Principle diagram of the immersion heat dissipation film boiling suppression system of the energy storage power station based on the flash evaporation effect provided in Embodiment 11 of the present application;

[0047] Figure 7 Logic control chart of the immersion heat dissipation film boiling suppression system of the energy storage power station based on the flash evaporation effect provided in Embodiment 11 of the present application;

[0048] Figure 8 Block diagram of the electronic device provided by the present application;

[0049] Figure 9 Block diagram of the computer readable storage medium provided by the present application.

[0050] The figure marks: 1, sealed box; 2, pressure sensor; 3, first condenser; 4, energy storage battery; 5, cooling coil; 6, buffer tank; 7, first pump; 8, gas collection tank; 9, control center; 10, second condenser; 11, second pump; 12, central processing unit / microprocessor / main control chip; 13, storage medium; 14, data bus; 15, input / output bus / external bus / device bus; 16, display; 17, input / output device; 18, computer readable instructions; 19, non-transitory computer readable storage medium. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all.

[0052] Hereinafter, the terms "first", "second", etc. are only used for convenience of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more features. In the description of the present application, unless otherwise specified, the meaning of "multiple" is two or more.

[0053] In this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed mechanical connection, a detachable mechanical connection, or an integral part; or, "connection" can be a direct connection or an indirect connection through an intermediate medium. Furthermore, unless otherwise explicitly specified and limited, the term "coupling" should be interpreted broadly. For example, "coupling" can be a direct electrical connection, such as physical contact and electrical conduction between two components; it can also be understood as an electrical connection between different components in a circuit structure through physical lines capable of transmitting electrical signals, such as copper foil or wires on a printed circuit board (PCB), to transmit electrical signals; or, "coupling" can be an indirect electrical connection between two components through an intermediate medium; or, "coupling" can be an electrical connection between two components in a non-contact manner, such as an electrical connection between two components using capacitive coupling to transmit electrical signals.

[0054] In this embodiment of the invention, directional terms such as "up," "down," "left," and "right" may be defined relative to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms can be relative concepts, used for relative description and clarification, and can change accordingly depending on the orientation of the components in the accompanying drawings.

[0055] Example 1:

[0056] like Figure 1 As shown, this embodiment of the invention provides a method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation effect, comprising the following steps:

[0057] Step S100: The dual-parameter sensor array collects the raw temperature signal and pressure signal in real time. The raw temperature signal is processed by a 5th-order Butterworth filter to obtain the temperature rise rate signal; the raw pressure signal is processed by a window algorithm to obtain the pressure fluctuation value; when the temperature rise rate signal and the pressure fluctuation value simultaneously meet the parameter conditions, it is determined to be a gas film formation state; where the parameter conditions of the temperature rise rate signal correspond to the temperature rise rate of the battery surface, and the parameter conditions of the pressure fluctuation value correspond to the pressure fluctuation of the vapor chamber.

[0058] The conditions are: battery surface temperature rise rate > 6℃ / s, vapor chamber pressure fluctuation < ±0.4kPa, and the duration of battery surface temperature rise rate and vapor chamber pressure fluctuation ≥ 5ms;

[0059] Step S200: The heat flux density of the battery surface during the formation of the gas film is calculated by a one-dimensional heat conduction equation, and the target pressure reduction amplitude, the air extraction rate and the pressure relief duration are dynamically calculated according to the mapping relationship between the heat flux density and the target pressure reduction amplitude; and a customized pressure relief control strategy for the current is generated;

[0060] Step S300: The pump group, cooling coil, valve and other execution units are driven according to the customized pressure relief control strategy, and the target pressure reduction is triggered and completed to produce real-time changes; through state feedback evaluation, the final stable state is formed, the gas film is destroyed and the pressure is recovered, or the system returns to normal cooling after the pressure is stabilized; if it does not meet the standard, a modified customized pressure relief control strategy containing secondary flashing is triggered until the system is stable.

[0061] In the above embodiment, the real-time data acquisition and double condition judgment triggering mechanism are used to collect the steam cavity pressure and battery cluster temperature and transmit them to the control center, and the judgment standard is that the temperature is greater than the preset temperature threshold and the pressure fluctuation is less than the preset pressure threshold, so that the normal operation and the gas film intervention stage are distinguished; the active film breaking strategy in the gas film intervention stage is used to extract the steam cavity medium, use the tank pressure drop to cause violent boiling to destroy the gas film, generate film boiling solution and judge; the dynamic feedback adjustment mechanism is used to select pressure stabilization and medium recovery according to the double conditions that the temperature rise rate is less than the preset value and the local pressure fluctuation is greater than or equal to the preset threshold, and if the conditions are not met, the film boiling solution is re-judged after continuous flashing to the preset value; the stage-by-stage accurate regulation is realized, the invalid intervention is avoided in the normal stage, and the energy consumption is reduced; the film boiling problem is efficiently solved in the gas film intervention stage, and the heat accumulation is prevented; the dynamic feedback adjustment ensures that the heat management effect continuously meets the standard, effectively inhibits the overheating of the battery cluster, improves the operation safety and stability of the battery system, reduces the resource waste through medium recovery, and optimizes the economic efficiency of the system (for specific principles, refer to the attached Figure 2 ).

