Energy storage charging and discharging dynamic response performance correlation analysis method

Abstract

The invention discloses an energy storage charging and discharging dynamic response performance correlation analysis method, and relates to the technical field of energy storage control. The energy storage charging and discharging dynamic response performance correlation analysis method comprises the following steps: acquiring an environment interference score; obtaining a dynamic response evaluation value; potential energy variation is obtained; and obtaining a relevance index. According to the method, the environment interference score is obtained according to the change condition of the environment parameters in the charging and discharging process of the target energy storage system and is compared with the environment interference threshold range to judge whether the charging and discharging parameters are adjusted or not, and then the dynamic response performance is evaluated to obtain the dynamic response evaluation value; and finally, according to the obtained potential energy variation, carrying out correlation analysis on the charging and discharging mode of the target energy storage system to obtain a correlation index, thereby achieving the effect of improving the correlation analysis accuracy of the dynamic response performance of the energy storage system in the charging and discharging process. The problem that in the prior art, the dynamic response performance correlation analysis accuracy of an energy storage system in the charging and discharging process is not high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage control, and in particular to a method for analyzing the dynamic response performance of energy storage charging and discharging. Background Art

[0002] With the rapid development of energy technology and the large-scale application of renewable energy, energy storage systems play an increasingly important role in modern energy systems. In the actual application of energy storage systems, their dynamic response performance of charging and discharging is affected by many factors, including the physical properties of the energy storage medium, the control strategy of the battery management system, the ambient temperature, and the grid load. These factors interact with each other and jointly determine the charging and discharging behavior of the energy storage system. However, traditional energy storage charging and discharging dynamic response performance analysis methods 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 correlation analysis method for the dynamic response performance of energy storage charging and discharging to better guide the design and optimization of energy storage systems.

[0003] The existing technology obtains the charging and discharging data and external environment data of the energy storage system during the charging and discharging process and constructs a dynamic response model. According to the constructed dynamic response model, the change pattern of the parameters of the energy storage system during the charging and discharging process is visualized. At the same time, the dynamic response performance of the dynamic response model is correlated with the energy storage system, thereby improving the efficiency of the dynamic response performance analysis of the energy storage system.

[0004] For example, the invention patent with announcement number: CN116846042B announces a hybrid energy storage battery charging and discharging automatic adjustment method and system, including: a data acquisition module acquires light intensity in real time, as well as the internal resistance, battery capacity, maximum amplification current and voltage of three battery modules, namely, lithium battery, lead-acid battery and solar cell; uses an improved bee algorithm to process the data collected in real time by the data acquisition module to generate a charging and discharging plan; and adjusts the charging voltage and current and the discharging voltage and current of the lithium battery and lead-acid battery, as well as the charging voltage and current of the solar cell according to the charging and discharging plan generated by the improved bee algorithm.

[0005] For example, a patent application with publication number: CN118630877A discloses a supercapacitor charging and discharging safety protection method and device, including: receiving the real-time charging and discharging tasks of the target capacitor, performing task requirement analysis, and generating an initial charging and discharging strategy; performing charging and discharging task simulation under a standard environment to obtain a capacitor state change sequence for the entire charging and discharging process; based on the real-time working environment of the target capacitor, performing environmental indicator prediction to obtain an environmental indicator change sequence; performing synchronous interference analysis based on the capacitor state change sequence and the environmental indicator change sequence to obtain environmental interference potential energy; based on the environmental interference potential energy, performing fitting optimization of the initial charging and discharging strategy to obtain the optimal charging and discharging strategy; and combining the real-time charging and discharging state data and the real-time environmental state data to dynamically adjust the charging and discharging of the target capacitor.

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

[0007] In the prior art, the construction of dynamic response models often ignores the energy conversion laws of the energy storage system itself, resulting in deviations between the actual charging and discharging process and the expected charging and discharging process. The relationship between the charging and discharging parameters cannot be accurately captured, and there is a problem of low accuracy in the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process. Summary of the invention

[0008] The embodiment of the present application solves the problem of low accuracy of correlation analysis of dynamic response performance of energy storage systems during charging and discharging in the prior art by providing a method for correlation analysis of dynamic response performance of energy storage systems during charging and discharging, thereby improving the accuracy of correlation analysis of dynamic response performance of energy storage systems during charging and discharging.

[0009] The embodiment of the present application provides a method for analyzing the dynamic response performance of energy storage charging and discharging, including the following steps: Step 1, obtaining environmental parameters of a target energy storage system in a preset charging and discharging area, and obtaining an environmental interference score according to changes in the environmental parameters during the charging and discharging process of the target energy storage system, wherein the environmental interference score is used to evaluate the degree of influence of environmental factors on the charging and discharging performance of the target energy storage system; Step 2, 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 a dynamic response evaluation value, wherein the dynamic response evaluation value is used to reflect the influence of environmental factors on the charging and discharging performance of the target energy storage system after the charging and discharging parameters are adjusted. The dynamic response performance level of the target energy storage system is then determined; in step three, based on the acquired dynamic response evaluation value and the dynamic response threshold range, it is determined whether there is room for optimization in the charge and discharge mode, and at the same time, the potential energy change of the target energy storage system during the charge and discharge parameter adjustment process is monitored in real time to obtain the potential energy change amount, which is used to reflect the energy change of the target energy storage system during the charge and discharge process; in step four, a correlation analysis is performed on the charge and discharge mode of the target energy storage system based on the potential energy change amount to obtain a correlation index, and based on the correlation index, it is determined whether to perform the initial charge and discharge power adjustment, and the correlation index is used to evaluate the degree of correlation between the charge and discharge potential energy and the dynamic response performance of the target energy storage system.

