Charging control method, device, equipment and storage medium of emergency energy storage power supply

Abstract

The present invention relates to the field of charging technology, and discloses a charging control method, device, equipment and storage medium for an emergency energy storage power supply. The method includes: acquiring a variety of energy storage parameter data, and performing a variety of charging and discharging preprocessing on each energy storage parameter data; extracting the capacitor charging characteristics and capacitor discharging characteristics of the preprocessed energy storage parameter data, and using a preset multi-interaction charging model to calculate the first interaction weight value corresponding to the charging interaction parameter, and the second interaction weight value corresponding to the discharge interaction parameter; based on the first interaction weight value, determining the initial capacitor state, and based on the capacitor charging state and the second interaction weight value, generating charging control parameters, and monitoring the secondary charging state of the supercapacitor energy storage module; based on the secondary charging state, adjusting the parameter value of the charging control parameter, and based on the result of the parameter adjustment, generating the charging control result of the emergency energy storage power supply. The present application improves the charging efficiency of the emergency power supply based on supercapacitor energy storage.

Description

Technical Field

[0001] The present invention relates to the field of charging technology, and in particular to a charging control method, device, equipment and storage medium for an emergency energy storage power supply. Background Art

[0002] With the growing energy crisis and environmental pollution, renewable energy and efficient energy storage technologies have garnered widespread attention. Supercapacitors, as highly efficient energy storage devices, have gained widespread application in emergency power supplies, electric vehicles, and renewable energy systems due to their high power density, rapid charge and discharge capabilities, and long cycle life. However, supercapacitor charging is a complex process that requires precise control of charging current and voltage to avoid problems such as overcharging, over-discharging, and thermal runaway.

[0003] Today, traditional charging control methods usually use fixed parameters or simple feedback control. These methods often cannot fully consider the dynamic characteristics of supercapacitors and nonlinear changes during the charging process, nor can they consider the historical discharge state of supercapacitors to adjust the current charging strategy for the corresponding power supply, resulting in low charging efficiency. That is, the charging efficiency of existing emergency power supplies based on supercapacitor energy storage is low. Summary of the Invention

[0004] The main purpose of the present invention is to solve the problem of low charging efficiency of existing supercapacitor energy storage emergency power supplies.

[0005] The first aspect of the present invention provides a charging control method for an emergency energy storage power supply, which is applied to a charging control system, wherein the charging control system includes a supercapacitor energy storage module, a power conversion module, and an interactive control module. The charging control method for the emergency energy storage power supply includes: obtaining a plurality of energy storage parameter data of the supercapacitor energy storage module within a preset charging and discharging period, and performing a plurality of charging and discharging preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data; extracting the capacitor charging characteristics and capacitor discharging characteristics of the preprocessed energy storage parameter data, and based on the capacitor charging characteristics, using a preset multi-interaction charging model to calculate the charging interaction parameters of the supercapacitor energy storage module The method comprises the following steps: determining the first interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module and calculating the second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module based on the capacitor discharge characteristics by using a preset multi-interaction charging model; determining the initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, and generating a charging control parameter through the power conversion module based on the capacitor charging state and the second interaction weight value, and monitoring the secondary charging state of the supercapacitor energy storage module through the interaction control module; adjusting the parameter value of the charging control parameter based on the secondary charging state, and generating a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0006] Optionally, in a first implementation method of the first aspect of the present invention, the energy storage parameter data are subjected to multiple charge and discharge preprocessing to obtain preprocessed energy storage parameter data, including: performing averaging denoising and low-pass filtering on each energy storage parameter data to obtain filtered energy storage parameter data, and normalizing the filtered energy storage parameter data to obtain normalized energy storage parameter data; identifying incomplete data in the normalized energy storage parameter data to obtain an identification result, and using a preset linear interpolation formula to perform linear interpolation on the incomplete data in the identification result to obtain preprocessed energy storage parameter data.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the extraction of the preprocessed energy storage parameter data and capacitor discharge characteristics includes: identifying a plurality of charging parameter data corresponding to capacitor energy storage in the preprocessed energy storage parameter data, and identifying a plurality of discharge parameter data of historical capacitor discharge in the preprocessed energy storage parameter data; calculating the timing change value corresponding to each of the charging parameter data, and calculating the discharge change value corresponding to each of the discharge parameter data; performing a charging characteristic evaluation on the characteristic parameter data based on the timing change value to generate a capacitor charging characteristic, and performing a discharge characteristic evaluation on the characteristic parameter data based on the discharge change value to generate a capacitor discharge characteristic.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the multi-interaction charging model includes multiple charging prediction models and multiple discharge prediction models, and the first interaction weight value corresponding to the charging interaction parameter of the supercapacitor energy storage module is calculated based on the capacitor charging characteristics using a preset multi-interaction charging model, and the second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module is calculated based on the capacitor discharge characteristics using a preset multi-interaction charging model, including: matching each corresponding type of charging prediction model from the preset multi-interaction charging model, and matching each corresponding type of discharge prediction model from the preset multi-interaction charging model; using each of the charging prediction models to respectively calculate the initial charging weight value of the charging parameter corresponding to the capacitor charging characteristic, and interactively adjusting the charging parameters to the initial charging weight value to obtain the first interaction weight value; using each of the discharge prediction models to respectively calculate the initial discharge weight value of the discharge parameter corresponding to the capacitor discharge characteristic, and interactively adjusting the discharge parameters to the initial discharge weight value to obtain the second interaction weight value.