[0062] Embodiment 2:

[0063] As shown in Figure 3 , on the basis of embodiment 1, the process of the temperature rise rate signal and the pressure fluctuation value processed by the 5-stage Butterworth filter and the window algorithm in step S100 provided by the embodiment of the application includes the following steps:

[0064] Step S101: The original temperature signal sequence collected by the double-parameter sensing array enters a five-stage progressive amplitude-frequency correction link, and the frequency components outside the limit are suppressed with 100Hz as the limit, and the intrinsic heat trend signal is extracted; the intrinsic heat trend signal is processed by 10ms window differential operation, and the instantaneous change slope of the intrinsic heat trend signal in the time domain of 10 milliseconds before and after each calculation point is captured; and the battery surface temperature rise rate signal is output.

[0065] Step S102: The original pressure signal sequence collected by the two-parameter sensing array is purified through five-stage progressive amplitude-frequency correction links to obtain a pure pressure base signal; a 5ms window sliding average is entered, and all pure pressure base signal values in the time domain of 5ms before and after the window center point are calculated by arithmetic equalization; a pressure dynamic equalization line is generated; the instantaneous difference between the original pure pressure base signal and the pressure dynamic equalization line at each corresponding time point is calculated in real time and taken as an absolute value to obtain a pressure instantaneous offset used to represent the pressure stability, that is, the pressure fluctuation value of the steam cavity;

[0066] Step S103: The real-time generated temperature instantaneous jump rate signal and the pressure instantaneous offset start a continuous duration verification mechanism for real-time monitoring; the continuous duration verification mechanism requires that the temperature instantaneous jump rate signal continuously exceeds the threshold of 6℃ / s, and the pressure instantaneous offset must continuously be lower than the threshold of 0.4kPa; when and only when the two conditions are simultaneously satisfied and continuously reach or exceed 5ms, the certainty state identification of the gas film formed by the final condensation is confirmed.

[0067] In the above embodiment, the present embodiment realizes high-precision feature extraction of the original temperature and pressure signals through five-order Butterworth filtering and window algorithm processing: the temperature signal accurately captures the transient temperature rise rate of the battery surface after amplitude-frequency correction and window differential operation, and the pressure signal accurately quantifies the steam cavity pressure fluctuation after amplitude-frequency purification and sliding average processing; the two are strictly screened in the time domain through the joint criterion of the continuous duration verification mechanism to filter the real gas film formation state, provide a high-reliability trigger criterion for the subsequent control strategy, effectively suppress measurement noise interference, and ensure the timeliness and accuracy of state detection.

[0068] Embodiment 3:

[0069] On the basis of embodiment 2, the process of capturing the instantaneous change slope of the intrinsic thermal trend signal in the time domain of 10ms before and after the process in step S101 provided by the present embodiment includes the following steps:

[0070] Step S1011: According to each data point of the filtered pure temperature time series data, a symmetric time window with a total span of 10ms is constructed with the data point as the center;

[0071] Step S1012: In the symmetric time window, the overall trend and morphology of the micro curve formed by the intrinsic thermal trend signal in the symmetric time window are determined, and then the instantaneous change rate true value at the center time of the symmetric time window is solved;

[0072] In the constructed 10 ms symmetrical time window, a micro-thermal change trajectory represented by all data points in the window is processed by a method called spatiotemporal configuration analysis, the overall trend and curvature change inherent in the trajectory are extracted, and the instantaneous change rate true value corresponding to the center time of the window is deduced by using the center point instantaneous attribute inversion algorithm, which is a theoretical ideal change rate excluding any local noise interference.

[0073] Step S1013: The symmetrical time window slides on the time axis point by point, and a new instantaneous change rate true value is calculated for the new center data every time the window advances by one sampling point; the instantaneous change rate true value representing the change intensity at each moment is continuously output, which is called the temperature instantaneous jump rate signal.

[0074] In the above embodiment, the embodiment realizes the accurate extraction of the micro-dynamic characteristics of the temperature signal by constructing a symmetrical sliding window in a 10 ms time window. Specifically, the local symmetrical window structure is used to effectively suppress noise interference, the center point instantaneous change rate is continuously calculated to accurately capture the transient change characteristics of the temperature signal, and finally the continuous quantitative representation of the temperature jump rate is output, which provides a high time resolution quantitative index for the instantaneous dynamic analysis of the thermodynamic process.