[0010] Further, the environmental interference score is obtained by the following method: real-time monitoring of changes in environmental parameters of the battery in the target energy storage system within a preset time period to obtain environmental parameter changes, the environmental parameters include temperature, air pressure and humidity, the environmental parameter changes include temperature changes, air pressure changes and humidity changes, the temperature change is the starting temperature difference of the battery in the preset time period during the charging and discharging process, the air pressure change is the starting air pressure difference of the battery in the preset time period during the charging and discharging process, and the humidity change is the starting humidity difference of the battery in the preset time period during the charging and discharging process; obtaining the air pressure interference coefficient and the humidity interference coefficient and performing summation and average operations, and combining the processing results 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, and 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.

[0011] Further, the specific process of 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 is as follows: obtaining the discharge duration and discharge efficiency of the target energy storage system during the discharge process within the preset time period, wherein 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 of the target energy storage system at the end of the preset time period to the initial stored electric energy at the beginning; obtaining the charging duration and charging efficiency of the target energy storage system during the charging process within the preset time period, wherein the charging duration is the duration of the charging process of the target energy storage system within the preset time period, and the charging efficiency is the ratio of the actual stored electric energy of the target energy storage system at the end of the preset time period to the initial total amount of electric energy at the beginning; processing the discharge efficiency and the charging efficiency respectively to obtain the discharge efficiency score and the charging efficiency score; obtaining 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] A charging time score is obtained according to the processing results of the charging time, the minimum allowed charging time and the maximum allowed charging time; a discharge response evaluation value and a charging response evaluation value are obtained, and the sum and average are performed, and then an exponential operation is performed to obtain a dynamic response evaluation value, wherein the discharge response evaluation value is the product of the discharge efficiency score and the discharge time score, and the charging response evaluation value is the product of the charging efficiency score and the charging time score; the dynamic response performance includes the charging and discharging time, the charging efficiency and the discharging efficiency; and the charging and discharging time includes the charging time and the discharging time.

[0013] Furthermore, the specific limiting 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, , T is the total number of preset time periods, e is a natural constant, It represents the dynamic response evaluation value of the target energy storage system during the charging and discharging process within the preset time period. represents the discharge response evaluation value of the target energy storage system during the discharge process in the tth preset time period, represents the charging response evaluation value of the target energy storage system during the charging process in the tth preset time period, It represents the discharge efficiency score of the target energy storage system during the discharge process in the tth preset time period. It represents the discharge efficiency of the target energy storage system during the discharge process in the tth preset time period, It represents the total amount of electric energy released by the target energy storage system during the discharge process in the tth preset time period. represents the initial stored energy of the target energy storage system during the discharge process in the tth preset time period, It represents the discharge duration fraction of the target energy storage system during the discharge process in the tth preset time period, Indicates the discharge duration of the target energy storage system during the discharge process in the tth preset time period, Indicates the minimum allowable discharge time of the target energy storage system during the discharge process in the tth preset time period, Indicates the maximum allowable discharge duration of the target energy storage system during the discharge process in the tth preset time period, It represents the charging efficiency score of the target energy storage system during the charging process in the tth preset time period. It represents the charging efficiency of the target energy storage system during the charging process in the tth preset time period, It represents the actual stored energy of the target energy storage system during the charging process in the tth preset time period, It represents the total initial electric energy of the target energy storage system during the charging process in the tth preset time period, Indicates the charging duration fraction of the target energy storage system during the charging process in the tth preset time period, Indicates the charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the minimum allowed charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the maximum allowable charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the environmental interference score of the target energy storage system's battery during the charging and discharging process within a preset time period. Indicates the environmental interference threshold range.

[0024] Furthermore, the specific steps for obtaining the potential energy change are as follows: L1, obtaining the voltage data and current data of the target energy storage system during the charging and discharging process, and multiplying the voltage data and the current data to obtain the instantaneous power data; L2, judging whether the instantaneous power data is a negative value, if so, integrating the corresponding instantaneous power data based on a preset time period to obtain the discharge potential energy change, otherwise executing L3; L3, judging whether the instantaneous power data is a positive value, if so, integrating the corresponding instantaneous power data based on a preset time period to obtain the charging potential energy change, otherwise recording the corresponding instantaneous power data as 0; the potential energy change includes the charging potential energy change and the discharging potential energy change; the charging potential energy change is the increase in the potential energy of the target energy storage system during the charging process; the discharging potential energy change is the decrease in the potential energy of the target energy storage system during the discharging process.

[0025] Furthermore, the correlation index is obtained by the following method: obtaining the voltage fluctuation rate and current fluctuation rate of the target energy storage system during the charging and discharging process within a preset time period, wherein the voltage fluctuation rate is the ratio of the difference between the maximum voltage and the minimum voltage to the rated voltage, and the current fluctuation rate is the ratio of the difference between the maximum current and the minimum current to the rated current; adding the obtained charging potential energy change fraction and the discharge potential energy change fraction to obtain the potential energy change fraction, wherein the charging potential energy change fraction represents the ratio of the charging potential energy change difference to the maximum allowable charging potential energy change, and the charging potential energy change difference is the ratio of the maximum charging potential energy change to the charging potential energy change. The difference in potential energy variation, the maximum allowable change in charging potential energy is the difference between the maximum value of the charging potential energy variation and the minimum value of the charging potential energy variation, the discharge potential energy variation score represents the ratio of the discharge potential energy variation difference to the maximum allowable change in discharge potential energy, the discharge potential energy variation difference is the difference between the maximum value of the absolute value of the discharge potential energy variation and the absolute value of the discharge potential energy variation, and the maximum allowable change in discharge potential energy is the difference between the maximum value of the absolute value of the discharge potential energy variation and the minimum value of the absolute value of the discharge potential energy variation; the summed average result of the voltage fluctuation rate and the current fluctuation rate is multiplied by the potential energy variation score and processed to obtain a 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. The environmental interference score is obtained by the change of 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, and then the dynamic response performance is evaluated to obtain the dynamic response evaluation value. Finally, the charging and discharging mode of the target energy storage system is analyzed for correlation according to the obtained potential energy change to obtain the correlation index, thereby achieving more accurate acquisition of the correlation index, and then achieving 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, which effectively solves the problem of low accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process in the prior art.

