Efficient liquid cooling energy storage system and control method thereof

Abstract

The invention relates to the technical field of liquid cooling energy storage control, in particular to an efficient liquid cooling energy storage system and a control method thereof, and the system comprises a path monitoring module, a path recognition module, an abnormality marking module, a switching execution module and a path reinspection module. According to the method, through combined calculation of the main channel pressure change rate and the outlet pressure deviation value, early recognition of the cooling efficiency attenuation trend is achieved, the channel abnormity sensing precision is improved, the temperature recovery rate is introduced to serve as a heat release accumulation criterion, the dynamic judgment capacity for heat retention is enhanced, and the cooling efficiency is improved through a double abnormity parallel judgment mode. Misjudgment is avoided, early warning accuracy is improved, main and standby channel switching is implemented, an independent cooling path structure is formed, pressure and temperature fluctuation is dynamically rechecked after a standby path is started, stable switching is ensured, the continuous monitoring capacity is achieved, and a parameter trend recognition, path reconstruction and state verification closed-loop mechanism is integrally constructed. And the operation stability and the thermal control reliability of the energy storage system are improved.

Description

Technical Field

[0001] The present invention relates to the field of liquid-cooled energy storage control technology, and in particular to a high-efficiency liquid-cooled energy storage system and a control method thereof. Background Art

[0002] The field of liquid-cooled energy storage control technology includes thermal control methods in electric energy storage and management systems, especially liquid cooling technology that regulates temperature during the energy storage process to ensure stable system operation. The core content is to thermally manage the energy storage unit through a liquid circulation system to maintain it within the optimal operating temperature range to improve its safety and service life. It integrates technologies such as power energy storage, thermal engineering and automated control, covering cooling circuit design, heat exchanger structure, pump control strategy and temperature control logic linked to the energy storage status. It is widely used in scenarios such as battery energy storage, power peak regulation and new energy supporting.

[0003] Among them, the high-efficiency liquid-cooled energy storage system refers to a temperature control system applied to battery energy storage equipment. It has the ability to optimize the liquid cooling path and dynamically adjust it. It is used to solve the problem of the large amount of heat generated during the energy storage process not being able to be dissipated in time, resulting in low heat exchange efficiency, high energy consumption, and poor cooling uniformity. The temperature control function is achieved by setting up partitioned liquid cooling channels, using high heat transfer performance materials as heat dissipation components, and introducing a temperature feedback control loop to dynamically adjust the liquid flow rate. At the same time, the cooling path layout is constructed based on the heat distribution state, and the cooling structure layout is optimized using fluid dynamics parameter matching methods to achieve uniform cooling control of battery cells and their integrated modules.

[0004] While existing energy storage systems possess basic temperature control capabilities during liquid cooling, they typically rely on the real-time value of a single physical quantity as the control basis. They lack a mechanism for tracking cooling path trends, making it difficult to accurately capture dynamic changes in channel performance. Temperature control often addresses local temperature rises by adjusting liquid flow rates, without incorporating methods to analyze the rate of temperature change. This makes it difficult to identify potential heat accumulation trends, and adjustments are often made passively after temperatures exceed limits, resulting in delayed response. Channel switching typically involves local parameter adjustments within the same cooling network, lacking independent backup paths. This prevents the system from completely eliminating the risk chain when systemic degradation of the primary channel occurs. Monitoring and feedback often rely on single-point measurement and static comparisons, lacking a combined analysis of pressure fluctuation trends and dynamic heat flow changes, making it easy to overlook degradation signals across cycles. For example, in a multi-module energy storage system, if a cooling channel experiences long-term pressure fluctuations exceeding the limit without triggering a static alarm, the system's lack of trend analysis can lead to a continuous decline in thermal efficiency, ultimately causing energy storage unit efficiency degradation or overall power imbalance, limiting system efficiency and equipment safety margins. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a high-efficiency liquid-cooled energy storage system and a control method thereof.

[0006] In order to achieve the above objectives, the present invention adopts the following technical solution: A high-efficiency liquid-cooled energy storage system includes:

[0007] The path monitoring module obtains the pressure sensor data of the battery cell liquid cooling main channel, calculates the main channel pressure change rate, compares the outlet pressure parameter with the outlet pressure rating, determines whether there is a cooling efficiency decline trend in the main channel, and generates the energy storage cooling channel degradation status analysis results;

[0008] The path identification module calculates the main channel temperature recovery rate based on the degradation state analysis results of the energy storage cooling channel, compares it with the liquid temperature recovery rate threshold, determines whether there is a heat release accumulation trend in the main channel, and generates the energy storage module heat reflux identification result;

[0009] The abnormality marking module performs a parallel status judgment based on the degradation status analysis result of the energy storage cooling channel and the thermal reflux identification result of the energy storage module. If both are abnormal, the main channel is marked as abnormal operation to obtain a cooling channel failure warning signal;

[0010] The switching execution module switches the main channel to a closed state based on the cooling channel failure warning signal, activates the flow path of the backup channel, and simultaneously starts the backup path pressure-temperature monitoring to determine whether the backup channel is maintained within the allowable range of pressure fluctuation and temperature fluctuation, and generates a liquid cooling path switching stability record.

[0011] As a further solution of the present invention, the energy storage cooling channel degradation status analysis results include the coolant flow resistance change trend, the local pressure abnormality area in the cooling channel, and the main channel system cooling performance fluctuation index. The energy storage module heat backflow identification results include the heat accumulation formation location, the abnormal temperature recovery path, and the backflow heat estimation data. The cooling channel failure warning signal includes the cooling anomaly joint judgment status, the path availability failure indicator, and the fault trend level label. The liquid cooling path switching stability record includes the backup channel pressure stability index, the backup channel temperature stability index, and the path switching response delay parameter.

[0012] As a further solution of the present invention, the path monitoring module includes:

[0013] The pressure data acquisition submodule collects real-time pressure monitoring data of the battery cell liquid cooling main channel through the pressure sensor, selects the inlet pressure and outlet pressure values of the continuous monitoring cycle, and records the rated value of the outlet pressure to generate a periodic pressure monitoring data set;

[0014] The pressure change rate calculation submodule calculates the main channel pressure change rate based on the periodic pressure monitoring data set, and marks the pressure decay alarm threshold to obtain the main channel pressure change rate sequence;

[0015] The channel efficiency judgment submodule performs a judgment operation between the outlet pressure value and the outlet pressure rated value based on the main channel pressure change rate sequence and the periodic pressure monitoring data set, synchronously compares whether the pressure change rate exceeds the pressure decay alarm threshold, and calculates the main channel outlet pressure decrease trend, determines whether the main channel has a cooling efficiency decrease trend, and obtains the energy storage cooling channel degradation status analysis results.

