Integrated energy storage battery cabinet and control method

Abstract

The present invention discloses an integrated energy storage battery cabinet and a control method, and relates to the field of energy storage batteries. The integrated energy storage battery cabinet and the control method obtain historical data and real-time data, calculate the high and low thresholds of charging and discharging efficiency, implement charging and discharging control, and monitor abnormal conditions in real time and trigger alarms. The historical charging and discharging efficiency values ​​are used to calculate the thresholds, and the real-time data is used to guide the charging and discharging operations. The charging efficiency and battery temperature are monitored during the charging process, and the discharge efficiency is monitored during the discharging process. Once an abnormal situation is detected, the system will immediately cut off the power supply and issue an alarm. The present invention calculates the high and low thresholds of charging efficiency and discharging efficiency through the comprehensive use of historical and real-time data, and compares them with real-time data, so as to monitor the abnormality of charging efficiency and discharging efficiency, and then can realize accurate control of battery performance, which helps to improve the service life of the battery, reduce energy loss, and reduce operating costs.

Description

Technical Field

[0001] The present invention relates to the field of energy storage batteries, and in particular to an integrated energy storage battery cabinet and a control method. Background Art

[0002] Energy storage battery cabinets are key components in the power system and renewable energy fields. They are designed to store electrical energy and release it when needed to meet peak periods of power demand or balance the instability of renewable energy in the power system. However, traditional energy storage battery cabinet systems lack advanced energy management capabilities and cannot fully optimize battery performance, resulting in inefficient storage and release of electrical energy, as well as adverse effects on battery life. At the same time, the lack of real-time monitoring mechanisms makes it difficult to identify abnormal battery status in a timely manner, which may lead to battery overheating, damage, and even safety risks. Energy waste is also a common problem. Due to the lack of intelligent control and monitoring, energy is often wasted, and the adaptability of traditional systems is limited, making it difficult to meet different power demands and environmental conditions.

[0003] In the prior art, traditional energy storage battery cabinets lack intelligent control and cannot dynamically adjust battery performance in real time, resulting in insufficient monitoring and failure to promptly identify abnormal battery status. At the same time, they are unable to adapt to different power demands and environmental conditions, limiting the versatility and flexibility of energy storage battery cabinets. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an integrated energy storage battery cabinet and a control method, which solves the problems that traditional energy storage battery cabinets lack intelligent control and cannot dynamically adjust battery performance in real time, resulting in insufficient monitoring and failure to timely identify abnormal battery status. At the same time, they cannot adapt to different power demands and environmental conditions, limiting the versatility and flexibility of the energy storage battery cabinet.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a control method for an integrated energy storage battery cabinet, comprising the following steps: obtaining historical data and real-time data, the historical data including: historical charging efficiency values, battery pack rated temperature values, historical discharge efficiency values, and the real-time data including: actual remaining power value, actual battery temperature value, actual charging efficiency value, and actual discharge efficiency value; calculating a high charging efficiency threshold and a low charging efficiency threshold based on the historical charging efficiency value; reading the actual remaining power value and comparing it with a set threshold, and if it is less than or equal to the set threshold, starting charging and energy storage; reading the high charging efficiency value and comparing it with a set threshold; and starting charging and energy storage by reading the high charging efficiency value. Threshold, low charging efficiency threshold, rated temperature value of the battery pack, real-time monitoring of the abnormalities of the actual value of the charging efficiency and the actual battery temperature value when charging and storing energy. If an abnormal situation occurs, the power supply will be cut off immediately and a warning will be issued; the high discharge efficiency threshold and the low discharge efficiency threshold are calculated based on the historical discharge efficiency value; when the power demand signal sent by the power consumption system is detected, the electric energy will be released and the released electric energy will be transmitted to the power consumption system; the high discharge efficiency threshold and the low discharge efficiency threshold are read, and the abnormalities of the actual discharge efficiency value when releasing the electric energy are monitored in real time. If an abnormal situation occurs, the power supply will be cut off immediately and a warning will be issued.

[0006] Furthermore, the specific steps for calculating the high charging efficiency threshold and the low charging efficiency threshold based on the historical charging efficiency values ​​are as follows: read the charging efficiency values ​​of each day and divide them into several calculation groups according to the same time; obtain the charging efficiency values ​​at each time point in each calculation group for comparison, and sort the charging efficiency values ​​at each time point in each calculation group from small to large, to obtain the maximum charging efficiency of each calculation group; read the maximum charging efficiency of each calculation group and calculate the high charging efficiency threshold; read several charging efficiency values ​​in each calculation group from small to large to calculate the low charging efficiency threshold.