[0009] Optionally, in a fourth implementation method of the first aspect of the present invention, the initial capacitance state of the supercapacitor energy storage module is determined based on the first interaction weight value, and based on the capacitor charging state and the second interaction weight value, charging control parameters are generated through the power conversion module, and the secondary charging state of the supercapacitor energy storage module is monitored through the interaction control module, including: based on the parameter weights corresponding to each of the charging parameters, the weighted average value of each of the first interaction weight values ​​is calculated, and based on the weighted average value, the initial capacitance state of the supercapacitor energy storage module is matched; based on the second interaction weight value, at least one historical discharge state of the emergency energy storage power supply is determined, and the initial charging parameters corresponding to the initial capacitance state are determined; using the historical discharge state, the initial charging parameters are adjusted through the power conversion module, charging control parameters are generated, and the secondary charging state of the supercapacitor energy storage module is monitored through the interaction control module.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the parameter value of the charging control parameter is adjusted based on the secondary charging state, and the charging control result of the emergency energy storage power supply is generated based on the result of the parameter adjustment, including: determining the secondary charging power corresponding to the secondary charging state, and comparing the power difference between the capacitor charging power and the initial charging power corresponding to the emergency energy storage power supply; based on the power difference, adjusting the parameter value of the charging power corresponding to the charging control parameter, and generating the charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0011] Optionally, in a sixth implementation of the first aspect of the present invention, before obtaining the multiple energy storage parameter data of the supercapacitor energy storage module within the preset charge and discharge period, it also includes: obtaining the historical charge and discharge data of the emergency energy storage power supply, and using a pre-trained model corresponding to a plurality of charge and discharge parameters to predict the parameter states of the corresponding charge and discharge parameters of the historical charge and discharge data to obtain a parameter prediction result; calculating the interaction correlation value between the parameter prediction result and the actual parameter state of various charge and discharge parameters of the historical charge and discharge data, and based on the interaction correlation, adjusting the prediction parameter weights of the sub-charge and discharge models corresponding to the various charge and discharge parameters in the pre-trained model until the interaction correlation value is greater than the preset interaction threshold to generate a multi-interaction charging model.

[0012] The second aspect of the present invention provides a charging control device for an emergency energy storage power supply, which is applied to a charging control system. The charging control system includes a supercapacitor energy storage module, a power conversion module and an interactive control module. The charging control device of the emergency energy storage power supply includes: an acquisition module for acquiring a variety of energy storage parameter data of the supercapacitor energy storage module within a preset charging and discharging period, and performing a variety of charging and discharging preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data; a calculation module for extracting the capacitor charging characteristics and capacitor discharge characteristics of the preprocessed energy storage parameter data, and based on the capacitor charging characteristics, using a preset multi-interaction charging model to calculate the charging interaction parameters of the supercapacitor energy storage module A first interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module is calculated based on the capacitor discharge characteristics and a second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module is calculated using a preset multi-interaction charging model; a determination module is used to determine the initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, and based on the capacitor charging state and the second interaction weight value, generate a charging control parameter through the power conversion module, and monitor the secondary charging state of the supercapacitor energy storage module through the interaction control module; an adjustment module is used to adjust the parameter value of the charging control parameter based on the secondary charging state, and generate a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0013] A third aspect of the present invention provides a charging control device for an emergency energy storage power supply, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the charging control device of the emergency energy storage power supply performs each step of the above-mentioned charging control method of the emergency energy storage power supply.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is run on a computer, it enables the computer to execute the various steps of the above-mentioned emergency energy storage power supply charging control method.

[0015] The charging control method, device, equipment and storage medium of the above-mentioned emergency energy storage power supply. In an embodiment of the present invention, by obtaining multiple energy storage parameter data of the supercapacitor energy storage module within a preset charging and discharging period, and performing multiple charging and discharging preprocessing on each energy storage parameter data, the preprocessed energy storage parameter data is obtained; the capacitor charging characteristics and capacitor discharge characteristics of the preprocessed energy storage parameter data are extracted, and based on the capacitor charging characteristics, a first interaction weight value corresponding to the charging interaction parameter of the supercapacitor energy storage module is calculated using a preset multi-interaction charging model, and based on the capacitor discharge characteristics, a second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module is calculated using a preset multi-interaction charging model; based on the first interaction weight value, the initial capacitance state of the supercapacitor energy storage module is determined, and based on the capacitor charging state and the second interaction weight value, the charging control parameter is generated by the power conversion module, and the secondary charging state of the supercapacitor energy storage module is monitored by the interactive control module; based on the secondary charging state, the parameter value of the charging control parameter is adjusted, and based on the result of the parameter adjustment, the charging control result of the emergency energy storage power supply is generated. Compared with the existing technology, the present application determines the current capacitance state of the supercapacitor by performing data analysis on the relevant charging and discharging parameters of various energy storage parameter data of the supercapacitor energy storage module, and generates the charging control parameters of the supercapacitor energy storage module based on the second interaction weight value of the historical discharge of the supercapacitor energy storage module and the current capacitance state of the supercapacitor, and monitors the real-time charging state of the supercapacitor to adjust the parameter value corresponding to the capacitor charging power, thereby generating a charging control result of the emergency energy storage power supply to improve the charging efficiency of the emergency power supply based on supercapacitor energy storage.

