Intelligent management platform for electric power energy storage system

Abstract

The invention relates to the technical field of power energy storage system management, and particularly discloses an intelligent management platform for a power energy storage system, which comprises an energy storage state analysis module, a charge and discharge efficiency monitoring module, a self-discharge rate monitoring module, an energy conversion efficiency monitoring module, a comprehensive energy efficiency evaluation analysis module, a display terminal and a cloud database. According to the method, the charging and discharging parameters of the energy storage battery pack corresponding to the target electric energy storage system in the charging process and the discharging process are monitored and analyzed, so that the charging and discharging efficiency evaluation index corresponding to the target electric energy storage system is obtained, and visual data support can be provided for the corresponding energy efficiency level of the subsequent target electric energy storage system; and meanwhile, an electric power energy storage system manager can know the charging and discharging state information of the energy storage battery pack in time, so that timely processing is carried out, and the serious influence on the energy efficiency of a subsequent target electric power energy storage system is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power energy storage system management, and in particular to an intelligent management platform for a power energy storage system. Background Art

[0002] Electricity plays a vital role in the development of modern society, and the power storage system is a key link in ensuring the stable supply and efficient use of electricity. In the operation of the power system, there is an imbalance between power supply and demand in time and space. For example, during the low-power consumption period, if the excess electricity generated by power generation cannot be effectively stored, it will cause energy waste; and during the peak power consumption period, insufficient power supply will affect the normal power consumption of users. The power storage system stores electrical energy in the form of chemical energy, mechanical energy, etc., and converts it into electrical energy when needed, thereby playing an important role in peak shaving, smoothing power output, and improving the stability of the power system. In the power storage system, a variety of complex equipment and technologies are involved, including battery packs, power conversion systems, battery management systems, etc. These devices interact with each other during operation, and their operating status directly affects the performance of the energy storage system.

[0003] However, in the existing management methods of power energy storage systems, it is difficult to dynamically grasp the charging and discharging efficiency and self-discharge rate of the energy storage battery packs in the power energy storage system, which hinders the efficient management of the operation of the power energy storage system. It is also difficult to accurately determine and analyze the energy conversion efficiency of the power conversion system in the power energy storage system, and it is impossible to clearly analyze the energy efficiency indicators in the power energy storage system, making it difficult to ensure the safety and energy utilization efficiency of the power energy storage system.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management platform for an electric energy storage system to solve the problems raised in the above background.

[0006] The purpose of the present invention can be achieved by the following technical solution: An intelligent management platform for an electric energy storage system, comprising: The energy storage status analysis module is used to analyze the energy storage status of the energy storage battery group corresponding to the target power energy storage system within the preset monitoring and management period. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a charging state, it indicates that the target power energy storage system is in a charging process. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a primary energy storage state, it indicates that the target power energy storage system is in a self-discharging process. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a secondary energy storage state, it indicates that the target power energy storage system is in a discharging process. Among them, the specific manifestation of the primary energy storage state is that the energy storage battery group corresponding to the target power energy storage system is not charging, and the energy storage battery group corresponding to the target power energy storage system is not supplying energy. The specific manifestation of the secondary energy storage state is that the energy storage battery group corresponding to the target power energy storage system is not charging, but the energy storage battery group corresponding to the target power energy storage system is supplying energy.

[0007] A charge and discharge efficiency monitoring module is used to monitor the charge and discharge parameter information corresponding to the target power energy storage system, thereby analyzing the charge and discharge efficiency evaluation index corresponding to the target power energy storage system to obtain the charge and discharge efficiency evaluation index corresponding to the target power energy storage system; A self-discharge rate monitoring module is used to monitor the self-discharge parameter information corresponding to the target power energy storage system, thereby analyzing the self-discharge rate evaluation index corresponding to the target power energy storage system to obtain the self-discharge rate evaluation index corresponding to the target power energy storage system; An energy conversion efficiency monitoring module is used to monitor the power conversion parameter information corresponding to the target power energy storage system, thereby analyzing the energy conversion efficiency evaluation index corresponding to the target power energy storage system to obtain the energy conversion efficiency evaluation index corresponding to the target power energy storage system; A comprehensive energy efficiency evaluation and analysis module is used to analyze the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system based on the charge and discharge efficiency evaluation index, self-discharge rate evaluation index and energy conversion efficiency evaluation index corresponding to the target power energy storage system, and obtain the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system; A display terminal, used to perform corresponding display operations based on the energy efficiency level corresponding to the target electric energy storage system; The cloud database is used to store the energy storage battery group types corresponding to the target power energy storage system.

[0008] Furthermore, the charging and discharging parameter information corresponding to the target power storage system is monitored. The specific monitoring method is as follows: 101: detecting the battery voltage of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by means of a voltage sensor, so as to obtain the battery voltage of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 102: Detecting the battery current of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by using a current sensor to obtain the battery current of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 103: Detecting the battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by using a temperature sensor to obtain the battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 104: Detecting the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process through a power monitor, obtaining the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process, and extracting the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the charging process, and at the same time obtaining the interval time corresponding to the first monitoring time point and the last monitoring time point during the charging process as the charging time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the charging process; 105: Detect each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the discharge process in the same operation mode as steps 101-104, thereby obtaining the discharge battery voltage, discharge current, and discharge battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, as well as the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point, the power of the last monitoring time point, and the discharge duration during the discharge process.

