Charging and discharging performance detection system for energy storage equipment based on multi-terminal analysis

Abstract

The invention relates to the technical field of power equipment charging and discharging performance detection, in particular to an energy storage equipment charging and discharging performance detection system based on multi-terminal analysis, which comprises a charging and discharging performance detection platform, an energy storage information base, a charging performance division unit, a performance degradation analysis unit, a discharging performance evaluation unit, an attenuation interference analysis unit and a display unit, the charging information of the energy storage equipment is analyzed, so that the charging performance of the energy storage equipment can be evaluated and fed back, the descending level of the charging performance of the energy storage equipment can be known, the discharging risk information of the energy storage equipment is analyzed, the attenuation interference factor of the energy storage equipment is combined for analysis, and the charging performance of the energy storage equipment can be evaluated and fed back. The charge and discharge performance degradation risk of the energy storage equipment can be analyzed easily, charge and discharge performance degradation of the energy storage equipment is analyzed in a progressive mode, the charge and discharge performance degradation condition of the energy storage equipment can be known visually, and the energy storage equipment can be managed reasonably and pertinently.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment charging and discharging performance detection technology, and in particular to an energy storage equipment charging and discharging performance detection system based on multi-terminal analysis. Background Art

[0002] The working principle of the solar photovoltaic power generation system is that when there is sunlight, the solar photovoltaic panels generate electricity for users to use, and the excess electricity is stored in the energy storage device. The energy storage device can discharge to the load that needs electricity after charging, so that the energy storage device can be used repeatedly, and therefore has a wide range of applications;

[0003] However, in the prior art, as the energy storage device is used for a longer period of time, it will age and its performance will decline. The traditional method analyzes from a single angle and cannot accurately analyze the risk of degradation of the continuous stable performance of the energy storage device during charging and discharging. As a result, it is impossible to manage the energy storage device in a reasonable and targeted manner, thereby reducing the continuous stable performance of the energy storage device during charging and discharging.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a charging and discharging performance detection system for energy storage devices based on multi-terminal analysis to solve the above-mentioned technical defects. The present invention helps to evaluate and feedback the charging performance of the energy storage device by performing charging performance degradation risk assessment analysis on the charging information of the energy storage device, so as to reasonably manage it. The charging stability performance degradation matching analysis is performed by information feedback, which helps to understand the charging performance degradation level of the energy storage device. The analysis is performed from the discharge risk information of the energy storage device, and combined with the attenuation interference factor of the energy storage device. On the one hand, it helps to analyze whether the discharge continuous stability performance of the energy storage device is normal, and on the other hand, it helps to intuitively understand the discharge continuous stability performance degradation level of the energy storage device. The degradation of the charging and discharging performance of the energy storage device is analyzed in a progressive manner, so as to intuitively understand the degradation of the charging and discharging performance of the energy storage device, so as to reasonably and targetedly manage the energy storage device to improve the charging and discharging performance of the energy storage device.

[0006] The object of the present invention can be achieved by the following technical solutions: a charging and discharging performance detection system for energy storage equipment based on multi-terminal analysis, comprising a charging and discharging performance detection platform, an energy storage information library, a charging performance classification unit, a performance degradation analysis unit, a discharge performance evaluation unit, an attenuation interference analysis unit and a display unit;

[0007] The charging and discharging performance detection platform is used to retrieve the charging information and discharging risk information of the energy storage device from the energy storage information library, and send the charging information and discharging risk information to the charging performance classification unit and the discharging performance evaluation unit respectively;

[0008] After receiving the charging information, the charging performance classification unit immediately performs a charging performance degradation risk assessment analysis on the charging information, compares and analyzes the actual safety performance coefficient P obtained, and obtains a performance degradation signal;

[0009] The performance degradation analysis unit is used to respond to the performance degradation signal and perform charging stability performance degradation matching analysis on the actual safety performance coefficient P to obtain the charging performance degradation level CX;

[0010] The attenuation interference analysis unit retrieves the state parameter information of the energy storage device in the non-discharged static state from the energy storage information library, and performs discharge interference supervision classification evaluation analysis on the state parameter information to obtain the discharge interference level FG;

[0011] After receiving the discharge risk information, the discharge performance evaluation unit performs a discharge performance combined evaluation analysis on the discharge risk information, performs a discrimination process on the obtained performance degradation index XT, and obtains a discharge degradation signal;

[0012] When the performance degradation signal and the discharge abnormality signal are generated, the charging performance degradation level CX and the performance degradation index XT are deeply analyzed, and the obtained preset charging and discharging degradation level TJ is sent to the display unit.

