New energy equipment electric energy storage early warning system based on data analysis

Abstract

The invention discloses a new energy equipment electric energy storage early warning system based on data analysis, and relates to the technical field of electric energy storage, and the system comprises a historical discharge analysis module which comprises a historical discharge temperature analysis unit, a historical discharge depth analysis unit and a historical discharge rate analysis unit. The analysis module is used for analyzing the historical discharge behavior of the electric energy storage system of the new energy equipment to obtain a historical discharge temperature evaluation coefficient, a historical discharge over-discharge evaluation coefficient and a historical discharge rate evaluation coefficient. And the discharge early warning module comprises a historical discharge behavior early warning unit and a discharge efficiency early warning unit, and is used for calculating a historical discharge comprehensive evaluation coefficient, outwards sending a discharge behavior early warning of the new energy equipment electric energy storage system, measuring the actual discharge efficiency of the new energy equipment electric energy storage system and outwards sending an electric energy storage safety early warning. The operation cost of the system is reduced, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of energy storage technology, specifically to an early warning system for energy storage in new energy equipment based on data analysis. Background Technology

[0002] With the increasing urgency of global energy structure transformation and environmental protection needs, the development of new energy fields has been rapid, becoming an important force driving global energy transformation. As a key component of the new energy system, energy storage technology is of great significance for solving the intermittency and instability problems of renewable energy and improving the stability and reliability of power systems. However, with the large-scale application of new energy equipment, how to effectively monitor and manage the status of energy storage systems and prevent potential safety risks has become an urgent problem to be solved.

[0003] Chinese invention application CN119438911A discloses a method, system, device, and medium for monitoring and warning of abnormal battery self-discharge. The method includes collecting operational status data of a vehicle battery; inputting the operational status data into a battery self-discharge warning model to obtain battery status prediction information. The battery self-discharge warning model is obtained through model pre-training based on static and dynamic data. The static data represents the correspondence between the sudden drop in battery terminal voltage and the equivalent resistance value of self-discharge in a static state, while the dynamic data represents the differences in battery parameters between a normal battery and a battery with self-discharge faults in a used state. A corresponding anomaly handling strategy is matched based on the battery status prediction information.

[0004] In the above invention applications, the difference in battery parameters between normal batteries and batteries with self-discharge faults is used to match corresponding anomaly handling strategies based on the battery state prediction information. However, this approach only considers battery self-discharge anomalies and does not address discharge efficiency anomalies during actual use, which may lead to the failure of the data analysis and early warning system. This is because abnormal discharge efficiency can also be a manifestation of internal battery faults or changes in external conditions. If only self-discharge anomalies are monitored and warned against, other important fault information may be missed, causing the system to fail to detect and handle potential safety hazards in a timely manner.

[0005] Therefore, the present invention provides an early warning system for energy storage of new energy equipment based on data analysis. Summary of the Invention

[0006] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a data analysis-based early warning system for energy storage in new energy equipment. By calculating a comprehensive historical discharge evaluation coefficient Zp based on historical discharge temperature evaluation coefficient Lw, historical over-discharge evaluation coefficient, and historical discharge rate evaluation coefficient, the system issues early warnings regarding the discharge behavior of the energy storage system. This provides a comprehensive reflection of the system's discharge behavior and timely detection of potential safety hazards. When the system detects abnormal discharge behavior, it promptly issues an early warning, enabling maintenance personnel to take swift action to prevent malfunctions, thus solving the technical problems raised in the background section.

[0007] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: a data analysis-based early warning system for energy storage in new energy equipment, characterized in that it comprises: The historical discharge analysis module includes a historical discharge temperature analysis unit, a historical discharge depth analysis unit, and a historical discharge rate analysis unit. It is used to analyze the historical discharge behavior of energy storage systems in new energy equipment to obtain the historical discharge temperature evaluation coefficient Lw and the historical over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient .

