Energy storage equipment temperature control power supply control method, energy storage equipment and computer equipment

Abstract

The invention relates to an energy storage equipment temperature control power supply control method, energy storage equipment and computer equipment. According to the application, mutual influence of current distribution and temperature control can be brought into conjoint analysis, so that power supply and heat dissipation target conflicts and an oscillation phenomenon caused by negative feedback circulation can be effectively relieved, and coordinated optimization of system power supply and temperature control in the internal space of the energy storage equipment is realized; the temperature and electricity cooperative control quantity is obtained through adjustment based on the power supply health levels of the power supply modules, the temperature and electricity cooperative control quantity matched with the power supply health levels is considered, the method can adapt to uneven loads between the power supply modules, local thermal coupling and internal space environment changes of energy storage equipment, temperature and current distribution of the power supply modules tends to be balanced, and the reliability of the power supply modules is improved. Local overheating or overcurrent risks are avoided, power failure or faults of the power module caused by abnormal temperature or power consumption are reduced, and the reliability and stability of energy storage equipment are improved.

Description

Technical Field

[0001] This application relates to the field of energy storage equipment technology, and in particular to a temperature control power supply control method for energy storage equipment, energy storage equipment, and computer equipment. Background Technology

[0002] When using energy storage devices, power supply and temperature control are crucial for ensuring stable operation. Existing energy storage power supply systems typically distribute current to at least one external device via a power module. However, the power module's current supply to this external device is susceptible to short-term load fluctuations, causing current variability. To buffer these fluctuations, capacitor units are installed within the power module and connected to the power supply unit. Similarly, the temperature control system often uses fans or liquid cooling plates for heat dissipation, adjusting the power module's temperature through a unified airflow or zoned temperature control. Furthermore, the power module's output current is also affected by its temperature, making it difficult to accurately assess the energy storage device's stability and quantify risk levels. This results in low accuracy and poor reliability in risk assessments of energy storage devices.

[0003] The power module's output current is affected by the temperature control system. The power supply system's response speed is typically in the microsecond range, while the cooling system's response speed is in the millisecond range. There is a significant difference in their response speeds. Under sudden load conditions, the power module may overheat instantaneously, triggering frequency reduction protection and causing performance degradation. At the same time, in the compact internal space of energy storage devices, fixed phase interleaving or parallel power supply designs and overall cooling systems are difficult to cope with asymmetrical loads and local thermal coupling effects, easily leading to uneven temperature and current distribution among power modules. In addition, existing solutions lack analysis of the electro-thermal interaction within energy storage devices, ignoring thermal interference, electrothermal effects, and environmental heat absorption effects within the internal space of energy storage devices. This can easily form a negative feedback loop, leading to temperature control and power supply imbalances, and posing risks of local overheating and overcurrent. Summary of the Invention

[0004] Based on this, a temperature-controlled power supply method for energy storage devices, an energy storage device, and a computer device are provided to solve the technical problems of frequency reduction protection caused by instantaneous overheating of the power module in energy storage devices and uneven temperature and current distribution among power modules in related technologies.

[0005] This application provides a temperature-controlled power supply method for an energy storage device, wherein the energy storage device includes multiple power modules and a temperature control unit, and the power modules include a power supply unit and a capacitor unit. The method includes: The power module's output current data is collected, anomalies in the output current data are identified, outliers and clusters in the anomalies are obtained, and outlier index and cluster index are determined based on the outliers and clusters. The outlier index and cluster index are fused to obtain the scatter index of the anomalies, and the power supply health level of the power module is determined based on the scatter index. Collect real-time temperature data of the power module and capacitor status information of the capacitor unit, and generate first output current allocation parameters based on the output current data, the real-time temperature data and the capacitor status information; Based on the real-time temperature data, the first temperature control parameter of the temperature control unit is determined; The temperature-electricity coordinated control quantity is obtained by jointly analyzing the first output current distribution parameter and the first temperature control parameter, and the temperature-electricity coordinated control quantity is adjusted based on the power supply health level of the power module. The second output current distribution parameter and the second temperature control parameter are generated based on the temperature-electricity coordinated control quantity. The power supply unit is controlled based on the second output current distribution parameter, and the temperature control unit is controlled based on the second temperature control parameter.

[0006] In one embodiment, the steps of collecting the output current data of the power module, identifying anomalies in the output current data, obtaining outliers and clusters among the anomalies, determining an outlier index and a clustering index based on the outliers and clusters, fusing the outlier index and the clustering index to obtain a scatter index of the anomalies, and determining the power supply health level of the power module based on the scatter index include: The output current data of the power module is collected, and the output current data is preprocessed to obtain preprocessed output current data. The time-domain, frequency-domain, and nonlinear indices of the preprocessed output current data at each time step are obtained. The preprocessed output current data is mapped into three-dimensional points in a three-dimensional coordinate system. The three-dimensional points corresponding to the preprocessed output current data are used to form a set of power supply current data points. A three-dimensional power supply scatter plot is drawn based on the power supply current data point set. The three-dimensional points in the three-dimensional power supply scatter plot are analyzed to identify abnormal points in the output current data and obtain outliers and clusters among the abnormal points. Calculate the scatter index of the outliers based on the outliers and clusters; The power supply health level of the power module is set to include a first level, a second level, and a third level; When the scatter index is within a first preset value range, the power supply health level of the power module is determined to be the first level; When the scatter index is within the second preset value range, the power supply health level of the power module is determined to be the second level; When the scatter index is within the third preset value range, the power supply health level of the power module is determined to be level three.

[0007] In one embodiment, the step of drawing a three-dimensional power supply scatter plot based on the power supply current data point set, analyzing the three-dimensional points in the three-dimensional power supply scatter plot, identifying outliers in the output current data, and obtaining outliers and clusters among the outliers includes: Let the i-th data point in the power supply current data point set be P. i = (X i Y i Z i The set of power supply current data points is P = {P1, P2, ..., P...} N}, where X i Y represents the time-domain index of the i-th data point, where the time-domain index is the standard deviation of the N-N interval. i Z represents the frequency domain index of the i-th data point, which is the ratio of low-frequency power to high-frequency power. i This represents the nonlinear index of the i-th data point, where the nonlinear index is an approximate entropy. Use the data points in the power supply current data point set as three-dimensional points to draw a three-dimensional power supply scatter plot; Obtain normal current data of the healthy power module and establish a three-dimensional confidence ellipse; Mahalanobis distance is used to measure the deviation D between each 3D point in the 3D power supply scatter plot and the mean of the scatter points in the 3D confidence ellipse, where the deviation D of the i-th data point from the mean of the scatter points in the 3D confidence ellipse is... i for , where μ is the scatter mean of the health power module, representing the center position of the normal current data, ∑ is the covariance matrix, and T is the transpose operator; Set as the critical value of the chi-square distribution with 3 degrees of freedom and a confidence level of 95%. The degree of deviation is compared with the determination threshold. When the degree of deviation is greater than the determination threshold, the three-dimensional point corresponding to the degree of deviation is determined to be an abnormal point; The outliers are divided into outliers and clusters. The outliers are... The aggregation points are C = {C1, C2, ..., C}. k}, C k ={P i |dist(P i C k)≤ε}, where parameter ε=0.1×Median(D), MinPts=5; The outlier index OI is set to measure the proportion of outliers in the total data points: OI=|O| / N, where N is the total number of data points; A clustering index (CI) is set to measure the degree of clustering of the cluster points: ; The CSI (Dispersion Index) is obtained by fusing the outlier index and the clustering index: CSI = α × OI + β × CI, where α and β are weights, satisfying α + β = 1. The values ​​of weights α and β are obtained by minimizing... Determine, y n For status labels, y n =0 indicates normal, y n =1 indicates an exception.