[0009] Furthermore, the charge and discharge efficiency evaluation index corresponding to the target power storage system is analyzed. The specific analysis method is as follows: Extract the charging and discharging parameter information corresponding to the target power energy storage system from the charging and discharging parameter information corresponding to the target power energy storage system. The charging battery voltage, charging battery current and charging battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process are marked as , i represents the serial number of each energy storage battery cell, i=1,2,....,m, m represents the total number of energy storage battery cell serial numbers, j represents the serial number of each monitoring time point during the charging process, j=1,2,....,n, n represents the total number of monitoring time point serial numbers during the charging process; Extract the discharge battery voltage, discharge battery current and discharge battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, and mark them as , f represents the number of each monitoring time point during the discharge process, f=1,2,....,g, g represents the total number of monitoring time point numbers during the discharge process; At the same time, the energy storage battery group type corresponding to the target power energy storage system is obtained from the cloud database, and the energy storage battery group type corresponding to the target power energy storage system is matched with the reference charge and discharge data set corresponding to each set energy storage battery group type to obtain the reference charge and discharge data set corresponding to the energy storage battery group type of the target power energy storage system, and the reference charging battery voltage, reference charging battery current, reference charging battery temperature, reference discharging battery voltage, reference discharging battery current and reference discharging battery temperature of the energy storage battery group type corresponding to the target power energy storage system are extracted from it, and they are marked as ; Extract the charging time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the charging process and the discharging time during the discharging process, marked as ; The charging capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the charging process are calculated by difference, and the total charging capacity of each energy storage battery cell during the charging process is obtained, and it is matched with the reference charging time corresponding to the set total charging capacity to obtain the reference charging time of each energy storage battery cell during the charging process, which is recorded as ; The discharge capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the discharge process are calculated by difference, and the total discharge capacity of each energy storage battery cell during the discharge process is obtained, and it is matched with the reference discharge duration corresponding to the set total discharge capacity to obtain the reference discharge duration of each energy storage battery cell during the discharge process, which is recorded as ; According to the formula Calculate the charging evaluation index of the energy storage battery group corresponding to the target power energy storage system , They respectively represent the set allowable rechargeable battery voltage difference, the allowable rechargeable battery current difference, and the allowable rechargeable battery temperature difference, and a1, a2, a3, and a4 respectively represent the set influencing factors; According to the formula Calculate the discharge evaluation index of the energy storage battery group corresponding to the target power energy storage system , They respectively represent the set allowable discharge battery voltage difference, the allowable discharge battery current difference, and the allowable discharge battery temperature difference, and a5, a6, a7, and a8 respectively represent the set influence factors; According to the formula Calculate the charge and discharge efficiency evaluation index corresponding to the target power storage system , b1 and b2 represent the set weight factors respectively.

[0010] Furthermore, the self-discharge parameter information corresponding to the target power storage system is monitored, and the specific monitoring method is as follows: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is detected by a power monitor, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is obtained, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the self-discharge process are extracted, and the interval time corresponding to the first monitoring time point and the last monitoring time point during the self-discharge process is obtained at the same time, as the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process; The apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process is detected by an intelligent camera to obtain the apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and the number of detachments, the number of damages and each detachment area, each damage area of ​​each energy storage battery cell are extracted therefrom, and each detachment area and each damage area are accumulated and calculated to obtain the total detachment area and the total damage area; The temperature sensor is used to detect the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process, so as to obtain the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process.

[0011] Furthermore, the self-discharge rate evaluation index corresponding to the target power storage system is analyzed. The specific analysis method is as follows: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process at the first monitoring time point and the power of the last monitoring time point are extracted from the self-discharge parameter information corresponding to the target power storage system, and the difference is calculated to obtain the self-discharge amount of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process, which is marked as , and at the same time extract the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and mark it as ; According to the formula Calculate the self-discharge rate of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process ; The number of detached cells, the number of damaged cells, the total detached area and the total damaged area of ​​each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process are extracted from the self-discharge parameter information corresponding to the target power energy storage system, and are marked as ; According to the formula Calculate the aging index of the target power energy storage system corresponding to the energy storage battery group during the self-discharge process , c1, c2, c3, c4 represent the set proportional factors respectively; The ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is extracted from the self-discharge parameter information corresponding to the target power energy storage system, and marked as , and perform mean calculation to obtain the average ambient temperature of each energy storage battery cell in the energy storage battery pack corresponding to the target power energy storage system during the self-discharge process, marked as ; According to the formula Calculate the environmental impact index of the target power energy storage system corresponding to the energy storage battery group during the self-discharge process , It represents the ambient temperature of the reference energy storage battery cell during the self-discharge process, and c5 and c6 represent the set proportional factors respectively; According to the formula Calculate the self-discharge rate evaluation index corresponding to the target power storage system , It represents the set reference self-discharge rate, and d1, d2, and d3 represent the set weight factors respectively.