[0028] 2. By real-time monitoring the changes in the environmental parameters of the batteries in the target energy storage system within a preset time period, the changes in the environmental parameters are obtained, and then the air pressure interference coefficient and the humidity interference coefficient are obtained and averaged. Finally, the environmental interference score is obtained by combining the processing results of the obtained temperature interference coefficient, thereby improving the accuracy of obtaining the environmental interference score, and then realizing a more accurate analysis of the environmental parameters during the charging and discharging process.

[0029] 3. The discharge efficiency score and the charging efficiency score are obtained by processing the discharge efficiency and the charging efficiency respectively. At the same time, the dynamic response evaluation value is obtained according to the obtained discharge time score and the charging time score and combined with the discharge response evaluation value and the charging response evaluation value, thereby improving the accuracy of obtaining the dynamic response evaluation value, and then achieving a more accurate evaluation of the dynamic response performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A flowchart of a method for analyzing the dynamic response performance of energy storage charging and discharging provided in an embodiment of the present application;

[0031] Figure 2 A specific analysis flow chart of the charging and discharging process provided in the embodiment of the present application;

[0032] Figure 3 A two-dimensional coordinate diagram of the discharge response evaluation value provided in the embodiment of the present application;

[0033] Figure 4 A two-dimensional coordinate diagram of the charging response evaluation value provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The embodiment of the present application solves the problem of low accuracy of dynamic response performance correlation analysis of energy storage systems during charging and discharging in the prior art by providing a method for correlation analysis of dynamic response performance of energy storage systems during charging and discharging. The environmental parameters of the target energy storage system in a preset charging and discharging area are obtained, and the environmental interference score is obtained according to the change of the environmental parameters during the charging and discharging process of the target energy storage system. The obtained environmental interference score is then compared with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters. At the same time, the dynamic response performance of the target energy storage system is evaluated according to the adjusted charging and discharging parameters to obtain a dynamic response evaluation value. Then, according to the obtained dynamic response evaluation value and the dynamic response threshold range, it is determined whether there is room for optimization of the charging and discharging mode. At the same time, the potential energy change of the target energy storage system during the charging and discharging parameter adjustment process is monitored in real time to obtain the potential energy change amount. Finally, according to the potential energy change amount, the charging and discharging mode of the target energy storage system is subjected to correlation analysis to obtain a correlation index. At the same time, it is determined whether to perform the initial charging and discharging power adjustment based on the correlation index, thereby improving the accuracy of correlation analysis of dynamic response performance of the energy storage system during charging and discharging.

[0035] The technical solution in the embodiment of the present application is to solve the problem that the accuracy of the dynamic response performance correlation analysis of the above energy storage system during the charging and discharging process is not high. The overall idea is as follows:

[0036] The obtained environmental interference score is compared with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, and then the dynamic response performance is evaluated to obtain the dynamic response evaluation value. Finally, the charging and discharging mode of the target energy storage system is analyzed for correlation according to the obtained potential energy change to obtain the correlation index, thereby achieving 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.

[0037] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0038] like Figure 1As shown, it is a flow chart of a method for correlating and analyzing the dynamic response performance of energy storage charging and discharging provided in an embodiment of the present application, the method comprising the following steps: Step 1, obtaining an environmental interference score: obtaining environmental parameters of a target energy storage system in a preset charging and discharging area, and obtaining an environmental interference score according to changes in the environmental parameters during the charging and discharging process of the target energy storage system, the environmental interference score being used to evaluate the degree of influence of environmental factors on the charging and discharging performance of the target energy storage system; Step 2, obtaining a 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 a dynamic response evaluation value, the dynamic response evaluation value being used to reflect the influence of environmental factors on the charging and discharging performance of the target energy storage system. The dynamic response performance level of the target energy storage system after the charging and discharging parameters are adjusted; Step three, obtain the potential energy change: determine whether there is room for optimization of the charging and discharging mode based on the obtained dynamic response evaluation value and the dynamic response threshold range, and monitor the potential energy change of the target energy storage system during the charging and discharging parameter adjustment process in real time to obtain the potential energy change, which is used to reflect the energy change of the target energy storage system during the charging and discharging process; Step four, obtain the correlation index: perform a correlation analysis on the charging and discharging mode of the target energy storage system based on the potential energy change to obtain the correlation index, and determine whether to perform the initial charging and discharging power adjustment based on the correlation index, which is used to evaluate the degree of correlation between the charging and discharging potential energy and the dynamic response performance of the target energy storage system.

[0039] In this embodiment, the environmental parameters of the target energy storage system in the preset charge and discharge area are obtained, and the process also includes: performing charge and discharge operations on the target energy storage system in the preset charge and discharge area according to external charge and discharge instructions, wherein the external charge and discharge instructions (sent by the external power system dispatching center) are received by the charge and discharge interface in the target energy storage system, and usually include charge and discharge time instructions, charge and discharge rate instructions, and charge and discharge depth instructions; the target energy storage system is usually a lithium-ion battery energy storage system, such as Figure 2 As shown, it is a specific analysis flow chart of the charging and discharging process provided by the embodiment of the present application, which realizes the comprehensive optimization of the charging and discharging performance of the lithium-ion battery energy storage system by real-time monitoring of environmental parameters, adjusting charging and discharging parameters, evaluating dynamic response performance, monitoring potential energy changes, and performing correlation analysis. This optimization method not only takes into account the impact 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 of the energy storage system during the charging and discharging process through real-time monitoring and correlation analysis.