[0008] In one embodiment, adjusting the temperature-electricity coordinated control quantity based on the power supply health level of the power module includes: When the power supply health level of the power module is the first level, the temperature-electricity coordinated control quantity is set to be multiplied by a first multiple, where the first multiple is less than one. When the power supply health level of the power module is level two, the temperature-electricity coordinated control quantity is set to remain unchanged; When the power supply health level of the power module is level three, the temperature-electricity coordinated control quantity is set to be multiplied by a second multiple, where the second multiple is greater than one.

[0009] In one embodiment, generating the first output current allocation parameter based on the output current data, the real-time temperature data, and the capacitor state information includes: The real-time currents of the first and second power modules included in the power supply module are obtained, and the basic phase difference of the dual power supply modules is determined based on the real-time currents of the first and second power modules. Among them, I A I represents the real-time current of the first power supply module. B K represents the real-time current of the second power supply module. imbal K is the load imbalance coefficient. imbal =ρ+δ×tanh(ω×I rated ×|I A -I B |), where tanh() is the hyperbolic tangent function, I rated This represents the rated current of the power module, ρ is the reference load imbalance coefficient, δ is the floating base of the load imbalance coefficient, and tanh(ω×I) is the reference load imbalance coefficient. rated ×|I A-I B |) represents the floating weight caused by the current difference, and ω is the adjustment coefficient; A dual power module temperature compensation term is generated based on the temperature difference between the first power module and the second power module. Among them, T A T represents the temperature of the first power module. B The temperature of the second power module is represented by T. thresh This represents the temperature difference threshold of the dual power supply module, and sgn() is the sign function used to determine the direction of the temperature difference; A capacitance compensation term is generated based on the ratio of the real-time voltage to the rated voltage of the capacitor unit. Wherein, Vcap represents the real-time voltage of the capacitor unit, and Vnom represents the rated voltage of the capacitor unit; The output phase difference of the dual power supply module is obtained by superimposing the basic phase difference of the dual power supply module, the temperature compensation term of the dual power supply module, and the capacitance compensation term of the dual power supply module. ; The output phase difference of the dual power supply module is used as the output phase difference of the power supply units of the first power supply module and the second power supply module; Based on the power module current phase in the current balance state, a corresponding reference phase is set; The phase deviation is obtained by calculating the difference between the output phase difference and the reference phase. Calculate the ratio of the phase deviation to the preset scaling factor, and multiply it by the preset phase deviation sensitivity coefficient to obtain the phase correction value of the power module; The phase correction value of the power module is added to the preset constant offset value to obtain the current adjustment coefficient corresponding to the power module; The current adjustment coefficient is normalized based on the current total load current of the multiple power modules. The normalized current adjustment coefficient is multiplied sequentially by the rated current of the corresponding power module to obtain multiple current reference values ​​of the power modules, which are then used as the first output current allocation parameter.

[0010] In one embodiment, the temperature control unit includes a fan array consisting of multiple deflecting fans, and determining the first temperature control parameter of the temperature control unit based on the real-time temperature data includes: The real-time temperature data is analyzed to determine the real-time temperature of multiple power modules, and each is compared with a preset temperature threshold. If the real-time temperature of the power module is less than or equal to the preset temperature threshold, the power module is determined to be normal, and multiple deflection fans are set to operate according to preset room temperature operating parameters. If the real-time temperature of the power module is greater than the preset temperature threshold, the power module is determined to be overheated, and the difference between the real-time temperature of the power module and the preset temperature threshold is taken as the cooling requirement. The cooling demand is mapped to a target airflow for airflow control. ;in, Let Ks represent the target airflow of the s-th power module, Ks be the airflow-heat dissipation empirical coefficient of the s-th power module, ΔTs represent the relationship between the temperature change of the corresponding power module and the required heat dissipation airflow, and ΔTs represent the cooling requirement of the s-th power module. In the fan array, the position of the r-th deflection fan is denoted as p. r Rated air volume is recorded as The rated speed is denoted as The position of the s-th power module within the energy storage device is denoted as n. s ; With the s-th power module as the center position, select M deflection fans from the fan array whose distance from the s-th power module is less than or equal to a preset distance threshold. When the speed of the deflection fan is set to S r The deflection angle is set to θ. r When the effective airflow of the r-th deflection fan to the s-th power module is expressed as: ; where v sr (S r ,θ r Let be the effective airflow of the r-th deflection fan to the s-th power module, and angle(n) be the effective airflow of the r-th deflection fan to the s-th power module. s -p r D represents the direction angle of the line connecting the r-th deflection fan and the s-th power module. sr Let γ represent the distance between the r-th deflection fan and the s-th power module, where γ is the angle influence coefficient and is a positive empirical number. η is the distance attenuation coefficient of airflow within the internal space of the energy storage device. r This refers to the fan efficiency coefficient; The total air volume received by the s-th power module is Where M is the number of deflection fans selected for the s-th power module, and V s Let be the total air volume received by the s-th power module; Deflection angle adjustment parameters are generated based on the distribution positions of the multiple deflection fans associated with the power module to form an airflow convergence zone at the overheated power module. Based on the rated power and total air volume of the multiple deflection fans associated with the power module, determine the speed adjustment parameters corresponding to the multiple deflection fans; The normal temperature operating parameters, speed adjustment parameters, and deflection angle adjustment parameters of the multiple deflecting fans in the fan array are integrated as the first temperature control parameter.