[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of a first embodiment of a charging control method for an emergency energy storage power supply according to an embodiment of the present invention;

[0019] Figure 2 Schematic diagram of a second embodiment of a charging control method for an emergency energy storage power supply according to an embodiment of the present invention;

[0020] Figure 3 Schematic diagram of an embodiment of a charging control device for an emergency energy storage power supply according to an embodiment of the present invention;

[0021] Figure 4 FIG1 is a schematic diagram of an embodiment of a charging control device for an emergency energy storage power supply in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] The terms "including," "having," and any variations thereof, as used in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or device.

[0024] To facilitate understanding of this embodiment, the specific process of the embodiment of the present invention is described below. Figure 1 The first embodiment of the charging control method of the emergency energy storage power supply in the embodiment of the present invention includes:

[0025] 101. Acquire multiple energy storage parameter data of the supercapacitor energy storage module within a preset charge and discharge period, and perform multiple charge and discharge preprocessing on each energy storage parameter data to obtain preprocessed energy storage parameter data;

[0026] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, techniques, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to achieve optimal results.

[0027] Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interaction systems, and mechatronics. AI software technologies primarily encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.

[0028] In this embodiment, the charging control system includes a supercapacitor energy storage module, a power conversion module and an interactive control module, wherein the supercapacitor energy storage module is a power storage module composed of at least one group of supercapacitors, the power conversion module is a conversion module corresponding to the DC power required for supercapacitor energy storage, and the DC power required for supercapacitor energy storage is converted into the conversion module corresponding to the external current (AC or DC). The interactive control module is a control module that controls the charging and discharging of the entire charging control system based on the relevant charging and discharging data of the charging control system; the charging and discharging period here refers to the period in order to meet the analysis A preset time period corresponding to the amount of data required for interactive charge and discharge control; the energy storage parameter data here refers to the charging parameter data and discharge parameter data related to the historical charging and discharging of the supercapacitor in the supercapacitor energy storage module; each of the energy storage parameter data is averaged, denoised, and low-pass filtered to obtain filtered energy storage parameter data, and the filtered energy storage parameter data is normalized to obtain normalized energy storage parameter data; incomplete data in the normalized energy storage parameter data is identified to obtain an identification result, and a preset linear interpolation formula is used to linearly interpolate the incomplete data in the identification result to obtain preprocessed energy storage parameter data.

[0029] In practical applications, a charging control system is used to monitor and record the energy storage parameter data of the supercapacitor energy storage module during charging and discharging operations within a preset charging and discharging period. These parameters include the voltage, current, temperature, power, etc. of the supercapacitor during charging and discharging, so as to provide real-time status information of the supercapacitor during the charging and discharging process. Then, by calculating the average value of the data within a certain time window, the data is effectively smoothed to remove high-frequency noise, and a low-pass filter is used to allow low-frequency signals to pass while filtering out high-frequency signals to eliminate noise in the energy storage parameter data and retain low-frequency components that reflect the true state of the supercapacitor. Then, the data is adjusted to a certain range, usually between 0 and 1, that is, the difference between each data point and its minimum value is calculated and then divided by the data range (maximum value minus minimum value). Then, these incomplete data points are identified by setting a threshold or using statistical methods, and based on the valid data points on both sides of the missing data point, these incomplete data points are interpolated using a preset linear interpolation formula to interpolate the value of the missing point, where the linear interpolation formula is:

[0030] ;

[0031] in, and are adjacent known data points, and is the corresponding time point, is the time point of missing data, thereby obtaining the preprocessed energy storage parameter data.

[0032] 102. Extracting the capacitor charging characteristics and the capacitor discharging characteristics of the preprocessed energy storage parameter data, and calculating a first interaction weight value corresponding to the charging interaction parameter of the supercapacitor energy storage module using a preset multi-interaction charging model based on the capacitor charging characteristics, and calculating a second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module using a preset multi-interaction charging model based on the capacitor discharging characteristics;