[0075] Embodiment 4:

[0076] On the basis of embodiment 2, the process of step S102 in the embodiment of the application for calculating the arithmetic mean of the values of all pure pressure base signals in the 5 ms time domain before and after the center point of the window comprises the following steps:

[0077] Step S1021: Each data point of the filtered pure pressure time series data is used to construct a micro-time domain pressure equalization field with a total span of 5 ms and the data point as the center;

[0078] Step S1022: The values of the pure pressure base signals at all times in the micro-time domain pressure equalization field are fused to generate a micro-time domain equalization pressure value;

[0079] Step S1023: As the center point moves, a corresponding micro-time domain equalization pressure value is obtained for each original data point; all the points are connected to form a pressure dynamic equalization line, which reflects the slow change trajectory of the short-time reference pressure.

[0080] In the above embodiments, the present embodiment realizes three key effects by performing sliding average processing on the pressure signal within a 5 millisecond time window: first, effectively smooths the high-frequency noise interference, retaining the low-frequency characteristics of the signal; second, establishes a slow-changing trajectory of the pressure baseline through dynamic balancing calculation, providing a stable reference for subsequent signal analysis; and finally, the balanced pressure line formed eliminates transient interference without losing signal dynamic characteristics, laying a foundation for accurately extracting pressure signal characteristics.

[0081] Embodiment 5:

[0082] As shown in Figure 4 On the basis of Embodiment 1, the process of generating a customized pressure relief control strategy for the current step S200 provided by the present embodiment includes the following steps:

[0083] Step S201: Obtain the rate value of the temperature instantaneous jump rate signal, and substitute the rate value into the inverse calculation program based on the transient heat penetration principle and the one-dimensional heat conduction equation. The extremely high temperature rise rate is interpreted as a strong representation of the intensity of the rapid impact of heat inside the battery unit to the cooling medium. Through the inverse operation of heat barrier penetration, the instantaneous heat flow intensity value, i.e. heat flux density, passing through the battery surface per unit time and per unit area and transmitted to the medium is back calculated;

[0084] Step S202: Match the obtained instantaneous heat flow intensity value with the preset non-proportional intervention response relationship. Take a fixed intervention amount as the starting point, linearly add an additional incremental intervention amplitude according to the amplitude of the instantaneous heat flow intensity value exceeding the starting point, and synthesize a target pressure correction value;

[0085] Step S203: The target pressure correction value enters two parallel execution parameter solvers; the first solver maps the target pressure correction value to a medium displacement rate command according to the preset relationship between the target pressure correction value and the fluid volume change rate; the second solver maps the target pressure correction value to a pressure intervention time window according to the dynamics of the target pressure correction value and the system time response;

[0086] Step S204: The target pressure correction value, the medium displacement rate command and the pressure intervention time window are three core parameters that are converged and packaged into a customized pressure relief control strategy.

[0087] In the above embodiments, the present embodiment realizes accurate early intervention of thermal runaway by monitoring the mutation rate of battery temperature in real time, inversely calculating the heat flux density and matching the non-proportional response relationship, dynamically generating a pressure correction value, and then solving the medium displacement rate and the intervention time window in parallel, and finally forming a multi-parameter coupled pressure relief strategy. The whole process quantifies the mapping relationship between thermal shock intensity and pressure regulation, and through the dual control dimensions of fluid dynamics and time response, it avoids excessive pressure relief while ensuring cooling efficiency, and achieves a dynamic balance of thermal-flow-pressure collaborative optimization. The core technical effect lies in converting transient thermal shock into executable fluid control parameters and establishing a closed-loop control link from thermodynamic abnormalities to mechanical modulation.

[0088] Embodiment 6

[0089] On the basis of embodiment 5, the process of the target pressure correction value entering two parallel execution parameter solvers in step S203 provided by the present embodiment includes the following steps:

[0090] Step S2031: The target pressure correction value is input into a first solver to analyze the system volume response characteristic, and the system volume response characteristic analysis is embedded with the quantitative relationship between the system volume and the pressure change. The target pressure correction value to be achieved is analyzed into the medium fluid volume amount that needs to be removed from the closed cavity in unit time. The result of the analysis calculation is defined as a specific medium displacement rate instruction for driving the air pump group.

[0091] Step S2032: The target pressure correction value is simultaneously input into a second solver to perform dynamic response estimation and intervention intensity-time length balance calculation to seek the optimal and shortest critical stable time length required to achieve the target pressure correction value. The output critical stable time length is the pressure intervention time window.