[0040] It should be added that the environmental interference score is obtained by the following method: real-time monitoring of the changes in the environmental parameters of the battery in the target energy storage system within a preset time period to obtain the changes in the environmental parameters, the environmental parameters include temperature, air pressure and humidity, and the changes in the environmental parameters include temperature changes, air pressure changes and humidity changes. The temperature change is the starting temperature difference of the battery in the preset time period during the charging and discharging process (the difference between the end point temperature and the starting point temperature of the preset time period), the air pressure change is the starting air pressure difference of the battery in the preset time period during the charging and discharging process (the difference between the end point air pressure and the starting point air pressure of the preset time period), and the humidity change is the battery in the preset time period. The starting humidity difference corresponding to the preset time period during the charging and discharging process (the difference between the humidity at the end point of the preset time period and the humidity at the starting point); the air pressure interference coefficient and the humidity interference coefficient are obtained and summed and averaged, and the environmental interference score is obtained by combining the processing result of the obtained temperature interference coefficient. 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.

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

[0042] The reference temperature change is represented by the sum and average of the historical temperature changes in the historical time period in the preset database, the reference air pressure change is represented by the sum and average of the historical air pressure changes in the historical time period in the preset database, and the reference humidity change is represented by the sum and average of the historical humidity changes in the historical time period in the preset database.

[0043] It should be understood that before the target energy storage system is charged and discharged, dividing the charging and discharging process into multiple preset time periods of equal length helps to ensure the consistency and comparability of the data, and can more effectively capture the dynamic changes of environmental parameters during the charging and discharging process of the target energy storage system.

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

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

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

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

[0048] ;

[0049] Where t is the number of the preset time period, , T is the total number of preset time periods, e is a natural constant, Indicates the environmental interference score of the target energy storage system's battery during the charging and discharging process within a preset time period. represents the weight factor of temperature change, Indicates the temperature change of the battery of the target energy storage system during the charging and discharging process in the tth preset time period, represents the reference temperature change, represents the weight factor of air pressure change, Indicates the change in gas pressure during the charging and discharging process of the battery of the target energy storage system during the tth preset time period, Indicates the change in reference air pressure, represents the weight factor of humidity change, It represents the humidity change of the battery of the target energy storage system during the charging and discharging process in the tth preset time period. Indicates the reference humidity change.

[0050] It is important to understand that the environmental interference score (the smaller the better) decreases with increasing temperature change, and increases with increasing air pressure change and humidity change. In lithium-ion battery energy storage systems, an increase in temperature change means that the temperature of the lithium-ion battery rises during the charge and discharge process, which speeds up the chemical reaction (i.e., the charge and discharge rate). An increase in air pressure change 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 humidity change 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 also indirectly affects the values ​​of the air pressure change and the humidity change. When the temperature change increases (that is, when the temperature rises), the saturated water vapor content in the air will increase (that is, the humidity change 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, such changes in temperature, air pressure and humidity will jointly affect the charging and discharging performance of the lithium-ion battery. By considering the above-mentioned indirect influence mechanism, it is helpful to have a more comprehensive understanding of the state changes of the lithium-ion battery during the charging and discharging process, thereby achieving an improvement in the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging 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 charging and discharging process in the prior art.

[0052] Furthermore, the specific process of comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters is as follows: judging 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 charging and discharging process of the target energy storage system, and the charging and discharging 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 charging and discharging process of the target energy storage system and the charging and discharging parameters are adjusted.

[0053] The environmental interference threshold range indicates the range corresponding to the historical maximum environmental interference score and the historical minimum environmental interference score in the preset database.

[0054] Furthermore, the specific steps of adjusting the charge and discharge parameters include: A1, when the acquired environmental interference score is not within the environmental interference threshold range, determine whether the acquired 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 re-acquired 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, reduce the charge and discharge parameters and re-perform the charge and discharge process until the re-acquired environmental interference score is within the environmental interference threshold range.

[0055] In this embodiment, assuming that the optimal charging rate of a lithium-ion battery is 1 (h / C, i.e., 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 speed up 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 reduced to 0.8 (h / C) to reduce damage to the battery.

[0056] Assuming the recommended depth of discharge for a lithium-ion battery is 80% (i.e. 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 discharge depth 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 discharge depth can be reduced to 75% to protect the battery from damage.

[0058] This example dynamically adjusts the charging rate and discharge depth according to the real-time changes in the environmental interference score, so that the target energy storage system can adapt to different environmental conditions more flexibly, reduce the thermal and mechanical stress of the battery, thereby ensuring the safe operation of the energy storage system and improving the accuracy and reliability of the charging and discharging parameter adjustment.

[0059] Furthermore, the specific process of 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 is as follows: obtaining the discharge duration and discharge efficiency of the target energy storage system during the discharge process within the 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 of the target energy storage system at the end of the preset time period to the initial stored electric energy at the beginning; obtaining the charging duration and charging efficiency of the target energy storage system during the charging process within the preset time period, the charging duration is the duration of the charging process of the target energy storage system within the preset time period, and the charging efficiency is the ratio of the actual stored electric energy of the target energy storage system at the end of the preset time period to the initial electric energy at the beginning The ratio of the total amount; the discharge efficiency and the charging efficiency are processed separately to obtain the discharge efficiency score and the charging efficiency score; the discharge time score is obtained according to the processing results of the discharge time, the minimum allowable discharge time and the maximum allowable discharge time; the charging time score is obtained according to the processing results of the charging time, the minimum allowable charging time and the maximum allowable charging time; the discharge response evaluation value and the charging response evaluation value are obtained and summed and averaged, and then the exponential operation is performed to obtain the dynamic response evaluation value, the discharge response evaluation value is the product of the discharge efficiency score and the discharge time score, and the charging response evaluation value is the product of the charging efficiency score and the charging time score; the dynamic response performance includes the charging and discharging time, the charging efficiency and the discharge efficiency; the charging and discharging time includes the charging time and the discharging time.