[0033] In this embodiment, the capacitor charging characteristics here refer to the characteristic data of the supercapacitor when charging, such as charging current, charging temperature and charging time; the capacitor discharge characteristics here refer to the characteristic data of the supercapacitor when discharging, such as discharge current, discharge point power, power consumption equipment, discharge temperature and discharge time; the multi-interaction charging model here includes multiple charging prediction models and multiple discharge prediction models, as well as a total interactive calculation model for interactive calculation processing of various models, wherein the charging prediction model is a processing model of various charging characteristics (such as charging current model, charging temperature model and charging time model, etc.), and the discharge prediction model is a processing model of various discharge characteristics (discharge current model, discharge point power model, power consumption equipment identification model, discharge temperature model and discharge time model, etc.); the first interactive weight value here refers to the influence value of various charging interaction parameters on the charging of the supercapacitor when charging; the second interactive weight value here is the influence value of various discharge interaction parameters on the discharge of the supercapacitor when discharging. Identify the multiple charging parameters corresponding to the capacitor energy storage in the pre-processed energy storage parameter data data, and identifying a variety of discharge parameter data of the capacitor's historical discharge in the preprocessed energy storage parameter data; calculating the time series change value corresponding to each of the charging parameter data, and calculating the discharge change value corresponding to each of the discharge parameter data; based on the time series change value, performing a charging characteristic evaluation on the characteristic parameter data to generate a capacitor charging characteristic, and based on the discharge change value, performing a discharge characteristic evaluation on the characteristic parameter data to generate a capacitor discharge characteristic; matching each of the corresponding types of charging prediction models from a preset multi-interactive charging model, and matching each of the corresponding types of discharge prediction models from a preset multi-interactive charging model; using each of the charging prediction models to respectively calculate the initial charging weight value of the charging parameter corresponding to the capacitor charging characteristic, and interactively adjusting the charging parameter to the initial charging weight value to obtain a first interactive weight value; using each of the discharge prediction models to respectively calculate the initial discharge weight value of the discharge parameter corresponding to the capacitor discharge characteristic, and interactively adjusting the discharge parameter to the initial discharge weight value to obtain a second interactive weight value.

[0034] In practical applications, multiple charging parameter data corresponding to capacitor energy storage are identified in the pre-processed energy storage parameter data, such as charging current , charging voltage and charging power , similarly, it also identifies various discharge parameter data of the capacitor's historical discharge, such as discharge current , discharge voltage and discharge power , and then calculate the time series change value corresponding to each charging parameter data. For example, the time series change value of the charging current is calculated by the following formula: ,in, It's in time The charging current, It's in time The charging current, is the time interval, which measures the change in charging current within a specific time interval; similarly, the discharge change value corresponding to the discharge parameter data is calculated, such as by the following formula: Based on these time series change values, the characteristic parameter data is evaluated for charging characteristics, such as the root mean square error, to evaluate the stability of the parameters during the charging process. The root mean square error formula is:

[0035] ;

[0036] Where n is the number of sampling points, It is The charging current change value of each sampling point is: It is the average value of the charging current variation to obtain the current fluctuation value during the supercapacitor charging process, and to generate the capacitor charging characteristics after evaluating other charging parameters; similarly, based on the discharge variation value, the discharge characteristics are evaluated. For example, the discharge efficiency is calculated by the following formula:

[0037] ;

[0038] in, is the power output during the discharge process, It is the power stored before discharge, in order to calculate the efficiency of energy conversion of supercapacitors during discharge, and to generate capacitor discharge characteristics after evaluating other discharge parameters (such as historical power consumption equipment, discharge time, discharge state, etc.); then, through pattern recognition or similarity calculation, a charging prediction model suitable for the current charging characteristics is matched from the preset multi-interaction charging model. Similarly, a discharge prediction model suitable for the current discharge characteristics is matched from the preset multi-interaction discharge model; then, these charging prediction models are used to calculate the initial charging weight value of the charging parameter corresponding to the capacitor charging characteristics. For example, through the following formula: ,in, is the initial charging weight value, is the charging eigenvector, It is a function of the charging prediction model corresponding to each charging parameter to calculate the initial charging weight value corresponding to each charging parameter, and the initial charging weight value of the charging parameter corresponding to the charging and discharging characteristics is calculated using each charging prediction model. In the calculation process, the influencing factors between various charging parameters are fully considered to obtain the first interaction weight value, which is obtained by considering the mutual influencing factors between the charging parameters (such as charging current and charging temperature, etc.), and is implemented by the following formula: ,in, is the first interaction weight value, and is the interaction factor between charging parameters; similarly, the discharge prediction model is used to calculate the initial discharge weight value of the discharge parameter corresponding to the capacitor discharge characteristics, and the influencing factors between various discharge parameters are fully considered in the calculation process, using the following formula: ,in, is the initial discharge weight value, is the discharge eigenvector, It is a function of the discharge prediction model corresponding to each discharge parameter, and the initial discharge weight value is interactively adjusted to obtain the second interactive weight value. By considering the mutual influence between the discharge parameters, it can be obtained by the following formula:

[0039] ;

[0040] in, is the second interaction weight value, and is the adjustment coefficient, is the interaction influence factor between the discharge parameters, and finally the first interaction weight value and the second interaction weight value are obtained.