[0016] As a further solution of the present invention, the path identification module includes:

[0017] The temperature parameter extraction submodule reads the continuous temperature monitoring data of the cooling medium at the outlet of the main channel in the corresponding time period through the temperature sensor based on the degradation state analysis results of the energy storage cooling channel, and calculates the temperature difference sequence of each cycle to obtain the cycle temperature difference and time series set;

[0018] The temperature rise rate calculation submodule calculates the temperature rise rate based on the periodic temperature difference and each periodic temperature difference and the corresponding time length in the time series set, and calculates and outputs the main channel temperature rise trend degree;

[0019] The heat reflux trend judgment submodule compares the temperature recovery trend of the main channel with the liquid temperature recovery rate threshold. If the temperature exceeds the liquid temperature recovery rate threshold, it is marked that there is a heat release and accumulation trend at the current main channel outlet, and the heat reflux identification result of the energy storage module is obtained.

[0020] As a further solution of the present invention, the abnormality marking module includes:

[0021] The state judgment submodule judges whether the current cycle is in an abnormal state based on the energy storage cooling channel degradation state analysis result and the energy storage module heat reflow identification result. If both are abnormal, it is determined that there is a parallel abnormal trend in the current cycle, and a parallel abnormal state identifier is generated;

[0022] The condition screening submodule applies an abnormal operation flag to the main channel according to the parallel abnormal state flag, and records the current cycle number and state flag. If only a single abnormal state exists in the current cycle, it is recorded as a delayed judgment cycle, and the path state judgment result is obtained;

[0023] The warning signal generation submodule determines the path status based on the result. If the current cycle and the previous cycle are both in a parallel abnormal state and the delayed judgment no longer continues, it is confirmed that the current path has a continuous fault trend, the main channel number and the collection cycle information are bound, and a cooling channel failure warning signal is established.

[0024] As a further solution of the present invention, the switching execution module includes:

[0025] The valve group control submodule performs a status write operation on the electric regulating valve group based on the cooling channel failure warning signal, sets the main channel control instruction to be closed, and simultaneously sets the control instruction of the standby channel regulating valve to be open, and generates a channel switching execution record;

[0026] The channel activation submodule activates the monitoring channel node of the standby channel according to the channel switching execution record, collects the pressure and temperature signal data of the coolant in the standby path, and obtains the standby channel dual-parameter monitoring data group;

[0027] The fluctuation judgment submodule performs statistical analysis on the pressure data and temperature data based on the backup channel dual-parameter monitoring data group, and compares them with the set pressure fluctuation allowable range and temperature fluctuation allowable range. If all are maintained within the allowable range, it is recorded as a fluctuation stability period, and the proportion of the fluctuation stability period is calculated to determine whether the stability conditions are met and generate a liquid cooling path switching stability record.

[0028] As a further embodiment of the present invention, the system further comprises:

[0029] The path recheck module, based on the stable record of the liquid cooling path conversion, resumes periodic detection of the main channel, continuously obtains the pressure and liquid temperature fluctuation range within the cycle, and determines whether it is stably maintained within the control parameter range. If the fluctuation limit conditions are met at the same time, the main channel is marked as a standby optional state, and the cooling channel is dynamically switched to generate a liquid cooling energy storage path regulation and control plan;

[0030] The liquid-cooled energy storage path regulation and control scheme includes a primary-backup path switching priority strategy, a path dynamic regulation cycle setting, and cooling channel stability evaluation data.

[0031] As a further solution of the present invention, the path recheck module includes:

[0032] The main channel detection submodule reactivates the data acquisition process of the main channel based on the liquid cooling path switching stability record, collects the coolant pressure and liquid temperature data in a continuous cycle, and establishes a main channel periodic monitoring parameter set;

[0033] The fluctuation screening submodule performs difference calculation on the maximum and minimum values of pressure and liquid temperature in each cycle according to the main channel periodic monitoring parameter set, calculates the relative fluctuation rate based on the average value, analyzes the fluctuation situation, and obtains the stable maintenance state record of the main channel;

[0034] The channel control submodule records the stable maintenance status of the main channel. If it is determined that the main channel state is stable, the main channel is marked as a switchable backup path channel, and channel control is started at the same time, the current cooling channel path control state is switched, and a liquid-cooled energy storage path control control scheme is generated.

[0035] A high-efficiency liquid-cooled energy storage control method comprises the following steps:

[0036] S1: Obtain the periodic pressure monitoring value of the main channel, determine whether the current outlet pressure is lower than the rated outlet pressure, analyze the pressure change rate trend, and generate the energy storage cooling channel degradation status analysis results;

[0037] S2: Based on the degradation analysis results of the energy storage cooling channel, extract the main channel outlet liquid temperature, calculate the temperature difference between the current and previous cycles, determine the heating rate trend, and generate the energy storage module heat reflow identification result;

[0038] S3: Based on the analysis result of the degradation state of the energy storage cooling channel and the identification result of the heat reflow of the energy storage module, determining whether there are simultaneous abnormalities, identifying the abnormal combination state, and generating a cooling channel failure warning signal;

[0039] S4: According to the cooling channel failure warning signal, the main channel is closed and the backup path is activated, the pressure and temperature fluctuation range of the backup channel is monitored, and a liquid cooling path switching stability record is generated;

[0040] S5: Based on the liquid cooling path switching stability record, the main channel detection is restored, the fluctuation data in the continuous cycle is collected, and it is determined whether it is stably maintained within the control range, and a liquid cooling energy storage path regulation and control plan is generated.