[0007] Furthermore, the calculation formulas for the high charging efficiency threshold and the low charging efficiency threshold are as follows: ,in, is the high threshold of charging efficiency, For the The maximum charging efficiency in the calculation group is , To calculate the number of groups, is a natural constant; ,in, is the low threshold of charging efficiency, For the The first one in the calculation group sorted from small to large The charging efficiency value of , To calculate the number of groups, , To read the number of charging efficiency values, is a natural constant.

[0008] Furthermore, the high charging efficiency threshold, the low charging efficiency threshold, and the rated temperature value of the battery pack are read to monitor the abnormalities of the actual charging efficiency value and the actual battery temperature value during charging energy storage in real time, including: when the actual charging efficiency value is greater than the high charging efficiency threshold or less than the low discharging efficiency threshold, it is regarded as an abnormal situation; when the actual battery temperature value is greater than the rated temperature value of the battery pack, it is regarded as an abnormal situation.

[0009] Furthermore, the specific steps of calculating the high discharge efficiency threshold and the low discharge efficiency threshold based on the historical discharge efficiency values ​​are as follows: reading the discharge efficiency values ​​of each day and dividing them into several calculation groups according to the same time; reading the discharge efficiency values ​​at each time point in each calculation group, and calculating the median discharge efficiency of each calculation group, and calculating the median mean discharge efficiency based on the median discharge efficiency of each calculation group; comparing the discharge efficiency values ​​at each time point in each group to obtain the maximum discharge efficiency of each calculation group; reading the median discharge efficiency and the maximum discharge efficiency of each calculation group and calculating the high discharge efficiency threshold; assigning a weight value to each calculation group; screening out the maximum value, minimum value, and abnormal value in the discharge efficiency values ​​in each calculation group, and comparing the discharge efficiency values ​​at each time point in each calculation group based on the screened data to obtain the minimum discharge efficiency of each calculation group; reading the minimum discharge efficiency of each calculation group, and calculating the low discharge efficiency threshold.

[0010] Furthermore, the calculation formulas for the high discharge efficiency threshold and the low discharge efficiency threshold are as follows: ,in, is the high threshold of discharge efficiency, is the median mean of discharge efficiency, For the The maximum discharge efficiency in the calculation group is For the The median discharge efficiency in the calculation group is , To calculate the number of groups, is a natural constant; ,in, is the discharge efficiency low threshold, For the The minimum discharge efficiency in the calculation group is , To calculate the number of groups, For the The weight values ​​in the calculation group.

[0011] Furthermore, the calculation formula for the median discharge efficiency is as follows: ,in, For the The first The discharge efficiency value at a time point is , is the number of time points.

[0012] Furthermore, the calculation formula of the median mean of the discharge efficiency is as follows: .

[0013] Furthermore, the high discharge efficiency threshold and the low discharge efficiency threshold are read to monitor the abnormality of the actual value of the discharge efficiency when releasing electric energy in real time, including: when the actual value of the discharge efficiency is greater than the high discharge efficiency threshold or less than the low discharge efficiency threshold, it is regarded as an abnormal situation.

[0014] An integrated energy storage battery cabinet comprises: a cabinet body, and also comprises: a battery pack arranged inside the cabinet body for storing electric energy, a data collection module for obtaining historical data and real-time data is arranged on the outer side wall of the cabinet body, a charging controller for calculating a high charging efficiency threshold and a low charging efficiency threshold is arranged on the other side wall of the cabinet body, one end of the charging controller is connected to a solar photovoltaic panel arranged on the top of the cabinet body through a wire, the solar photovoltaic panel is used to generate direct current, and the direct current is stored in the battery pack through the charging controller; a discharge controller arranged on the other side wall of the cabinet body for calculating a high discharge efficiency threshold and a low discharge efficiency threshold, an inverter is arranged on the discharge controller, when a power demand signal sent by a power consumption system is detected, the inverter is controlled by the discharge controller to convert the direct current stored in the battery pack into alternating current, and the alternating current is transmitted to the power consumption system; a main controller arranged on the other side wall of the cabinet body and located at the bottom position, an abnormality monitor for monitoring abnormal charging efficiency, abnormal discharge efficiency and abnormal battery pack is arranged on the top of the main controller, and an alarm for warning when an abnormality occurs is also arranged on the top of the main controller.