[0041] 103. Determine an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generate a charging control parameter through the power conversion module based on the capacitance charging state and the second interaction weight value, and monitor a secondary charging state of the supercapacitor energy storage module through the interaction control module;

[0042] In this embodiment, the initial capacitance state here refers to the various capacitance parameter states of the supercapacitor of the supercapacitor energy storage module (such as the charge state, temperature state, and whether it is currently in the charging and discharging state at the same time). Based on the parameter weights corresponding to each of the charging parameters, the weighted average of each of the first interaction weight values ​​is calculated, and based on the weighted average value, the initial capacitance state of the supercapacitor energy storage module is matched; based on the second interaction weight value, at least one historical discharge state of the emergency energy storage power supply is determined, and the initial charging parameter corresponding to the initial capacitance state is determined; using the historical discharge state, the initial charging parameter is generated and adjusted through the power conversion module, the charging control parameter is generated, and the secondary charging state of the supercapacitor energy storage module is monitored through the interactive control module.

[0043] In actual applications, based on the parameter weights corresponding to the charging parameters, a weighted average value of the first interaction weight value is calculated (to reflect the overall impact of all charging parameters on the charging process), where the weighted average value calculation formula is:

[0044] ;

[0045] in, is the weighted average, It is The first interaction weight value corresponding to the charging parameter, is the corresponding weight coefficient, and n is the number of parameters; the weighted average value is then used to find the capacitance state closest to the weighted average value in the historical data by searching or interpolating to obtain the initial capacitance state (wherein the initial capacitance state includes key parameters such as the voltage, current, and temperature of the capacitor); the second interactive weight value is then used. Since the historical discharge state records the performance of the supercapacitor in the past discharge process, including key information such as discharge efficiency and energy release rate, the historical data of the discharge parameters are analyzed, and the state that best matches the current second interactive weight value is found to determine at least one historical discharge state of the emergency energy storage power supply, and determine the initial charging parameters corresponding to the initial capacitance state; the determined historical discharge state is then used to generate the charging control parameters for adjusting the initial charging parameters through the power conversion module, that is, calculated by the conversion formula: ,in, is the charging control parameter, is the initial charging parameter, It is a parameter adjusted based on the historical discharge status. The parameters of the historical discharge state adjustment are determined by genetic algorithm or particle swarm optimization algorithm to search for the optimal solution in the multidimensional parameter space of the parameters of the historical discharge state adjustment The interactive control module then monitors the secondary charging status of the supercapacitor energy storage module. This includes real-time tracking of parameters such as voltage, current, and temperature during the charging process, and dynamically adjusting the charging control parameters based on the monitoring results. The monitoring is updated in real time using the following formula:

[0046] ;

[0047] in, is the state of charge at time t, is the charging status at the previous time point, and are the charging currents at time t and t-1 respectively, is the conversion efficiency, It is a time interval that enables the system to adjust the charging parameters in time to ensure the stability and safety of the charging process. It can also dynamically adjust the charging policy according to the real-time status and historical data of the capacitor, greatly improving the efficiency and reliability of the supercapacitor.

[0048] 104. Based on the secondary charging state, adjust the parameter value of the charging control parameter, and generate a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0049] In this embodiment, the secondary charging power corresponding to the secondary charging state is determined, and the power difference between the capacitor charging power and the initial charging power corresponding to the emergency energy storage power supply is compared; based on the power difference, the parameter value of the charging control parameter corresponding to the charging power is adjusted, and based on the result of the parameter adjustment, the charging control result of the emergency energy storage power supply is generated.

[0050] In practical applications, the real-time status of supercapacitors during the secondary charging process is accurately monitored, including key parameters such as voltage, current, and temperature. Through these real-time data, the system can calculate the actual power output of the capacitor in the current charging stage; then compare the calculated secondary charging power with the initial charging power corresponding to the emergency energy storage power supply to identify the power difference between the two, that is, the difference between the actual charging power and the expected charging power. The calculation of the power difference involves not only a comparison of power size, but also an analysis of power change trends to ensure the stability and efficiency of the charging process; then, based on this power difference, the charging control parameter is adjusted to the parameter value of the charging power. The adjustment formula is: ,in, is the adjusted charging control power, Is the adjustment coefficient, used to adjust the charging power according to the power difference, is the power difference. Adjustment coefficient The system's dynamic response characteristics and control requirements are determined. Ultimately, based on the adjusted charging control parameters, a charging control result for the emergency energy storage power supply is generated. This result includes the new charging parameter settings, an assessment of the charging status, and a prediction of the future charging process. This precise control and adjustment ensures that the supercapacitor operates optimally in emergency power applications, providing stable and reliable power support.

[0051] In an embodiment of the present invention, data analysis of relevant charging and discharging parameters is performed on various energy storage parameter data of the supercapacitor energy storage module to determine the current capacitance state of the supercapacitor, and based on the second interaction weight value of the historical discharge of the supercapacitor energy storage module, combined with the current capacitance state of the supercapacitor, a charging control parameter of the supercapacitor energy storage module is generated, and the real-time charging state of the supercapacitor is monitored to adjust the parameter value corresponding to the capacitor charging power, thereby generating a charging control result of the emergency energy storage power supply to improve the charging efficiency of the emergency power supply based on supercapacitor energy storage.