[0013] Preferably, the charging performance degradation risk assessment and analysis process of the charging performance classification unit is as follows:

[0014] The charging period of the energy storage device is collected, and the charging information of the energy storage device during the charging period is obtained. The charging information includes a tolerance deviation index and an efficiency deviation index. The tolerance deviation index and the efficiency deviation index are labeled NP and XP respectively. The actual safety performance coefficient P is obtained according to the formula. The actual safety performance coefficient P is compared and analyzed with the preset actual safety performance coefficient threshold value entered and stored internally to generate a performance degradation signal.

[0015] Preferably, the tolerance deviation index represents the ratio of the difference between the maximum energy storage value of the current energy storage device and the maximum energy storage value at the initial use time of the energy storage device to the time between the initial use time and the current time; the efficiency deviation index represents the value obtained by subtracting the difference between the input energy of the power grid at the initial use time and the energy actually stored in the energy storage device from the difference between the current input energy of the power grid and the energy actually stored in the energy storage device.

[0016] Preferably, the charging stability performance degradation matching analysis process of the performance degradation analysis unit is as follows:

[0017] The part of the actual safety performance coefficient P that is greater than the preset actual safety performance coefficient threshold is obtained, and it is set as the performance degradation value, and the performance degradation value is compared and analyzed with the preset performance degradation value range recorded and stored internally to obtain the first level degradation, the second level degradation and the third level degradation, and the first level degradation, the second level degradation and the third level degradation are set as the charging performance degradation level CX, CX=1, 2, 3.

[0018] Preferably, the discharge interference supervision division evaluation and analysis process of the attenuation interference analysis unit is as follows:

[0019] The state parameter information of the energy storage device in the non-discharged static state is obtained, and the state parameter information includes the self-discharge deviation amplitude and the capacity decay index. The self-discharge deviation amplitude and the capacity decay index are compared and analyzed with the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold that are internally entered and stored, and the number of self-discharge deviation amplitudes and capacity decay indexes corresponding to the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold that are greater than or equal to the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold is obtained, and it is set as the discharge interference coefficient, and the discharge interference coefficient is discriminated and processed to obtain the first-level interference, the second-level interference and the third-level interference, and the first-level interference, the second-level interference and the third-level interference are set as the discharge interference level FG, FG=1, 2, 3.

[0020] Preferably, the duration between the initial use time of the energy storage device and the current time is obtained, and is set as the investment time. The investment time is compared and analyzed with a preset investment time interval, and a preset self-discharge rate corresponding to the investment time interval belonging to the preset investment time interval is obtained, and the portion of the self-discharge rate of the current energy storage device that exceeds the preset self-discharge rate is set as the self-discharge deviation amplitude; the capacity decay index represents the portion of the difference between the current rated capacity of the energy storage device and the current available capacity that is greater than a preset threshold.

[0021] Preferably, the discharge performance combined evaluation and analysis process of the discharge performance evaluation unit is as follows:

[0022] The discharge period of the energy storage device is obtained, and the discharge risk information of the energy storage device within the discharge period is obtained. The discharge risk information includes a discharge rate fluctuation value and a discharge performance index. The discharge rate fluctuation value and the discharge performance index are labeled as FD and FB respectively. The discharge degradation risk coefficient F is obtained according to the formula. The discharge degradation risk coefficient F is compared and analyzed with the preset discharge degradation risk coefficient range entered and stored internally to obtain the first-level risk, the second-level risk and the third-level risk. The first-level risk, the second-level risk and the third-level risk are set as the performance degradation index XT, XT=1, 2, 3.