[0092] In the above embodiments, the present embodiment realizes system volume response characteristic analysis and dynamic response estimation through parallel double solvers: the former converts the pressure correction requirement into an accurate medium displacement rate instruction to ensure the physical quantity matching of pressure regulation; the latter calculates the optimal intervention time length and intensity combination to minimize the regulation time on the premise of ensuring stability; and the two realize the optimal balance between physical quantity accurate control and dynamic response efficiency in the pressure regulation process.

[0093] Embodiment 7

[0094] On the basis of embodiment 6, the process of analyzing the medium fluid volume amount that needs to be removed from the closed cavity in unit time in step S2031 provided by the present embodiment includes the following steps:

[0095] Step S20311: the target pressure correction value is operated with the preset pressure-volume conversion coefficient to solve the total volume change of the medium removed from the cavity to achieve the target pressure correction;

[0096] Step S20312: the total volume change of the medium is divided by the minimum stable time base representing the shortest time span required for the system pressure to achieve a drop, to obtain a constant volume flow rate requirement;

[0097] Step S20313: the specific value of the obtained volume flow rate requirement is converted into a basic instruction, the basic instruction is packaged into a control signal message, and the control bus is used to real-time issue to the driver of the air extraction pump group; after the driver receives and analyzes the message, the running power or speed of the pump group motor is adjusted.

[0098] In the above embodiment, the total amount of medium required to be removed is calculated by pressure-volume conversion, and then the constant flow rate instruction is converted according to the system response time requirement, and finally the precise power adjustment of the air extraction pump group is realized, and the technical effect of fast and stable correction of the pressure of the closed cavity is achieved.

[0099] Embodiment 8:

[0100] On the basis of embodiment 7, the process of converting the basic instruction in step S20313 provided by the embodiment of the application comprises the following steps:

[0101] Step S203131: after receiving the value of the volume flow rate requirement, start an instruction normalization process; convert the value into a device-independent abstract control quantity;

[0102] Step S203132: the device-independent abstract control quantity input value drives the interface adaptation layer, and according to the pre-established pump group characteristic mapping table, the abstract control quantity is converted into a device-specific driving instruction; the pump group characteristic mapping table defines the corresponding relationship between the abstract flow value and the specific driving parameter;

[0103] Step S203133: the device-specific driving instruction is packaged into a real-time control signal message with a standard format and target address and verification information; through the control bus inside the system, it is sent to the designated air extraction pump group driver in an instant; after receiving the message, the device-specific driving instruction is parsed, and the running power or speed of the pump group motor is adjusted.

[0104] In the above embodiment, the flow rate value is converted into a device-independent abstract control quantity, and then mapped to a device-specific driving instruction through the adaptation layer, and finally packaged into a standard message and sent to the driver, so that different types of air extraction pump groups can receive and accurately respond to the flow control instruction, and ensure the high-speed closed-loop execution of the system pressure adjustment requirement.

[0105] Example 9:

[0106] Based on Example 6, the process of seeking the optimal and shortest critical stabilization time required to achieve the target pressure correction value in step S2032 of this embodiment of the invention includes the following steps:

[0107] Step S20321: Call a pre-set system pressure relaxation time constant to describe the magnitude of the inherent inertia of the system pressure autonomously recovering to a new equilibrium state after being subjected to a unit step disturbance;

[0108] Step S20322: Combine the absolute value of the target pressure correction value with the system pressure relaxation time constant to find the shortest time solution that can meet the system stability requirements, and solve for a minimum critical stability time that ensures the damping ratio of the system response over-process is greater than the critical value; the minimum critical stability time is defined as the pressure intervention time window.

[0109] In the above embodiments, this embodiment calculates the critical intervention time window that can meet the stability requirements and achieve the fastest response by combining the system's own pressure relaxation characteristics and the target pressure correction amount, so as to ensure that the system pressure regulation process is both fast and stable and avoid overshoot or oscillation.

[0110] Example 10:

[0111] like Figure 5 As shown, based on Example 1, this embodiment of the invention provides a process in step S300 of triggering a modified customized pressure relief control strategy including secondary flash evaporation until the system stabilizes, which includes the following steps:

[0112] Step S301: Activate the intervention effectiveness evaluation mechanism, compare the current real-time evaluation data with the expected stress field rebalancing state, and generate a level 1 intervention failure flag when it is confirmed that the system has failed to reach the expected stability target within the specified time.

[0113] Step S302: Based on the primary intervention failure flag, activate a progressive pressure correction, introducing a fixed pressure step increment on the basis of the initial intervention target pressure correction value; the new pressure reduction target value is updated to the sum of the original target value and the secondary increment;

[0114] Step S303: The updated pressure reduction target value, together with the system volumetric response characteristic analysis and system dynamic response prediction, is recalculated to derive a new set of execution parameters, including the enhanced medium pumping rate command and the extended pressure intervention time window; the updated pressure reduction target value, the newly calculated execution parameters, and the current cycle count value are collectively encapsulated into a new composite intervention command set, namely, the modified customized pressure relief control strategy.