[0060] In this embodiment, it is assumed that when the preset time period is 1, the initial total amount of electric energy and the initial stored electric energy at the beginning of the corresponding previous preset time period are not 0, the discharge time and the charging time are obtained through the deployed sensors, and the actual stored electric energy, the initial total amount of electric energy, the total amount of released electric energy, and the initial stored electric energy are obtained through the battery charge and discharge tester. The minimum (maximum) allowable discharge time is represented by the sum and average of the minimum (maximum) value of the historical discharge time of the lithium-ion battery in the historical time period in the preset database, and the minimum (maximum) allowable charging time is represented by the sum and average of the minimum (maximum) value of the historical charging time of the lithium-ion battery in the historical time period in the preset database. By considering the dynamic response performance of the lithium-ion battery in the charging and discharging process of the charging response evaluation value and the discharging response evaluation value respectively, the accuracy and reliability of the dynamic response performance evaluation are improved, thereby achieving more accurate acquisition of the dynamic response evaluation value.

[0061] It should be added that the specific restriction 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 preset time periods, e is a natural constant, It represents the dynamic response evaluation value of the target energy storage system during the charging and discharging process within the preset time period. represents the discharge response evaluation value of the target energy storage system during the discharge process in the tth preset time period, represents the charging response evaluation value of the target energy storage system during the charging process in the tth preset time period, It represents the discharge efficiency score of the target energy storage system during the discharge process in the tth preset time period. It represents the discharge efficiency of the target energy storage system during the discharge process in the tth preset time period, It represents the total amount of electric energy released by the target energy storage system during the discharge process in the tth preset time period. represents the initial stored energy of the target energy storage system during the discharge process in the tth preset time period, It represents the discharge duration fraction of the target energy storage system during the discharge process in the tth preset time period, Indicates the discharge duration of the target energy storage system during the discharge process in the tth preset time period, Indicates the minimum allowable discharge time of the target energy storage system during the discharge process in the tth preset time period, Indicates the maximum allowable discharge duration of the target energy storage system during the discharge process in the tth preset time period, It represents the charging efficiency score of the target energy storage system during the charging process in the tth preset time period. It represents the charging efficiency of the target energy storage system during the charging process in the tth preset time period, It represents the actual stored energy of the target energy storage system during the charging process in the tth preset time period, It represents the total initial electric energy of the target energy storage system during the charging process in the tth preset time period, Indicates the charging duration fraction of the target energy storage system during the charging process in the tth preset time period, Indicates the charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the minimum allowed charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the maximum allowable charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the environmental interference score of the target energy storage system's battery during the charging and discharging process within a preset time period. Indicates the environmental interference threshold range.

[0072] In this embodiment, if Figure 3 As shown, it is a two-dimensional coordinate diagram of the discharge response evaluation value provided in the embodiment of the present application (the charge response evaluation value is a fixed value of 0.5 at this time), Figure 3 It can be seen that the dynamic response evaluation value (the larger the better) increases with the increase of the discharge response evaluation value, such as Figure 4 As shown, it is a two-dimensional coordinate diagram of the charging response evaluation value provided in the embodiment of the present application (the discharge response evaluation value is a fixed value of 0.3 at this time), which is composed of Figure 4 It can be seen that the dynamic response evaluation value increases with the increase of the charging response evaluation value, wherein the charging response evaluation value also indirectly affects the value of the discharging response evaluation value.

[0073] Assume that in a specific energy storage system, the range of the charging response evaluation value and the discharging response evaluation value is between 0 and 1 (can be 0, 1). In the initial state, the charging response evaluation value is 0.6 (maximum value is 1), and the discharging response evaluation value is 0.7 (maximum value is 1). At this time, if the charging response evaluation value is increased to 0.8, the discharging response evaluation value may also be increased accordingly, for example, 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, we can see the indirect impact of the charging response evaluation value on the discharging response evaluation value. This analysis helps to more comprehensively understand the dynamic response performance of the energy storage system during the charging and discharging process, and can effectively improve the accuracy of the dynamic response performance correlation analysis of the energy storage system, thereby achieving the improvement of the accuracy of the dynamic response performance correlation analysis of the energy storage system during the charging and discharging process, and effectively solving the problem of low accuracy of the dynamic response performance correlation analysis of the energy storage system during the charging and discharging process in the prior art.

[0074] Furthermore, the specific process of judging whether there is room for optimization of the charge and discharge mode according to the obtained dynamic response evaluation value and the dynamic response threshold range is as follows: judging 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 within the preset time period has reached the optimal state; if the obtained dynamic response evaluation value is not within the dynamic response threshold range, it indicates that there is room for optimization of the charge and discharge mode of the target energy storage system within the preset time period and the charge and discharge mode is optimized, and the charge and discharge mode includes a charging mode and a discharging mode.

[0075] 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 charging and discharging 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 of optimizing the charging and discharging mode are: adjusting 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 adopts constant voltage charging and constant current charging at the same time during the charging process); adjusting 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 adopts continuous discharging and pulse discharging at the same time during the discharging process).

[0077] Specifically, the interactive charging strategy can prevent the battery from being in an overvoltage or overcurrent state, helping 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 electrical energy in the energy storage system and improving energy utilization efficiency; this example optimizes the charging and discharging modes to achieve a more accurate evaluation of the dynamic response performance of the energy storage system.