[0023] Preferably, the performance degradation index XT of the energy storage device is obtained, and the performance degradation index XT is discriminated: if the performance degradation index XT=1, no signal is generated; if the performance degradation index XT=2 or if the performance degradation index XT=3, a discharge degradation signal is generated;

[0024] The charging performance degradation level CX and performance degradation index XT of the energy storage device are obtained, and the charging and discharging degradation coefficient TH is obtained according to the formula. The charging and discharging degradation coefficient TH is compared and analyzed with the preset charging and discharging degradation coefficient interval stored internally, and the preset charging and discharging degradation level TJ corresponding to the charging and discharging degradation coefficient TH in the preset charging and discharging degradation coefficient interval is obtained.

[0025] The beneficial effects of the present invention are as follows:

[0026] (1) The present invention performs charging performance degradation risk assessment analysis on the charging information of the energy storage device, which helps to evaluate and feedback the charging performance of the energy storage device so as to reasonably manage it. The charging stability performance degradation matching analysis is performed by information feedback, which helps to understand the charging performance degradation level of the energy storage device. The analysis is performed based on the discharge risk information of the energy storage device and combined with the attenuation interference factor of the energy storage device. On the one hand, it helps to analyze whether the discharge continuous stability performance of the energy storage device is normal, and on the other hand, it helps to intuitively understand the discharge continuous stability performance degradation level of the energy storage device.

[0027] (2) The present invention analyzes the degradation of the charging and discharging performance of the energy storage device in a progressive manner, so as to intuitively understand the degradation of the charging and discharging performance of the energy storage device, so as to reasonably and specifically manage the energy storage device to improve the charging and discharging performance of the energy storage device. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be further described below in conjunction with the accompanying drawings;

[0029] Figure 1 It is a flowchart of the system of the present invention;

[0030] Figure 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1:

[0033] See also Figure 1 to Figure 2 As shown, the present invention is a charging and discharging performance detection system for energy storage equipment based on multi-terminal analysis, including a charging and discharging performance detection platform, an energy storage information library, a charging performance division unit, a performance degradation analysis unit, a discharge performance evaluation unit, an attenuation interference analysis unit and a display unit, the energy storage information library is unidirectionally connected to the charging and discharging performance detection platform and the attenuation interference analysis unit, the charging and discharging performance detection platform is unidirectionally connected to the charging performance division unit and the discharge performance evaluation unit, the charging performance division unit is unidirectionally connected to the performance degradation analysis unit, the performance degradation analysis unit is unidirectionally connected to the discharge performance evaluation unit and the display unit, the attenuation interference analysis unit is unidirectionally connected to the discharge performance evaluation unit, and the discharge performance evaluation unit is unidirectionally connected to the display unit;

[0034] The charging and discharging performance detection platform is used to retrieve the charging information and discharging risk information of the energy storage device from the energy storage information library, and send the charging information and the discharging risk information to the charging performance classification unit and the discharging performance evaluation unit respectively. After receiving the charging information, the charging performance classification unit immediately performs a charging performance degradation risk evaluation and analysis on the charging information, which is helpful for evaluating and feedback on the charging performance of the energy storage device on the one hand, and for understanding the charging performance degradation level of the energy storage device on the other hand. The specific charging performance degradation risk evaluation and analysis process is as follows:

[0035] The charging period of the energy storage device is collected, and the charging information of the energy storage device during the charging period is obtained. The charging information includes the tolerance deviation index and the efficiency deviation index. The tolerance deviation index and the efficiency deviation index are labeled as NP and XP respectively. According to the formula The actual safety performance coefficient is obtained, where a1 and a2 are preset proportional factors of the tolerance deviation index and the efficiency deviation index, respectively, a3 is a preset correction factor coefficient, a1, a2 and a3 are all greater than zero, and P is the actual safety performance coefficient. The actual safety performance coefficient P is compared and analyzed with the preset actual safety performance coefficient threshold value stored in the internal input:

[0036] If the actual safety performance coefficient P is less than or equal to the preset actual safety performance coefficient threshold, no signal is generated;

[0037] If the actual safety performance coefficient P is greater than the preset actual safety performance coefficient threshold, a performance degradation signal is generated and sent to the display unit. After receiving the performance degradation signal, the display unit immediately displays the preset warning text corresponding to the performance degradation signal to facilitate reasonable management;