[0015] The present invention has the following beneficial effects:

[0016] (1) The control method of the integrated energy storage battery cabinet can accurately calculate the high and low thresholds of charging efficiency and discharging efficiency through the comprehensive utilization of historical and real-time data, and compare the real-time data with the high and low thresholds of charging efficiency and discharging efficiency in real time, so as to monitor the abnormalities of charging efficiency and discharging efficiency, and then realize the precise control of battery performance, which helps to improve the service life of the battery, reduce energy loss and reduce operating costs.

[0017] (2) A control method for the integrated energy storage battery cabinet can intelligently monitor the battery status and charging efficiency, and decide when to charge and when to release electric energy according to actual needs. This makes energy management more efficient, and charging and discharging can better adapt to grid demand and energy market conditions.

[0018] (3) The control method of the integrated energy storage battery cabinet can identify abnormal battery temperature in the battery system earlier by monitoring the comparison between the actual battery temperature and the set threshold, which helps to prevent potential problems and improve the reliability and safety of the system.

[0019] (4) The integrated energy storage battery cabinet integrates solar photovoltaic panels, battery packs, charge and discharge controllers, data collection modules and abnormality monitors in one cabinet, so that it can not only store electrical energy, but also monitor and control the charging and discharging process, so as to provide users with a more convenient and complete energy storage solution.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of a control method for an integrated energy storage battery cabinet of the present invention.

[0022] Figure 2 The present invention is a flowchart of the specific steps for calculating a high charging efficiency threshold and a low charging efficiency threshold in a control method for an integrated energy storage battery cabinet.

[0023] Figure 3 The present invention is a flowchart of the specific steps for calculating a high discharge efficiency threshold and a low discharge efficiency threshold in a control method for an integrated energy storage battery cabinet.

[0024] Figure 4 This is a structural schematic diagram of an integrated energy storage battery cabinet of the present invention.

[0025] Figure 5 This is a schematic diagram of the side structure of an integrated energy storage battery cabinet of the present invention.

[0026] Figure 6 This is a schematic diagram of the cross-sectional structure of an integrated energy storage battery cabinet of the present invention.

[0027] In the figure: 1. Cabinet; 2. Battery pack; 3. Data collection module; 4. Charging controller; 5. Solar photovoltaic panel; 6. Discharge controller; 7. Inverter; 8. Main controller; 9. Abnormality monitor; 10. Alarm. DETAILED DESCRIPTION

[0028] The embodiment of the present application, through an integrated energy storage battery cabinet and a control method, solves the problem that traditional energy storage battery cabinets lack intelligent control and cannot dynamically adjust battery performance in real time, resulting in insufficient monitoring and failure to timely identify abnormal battery status. At the same time, they cannot adapt to different power demands and environmental conditions, which limits the versatility and flexibility of the energy storage battery cabinet.

[0029] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0030] By acquiring historical data and real-time data, calculating the high and low thresholds of charging and discharging efficiency, implementing charging and discharging control, and monitoring abnormal conditions in real time and triggering alarms, historical charging and discharging efficiency values ​​are used to calculate thresholds, and real-time data is used to guide charging and discharging operations. The charging efficiency and battery temperature are monitored during charging, and the discharge efficiency is monitored during discharging. Once an abnormal situation is detected, the system will immediately cut off the power supply and issue an alarm. The entire system includes a battery pack, a data collection module, a charging control module, a discharge control module, an abnormality monitoring module, and a total control module, which work together to ensure efficient, safe, and reliable operation of the battery.

[0031] See also Figure 1 The embodiment of the present invention provides a technical solution: a control method for an integrated energy storage battery cabinet, comprising the following steps: obtaining historical data and real-time data, the historical data including: historical charging efficiency value, battery pack rated temperature value, historical discharge efficiency value, and the real-time data including: actual remaining electric energy value, actual battery temperature value, actual charging efficiency value, and actual discharge efficiency value; calculating a high charging efficiency threshold and a low charging efficiency threshold based on the historical charging efficiency value; reading the actual remaining electric energy value and comparing it with a set threshold, and starting charging and energy storage if it is less than or equal to the set threshold; reading the high charging efficiency threshold, the low charging efficiency threshold, and the battery pack rated temperature value, and monitoring the abnormalities of the actual charging efficiency value and the actual battery temperature value when charging and energy storage in real time, and immediately cutting off the power supply and issuing a warning if an abnormality occurs; calculating the high discharge efficiency threshold and the low discharge efficiency threshold based on the historical discharge efficiency value; starting to release electric energy and transmitting the released electric energy to the electric energy system when a power demand signal issued by the power consumption system is detected; reading the high discharge efficiency threshold and the low discharge efficiency threshold, and monitoring the abnormalities of the actual discharge efficiency value when releasing electric energy in real time, and immediately cutting off the power supply and issuing a warning if an abnormality occurs.

