A method for correlative analysis of the dynamic response performance of energy storage charge and discharge

Abstract

The present invention discloses a method for correlative analysis of the dynamic response performance of energy storage charging and discharging, which relates to the technical field of energy storage control. The method for correlative analysis of the dynamic response performance of energy storage charging and discharging includes the following steps: obtaining an environmental interference score; obtaining a dynamic response evaluation value; obtaining a potential energy change amount; obtaining a correlation index. By obtaining the environmental interference score according to the change of environmental parameters during the charging and discharging process of the target energy storage system and comparing it with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, then evaluating the dynamic response performance to obtain the dynamic response evaluation value, and finally performing a correlative analysis on the charging and discharging mode of the target energy storage system according to the obtained potential energy change amount to obtain the correlation index, the present invention achieves the effect of improving the accuracy of the correlative analysis of the dynamic response performance during the charging and discharging process of the energy storage system, and solves the problem of low accuracy of the correlative analysis of the dynamic response performance during the charging and discharging process of the energy storage system in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage control, and particularly to a method for analyzing the correlation of the dynamic response performance of energy storage charge and discharge. Background Art

[0002] With the rapid development of energy technologies and the large-scale application of renewable energy, energy storage systems play an increasingly important role in the modern energy system. In the actual application of energy storage systems, their charge and discharge dynamic response performance is affected by various factors, including the physical properties of energy storage media, the control strategies of battery management systems, environmental temperature, and grid load, etc. These factors interact with each other and jointly determine the charge and discharge behavior of energy storage systems. However, traditional methods for analyzing the dynamic response performance of energy storage charge and discharge often only focus on a single factor or the simple relationship between several factors, while ignoring the overall complexity and dynamics of the system. Therefore, it is necessary to develop a more comprehensive and in-depth method for analyzing the correlation of the dynamic response performance of energy storage charge and discharge to better guide the design and optimization of energy storage systems.

[0003] The existing technology improves the analysis efficiency of the dynamic response performance of energy storage systems by obtaining the charge and discharge data and external environment data of the energy storage system during the charge and discharge process, constructing a dynamic response model, visualizing the variation law of parameters of the energy storage system during the charge and discharge process according to the constructed dynamic response model, and performing a correlation analysis on the dynamic response performance of the energy storage system with respect to the dynamic response model.

[0004] For example, a method and system for automatically adjusting the charge and discharge of a hybrid energy storage battery disclosed in the invention patent announcement with the publication number of CN116846042B includes: a data acquisition module that continuously obtains the light intensity, as well as the internal resistance, battery capacity, maximum charging current, and voltage of three battery modules, namely lithium batteries, lead-acid batteries, and solar batteries; uses an improved bee algorithm to process the data continuously acquired by the data acquisition module to generate a charge and discharge plan; and adjusts the charging voltage and current and the discharging voltage and current of the lithium battery and the lead-acid battery, as well as the charging voltage and current of the solar battery according to the charge and discharge plan generated by the improved bee algorithm.

[0005] For example, a supercapacitor charge and discharge safety protection method and device disclosed in a patent application with the publication number CN118630877A includes: receiving real-time charge and discharge tasks of a target capacitor, parsing task requirements, and generating an initial charge and discharge strategy; simulating charge and discharge tasks under standard conditions to obtain a sequence of capacitor state changes during the entire charge and discharge process; predicting environmental indicators based on the real-time working environment of the target capacitor to obtain a sequence of environmental indicator changes; performing synchronous interference analysis based on the capacitor state change sequence and the environmental indicator change sequence to obtain environmental interference potential energy; performing fitting optimization of the initial charge and discharge strategy based on the environmental interference potential energy to obtain an optimal charge and discharge strategy; and performing dynamic adjustment of the charge and discharge of the target capacitor by combining real-time charge and discharge state data and real-time environmental state data.

[0006] However, in the process of implementing the inventive technical solution in the embodiments of the present application, it is found that the above technology has at least the following technical problems:

[0007] In the prior art, the construction of a dynamic response model often ignores the energy conversion law of the energy storage system itself, resulting in a deviation between the actual charge and discharge process and the expected charge and discharge process, being unable to accurately capture the relationship between charge and discharge parameters, and there is a problem of low accuracy in the correlation analysis of the dynamic response performance of the energy storage system during the charge and discharge process. Summary of the Invention

[0008] The embodiments of the present application provide a method for correlative analysis of the dynamic response performance of energy storage charge and discharge, which solves the problem of low accuracy in the correlative analysis of the dynamic response performance of the energy storage system during the charge and discharge process in the prior art, and realizes an improvement in the accuracy of the correlative analysis of the dynamic response performance of the energy storage system during the charge and discharge process.

[0009] An embodiment of the present application provides a correlation analysis method for the dynamic response performance of energy storage charging and discharging, including the following steps: Step 1, obtain the environmental parameters of the target energy storage system within a preset charging and discharging region, and obtain an environmental interference score according to the changes in the environmental parameters during the charging and discharging process of the target energy storage system. The environmental interference score is used to evaluate the influence degree of environmental factors on the charging and discharging performance of the target energy storage system; Step 2, compare the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, and evaluate the dynamic response performance of the target energy storage system according to the adjusted charging and discharging parameters to obtain a dynamic response evaluation value. The dynamic response evaluation value is used to reflect the dynamic response performance level of the target energy storage system after the charging and discharging parameters are adjusted; Step 3, judge whether there is an optimization space for the charging and discharging mode according to the obtained dynamic response evaluation value and the dynamic response threshold range, and simultaneously monitor the potential energy change of the target energy storage system during the adjustment process of the charging and discharging parameters in real time to obtain a potential energy change amount. The potential energy change amount is used to reflect the energy change situation of the target energy storage system during the charging and discharging process; Step 4, perform a correlation analysis on the charging and discharging mode of the target energy storage system according to the potential energy change amount to obtain a correlation index, and simultaneously judge whether to execute the initial charging and discharging power adjustment based on the correlation index. The correlation index is used to evaluate the correlation degree between the charging and discharging potential energy and the dynamic response performance of the target energy storage system.

[0010] Further, the environmental interference score is obtained through the following method: Monitor the changes in the environmental parameters of the battery in the target energy storage system within a preset time period in real time to obtain an environmental parameter change amount. The environmental parameters include temperature, air pressure, and humidity. The environmental parameter change amount includes a temperature change amount, an air pressure change amount, and a humidity change amount. The temperature change amount is the starting temperature difference of the battery within the corresponding preset time period during the charging and discharging process. The air pressure change amount is the starting air pressure difference of the battery within the corresponding preset time period during the charging and discharging process. The humidity change amount is the starting humidity difference of the battery within the corresponding preset time period during the charging and discharging process; Obtain the air pressure interference coefficient and the humidity interference coefficient and perform a summation average operation, and simultaneously combine the processing result of the obtained temperature interference coefficient to obtain an environmental interference score. The temperature interference coefficient represents the ratio of the multiplication result of the temperature change amount weight factor and the temperature change amount to the reference temperature change amount. The air pressure interference coefficient represents the ratio of the multiplication result of the air pressure change amount weight factor and the air pressure change amount to the reference air pressure change amount. The humidity interference coefficient represents the ratio of the multiplication result of the humidity change amount weight factor and the humidity change amount to the reference humidity change amount.