[0038] When a performance degradation signal is generated, the performance degradation analysis unit is used to respond to the performance degradation signal and perform charging stability performance degradation matching analysis on the actual safety performance coefficient P to understand the charging stability performance degradation of the current energy storage device. The specific charging stability performance degradation matching analysis process is as follows:

[0039] The part of the actual safety performance coefficient P that is greater than the preset actual safety performance coefficient threshold is obtained and set as the performance degradation value, and the performance degradation value is compared and analyzed with the preset performance degradation value range recorded and stored internally:

[0040] If the performance degradation value is greater than the maximum value in the preset performance degradation value range, it is determined to be a level 1 degradation;

[0041] If the performance degradation value falls within the preset performance degradation value range, it is determined to be a level 2 degradation;

[0042] If the performance degradation value is less than the minimum value in the preset performance degradation value range, it is determined as a level 3 degradation, wherein the level 1 degradation, level 2 degradation and level 3 degradation corresponding to the energy storage device have smaller charging performance degradation risks, and the level 1 degradation, level 2 degradation and level 3 degradation are set as charging performance degradation levels CX, CX=1, 2, 3, that is, charging performance degradation level CX=1 indicates a level 1 degradation, charging performance degradation level CX=2 indicates a level 2 degradation, and charging performance degradation level CX=3 indicates a level 3 degradation, and the charging performance degradation level CX is sent to the display unit. After receiving the charging performance degradation level CX, the display unit immediately displays the preset warning text corresponding to the charging performance degradation level CX, so as to understand the charging performance degradation level of the energy storage device;

[0043] In the embodiment of the present invention, the tolerance deviation index represents the ratio of the difference between the maximum energy storage value of the current energy storage device and the maximum energy storage value at the initial use time of the energy storage device to the time length from the initial use time to the current time. It should be noted that the larger the value of the tolerance deviation index is, the greater the risk of abnormal charging performance risk of the energy storage device is.

[0044] In the embodiment of the present invention, the efficiency deviation index represents the value obtained by subtracting the difference between the input energy of the power grid and the energy actually stored in the energy storage device at the initial use time from the difference between the current input energy of the power grid and the energy actually stored in the energy storage device. It should be noted that the larger the value of the efficiency deviation index, the greater the risk of damage to the charging performance of the energy storage device.

[0045] Embodiment 2:

[0046] The discharge performance evaluation unit receives the discharge risk information and performs a discharge performance combined evaluation analysis on the discharge risk information to understand whether the discharge performance of the energy storage device is normal, so as to provide data support for subsequent analysis. The specific discharge performance combined evaluation analysis process is as follows:

[0047] The discharge period of the energy storage device is obtained, and the discharge risk information of the energy storage device in the discharge period is obtained. The discharge risk information includes a discharge rate fluctuation value and a discharge performance index. The discharge rate fluctuation value and the discharge performance index are labeled FD and FB respectively. The discharge degradation risk coefficient is obtained, where f1, f2 and f3 are the preset weight factors of the discharge rate fluctuation value, the discharge performance index and the discharge interference level FG respectively, f4 is the preset compensation factor, f1, f2, f3 and f4 are all greater than zero, and F is the discharge degradation risk coefficient. The discharge degradation risk coefficient F is compared and analyzed with the preset discharge degradation risk coefficient range stored internally:

[0048] If the discharge degradation risk factor F is greater than the maximum value in the preset discharge degradation risk factor range, it is determined to be a first-level risk;

[0049] If the discharge degradation risk factor F falls within the preset discharge degradation risk factor range, it is judged as a second-level risk;

[0050] If the discharge degradation risk coefficient F is less than the minimum value in the preset discharge degradation risk coefficient range, it is determined as a third-level risk, wherein the discharge continuous stability performance degradation risks corresponding to the first-level risk, the second-level risk and the third-level risk increase in sequence, and the first-level risk, the second-level risk and the third-level risk are set as the performance degradation index XT, XT = 1, 2, 3, that is, the performance degradation index XT = 1, which indicates a first-level risk, the performance degradation index XT = 2, which indicates a second-level risk, and the performance degradation index XT = 3, which indicates a third-level risk;