[0032] Specifically, Figure 2 As shown, the specific steps for calculating the high charging efficiency threshold and the low charging efficiency threshold based on the historical charging efficiency values ​​are as follows: read the charging efficiency values ​​of each day and divide them into several calculation groups according to the same time; obtain the charging efficiency values ​​at each time point in each calculation group for comparison, and sort the charging efficiency values ​​at each time point in each calculation group from small to large, and obtain the maximum charging efficiency of each calculation group; read the maximum charging efficiency of each calculation group and calculate the high charging efficiency threshold; read several charging efficiency values ​​in each calculation group from small to large to calculate the low charging efficiency threshold.

[0033] In this implementation scheme, this step can achieve more intelligent battery charging management through the analysis of historical data and the setting of thresholds. By grouping the daily charging efficiency values ​​and calculating the thresholds, the system can better understand the changes in charging efficiency in different time periods. This allows the system to charge at the best time, reduce energy waste, and improve battery performance. Secondly, this step has refined control capabilities. Not only can the high threshold of charging efficiency be obtained, but also the low threshold can be obtained, so that the system can adjust the charging control strategy more flexibly, which helps the system adapt to different operating conditions and needs, thereby improving the operability and adaptability of the battery. By intelligently controlling the charging process, this step helps save energy costs. The setting of the high threshold of charging efficiency allows the system to start charging when the battery reaches the optimal charging state, while the setting of the low threshold can avoid overcharging or discharging of the battery, extend battery life, and reduce maintenance costs. This step is adaptive. It can automatically adjust the charging efficiency threshold according to the data of each calculation group to adapt to the actual changes in battery performance, which enables the system to maintain optimal performance without manual intervention.

[0034] Specifically, the calculation formulas for the high charging efficiency threshold and the low charging efficiency threshold are as follows: ,in, is the high threshold of charging efficiency, For the The maximum charging efficiency in the calculation group is , To calculate the number of groups, is a natural constant; ,in, is the low threshold of charging efficiency, For the The first one in the calculation group sorted from small to large The charging efficiency value of , To calculate the number of groups, , To read the number of charging efficiency values, is a natural constant.

[0035] In this implementation scheme, the calculation formula uses the mean method to calculate the high threshold and low threshold of the charging efficiency, which can more accurately reflect the overall trend of the system performance. By obtaining the daily charging efficiency values ​​and dividing them into different calculation groups, the system can more comprehensively consider the performance changes at different time points. This helps to more accurately determine the optimal high threshold so that charging can be performed when the battery performance is optimal. For the low threshold, the mean calculation method of multiple calculation groups can reduce the impact of a single abnormal data point and improve accuracy and stability. Secondly, the calculation formula provides the system with more data analysis tools. By analyzing and comparing the charging efficiency values ​​in each calculation group, the system can have a deeper understanding of the reasons for performance fluctuations and can flexibly adjust the threshold according to different situations. This data-driven method helps the system better adapt to complex working environments and battery status changes, improves the intelligence and adaptability of the system, and provides strong support for system optimization and performance improvement. Through accurate high and low thresholds, the system can more effectively control the charging process, reduce energy waste, extend battery life, and improve the efficiency and sustainability of the system.

[0036] Specifically, the high charging efficiency threshold, the low charging efficiency threshold, and the rated temperature value of the battery pack are read, and the abnormalities of the actual charging efficiency value and the actual battery temperature value during charging energy storage are monitored in real time, including: when the actual charging efficiency value is greater than the high charging efficiency threshold or less than the low discharging efficiency threshold, it is regarded as an abnormal situation; when the actual battery temperature value is greater than the rated temperature value of the battery pack, it is regarded as an abnormal situation.