[0011] Further, the specific process of evaluating the dynamic response performance of the target energy storage system according to the adjusted charge and discharge parameters to obtain the dynamic response evaluation value is as follows: Obtain the discharge duration and discharge efficiency during the discharge process of the target energy storage system within a preset time period. The discharge duration is the duration of the discharge process of the target energy storage system within the preset time period, and the discharge efficiency is the ratio of the total amount of released electric energy at the end of the preset time period to the initial stored electric energy at the beginning; Obtain the charge duration and charge efficiency during the charging process of the target energy storage system within the preset time period. The charge duration is the duration of the charging process of the target energy storage system within the preset time period, and the charge efficiency is the ratio of the actual stored electric energy at the end of the preset time period to the total initial electric energy at the beginning; Process the discharge efficiency and the charge efficiency respectively to obtain the discharge efficiency score and the charge efficiency score; Obtain the discharge duration score according to the processing results of the discharge duration, the minimum allowable discharge duration, and the maximum allowable discharge duration;

[0012] Obtain the charge duration score according to the processing results of the charge duration, the minimum allowable charge duration, and the maximum allowable charge duration; Obtain the discharge response evaluation value and the charge response evaluation value, sum and average them, and then perform an exponential operation to obtain the dynamic response evaluation value. The discharge response evaluation value is the product of the discharge efficiency score and the discharge duration score, and the charge response evaluation value is the product of the charge efficiency score and the charge duration score; The dynamic response performance includes the charge and discharge duration, the charge efficiency, and the discharge efficiency; The charge and discharge duration includes the charge duration and the discharge duration.

[0013] Further, the specific limit expression of the dynamic response evaluation value is:

[0014] ;

[0015] ;

[0016] ;

[0017] ;

[0018] ;

[0019] ;

[0020] ;

[0021] ;

[0022] ;

[0023] where t is the number of the preset time period, , where T is the total number of preset time periods, and e is the natural constant, represents the dynamic response evaluation value during the charge and discharge process of the target energy storage system within a preset time period, represents the discharge response evaluation value during the discharge process of the target energy storage system in the t-th preset time period, represents the charge response evaluation value during the charge process of the target energy storage system in the t-th preset time period, represents the discharge efficiency fraction during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge efficiency during the discharge process of the target energy storage system in the t-th preset time period, represents the total amount of released electric energy during the discharge process of the target energy storage system in the t-th preset time period, represents the initial stored electric energy during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge duration fraction during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the minimum allowable discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the maximum allowable discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the charge efficiency fraction during the charge process of the target energy storage system in the t-th preset time period, represents the charge efficiency during the charge process of the target energy storage system in the t-th preset time period, represents the actual stored electric energy during the charge process of the target energy storage system in the t-th preset time period, represents the total initial electric energy during the charge process of the target energy storage system in the t-th preset time period, represents the charge duration fraction during the charge process of the target energy storage system in the t-th preset time period, represents the charge duration during the charge process of the target energy storage system in the t-th preset time period, represents the minimum allowable charge duration during the charge process of the target energy storage system in the t-th preset time period, represents the maximum allowable charge duration during the charge process of the target energy storage system in the t-th preset time period, represents the environmental interference fraction during the charge and discharge process of the battery of the target energy storage system within a preset time period, represents the environmental interference threshold range.

[0024] Further, the specific steps for obtaining the potential energy change amount are as follows: L1, obtain the voltage data and current data during the charging and discharging processes of the target energy storage system, and perform a multiplication operation on the voltage data and current data to obtain the instantaneous power data; L2, determine whether the instantaneous power data is negative. If so, integrate the corresponding instantaneous power data based on a preset time period to obtain the discharge potential energy change amount, otherwise execute L3; L3, determine whether the instantaneous power data is positive. If so, integrate the corresponding instantaneous power data based on a preset time period to obtain the charge potential energy change amount, otherwise record the corresponding instantaneous power data as 0; The potential energy change amount includes the charge potential energy change amount and the discharge potential energy change amount; The charge potential energy change amount is the increase in potential energy during the charging process of the target energy storage system; The discharge potential energy change amount is the decrease in potential energy during the discharging process of the target energy storage system.

[0025] Further, the correlation index is obtained by the following method: Obtain the voltage volatility and current volatility during the charging and discharging processes of the target energy storage system within a preset time period. The voltage volatility is the ratio of the difference between the maximum voltage and the minimum voltage to the rated voltage, and the current volatility is the ratio of the difference between the maximum current and the minimum current to the rated current; Add the obtained charge potential energy change amount fraction and discharge potential energy change amount fraction to obtain the potential energy change amount fraction. The charge potential energy change amount fraction represents the ratio of the difference in the charge potential energy change amount to the maximum allowable change amount of the charge potential energy. The difference in the charge potential energy change amount is the difference between the maximum value of the charge potential energy change amount and the charge potential energy change amount. The maximum allowable change amount of the charge potential energy is the difference between the maximum value of the charge potential energy change amount and the minimum value of the charge potential energy change amount. The discharge potential energy change amount fraction represents the ratio of the difference in the discharge potential energy change amount to the maximum allowable change amount of the discharge potential energy. The difference in the discharge potential energy change amount is the difference between the maximum value of the absolute value of the discharge potential energy change amount and the absolute value of the discharge potential energy change amount. The maximum allowable change amount of the discharge potential energy is the difference between the maximum value of the absolute value of the discharge potential energy change amount and the minimum value of the absolute value of the discharge potential energy change amount; Multiply the sum average result of the voltage volatility and the current volatility by the potential energy change amount fraction and perform processing to obtain the correlation index.

[0026] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0027] 1. By obtaining the environmental interference score based on the changes in environmental parameters during the charge and discharge process of the target energy storage system and comparing it with the environmental interference threshold range to determine whether to adjust the charge and discharge parameters, then evaluating the dynamic response performance to obtain the dynamic response evaluation value, and finally performing a correlation analysis on the charge and discharge modes of the target energy storage system based on the obtained potential energy change amount to obtain the correlation index, the more accurate acquisition of the correlation index is achieved. Furthermore, the accuracy of the correlation analysis of the dynamic response performance during the charge and discharge process of the energy storage system is improved, effectively solving the problem of low accuracy in the correlation analysis of the dynamic response performance during the charge and discharge process of the energy storage system in the prior art.

[0028] 2. By continuously monitoring the changes in the environmental parameters of the battery in the target energy storage system within a preset time period to obtain the change amount of the environmental parameters, then obtaining the air pressure interference coefficient and the humidity interference coefficient and performing a summation and averaging operation, and finally combining the processing results of the obtained temperature interference coefficient to obtain the environmental interference score, the accuracy of obtaining the environmental interference score is improved. Furthermore, the more accurate analysis of the environmental parameters during the charge and discharge process is achieved.