[0041] Compared with the prior art, the advantages and positive effects of the present invention are:

[0042] In the present invention, by combining the calculation of the main channel pressure change rate and the outlet pressure deviation value, early identification of the cooling efficiency attenuation trend is achieved, the channel abnormality perception accuracy is improved, the temperature recovery rate is introduced as the heat release accumulation criterion, and the dynamic judgment ability of heat retention is enhanced. Through the dual abnormality parallel judgment method, misjudgment is avoided and the early warning accuracy is improved. The main and standby channel switching is implemented to form an independent cooling path structure, and the redundancy of the cooling system is enhanced. After the standby path is started, the pressure and temperature fluctuations are dynamically reviewed to ensure that the switching is stable and has continuous monitoring capabilities. The overall closed-loop mechanism of parameter trend identification, path reconstruction and status verification is constructed to improve the response speed, operation stability and thermal control reliability of the energy storage system before hidden failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a system flow chart of the present invention;

[0044] Figure 2 This is a flow chart of the path monitoring module of the present invention;

[0045] Figure 3 This is a flow chart of the path identification module of the present invention;

[0046] Figure 4 This is a flow chart of the abnormality marking module of the present invention;

[0047] Figure 5 This is a flow chart of the switching execution module of the present invention;

[0048] Figure 6 This is a flow chart of the path review module of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0050] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0051] See also Figure 1 , a high-efficiency liquid-cooled energy storage system comprising:

[0052] The path monitoring module obtains dynamic monitoring data from the pressure sensor in the battery cell liquid cooling main channel (real-time data collected by the pressure sensor certified by ISO international standards). Based on the pressure values within three adjacent monitoring cycles, it calculates the main channel pressure change rate and simultaneously compares the outlet pressure parameter with the outlet pressure rating (referring to the standard value of the coolant outlet pressure determined during system design) to determine whether the outlet pressure is lower than the rated value. If the pressure change rate is greater than the set pressure decay alarm threshold (derived from the system's historical operating data, usually 120% of the maximum pressure change rate under normal operating conditions) and the outlet pressure is lower than the outlet pressure rating, it is determined that the main channel has a cooling efficiency decline trend, and the energy storage cooling channel degradation status analysis results are generated;

[0053] Based on the degradation analysis results of the energy storage cooling channel, the path identification module extracts the cooling medium temperature parameters at the main channel outlet, calculates the temperature recovery rate, and compares the temperature recovery rate with the liquid temperature recovery rate threshold. If the temperature recovery rate exceeds the threshold, it marks the main channel as having a heat release accumulation trend, and generates the energy storage module thermal reflux identification result.

[0054] The abnormality marking module performs parallel status judgment based on the energy storage cooling channel degradation status analysis results and the energy storage module heat reflow identification results. If both are abnormal, the main channel will be marked as abnormal operation. If only one is true, the judgment operation will be delayed until the next acquisition cycle to repeat. The path status is determined based on whether the composite status meets the conditions at the same time, and a cooling channel failure warning signal is obtained.

[0055] Based on the cooling channel failure warning signal, the switching execution module controls the electric regulating valve group in the energy storage system to switch the main channel to the closed state, activate the flow path of the backup channel, and simultaneously start the backup path pressure and temperature dual parameter monitoring to determine whether the backup path remains within the allowable pressure and temperature fluctuation ranges, and generate a liquid cooling path switching stability record;

[0056] The path recheck module restores the periodic detection of the main channel based on the stable record of liquid cooling path conversion, continuously obtains the pressure and liquid temperature fluctuation range within the cycle, and determines whether it is stably maintained within the system design control parameter range. If the fluctuation limit conditions are met at the same time, the main channel is marked as a standby optional state, and the cooling channel is dynamically switched to generate a liquid cooling energy storage path regulation and control plan.

[0057] The analysis results of the degradation status of the energy storage cooling channel include the trend of changes in the coolant flow resistance, the local pressure abnormality area in the cooling channel, and the cooling performance fluctuation index of the main channel system. The energy storage module heat reflux identification results include the location of heat accumulation, the temperature abnormal recovery path, and the reflux heat estimation data. The cooling channel failure warning signal includes the cooling abnormality joint judgment status, the path availability failure mark, and the fault trend level label. The liquid cooling path switching stability record includes the backup channel pressure stability index, the backup channel temperature stability index, and the path switching response delay parameter. The liquid cooling energy storage path regulation and control scheme includes the main and backup path switching priority strategy, the path dynamic regulation cycle setting, and the cooling channel stability evaluation data.

[0058] See also Figure 2 , the path monitoring module includes:

[0059] The pressure data acquisition submodule collects real-time pressure monitoring data of the battery cell liquid cooling main channel through the pressure sensor, selects the inlet pressure and outlet pressure values of the continuous monitoring cycle, and records the rated value of the outlet pressure to generate a periodic pressure monitoring data set;

[0060] Based on the battery cell liquid cooling main channel in the path monitoring module, real-time pressure monitoring data obtained by the pressure sensor certified by ISO international standards is collected. First, the monitoring point location is determined. Generally, the inlet and outlet ends of the cooling main channel are selected. After the installation is completed, the system is started and each monitoring cycle is set to 5 seconds. During the collection process, a set of pressure data is generated in each cycle, including the inlet pressure and outlet pressure values. The timestamp is recorded as the data traceability identifier. For example, when the initial time at the inlet is set to 0 seconds, the corresponding pressure is 205.6kPa, and the outlet pressure is 198.4kPa. After entering the next cycle, the pressure value at the same position is obtained again to form a three-cycle data group. The collected data should be formatted in the data interface and converted into structured array storage. The storage format of each cycle is as follows: [cycle number, inlet pressure (kPa), outlet pressure (kPa), timestamp]. After collecting three cycles, the following sample data is formed:

[0061] Table 1 Three-cycle pressure data of monitoring points

[0062]

[0063]

[0064] As shown in Table 1, three cycles of continuous pressure data collection can be used for subsequent rate of change calculations. During the collection process, the collection frequency must be ensured to be no less than 0.2 times per second. The outlet pressure rating must be determined based on the system cooling design parameters. In this example, the rated value is set to 198 kPa. All pressure data is collected by a strain gauge pressure sensor installed on the inner wall of the metal flow channel. This type of sensor has a range of 0 to 300 kPa and an accuracy better than ±0.25%. The data is transmitted via the I2C interface and connected to the edge control unit. After data preprocessing is completed, it is sent to the host computer. At this point, a periodic pressure monitoring data set is obtained.