[0037] In this embodiment, this real-time monitoring and abnormality detection method can greatly improve the safety of the system. Through the calculated high and low thresholds of charging efficiency, the system can quickly identify problems in the case of abnormal performance or overheating. Once the actual value of charging efficiency is found to exceed the high threshold or fall below the low threshold, the system can immediately cut off the power supply to prevent further damage to the battery or system, which helps to prevent potential safety risks and improve the reliability of the energy storage battery system. Secondly, this method helps to optimize the performance of the energy storage battery system. By real-time monitoring of charging efficiency and battery temperature, the system can dynamically adjust according to actual working conditions to improve the efficiency and performance of the system. When the actual value of charging efficiency is abnormal, the system can take timely measures, such as reducing charging power or changing charging strategies, to avoid energy waste. At the same time, when the battery temperature is abnormal, the system can take cooling measures to extend the battery life and improve performance. By timely detecting and processing abnormal conditions in charging efficiency and temperature, the system can reduce battery stress and loss and extend the battery life.

[0038] Specifically, Figure 3As shown, the specific steps of calculating the high discharge efficiency threshold and the low discharge efficiency threshold based on the historical discharge efficiency value are as follows: read the discharge efficiency value of each day and divide it into several calculation groups according to the same time; read the discharge efficiency value at each time point in each calculation group, and calculate the median discharge efficiency of each calculation group, and calculate the median mean discharge efficiency based on the median discharge efficiency of each calculation group; compare the discharge efficiency values ​​at each time point in each group to obtain the maximum discharge efficiency of each calculation group; read the median discharge efficiency and the maximum discharge efficiency of each calculation group and calculate the high discharge efficiency threshold; assign a weight value to each calculation group; screen out the maximum value, minimum value, and abnormal value in the discharge efficiency value of each calculation group, and compare the discharge efficiency values ​​at each time point in each calculation group based on the screened data to obtain the minimum discharge efficiency of each calculation group; read the minimum discharge efficiency of each calculation group, and calculate the low discharge efficiency threshold.

[0039] In this implementation scheme, this step provides more intelligent and dynamic performance management for the energy storage system by calculating the high and low thresholds of the discharge efficiency based on historical data. By calculating the thresholds according to the median and extreme values ​​of the discharge efficiency of each group in the historical data, the system can more accurately adapt to the discharge performance under different working conditions, which helps to optimize the performance of the energy storage system, improve the effective utilization of electric energy, reduce energy waste, and reduce operating costs. Secondly, this step can help the system to promptly detect abnormal conditions of the discharge efficiency. By real-time monitoring of the discharge efficiency and comparing it with the thresholds in the historical data, the system can quickly detect abnormal conditions such as a decrease or sudden increase in the discharge efficiency, which helps to reduce the risk of sudden system problems, take measures in advance to avoid further damage to the battery and the system, and improve the safety and reliability of the system. This step helps to extend the battery life and improve the sustainability of the system. By dynamically adjusting the discharge performance according to historical data, this step can reduce the stress and loss of the battery and extend its service life.

[0040] Specifically, the calculation formulas for the high discharge efficiency threshold and the low discharge efficiency threshold are as follows: ,in, is the high threshold of discharge efficiency, is the median mean of discharge efficiency, For the The maximum discharge efficiency in the calculation group is For the The median discharge efficiency in the calculation group is , To calculate the number of groups, is a natural constant; ,in, is the discharge efficiency low threshold, For the The minimum discharge efficiency in the calculation group is , To calculate the number of groups, For the The weight values ​​in the calculation group.

[0041] In this implementation scheme, the calculation formula calculates the median discharge efficiency of each calculation group by using the mean method, and then combines these median values ​​by the mean method to calculate the median mean of the discharge efficiency, which helps to more accurately reflect the efficiency change trend in different time periods and improves the accuracy of the system. Secondly, the method compares the maximum discharge efficiency of each calculation group with the median mean of the discharge efficiency to obtain the high threshold of the discharge efficiency, which ensures that the calculation of the high threshold is based on actual data and has more reference value. In addition, a weight value is assigned to each calculation group, and the weighted average method is used to calculate the low threshold of the discharge efficiency, which takes into account the impact of efficiency data in different time periods on system performance, helps to better cope with changing working conditions and demands, thereby enhancing the adaptability and intelligence of the system, and helps to more accurately determine the threshold, thereby improving the efficiency and performance of the energy storage system.

[0042] Specifically, the calculation formula for the median discharge efficiency is as follows: ,in, For the The first The discharge efficiency value at a time point is , is the number of time points.