[0029] 3. By processing the discharge efficiency and the charge efficiency respectively to obtain the discharge efficiency score and the charge efficiency score, and at the same time, based on the obtained discharge duration score and the charge duration score and combining the discharge response evaluation value and the charge response evaluation value to obtain the dynamic response evaluation value, the accuracy of obtaining the dynamic response evaluation value is improved. Furthermore, the more accurate evaluation of the dynamic response performance is achieved. Description of the Drawings

[0030] Figure 1 It is a flowchart of a method for correlative analysis of dynamic response performance of energy storage charge and discharge provided by an embodiment of the present application;

[0031] Figure 2 It is a specific analysis flowchart of the charge and discharge process provided by an embodiment of the present application;

[0032] Figure 3 It is a two-dimensional coordinate diagram of the discharge response evaluation value provided by an embodiment of the present application;

[0033] Figure 4 It is a two-dimensional coordinate diagram of the charge response evaluation value provided by an embodiment of the present application. Detailed Embodiments

[0034] Embodiments of the present application provide a method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging, which solves the problem of low accuracy in the correlation analysis of the dynamic response performance of energy storage systems during the charging and discharging process in the prior art. By obtaining the environmental parameters of the target energy storage system within a preset charging and discharging area, obtaining the environmental interference score according to the change of the environmental parameters during the charging and discharging process of the target energy storage system, then comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, and at the same time evaluating the dynamic response performance of the target energy storage system according to the adjusted charging and discharging parameters to obtain the dynamic response evaluation value, then judging whether there is room for optimization of the charging and discharging mode according to the obtained dynamic response evaluation value and the dynamic response threshold range, and at the same time monitoring the potential energy change of the target energy storage system during the adjustment of the charging and discharging parameters in real time to obtain the potential energy change amount, and finally analyzing the correlation of the charging and discharging mode of the target energy storage system according to the potential energy change amount to obtain the correlation index, and at the same time judging whether to execute the initial charging and discharging power adjustment based on the correlation index, which improves the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process.

[0035] The technical solution in the embodiments of the present application aims to solve the problem of low accuracy in the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process, and the general idea is as follows:

[0036] By comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, then evaluating the dynamic response performance to obtain the dynamic response evaluation value, and finally analyzing the correlation of the charging and discharging mode of the target energy storage system according to the obtained potential energy change amount to obtain the correlation index, the effect of improving the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process is achieved.

[0037] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0038] Such as Figure 1As shown in the figure, it is a flowchart of a method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging provided by an embodiment of the present application. The method includes the following steps: Step 1, obtaining the environmental interference score: obtaining the environmental parameters of the target energy storage system within the preset charging and discharging area, and obtaining the environmental interference score according to the change of the environmental parameters during the charging and discharging process of the target energy storage system. The environmental interference score is used to evaluate the influence degree of environmental factors on the charging and discharging performance of the target energy storage system; Step 2, obtaining the dynamic response evaluation value: comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, and evaluating the dynamic response performance of the target energy storage system according to the adjusted charging and discharging parameters to obtain the dynamic response evaluation value. The dynamic response evaluation value is used to reflect the dynamic response performance level of the target energy storage system after the charging and discharging parameters are adjusted; Step 3, obtaining the potential energy change amount: judging whether there is an optimization space for the charging and discharging mode according to the obtained dynamic response evaluation value and the dynamic response threshold range, and simultaneously monitoring the change of the potential energy of the target energy storage system during the adjustment of the charging and discharging parameters in real time to obtain the potential energy change amount. The potential energy change amount is used to reflect the energy change situation of the target energy storage system during the charging and discharging process; Step 4, obtaining the correlation index: performing a correlation analysis on the charging and discharging mode of the target energy storage system according to the potential energy change amount to obtain the correlation index, and simultaneously judging whether to execute the initial charging and discharging power adjustment based on the correlation index. The correlation index is used to evaluate the correlation degree between the charging and discharging potential energy and the dynamic response performance of the target energy storage system.

[0039] In this embodiment, before obtaining the environmental parameters of the target energy storage system within the preset charging and discharging area, it further includes: performing charging and discharging operations on the target energy storage system within the preset charging and discharging area according to an external charging and discharging instruction, where the external charging and discharging instruction (sent by an external power system dispatching center) is received by the charging and discharging interface in the target energy storage system, and usually includes a charging and discharging duration instruction, a charging and discharging rate instruction, and a charging and discharging depth instruction; the target energy storage system is usually a lithium-ion battery energy storage system, such as Figure 2 As shown in the figure, it is a specific analysis flowchart of the charging and discharging process provided by an embodiment of the present application. By real-time monitoring of environmental parameters, adjusting charging and discharging parameters, evaluating dynamic response performance, monitoring potential energy change, and performing correlation analysis, the comprehensive optimization of the charging and discharging performance of the lithium-ion battery energy storage system is realized. This optimization method not only considers the influence of environmental factors on the dynamic response performance of the target energy storage system, but also improves the accuracy of the correlation analysis of the dynamic response performance during the charging and discharging process of the energy storage system through real-time monitoring and correlation analysis.

[0040] It should be added that the environmental interference score is obtained through the following method: the changes in the environmental parameters of the battery in the target energy storage system are monitored in real time within a preset time period to obtain the changes in the environmental parameters. The environmental parameters include temperature, air pressure, and humidity. The changes in the environmental parameters include the change in temperature, the change in air pressure, and the change in humidity. The change in temperature is the starting temperature difference of the battery during the charge and discharge process within the corresponding preset time period (the difference between the temperature at the end point and the starting point corresponding to the preset time period). The change in air pressure is the starting air pressure difference of the battery during the charge and discharge process within the corresponding preset time period (the difference between the air pressure at the end point and the starting point corresponding to the preset time period). The change in humidity is the starting humidity difference of the battery during the charge and discharge process within the corresponding preset time period (the difference between the humidity at the end point and the starting point corresponding to the preset time period). The air pressure interference coefficient and the humidity interference coefficient are obtained and subjected to a summation and averaging operation, and at the same time, the processing result of the obtained temperature interference coefficient is combined to obtain the environmental interference score. The temperature interference coefficient represents the ratio of the multiplication result of the temperature change amount weighting factor and the temperature change amount to the reference temperature change amount. The air pressure interference coefficient represents the ratio of the multiplication result of the air pressure change amount weighting factor and the air pressure change amount to the reference air pressure change amount. The humidity interference coefficient represents the ratio of the multiplication result of the humidity change amount weighting factor and the humidity change amount to the reference humidity change amount.

[0041] Among them, the temperature (usually between 0°C and 40°C) is measured by a temperature measuring instrument deployed inside the preset charge and discharge area. The humidity (usually between 0%RH and 60%RH) is measured by a humidity measuring instrument deployed inside the preset charge and discharge area. The air pressure (usually between 0 atm and 1 atm) is measured by a barometer deployed inside the preset charge and discharge area. Among them, the temperature measuring instrument, the humidity measuring instrument, and the barometer are deployed at the same location (such as the power input end) of the target energy storage system.

[0042] The reference temperature change amount is represented by the result of summing and averaging the historical temperature change amounts within the historical time period in the preset database. The reference air pressure change amount is represented by the result of summing and averaging the historical air pressure change amounts within the historical time period in the preset database. The reference humidity change amount is represented by the result of summing and averaging the historical humidity change amounts within the historical time period in the preset database.