[0065] The pressure change rate calculation submodule calculates the main channel pressure change rate based on the main channel pressure values of consecutive periods in the periodic pressure monitoring data set. At the same time, it uses 1.2 times the maximum pressure change rate under normal operating conditions in the system's historical operation as the pressure decay alarm threshold to mark it, thereby obtaining the main channel pressure change rate sequence;

[0066] According to the main channel pressure values of three consecutive cycles in the periodic pressure monitoring data set, the periodic pressure value difference calculation is performed in sequence. Assume that the outlet pressures of cycles 1 to 3 are P e,1 =198.4kPa, P e,2 =197.3kPa, P e,3 =195.9kPa, first calculate the pressure change from cycle 1 to 2 as ΔP e,2 =197.3-198.4=-1.1kPa, period 2 to 3 is ΔPe,3 =

[0067] 195.9-197.3=-1.4kPa, considering the time interval is 5 seconds, the corresponding change rates are A main channel pressure change rate sequence of [-0.22, -0.28] is formed. Next, the pressure decay alarm threshold for the judgment standard is set. This is based on the maximum change rate value under normal operating conditions recorded in the system operation history. The normal value is 0.23 kPa / s, so the alarm threshold is set to 120% of it, that is, 0.23 × 1.2 = 0.276 kPa / s. By comparing the values in the change rate sequence, it is found that -0.28 kPa / s has exceeded the threshold, and then the abnormal pressure change period is marked and the pressure change rate sequence is output, finally obtaining the main channel pressure change rate sequence.

[0068] The channel effectiveness judgment submodule performs a judgment operation between the outlet pressure value and the outlet pressure rated value based on the main channel pressure change rate sequence and the periodic pressure monitoring data set, and simultaneously compares whether the pressure change rate exceeds the pressure decay alarm threshold, and uses the formula:

[0069]

[0070] Calculate the pressure drop trend T at the main channel outlet d , determine whether the trend degree is greater than 1. If so, it is determined that the main channel has a cooling efficiency decline trend, and obtain the degradation state analysis results of the energy storage cooling channel, where P e,i Represents the outlet pressure value of the i-th cycle, P r Represents the outlet pressure rating, Δt i represents the time interval between the i-th cycle and the previous cycle, ΔP e,i Represents the difference between the outlet pressure value of the i-th cycle and the previous cycle, T s Represents the pressure decay alarm threshold;

[0071] Based on the main channel pressure change rate sequence and the outlet pressure value and outlet pressure rating in the three-cycle pressure monitoring data set, a judgment operation is performed between the outlet pressure value and the outlet pressure rating. At the same time, a comparison is made to see whether the pressure change rate exceeds the pressure decay alarm threshold. The formula is used for calculation and the data is substituted into:

[0072] P e,1 =198.4kPa, P e,2 =197.3kPa, P e,3 =195.9kPa;

[0073] P r =198.0kPa, T s =0.276kPa / s;

[0074] Δt1=Δt2=Δt3=5s;

[0075] ΔP e,2 =-1.1kPa, ΔP e,3 =-1.4kPa;

[0076] Substitute and calculate item by item:

[0077] Item 1:

[0078]

[0079] Item 2:

[0080]

[0081] total:

[0082]

[0083] Finally, the main channel outlet pressure drop trend degree T is obtained d =0.315, which is significantly less than 1. This indicates that although the outlet pressure of the current main channel has decreased to a certain extent, its rate of change and pressure deviation are still within the normal fluctuation range acceptable to the system and have not yet reached the judgment standard for the cooling channel degradation trend. Therefore, within this cycle range, the energy storage cooling channel does not constitute a degradation state.

[0084] The main channel outlet pressure decline trend is a numerical indicator that measures the continuous downward trend of the outlet pressure of the battery cell liquid cooling main channel during continuous operation cycles. It is used to characterize the performance degradation that may occur in the system during the cooling process. It reflects the comprehensive result of the rate of change of the outlet pressure per unit time and the degree of its relative deviation from the design pressure level. When this indicator continues to rise or exceeds the set threshold range, it means that the flow of coolant in the main channel is obstructed, the system's heat exchange capacity is reduced, or there is a risk of leakage. This indicator can reveal the potential cooling failure trend of the system at an early stage and provide a quantitative basis for subsequent status diagnosis and maintenance.

[0085] The operational logic of the formula is to combine the pressure change rate and the relative pressure abnormality to construct a quantitative judgment on the deterioration trend of the cooling system. Express the rate of change of outlet pressure during the cycle. The absolute value ensures that the direction of change does not affect the result. Then, the square root term is used. Two key ratios are integrated: one is the ratio of outlet pressure to rated value, which measures the degree to which the system operating pressure deviates from the design standard; the other is the ratio of outlet pressure change to the historical warning threshold, which is used to characterize whether the change exceeds the system tolerance limit. The sum of these two dimensions represents the relative rationality of the current pressure state. Taking the absolute value and square root can alleviate the nonlinear interference caused by numerical fluctuations. Finally, the product of rate and relative offset is used as the abnormality measurement indicator of the cycle. The abnormal indicators within three cycles are summed and averaged to offset the influence of individual cycle disturbances and obtain the overall degradation trend of the current cooling channel of the system.

[0086] See also Figure 3 , the path identification module includes:

[0087] Based on the degradation analysis results of the energy storage cooling channel, the temperature parameter extraction submodule reads the continuous temperature monitoring data of the cooling medium at the main channel outlet during the corresponding time period through the temperature sensor, extracts the initial and final temperature values of each cycle in the continuous cycle, and calculates the temperature difference sequence of each cycle to obtain the cycle temperature difference and time series set;

[0088] Based on the analysis results of the degradation status of the energy storage cooling channel, the monitoring period range corresponding to the results is obtained, and the temperature data of the cooling medium at the outlet of the main channel during the time period is extracted from the temperature sensor acquisition record. The temperature sensor acquisition frequency is set to 1 time every 2 seconds. When extracting data, it is first sorted by timestamp to ensure that the records are continuous and stable. The three-cycle data is extracted in sections, and the starting temperature and ending temperature of each cycle are used as and Store and record the duration of each cycle Δt k , the temperature difference of each cycle is obtained by simple subtraction Generate a data set corresponding to the cycle temperature difference and time. For example, if the starting temperature of cycle 1 is 36.4°C, the ending temperature is 38.9°C, and the cycle time is 300 seconds, then the temperature difference of this cycle is 2.5°C. The processing method for the remaining cycles is the same. The collection results are as follows:

[0089] Table 2 Cycle temperature difference and time data table

[0090]

[0091]

[0092] As shown in Table 2, the periodic temperature difference and time series set are established by synchronously collecting and calculating the starting temperature, ending temperature and cycle time.