[0078] Furthermore, the specific steps for obtaining the potential energy change are as follows: L1, obtaining the voltage data and current data of the target energy storage system during the charging and discharging process, and multiplying the voltage data and the current data to obtain the instantaneous power data; L2, judging whether the instantaneous power data is a negative value, if so, it indicates that the target energy storage system performs power output (i.e., the discharging process) within the corresponding preset time period, and integrates the corresponding instantaneous power data based on the preset time period to obtain the discharge potential energy change, otherwise execute L3; L3, judging whether the instantaneous power data is a positive value, if so, it indicates that the target energy storage system performs power input (i.e., the charging process) within the corresponding preset time period, and integrates the corresponding instantaneous power data based on the preset time period to obtain the charging potential energy change, otherwise it indicates that the target energy storage system does not perform charging and discharging within the corresponding preset time period and the corresponding instantaneous power data is recorded as 0.

[0079] Among them, the potential energy change includes the charging potential energy change and the discharging potential energy change. The charging potential energy change is the increase in the potential energy of the target energy storage system during the charging process, and the discharging potential energy change is the decrease in the potential energy of the target energy storage system during the discharging 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 within the 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 within the preset time period is the same as the power input voltage direction of the target energy storage system).

[0081] Compared with the prior art, this example can accurately determine the charging and discharging state of the energy storage system by determining the positive and negative values ​​of the instantaneous power data. Secondly, by considering the positive and negative values ​​of the instantaneous power data, the potential energy change of the energy storage system during the charging and discharging process can be directly obtained, thereby improving the accuracy and reliability of obtaining the potential energy change.

[0082] Furthermore, the correlation index is obtained by the following method: when the obtained dynamic response evaluation value is within the dynamic response threshold range, the voltage fluctuation rate and current fluctuation rate of the target energy storage system during the charging and discharging process within the preset time period are obtained, the voltage fluctuation rate is the ratio of the difference between the maximum voltage and the minimum voltage to the rated voltage, and the current fluctuation rate is the ratio of the difference between the maximum current and the minimum current to the rated current; the obtained charging potential energy change score and the discharge potential energy change score are added to obtain the potential energy change score, the charging potential energy change score represents the ratio of the charging potential energy change difference to the maximum allowable charging potential energy change, and the charging potential energy change difference is the charging potential energy change. The maximum allowable change of charging potential energy is the difference between the maximum change of charging potential energy and the minimum change of charging potential energy. The discharge potential energy change score represents the ratio of the discharge potential energy change difference to the maximum allowable change of discharge potential energy. The discharge potential energy change difference is the difference between the maximum absolute value of the discharge potential energy change and the absolute value of the discharge potential energy change. The maximum allowable change of discharge potential energy is the difference between the maximum absolute value of the discharge potential energy change and the minimum absolute value of the discharge potential energy change. The summed average result of the voltage fluctuation rate and the current fluctuation rate is multiplied by the potential energy change score and processed to obtain the correlation index.

[0083] In this embodiment, the maximum voltage value and the minimum voltage value are respectively represented by the sum and average of the historical maximum voltage value and the historical minimum voltage value of the target energy storage system in the charging and discharging process 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 value and the minimum current value are respectively represented by the sum and average of the historical maximum current value and the historical minimum current value of the target energy storage system in the charging and discharging process in the historical time period in the preset database, and 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 restriction expression of the correlation index is:

[0085] ;

[0086] ;

[0087] ;

[0088] ;

[0089] ;

[0090] Where t is the number of the preset time period, , T is the total number of preset time periods, e is a natural constant, It represents the correlation index of the target energy storage system during the charging and discharging process in the tth preset time period. It represents the voltage fluctuation rate of the target energy storage system during the charging and discharging process in the tth preset time period. Indicates the maximum voltage of the target energy storage system during the charging and discharging process in the tth preset time period, It represents the minimum voltage value of the target energy storage system during the charging and discharging process in the tth preset time period. Indicates the rated voltage, It represents the current fluctuation rate of the target energy storage system during the charging and discharging process in the tth preset time period. Indicates the maximum current of the target energy storage system during the charging and discharging process in the tth preset time period, Indicates the minimum current value of the target energy storage system during the charging and discharging process in the tth preset time period, Indicates the rated current, It represents the fraction of the change in charging potential energy of the target energy storage system during the charging process in the tth preset time period, Indicates the maximum value of the change in charging potential energy of the target energy storage system during the charging process in the tth preset time period, It represents the change in charging potential energy of the target energy storage system during the discharge process in the tth preset time period. Indicates the minimum value of the change in charging potential energy of the target energy storage system during the charging process in the tth preset time period, It represents the fraction of the discharge potential energy change of the target energy storage system during the discharge process in the tth preset time period, Indicates the maximum absolute value of the change in discharge potential energy of the target energy storage system during the discharge process in the tth preset time period, It represents the absolute value of the change in discharge potential energy of the target energy storage system during the discharge process in the tth preset time period. Indicates the minimum absolute value of the change in discharge potential energy of the target energy storage system during the discharge process in the tth preset time period, It represents the dynamic response evaluation value of the target energy storage system during the charging and discharging process within the preset time period. Indicates the dynamic response threshold range.

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

[0092] Table 1 Statistics of changes in correlation indicators

[0093]

[0094] It should be understood that, as can be seen from the table, when the voltage fluctuation rate is 0.13, the current fluctuation rate 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 with the increase of the voltage fluctuation rate, the current fluctuation rate, the charging potential energy change fraction and the discharging potential energy change fraction; it should be noted that the voltage fluctuation rate, the current fluctuation rate, the charging potential energy change fraction and the discharging potential energy change fraction increase and decrease at the same time.

[0095] For example, when the charging and discharging efficiency of the target energy storage system increases within a preset time period, the corresponding voltage fluctuation rate and current fluctuation rate increase, indicating that the electric energy change amount of the target energy storage system during the charging and discharging process within the preset time period increases, and the corresponding charging potential energy change amount and discharging potential energy change amount also increase accordingly (that is, the charging potential energy change amount score and the discharging potential energy change amount score both increase). The above analysis helps to more accurately analyze the dynamic response performance of the energy storage system during the charging and discharging process within the preset time period, thereby achieving an improvement in the accuracy of the correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging 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 charging and discharging process in the prior art.