[0052] See also Figure 2 A second embodiment of the charging control method for an emergency energy storage power supply according to the present invention includes:

[0053] 201. Obtain historical charge and discharge data of the emergency energy storage power supply, and use pre-trained models corresponding to multiple charge and discharge parameters to predict parameter states of corresponding charge and discharge parameters for the historical charge and discharge data to obtain parameter prediction results;

[0054] In this embodiment, historical charge and discharge data related to the emergency energy storage power supply are extracted from a relevant database. These data include the charging and discharging states of the capacitor at different time points, such as voltage, current, power, and energy release rate. After data preprocessing of the historical charge and discharge data, pre-trained models corresponding to various charge and discharge parameters are used to predict the parameter states of the corresponding charge and discharge parameters. This prediction process involves inputting historical data into the model and calculating the possible states of the future charge and discharge parameters through the model's internal algorithm. These prediction results include key information such as the capacitor's future charging efficiency, discharge rate, and energy loss, thereby obtaining parameter prediction results.

[0055] 202. Calculate the interaction correlation value between the parameter prediction result and the actual parameter status of various charge and discharge parameters in the historical charge and discharge data, and adjust the prediction parameter weights of the sub-charge and discharge models corresponding to various charge and discharge parameters in the pre-trained model based on the interaction correlation until the interaction correlation value is greater than a preset interaction threshold, thereby generating a multi-interaction charging model;

[0056] In this embodiment, the correlation coefficient is calculated using the formula:

[0057] ;

[0058] in, is the correlation coefficient, and are the values ​​of the predicted and actual parameters, respectively. and are their average values ​​respectively, to calculate the linear correlation degree between the predicted parameters and the actual parameters to reflect the correlation between the predicted parameters and the actual parameters; then, an interaction threshold is preset based on the charge and discharge characteristics of the supercapacitor. The threshold is used to evaluate whether the interaction correlation value reaches the expected correlation degree. If the interaction correlation value is greater than the preset interaction threshold, it is considered that the prediction accuracy of the model meets the requirements. If not, the model needs to be adjusted to adjust the parameter weights of each sub-model based on the size and direction of the interaction correlation value to reduce the prediction error. Among them, the adjustment not only considers the absolute value of the parameter, but also the rate of change and trend of the parameter to ensure that the prediction result of the model is closer to the actual charge and discharge state. The adjusted model will be predicted again and compared with the actual data to calculate a new interaction correlation value until the interaction correlation value is greater than the preset interaction threshold. When the interaction correlation values ​​of all sub-models reach or exceed this threshold, the system will generate a multi-interaction charging model, which is a composite model that integrates the prediction results of multiple sub-models. It can more accurately predict the charge and discharge state of the supercapacitor.

[0059] 203. Acquire multiple energy storage parameter data of the supercapacitor energy storage module within a preset charge and discharge period, and perform multiple charge and discharge preprocessing on each energy storage parameter data to obtain preprocessed energy storage parameter data;

[0060] 204. Extracting the capacitor charging characteristics and the capacitor discharging characteristics of the preprocessed energy storage parameter data, and calculating a first interaction weight value corresponding to the charging interaction parameter of the supercapacitor energy storage module based on the capacitor charging characteristics using a preset multi-interaction charging model, and calculating a second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module based on the capacitor discharging characteristics using a preset multi-interaction charging model;

[0061] 205. Determine an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generate a charging control parameter through the power conversion module based on the capacitance charging state and the second interaction weight value, and monitor a secondary charging state of the supercapacitor energy storage module through the interaction control module;

[0062] 206. Adjust the parameter value of the charging control parameter based on the secondary charging state, and generate a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0063] In an embodiment of the present invention, data analysis of relevant charging and discharging parameters is performed on various energy storage parameter data of the supercapacitor energy storage module to determine the current capacitance state of the supercapacitor, and based on the second interaction weight value of the historical discharge of the supercapacitor energy storage module, combined with the current capacitance state of the supercapacitor, a charging control parameter of the supercapacitor energy storage module is generated, and the real-time charging state of the supercapacitor is monitored to adjust the parameter value corresponding to the capacitor charging power, thereby generating a charging control result of the emergency energy storage power supply to improve the charging efficiency of the emergency power supply based on supercapacitor energy storage.