[0012] Furthermore, the power conversion parameter information corresponding to the target power energy storage system is monitored, and the specific monitoring method is as follows: The input AC power and output DC power of the power conversion system PCS corresponding to the target power storage system during the charging process are detected by a power sensor at each monitoring time point, and the input AC power and output DC power of the power conversion system PCS corresponding to the target power storage system during the charging process are obtained; at the same time, the input DC power and output AC power of the power conversion system PCS corresponding to the target power storage system during the discharging process are detected at each monitoring time point, and the input DC power and output AC power of the power conversion system PCS corresponding to the target power storage system during the discharging process are obtained; Furthermore, the energy conversion efficiency evaluation index corresponding to the target power storage system is analyzed. The specific analysis method is as follows: The input AC power and output DC power of the power conversion system PCS corresponding to the target power storage system at each monitoring time point during the charging process are extracted from the power conversion parameter information of the target power storage system, and marked as , according to the formula Calculate the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the charging process ; The charging conversion efficiency at the first monitoring time point is extracted from the charging conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the charging process, and recorded as ; According to the formula Calculate the charging conversion stability of the target power storage system corresponding to the power conversion system PCS during the charging process , Expressed as the set reference charging conversion efficiency, It is represented as the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the j-1th monitoring time point during the charging process, and e1, e2, and e3 are respectively represented as the set proportional factors; Extract the input DC power and output AC power of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process, and mark them as , according to the formula Calculate the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process ; The discharge conversion efficiency at the first monitoring time point is extracted from the discharge conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the discharge process, and recorded as ; According to the formula Calculate the discharge conversion stability of the target power storage system corresponding to the power conversion system PCS during the discharge process , Expressed as the set reference discharge conversion efficiency, It is represented as the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the f-1th monitoring time point during the discharge process, and e4, e5, and ce6 are respectively represented as the set proportional factors; According to the formula Calculate the energy conversion efficiency evaluation index corresponding to the target power storage system , f1 and f2 represent the set weight factors respectively.

[0013] Furthermore, the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system is analyzed based on the charge and discharge efficiency evaluation index, self-discharge rate evaluation index and energy conversion efficiency evaluation index corresponding to the target power energy storage system. The specific analysis method is as follows; According to the formula Calculate the comprehensive energy efficiency evaluation coefficient corresponding to the target power storage system , w1, w2, w3 represent the set weight factors respectively; The comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system is matched with the comprehensive energy efficiency evaluation coefficient thresholds corresponding to each set energy efficiency level to obtain the energy efficiency level corresponding to the target power energy storage system.

[0014] Beneficial effects of the present invention: The present invention monitors and analyzes the charging and discharging parameters of the energy storage battery group corresponding to the target power energy storage system during the charging and discharging processes, thereby obtaining the charging and discharging efficiency evaluation index corresponding to the target power energy storage system, which can provide intuitive data support for the energy efficiency level corresponding to the subsequent target power energy storage system, and is also conducive to the power energy storage system management personnel to timely understand the charging and discharging status information of the energy storage battery group, and then perform timely processing to avoid serious impact on the energy efficiency of the subsequent target power energy storage system.

[0015] The present invention monitors and analyzes the self-discharge parameters of the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, thereby obtaining a self-discharge rate evaluation index corresponding to the target power energy storage system, which makes up for the lack of energy efficiency analysis of the target power energy storage system to a certain extent, and effectively avoids the problem of abnormal power loss caused by unreasonable self-discharge of the energy storage battery group corresponding to the target power energy storage system.

[0016] The present invention monitors and analyzes the power conversion parameters of the power conversion system corresponding to the target power energy storage system during the charging and discharging processes, thereby obtaining an energy conversion efficiency evaluation index corresponding to the target power energy storage system, further improving the accuracy and comprehensiveness of the energy efficiency evaluation analysis results corresponding to the target power energy storage system, and at the same time helping the power energy storage system managers to timely understand the energy conversion state information of the power conversion system during the charging and discharging processes, and then make timely energy conversion efficiency abnormal response feedback, fully ensuring the energy conversion stability of the power conversion system.

[0017] The present invention can provide intuitive management data for relevant managers by displaying and feeding back the energy efficiency level corresponding to the target electric energy storage system, and can timely discover and handle the energy efficiency anomaly hidden dangers in the target electric energy storage system, thereby maximizing the management feedback efficiency and the energy utilization rate of the target electric energy storage system, avoiding the ineffective use of electric energy and increased energy loss and waste due to untimely handling of energy efficiency indicator anomalies. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] See also Figure 1 As shown, the present invention is an intelligent management platform for an electric energy storage system, comprising: an energy storage state analysis module, a charge and discharge efficiency monitoring module, a self-discharge rate monitoring module, an energy conversion efficiency monitoring module, a comprehensive energy efficiency evaluation and analysis module, a display terminal and a cloud database.