[0008] The discharge early warning module includes a historical discharge behavior early warning unit and a discharge efficiency early warning unit. It calculates the historical discharge comprehensive evaluation coefficient Zp, issues an early warning of the discharge behavior of the new energy equipment energy storage system, measures the actual discharge efficiency of the new energy equipment energy storage system, and sends an early warning of energy storage safety.

[0009] Furthermore, the discharge duration of each historical discharge of the new energy equipment energy storage system is extracted from the historical operating data of the new energy equipment energy storage system. and average discharge temperature Calculate the historical discharge temperature evaluation coefficient Lw for the energy storage system of new energy equipment: in, i This indicates the sequential number of each historical discharge in the energy storage system of the new energy equipment. i =1, 2, ..., n, where n is the total number of historical discharges of the energy storage system of the new energy equipment.

[0010] Temperature has a significant impact on battery discharge performance. At excessively high temperatures, the chemical reactions inside the battery accelerate, leading to decreased battery performance and increased discharge losses. Furthermore, excessively high temperatures can also trigger safety issues such as battery thermal runaway.

[0011] Furthermore, the discharge depth at the end of each historical discharge in the new energy equipment energy storage system is extracted from the historical operating data of the new energy equipment energy storage system. and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. : Over-discharge refers to the depth of discharge at the end of the discharge process. Historical discharges of less than 20%, where x represents the sequential number of each over-discharge in the energy storage system of the new energy equipment, x=1, 2, ... a , a The total number of historical over-discharges is denoted as , and the duration of over-discharge refers to the time from when the depth of discharge of the new energy equipment's energy storage system is less than 20% to when the depth of discharge is greater than 20%.

[0012] Depth of discharge (DPD) measures the percentage of a battery's remaining charge relative to its rated capacity. DPD significantly impacts battery life and discharge losses. For the same battery, a lower DPD results in a shorter cycle life and potentially greater discharge losses. Therefore, in practical applications, it is necessary to carefully control the DPD to balance the battery's required operating time with the need to extend its cycle life.

[0013] Furthermore, the average discharge rate of each historical discharge of the new energy equipment energy storage system is extracted from the historical operating data of the new energy equipment energy storage system. and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. : The discharge rate refers to the ratio of the discharge current to the battery's rated capacity. The discharge rate also affects discharge loss. At high discharge rates, the chemical reactions inside the battery become more intense, leading to decreased battery performance and increased discharge loss. Therefore, in practical applications, it is necessary to select an appropriate discharge rate based on actual needs to balance the relationship between discharge rate and discharge loss.

[0014] Furthermore, the historical discharge temperature evaluation coefficient Lw and the historical over-discharge evaluation coefficient are obtained. Historical discharge rate evaluation coefficient Calculate the discharge weighting coefficient , and : in, This represents the average historical discharge temperature evaluation coefficient for all new energy equipment energy storage systems. This represents the average historical over-discharge evaluation coefficient of all new energy equipment energy storage systems. This represents the average historical discharge rate evaluation coefficient of all new energy equipment energy storage systems.

[0015] Furthermore, the historical discharge temperature evaluation coefficient Lw and the historical over-discharge evaluation coefficient are obtained. Historical discharge rate evaluation coefficient and discharge weighting coefficient , and Calculate the historical discharge comprehensive evaluation coefficient Zp: When the historical discharge comprehensive evaluation coefficient Zp of the new energy equipment energy storage system exceeds When this occurs, it indicates that the discharge behavior of the new energy equipment's energy storage system is poor, and an early warning of the discharge behavior of the new energy equipment's energy storage system is issued externally; among which, This represents the average of the historical discharge comprehensive evaluation coefficients. This represents the variance of the historical discharge comprehensive evaluation coefficient.

[0016] Furthermore, based on the current and time data during the discharge process, the actual discharge capacity Q1 is calculated through integration: Where I(t) is a function of the discharge current as a function of time.