[0011] In one embodiment, the joint analysis of the first output current allocation parameter and the first temperature control parameter to obtain the temperature-electricity coordinated control quantity includes: The power module's allocated current value is obtained based on the first output current allocation parameter. The equivalent resistance of the power module is obtained. The difference between the corresponding allocated current value and the current current of the power module is combined to determine the predicted power consumption change of the power module. Based on the first temperature control parameter, predict the predicted heat dissipation of the power module when the temperature control unit executes the first temperature control parameter. The predicted power consumption change and the predicted heat dissipation are input into a pre-constructed thermal coupling model of the internal space of the energy storage device. Combined with the heat absorption factor of the internal space environment of the energy storage device, the predicted power supply temperature of the power module is generated. The predicted power supply temperature of the power module is... Among them, T s (t) represents the current temperature of the s-th power module, t represents the current time, and t+1 represents the time of the next measurement cycle. ΔP represents the predicted power supply temperature of the s-th power module. s γ represents the predicted power consumption change of the s-th power module, Cs is the heat capacity of the s-th power module, and γ sk H is the thermal coupling coefficient between the s-th power module and the k-th power module. env (t) represents the heat absorption factor of the internal space environment of the energy storage device. This is a saturation function used to characterize the marginal effect of heat dissipation; The power temperature deviation of the power module is generated based on the difference between the predicted power temperature and the preset target temperature of the power module. Calculate the temperature-electricity coordinated control quantity corresponding to the power supply module based on the power supply temperature deviation.

[0012] In one embodiment, generating the second output current allocation parameter and the second temperature control parameter based on the temperature-electricity coordinated control quantity includes: By analyzing the temperature-electricity coordinated control quantities, the power module current fine-tuning quantity and temperature control fine-tuning quantity are obtained; The first output current allocation parameter of the power supply unit is corrected according to the current fine-tuning amount of the power module to obtain the intermediate output current allocation parameter; The first temperature control parameter of the temperature control unit is corrected according to the temperature control fine-tuning amount to obtain the intermediate temperature control parameter; The intermediate output current allocation parameters and the intermediate temperature control parameters are iteratively analyzed together. Each iteration uses the power supply predicted temperature and power module current phase of the previous round as input until the power supply temperature deviation of multiple power modules is less than the stable threshold and the current phase difference of the corresponding power modules is less than the first threshold. The intermediate output current allocation parameters and the intermediate temperature control parameters obtained through iterative convergence are used as the second output current allocation parameters and the second temperature control parameters.

[0013] On the other hand, an energy storage device is provided, including multiple power modules and a temperature control unit. The power modules include a power supply unit and a capacitor unit. The energy storage device is used to implement the steps of the energy storage device temperature control power supply control method described above.

[0014] In another aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of a temperature control power supply control method for an energy storage device.

[0015] The aforementioned energy storage device temperature control power supply control method, energy storage device, and computer equipment, by incorporating the mutual influence of current distribution and temperature control into a joint analysis, can effectively alleviate the conflict between power supply and heat dissipation targets and the oscillation phenomenon caused by negative feedback loops. It achieves coordinated optimization of system power supply and temperature control within the internal space of the energy storage device, and obtains temperature-electricity coordinated control quantities based on the power supply health level of the power modules. The temperature-electricity coordinated control quantities that are compatible with the power supply health level can adapt to uneven load between power modules, local thermal coupling, and changes in the internal space environment of the energy storage device, so that the temperature and current distribution of each power module tends to be balanced, avoiding the risk of local overheating or overcurrent, and reducing the power module power outages or failures caused by abnormal temperature or power consumption, thereby improving the reliability and stability of the energy storage device. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of a temperature control and power supply control method for an energy storage device in one embodiment of this application; Figure 2 This is an internal structural diagram of a computer device in one embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0019] In one embodiment, such as Figure 1 As shown, a method for temperature-controlled power supply of an energy storage device is provided. The energy storage device includes multiple power modules and a temperature control unit. Each power module includes a power supply unit and a capacitor unit. The method includes the following steps: Step S10: Collect the output current data of the power module, identify abnormal points in the output current data, obtain outliers and clusters in the abnormal points, determine the outlier index and cluster index based on the outliers and clusters, fuse the outlier index and cluster index to obtain the scatter index of the abnormal points, and determine the power supply health level of the power module based on the scatter index. Step S20: Collect the real-time temperature data of the power module and the capacitor status information of the capacitor unit, and generate the first output current allocation parameter based on the output current data, the real-time temperature data and the capacitor status information; Step S30: Determine the first temperature control parameter of the temperature control unit based on the real-time temperature data; Step S40: Perform joint analysis on the first output current distribution parameter and the first temperature control parameter to obtain the temperature-electricity coordinated control quantity, and adjust the temperature-electricity coordinated control quantity based on the power supply health level of the power module. Step S50: Generate a second output current distribution parameter and a second temperature control parameter based on the temperature-electricity coordinated control quantity; control the power supply unit based on the second output current distribution parameter; and control the temperature control unit based on the second temperature control parameter.

[0020] Specifically, by incorporating the mutual influence of current distribution and temperature control into a joint analysis, the conflict between power supply and heat dissipation targets and the oscillation phenomenon caused by negative feedback loops can be effectively alleviated. This achieves coordinated optimization of power supply and temperature control within the internal space of the energy storage device. Based on the power supply health level of the power modules, adjustments are made to obtain the temperature-electricity coordinated control quantity. This temperature-electricity coordinated control quantity, which is adapted to the power supply health level, can adapt to uneven load between power modules, local thermal coupling, and changes in the internal space environment of the energy storage device. This makes the temperature and current distribution of each power module tend to be balanced, avoiding the risk of local overheating or overcurrent, and reducing the power module power outage or failure caused by abnormal temperature or power consumption, thereby improving the reliability and stability of the energy storage device.

[0021] In this embodiment, the steps of collecting the output current data of the power module, identifying anomalies in the output current data, obtaining outliers and clusters among the anomalies, determining an outlier index and a clustering index based on the outliers and clusters, fusing the outlier index and the clustering index to obtain a scatter index of the anomalies, and determining the power supply health level of the power module based on the scatter index include: The output current data of the power module is collected, and the output current data is preprocessed to obtain preprocessed output current data. The time-domain, frequency-domain, and nonlinear indices of the preprocessed output current data at each time step are obtained. The preprocessed output current data is mapped into three-dimensional points in a three-dimensional coordinate system. The three-dimensional points corresponding to the preprocessed output current data are used to form a set of power supply current data points. A three-dimensional power supply scatter plot is drawn based on the power supply current data point set. The three-dimensional points in the three-dimensional power supply scatter plot are analyzed to identify abnormal points in the output current data and obtain outliers and clusters among the abnormal points. Calculate the scatter index of the outliers based on the outliers and clusters; The power supply health level of the power module is set to include a first level, a second level, and a third level; When the scatter index is within a first preset value range, the power supply health level of the power module is determined to be the first level; When the scatter index is within the second preset value range, the power supply health level of the power module is determined to be the second level; When the scatter index is within the third preset value range, the power supply health level of the power module is determined to be level three.

[0022] In this embodiment, the step of collecting the output current data of the power module and preprocessing the output current data to obtain preprocessed output current data includes: The peak point of the collected output current data of the power module is identified and recorded as point R. The output current data is then recorded as RR={RR1,RR2,……,RR} according to the RR interval sequence. N}, where N represents the total number of data points and the sampling frequency is fs; The output current data is processed using median filtering. The median of the g-th RR interval is calculated using the formula: RR' g =Median k∈[-m,m] {RR g+k}, m=⌊0.5×fs⌋ means taking the g-th RR interval as the center, rounding down, selecting a total of 2m+1 data points before and after, and taking the median as the filtered result; The output current data after median filtering is normalized and mapped to the [0,1] interval to form preprocessed output current data.