[0043] In this implementation scheme, the calculation formula determines the intermediate value by considering the discharge efficiency values ​​at different time points. This method takes into account the efficiency performance under various operating conditions and provides a more comprehensive performance evaluation for the system, which means that not only can the performance of the system at a specific moment be understood, but also the overall performance trend can be captured. By real-time monitoring and comparing the median discharge efficiency, the system can more easily detect potential problems or performance degradation. Once performance abnormalities occur, immediate action can be taken to prevent failures in advance and reduce maintenance and repair costs. By continuously monitoring the median discharge efficiency, system operators can make performance improvements based on the changing trends of historical data. This information helps to optimize operating strategies to improve the overall efficiency of the system.

[0044] Specifically, the calculation formula of the median mean of discharge efficiency is as follows: .

[0045] In this implementation, the calculation formula provides a comprehensive evaluation of system performance by combining the median values ​​of the discharge efficiency of each calculation group. This allows the system to integrate performance data under different time periods and operating conditions to better understand the overall performance of the system. When the mean method is used to calculate the median mean of the discharge efficiency, the data of each group is integrated, thereby reducing the error that may be caused by fluctuations in a single value. This helps to reduce the uncertainty of data noise on performance evaluation. The calculation method of the median mean of the discharge efficiency enhances the stability and sustainability of system performance. It provides a more reliable measure of the overall trend of system performance and reduces the impact of fluctuations in performance data at different time points on system stability.

[0046] Specifically, the high discharge efficiency threshold and the low discharge efficiency threshold are read, and the abnormality of the actual value of the discharge efficiency when releasing electric energy is monitored in real time, including: when the actual value of the discharge efficiency is greater than the high discharge efficiency threshold or less than the low discharge efficiency threshold, it is regarded as an abnormal situation.

[0047] In this implementation scheme, real-time monitoring and setting of high discharge efficiency thresholds and low discharge efficiency thresholds help system operators identify potential problems early. When the actual value of the discharge efficiency deviates from the set threshold, the system can detect abnormal conditions in time and provide alarms so that emergency measures can be taken to avoid possible system failures and damages. This plays a key role in ensuring system reliability and stability. Through real-time monitoring and feedback, system operators can quickly identify changes in the system's discharge efficiency under different operating conditions, thereby formulating more effective operating strategies, which helps optimize system performance, improve discharge efficiency, reduce energy loss, and maximize the use of energy storage systems. This monitoring method provides a large amount of real-time and historical performance data, which helps system operators better understand the performance trends and behaviors of the system. These data can be used for long-term planning, capacity management, and decision support of the system, further improving the efficiency and operability of the system.

[0048] Historical charging efficiency values, battery pack rated temperature values, historical discharge efficiency values, actual remaining electric energy values, actual battery temperature values, actual charging efficiency values, and actual discharge efficiency values ​​can also be obtained through the big data computing platform. At the same time, the big data computing platform can also calculate the high charging efficiency threshold and the low charging efficiency threshold based on the historical charging efficiency values, and calculate the high discharge efficiency threshold and the low discharge efficiency threshold based on the historical discharge efficiency values. By collecting, storing and processing a large amount of historical and real-time data through the big data computing platform, key indicators of charging efficiency, discharge efficiency, and actual battery temperature values ​​can be analyzed and calculated, making data calculation more efficient and accurate, and thus facilitating the formulation of intelligent energy management strategies to optimize the charging and discharging process and achieve improved energy utilization efficiency and battery system performance.

[0049] See also Figure 4-6An integrated energy storage battery cabinet comprises: a cabinet 1, and also comprises: a battery pack 2 arranged inside the cabinet 1 for storing electric energy, a data collection module 3 for acquiring historical data and real-time data is arranged on the outer wall of the cabinet 1, a charging controller 4 for calculating a high charging efficiency threshold and a low charging efficiency threshold is arranged on the other side wall of the cabinet 1, one end of which is connected to a solar photovoltaic panel 5 arranged on the top of the cabinet 1 through a wire, the solar photovoltaic panel 5 is used to generate direct current, and the direct current is stored in the battery pack 2 through the charging controller 4; a charging controller 4 for calculating a high charging efficiency threshold and a low charging efficiency threshold is arranged on the other side wall of the cabinet 1 A discharge controller 6 with a high threshold value for electric efficiency and a low threshold value for discharge efficiency is provided with an inverter 7. When a power demand signal from a power consumption system is detected, the inverter 7 is controlled by the discharge controller 6 to convert the direct current stored in the battery pack 2 into alternating current, and the alternating current is transmitted to the power consumption system. A main controller 8 is provided on the other side wall of the cabinet 1 and at the bottom, and an abnormality monitor 9 for monitoring abnormal charging efficiency, abnormal discharge efficiency and abnormal battery pack 2 is provided on the top of the main controller 8. An alarm 10 is also provided on the top of the main controller 8 for warning when an abnormality occurs.