[0017] Furthermore, obtain the actual discharge capacity Q1 and the rated capacity Q2 of the new energy equipment's energy storage system, and calculate the actual discharge efficiency Dx: Furthermore, the actual discharge efficiency Dx is obtained, and the safety of the energy storage system of the new energy equipment is judged based on the actual discharge efficiency Dx. Different energy storage safety early warning and handling strategies are selected, specifically: when At that time, the feedback indicated that the current new energy equipment energy storage system has high security and no measures need to be taken; when When the system detects that the current safety of the new energy equipment's energy storage system is moderate, a secondary energy storage safety warning command is issued. when At that time, it will report that the current payment account has low security and issue a Level 1 energy storage security warning command.

[0018] (III) Beneficial Effects This invention provides a data analysis-based early warning system for energy storage in new energy equipment, which has the following beneficial effects: 1. Based on the historical discharge duration of each discharge in the energy storage system of new energy equipment. and average discharge temperature Calculate the historical discharge temperature evaluation coefficient of the energy storage system for new energy equipment. By monitoring and analyzing historical discharge temperature evaluation coefficients, potential thermal runaway risks can be detected and prevented in a timely manner, thereby avoiding safety accidents.

[0019] 2. Based on the discharge depth at the end of each historical discharge in the energy storage system of new energy equipment. and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. It can assess the wear and tear of a battery, predict its remaining lifespan, understand the extent of over-discharge damage, and provide a basis for battery maintenance.

[0020] 3. Based on the average discharge rate of each historical discharge of the new energy equipment energy storage system. and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. It provides a quantitative indicator for evaluating the performance of an energy storage system during the discharge process, and can identify problems and deficiencies in the system during discharge.

[0021] 4. Evaluation based on historical discharge temperature coefficient Lw and historical over-discharge evaluation coefficient Historical discharge rate evaluation coefficient Calculating the historical discharge comprehensive evaluation coefficient Zp and issuing early warnings about the discharge behavior of the energy storage system of this new energy equipment can comprehensively reflect the discharge behavior status of the energy storage system and promptly identify potential safety hazards. When the system detects abnormal discharge behavior, it issues timely warnings, enabling maintenance personnel to take rapid measures to prevent failures.

[0022] 5. Upon receiving a discharge behavior warning from the energy storage system of the new energy equipment, measure the actual amount of electricity released by the system from a fully charged state to the final voltage. Obtain the actual discharge efficiency of the system and send out an energy storage safety warning. By optimizing the system's discharge efficiency, energy waste during the discharge process can be reduced. This helps lower system operating costs and improve energy utilization efficiency. Attached Figure Description

[0023] Figure 1This is a schematic diagram of the structure of the energy storage early warning system for new energy equipment based on data analysis according to the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figure 1 This invention provides a data analysis-based early warning system for energy storage in new energy equipment, comprising: The historical discharge analysis module includes a historical discharge temperature analysis unit, a historical discharge depth analysis unit, and a historical discharge rate analysis unit. It is used to analyze the historical discharge behavior of energy storage systems in new energy equipment to obtain the historical discharge temperature evaluation coefficient Lw and the historical over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient .

[0026] The historical discharge temperature analysis unit is based on the discharge duration of each historical discharge from the energy storage system of the new energy equipment. and average discharge temperature Calculate the historical discharge temperature evaluation coefficient Lw for the energy storage system of new energy equipment.

[0027] Extract the discharge duration of each historical discharge from the historical operating data of the new energy equipment energy storage system. and average discharge temperature Calculate the historical discharge temperature evaluation coefficient Lw for the energy storage system of new energy equipment: in, i This indicates the sequential number of each historical discharge in the energy storage system of the new energy equipment. i =1, 2, ..., n, where n is the total number of historical discharges of the energy storage system of the new energy equipment.

[0028] Temperature has a significant impact on battery discharge performance. At excessively high temperatures, the chemical reactions inside the battery accelerate, leading to decreased battery performance and increased discharge losses. Furthermore, excessively high temperatures can also trigger safety issues such as battery thermal runaway.