[0115] In the above embodiments, the present embodiment realizes system stability by dynamically adjusting the pressure relief control strategy: first, the system state is evaluated in real time and the failure condition is marked, then the gradual pressure correction mechanism is triggered based on the marking, the pressure step increment is introduced to update the pressure reduction target value; then the system dynamic characteristics are combined to recalculate the execution parameters, and a composite instruction set containing enhanced pumping rate and prolonged intervention time is generated, finally the precise rebalancing of the pressure field and the optimization control of the system stability are realized.

[0116] Embodiment 11:

[0117] As shown in Figure 6 and Figure 7 Based on embodiments 1-10, the immersion heat dissipation film boiling suppression system for energy storage power station based on flash evaporation effect provided by the present embodiment comprises a sealed box body 1, a pressure sensor 2, a first condenser 3, an energy storage battery 4, a cooling coil 5, a buffer tank 6, a first pump 7, a gas collection tank 8, a control center 9, a second condenser 10, and a second pump 11.

[0118] The sealed box body 1 contains the pressure sensor 2, the energy storage battery 4, and the cooling coil 5; the cooling coil 5 is connected to the first condenser 3 through a pipeline channel; the energy storage battery 4 and the pressure sensor 2 are transmitted to the control center 9 through a signal transmission path; the control center 9 transmits data to the first condenser 3 and the second pump 11 through a signal transmission path; the first pump 7 is used to connect the sealed box body 1 through a pipeline channel; the second pump 11 and the cooling coil 5 are connected to the buffer tank 6 through a pipeline channel; the buffer tank 6 is connected to the first pump 7 through a pipeline channel; the first pump 7 is connected to the gas collection tank 8 through a pipeline channel; the gas collection tank 8 is connected to the second condenser 10 through a pipeline channel; and the second condenser 10 is connected to the sealed box body 1 through a pipeline channel.