[0064] The above describes the charging control method of the emergency energy storage power supply in the embodiment of the present invention. The following describes the charging control device of the emergency energy storage power supply in the embodiment of the present invention. Figure 3 In one embodiment of the present invention, a charging control device for an emergency energy storage power supply includes:

[0065] An acquisition module 301 is configured to acquire a plurality of energy storage parameter data of the supercapacitor energy storage module within a preset charge and discharge period, and perform a plurality of charge and discharge preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data;

[0066] A calculation module 302 is configured to extract the capacitor charging characteristics and the capacitor discharging characteristics of the preprocessed energy storage parameter data, and calculate, based on the capacitor charging characteristics, a first interaction weight value corresponding to the charging interaction parameter of the supercapacitor energy storage module using a preset multi-interaction charging model, and calculate, based on the capacitor discharging characteristics, a second interaction weight value corresponding to the discharge interaction parameter of the supercapacitor energy storage module using a preset multi-interaction charging model;

[0067] a determination module 303, configured to determine an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generate a charging control parameter through the power conversion module based on the capacitance charging state and the second interaction weight value, and monitor a secondary charging state of the supercapacitor energy storage module through the interaction control module;

[0068] The adjustment module 304 is configured to adjust the parameter value of the charging control parameter based on the secondary charging state, and generate a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

[0069] In an embodiment of the present invention, data analysis of relevant charging and discharging parameters is performed on various energy storage parameter data of the supercapacitor energy storage module to determine the current capacitance state of the supercapacitor, and based on the second interaction weight value of the historical discharge of the supercapacitor energy storage module, combined with the current capacitance state of the supercapacitor, a charging control parameter of the supercapacitor energy storage module is generated, and the real-time charging state of the supercapacitor is monitored to adjust the parameter value corresponding to the capacitor charging power, thereby generating a charging control result of the emergency energy storage power supply to improve the charging efficiency of the emergency power supply based on supercapacitor energy storage.

[0070] above Figure 3 The charging control device of the emergency energy storage power supply in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The charging control device of the emergency energy storage power supply in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0071] Figure 4 This is a schematic diagram of the structure of a charging control device for an emergency energy storage power supply provided by an embodiment of the present invention. The charging control device 400 for an emergency energy storage power supply may vary significantly depending on its configuration or performance. It may include one or more central processing units (CPUs) 410 (e.g., one or more processors), memory 420, and one or more storage media 430 (e.g., one or more mass storage devices) storing application programs 433 or data 432. The memory 420 and storage media 430 may be either transient or persistent storage. The program stored in the storage medium 430 may include one or more modules (not shown), each of which may include a series of instructions for operating on the charging control device 400 for the emergency energy storage power supply. Furthermore, the processor 410 may be configured to communicate with the storage medium 430 to execute the series of instructions stored in the storage medium 430 on the charging control device 400 for the emergency energy storage power supply.

[0072] The charging control device 400 of the emergency energy storage power supply may further include one or more power supplies 440, one or more wired or wireless network interfaces 450, one or more input and output interfaces 460, and / or one or more operating systems 431, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. It will be understood by those skilled in the art that Figure 4 The illustrated charging control device structure of the emergency energy storage power supply does not constitute a limitation on the charging control device of the emergency energy storage power supply, and may include more or fewer components than illustrated, or a combination of certain components, or a different arrangement of components.

[0073] The present invention also provides a charging control device for an emergency energy storage power supply. The computer device includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor executes each step of the charging control method for the emergency energy storage power supply in the above-mentioned embodiments.

[0074] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions. When the instructions are executed on a computer, the computer executes the various steps of the charging control method for the emergency energy storage power supply.

[0075] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0076] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0077] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0078] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A charging control method for an emergency energy storage power supply, applied to a charging control system, characterized in that: The charging control system includes a supercapacitor energy storage module, a power conversion module and an interactive control module. The charging control method of the emergency energy storage power supply includes: Acquire multiple energy storage parameter data of the supercapacitor energy storage module within a preset charge and discharge period, and perform multiple charge and discharge preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data; Identify multiple charging parameter data corresponding to capacitor energy storage in the preprocessed energy storage parameter data, and identify multiple discharge parameter data of historical capacitor discharge in the preprocessed energy storage parameter data; calculate the time series change value corresponding to each charging parameter data, and calculate the discharge change value corresponding to each discharge parameter data; based on the time series change value, perform charging characteristic evaluation on the characteristic parameter data to generate a capacitor charging characteristic, and based on the discharge change value, perform discharge characteristic evaluation on the characteristic parameter data to generate a capacitor discharge characteristic, and match each corresponding type of charging prediction model from the preset multiple interactive charging models, and match each corresponding type of discharge prediction model from the preset multiple interactive charging models; use each charging prediction model to calculate the initial charging weight value of the charging parameter corresponding to the capacitor charging characteristic, and interactively adjust the charging parameter to obtain a first interactive weight value; use each discharge prediction model to calculate the initial discharge weight value of the discharge parameter corresponding to the capacitor discharge characteristic, and interactively adjust the discharge parameter to obtain a second interactive weight value; Determining an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generating a charging control parameter through the power conversion module based on the initial capacitance state and the second interaction weight value, and monitoring a secondary charging state of the supercapacitor energy storage module through the interaction control module; Based on the secondary charging state, the parameter value of the charging control parameter is adjusted, and based on the result of the parameter adjustment, the charging control result of the emergency energy storage power supply is generated.