[0029] Based on the discharge duration of each historical discharge of the new energy equipment energy storage system and average discharge temperature Calculate the historical discharge temperature evaluation coefficient of the energy storage system for new energy equipment. By monitoring and analyzing historical discharge temperature evaluation coefficients, potential thermal runaway risks can be detected and prevented in a timely manner, thereby avoiding safety accidents.

[0030] The historical discharge depth analysis unit is based on the discharge depth at the end of each historical discharge in the energy storage system of new energy equipment. and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. .

[0031] Extract the discharge depth at the end of each historical discharge from the historical operating data of the new energy equipment energy storage system. and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. : Over-discharge refers to the depth of discharge at the end of the discharge process. Historical discharges of less than 20%, where x represents the sequential number of each over-discharge in the energy storage system of the new energy equipment, x=1, 2, ... a , a The total number of historical over-discharges is denoted as , and the duration of over-discharge refers to the time from when the depth of discharge of the new energy equipment's energy storage system is less than 20% to when the depth of discharge is greater than 20%.

[0032] Depth of discharge (DPD) measures the percentage of a battery's remaining charge relative to its rated capacity. DPD significantly impacts battery life and discharge losses. For the same battery, a lower DPD results in a shorter cycle life and potentially greater discharge losses. Therefore, in practical applications, it is necessary to carefully control the DPD to balance the battery's required operating time with the need to extend its cycle life.

[0033] Based on the discharge depth at the end of each historical discharge in the energy storage system of new energy equipment and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. It can assess the wear and tear of a battery, predict its remaining lifespan, understand the extent of over-discharge damage, and provide a basis for battery maintenance.

[0034] The historical discharge rate analysis unit is based on the average discharge rate of each historical discharge from the energy storage system of the new energy equipment. and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. .

[0035] Extract the average discharge rate of each historical discharge from the historical operating data of the new energy equipment energy storage system. and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. : The discharge rate refers to the ratio of the discharge current to the battery's rated capacity. The discharge rate also affects discharge loss. At high discharge rates, the chemical reactions inside the battery become more intense, leading to decreased battery performance and increased discharge loss. Therefore, in practical applications, it is necessary to select an appropriate discharge rate based on actual needs to balance the relationship between discharge rate and discharge loss.

[0036] Based on the average discharge rate of each historical discharge of the new energy equipment energy storage system and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. It provides a quantitative indicator for evaluating the performance of an energy storage system during the discharge process, and can identify problems and deficiencies in the system during discharge.

[0037] The discharge early warning module includes a historical discharge behavior early warning unit and a discharge efficiency early warning unit. It calculates the historical discharge comprehensive evaluation coefficient Zp, issues an early warning of the discharge behavior of the new energy equipment energy storage system, measures the actual discharge efficiency of the new energy equipment energy storage system, and sends an early warning of energy storage safety.

[0038] The historical discharge behavior early warning unit is based on the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient Calculate the historical discharge comprehensive evaluation coefficient Zp and issue an early warning of the discharge behavior of the energy storage system of the new energy equipment.

[0039] Obtain the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient Calculate the discharge weighting coefficient , and : in, This represents the average historical discharge temperature evaluation coefficient for all new energy equipment energy storage systems. This represents the average historical over-discharge evaluation coefficient of all new energy equipment energy storage systems. This represents the average historical discharge rate evaluation coefficient of all new energy equipment energy storage systems.

[0040] Obtain the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient and discharge weighting coefficient , and Calculate the historical discharge comprehensive evaluation coefficient Zp: When the historical discharge comprehensive evaluation coefficient Zp of the new energy equipment energy storage system exceeds When this occurs, it indicates that the discharge behavior of the energy storage system of the new energy equipment is poor, and an early warning of the discharge behavior of the energy storage system of the new energy equipment is issued. Among them, This represents the average of the historical discharge comprehensive evaluation coefficients. This represents the variance of the historical discharge comprehensive evaluation coefficient.