[0093] The temperature rise rate calculation submodule calculates the temperature rise rate based on the periodic temperature difference and the corresponding time length of each period in the time series set, and uses the formula:

[0094]

[0095] Calculate and output the main channel temperature recovery trend R h , where ΔT e,k Indicates the outlet temperature difference of the current k-th cycle, It represents the average temperature difference of the same historical interval. represents the historical average cycle time, and Respectively represent the start and end temperature of the current cycle, T r Indicates the temperature control design reference temperature, Q v is the unit flow temperature rise threshold, Δt k is the length of the current cycle;

[0096] According to the periodic temperature difference and time series set, the temperature difference value ΔT in each period is called e,k and cycle time Δt k , calculate the temperature recovery rate of each cycle Then introduce the historical interval average temperature difference and the average cycle length And synchronously obtain the average value of the start and end temperature of the current cycle The average value is compared with the system design temperature reference value T r Perform difference square processing and introduce the system unit flow temperature rise tolerance coefficient Q v , construct the key formula reflecting the abnormal temperature rise trend in thermal reflux identification, and set the reference values as follows:

[0097] ΔT e,k =2.9℃,

[0098] T r =36.0℃;

[0099] Q v =5.0,Δt k =300s;

[0100] Bring it into calculation:

[0101] Item 1:

[0102]

[0103] Item 2:

[0104]

[0105] Recovery rate:

[0106]

[0107] Combined:

[0108] R h =(0.0003+1.8605)×0.00967≈0.0180;

[0109] The results show that the temperature recovery trend of the main channel is 0.0180.

[0110] The main channel temperature recovery trend is a composite indicator used to quantify the rate of increase in the cooling medium temperature at the cooling channel outlet of the energy storage system over time and the degree of abnormal deviation from its thermal state. This indicator not only reflects the temperature growth rate of the cooling channel per unit time, but also combines the degree of change in the current cycle temperature difference relative to the historical stable operating conditions, as well as the degree of deviation between the cycle average temperature and the system design reference temperature. By comprehensively measuring whether the current thermal state has a trend of rapid temperature increase and away from the normal temperature control range, the greater the trend degree, the more likely it is that the main channel's temperature control performance in the current cycle will suffer from heat retention or reduced heat dissipation capacity. Therefore, this indicator can serve as an important parameter for determining whether there is thermal reflow in the energy storage module.

[0111] The operational logic of this formula is to construct the two-dimensional indicators of temperature fluctuation amplitude and deviation degree by sub-items, and weight the actual temperature rise rate in a product manner, so as to establish the responsiveness expression of the thermal reflux trend. First, through the item Reflects the degree of deviation of the current cycle temperature difference from the historical average temperature difference, and uses the average cycle time Normalization is used to evaluate the intensity of temperature fluctuations. Secondly, Describes the drift between the average temperature of the cycle and the system design reference temperature, and uses the cooling system tolerance parameter Q v Scaling, combining the above two to form the total deviation index, and then comparing it with the actual temperature rise rate of this cycle Multiplication is used to amplify the recognition sensitivity in scenarios with large offset values and fast heating rates, thereby constructing a thermal reflux recognition metric system that responds to both temperature trend intensity and system steady-state offset.

[0112] The heat reflux trend judgment submodule compares the temperature recovery trend of the main channel with the liquid temperature recovery rate threshold. If the temperature exceeds the threshold, it marks the current main channel outlet as having a heat release and accumulation trend, and obtains the energy storage module heat reflux identification result.

[0113] Based on the temperature recovery trend of the main channel, it is compared with the liquid temperature recovery rate threshold set by the system. If the current indicator value exceeds the set threshold range, it is directly determined that there is heat release and accumulation in the cooling medium at the main channel outlet. If the system judgment threshold is 0.015 and 0.0180 is greater than 0.015, it is confirmed that there is a potential trend of high heat retention. Based on this judgment, the cycle number, judgment result and indicator value are summarized and archived, and finally the thermal reflux identification result of the energy storage module is obtained.

[0114] See also Figure 4 , the exception marking module includes:

[0115] The state judgment submodule determines whether the current cycle is in an abnormal state based on the analysis results of the energy storage cooling channel degradation state and the energy storage module heat reflow identification results. If both are abnormal, it is determined that there is a parallel abnormal trend in the current cycle and a parallel abnormal state flag is generated;

[0116] Based on the analysis results of the degradation state of the energy storage cooling channel and the thermal reflux identification results of the energy storage module, the abnormal state Boolean value corresponding to the current acquisition cycle is extracted. The degradation state value of the energy storage cooling channel is set as parameter A, and the thermal reflux identification state value is set as parameter B. They are assigned values of 0 (indicating normal) or 1 (indicating abnormality) respectively. The acquisition method is to read the state field value output by the upper cooling monitoring data processing module. For example, in the 10th cycle, the system obtains the state combination of A=1 and B=1, indicating that the two independent sub-modules in the current cycle are both abnormal states. The system establishes and The column status recognition process judges the combination of A and B values. If A=1 and B=1, the current cycle is marked as a parallel abnormal state cycle. If only one of A and B is 1, the system recognizes the current cycle as a "non-parallel abnormal" state and does not directly process it. It only enters the next cycle to continue the judgment process. This processing can avoid misjudgment caused by instantaneous jitter. Taking cycle 11 as an example, if A=1 and B=0 are obtained in this cycle, it is judged as a non-parallel abnormality and the record status remains unchanged. The system establishes a state tracking structure array for each acquisition cycle. The fields in the structure array are as follows:

[0117] Table 3 Parallel abnormality judgment structure record table

[0118] Cycle Number Deterioration status mark (A) Thermal reflow status mark (B) Parallel exception mark 10 1 1 yes 11 1 0 no 12 1 1 yes

[0119] As shown in Table 3, the combination of A=1 and B=1 appears in both the 10th and 12th cycles. During the state judgment process, the system can obtain a parallel abnormal state identification based on the judgment structure record.