[0051] The performance degradation index XT of the energy storage device is obtained, and the performance degradation index XT is judged:

[0052] If the performance degradation index XT = 1, no signal is generated;

[0053] If the performance degradation index XT=2 or if the performance degradation index XT=3, a discharge degradation signal is generated and sent to the display unit. After receiving the discharge degradation signal, the display unit immediately displays the preset warning text corresponding to the performance degradation index XT corresponding to the discharge degradation signal, so as to intuitively understand the discharge continuous stability performance degradation of the energy storage device and to manage it reasonably;

[0054] When the performance degradation signal and the discharge abnormality signal are generated, the charging performance degradation level CX and the performance degradation index XT of the energy storage device are obtained. According to the formula TH=e (CX+XT)×α A charge-discharge degradation coefficient is obtained, wherein α is a preset error correction factor, α is greater than zero, and TH is a charge-discharge degradation coefficient. The charge-discharge degradation coefficient TH is compared and analyzed with a preset charge-discharge degradation coefficient interval recorded and stored internally, and a preset charge-discharge degradation level TJ corresponding to the charge-discharge degradation coefficient TH in the preset charge-discharge degradation coefficient interval is obtained. The preset charge-discharge degradation level TJ is sent to a display unit. After receiving the preset charge-discharge degradation level TJ, the display unit immediately displays a preset warning text corresponding to the preset charge-discharge degradation level TJ, so as to intuitively understand the degradation of the charge-discharge performance of the energy storage device, so as to reasonably and specifically manage the energy storage device, so as to improve the charge-discharge performance of the energy storage device;

[0055] In the embodiment of the present invention, each preset charge-discharge degradation coefficient interval is set with a preset charge-discharge degradation level;

[0056] In the embodiment of the present invention, the analysis process of the discharge rate fluctuation value is as follows: the discharge period is divided into i sub-periods, and the discharge rate fluctuation interval in each sub-period is obtained. If the discharge rate fluctuation interval belongs to the preset discharge rate fluctuation range, a period stability signal is generated, and the number of times the generated period stability signal exceeds 2 consecutively is obtained, and it is set as the discharge rate fluctuation value. It should be noted that the larger the value of the discharge rate fluctuation value, the smaller the risk of abnormal continuous discharge stability of the energy storage device;

[0057] In the embodiment of the present invention, the discharge performance index indicates the number of sub-time periods corresponding to a preset threshold value when the ratio between the discharge efficiency and the loss value of the energy storage device is less than the ratio between the discharge efficiency and the loss value of the energy storage device. It should be noted that the larger the value of the discharge performance index, the greater the risk of abnormal continuous discharge of the energy storage device, and it is difficult to achieve a low-consumption and high-efficiency discharge process.

[0058] Embodiment three:

[0059] The attenuation interference analysis unit retrieves the state parameter information of the energy storage device in the non-discharged static state from the energy storage information library, and performs discharge interference supervision division evaluation analysis on the state parameter information to understand the impact of the energy storage device's own attenuation on the energy storage battery's discharge performance. The specific discharge interference supervision division evaluation analysis process is as follows:

[0060] The state parameter information of the energy storage device in the undischarged static state is obtained, and the state parameter information includes the self-discharge deviation amplitude and the capacity decay index. The self-discharge deviation amplitude and the capacity decay index are compared and analyzed with the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold that are recorded and stored internally, and the number of self-discharge deviation amplitudes and capacity decay indexes that are greater than or equal to the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold is obtained, and it is set as the discharge interference coefficient, and the discharge interference coefficient is discriminated:

[0061] If the discharge interference coefficient is equal to zero, it is judged as first-level interference;

[0062] If the discharge interference coefficient is equal to 1, it is judged as secondary interference;