[0022] It should be noted that the intelligent management platform for an electric energy storage system of the present invention is specifically applied to electrochemical energy storage types.

[0023] The energy storage status analysis module is connected to the charge and discharge efficiency monitoring module, the self-discharge rate monitoring module and the energy conversion efficiency monitoring module respectively; the comprehensive energy efficiency evaluation and analysis module is connected to the charge and discharge efficiency monitoring module, the self-discharge rate monitoring module and the energy conversion efficiency monitoring module respectively; the display terminal is connected to the comprehensive energy efficiency evaluation and analysis module; and the cloud database is connected to the charge and discharge efficiency monitoring module.

[0024] The energy storage status analysis module is used to analyze the energy storage status of the energy storage battery group corresponding to the target power energy storage system within the preset monitoring and management period. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a charging state, it indicates that the target power energy storage system is in a charging process. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a primary energy storage state, it indicates that the target power energy storage system is in a self-discharging process. When the energy storage status of the energy storage battery group corresponding to the target power energy storage system is a secondary energy storage state, it indicates that the target power energy storage system is in a discharging process. Among them, the specific manifestation of the primary energy storage state is that the energy storage battery group corresponding to the target power energy storage system is not charging, and the energy storage battery group corresponding to the target power energy storage system is not supplying energy. The specific manifestation of the secondary energy storage state is that the energy storage battery group corresponding to the target power energy storage system is not charging, but the energy storage battery group corresponding to the target power energy storage system is supplying energy.

[0025] It should be noted that when the energy storage state of the energy storage battery group corresponding to the target power energy storage system is in a charging state, the charging state of each monitoring time point in the charging process of the target power energy storage system is monitored and analyzed. When the energy storage state of the energy storage battery group corresponding to the target power energy storage system changes, the starting time point when the energy storage state of the energy storage battery group corresponding to the target power energy storage system changes is recorded as the end time point of the charging process corresponding to the target power energy storage system, as the last monitoring time point of the charging process corresponding to the target power energy storage system. Similarly, when the energy storage state of the energy storage battery group corresponding to the target power energy storage system is analyzed to be the first-level energy storage state or the second-level energy storage state, the monitoring time points of the self-discharge process of the target power energy storage system or the monitoring time points of the discharge process of the target power energy storage system are obtained.

[0026] The charging and discharging efficiency monitoring module is used to monitor the charging and discharging parameter information corresponding to the target power storage system. The specific monitoring method is: The battery voltage of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process is detected by a voltage sensor to obtain the battery voltage of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; at the same time, the battery voltage of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process is detected to obtain the battery voltage of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process; The battery current of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process is detected by a current sensor to obtain the battery current of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; at the same time, the battery current of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharging process is detected to obtain the battery current of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharging process; The battery temperature of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process is detected by a temperature sensor to obtain the battery temperature of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; at the same time, the battery temperature of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharging process is detected to obtain the battery temperature of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharging process; The power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process is detected by a power monitor, and the power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process is obtained, and the power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the charging process are extracted, and the interval length corresponding to the first monitoring time point and the last monitoring time point during the charging process is obtained as the charging time of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system during the charging process. duration; at the same time, the power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process is detected to obtain the power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, and extract the power of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the discharge process, and at the same time obtain the interval duration corresponding to the first monitoring time point and the last monitoring time point during the discharge process as the discharge duration of each energy storage battery monomer in the energy storage battery group corresponding to the target power energy storage system during the discharge process.