[0043] It should be understood that before the target energy storage system undergoes charge and discharge, dividing the charge and discharge process into multiple preset time periods of the same time length helps to ensure the consistency and comparability of the data and can more effectively capture the dynamic changes in the environmental parameters during the charge and discharge process of the target energy storage system.

[0044] Specifically, the temperature change amount weight factor is the weight factor corresponding to the environmental interference score acquisition process in the preset database, representing the value corresponding to the influence degree of the temperature change amount on the environmental interference score. When in use, the temperature change amount weight factor corresponding to the temperature change amount can be directly obtained from the preset database, and its corresponding relationship can be a pre-set mapping relationship. For example, the temperature change amount corresponding to the temperature change amount in the environmental interference score acquisition process and the weight factor corresponding to the temperature change amount in the preset database form a mapping set, and the real-time temperature change amount is input into the mapping set to obtain the corresponding temperature change amount weight factor, where the mapping relationship can be a one-to-one or many-to-one relationship. In this example, the value range of the temperature change amount weight factor is .

[0045] The air pressure change amount weight factor is the weight factor corresponding to the environmental interference score acquisition process in the preset database, representing the value corresponding to the influence degree of the air pressure change amount on the environmental interference score. When in use, the air pressure change amount weight factor corresponding to the air pressure change amount can be directly obtained from the preset database, and its corresponding relationship can be a pre-set mapping relationship. For example, the air pressure change amount corresponding to the air pressure change amount in the environmental interference score acquisition process and the weight factor corresponding to the air pressure change amount in the preset database form a mapping set, and the real-time air pressure change amount is input into the mapping set to obtain the corresponding air pressure change amount weight factor, where the mapping relationship can be a one-to-one or many-to-one relationship. In this example, the value range of the air pressure change amount weight factor is .

[0046] It should be noted that the sum of the temperature change amount weight factor, the air pressure change amount weight factor and the humidity change amount weight factor is 1.

[0047] Specifically, the specific limit expression of the environmental interference score is:

[0048] ;

[0049] In the formula, t is the number of the preset time period, , T is the total number of the preset time periods, e is the natural constant, represents the environmental interference score during the charge and discharge process of the battery of the target energy storage system in the preset time period, represents the temperature change amount weight factor, represents the temperature change amount during the charge and discharge process of the battery of the target energy storage system in the t-th preset time period, represents the reference temperature change amount, represents the air pressure change amount weight factor, represents the air pressure change amount during the charge and discharge process of the battery of the target energy storage system in the t-th preset time period, represents the reference air pressure change amount, represents the humidity change amount weight factor, represents the humidity change amount during the charge and discharge process of the battery of the target energy storage system within the t-th preset time period, represents the reference humidity change amount.

[0050] It should be understood that the environmental interference score (the smaller the better) decreases with the increase of the temperature change amount and increases with the increase of the air pressure change amount and the humidity change amount; in a lithium-ion battery energy storage system, an increase in the temperature change amount means that the temperature of the lithium-ion battery increases during the charge and discharge process, accelerating the chemical reaction (i.e., the charge and discharge rate); an increase in the air pressure change amount means that the electrode material of the lithium-ion battery will expand during the charge and discharge process, which may cause a short circuit inside the battery, thereby reducing the charge and discharge efficiency; an increase in the humidity change amount means that the electrode material of the lithium-ion battery will corrode during the discharge process, which may cause a short circuit inside the battery, thereby reducing the charge and discharge efficiency.

[0051] It should be noted that the temperature change amount also indirectly affects the values of the air pressure change amount and the humidity change amount. When the temperature change amount increases (i.e., when the temperature rises), the saturated water vapor content in the air will increase (i.e., the humidity change amount increases). At the same time, the air pressure in the air will also increase (in the same sealed environment), thereby increasing the short circuit risk of the lithium-ion battery. Therefore, these changes in temperature, air pressure, and humidity will jointly affect the charge and discharge performance of the lithium-ion battery. By considering the above indirect influence mechanism, it helps to more comprehensively understand the state change of the lithium-ion battery during the charge and discharge process, and further improves the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charge and discharge process, effectively solving the problem of low accuracy of the correlation analysis of the dynamic response performance of the energy storage system in the prior art during the charge and discharge process.

[0052] Furthermore, the specific process of comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charge and discharge parameters is as follows: Determine whether the obtained environmental interference score is within the environmental interference threshold range: If the obtained environmental interference score is within the environmental interference threshold range, it indicates that there is no environmental parameter interference in the charge and discharge process of the target energy storage system, and the charge and discharge parameters are not adjusted at this time; if the obtained environmental interference score is not within the environmental interference threshold range, it indicates that there is environmental parameter interference in the charge and discharge process of the target energy storage system and the charge and discharge parameters are adjusted.

[0053] Among them, the environmental interference threshold range represents the range corresponding to the historical maximum environmental interference score and the historical minimum environmental interference score in the preset database.

[0054] Further, the specific steps for adjusting the charge and discharge parameters include: A1. When the obtained environmental interference score is not within the environmental interference threshold range, determine whether the obtained environmental interference score is less than the historical minimum environmental interference score. If so, increase the charge and discharge parameters and continue to monitor the charge and discharge process according to the increased charge and discharge parameters until the newly obtained environmental interference score is within the environmental interference threshold range; otherwise, execute A2. The charge and discharge parameters include the charging rate and the depth of discharge; A2. Decrease the charge and discharge parameters and restart the charge and discharge process until the newly obtained environmental interference score is within the environmental interference threshold range.

[0055] In this embodiment, assume that the optimal charging rate of a lithium-ion battery is 1 (h / C, that is, the rated capacity of the battery is fully charged within 1 hour). When the environmental interference score exceeds the threshold range and is less than the historical minimum environmental interference score, the charging rate can be increased to 1.2 (h / C) to accelerate the charging rate. When the environmental interference score exceeds the threshold range and is greater than the historical maximum environmental interference score, the charging rate can be decreased to 0.8 (h / C) to reduce the damage to the battery.

[0056] Assume that the recommended depth of discharge of a lithium-ion battery is 80% (that is, only 80% of the battery capacity is used).

[0057] When the environmental interference score exceeds the threshold range and is less than the historical minimum environmental interference score, the depth of discharge can be increased to 85% to provide more energy. When the environmental interference score exceeds the threshold range and is greater than the historical maximum environmental interference score, the depth of discharge can be decreased to 75% to protect the battery from damage.

[0058] This example dynamically adjusts the charging rate and the depth of discharge according to the real-time change of the environmental interference score, enabling the target energy storage system to more flexibly adapt to different environmental conditions, reducing the thermal stress and mechanical stress of the battery, thus ensuring the safe operation of the energy storage system and achieving the improvement of the accuracy and reliability of the adjustment of the charge and discharge parameters.