[0023] In one embodiment, the step of drawing a three-dimensional power supply scatter plot based on the power supply current data point set, analyzing the three-dimensional points in the three-dimensional power supply scatter plot, identifying outliers in the output current data, and obtaining outliers and clusters among the outliers includes: Let the i-th data point in the power supply current data point set be P. i = (X i Y i Z i The set of power supply current data points is P = {P1, P2, ..., P...} N}, where X i Y represents the time-domain index of the i-th data point, where the time-domain index is the standard deviation of the N-N interval. i Z represents the frequency domain index of the i-th data point, which is the ratio of low-frequency power to high-frequency power. i This represents the nonlinear index of the i-th data point, where the nonlinear index is an approximate entropy. Use the data points in the power supply current data point set as three-dimensional points to draw a three-dimensional power supply scatter plot; Obtain normal current data of the healthy power module and establish a three-dimensional confidence ellipse; Mahalanobis distance is used to measure the deviation D between each 3D point in the 3D power supply scatter plot and the mean of the scatter points in the 3D confidence ellipse, where the deviation D of the i-th data point from the mean of the scatter points in the 3D confidence ellipse is... i for , where μ is the scatter mean of the health power module, representing the center position of the normal current data, ∑ is the covariance matrix, and T is the transpose operator; Set as the critical value of the chi-square distribution with 3 degrees of freedom and a confidence level of 95%. The degree of deviation is compared with the determination threshold. When the degree of deviation is greater than the determination threshold, the three-dimensional point corresponding to the degree of deviation is determined to be an abnormal point; The outliers are divided into outliers and clusters. The outliers are... The aggregation points are C = {C1, C2, ..., C}. k}, C k ={P i |dist(P i C k )≤ε}, where parameter ε=0.1×Median(D), MinPts=5; The outlier index OI is set to measure the proportion of outliers in the total data points: OI=|O| / N, where N is the total number of data points; A clustering index (CI) is set to measure the degree of clustering of the cluster points: ; The CSI (Dispersion Index) is obtained by fusing the outlier index and the clustering index: CSI = α × OI + β × CI, where α and β are weights, satisfying α + β = 1. The values ​​of weights α and β are obtained by minimizing... Determine, y n For status labels, y n =0 indicates normal, y n =1 indicates an exception.

[0024] The time-domain index is represented using NN interval standard deviation SDNN: ; The frequency domain index is the ratio of low-frequency power (LF) to high-frequency power (HF): Y i =LF / HF; The nonlinear index is represented by the approximate entropy ApEn: ; where C m (r) represents the pattern matching probability m=2, r=0.2×SDNN.

[0025] In this embodiment, adjusting the temperature-electricity coordinated control quantity based on the power supply health level of the power module includes: When the power supply health level of the power module is the first level, the temperature-electricity coordinated control quantity is set to be multiplied by a first multiple, where the first multiple is less than one. When the power supply health level of the power module is level two, the temperature-electricity coordinated control quantity is set to remain unchanged; When the power supply health level of the power module is level three, the temperature-electricity coordinated control quantity is set to be multiplied by a second multiple, where the second multiple is greater than one.

[0026] In this embodiment, generating the first output current allocation parameter based on the output current data, the real-time temperature data, and the capacitor state information includes: The current difference is obtained by analyzing the output current data, and the fundamental phase difference is determined based on the current difference; The real-time temperature data is analyzed to obtain the temperature difference of the power module, and a temperature compensation item is generated based on the temperature difference of the power module. The capacitor state information is analyzed to obtain the real-time voltage and rated voltage of the capacitor unit, and a capacitor compensation term is generated based on the ratio of the real-time voltage to the rated voltage. ; The output phase difference of the power supply unit is obtained by superimposing the basic phase difference, the temperature compensation term, and the capacitance compensation term.

[0027] Specifically, in this embodiment, generating the first output current allocation parameter based on the output current data, the real-time temperature data, and the capacitor state information includes: The real-time currents of the first and second power modules included in the power supply module are obtained, and the basic phase difference of the dual power supply modules is determined based on the real-time currents of the first and second power modules. Among them, I A I represents the real-time current of the first power supply module. B K represents the real-time current of the second power supply module. imbal K is the load imbalance coefficient. imbal =ρ+δ×tanh(ω×I rated ×|I A -I B |), where tanh() is the hyperbolic tangent function, I rated This represents the rated current of the power module, ρ is the reference load imbalance coefficient, δ is the floating base of the load imbalance coefficient, and tanh(2×I) rated ×|I A -I B |) represents the floating weight caused by the current difference, and ω is the adjustment coefficient; A dual power module temperature compensation term is generated based on the temperature difference between the first power module and the second power module. Among them, T A T represents the temperature of the first power module. B The temperature of the second power module is represented by T. thresh This represents the temperature difference threshold of the dual power supply module, and sgn() is the sign function used to determine the direction of the temperature difference; A capacitance compensation term is generated based on the ratio of the real-time voltage to the rated voltage of the capacitor unit. Wherein, Vcap represents the real-time voltage of the capacitor unit, and Vnom represents the rated voltage of the capacitor unit; The output phase difference of the dual power supply module is obtained by superimposing the basic phase difference of the dual power supply module, the temperature compensation term of the dual power supply module, and the capacitance compensation term of the dual power supply module. ; The output phase difference of the dual power supply module is used as the output phase difference of the power supply units of the first power supply module and the second power supply module; Based on the power module current phase in the current balance state, a corresponding reference phase is set; The phase deviation is obtained by calculating the difference between the output phase difference and the reference phase. Calculate the ratio of the phase deviation to the preset scaling factor, and multiply it by the preset phase deviation sensitivity coefficient to obtain the phase correction value of the power module; The phase correction value of the power module is added to the preset constant offset value to obtain the current adjustment coefficient corresponding to the power module; The current adjustment coefficient is normalized based on the current total load current of the multiple power modules. The normalized current adjustment coefficient is multiplied sequentially by the rated current of the corresponding power module to obtain multiple current reference values ​​of the power modules, which are then used as the first output current allocation parameter.

[0028] Specifically, in this embodiment, when calculating the output phase difference of the power supply unit, the current difference, the temperature difference of the power module, and the ratio of the capacitor unit voltage to the rated voltage are analyzed simultaneously, and then converted into the basic phase difference, temperature compensation term, and capacitor compensation term respectively and superimposed on the output. Therefore, it can maintain unified quantification and linkage correction of the phase under three operating conditions: unbalanced load, local overheating, and capacitor voltage drop. Compared with the scheme of controlling only current or fixed phase, it can reduce voltage ripple and phase imbalance probability and suppress transient drops caused by capacitor over-discharge, thereby improving power supply stability and anti-interference capability.