2. The charging control method of the emergency energy storage power supply according to claim 1, characterized in that: The performing of multiple charge and discharge preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data includes: performing average denoising and low-pass filtering on each of the energy storage parameter data to obtain filtered energy storage parameter data, and normalizing the filtered energy storage parameter data to obtain normalized energy storage parameter data; Identify the incomplete data in the normalized energy storage parameter data to obtain an identification result, and use a preset linear interpolation formula to perform linear interpolation on the incomplete data in the identification result to obtain preprocessed energy storage parameter data.

3. The charging control method of the emergency energy storage power supply according to claim 1, characterized in that: The method of determining an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generating a charging control parameter through the power conversion module based on the initial capacitance state and the second interaction weight value, and monitoring a secondary charging state of the supercapacitor energy storage module through the interaction control module includes: Based on the parameter weights corresponding to the charging parameters, calculating a weighted average of the first interaction weight values, and matching the initial capacitance state of the supercapacitor energy storage module based on the weighted average value; Determining at least one historical discharge state of the emergency energy storage power supply based on the second interaction weight value, and determining an initial charging parameter corresponding to the initial capacitance state; The historical discharge state is utilized to generate and adjust the initial charging parameters and generate charging control parameters through the power conversion module, and the secondary charging state of the supercapacitor energy storage module is monitored through the interactive control module.

4. The charging control method of the emergency energy storage power supply according to claim 1, characterized in that: The adjusting the parameter value of the charging control parameter based on the secondary charging state, and generating the charging control result of the emergency energy storage power supply based on the result of the parameter adjustment, includes: Determining a secondary charging power corresponding to the secondary charging state, and comparing a power difference between the capacitor charging power and an initial charging power corresponding to the emergency energy storage power supply; Based on the power difference, the parameter value of the charging control parameter corresponding to the charging power is adjusted, and based on the result of the parameter adjustment, the charging control result of the emergency energy storage power supply is generated.

5. The charging control method of the emergency energy storage power supply according to claim 1, characterized in that: Before obtaining the various energy storage parameter data of the supercapacitor energy storage module within the preset charge and discharge period, the method further includes: Acquire historical charge and discharge data of the emergency energy storage power supply, and use pre-trained models corresponding to multiple charge and discharge parameters to predict parameter states of corresponding charge and discharge parameters for the historical charge and discharge data to obtain parameter prediction results; The interactive correlation value between the parameter prediction result and the actual parameter status of various charge and discharge parameters in the historical charge and discharge data is calculated, and based on the interactive correlation, the prediction parameter weights of the sub-charge and discharge models corresponding to various charge and discharge parameters in the pre-trained model are adjusted until the interactive correlation value is greater than the preset interaction threshold, thereby generating a multi-interaction charging model.

6. A charging control device for an emergency energy storage power supply, applied to a charging control system, characterized in that: The charging control system includes a supercapacitor energy storage module, a power conversion module and an interactive control module. The charging control device of the emergency energy storage power supply includes: An acquisition module is used to obtain multiple energy storage parameter data of the supercapacitor energy storage module within a preset charge and discharge period, and perform multiple charge and discharge preprocessing on each of the energy storage parameter data to obtain preprocessed energy storage parameter data; A calculation module, configured to identify a plurality of charging parameter data corresponding to capacitor energy storage in the preprocessed energy storage parameter data, and to identify a plurality of discharge parameter data of historical capacitor discharge in the preprocessed energy storage parameter data; calculate a time series change value corresponding to each of the charging parameter data, and calculate a discharge change value corresponding to each of the discharge parameter data; perform a charging characteristic evaluation on the characteristic parameter data based on the time series change value to generate a capacitor charging characteristic, and perform a discharge characteristic evaluation on the characteristic parameter data based on the discharge change value to generate a capacitor discharge characteristic, and match a charging prediction model of each corresponding type from a preset multi-interactive charging model, and match a discharge prediction model of each corresponding type from a preset multi-interactive charging model; calculate an initial charging weight value of the charging parameter corresponding to the capacitor charging characteristic using each of the charging prediction models, and interactively adjust the charging parameter to obtain a first interactive weight value; calculate an initial discharge weight value of the discharge parameter corresponding to the capacitor discharge characteristic using each of the discharge prediction models, and interactively adjust the discharge parameter to obtain a second interactive weight value; a determination module, configured to determine an initial capacitance state of the supercapacitor energy storage module based on the first interaction weight value, generate a charging control parameter through the power conversion module based on the initial capacitance state and the second interaction weight value, and monitor a secondary charging state of the supercapacitor energy storage module through the interaction control module; An adjustment module is used to adjust the parameter value of the charging control parameter based on the secondary charging state, and generate a charging control result of the emergency energy storage power supply based on the result of the parameter adjustment.

7. A charging control device for an emergency energy storage power supply, characterized in that: The charging control device of the emergency energy storage power supply includes: a memory and at least one processor, wherein the memory stores instructions; The at least one processor calls the instructions in the memory to enable the charging control device of the emergency energy storage power supply to execute each step of the charging control method of the emergency energy storage power supply according to any one of claims 1 to 5.

8. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the charging control method for the emergency energy storage power supply as described in any one of claims 1 to 5 are implemented.

Images