[0059] Further, the specific process of evaluating the dynamic response performance of the target energy storage system according to the adjusted charge and discharge parameters to obtain the dynamic response evaluation value is as follows: Obtain the discharge duration and discharge efficiency during the discharge process of the target energy storage system within a preset time period. The discharge duration is the duration of the discharge process of the target energy storage system within the preset time period, and the discharge efficiency is the ratio of the total released electric energy at the end of the preset time period to the initial stored electric energy at the beginning; Obtain the charge duration and charge efficiency during the charging process of the target energy storage system within the preset time period. The charge duration is the duration of the charging process of the target energy storage system within the preset time period, and the charge efficiency is the ratio of the actual stored electric energy at the end of the preset time period to the total initial electric energy at the beginning; Process the discharge efficiency and charge efficiency respectively to obtain the discharge efficiency score and charge efficiency score; Obtain the discharge duration score according to the processing results of the discharge duration, the minimum allowable discharge duration, and the maximum allowable discharge duration; Obtain the charge duration score according to the processing results of the charge duration, the minimum allowable charge duration, and the maximum allowable charge duration; Obtain the discharge response evaluation value and the charge response evaluation value, sum and average them, and then perform an exponential operation to obtain the dynamic response evaluation value. The discharge response evaluation value is the product of the discharge efficiency score and the discharge duration score, and the charge response evaluation value is the product of the charge efficiency score and the charge duration score; The dynamic response performance includes charge and discharge duration, charge efficiency, and discharge efficiency; The charge and discharge duration includes the charge duration and the discharge duration.

[0060] In this embodiment, it is assumed that when the preset time period is 1, the total initial electric energy and the initial stored electric energy at the beginning of the corresponding previous preset time period are not 0. The discharge duration and the charge duration are obtained through the deployed sensors. The actual stored electric energy, the total initial electric energy, the total released electric energy, and the initial stored electric energy are obtained through a battery charge and discharge tester. The minimum (maximum) allowable discharge duration is represented by the result of summing and averaging the minimum (maximum) values of the historical discharge durations of lithium-ion batteries in the preset database within the historical time period. The minimum (maximum) allowable charge duration is represented by the result of summing and averaging the minimum (maximum) values of the historical charge durations of lithium-ion batteries in the preset database within the historical time period. By separately considering the charge response evaluation value and the discharge response evaluation value for the dynamic response performance of lithium-ion batteries during the charge and discharge process, the accuracy and reliability of the dynamic response performance evaluation are improved, and thus a more accurate dynamic response evaluation value is obtained.

[0061] It should be added that the specific limiting expression of the dynamic response evaluation value is:

[0062] ;

[0063] ;

[0064] ;

[0065] ;

[0066] ;

[0067] ;

[0068] ;

[0069] ;

[0070] ;

[0071] where t is the number of the preset time period, , T is the total number of the preset time periods, and e is the natural constant, represents the dynamic response evaluation value during the charge-discharge process of the target energy storage system within the preset time period, represents the discharge response evaluation value during the discharge process of the target energy storage system in the t-th preset time period, represents the charge response evaluation value during the charge process of the target energy storage system in the t-th preset time period, represents the discharge efficiency fraction during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge efficiency during the discharge process of the target energy storage system in the t-th preset time period, represents the total amount of released electric energy during the discharge process of the target energy storage system in the t-th preset time period, represents the initial stored electric energy during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge duration fraction during the discharge process of the target energy storage system in the t-th preset time period, represents the discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the minimum allowable discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the maximum allowable discharge duration during the discharge process of the target energy storage system in the t-th preset time period, represents the charge efficiency fraction during the charge process of the target energy storage system in the t-th preset time period, represents the charge efficiency during the charge process of the target energy storage system in the t-th preset time period, represents the actual stored electric energy during the charge process of the target energy storage system in the t-th preset time period, represents the total initial electric energy during the charge process of the target energy storage system in the t-th preset time period, represents the charging duration fraction during the charging process of the target energy storage system within the t-th preset time period, represents the charging duration during the charging process of the target energy storage system within the t-th preset time period, represents the minimum allowable charging duration during the charging process of the target energy storage system within the t-th preset time period, represents the maximum allowable charging duration during the charging process of the target energy storage system within the t-th preset time period, represents the environmental interference fraction during the charge-discharge process of the battery of the target energy storage system within the preset time period, represents the environmental interference threshold range.

[0072] In this embodiment, as Figure 3 shown, it is a two-dimensional coordinate graph of the discharge response evaluation value provided by the embodiment of the present application (at this time, the charge response evaluation value is a fixed value of 0.5). It can be seen from Figure 3 that the dynamic response evaluation value (the larger the better) increases as the discharge response evaluation value increases. As Figure 4 shown, it is a two-dimensional coordinate graph of the charge response evaluation value provided by the embodiment of the present application (at this time, the discharge response evaluation value is a fixed value of 0.3). It can be seen from Figure 4 that the dynamic response evaluation value increases as the charge response evaluation value increases. Among them, the charge response evaluation value also indirectly affects the value of the discharge response evaluation value.

[0073] Suppose in a specific energy storage system, the value ranges of the charge response evaluation value and the discharge response evaluation value are between 0 and 1 (0 and 1 can be taken). In the initial state, its charge response evaluation value is 0.6 (the maximum value is 1), and the discharge response evaluation value is 0.7 (the maximum value is 1). At this time, if the charge response evaluation value is increased to 0.8, then the discharge response evaluation value may also increase accordingly, such as increasing to 0.75. The reason for this increase is that the optimization of the charging process enables the battery to be fully charged faster, thereby reducing the stress inside the battery. Through the above analysis, the indirect influence of the charge response evaluation value on the discharge response evaluation value can be seen. This analysis helps to more comprehensively understand the dynamic response performance of the energy storage system during the charge-discharge process, can effectively improve the accuracy of the correlation analysis of the dynamic response performance of the energy storage system, and thus realizes the improvement of the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charge-discharge process, effectively solving the problem of low accuracy of the correlation analysis of the dynamic response performance of the energy storage system in the prior art during the charge-discharge process.

[0074] Further, the specific process of determining whether there is room for optimizing the charge-discharge mode based on the obtained dynamic response evaluation value and the dynamic response threshold range is as follows: Determine whether the obtained dynamic response evaluation value is within the dynamic response threshold range. If the obtained dynamic response evaluation value is within the dynamic response threshold range, it indicates that the charge-discharge mode of the target energy storage system has reached the optimal level within the preset time period. If the obtained dynamic response evaluation value is not within the dynamic response threshold range, it indicates that there is room for optimizing the charge-discharge mode of the target energy storage system within the preset time period, and the charge-discharge mode is optimized. The charge-discharge mode includes a charging mode and a discharging mode.

[0075] Among them, the dynamic response threshold range represents the range corresponding to the maximum and minimum values of the historical dynamic response evaluation values of the target energy storage system in the historical time period in the preset database.