[0029] Specifically, in this embodiment, the current adjustment coefficient of each power module is obtained by mapping the output phase difference through phase deviation sensitivity. Based on this, the total load of the multiple power modules is normalized and then multiplied by the rated current of each power module to generate a current reference value. Therefore, the distribution ratio can be continuously adjusted under the premise of ensuring the conservation of total current and the constraint of the rated capacity of a single power module. Furthermore, by establishing a monotonic and traceable deterministic mapping between "phase and current sharing", the secondary oscillation caused by over-distribution or under-distribution can be reduced, thereby improving the controllability and feasibility of current distribution.

[0030] In this embodiment, the temperature control unit includes a fan array composed of multiple deflecting fans. Determining the first temperature control parameter of the temperature control unit based on the real-time temperature data includes: The real-time temperature data is analyzed to determine the real-time temperature of multiple power modules, and each is compared with a preset temperature threshold. If the real-time temperature of the power module is less than or equal to the preset temperature threshold, the power module is determined to be normal, and multiple deflection fans are set to operate according to preset room temperature operating parameters. If the real-time temperature of the power module is greater than the preset temperature threshold, the power module is determined to be overheated, and the difference between the real-time temperature of the power module and the preset temperature threshold is taken as the cooling requirement. The cooling demand is mapped to a target airflow for airflow control. ;in, Let Ks represent the target airflow of the s-th power module, Ks be the airflow-heat dissipation empirical coefficient of the s-th power module, ΔTs represent the relationship between the temperature change of the corresponding power module and the required heat dissipation airflow, and ΔTs represent the cooling requirement of the s-th power module. In the fan array, the position of the r-th deflection fan is denoted as p. r Rated air volume is recorded as The rated speed is denoted as The position of the s-th power module within the energy storage device is denoted as n. s ; With the s-th power module as the center position, select M deflection fans from the fan array whose distance from the s-th power module is less than or equal to a preset distance threshold. When the speed of the deflection fan is set to S r The deflection angle is set to θ. r When the effective airflow of the r-th deflection fan to the s-th power module is expressed as: ; where v sr (S r ,θ r Let be the effective airflow of the r-th deflection fan to the s-th power module, and angle(n) be the effective airflow of the r-th deflection fan to the s-th power module. s -p r D represents the direction angle of the line connecting the r-th deflection fan and the s-th power module. sr Let γ represent the distance between the r-th deflection fan and the s-th power module, where γ is the angle influence coefficient and is a positive empirical number. η is the distance attenuation coefficient of airflow within the internal space of the energy storage device. r This refers to the fan efficiency coefficient; The total air volume received by the s-th power module is Where M is the number of deflection fans selected for the s-th power module, and V s Let be the total air volume received by the s-th power module; Deflection angle adjustment parameters are generated based on the distribution positions of the multiple deflection fans associated with the power module to form an airflow convergence zone at the overheated power module. Based on the rated power and total air volume of the multiple deflection fans associated with the power module, determine the speed adjustment parameters corresponding to the multiple deflection fans; The normal temperature operating parameters, speed adjustment parameters, and deflection angle adjustment parameters of the multiple deflecting fans in the fan array are integrated as the first temperature control parameter.

[0031] Specifically, in this embodiment, the temperature control unit is constructed as a fan array composed of multiple deflecting fans. Based on the power module temperature threshold, it distinguishes between normal temperature power modules and over-temperature power modules. For over-temperature power modules, deflecting fans are selected according to their spatial positions to generate deflection angle adjustment parameters to form an airflow convergence area. Then, based on the cooling demand and the rated power of the fans, the speed adjustment parameters are calculated. Finally, the normal temperature operation, angle, and speed adjustment parameters are integrated into the first temperature control parameter. Therefore, without sacrificing the basic heat dissipation of the normal temperature power module, the convective heat transfer coefficient at the hot spot can be improved in a targeted manner and the hot spot cooling time can be shortened. Compared with the unified air duct fixed speed scheme, it can reduce ineffective air volume and energy consumption and suppress local temperature superposition caused by heat backflow.

[0032] In one specific embodiment, a first power module and a second power module are arranged inside the energy storage device. The current phase of the power module in the current balance state is 180°, which represents the theoretical phase difference when the output voltages of the two power modules are completely interleaved and complementary in the dual power module interleaved power supply system. Therefore, the reference phase is set to 180°. The preset scaling factor is set to 30°, which is used to map the phase deviation to the current adjustment coefficient. The greater the phase deviation, the more current is adjusted. The specific value can be adjusted according to the hardware characteristics, control accuracy and load regulation capability. A preset phase deviation sensitivity coefficient is used to determine the current offset between the two power modules. It can be set to [-1, 1]. A positive value deviates from the first power module, and a negative value deviates from the second power module. The current adjustment coefficient is specifically expressed as follows: k B =1-k A ; Where, k A k represents the current regulation coefficient of the first power supply module. B τ represents the current adjustment coefficient of the second power supply module, and τ represents the preset phase deviation sensitivity coefficient.

[0033] Specifically, in this embodiment, the phase deviation is first calculated by taking the reference phase under current balance as a reference, and then the phase correction value of the power module is obtained by scaling factor and phase deviation sensitivity coefficient. The final current adjustment coefficient is formed by constant offset. Therefore, fine-grained adjustment can be achieved in the small deviation range, and excessive amplification can be avoided in the large deviation range. At the same time, it ensures that the algorithm structure of each power module is consistent and the scope is uniform, eliminating the implicit nonlinear uncertainty, which is convenient for calibration and online maintenance, thereby reducing adjustment jitter and improving convergence predictability.

[0034] Furthermore, when the number of overheating power modules is greater than one, to meet the heat dissipation requirements of each overheating power module, it is necessary to adjust the deflection angle and speed of multiple deflection fans. The target angle for the peripheral deflection of the i-th power module is set as follows: The actual set angle is obtained by cutting within the mechanically adjustable range of the deflection fan, and denoted as . When the same fan needs to serve multiple power modules at the same time, weights can be assigned according to the temperature difference of the power modules, and the target angle can be solved by weighting, thereby achieving a compromise between different power modules; After determining the actual set angles of multiple deflection fans, an airflow contribution matrix is ​​established, and the target airflow of multiple power modules is integrated. A matrix equation is constructed, and the fan speed vector is solved by constrained least squares to obtain the set speed of all deflection fans in the fan array. The first temperature control parameter is then generated.