[0119] In the above embodiment, the present embodiment is a pressure drop induced flash evaporation energy storage battery film boiling suppression system, which is composed of a sealed pressure cavity, an energy storage battery group 4, a dual-parameter sensing array, a buffer tank 6, a first pump 7, a second pump 11, a gas collection tank 8, a cooling coil 5 and a control center 9. The core activates the gas film by regulating the local pressure in the sealed cavity to induce the self-flash evaporation potential of the medium, realizes the closed-loop control of normal condensation cycle to gas film judgment to pressure drop flash evaporation to pressure recovery and medium recovery; the sealed pressure cavity is a closed pressure-resistant structure, which is divided into a liquid cavity and a steam cavity. The liquid cavity includes full immersion of the energy storage battery, filling of fluorinated two-phase medium, and normal liquid state as the main state; the steam cavity includes a built-in cooling coil to collect the gaseous medium evaporated from the liquid cavity; the dual-parameter sensing array takes a temperature sensor with a sampling rate of ≥2 kHz and a pressure sensor with a sampling rate of ≥3 kHz as the core, which is closely attached to the surface of the battery and the key area of the steam cavity, and can capture the characteristic signals of temperature sudden rise and pressure stability when the gas film is formed in real time; the buffer tank 6 always maintains a certain amount of gas of the same medium, and cooperates with the pump group to complete two core actions: removing the medium in the steam cavity to the buffer tank 6 to realize pressure drop, or injecting the gas in the buffer tank 6 into the steam cavity to restore pressure stability; the gas collection tank 8 only stores excess steam from the buffer tank during the flash evaporation stage. When the pressure in the gas collection tank 8 reaches the threshold value, the condenser 3 starts to liquefy the steam and return it to the liquid cavity; the cooling coil 5 normally cools the gaseous medium in the steam cavity to make it liquefy and drop back to the liquid level of the liquid cavity, maintaining the natural condensation cycle; the intelligent control center integrates data processing, pressure regulation algorithm and execution logic, and links various components to realize the closed-loop operation of sensing monitoring to pressure calculation to pressure relief triggering to state feedback; the heat generated by the energy storage battery causes the liquid cavity medium to evaporate, and the gaseous medium rises to the steam cavity and is cooled and liquefied by the cooling coil and then drops back to the liquid cavity, continuously maintaining the stability of the temperature and pressure of the liquid cavity; when the dual-parameter sensing array detects a sudden temperature rise and stable pressure, the intelligent control center determines that the gas film is formed, drives the pump group to remove the medium in the steam cavity to the buffer tank 6, causes the pressure in the target area of the steam cavity to drop suddenly for a short time, induces the liquid medium to flash evaporate due to overheating, and the bubbles generated by the flash evaporation tear the gas film by phase change impact and flow disturbance; after the flash evaporation is completed, the pump group operates in reverse to inject the medium gas in the buffer tank 6 into the steam cavity, and the pressure is restored to stability in a short time; the excess steam generated by the flash evaporation enters the gas collection tank for temporary storage, and when the pressure reaches the threshold value, the condenser of the gas collection tank 8 starts to work, the liquefied medium returns to the liquid cavity through the pipeline, and the cooling coil 5 synchronously recovers to normal condensation to maintain the balance of the liquid level of the liquid cavity; the intelligent control center collects sensing data in real time throughout the process, dynamically adapts parameters in each stage, and ensures the closed-loop cooperation of the system; the sensing monitoring module: the temperature and pressure data collected by the dual-parameter sensing array are transmitted to the signal preprocessing unit through shielded cables, the noise is eliminated through 5-order Butterworth filtering, the temperature signal is subjected to 10 ms window differential operation to obtain the temperature rise rate, and the pressure signal is subjected to 5 ms window sliding average to obtain the fluctuation value. When the battery surface temperature rise rate > 6℃ / s and the steam cavity pressure fluctuation < ±0.4kPa, it is determined that the gas film is formed.Pressure regulation algorithm module: dynamically calculate the pressure reduction parameters based on heat flux density: use one-dimensional heat conduction equation to back-propagate heat flux density; calculate the target pressure reduction amplitude according to the mapping relationship of "every increase of 3W / cm 2 of q, the pressure reduction amplitude ΔP increases by 0.1MPa", and generate the corresponding pumping rate and pressure relief duration; pressure relief trigger module: determine whether the gas film is formed within 10ms, and drive the pump group to pump away the steam cavity medium at the calculated rate within 50ms to complete the target pressure reduction; simultaneously increase the cooling coil power to the rated value of 120%, and open the gas collector inlet valve; state feedback module: evaluate the intervention effect every 5ms, if the temperature rise rate is detected to be <3℃ / s and the pressure fluctuation is ≥±1.2kPa, it is determined that the gas film is damaged, and the pump group is driven to operate in reverse to restore the pressure within 200ms; if the standard is not met within 0.3s, trigger secondary flashing; after the pressure is restored, start the condenser when the gas collector pressure reaches 0.2MPa, and the cooling coil returns to normal. The core mechanism of this embodiment is to induce the self-flashing of the medium through pressure drop, combined with the precise pressure regulation of the buffer tank-pump group, the steam full recovery of the gas collector-condenser and the closed-loop cooperation of the intelligent control center, to realize the efficient inhibition of film boiling. Its advantages are as follows: first, relying on rapid pressure drop and phase change impact, the gas film can be quickly torn at the initial stage of its formation, greatly shortening the duration of the gas film, reducing the risk of thermal runaway, and responding more timely than traditional solutions; second, the same medium gas is used to restore the pressure, avoiding interference from external gas, restoring the pressure accurately and quickly, reducing the formation of secondary gas film, and improving system stability; third, without modifying the battery structure, the new components can be directly integrated into the existing system, adapting to various scale energy storage scenarios, and the full closed-loop linkage of the control center reduces the delay and improves the overall collaborative efficiency. In summary, the embodiment provides efficient, stable and economic heat dissipation protection for large-scale energy storage power stations, and meets the stringent requirements of high-power charging and discharging scenarios.

[0120] Figure 8 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present application is shown.

[0121] The electronic device can include a central processor / microprocessor / master control chip 12; a storage medium 13 coupled to the central processor / microprocessor / master control chip 12 and storing computer executable instructions therein for performing the steps of various methods of embodiments of the present application when executed by the processor.

[0122] The central processor / microprocessor / master control chip 12 can include, but is not limited to, for example, one or more processors or microprocessors, etc.

[0123] The storage medium 13 can include, but is not limited to, for example, a random access memory (RAM), a read only memory (ROM), a flash memory, an EPROM memory, an EEPROM memory, a register, a computer storage medium (such as a hard disk, a floppy disk, a solid state disk, a removable disk, a CD-ROM, a DVD-ROM, a Blu-ray disk, and the like).

[0124] In addition, the electronic device can further include, but is not limited to, a data bus 14, an input / output bus / external bus / device bus 15, a display 16, and an input / output device 17 (for example, a keyboard, a mouse, a speaker, and the like), and the like.

[0125] The central processing unit / microprocessor / master control chip 12 can communicate with external devices (16, 17, and the like) via a wired or wireless network (not shown) through the input / output bus / external bus / device bus 15.