[0076] In this embodiment, assuming that the current charge-discharge mode of the target energy storage system within the preset time period is a single charging strategy (constant voltage charging or constant current charging) and a discharging strategy (continuous discharging or pulse charging), the specific steps for optimizing the charge-discharge mode are as follows: Adjust the charging strategy in the charging mode of the target energy storage system to an interactive charging strategy. The charging strategy includes constant voltage charging and constant current charging, and the interactive charging strategy is a combination of constant voltage charging and constant current charging (that is, the target energy storage system simultaneously adopts constant voltage charging and constant current charging during the charging process); Adjust the discharging strategy in the discharging mode of the target energy storage system to an interactive discharging strategy. The discharging strategy includes continuous discharging and pulse discharging, and the interactive discharging strategy is a combination of continuous discharging and pulse discharging (that is, the target energy storage system simultaneously adopts continuous discharging and pulse discharging during the discharging process).

[0077] Specifically, the interactive charging strategy can prevent the battery from being in an overvoltage state or an overcurrent state, which helps to reduce the risk of battery aging and damage; the interactive discharging strategy can prevent the battery from being in an overload state, thereby more effectively utilizing the electric energy in the energy storage system and improving the energy utilization efficiency. Through the optimization of the charge-discharge mode in this example, a more accurate evaluation of the dynamic response performance of the energy storage system is achieved.

[0078] Further, the specific steps for obtaining the potential energy change are as follows: L1, obtain the voltage data and current data of the target energy storage system during the charge and discharge processes, and perform a product operation on the voltage data and current data to obtain the instantaneous power data; L2, determine whether the instantaneous power data is negative. If so, it indicates that the target energy storage system is performing power output (i.e., the discharge process) during the corresponding preset time period, and integrate the corresponding instantaneous power data based on the preset time period to obtain the discharge potential energy change. Otherwise, execute L3; L3, determine whether the instantaneous power data is positive. If so, it indicates that the target energy storage system is performing power input (i.e., the charge process) during the corresponding preset time period, and integrate the corresponding instantaneous power data based on the preset time period to obtain the charge potential energy change. Otherwise, it indicates that the target energy storage system has not been charged or discharged during the corresponding preset time period, and record the corresponding instantaneous power data as 0.

[0079] Among them, the potential energy change includes the charge potential energy change and the discharge potential energy change. The charge potential energy change is the increase in potential energy of the target energy storage system during the charge process, and the discharge potential energy change is the decrease in potential energy of the target energy storage system during the discharge process.

[0080] It should be understood that the reason why the instantaneous power data is negative is that the voltage data is negative (i.e., the actual voltage direction during this preset time period is opposite to the power input voltage direction of the target energy storage system), and the reason why the instantaneous power data is positive is that the voltage data is positive (i.e., the actual voltage direction during this preset time period is the same as the power input voltage direction of the target energy storage system).

[0081] Compared with the prior art, in this example, by judging the positive and negative values of the instantaneous power data, the charge and discharge states of the energy storage system can be accurately judged. Secondly, by considering the positive and negative values of the instantaneous power data, the potential energy change of the energy storage system during the charge and discharge processes can be directly obtained, realizing the improvement of the accuracy and reliability of obtaining the potential energy change.

[0082] Further, the correlation index is obtained through the following method: when the obtained dynamic response evaluation value is within the dynamic response threshold range, the voltage volatility and current volatility during the charging and discharging process of the target energy storage system within a preset time period are obtained. The voltage volatility is the ratio of the difference between the maximum voltage and the minimum voltage to the rated voltage, and the current volatility is the ratio of the difference between the maximum current and the minimum current to the rated current. The obtained charging potential change amount fraction and discharging potential change amount fraction are added to obtain the potential change amount fraction. The charging potential change amount fraction represents the ratio of the difference in the charging potential change amount to the maximum allowable change amount of the charging potential. The difference in the charging potential change amount is the difference between the maximum value of the charging potential change amount and the charging potential change amount, and the maximum allowable change amount of the charging potential is the difference between the maximum value of the charging potential change amount and the minimum value of the charging potential change amount. The discharging potential change amount fraction represents the ratio of the difference in the discharging potential change amount to the maximum allowable change amount of the discharging potential. The difference in the discharging potential change amount is the difference between the maximum value of the absolute value of the discharging potential change amount and the absolute value of the discharging potential change amount, and the maximum allowable change amount of the discharging potential is the difference between the maximum value of the absolute value of the discharging potential change amount and the minimum value of the absolute value of the discharging potential change amount. The summation average result of the voltage volatility and the current volatility is multiplied by the potential change amount fraction and processed to obtain the correlation index.

[0083] In this embodiment, the maximum voltage and the minimum voltage are respectively represented by the results of summing and averaging the historical maximum voltage and the historical minimum voltage during the charging and discharging process of the target energy storage system in the historical time period in the preset database. The rated voltage (set by the manufacturer corresponding to the target energy storage system) represents the maximum voltage that the target energy storage system can withstand during normal charging and discharging. The maximum current and the minimum current are respectively represented by the results of summing and averaging the historical maximum current and the historical minimum current during the charging and discharging process of the target energy storage system in the historical time period in the preset database. The rated current (set by the manufacturer corresponding to the target energy storage system) represents the maximum current that the target energy storage system can withstand during normal charging and discharging.

[0084] Specifically, the specific limit expression of the correlation index is:

[0085] ;

[0086] ;

[0087] ;

[0088] ;

[0089] ;

[0090] In the formula, t is the number of the preset time period, , where T is the total number of preset time periods and e is the natural constant, represents the correlation index during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the voltage volatility during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the maximum voltage during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the minimum voltage during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the rated voltage, represents the current volatility during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the maximum current during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the minimum current during the charge and discharge process of the target energy storage system in the t-th preset time period, represents the rated current, represents the fraction of the change in charging potential energy during the charging process of the target energy storage system in the t-th preset time period, represents the maximum value of the change in charging potential energy during the charging process of the target energy storage system in the t-th preset time period, represents the change in charging potential energy during the discharging process of the target energy storage system in the t-th preset time period, represents the minimum value of the change in charging potential energy during the charging process of the target energy storage system in the t-th preset time period, represents the fraction of the change in discharging potential energy during the discharging process of the target energy storage system in the t-th preset time period, represents the maximum value of the absolute value of the change in discharging potential energy during the discharging process of the target energy storage system in the t-th preset time period, represents the absolute value of the change in discharging potential energy during the discharging process of the target energy storage system in the t-th preset time period, represents the minimum value of the absolute value of the change in discharging potential energy during the discharging process of the target energy storage system in the t-th preset time period, represents the dynamic response evaluation value during the charge and discharge process of the target energy storage system in the preset time period, represents the dynamic response threshold range.

[0091] Specifically, the change statistical table of the correlation index is shown in Table 1:

[0092] Table 1 Change Statistical Table of Correlation Index

[0093]

[0094] It should be understood that, as can be seen from the table, when the voltage volatility is 0.13, the current volatility is 0.09, the charging potential energy change fraction is 0.09, and the discharging potential energy change fraction is 0.16, the value of the correlation index is the largest (1.175), that is, the correlation index (the larger the better) decreases as the voltage volatility, current volatility, charging potential energy change fraction, and discharging potential energy change fraction increase; it should be noted that the voltage volatility, current volatility, charging potential energy change fraction, and discharging potential energy change fraction increase or decrease simultaneously.