[0096] Further, the specific process of judging whether to perform the initial charge and discharge power adjustment based on the correlation index is: judging whether the obtained correlation index is within the correlation threshold range, if so, not performing the initial charge and discharge power adjustment, otherwise performing the initial charge and discharge power adjustment; the specific steps of the initial charge and discharge power adjustment are: judging whether the obtained correlation index is less than the historical minimum correlation index, if so, increasing the initial charge and discharge power until the obtained correlation index is within the correlation threshold range (at this time, stop increasing the initial charge and discharge power), otherwise, reducing the initial charge and discharge power until the obtained correlation index is within the correlation threshold range (at this time, stop reducing the initial charge and discharge power);

[0097] The correlation threshold range indicates the range corresponding to the historical maximum correlation index and the historical minimum correlation index in the preset database; the initial charge and discharge power includes the initial charge power and the initial discharge power.

[0098] Specifically, the historical correlation index is obtained by inputting the independent variable of the historical correlation index of the target energy storage system in the historical time period in the preset database into the calculation formula of the correlation index, and the historical maximum correlation index and the historical minimum correlation index are statistically obtained; the existing machine learning algorithm can directly analyze the dynamic response performance of energy storage charging and discharging, and on this basis, this example can also ensure that the correlation index of the energy storage system is always maintained within the correlation threshold range by dynamically adjusting the initial charging and discharging power, thereby optimizing the dynamic response performance of the energy storage system, which helps to improve the stability and reliability of the energy storage system, and can also avoid energy waste caused by discharging or charging, and provide a reliable maintenance strategy for the operation of the power grid.

[0099] In summary, the embodiment of the present application obtains the environmental interference score through the change of environmental parameters during the charging and discharging process of the target energy storage system and compares it with the environmental interference threshold range to determine whether to adjust the charging and discharging parameters, and then evaluates the dynamic response performance to obtain a dynamic response evaluation value. Finally, according to the obtained potential energy change, the charging and discharging mode of the target energy storage system is subjected to a correlation analysis to obtain a correlation index, thereby achieving more accurate acquisition of the correlation index, and further achieving improved accuracy of 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 correlation analysis of the dynamic response performance of the energy storage system during the charging and discharging process in the prior art.

[0100] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may 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 flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes 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 a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0104] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0105] Obviously, 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 equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for analyzing the dynamic response performance of energy storage charging and discharging, characterized in that: The following steps are involved: Step 1: Obtain environmental parameters of the target energy storage system in a preset charging and discharging area, and obtain an environmental interference score according to 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 degree of influence 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 charge and discharge parameters, and evaluate the dynamic response performance of the target energy storage system according to the adjusted charge and discharge parameters to obtain a dynamic response evaluation value, which is used to reflect the dynamic response performance level of the target energy storage system after the charge and discharge parameters are adjusted; Step 3: judging whether there is room for optimization of the charge-discharge mode according to the acquired dynamic response evaluation value and the dynamic response threshold range, and monitoring the potential energy change of the target energy storage system during the charge-discharge parameter adjustment process in real time to obtain the potential energy change amount, which is used to reflect the energy change of the target energy storage system during the charge-discharge process; Step 4: Perform a correlation analysis on the charge and discharge mode of the target energy storage system according to the potential energy change to obtain a correlation index, and determine whether to perform initial charge and discharge power adjustment based on the correlation index. The correlation index is used to evaluate the degree of correlation between the charge and discharge potential energy and the dynamic response performance of the target energy storage system.

2. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The environmental interference score is obtained by the following method: Monitor in real time the changes of the environmental parameters of the battery in the target energy storage system within a preset time period to obtain the environmental parameter changes, wherein the environmental parameters include temperature, air pressure and humidity, and the environmental parameter changes include temperature changes, air pressure changes and humidity changes, wherein the temperature changes are the starting temperature differences of the battery in the corresponding preset time period during the charging and discharging process, the air pressure changes are the starting air pressure differences of the battery in the corresponding preset time period during the charging and discharging process, and the humidity changes are the starting humidity differences of the battery in the corresponding preset time period during the charging and discharging process; The air pressure interference coefficient and the humidity interference coefficient are obtained and summed and averaged, and the environmental interference score is obtained by combining the processing result of the obtained temperature interference coefficient. 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. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific process of comparing the obtained environmental interference score with the environmental interference threshold range to determine whether to adjust the charging and discharging 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, the charge and discharge parameters are not adjusted; If the obtained environmental interference score is not within the environmental interference threshold range, the charging and discharging parameters are adjusted; The environmental interference threshold range represents a range corresponding to a historical maximum environmental interference score and a historical minimum environmental interference score in a preset database.

4. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific steps of adjusting the charge and discharge parameters include: A1, determining whether the acquired environmental interference score is less than the historical minimum environmental interference score, if so, increasing the charge and discharge parameters and continuing to monitor the charge and discharge process according to the increased charge and discharge parameters until the re-acquired environmental interference score is within the environmental interference threshold range, otherwise executing A2, the charge and discharge parameters include the charge rate and the discharge depth; A2, reduce the charge and discharge parameters and re-perform the charge and discharge process until the re-acquired environmental interference score is within the environmental interference threshold range.

5. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific process of 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 is as follows: Obtaining the discharge duration and discharge efficiency of the target energy storage system during the discharge process within a preset time period, wherein 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 electric energy released by the target energy storage system at the end of the preset time period to the initial stored electric energy at the beginning; Obtaining the charging duration and charging efficiency of the target energy storage system during the charging process within the preset time period, wherein the charging duration is the duration of the charging process of the target energy storage system within the preset time period, and the charging efficiency is the ratio of the actual stored electric energy of the target energy storage system at the end of the preset time period to the initial total electric energy at the beginning; The discharge efficiency and the charge efficiency are processed separately to obtain the discharge efficiency score and the charge efficiency score; A discharge time score is obtained according to the processing results of the discharge time, the minimum allowable discharge time and the maximum allowable discharge time; A charging time score is obtained according to the processing results of the charging time, the minimum allowed charging time and the maximum allowed charging time; Obtaining a discharge response evaluation value and a charge response evaluation value, summing and averaging them, and then performing an exponential operation to obtain a dynamic response evaluation value, wherein 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 charging and discharging time, charging efficiency and discharging efficiency; The charging and discharging time includes a charging time and a discharging time.

6. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 5, characterized in that: The specific limiting expression of the dynamic response evaluation value is: ； ； ； ； ； ； ； ； ； Where t is the number of the preset time period, , T is the total number of preset time periods, e is a natural constant, It represents the dynamic response evaluation value of the target energy storage system during the charging and discharging process within the preset time period. represents the discharge response evaluation value of the target energy storage system during the discharge process in the tth preset time period, represents the charging response evaluation value of the target energy storage system during the charging process in the tth preset time period, It represents the discharge efficiency score of the target energy storage system during the discharge process in the tth preset time period. It represents the discharge efficiency of the target energy storage system during the discharge process in the tth preset time period, It represents the total amount of electric energy released by the target energy storage system during the discharge process in the tth preset time period. represents the initial stored energy of the target energy storage system during the discharge process in the tth preset time period, It represents the discharge duration fraction of the target energy storage system during the discharge process in the tth preset time period, Indicates the discharge duration of the target energy storage system during the discharge process in the tth preset time period, Indicates the minimum allowable discharge time of the target energy storage system during the discharge process in the tth preset time period, Indicates the maximum allowable discharge duration of the target energy storage system during the discharge process in the tth preset time period, It represents the charging efficiency score of the target energy storage system during the charging process in the tth preset time period. It represents the charging efficiency of the target energy storage system during the charging process in the tth preset time period, It represents the actual stored energy of the target energy storage system during the charging process in the tth preset time period, It represents the total initial electric energy of the target energy storage system during the charging process in the tth preset time period, Indicates the charging duration fraction of the target energy storage system during the charging process in the tth preset time period, Indicates the charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the minimum allowed charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the maximum allowable charging time of the target energy storage system during the charging process in the tth preset time period, Indicates the environmental interference score of the target energy storage system's battery during the charging and discharging process within a preset time period. Indicates the environmental interference threshold range.

7. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific process of judging whether there is room for optimization of the charge and discharge mode according to the acquired 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 charging and discharging mode of the target energy storage system within the preset time period has reached the optimal state; If the obtained dynamic response evaluation value is not within the dynamic response threshold range, it indicates that there is room for optimization of the charging and discharging mode of the target energy storage system within the preset time period, and the charging and discharging mode is optimized; The charge and discharge mode includes a charge mode and a discharge mode.

8. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific steps for obtaining the potential energy variation are: L1, obtain the voltage data and current data of the target energy storage system during the charging and discharging process, and multiply the voltage data and current data to obtain instantaneous power data; L2, determine whether the instantaneous power data is a negative value, if so, integrate the corresponding instantaneous power data based on a preset time period to obtain the discharge potential energy change, otherwise execute L3; L3, determine whether the instantaneous power data is a positive value. If so, integrate the corresponding instantaneous power data based on a preset time period to obtain the change in charging potential energy. Otherwise, record the corresponding instantaneous power data as 0; The potential energy variation includes the charging potential energy variation and the discharging potential energy variation; The charging potential energy change is the increase in potential energy of the target energy storage system during the charging process; The discharge potential energy change is the reduction in potential energy of the target energy storage system during the discharge process.

9. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The correlation index is obtained by the following method: Obtaining a voltage fluctuation rate and a current fluctuation rate of a target energy storage system during a charging and discharging process within a preset time period, wherein the voltage fluctuation rate is a ratio of a difference between a maximum voltage and a minimum voltage to a rated voltage, and the current fluctuation rate is a ratio of a difference between a maximum current and a minimum current to a rated current; The obtained charging potential energy change amount score and the obtained discharge potential energy change amount score are added to obtain the potential energy change amount score, wherein the charging potential energy change amount score represents the ratio of the charging potential energy change amount difference to the maximum allowable charging potential energy change amount, wherein the charging potential energy change amount difference is the difference between the maximum charging potential energy change amount and the charging potential energy change amount, wherein the charging potential energy maximum allowable charging potential energy change amount is the difference between the maximum charging potential energy change amount and the minimum charging potential energy change amount, wherein the discharge potential energy change amount score represents the ratio of the discharge potential energy change amount difference to the maximum allowable discharge potential energy change amount, wherein the discharge potential energy change amount difference is the difference between the maximum absolute value of the discharge potential energy change amount and the absolute value of the discharge potential energy change amount, wherein the discharge potential energy maximum allowable discharge potential energy change amount is the difference between the maximum absolute value of the discharge potential energy change amount and the minimum absolute value of the discharge potential energy change amount; The correlation index is obtained by multiplying the average result of the voltage fluctuation rate and the current fluctuation rate with the potential energy change fraction and processing them.

10. A method for analyzing the dynamic response performance of energy storage charging and discharging as claimed in claim 1, characterized in that: The specific process of judging whether to perform initial charge and 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 and discharge power adjustment, otherwise perform the initial charge and discharge power adjustment; The specific steps of adjusting the initial charge and discharge power are as follows: Determine whether the obtained correlation index is less than the historical minimum correlation index, if so, increase the initial charge and discharge power, otherwise reduce the initial charge and discharge power; The relevance threshold range represents the range corresponding to the historical maximum relevance index and the historical minimum relevance index in the preset database; The initial charge and discharge power includes initial charge power and initial discharge power.

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