[0035] Specifically, this embodiment establishes a formulaic mapping relationship between the power module temperature difference, cooling demand, and target airflow, transforming temperature control from empirical threshold control to quantifiable computational control. By incorporating parameters such as the real-time temperature of the power module, preset temperature threshold, fan rated power, and deflection angle into the formula, it can directly generate fan speed and deflection angle adjustments that match the actual needs of each power module. This not only accurately identifies the heat dissipation needs of overheated power modules but also ensures the matching between cooling demand and airflow supply at the mathematical model level, thereby achieving closed-loop prediction and adaptive adjustment of fan operating parameters. Compared to schemes that generate control parameters solely based on logical judgment, this embodiment avoids dependence on fixed thresholds and empirical parameters, improves the dynamic response speed and adjustment accuracy of temperature control, and further enhances the system's temperature management capabilities under complex environments such as asymmetrical loads and local thermal coupling.

[0036] In this embodiment, the joint analysis of the first output current allocation parameter and the first temperature control parameter to obtain the temperature-electricity coordinated control quantity includes: The power module's allocated current value is obtained based on the first output current allocation parameter. The equivalent resistance of the power module is obtained. The difference between the corresponding allocated current value and the current current of the power module is combined to determine the predicted power consumption change of the power module. Based on the first temperature control parameter, predict the predicted heat dissipation of the power module when the temperature control unit executes the first temperature control parameter. The predicted power consumption change and the predicted heat dissipation are input into a pre-constructed thermal coupling model of the internal space of the energy storage device. Combined with the heat absorption factor of the internal space environment of the energy storage device, the predicted power supply temperature of the power module is generated. The predicted power supply temperature of the power module is... Among them, T s (t) represents the current temperature of the s-th power module, t represents the current time, and t+1 represents the time of the next measurement cycle. ΔP represents the predicted power supply temperature of the s-th power module. s γ represents the predicted power consumption change of the s-th power module, Cs is the heat capacity of the s-th power module, and γ sk H is the thermal coupling coefficient between the s-th power module and the k-th power module. env (t) represents the heat absorption factor of the internal space environment of the energy storage device. This is a saturation function used to characterize the marginal effect of heat dissipation; The power temperature deviation of the power module is generated based on the difference between the predicted power temperature and the preset target temperature of the power module. Calculate the temperature-electricity coordinated control quantity corresponding to the power supply module based on the power supply temperature deviation.

[0037] It is worth noting that the predicted temperature of a power module is determined not only by the heat generated by its own power consumption increment and the heat dissipation generated by its own temperature control unit, but also by the coupling effect of the heat dissipation behavior of other power modules within the energy storage device's internal space. Therefore, the thermal coupling function for the predicted temperature is modeled using the product of the heat dissipation of the entire power module set, i.e. Wherein, when k=i, this term corresponds to the direct suppression effect of the power module's own heat dissipation on its temperature; when k≠i, this term represents the indirect regulation effect of the heat dissipation distribution of adjacent or surrounding power modules on the power module temperature through airflow interference or heat diffusion. Through the above modeling method, the electro-thermal interaction and overall thermal coupling effect between multiple power modules inside the energy storage device can be reflected more accurately, so that the predicted temperature results are more consistent with the actual operating state.

[0038] In this embodiment, generating the second output current allocation parameter and the second temperature control parameter based on the temperature-electricity coordinated control quantity includes: By analyzing the temperature-electricity coordinated control quantities, the power module current fine-tuning quantity and temperature control fine-tuning quantity are obtained; The first output current allocation parameter of the power supply unit is corrected according to the current fine-tuning amount of the power module to obtain the intermediate output current allocation parameter; The first temperature control parameter of the temperature control unit is corrected according to the temperature control fine-tuning amount to obtain the intermediate temperature control parameter; The intermediate output current allocation parameters and the intermediate temperature control parameters are iteratively analyzed together. Each iteration uses the power supply predicted temperature and power module current phase of the previous round as input until the power supply temperature deviation of multiple power modules is less than the stable threshold and the current phase difference of the corresponding power modules is less than the first threshold. The intermediate output current allocation parameters and the intermediate temperature control parameters obtained through iterative convergence are used as the second output current allocation parameters and the second temperature control parameters.

[0039] Specifically, in this embodiment, the temperature-electricity coordinated control quantity is analyzed into current fine-tuning quantity and heat dissipation fine-tuning quantity to modify the first output current allocation parameter and the first temperature control parameter respectively to obtain intermediate parameter pairs. Based on this, joint analysis is iteratively performed until the temperature deviation of each power supply is less than the stability threshold and the current phase of the power module tends to be stable. Then, the intermediate parameter pairs obtained by convergence are output as the second output current allocation parameter and the second temperature control parameter, thus forming a convergence process with a clear stopping criterion. Furthermore, the phase stability target and temperature stability target are simultaneously satisfied by iterative small-step linkage fine-tuning, avoiding oscillations caused by large-step alternating corrections, thereby improving the repeatability of the stable landing point and adjusting the convergence speed.

[0040] In the aforementioned temperature and power supply control method for energy storage devices, by incorporating the mutual influence of current distribution and temperature control into a joint analysis, the conflict between power supply and heat dissipation targets and the oscillation phenomenon caused by negative feedback loops can be effectively alleviated. This achieves coordinated optimization of power supply and temperature control within the internal space of the energy storage device. The temperature and power synergistic control quantity is obtained by adjusting based on the power supply health level of the power modules. This temperature and power synergistic control quantity, which is adapted to the power supply health level, can adapt to uneven load between power modules, local thermal coupling, and changes in the internal space environment of the energy storage device. This makes the temperature and current distribution of each power module tend to be balanced, avoids the risk of local overheating or overcurrent, and reduces the power module power outage or failure caused by abnormal temperature or power consumption, thereby improving the reliability and stability of the energy storage device.

[0041] In one embodiment, an energy storage device is provided, including multiple power modules and a temperature control unit. The power modules include a power supply unit and a capacitor unit. The energy storage device is used to implement the steps of the energy storage device temperature control power supply control method described above.

[0042] In the aforementioned energy storage devices, by incorporating the mutual influence of current distribution and temperature control into joint analysis, the conflict between power supply and heat dissipation targets and the oscillation phenomenon caused by negative feedback loops can be effectively alleviated. This achieves coordinated optimization of power supply and temperature control within the internal space of the energy storage device. Based on the power supply health level of the power modules, adjustments are made to obtain temperature-electricity coordinated control quantities. These temperature-electricity coordinated control quantities, which are adapted to the power supply health level, can adapt to uneven loads between power modules, local thermal coupling, and changes in the internal space environment of the energy storage device. This makes the temperature and current distribution of each power module tend to be balanced, avoiding the risk of local overheating or overcurrent, and reducing the power module power outages or failures caused by abnormal temperature or power consumption, thereby improving the reliability and stability of the energy storage device.

[0043] Specific limitations regarding energy storage devices can be found in the above section on the limitations of temperature control and power supply control methods for energy storage devices, and will not be repeated here. Each module in the aforementioned energy storage device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in a computer device, or stored in software in the memory of a computer device, so that the processor can call and execute the corresponding operations of each module.