[0095] For example, when the charge-discharge efficiency of the target energy storage system increases within a preset time period, the corresponding voltage volatility and current volatility increase, indicating that the amount of electrical energy change during the charge-discharge process of the target energy storage system within the preset time period increases. At this time, the corresponding charging potential energy change amount and discharging potential energy change amount also increase accordingly (that is, both the charging potential energy change fraction and the discharging potential energy change fraction increase). Through the above analysis, it is helpful to more accurately analyze the dynamic response performance of the energy storage system during the charge-discharge process within the preset time period, thereby improving the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charge-discharge process and effectively solving the problem of low accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charge-discharge process in the prior art.

[0096] Furthermore, the specific process for determining whether to perform the initial charge-discharge power adjustment based on the correlation index is as follows: Determine whether the obtained correlation index is within the correlation threshold range. If so, do not perform the initial charge-discharge power adjustment; otherwise, perform the initial charge-discharge power adjustment. The specific steps for the initial charge-discharge power adjustment are as follows: Determine whether the obtained correlation index is less than the historical minimum correlation index. If so, increase the initial charge-discharge power until the obtained correlation index is within the correlation threshold range (at this time, stop increasing the initial charge-discharge power); otherwise, decrease the initial charge-discharge power until the obtained correlation index is within the correlation threshold range (at this time, stop decreasing the initial charge-discharge power).

[0097] Among them, the correlation threshold range represents the range corresponding to the historical maximum correlation index and the historical minimum correlation index in the preset database; the initial charge-discharge power includes the initial charging power and the initial discharging power.

[0098] Specifically, the independent variables of the historical correlation index of the target energy storage system in the historical time period in the preset database are input into the calculation formula of the correlation index to obtain the historical correlation index, and the historical maximum correlation index and the historical minimum correlation index are statistically obtained. Existing machine learning algorithms can directly analyze the dynamic response performance of energy storage charging and discharging. On this basis, in this example, by dynamically adjusting the initial charging and discharging power, it is possible to ensure that the correlation index of the energy storage system always remains within the correlation threshold range, thereby optimizing the dynamic response performance of the energy storage system. This helps to improve the stability and reliability of the energy storage system and can also avoid energy waste caused by discharging or charging, providing a reliable maintenance strategy for the operation of the power grid.

[0099] In summary, in the embodiment of the present application, the environmental interference score is obtained based on the change of the environmental parameters during the charging and discharging process of the target energy storage system and compared with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters. Then, the dynamic response performance is evaluated to obtain the dynamic response evaluation value. Finally, the correlation analysis of the charging and discharging mode of the target energy storage system is performed based on the obtained potential energy change amount to obtain the correlation index, thereby realizing the more accurate acquisition of the correlation index, and further realizing the improvement of the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process, effectively solving the problem of low accuracy of the correlation analysis of the dynamic response performance of the energy storage system in the prior art during the charging and discharging process.

[0100] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0101] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in one or more of the blocks and / or processes. Figure 1 one or more processes and / or blocks Figure 1 specified in one or more of the blocks and / or processes.

[0103] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the function specified in one or more of the blocks and / or processes. Figure 1 one or more processes and / or blocks Figure 1 specified in one or more of the blocks and / or processes.

[0104] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to cover the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0105] It is obvious that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for correlative analysis of the dynamic response performance of energy storage charge and discharge, characterized in that, It includes the following steps: Step 1: Obtain the environmental parameters of the target energy storage system within a preset charge-discharge region, and obtain an environmental interference score according to the changes in the environmental parameters during the charge-discharge process of the target energy storage system. The environmental interference score is used to evaluate the degree of influence of environmental factors on the charge-discharge performance of the target energy storage system; Step 2: Compare the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charge-discharge parameters, and evaluate the dynamic response performance of the target energy storage system according to the adjusted charge-discharge parameters to obtain a dynamic response evaluation value. The dynamic response evaluation value is used to reflect the dynamic response performance level of the target energy storage system after the charge-discharge parameters are adjusted; Step 3: Judge whether there is room for optimizing the charge-discharge mode according to the obtained dynamic response evaluation value and the dynamic response threshold range, and simultaneously monitor the potential energy change of the target energy storage system during the adjustment of the charge-discharge parameters in real time to obtain the potential energy change amount. The potential energy change amount is used to reflect the energy change of the target energy storage system during the charge-discharge process; Step 4: Conduct a correlation analysis on the charge-discharge mode of the target energy storage system according to the potential energy change amount to obtain a correlation index, and simultaneously judge whether to execute the initial charge-discharge power adjustment based on the correlation index. The correlation index is used to evaluate the degree of correlation between the charge-discharge potential energy and the dynamic response performance of the target energy storage system; The specific process of evaluating the dynamic response performance of the target energy storage system according to the adjusted charge-discharge parameters to obtain a dynamic response evaluation value is as follows: Obtain the discharge duration and discharge efficiency during the discharge process of the target energy storage system within a preset time period. The discharge duration is the duration of the discharge process of the target energy storage system within the preset time period, and the discharge efficiency is the ratio of the total released electric energy at the end of the preset time period to the initial stored electric energy at the beginning of the target energy storage system; Obtain the charge duration and charge efficiency during the charging process of the target energy storage system within a preset time period. The charge duration is the duration of the charging process of the target energy storage system within the preset time period, and the charge efficiency is the ratio of the actual stored electric energy at the end of the preset time period to the total initial electric energy at the beginning of the target energy storage system; Process the discharge efficiency and the charge efficiency respectively to obtain a discharge efficiency score and a charge efficiency score; Obtain a discharge duration score according to the processing results of the discharge duration, the minimum allowable discharge duration, and the maximum allowable discharge duration; Obtain a charge duration score according to the processing results of the charge duration, the minimum allowable charge duration, and the maximum allowable charge duration; Obtain a discharge response evaluation value and a charge response evaluation value, perform summation and averaging, and then perform an exponential operation to obtain a dynamic response evaluation value. The discharge response evaluation value is the product of the discharge efficiency score and the discharge duration score, and the charge response evaluation value is the product of the charge efficiency score and the charge duration score; The dynamic response performance includes charge-discharge duration, charge efficiency, and discharge efficiency; The charge-discharge duration includes the charge duration and the discharge duration.

2. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The environmental interference score is obtained by the following method: Monitor the changes in the environmental parameters of the battery in the target energy storage system within a preset time period to obtain the environmental parameter changes. The environmental parameters include temperature, air pressure, and humidity. The environmental parameter changes include temperature change, air pressure change, and humidity change. The temperature change is the starting temperature difference of the battery during charge and discharge within the preset time period. The air pressure change is the starting air pressure difference of the battery during charge and discharge within the preset time period. The humidity change is the starting humidity difference of the battery during charge and discharge within the preset time period; Obtain the air pressure interference coefficient and the humidity interference coefficient and perform a summation and averaging operation. At the same time, combine the processing result of the obtained temperature interference coefficient to obtain the environmental interference score. The temperature interference coefficient represents the ratio of the multiplication result of the temperature change weight factor and the temperature change to the reference temperature change. The air pressure interference coefficient represents the ratio of the multiplication result of the air pressure change weight factor and the air pressure change to the reference air pressure change. The humidity interference coefficient represents the ratio of the multiplication result of the humidity change weight factor and the humidity change to the reference humidity change.

3. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The specific process of comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charge and discharge parameters is as follows: Judge whether the obtained environmental interference score is within the environmental interference threshold range: If the obtained environmental interference score is within the environmental interference threshold range, do not adjust the charge and discharge parameters; If the obtained environmental interference score is not within the environmental interference threshold range, adjust the charge and discharge parameters; The environmental interference threshold range represents the range corresponding to the historical maximum environmental interference score and the historical minimum environmental interference score in the preset database.

4. The method for analyzing the correlation between the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The specific steps of adjusting the charge and discharge parameters include: A1. Judge whether the obtained environmental interference score is less than the historical minimum environmental interference score. If so, increase the charge and discharge parameters and continue to monitor the charge and discharge process according to the increased charge and discharge parameters until the newly obtained environmental interference score is within the environmental interference threshold range. Otherwise, execute A2. The charge and discharge parameters include the charging rate and the discharge depth; A2. Decrease the charge and discharge parameters and restart the charge and discharge process until the newly obtained environmental interference score is within the environmental interference threshold range.

5. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, characterized in that, The specific limiting expression of the dynamic response evaluation value is: G1 t = M t * N t ; G2 t = G t * H t ; where \(t\) is the number of the preset time period, \(t = 1, 2, \cdots, T\), \(T\) is the total number of the preset time periods, \(e\) is the natural constant, \(GU\) represents the dynamic response evaluation value of the target energy storage system during the charge and discharge process in the preset time period, \(G1\) t represents the discharge response evaluation value of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(G2\) t represents the charge response evaluation value of the target energy storage system during the charge process in the \(t\)-th preset time period, \(M\) t represents the discharge efficiency fraction of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(F1\) t represents the discharge efficiency of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(U2\) t represents the total amount of released electric energy of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(U1\) t represents the initial stored electric energy of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(N\) t represents the discharge duration fraction of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(F2\) t represents the discharge duration of the target energy storage system during the discharge process in the \(t\)-th preset time period, represents the minimum allowable discharge duration of the target energy storage system during the discharge process in the \(t\)-th preset time period, represents the maximum allowable discharge duration of the target energy storage system during the discharge process in the \(t\)-th preset time period, \(G\) t represents the charge efficiency fraction of the target energy storage system during the charge process in the \(t\)-th preset time period, \(C1\) t represents the charge efficiency of the target energy storage system during the charge process in the \(t\)-th preset time period, \(K2\) t represents the actual stored electric energy of the target energy storage system during the charge process in the \(t\)-th preset time period, \(K1\) t represents the total initial electric energy of the target energy storage system during the charge process in the \(t\)-th preset time period, \(H\) t represents the charge duration fraction of the target energy storage system during the charge process in the \(t\)-th preset time period, \(C2\) t represents the charge duration of the target energy storage system during the charge process in the \(t\)-th preset time period, represents the minimum allowable charge duration of the target energy storage system during the charge process in the \(t\)-th preset time period, represents the maximum allowable charge duration of the target energy storage system during the charge process in the \(t\)-th preset time period, \(GAN\) represents the environmental interference fraction of the battery of the target energy storage system during the charge and discharge process in the preset time period, \(\Delta GAN\) represents the environmental interference threshold range.

6. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, characterized in that, The specific process of judging whether there is an optimization space for the charge and discharge mode according to the obtained dynamic response evaluation value and the dynamic response threshold range is as follows: Judge whether the obtained dynamic response evaluation value is within the dynamic response threshold range: If the obtained dynamic response evaluation value is within the dynamic response threshold range, it indicates that the charge and discharge mode of the target energy storage system has reached the optimal within the preset time period; If the obtained dynamic response evaluation value is not within the dynamic response threshold range, it indicates that there is an optimization space for the charge and discharge mode of the target energy storage system within the preset time period and optimize the charge and discharge mode; The charge and discharge mode includes the charging mode and the discharging mode.

7. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The specific steps for obtaining the potential energy change are: L1. Obtain the voltage data and current data of the target energy storage system during the charging and discharging processes, and perform a multiplication operation on the voltage data and the current data to obtain the instantaneous power data; L2. Determine whether the instantaneous power data is negative. If so, integrate the corresponding instantaneous power data based on a preset time period to obtain the change amount of discharge potential energy. Otherwise, execute L3; L3. Determine whether the instantaneous power data is positive. If so, integrate the corresponding instantaneous power data based on a preset time period to obtain the change amount of charging potential energy. Otherwise, record the corresponding instantaneous power data as 0; The change amount of potential energy includes the change amount of charging potential energy and the change amount of discharge potential energy; The change amount of charging potential energy is the increase in potential energy of the target energy storage system during the charging process; The change amount of discharge potential energy is the decrease in potential energy of the target energy storage system during the discharging process.

8. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The correlation index is obtained through the following method: Obtain the voltage volatility and current volatility of the target energy storage system during the charging and discharging processes within a preset time period. The voltage volatility is the ratio of the difference between the maximum voltage and the minimum voltage to the rated voltage, and the current volatility is the ratio of the difference between the maximum current and the minimum current to the rated current; Perform an addition operation on the obtained change amount fraction of charging potential energy and the change amount fraction of discharge potential energy to obtain the change amount fraction of potential energy. The change amount fraction of charging potential energy represents the ratio of the difference in the change amount of charging potential energy to the maximum allowable change amount of charging potential energy. The difference in the change amount of charging potential energy is the difference between the maximum value of the change amount of charging potential energy and the change amount of charging potential energy. The maximum allowable change amount of charging potential energy is the difference between the maximum value of the change amount of charging potential energy and the minimum value of the change amount of charging potential energy. The change amount fraction of discharge potential energy represents the ratio of the difference in the change amount of discharge potential energy to the maximum allowable change amount of discharge potential energy. The difference in the change amount of discharge potential energy is the difference between the maximum value of the absolute value of the change amount of discharge potential energy and the absolute value of the change amount of discharge potential energy. The maximum allowable change amount of discharge potential energy is the difference between the maximum value of the absolute value of the change amount of discharge potential energy and the minimum value of the absolute value of the change amount of discharge potential energy; Perform a multiplication operation on the sum average result of the voltage volatility and the current volatility and the change amount fraction of potential energy and perform processing to obtain the correlation index.

9. The method for analyzing the correlation of the dynamic response performance of energy storage charging and discharging according to claim 1, wherein The specific process of determining whether to perform the initial charging and discharging power adjustment based on the correlation index is as follows: Determine whether the obtained correlation index is within the correlation threshold range. If so, do not perform the initial charging and discharging power adjustment. Otherwise, perform the initial charging and discharging power adjustment; The specific steps of the initial charging and discharging power adjustment are as follows: Determine whether the obtained correlation index is less than the historical minimum correlation index. If so, increase the initial charging and discharging power. Otherwise, decrease the initial charging and discharging power; The correlation threshold range represents the range corresponding to the historical maximum correlation index and the historical minimum correlation index in the preset database; The initial charging and discharging power includes the initial charging power and the initial discharging power.

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