[0120] The conditional screening submodule applies an abnormal operation flag to the main channel according to the parallel abnormal state flag, and records the current cycle number and state flag. If only a single abnormal state exists in the current cycle, it is recorded as a delayed judgment cycle and the path state judgment result is obtained;

[0121] According to the obtained parallel abnormal status identification, the current cycle status is screened and judged. If the status is "yes", the main channel abnormal operation identification write operation is executed immediately. The main control module writes the current cycle number and identification status into the abnormal status control table. If the status is "no", the current cycle number is added to the delayed judgment queue. The queue structure records the timestamp and the previous parallel abnormal cycle number, and waits for the subsequent acquisition cycle to enter the judgment process again to complete the periodic screening operation. For example, if the judgment result of cycle 11 is no, the system does not process it immediately, but after the judgment is executed in cycle 12, it constitutes a linkage judgment together with the previous cycle. The system completes the linkage judgment logic by reading the previous cycle status in the delay judgment queue and combining it with whether the current cycle is in the "yes" state. When two consecutive cycles are "no" and "yes" respectively, the system records the path status as "intermittent abnormal". If two consecutive cycles are both "yes", the system records the path status as "continuous abnormal". If both cycles are "no", the system marks it as "normal". Based on this judgment logic, a path status judgment result field is established, and its value type is an enumeration value (0: normal, 1: intermittent abnormal, 2: continuous abnormal). Finally, this field is output after each judgment is completed to obtain the path status judgment result.

[0122] The warning signal generation submodule determines the path status based on the results. If both the current cycle and the previous cycle are in a parallel abnormal state and the delayed judgment no longer persists, it confirms that the current path has a continuous fault trend, binds the main channel number and the collection cycle information, and generates a cooling channel failure warning signal.

[0123] Based on the results of the path status judgment, the system reads the number of consecutive abnormal status records. When the continuous abnormal status reaches 2 times or more, that is, the path status appears as "2" for two consecutive cycles, the control system will write a status code instruction to the main control channel and synchronously trigger the cooling channel abnormal signal identification generation process. The specific process is to create a new record in the fault warning buffer. The fields include the main channel number, the starting abnormal cycle number, the current cycle number, the abnormal status type code, the abnormal intensity level (set to 1 by default), and set the alarm output interface trigger flag. After the control system completes the operation, it writes the record into the abnormal status event pool and then reports it to the upper system control layer. The flag signal is transmitted to the thermal management scheduling module in byte stream encoding and used to activate the linkage control logic, and finally generates a cooling channel failure warning signal in the status list.

[0124] See also Figure 5, the switching execution module includes:

[0125] Based on the cooling channel failure warning signal, the valve group control submodule writes the status of the electric regulating valve group, sets the main channel control instruction to close, and simultaneously sets the control instruction of the backup channel regulating valve to open, generating a channel switching execution record;

[0126] Based on the cooling channel failure warning signal, the fault signal flag field and current channel status control code of the main control system are obtained, and the status of the electric control valve group configured in the energy storage system is written. The main channel control instruction is set to close. When executing the closing action, the shutdown feedback confirmation must be completed, and the closing time shall not exceed 1 second. Subsequently, the control instruction of the backup channel control valve is synchronously set to open, and the completion of the instruction writing is verified. The control valve number should be provided by the system preset structure table. For example, the main channel number is set to A01 and the backup channel number is set to B01. The following state transition instructions are recorded in the state control table:

[0127] Table 4 Channel valve group switching control table

[0128] Channel number Control Status Instruction Type Operation time (ms) A01 closure Main channel cut off 800 B01 Open Backup channel enabled 950

[0129] As shown in Table 4, after the control valve state conversion is completed, the channel state flag is set to "alternative path activated" and a channel switching execution record is generated.

[0130] The channel activation submodule activates the monitoring channel node of the standby channel according to the channel switching execution record, collects the pressure and temperature signal data of the coolant in the standby path, and obtains the dual-parameter monitoring data group of the standby channel;

[0131] According to the channel switching execution record, the monitoring channel node of the backup channel is activated to collect the pressure and temperature signal data of the coolant in the backup path. The collection frequency is once per second. At the same time, 10 groups of data are collected within 5 seconds after the activation is completed to establish a time series data group of pressure and temperature. The data collection structure is recorded in array format as follows: t With T t , respectively represent the pressure and temperature values. For example, the pressure data corresponding to each time point obtained during the acquisition process are

[0132] 195.2, 194.7, 195.6, 194.9, 195.0 kPa, and the temperature data are 36.1, 36.3, 36.0, 36.4, 36.2 °C respectively. During the acquisition process, the corresponding channel number and the corresponding number of the sensor channel are written into the channel activation structure list to obtain the backup channel dual-parameter monitoring data group.

[0133] The fluctuation judgment submodule performs statistical analysis on the pressure and temperature data based on the backup channel dual-parameter monitoring data set, and compares them with the set pressure and temperature fluctuation allowable ranges. If all remain within the allowable range, it is recorded as a fluctuation stability period. The percentage of fluctuation stability periods is calculated to determine whether the stability conditions are met and generate a liquid cooling path switching stability record.

[0134] According to the backup channel dual-parameter monitoring data group, the maximum value, minimum value, range, mean and standard deviation of the pressure sequence data and the temperature sequence data are calculated respectively, and compared with the allowable range of pressure fluctuation and the allowable range of temperature fluctuation set by the system. For example, the allowable range of pressure fluctuation is ±1.0kPa, and the allowable range of temperature fluctuation is ±0.5℃. If any parameter in the data exceeds the allowable range, it is recorded as an abnormal fluctuation period. If all are maintained within the allowable range, it is recorded as a fluctuation stability period. The proportion of the number of fluctuation stability periods is counted to determine whether the stability conditions are met. For example, if 4 out of 5 groups of data meet the requirements that the pressure and temperature do not exceed the standard at the same time, the stability ratio is 80%, and the system set threshold is 70%. The current channel state is judged to be "stable switching", and finally a liquid cooling path switching stability record is generated.