[0027] Based on this, the charge and discharge efficiency evaluation index corresponding to the target power storage system is analyzed. The specific analysis method is as follows: Extract the charging and discharging parameter information corresponding to the target power energy storage system from the charging and discharging parameter information corresponding to the target power energy storage system. The charging battery voltage, charging battery current and charging battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process are marked as , i represents the serial number of each energy storage battery cell, i=1,2,....,m, m represents the total number of energy storage battery cell serial numbers, j represents the serial number of each monitoring time point during the charging process, j=1,2,....,n, n represents the total number of monitoring time point serial numbers during the charging process; Extract the discharge battery voltage, discharge battery current and discharge battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, and mark them as , f represents the number of each monitoring time point during the discharge process, f=1,2,....,g, g represents the total number of monitoring time point numbers during the discharge process; At the same time, the energy storage battery group type corresponding to the target power energy storage system is obtained from the cloud database, and the energy storage battery group type corresponding to the target power energy storage system is matched with the reference charge and discharge data set corresponding to each set energy storage battery group type to obtain the reference charge and discharge data set corresponding to the energy storage battery group type of the target power energy storage system, and the reference charging battery voltage, reference charging battery current, reference charging battery temperature, reference discharging battery voltage, reference discharging battery current and reference discharging battery temperature of the energy storage battery group type corresponding to the target power energy storage system are extracted from it, and they are marked as , wherein the energy storage battery pack type includes but is not limited to lithium-ion battery pack type, sodium-ion battery pack type, and lead-acid battery pack type; Extract the charging time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the charging process and the discharging time during the discharging process, marked as ; The charging capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the charging process are calculated by difference, and the total charging capacity of each energy storage battery cell during the charging process is obtained, and it is matched with the reference charging time corresponding to the set total charging capacity to obtain the reference charging time of each energy storage battery cell during the charging process, which is recorded as ; The discharge capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the discharge process are calculated by difference, and the total discharge capacity of each energy storage battery cell during the discharge process is obtained, and it is matched with the reference discharge duration corresponding to the set total discharge capacity to obtain the reference discharge duration of each energy storage battery cell during the discharge process, which is recorded as ; According to the formula Calculate the charging evaluation index of the energy storage battery group corresponding to the target power energy storage system , They respectively represent the set allowable rechargeable battery voltage difference, the allowable rechargeable battery current difference, and the allowable rechargeable battery temperature difference, and a1, a2, a3, and a4 respectively represent the set influencing factors; According to the formula Calculate the discharge evaluation index of the energy storage battery group corresponding to the target power energy storage system , They respectively represent the set allowable discharge battery voltage difference, the allowable discharge battery current difference, and the allowable discharge battery temperature difference, and a5, a6, a7, and a8 respectively represent the set influence factors; According to the formula Calculate the charge and discharge efficiency evaluation index corresponding to the target power storage system , b1 and b2 represent the set weight factors respectively.

[0028] In a specific embodiment, the present invention monitors and analyzes the charging and discharging parameters of the energy storage battery group corresponding to the target power energy storage system during the charging and discharging processes, thereby obtaining a charging and discharging efficiency evaluation index corresponding to the target power energy storage system, which can provide intuitive data support for the energy efficiency level corresponding to the subsequent target power energy storage system, and is also conducive to the power energy storage system management personnel to timely understand the charging and discharging status information of the energy storage battery group, and then perform timely processing to avoid serious impact on the energy efficiency of the subsequent target power energy storage system.

[0029] The self-discharge rate monitoring module is used to monitor the self-discharge parameter information corresponding to the target power storage system. The specific monitoring method is as follows: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is detected by a power monitor, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is obtained, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the self-discharge process are extracted, and the interval time corresponding to the first monitoring time point and the last monitoring time point during the self-discharge process is obtained at the same time, as the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process; The apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process is detected by an intelligent camera to obtain the apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and the number of detachments, the number of damages and each detachment area, each damage area of ​​each energy storage battery cell are extracted therefrom, and each detachment area and each damage area are accumulated and calculated to obtain the total detachment area and the total damage area; The temperature sensor is used to detect the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process, so as to obtain the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process.

[0030] Based on this, the self-discharge rate evaluation index corresponding to the target power energy storage system is analyzed. The specific analysis method is as follows: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process at the first monitoring time point and the power of the last monitoring time point are extracted from the self-discharge parameter information corresponding to the target power storage system, and the difference is calculated to obtain the self-discharge amount of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process, which is marked as , and at the same time extract the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and mark it as ; According to the formula Calculate the self-discharge rate of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process ; The number of detached cells, the number of damaged cells, the total detached area and the total damaged area of ​​each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process are extracted from the self-discharge parameter information corresponding to the target power energy storage system, and are marked as ; According to the formula Calculate the aging index of the target power energy storage system corresponding to the energy storage battery group during the self-discharge process , c1, c2, c3, c4 represent the set proportional factors respectively; The ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is extracted from the self-discharge parameter information corresponding to the target power energy storage system, and marked as , and perform mean calculation to obtain the average ambient temperature of each energy storage battery cell in the energy storage battery pack corresponding to the target power energy storage system during the self-discharge process, marked as ; According to the formula Calculate the environmental impact index of the target power energy storage system corresponding to the energy storage battery group during the self-discharge process , It represents the ambient temperature of the reference energy storage battery cell during the self-discharge process, and c5 and c6 represent the set proportional factors respectively; According to the formula Calculate the self-discharge rate evaluation index corresponding to the target power storage system , It represents the set reference self-discharge rate, and d1, d2, and d3 represent the set weight factors respectively.

[0031] In a specific embodiment, the present invention monitors and analyzes the self-discharge parameters of the energy storage battery group corresponding to the target power storage system during the self-discharge process, thereby obtaining a self-discharge rate evaluation index corresponding to the target power storage system, which to a certain extent makes up for the insufficient energy efficiency analysis of the target power storage system, and effectively avoids the problem of abnormal power loss caused by unreasonable self-discharge of the energy storage battery group corresponding to the target power storage system.

[0032] The energy conversion efficiency monitoring module is used to monitor the power conversion parameter information corresponding to the target power energy storage system. The specific monitoring method is: The input AC power and output DC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the charging process are detected by a power sensor, and the input AC power and output DC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the charging process are obtained; at the same time, the input DC power and output AC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the discharging process are detected, and the input DC power and output AC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the discharging process are obtained.