[0044] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 2 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores temperature and power supply control data for the energy storage device. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a temperature and power supply control method for an energy storage device.

[0045] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0046] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the energy storage device temperature control and power supply control method described above.

[0047] For specific limitations on the steps implemented by the processor when executing a computer program, please refer to the limitations on the methods for temperature control and power supply control of energy storage devices mentioned above, which will not be repeated here.

[0048] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the energy storage device temperature control and power supply control method described above.

[0049] For specific limitations on the steps implemented when a computer program is executed by a processor, please refer to the limitations on the methods for temperature control and power supply control of energy storage devices mentioned above, which will not be repeated here.

[0050] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0051] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0052] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for temperature-controlled power supply control of an energy storage device, characterized in that, The energy storage device includes multiple power modules and a temperature control unit, wherein each power module includes a power supply unit and a capacitor unit, and the method includes: The power module's output current data is collected, anomalies in the output current data are identified, outliers and clusters in the anomalies are obtained, and outlier index and cluster index are determined based on the outliers and clusters. The outlier index and cluster index are fused to obtain the scatter index of the anomalies, and the power supply health level of the power module is determined based on the scatter index. Collect real-time temperature data of the power module and capacitor status information of the capacitor unit, and generate first output current allocation parameters based on the output current data, the real-time temperature data and the capacitor status information; Based on the real-time temperature data, the first temperature control parameter of the temperature control unit is determined; The temperature-electricity coordinated control quantity is obtained by jointly analyzing the first output current distribution parameter and the first temperature control parameter, and the temperature-electricity coordinated control quantity is adjusted based on the power supply health level of the power module. The second output current distribution parameter and the second temperature control parameter are generated based on the temperature-electricity coordinated control quantity. The power supply unit is controlled based on the second output current distribution parameter, and the temperature control unit is controlled based on the second temperature control parameter.

2. The energy storage device temperature control and power supply control method according to claim 1, characterized in that, The process of collecting the output current data of the power module, identifying anomalies in the output current data, obtaining outliers and clusters among the anomalies, determining an outlier index and a clustering index based on the outliers and clusters, fusing the outlier index and the clustering index to obtain a scatter index of the anomalies, and determining the power supply health level of the power module based on the scatter index includes: The output current data of the power module is collected, and the output current data is preprocessed to obtain preprocessed output current data. The time-domain, frequency-domain, and nonlinear indices of the preprocessed output current data at each time step are obtained. The preprocessed output current data is mapped into three-dimensional points in a three-dimensional coordinate system. The three-dimensional points corresponding to the preprocessed output current data are used to form a set of power supply current data points. A three-dimensional power supply scatter plot is drawn based on the power supply current data point set. The three-dimensional points in the three-dimensional power supply scatter plot are analyzed to identify abnormal points in the output current data and obtain outliers and clusters among the abnormal points. Calculate the scatter index of the outliers based on the outliers and clusters; The power supply health level of the power module is set to include a first level, a second level, and a third level; When the scatter index is within a first preset value range, the power supply health level of the power module is determined to be the first level; When the scatter index is within the second preset value range, the power supply health level of the power module is determined to be the second level; When the scatter index is within the third preset value range, the power supply health level of the power module is determined to be level three.

3. The energy storage device temperature control and power supply control method according to claim 2, characterized in that, The step of drawing a three-dimensional power supply scatter plot based on the power supply current data point set, analyzing the three-dimensional points in the three-dimensional power supply scatter plot, identifying outliers in the output current data, and obtaining outliers and clusters among the outliers includes: Let the i-th data point in the power supply current data point set be P. i = (X i Y i Z i The set of power supply current data points is P = {P1, P2, ..., P...} N }, where X i Y represents the time-domain index of the i-th data point, where the time-domain index is the standard deviation of the N-N interval. i Z represents the frequency domain index of the i-th data point, which is the ratio of low-frequency power to high-frequency power. i This represents the nonlinear index of the i-th data point, where the nonlinear index is an approximate entropy. Use the data points in the power supply current data point set as three-dimensional points to draw a three-dimensional power supply scatter plot; Obtain normal current data of the healthy power module and establish a three-dimensional confidence ellipse; Mahalanobis distance is used to measure the deviation D between each 3D point in the 3D power supply scatter plot and the mean of the scatter points in the 3D confidence ellipse, where the deviation D of the i-th data point from the mean of the scatter points in the 3D confidence ellipse is... i for , where μ is the scatter mean of the health power module, representing the center position of the normal current data, ∑ is the covariance matrix, and T is the transpose operator; Set as the critical value of the chi-square distribution with 3 degrees of freedom and a confidence level of 95%. The degree of deviation is compared with the determination threshold. When the degree of deviation is greater than the determination threshold, the three-dimensional point corresponding to the degree of deviation is determined to be an abnormal point; The outliers are divided into outliers and clusters. The outliers are... The aggregation points are C = {C1, C2, ..., C}. k }, C k ={P i |dist(P i C k )≤ε}, where parameter ε=0.1×Median(D), MinPts=5; The outlier index OI is set to measure the proportion of outliers in the total data points: OI=|O| / N, where N is the total number of data points; A clustering index (CI) is set to measure the degree of clustering of the cluster points: ; The CSI (Dispersion Index) is obtained by fusing the outlier index and the clustering index: CSI = α × OI + β × CI, where α and β are weights, satisfying α + β = 1. The values ​​of weights α and β are obtained by minimizing... Determine, y n For status labels, y n =0 indicates normal, y n =1 indicates an exception.

4. The energy storage device temperature control and power supply control method according to claim 2, characterized in that, The adjustment of the temperature-electricity coordinated control quantity based on the power supply health level of the power module includes: When the power supply health level of the power module is the first level, the temperature-electricity coordinated control quantity is set to be multiplied by a first multiple, where the first multiple is less than one. When the power supply health level of the power module is level two, the temperature-electricity coordinated control quantity is set to remain unchanged; When the power supply health level of the power module is level three, the temperature-electricity coordinated control quantity is set to be multiplied by a second multiple, where the second multiple is greater than one.