[0041] Based on the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient Historical discharge rate evaluation coefficient Calculating the historical discharge comprehensive evaluation coefficient Zp and issuing early warnings about the discharge behavior of the energy storage system of this new energy equipment can comprehensively reflect the discharge behavior status of the energy storage system and promptly identify potential safety hazards. When the system detects abnormal discharge behavior, it issues timely warnings, enabling maintenance personnel to take rapid measures to prevent failures.

[0042] The discharge efficiency early warning unit, upon receiving an early warning of the discharge behavior of the new energy equipment energy storage system, measures the actual amount of electricity discharged by the new energy equipment energy storage system from a fully charged state to the end voltage, obtains the actual discharge efficiency of the new energy equipment energy storage system, and sends an energy storage safety early warning to the outside world.

[0043] Upon receiving a warning about the discharge behavior of the new energy equipment energy storage system, the system is connected to a specific load for discharge. During the discharge process, changes in voltage, current, and time are monitored and recorded in real time until the system reaches its final voltage level, at which point the discharge stops.

[0044] Based on the current and time data during the discharge process, the actual discharge capacity Q1 is calculated by integration: Where I(t) is a function of the discharge current as a function of time.

[0045] Obtain the actual discharge capacity Q1 and the rated capacity Q2 of the new energy equipment energy storage system, and calculate the actual discharge efficiency Dx: Obtain the actual discharge efficiency Dx, assess the safety of the energy storage system for new energy equipment based on the actual discharge efficiency Dx, and select different energy storage safety early warning and handling strategies, specifically: when At that time, the feedback indicates that the current energy storage system of the new energy equipment is highly secure and no measures need to be taken. Continued monitoring should be maintained to prevent any abnormalities from occurring.

[0046] when Upon receiving a report indicating that the current safety of the new energy equipment's energy storage system is moderate, a secondary energy storage safety warning command is issued to conduct a preliminary inspection of the system to confirm whether there are problems such as battery aging or poor connections. If any problems are found, the system should be replaced or repaired promptly.

[0047] when Upon receiving a report of low security for the current payment account, a Level 1 energy storage security alert is issued, requiring an immediate and comprehensive system check, including battery status, power conversion efficiency, and electrical connections. Simultaneously, temporary measures, such as limiting discharge power, should be considered to prevent further system deterioration.

[0048] Discharge efficiency represents the effectiveness of energy conversion during the discharge process of an energy storage system, usually expressed as a percentage. The calculation formula is (discharge energy / theoretical dischargeable energy) × 100%. Discharge efficiency is a core parameter for measuring energy loss during discharge. Higher discharge efficiency indicates less energy loss during discharge, and vice versa. Therefore, improving discharge efficiency is one of the key ways to reduce discharge losses.

[0049] Upon receiving a discharge behavior warning from the energy storage system of the new energy equipment, the actual amount of electricity released by the system from a fully charged state to the final voltage is measured to obtain the actual discharge efficiency of the system. An energy storage safety warning is then sent out. By optimizing the system's discharge efficiency, energy waste during the discharge process can be reduced. This helps lower the system's operating costs and improve energy utilization efficiency.

[0050] The present invention provides another specific embodiment, as follows: When the actual discharge capacity is 50Ah and the rated capacity of the energy storage system for new energy equipment is 100Ah, then the actual discharge efficiency is... for: Upon receiving a report indicating that the current safety of the new energy equipment's energy storage system is moderate, a secondary energy storage safety warning command is issued to conduct a preliminary inspection of the system to confirm whether there are problems such as battery aging or poor connections. If any problems are found, the system should be replaced or repaired promptly.

[0051] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0052] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0053] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A data analysis-based early warning system for energy storage in new energy equipment, characterized in that: include: The historical discharge analysis module includes a historical discharge temperature analysis unit, a historical discharge depth analysis unit, and a historical discharge rate analysis unit. This is used to analyze the historical discharge behavior of energy storage systems for new energy equipment to obtain the historical discharge temperature evaluation coefficient Lw and the historical over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient . The discharge early warning module includes a historical discharge behavior early warning unit and a discharge efficiency early warning unit. It calculates the historical discharge comprehensive evaluation coefficient Zp, issues an early warning of the discharge behavior of the new energy equipment energy storage system, measures the actual discharge efficiency of the new energy equipment energy storage system, and sends an early warning of energy storage safety.