[0033] It should be noted that during the charging process, the power storage system receives electrical energy through the power conversion system PCS, converts it into a current and voltage suitable for charging the battery pack, and then stores it as chemical energy. During the discharge process, when electrical energy needs to be released, the chemical energy in the battery pack is converted into electrical energy and output through the power conversion system PCS to meet the required current and voltage.

[0034] Based on this, the energy conversion efficiency evaluation index corresponding to the target power energy storage system is analyzed. The specific analysis method is as follows: The input AC power and output DC power of the power conversion system PCS corresponding to the target power storage system at each monitoring time point during the charging process are extracted from the power conversion parameter information of the target power storage system, and marked as , according to the formula Calculate the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the charging process ; The charging conversion efficiency at the first monitoring time point is extracted from the charging conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the charging process, and recorded as ; According to the formula Calculate the charging conversion stability of the target power storage system corresponding to the power conversion system PCS during the charging process , Expressed as the set reference charging conversion efficiency, It is represented as the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the j-1th monitoring time point during the charging process, and e1, e2, and e3 are respectively represented as the set proportional factors; Extract the input DC power and output AC power of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process, and mark them as , according to the formula Calculate the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process ; The discharge conversion efficiency at the first monitoring time point is extracted from the discharge conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the discharge process, and recorded as ; According to the formula Calculate the discharge conversion stability of the target power storage system corresponding to the power conversion system PCS during the discharge process , Expressed as the set reference discharge conversion efficiency, It is represented as the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the f-1th monitoring time point during the discharge process, and e4, e5, and ce6 are respectively represented as the set proportional factors; According to the formula Calculate the energy conversion efficiency evaluation index corresponding to the target power storage system , f1 and f2 represent the set weight factors respectively.

[0035] In a specific embodiment, the present invention monitors and analyzes the power conversion parameters of the power conversion system corresponding to the target power energy storage system during the charging and discharging processes, thereby obtaining an energy conversion efficiency evaluation index corresponding to the target power energy storage system, thereby further improving the accuracy and comprehensiveness of the energy efficiency evaluation analysis results corresponding to the target power energy storage system, and at the same time, it is beneficial for the power energy storage system management personnel to timely understand the energy conversion status information of the power conversion system during the charging and discharging process, and then make timely energy conversion efficiency abnormal response feedback, fully ensuring the energy conversion stability of the power conversion system.

[0036] The comprehensive energy efficiency evaluation and analysis module is used to analyze the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system based on the charge and discharge efficiency evaluation index, self-discharge rate evaluation index and energy conversion efficiency evaluation index corresponding to the target power energy storage system. The specific analysis method is as follows; According to the formula Calculate the comprehensive energy efficiency evaluation coefficient corresponding to the target power storage system , w1, w2, w3 represent the set weight factors respectively; The comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system is matched with the comprehensive energy efficiency evaluation coefficient thresholds corresponding to each set energy efficiency level to obtain the energy efficiency level corresponding to the target power energy storage system.

[0037] The display terminal is used to perform corresponding display operations based on the energy efficiency level corresponding to the target electric energy storage system.

[0038] The cloud database is used to store the energy storage battery group types corresponding to the target power energy storage system.

[0039] In a specific embodiment, the present invention can provide intuitive management data for relevant managers by displaying and feeding back the energy efficiency level corresponding to the target electric energy storage system, and can timely discover and handle the hidden dangers of energy efficiency anomalies in the target electric energy storage system, thereby maximizing the management feedback efficiency and the energy utilization rate of the target electric energy storage system, and avoiding the ineffective use of electric energy, increased energy loss and waste due to untimely handling of energy efficiency indicator anomalies.

[0040] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent management platform for an electric energy storage system, characterized in that: include: Energy storage status analysis module, charge and discharge efficiency monitoring module, self-discharge rate monitoring module, energy conversion efficiency monitoring module, comprehensive energy efficiency evaluation and analysis module, display terminal and cloud database; The charging and discharging efficiency monitoring module is used to monitor the charging and discharging parameter information corresponding to the target power energy storage system, thereby analyzing the charging and discharging efficiency evaluation index corresponding to the target power energy storage system to obtain the charging and discharging efficiency evaluation index corresponding to the target power energy storage system; The self-discharge rate monitoring module is used to monitor the self-discharge parameter information corresponding to the target power energy storage system, thereby analyzing the self-discharge rate evaluation index corresponding to the target power energy storage system to obtain the self-discharge rate evaluation index corresponding to the target power energy storage system; The energy conversion efficiency monitoring module is used to monitor the power conversion parameter information corresponding to the target power energy storage system, thereby analyzing the energy conversion efficiency evaluation index corresponding to the target power energy storage system to obtain the energy conversion efficiency evaluation index corresponding to the target power energy storage system; The comprehensive energy efficiency evaluation and analysis module is used to analyze the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system based on the charging and discharging efficiency evaluation index, self-discharge rate evaluation index and energy conversion efficiency evaluation index corresponding to the target power energy storage system, and obtain the comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system.