5. The energy storage device temperature control and power supply control method according to claim 1, characterized in that, The step of generating the first output current allocation parameter based on the output current data, the real-time temperature data, and the capacitor status information includes: The real-time currents of the first and second power modules included in the power supply module are obtained, and the basic phase difference of the dual power supply modules is determined based on the real-time currents of the first and second power modules. Among them, I A I represents the real-time current of the first power supply module. B K represents the real-time current of the second power supply module. imbal K is the load imbalance coefficient. imbal =ρ+δ×tanh(ω×I rated ×|I A -I B |), where tanh() is the hyperbolic tangent function, I rated This represents the rated current of the power module, ρ is the reference load imbalance coefficient, δ is the floating base of the load imbalance coefficient, and tanh(2×I) rated ×|I A -I B |) represents the floating weight caused by the current difference, and ω is the adjustment coefficient; A dual power module temperature compensation term is generated based on the temperature difference between the first power module and the second power module. Among them, T A T represents the temperature of the first power module. B The temperature of the second power module is represented by T. thresh This represents the temperature difference threshold of the dual power supply module, and sgn() is the sign function used to determine the direction of the temperature difference; A capacitance compensation term is generated based on the ratio of the real-time voltage to the rated voltage of the capacitor unit. Wherein, Vcap represents the real-time voltage of the capacitor unit, and Vnom represents the rated voltage of the capacitor unit; The output phase difference of the dual power supply module is obtained by superimposing the basic phase difference of the dual power supply module, the temperature compensation term of the dual power supply module, and the capacitance compensation term of the dual power supply module. ; The output phase difference of the dual power supply module is used as the output phase difference of the power supply units of the first power supply module and the second power supply module; Based on the power module current phase in the current balance state, a corresponding reference phase is set; The phase deviation is obtained by calculating the difference between the output phase difference and the reference phase. Calculate the ratio of the phase deviation to the preset scaling factor, and multiply it by the preset phase deviation sensitivity coefficient to obtain the phase correction value of the power module; The phase correction value of the power module is added to the preset constant offset value to obtain the current adjustment coefficient corresponding to the power module; The current adjustment coefficient is normalized based on the current total load current of the multiple power modules. The normalized current adjustment coefficient is multiplied sequentially by the rated current of the corresponding power module to obtain multiple current reference values ​​of the power modules, which are then used as the first output current allocation parameter.

6. The energy storage device temperature control and power supply control method according to claim 1, characterized in that, The temperature control unit includes a fan array composed of multiple deflecting fans. Determining the first temperature control parameter of the temperature control unit based on the real-time temperature data includes: The real-time temperature data is analyzed to determine the real-time temperature of multiple power modules, and each is compared with a preset temperature threshold. If the real-time temperature of the power module is less than or equal to the preset temperature threshold, the power module is determined to be normal, and multiple deflection fans are set to operate according to preset room temperature operating parameters. If the real-time temperature of the power module is greater than the preset temperature threshold, the power module is determined to be overheated, and the difference between the real-time temperature of the power module and the preset temperature threshold is taken as the cooling requirement. The cooling demand is mapped to a target airflow for airflow control. ;in, Let Ks represent the target airflow of the s-th power module, Ks be the airflow-heat dissipation empirical coefficient of the s-th power module, ΔTs represent the relationship between the temperature change of the corresponding power module and the required heat dissipation airflow, and ΔTs represent the cooling requirement of the s-th power module. In the fan array, the position of the r-th deflection fan is denoted as p. r Rated air volume is recorded as The rated speed is denoted as The position of the s-th power module within the energy storage device is denoted as n. s ; With the s-th power module as the center position, select M deflection fans from the fan array whose distance from the s-th power module is less than or equal to a preset distance threshold. When the speed of the deflection fan is set to S r The deflection angle is set to θ. r When the effective airflow of the r-th deflection fan to the s-th power module is expressed as: ; where v sr (S r ,θ r Let be the effective airflow of the r-th deflection fan to the s-th power module, and angle(n) be the effective airflow of the r-th deflection fan to the s-th power module. s -p r D represents the direction angle of the line connecting the r-th deflection fan and the s-th power module. sr Let γ represent the distance between the r-th deflection fan and the s-th power module, where γ is the angle influence coefficient and is a positive empirical number. η is the distance attenuation coefficient of airflow within the internal space of the energy storage device. r This refers to the fan efficiency coefficient; The total air volume received by the s-th power module is Where M is the number of deflection fans selected for the s-th power module, and V s Let be the total air volume received by the s-th power module; Deflection angle adjustment parameters are generated based on the distribution positions of the multiple deflection fans associated with the power module to form an airflow convergence zone at the overheated power module. Based on the rated power and total air volume of the multiple deflection fans associated with the power module, determine the speed adjustment parameters corresponding to the multiple deflection fans; The normal temperature operating parameters, speed adjustment parameters, and deflection angle adjustment parameters of the multiple deflecting fans in the fan array are integrated as the first temperature control parameter.

7. The energy storage device temperature control and power supply control method according to claim 1, characterized in that, The joint analysis of the first output current distribution parameters and the first temperature control parameters to obtain the temperature-electricity coordinated control quantity includes: The power module's allocated current value is obtained based on the first output current allocation parameter. The equivalent resistance of the power module is obtained. The difference between the corresponding allocated current value and the current current of the power module is combined to determine the predicted power consumption change of the power module. Based on the first temperature control parameter, predict the predicted heat dissipation of the power module when the temperature control unit executes the first temperature control parameter. The predicted power consumption change and the predicted heat dissipation are input into a pre-constructed thermal coupling model of the internal space of the energy storage device. Combined with the heat absorption factor of the internal space environment of the energy storage device, the predicted power supply temperature of the power module is generated. The predicted power supply temperature of the power module is... Among them, T s (t) represents the current temperature of the s-th power module, t represents the current time, and t+1 represents the time of the next measurement cycle. Let ΔP represent the predicted power supply temperature of the s-th power module. s γ represents the predicted power consumption change of the s-th power module, Cs is the heat capacity of the s-th power module, and γ sk H is the thermal coupling coefficient between the s-th power module and the k-th power module. env (t) represents the heat absorption factor of the internal space environment of the energy storage device. This is a saturation function used to characterize the marginal effect of heat dissipation; The power temperature deviation of the power module is generated based on the difference between the predicted power temperature and the preset target temperature of the power module. Calculate the temperature-electricity coordinated control quantity corresponding to the power supply module based on the power supply temperature deviation.

8. The energy storage device temperature control and power supply control method according to claim 7, characterized in that, The step of generating the second output current allocation parameter and the second temperature control parameter based on the temperature-electricity coordinated control quantity includes: By analyzing the temperature-electricity coordinated control quantities, the power module current fine-tuning quantity and temperature control fine-tuning quantity are obtained; The first output current allocation parameter of the power supply unit is corrected according to the current fine-tuning amount of the power module to obtain the intermediate output current allocation parameter; The first temperature control parameter of the temperature control unit is corrected according to the temperature control fine-tuning amount to obtain the intermediate temperature control parameter; The intermediate output current allocation parameters and the intermediate temperature control parameters are iteratively analyzed together. Each iteration uses the power supply predicted temperature and power module current phase of the previous round as input until the power supply temperature deviation of multiple power modules is less than the stable threshold and the current phase difference of the corresponding power modules is less than the first threshold. The intermediate output current allocation parameters and the intermediate temperature control parameters obtained through iterative convergence are used as the second output current allocation parameters and the second temperature control parameters.

9. An energy storage device comprising a plurality of power modules and a temperature control unit, wherein the power modules include a power supply unit and a capacitor unit, and the energy storage device is used to implement the steps of the method according to any one of claims 1 to 8.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

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