2. The data analysis-based early warning system for energy storage in new energy equipment according to claim 1, characterized in that: Extract the discharge duration of each historical discharge from the historical operating data of the new energy equipment energy storage system. and average discharge temperature Calculate the historical discharge temperature evaluation coefficient Lw for the energy storage system of new energy equipment: in, i This indicates the sequential number of each historical discharge in the energy storage system of the new energy equipment. i =1, 2, ..., n, where n is the total number of historical discharges of the energy storage system of the new energy equipment.

3. The early warning system for energy storage of new energy equipment based on data analysis according to claim 1, characterized in that: Extract the discharge depth at the end of each historical discharge from the historical operating data of the new energy equipment energy storage system. and duration of over-discharge Calculate the historical over-discharge evaluation coefficient of the energy storage system of new energy equipment. : Over-discharge refers to the depth of discharge at the end of the discharge process. Historical discharges of less than 20%, where x represents the sequential number of each over-discharge in the energy storage system of the new energy equipment, x=1, 2, ... a , a The total number of historical over-discharges is denoted as , and the duration of over-discharge refers to the time from when the depth of discharge of the new energy equipment's energy storage system is less than 20% to when the depth of discharge is greater than 20%.

4. The data analysis-based early warning system for energy storage in new energy equipment according to claim 1, characterized in that: Extract the average discharge rate of each historical discharge from the historical operating data of the new energy equipment energy storage system. and discharge duration Calculate the historical discharge rate evaluation coefficient of the energy storage system of new energy equipment. : 。 5. The energy storage early warning system for new energy equipment based on data analysis according to claim 1, characterized in that: Obtain the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient Calculate the discharge weighting coefficient , and : in, This represents the average historical discharge temperature evaluation coefficient for all new energy equipment energy storage systems. This represents the average historical over-discharge evaluation coefficient of all new energy equipment energy storage systems. This represents the average historical discharge rate evaluation coefficient of all new energy equipment energy storage systems.

6. The early warning system for energy storage of new energy equipment based on data analysis according to claim 1, characterized in that: Obtain the historical discharge temperature evaluation coefficient Lw and the historical discharge over-discharge evaluation coefficient. Historical discharge rate evaluation coefficient and discharge weighting coefficient , and Calculate the historical discharge comprehensive evaluation coefficient Zp: When the historical discharge comprehensive evaluation coefficient Zp of the new energy equipment energy storage system exceeds When this occurs, it indicates that the discharge behavior of the new energy equipment's energy storage system is poor, and an early warning of the discharge behavior of the new energy equipment's energy storage system is issued externally; among which, This represents the average of the historical discharge comprehensive evaluation coefficients. This represents the variance of the historical discharge comprehensive evaluation coefficient.

7. The energy storage early warning system for new energy equipment based on data analysis according to claim 1, characterized in that: Based on the current and time data during the discharge process, the actual discharge capacity Q1 is calculated by integration: Where I(t) is a function of the discharge current as a function of time.

8. The data analysis-based early warning system for energy storage in new energy equipment according to claim 1, characterized in that: Obtain the actual discharge capacity Q1 and the rated capacity Q2 of the new energy equipment energy storage system, and calculate the actual discharge efficiency Dx: 。 9. The early warning system for energy storage of new energy equipment based on data analysis according to claim 1, characterized in that: Obtain the actual discharge efficiency Dx, assess the safety of the energy storage system for new energy equipment based on the actual discharge efficiency Dx, and select different energy storage safety early warning and handling strategies, specifically: when At that time, the feedback indicated that the current new energy equipment energy storage system has high security and no measures need to be taken; when When the system detects that the current safety of the new energy equipment's energy storage system is moderate, a secondary energy storage safety warning command is issued. when At that time, it will report that the current payment account has low security and issue a Level 1 energy storage security warning command.

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