2. An intelligent management platform for electric energy storage system according to claim 1, characterized in that: The energy storage state analysis module is used to analyze the energy storage state of the energy storage battery group corresponding to the target power energy storage system within a preset monitoring and management period. When the energy storage state of the energy storage battery group corresponding to the target power energy storage system is a charging state, it indicates that the target power energy storage system is in a charging process. When the energy storage state of the energy storage battery group corresponding to the target power energy storage system is a primary energy storage state, it indicates that the target power energy storage system is in a self-discharging process. When the energy storage state of the energy storage battery group corresponding to the target power energy storage system is a secondary energy storage state, it indicates that the target power energy storage system is in a discharging process. The primary energy storage state is specifically manifested as the energy storage battery group corresponding to the target power energy storage system is not being charged, and the energy storage battery group corresponding to the target power energy storage system is not supplying energy. The secondary energy storage state is specifically manifested as the energy storage battery group corresponding to the target power energy storage system is not being charged, but the energy storage battery group corresponding to the target power energy storage system is supplying energy.

3. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The display terminal is used to perform corresponding display operations based on the energy efficiency level corresponding to the target electric energy storage system; The cloud database is used to store the energy storage battery group type corresponding to the target electric energy storage system.

4. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The charging and discharging parameter information corresponding to the target power energy storage system is monitored in the following specific manner: 101: detecting the battery voltage of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by means of a voltage sensor, so as to obtain the battery voltage of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 102: Detecting the battery current of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by using a current sensor to obtain the battery current of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 103: Detecting the battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process by using a temperature sensor to obtain the battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process; 104: Detecting the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process through a power monitor, obtaining the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process, and extracting the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the charging process, and at the same time obtaining the interval time corresponding to the first monitoring time point and the last monitoring time point during the charging process as the charging time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the charging process; 105: Detect each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the discharge process in the same operation mode as steps 101-104, thereby obtaining the battery voltage, battery current, battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point during the discharge process, the power of the last monitoring time point during the discharge process, and the discharge duration.

5. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The charge and discharge efficiency evaluation index corresponding to the target power storage system is analyzed in the following specific analysis method: Extract the charging and discharging parameter information corresponding to the target power energy storage system from the charging and discharging parameter information corresponding to the target power energy storage system. The charging battery voltage, charging battery current and charging battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the charging process are marked as , i represents the serial number of each energy storage battery cell, i=1,2,....,m, m represents the total number of energy storage battery cell serial numbers, j represents the serial number of each monitoring time point during the charging process, j=1,2,....,n, n represents the total number of monitoring time point serial numbers during the charging process; Extract the discharge battery voltage, discharge battery current and discharge battery temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the discharge process, and mark them as , f represents the number of each monitoring time point during the discharge process, f=1,2,....,g, g represents the total number of monitoring time point numbers during the discharge process; At the same time, the energy storage battery group type corresponding to the target power energy storage system is obtained from the cloud database, and the energy storage battery group type corresponding to the target power energy storage system is matched with the reference charge and discharge data set corresponding to each set energy storage battery group type to obtain the reference charge and discharge data set corresponding to the energy storage battery group type of the target power energy storage system, and the reference charging battery voltage, reference charging battery current, reference charging battery temperature, reference discharging battery voltage, reference discharging battery current and reference discharging battery temperature of the energy storage battery group type corresponding to the target power energy storage system are extracted from it, and they are marked as ; Extract the charging time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the charging process and the discharging time during the discharging process, marked as ; The charging capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the charging process are calculated by difference, and the total charging capacity of each energy storage battery cell during the charging process is obtained, and it is matched with the reference charging time corresponding to the set total charging capacity to obtain the reference charging time of each energy storage battery cell during the charging process, which is recorded as ; The discharge capacity of each energy storage battery cell in the target power storage system corresponding to the energy storage battery group at the first monitoring time point and the capacity at the last monitoring time point during the discharge process are calculated by difference, and the total discharge capacity of each energy storage battery cell during the discharge process is obtained, and it is matched with the reference discharge duration corresponding to the set total discharge capacity to obtain the reference discharge duration of each energy storage battery cell during the discharge process, which is recorded as ; According to the formula Calculate the charging evaluation index of the energy storage battery group corresponding to the target power energy storage system , They respectively represent the set allowable rechargeable battery voltage difference, the allowable rechargeable battery current difference, and the allowable rechargeable battery temperature difference, and a1, a2, a3, and a4 respectively represent the set influencing factors; Similarly, the discharge evaluation index of the target power storage system corresponding to the energy storage battery group is obtained by analysis: ; According to the formula Calculate the charge and discharge efficiency evaluation index corresponding to the target power storage system , b1 and b2 represent the set weight factors respectively.

6. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The self-discharge parameter information corresponding to the target power storage system is monitored in the following specific manner: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is detected by a power monitor, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is obtained, and the power of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at the first monitoring time point and the power of the last monitoring time point during the self-discharge process are extracted, and the interval time corresponding to the first monitoring time point and the last monitoring time point during the self-discharge process is obtained at the same time, as the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process; The apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process is detected by an intelligent camera to obtain the apparent image of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and the number of detachments, the number of damages and each detachment area, each damage area of ​​each energy storage battery cell are extracted therefrom, and each detachment area and each damage area are accumulated and calculated to obtain the total detachment area and the total damage area; The temperature sensor is used to detect the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process, so as to obtain the ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process.

7. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The self-discharge rate evaluation index corresponding to the target power energy storage system is analyzed in the following specific analysis method: The power of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process at the first monitoring time point and the power of the last monitoring time point are extracted from the self-discharge parameter information corresponding to the target power storage system, and the difference is calculated to obtain the self-discharge amount of each energy storage battery cell in the energy storage battery group corresponding to the target power storage system during the self-discharge process, which is marked as , and at the same time extract the self-discharge time of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process, and mark it as ; According to the formula Calculate the self-discharge rate of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system during the self-discharge process ; The number of detached cells, the number of damaged cells, the total detached area and the total damaged area of ​​each energy storage battery cell in the energy storage battery pack corresponding to the target power energy storage system during the self-discharge process are extracted from the self-discharge parameter information corresponding to the target power energy storage system. The aging degree index of the energy storage battery pack corresponding to the target power energy storage system during the self-discharge process is obtained through comprehensive analysis. ; The ambient temperature of each energy storage battery cell in the energy storage battery group corresponding to the target power energy storage system at each monitoring time point during the self-discharge process is extracted from the self-discharge parameter information corresponding to the target power energy storage system, and marked as , and perform mean calculation to obtain the average ambient temperature of each energy storage battery cell in the energy storage battery pack corresponding to the target power energy storage system during the self-discharge process, marked as Through comprehensive analysis, the environmental impact index of the target power storage system corresponding to the energy storage battery group during the self-discharge process is obtained. ; According to the formula Calculate the self-discharge rate evaluation index corresponding to the target power storage system , It represents the set reference self-discharge rate, and d1, d2, and d3 represent the set weight factors respectively.

8. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The power conversion parameter information corresponding to the target power energy storage system is monitored in the following specific manner: The input AC power and output DC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the charging process are detected by a power sensor, and the input AC power and output DC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the charging process are obtained; at the same time, the input DC power and output AC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the discharging process are detected, and the input DC power and output AC power of the power conversion system PCS corresponding to the target power energy storage system at each monitoring time point during the discharging process are obtained.

9. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The energy conversion efficiency evaluation index corresponding to the target power energy storage system is analyzed in the following specific analysis method: The input AC power and output DC power of the power conversion system PCS corresponding to the target power storage system at each monitoring time point during the charging process are extracted from the power conversion parameter information of the target power storage system, and marked as , according to the formula Calculate the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the charging process ; The charging conversion efficiency at the first monitoring time point is extracted from the charging conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the charging process, and recorded as ; According to the formula Calculate the charging conversion stability of the target power storage system corresponding to the power conversion system PCS during the charging process , Expressed as the set reference charging conversion efficiency, It is represented as the charging conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the j-1th monitoring time point during the charging process, and e1, e2, and e3 are respectively represented as the set proportional factors; Extract the input DC power and output AC power of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process, and mark them as , according to the formula Calculate the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at each monitoring time point during the discharge process ; The discharge conversion efficiency at the first monitoring time point is extracted from the discharge conversion efficiency at each monitoring time point of the power conversion system PCS corresponding to the target power storage system during the discharge process, and recorded as ; According to the formula Calculate the discharge conversion stability of the target power storage system corresponding to the power conversion system PCS during the discharge process , Expressed as the set reference discharge conversion efficiency, It is represented as the discharge conversion efficiency of the target power storage system corresponding to the power conversion system PCS at the f-1th monitoring time point during the discharge process, and e4, e5, and ce6 are respectively represented as the set proportional factors; According to the formula Calculate the energy conversion efficiency evaluation index corresponding to the target power storage system , f1 and f2 represent the set weight factors respectively.

10. The intelligent management platform for electric energy storage system according to claim 1, characterized in that: The comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system is analyzed based on the charge and discharge efficiency evaluation index, the self-discharge rate evaluation index and the energy conversion efficiency evaluation index corresponding to the target power energy storage system, and the specific analysis method is as follows; According to the formula Calculate the comprehensive energy efficiency evaluation coefficient corresponding to the target power storage system , w1, w2, w3 represent the set weight factors respectively; The comprehensive energy efficiency evaluation coefficient corresponding to the target power energy storage system is matched with the comprehensive energy efficiency evaluation coefficient thresholds corresponding to each set energy efficiency level to obtain the energy efficiency level corresponding to the target power energy storage system.

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