[0063] If the discharge interference coefficient is equal to 2, it is determined to be a third-level interference, wherein the discharge interference degrees corresponding to the first-level interference, the second-level interference and the third-level interference are increased in sequence, and the first-level interference, the second-level interference and the third-level interference are set as the discharge interference level FG, FG=1, 2, 3, that is, the discharge interference level FG=1 represents the first-level interference, the discharge interference level FG=2 represents the second-level interference, and the discharge interference level FG=3 represents the third-level interference, and the discharge interference level FG of the energy storage device in the current discharge period is sent to the discharge performance evaluation unit;

[0064] In the embodiment of the present invention, the analysis process of the self-discharge deviation amplitude is as follows: the duration between the initial use time of the energy storage device and the current time is obtained, and it is set as the input time. The input time is compared and analyzed with the preset input time interval, and the preset self-discharge rate corresponding to the preset input time interval is obtained, and the portion of the current energy storage device's self-discharge rate exceeding the preset self-discharge rate is set as the self-discharge deviation amplitude. It should be noted that the self-discharge deviation amplitude is an influencing parameter reflecting the performance state of the energy storage device itself. The larger the value of the self-discharge deviation amplitude, the greater the risk of performance degradation of the energy storage device;

[0065] In the embodiment of the present invention, each preset input time interval is set with a preset self-discharge rate, and as the value of the input time increases, the value of the preset self-discharge rate increases;

[0066] In the embodiment of the present invention, the capacity decay index indicates the difference between the current rated capacity of the energy storage device and the current available capacity that is greater than a preset threshold value. It should be noted that the greater the value of the capacity decay index, the greater the risk of abnormal discharge continuous stability performance of the energy storage device.

[0067] In summary, the present invention helps to evaluate and feedback the charging performance of the energy storage device by performing charging performance degradation risk assessment analysis on the charging information of the energy storage device, so as to reasonably manage it. The charging stability performance degradation matching analysis performed by information feedback helps to understand the charging performance degradation level of the energy storage device. The analysis is performed from the discharge risk information of the energy storage device, and combined with the attenuation interference factor of the energy storage device, on the one hand, it helps to analyze whether the discharge continuous stability performance of the energy storage device is normal, and on the other hand, it helps to intuitively understand the discharge continuous stability performance degradation level of the energy storage device. The charging and discharging performance degradation of the energy storage device is analyzed in a progressive manner, so as to intuitively understand the charging and discharging performance degradation of the energy storage device, so as to reasonably and targetedly manage the energy storage device to improve the charging and discharging performance of the energy storage device.

[0068] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0069] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. The energy storage device charging and discharging performance detection system based on multi-terminal analysis is characterized by: It includes a charging and discharging performance detection platform, an energy storage information library, a charging performance classification unit, a performance degradation analysis unit, a discharge performance evaluation unit, an attenuation interference analysis unit and a display unit; The charging and discharging performance detection platform is used to retrieve the charging information and discharging risk information of the energy storage device from the energy storage information library, and send the charging information and discharging risk information to the charging performance classification unit and the discharging performance evaluation unit respectively; After receiving the charging information, the charging performance classification unit immediately performs a charging performance degradation risk assessment analysis on the charging information, compares and analyzes the actual safety performance coefficient P obtained, and obtains a performance degradation signal; The performance degradation analysis unit is used to respond to the performance degradation signal and perform charging stability performance degradation matching analysis on the actual safety performance coefficient P to obtain the charging performance degradation level CX; The attenuation interference analysis unit retrieves the state parameter information of the energy storage device in the non-discharged static state from the energy storage information library, and performs discharge interference supervision classification evaluation analysis on the state parameter information to obtain the discharge interference level FG; After receiving the discharge risk information, the discharge performance evaluation unit performs a discharge performance combined evaluation analysis on the discharge risk information, performs a discrimination process on the obtained performance degradation index XT, and obtains a discharge degradation signal; When the performance degradation signal and the discharge abnormality signal are generated, the charging performance degradation level CX and the performance degradation index XT are deeply analyzed, and the obtained preset charging and discharging degradation level TJ is sent to the display unit.

2. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 1 is characterized in that: The charging performance degradation risk assessment and analysis process of the charging performance division unit is as follows: The charging period of the energy storage device is collected, and the charging information of the energy storage device during the charging period is obtained. The charging information includes a tolerance deviation index and an efficiency deviation index. The tolerance deviation index and the efficiency deviation index are labeled NP and XP respectively. The actual safety performance coefficient P is obtained according to the formula. The actual safety performance coefficient P is compared and analyzed with the preset actual safety performance coefficient threshold value entered and stored internally to generate a performance degradation signal.

3. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 2 is characterized in that: The tolerance deviation index represents the ratio of the difference between the maximum energy storage value of the current energy storage device and the maximum energy storage value at the initial use time of the energy storage device to the time length from the initial use time to the current time; The efficiency deviation index represents the value obtained by subtracting the difference between the input energy of the power grid and the actual energy stored in the energy storage device at the initial use time from the difference between the current input energy of the power grid and the actual energy stored in the energy storage device.

4. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 1 is characterized in that: The charging stability performance degradation matching analysis process of the performance degradation analysis unit is as follows: The part of the actual safety performance coefficient P that is greater than the preset actual safety performance coefficient threshold is obtained, and it is set as the performance degradation value, and the performance degradation value is compared and analyzed with the preset performance degradation value range recorded and stored internally to obtain the first level degradation, the second level degradation and the third level degradation, and the first level degradation, the second level degradation and the third level degradation are set as the charging performance degradation level CX, CX=1, 2, 3.

5. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 1 is characterized in that: The discharge interference supervision division evaluation and analysis process of the attenuation interference analysis unit is as follows: The state parameter information of the energy storage device in the non-discharged static state is obtained, and the state parameter information includes the self-discharge deviation amplitude and the capacity decay index. The self-discharge deviation amplitude and the capacity decay index are compared and analyzed with the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold that are internally entered and stored, and the number of self-discharge deviation amplitudes and capacity decay indexes corresponding to the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold that are greater than or equal to the preset self-discharge deviation amplitude threshold and the preset capacity decay index threshold is obtained, and it is set as the discharge interference coefficient, and the discharge interference coefficient is discriminated and processed to obtain the first-level interference, the second-level interference and the third-level interference, and the first-level interference, the second-level interference and the third-level interference are set as the discharge interference level FG, FG=1, 2, 3.

6. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 5 is characterized in that: The duration between the initial use time of the energy storage device and the current time is obtained, and it is set as the investment time. The investment time is compared and analyzed with the preset investment time interval, and the preset self-discharge rate corresponding to the investment time interval belonging to the preset investment time interval is obtained, and the part of the self-discharge rate of the current energy storage device that exceeds the preset self-discharge rate is set as the self-discharge deviation amplitude; the capacity decay index represents the part of the difference between the current rated capacity of the energy storage device and the current available capacity that is greater than the preset threshold.

7. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 6 is characterized in that: The discharge performance combined evaluation and analysis process of the discharge performance evaluation unit is as follows: The discharge period of the energy storage device is obtained, and the discharge risk information of the energy storage device within the discharge period is obtained. The discharge risk information includes a discharge rate fluctuation value and a discharge performance index. The discharge rate fluctuation value and the discharge performance index are labeled as FD and FB respectively. The discharge degradation risk coefficient F is obtained according to the formula. The discharge degradation risk coefficient F is compared and analyzed with the preset discharge degradation risk coefficient range entered and stored internally to obtain the first-level risk, the second-level risk and the third-level risk. The first-level risk, the second-level risk and the third-level risk are set as the performance degradation index XT, XT=1, 2, 3.

8. The energy storage device charging and discharging performance detection system based on multi-terminal analysis according to claim 7 is characterized in that: The performance degradation index XT of the energy storage device is obtained, and the performance degradation index XT is judged: if the performance degradation index XT=1, no signal is generated; if the performance degradation index XT=2 or if the performance degradation index XT=3, a discharge degradation signal is generated; The charging performance degradation level CX and performance degradation index XT of the energy storage device are obtained, and the charging and discharging degradation coefficient TH is obtained according to the formula. The charging and discharging degradation coefficient TH is compared and analyzed with the preset charging and discharging degradation coefficient interval stored internally, and the preset charging and discharging degradation level TJ corresponding to the charging and discharging degradation coefficient TH in the preset charging and discharging degradation coefficient interval is obtained.

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