[0126] The storage medium 13 can further store at least one computer executable instruction for performing steps of various functions and / or methods in the embodiments described in the present technology when executed by the central processing unit / microprocessor / master control chip 12.

[0127] In one embodiment, the at least one computer executable instruction can also be compiled or constituted as a software product in which one or more computer executable instructions are executed by a processor to perform steps of various functions and / or methods in the embodiments described in the present technology.

[0128] Figure 9 A schematic diagram of a computer readable storage medium according to an embodiment of the present application is shown.

[0129] As Figure 9 shown, the non-transitory computer readable storage medium 19 stores instructions, for example, computer readable instructions 18. When the computer readable instructions 18 are executed by a processor, various methods described above can be performed. The non-transitory computer readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory can include, for example, a random access memory (RAM) and / or a cache memory, and the like. The non-transitory non-volatile memory can include, for example, a read only memory (ROM), a hard disk, a flash memory, and the like. For example, the non-transitory computer readable storage medium 19 can be connected to a computing device such as a computer, and then, when the computer readable instructions 18 stored on the non-transitory computer readable storage medium 19 are executed by the computing device, various methods described above can be performed.

[0130] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed to multiple network units. Part or all of the units may be selected according to actual needs to achieve the purpose of the embodiment scheme. In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit. The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for executing all or part of the steps of the method of each embodiment of the present application by a computer device (which can be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), a random access memory (English full name: Random Access Memory, English abbreviation: RAM), a magnetic disk or an optical disk, and various program code storage media.

[0131] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for suppressing film boiling in an immersion heat dissipation energy storage power station based on flash evaporation effect, characterized in that, Includes the following steps: The dual-parameter sensor array collects raw temperature and pressure signals in real time. The raw temperature signal is processed by a 5th-order Butterworth filter to obtain the temperature rise rate signal. The raw pressure signal is processed by a window algorithm to obtain the pressure fluctuation value. When the temperature rise rate signal and the pressure fluctuation value simultaneously meet the parameter conditions, it is determined to be a gas film formation state. Among them, the parameter conditions of the temperature rise rate signal correspond to the temperature rise rate of the battery surface, and the parameter conditions of the pressure fluctuation value correspond to the pressure fluctuation of the vapor chamber. The heat flux density on the battery surface during gas film formation is calculated by back-calculation using a one-dimensional heat conduction equation. Based on the mapping relationship between heat flux density and target pressure drop, the target pressure drop, pumping rate, and pressure relief duration are dynamically calculated, generating a customized pressure relief control strategy for the current situation. The conditions are: battery surface temperature rise rate > 6℃ / s, vapor chamber pressure fluctuation < ±0.4kPa, and the duration of battery surface temperature rise rate and vapor chamber pressure fluctuation ≥ 5ms.

2. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation effect as described in claim 1, characterized in that, The process of generating a customized pressure relief control strategy for the current situation includes the following steps: The rate value of the instantaneous temperature jump rate signal is obtained, and the rate value is substituted into the inverse calculation program based on the transient heat penetration principle and the one-dimensional heat conduction equation. Through the inverse operation of thermal barrier penetration, the instantaneous heat flux intensity value that passes through the battery surface and is transferred to the medium per unit time and per unit area is deduced. The instantaneous heat flux intensity value is the heat flux density. The obtained instantaneous heat flux intensity value is matched with the preset non-proportional intervention response relationship. Starting with a solid foundation intervention amount, additional incremental intervention amplitudes are linearly superimposed according to the extent that the instantaneous heat flux intensity value exceeds the starting point, and a required target pressure correction value is synthesized. The target pressure correction value is fed into two parallel execution parameter solvers. The first solver maps the target pressure correction value into a medium pumping rate command based on the preset relationship between the target pressure correction value and the fluid volume change rate. The second solver maps the target pressure correction value into a pressure intervention time window based on the dynamic characteristics of the system time response. The three core parameters—target pressure correction value, medium pumping rate command, and pressure intervention time window—are converged and encapsulated into a customized pressure relief control strategy.

3. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation as described in claim 2, characterized in that, The process of feeding the target pressure correction value into two parallel execution parameter solvers includes the following steps: The target pressure correction value is input to the first solver to analyze the system volumetric response characteristics. The system volumetric response characteristics analysis embeds the quantitative relationship between system volume and pressure change. The target pressure correction value to be achieved is analyzed as the volume of medium fluid to be removed from the sealed cavity per unit time; the result of the analytical calculation is defined as the specific medium removal rate command to drive the air pump unit. The target pressure correction value is synchronously input to the second solver for dynamic response prediction, and intervention intensity-duration balance calculation is performed to seek the optimal and shortest critical stability time required to achieve the target pressure correction value.

4. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation as described in claim 3, characterized in that, The process of analyzing the volume of medium fluid that needs to be removed from a closed cavity per unit time includes the following steps: The target pressure correction value is calculated with the preset pressure-volume conversion coefficient to determine the total volume change of the medium removed from the cavity to achieve the target pressure correction. Divide the total volume change of the medium by the minimum stable time base that represents the shortest time span required for the system pressure to decrease, and a constant volumetric flow rate requirement is obtained. The specific value of the volumetric flow rate requirement is converted into a basic instruction. The basic instruction is encapsulated into a control signal message and sent to the driver of the air pump unit in real time through the control bus. After receiving and parsing the message, the driver adjusts the operating power or speed of the pump unit motor.

5. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation as described in claim 4, characterized in that, The process of converting instructions into basic commands includes the following steps: Upon receiving the required volumetric flow rate value, an instruction normalization process is initiated to convert the value into a device-independent abstract control variable. The device-independent abstract control input value driver interface adaptation layer converts the abstract control quantity into a device-specific driver instruction based on a pre-established pump group characteristic mapping table; the pump group characteristic mapping table defines the correspondence between abstract flow values ​​and specific driver parameters. The device-specific drive instructions are encapsulated into a standard format and a real-time control signal message with target address and verification information; it is instantly sent to the designated air pump group driver through the system's internal control bus. After receiving the message, the driver parses out the device-specific drive instructions and adjusts the operating power or speed of the pump motor.

6. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation as described in claim 3, characterized in that, The process of finding the optimal and shortest critical stabilization time required to achieve the target pressure correction value includes the following steps: Call a pre-set system pressure relaxation time constant to describe the magnitude of the intrinsic inertia of the system pressure autonomously recovering to a new equilibrium state after being subjected to a unit step disturbance; By combining the absolute value of the target pressure correction value with the system pressure relaxation time constant, we can find the shortest time solution that can meet the system stability requirements and solve for the minimum critical stability time that ensures the damping ratio of the system response over-process is greater than the critical value. The minimum critical stability time is defined as the pressure intervention time window.

7. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation as described in claim 1, characterized in that, It also includes driving pump units, cooling coils and valve actuators according to customized pressure relief control strategies to trigger and complete the target pressure reduction, generating real-time changes; through state feedback evaluation, a final stable state is formed, the gas film is destroyed and the pressure is restored, or the system resumes normal cooling after the pressure stabilizes; If the target is not met, a modified customized pressure relief control strategy, including secondary flash evaporation, will be triggered until the system stabilizes.

8. The method for suppressing film boiling in an immersion heat dissipation power station based on flash evaporation effect as described in claim 7, characterized in that, The process of triggering a modified, customized pressure relief control strategy involving secondary flash evaporation until the system stabilizes includes the following steps: The intervention effectiveness evaluation mechanism is activated, and the current real-time evaluation data is compared with the expected rebalancing state of the stress field. When it is confirmed that the system has failed to reach the expected stability target within the specified time, a level-one intervention failure indicator is generated. Based on the primary intervention failure indicator, a progressive pressure correction is activated, introducing a fixed pressure step increment on the basis of the initial intervention target pressure correction value; the new pressure reduction target value is updated to the sum of the original target value and the secondary increment. The updated pressure reduction target value, along with the system volumetric response characteristic analysis and system dynamic response prediction, is recalculated to derive a new set of execution parameters, including an enhanced medium pumping rate command and an extended pressure intervention time window. The updated pressure reduction target value, the newly calculated execution parameters, and the current cycle count value are collectively encapsulated into a new composite intervention command set, which is used to modify the customized pressure relief control strategy.

9. A system for suppressing film boiling in an immersion-heated energy storage power station based on flash evaporation effect, comprising the method for suppressing film boiling in an immersion-heated energy storage power station based on flash evaporation effect as described in any one of claims 1 to 8, characterized in that, include: Sealed enclosure, pressure sensor, first condenser, energy storage battery, cooling coil, buffer tank, first pump, gas collection tank, control center, second condenser, second pump; The sealed enclosure contains a pressure sensor, an energy storage battery, and a cooling coil. The cooling coil is connected to the first condenser via piping. Data from the energy storage battery and the pressure sensor is transmitted to the control center via a signal transmission path. The control center transmits the data to the first condenser and the second pump via the same signal transmission path. The first pump is connected to the sealed enclosure via piping. The second pump and the cooling coil are connected to a buffer tank via piping. The buffer tank is connected to the first pump via piping. The first pump is connected to a gas collection tank via piping. The gas collection tank is connected to the second condenser via piping. The second condenser is connected to the sealed enclosure via piping.

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