[0135] See also Figure 6 , the path recheck module includes:

[0136] The main channel detection submodule reactivates the main channel data acquisition process based on the liquid cooling path switching stability record, collects the coolant pressure and liquid temperature data in continuous cycles, and establishes the main channel periodic monitoring parameter set;

[0137] Based on the stability record of the liquid cooling path switching, the pressure and liquid temperature collection process of the main channel was restored. The acquisition system activated the dual-parameter sensor group on the main channel according to the control module instruction, set the data collection cycle to once every 10 seconds, and ran for three consecutive cycles, collecting a total of 30 seconds of cooling medium pressure and liquid temperature data. The sensor calibration range is 0–300kPa and 0–100℃, with a resolution of 0.1kPa and 0.1℃ respectively. During the data collection process, the start time, end time, maximum value, minimum value and average value of each cycle were recorded to form a complete sampling record array within the cycle. The acquisition result example is as follows:

[0138] Table 5 Main channel periodic pressure and temperature monitoring table

[0139] Cycle Number Maximum pressure (kPa) Minimum pressure (kPa) Maximum temperature (℃) Minimum temperature (℃) 1 204.8 203.7 36.5 36.0 2 205.1 203.9 36.6 36.2 3 204.5 203.8 36.3 36.1

[0140] As shown in Table 5, the pressure fluctuation range is concentrated within 1.2 kPa, and the temperature fluctuation range is concentrated within 0.5 °C. After the data set is completed, it is submitted to the monitoring and judgment module in array form to establish the main channel periodic monitoring parameter set.

[0141] The fluctuation screening submodule performs difference calculations on the maximum and minimum pressure and liquid temperature values within each cycle based on the main channel periodic monitoring parameter set, calculates the relative fluctuation rate based on the average value, analyzes the fluctuation, and obtains the stable maintenance status record of the main channel;

[0142] According to the main channel period monitoring parameter set, call the maximum and minimum pressure values, and the maximum and minimum temperature values of each period, perform subtraction operations respectively, obtain the pressure range and temperature range of each period, and then calculate the relative fluctuation rate based on the range and the average value within the period. For example, the pressure range in period 1 is 204.8-203.7=1.1kPa, and the temperature range is 36.5-36.0=0.5℃. If the allowable range of system pressure fluctuation is ±1.2kPa and the allowable range of temperature fluctuation is ±0.6℃, then the pressure range in period 1 is Both force and temperature meet the limit conditions. Similarly, the pressure range in cycle 2 is 1.2kPa, and the temperature range is 0.4℃. The pressure range in cycle 3 is 0.7kPa, and the temperature range is 0.2℃, which are all within the limit. Therefore, the judgment results of cycles 1-3 are all "controlled". The system counts that there are 3 compliant cycles in the 3 cycles, the total number of cycles is 3, and the stability ratio is 100%, which is higher than the set stability judgment threshold of 70%. It is determined that the data of the main channel in this stage shows a stable maintenance state, and a record of the stable maintenance state of the main channel is obtained.

[0143] The channel control submodule records the stability of the main channel. If the main channel is stable, it marks the main channel as a switchable backup path channel and starts channel control at the same time, switching the current cooling channel path control state and generating a liquid cooling energy storage path control scheme.

[0144] According to the stable maintenance status record of the main channel, if the statistical result is "stable maintenance", the current main channel status is adjusted from "fault closed" to "standby optional". The operating system writes the status code into the path status mapping table and writes the main channel identifier to the path control module. The current cycle number and the channel number are recorded together as the "adjustable path identifier set". This identifier set is used for control logic judgment and scheduling calculation. The system then makes channel switching judgments based on the current operating status of the backup channel and combines the channels into a path priority comparison queue. If the current pressure fluctuation of the backup channel has begun to approach the upper limit or the liquid temperature shows an asymmetric change trend, the main channel will be re-placed into the path selection range in the next scheduling cycle to form a new path arrangement structure, and finally establish a liquid-cooled energy storage path regulation control scheme.

[0145] A high-efficiency liquid-cooled energy storage control method comprises the following steps:

[0146] S1: Obtain the periodic pressure monitoring value of the main channel, determine whether the current outlet pressure is lower than the rated outlet pressure, analyze the pressure change rate trend, and generate the energy storage cooling channel degradation status analysis results;

[0147] S2: Based on the degradation analysis results of the energy storage cooling channel, the main channel outlet liquid temperature is extracted, the temperature difference between the current and previous cycles is calculated, the heating rate trend is determined, and the energy storage module thermal reflux identification results are generated;

[0148] S3: Based on the analysis results of the energy storage cooling channel degradation status and the energy storage module heat reflow identification results, a simultaneous determination is made as to whether there are simultaneous abnormalities, the abnormal combination status is identified, and a cooling channel failure warning signal is generated;

[0149] S4: Based on the cooling channel failure warning signal, the main channel is closed and the backup path is activated. The pressure and temperature fluctuation range of the backup channel is monitored, and a liquid cooling path switching stability record is generated.

[0150] S5: Based on the liquid cooling path switching stability record, the main channel detection is restored, the fluctuation data in the continuous cycle is collected, and it is determined whether it is stable and maintained within the control range, and the liquid cooling energy storage path regulation control plan is generated.

[0151] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A high-efficiency liquid-cooled energy storage system, characterized by: The system comprises: The path monitoring module obtains the pressure sensor data of the battery cell liquid cooling main channel, calculates the main channel pressure change rate, compares the outlet pressure parameter with the outlet pressure rating, determines whether there is a cooling efficiency decline trend in the main channel, and generates the energy storage cooling channel degradation status analysis results; The path identification module calculates the main channel temperature recovery rate based on the degradation state analysis results of the energy storage cooling channel, compares it with the liquid temperature recovery rate threshold, determines whether there is a heat release accumulation trend in the main channel, and generates the energy storage module heat reflux identification result; The abnormality marking module performs a parallel status judgment based on the degradation status analysis result of the energy storage cooling channel and the thermal reflux identification result of the energy storage module. If both are abnormal, the main channel is marked as abnormal operation to obtain a cooling channel failure warning signal; The switching execution module switches the main channel to a closed state based on the cooling channel failure warning signal, activates the flow path of the backup channel, and simultaneously starts the backup path pressure-temperature monitoring to determine whether the backup channel is maintained within the allowable range of pressure fluctuation and temperature fluctuation, and generates a liquid cooling path switching stability record.

2. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The energy storage cooling channel degradation status analysis results include the coolant flow resistance change trend, the local pressure abnormality area in the cooling channel, and the main channel system cooling performance fluctuation index. The energy storage module heat backflow identification results include the heat accumulation formation location, the abnormal temperature recovery path, and the backflow heat estimation data. The cooling channel failure warning signal includes the cooling anomaly joint judgment status, the path availability failure indicator, and the fault trend level label. The liquid cooling path switching stability record includes the backup channel pressure stability index, the backup channel temperature stability index, and the path switching response delay parameter.

3. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The path monitoring module includes: The pressure data acquisition submodule collects real-time pressure monitoring data of the battery cell liquid cooling main channel through the pressure sensor, selects the inlet pressure and outlet pressure values of the continuous monitoring cycle, and records the rated value of the outlet pressure to generate a periodic pressure monitoring data set; The pressure change rate calculation submodule calculates the main channel pressure change rate based on the periodic pressure monitoring data set, and marks the pressure decay alarm threshold to obtain the main channel pressure change rate sequence; The channel efficiency judgment submodule performs a judgment operation between the outlet pressure value and the outlet pressure rated value based on the main channel pressure change rate sequence and the periodic pressure monitoring data set, synchronously compares whether the pressure change rate exceeds the pressure decay alarm threshold, and calculates the main channel outlet pressure decrease trend, determines whether the main channel has a cooling efficiency decrease trend, and obtains the energy storage cooling channel degradation status analysis results.

4. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The path identification module includes: The temperature parameter extraction submodule reads the continuous temperature monitoring data of the cooling medium at the outlet of the main channel in the corresponding time period through the temperature sensor based on the degradation state analysis results of the energy storage cooling channel, and calculates the temperature difference sequence of each cycle to obtain the cycle temperature difference and time series set; The temperature rise rate calculation submodule calculates the temperature rise rate based on the periodic temperature difference and each periodic temperature difference and the corresponding time length in the time series set, and calculates and outputs the main channel temperature rise trend degree; The heat reflux trend judgment submodule compares the temperature recovery trend of the main channel with the liquid temperature recovery rate threshold. If the temperature exceeds the liquid temperature recovery rate threshold, it is marked that there is a heat release and accumulation trend at the current main channel outlet, and the heat reflux identification result of the energy storage module is obtained.

5. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The abnormal marking module includes: The state judgment submodule judges whether the current cycle is in an abnormal state based on the energy storage cooling channel degradation state analysis result and the energy storage module heat reflow identification result. If both are abnormal, it is determined that there is a parallel abnormal trend in the current cycle, and a parallel abnormal state identifier is generated; The condition screening submodule applies an abnormal operation flag to the main channel according to the parallel abnormal state flag, and records the current cycle number and state flag. If only a single abnormal state exists in the current cycle, it is recorded as a delayed judgment cycle, and the path state judgment result is obtained; The warning signal generation submodule determines the path status based on the result. If the current cycle and the previous cycle are both in a parallel abnormal state and the delayed judgment no longer continues, it is confirmed that the current path has a continuous fault trend, the main channel number and the collection cycle information are bound, and a cooling channel failure warning signal is established.

6. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The switching execution module includes: The valve group control submodule performs a status write operation on the electric regulating valve group based on the cooling channel failure warning signal, sets the main channel control instruction to be closed, and simultaneously sets the control instruction of the standby channel regulating valve to be open, and generates a channel switching execution record; The channel activation submodule activates the monitoring channel node of the standby channel according to the channel switching execution record, collects the pressure and temperature signal data of the coolant in the standby path, and obtains the standby channel dual-parameter monitoring data group; The fluctuation judgment submodule performs statistical analysis on the pressure data and temperature data based on the backup channel dual-parameter monitoring data group, and compares them with the set pressure fluctuation allowable range and temperature fluctuation allowable range. If all are maintained within the allowable range, it is recorded as a fluctuation stability period, and the proportion of the fluctuation stability period is calculated to determine whether the stability conditions are met and generate a liquid cooling path switching stability record.

7. The high-efficiency liquid-cooled energy storage system according to claim 1, characterized in that: The system further comprises: The path recheck module, based on the stable record of the liquid cooling path conversion, resumes periodic detection of the main channel, continuously obtains the pressure and liquid temperature fluctuation range within the cycle, and determines whether it is stably maintained within the control parameter range. If the fluctuation limit conditions are met at the same time, the main channel is marked as a standby optional state, and the cooling channel is dynamically switched to generate a liquid cooling energy storage path regulation and control plan; The liquid-cooled energy storage path regulation and control scheme includes a primary-backup path switching priority strategy, a path dynamic regulation cycle setting, and cooling channel stability evaluation data.

8. The high-efficiency liquid-cooled energy storage system according to claim 7, characterized in that: The path recheck module includes: The main channel detection submodule reactivates the data acquisition process of the main channel based on the liquid cooling path switching stability record, collects the coolant pressure and liquid temperature data in a continuous cycle, and establishes a main channel periodic monitoring parameter set; The fluctuation screening submodule performs difference calculation on the maximum and minimum values of pressure and liquid temperature in each cycle according to the main channel periodic monitoring parameter set, calculates the relative fluctuation rate based on the average value, analyzes the fluctuation situation, and obtains the stable maintenance state record of the main channel; The channel control submodule records the stable maintenance status of the main channel. If it is determined that the main channel state is stable, the main channel is marked as a switchable backup path channel, and channel control is started at the same time, the current cooling channel path control state is switched, and a liquid-cooled energy storage path control scheme is generated.

9. A high-efficiency liquid-cooled energy storage control method, characterized in that: The method is used to implement the high-efficiency liquid-cooled energy storage system according to any one of claims 1 to 8, comprising the following steps: S1: Obtain the periodic pressure monitoring value of the main channel, determine whether the current outlet pressure is lower than the rated outlet pressure, analyze the pressure change rate trend, and generate the energy storage cooling channel degradation status analysis results; S2: Based on the degradation analysis results of the energy storage cooling channel, extract the main channel outlet liquid temperature, calculate the temperature difference between the current and previous cycles, determine the heating rate trend, and generate the energy storage module heat reflow identification results; S3: Based on the analysis result of the degradation state of the energy storage cooling channel and the identification result of the heat reflow of the energy storage module, determining whether there are simultaneous abnormalities, identifying the abnormal combination state, and generating a cooling channel failure warning signal; S4: According to the cooling channel failure warning signal, the main channel is closed and the backup path is activated, the pressure and temperature fluctuation range of the backup channel is monitored, and a liquid cooling path switching stability record is generated; S5: Based on the liquid cooling path switching stability record, the main channel detection is restored, the fluctuation data in the continuous cycle is collected, and it is determined whether it is stably maintained within the control range, and a liquid cooling energy storage path regulation and control plan is generated.

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