[0050] In summary, this application has at least the following effects:

[0051] Through the comprehensive use of historical and real-time data, the high and low thresholds of charging efficiency and discharging efficiency can be accurately calculated, and the real-time data can be compared with the high and low thresholds of charging efficiency and discharging efficiency in real time, so as to monitor the abnormalities of charging efficiency and discharging efficiency, and then achieve precise control of battery performance, which helps to improve the battery life, reduce energy loss and reduce operating costs.

[0052] This method can intelligently monitor the battery status and charging efficiency, and decide when to charge and when to release electricity based on actual needs. This makes energy management more efficient and charging and discharging can better adapt to grid demand and energy market conditions.

[0053] By monitoring the actual battery temperature and comparing it with the set threshold, abnormal battery temperature in the battery system can be identified earlier, which helps prevent potential problems and improves system reliability and safety.

[0054] The cabinet integrates components such as solar photovoltaic panels, battery packs, charge and discharge controllers, data collection modules and abnormality monitors into one cabinet, so that it can not only store electrical energy but also monitor and control the charging and discharging process, so as to provide users with a more convenient and complete energy storage solution.

[0055] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0056] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A control method for an integrated energy storage battery cabinet, characterized in that: The following steps are involved: Obtain historical data and real-time data. Historical data includes: historical charging efficiency value, battery pack rated temperature value, historical discharge efficiency value. Real-time data includes: actual remaining power value, actual battery temperature value, actual charging efficiency value, and actual discharge efficiency value. Calculate the high charging efficiency threshold and the low charging efficiency threshold based on the historical charging efficiency values; Read the actual remaining power value and compare it with the set threshold. If it is less than or equal to the set threshold, start charging and energy storage; Read the high charging efficiency threshold, low charging efficiency threshold, and rated temperature of the battery pack, and monitor the abnormalities of the actual charging efficiency and actual battery temperature in real time during charging and energy storage. If an abnormality occurs, the power supply will be cut off immediately and an alarm will be issued; Calculate a high discharge efficiency threshold and a low discharge efficiency threshold based on historical discharge efficiency values; When a power demand signal from a power consumption system is detected, the power consumption system starts to release electric energy and transmits the released electric energy to the power consumption system; Read the high and low thresholds of discharge efficiency, and monitor the abnormality of the actual value of discharge efficiency when releasing electric energy in real time. If an abnormality occurs, the power supply will be cut off immediately and an alarm will be issued; The specific steps for calculating the high charging efficiency threshold and the low charging efficiency threshold based on the historical charging efficiency values ​​are as follows: Read the charging efficiency values ​​of each day and divide them into several calculation groups according to the same time; Obtain the charging efficiency values ​​at each time point in each calculation group for comparison, and sort the charging efficiency values ​​at each time point in each calculation group in ascending order to obtain the maximum charging efficiency of each calculation group; Read the maximum value of charging efficiency of each calculation group and calculate the high threshold of charging efficiency; In each calculation group, a number of charging efficiency values ​​are read in order from small to large to calculate a low charging efficiency threshold; The calculation formulas for the high charging efficiency threshold and the low charging efficiency threshold are as follows: in, is the high threshold of charging efficiency, For the The maximum charging efficiency in the calculation group is , To calculate the number of groups, is a natural constant; in, is the low threshold of charging efficiency, For the The first one in the calculation group sorted from small to large The charging efficiency value of , To calculate the number of groups, , To read the number of charging efficiency values, is a natural constant; The specific steps for calculating the high discharge efficiency threshold and the low discharge efficiency threshold based on the historical discharge efficiency values ​​are as follows: Read the daily discharge efficiency values ​​and divide them into several calculation groups according to the same time; Read the discharge efficiency value at each time point in each calculation group, calculate the median value of the discharge efficiency of each calculation group, and calculate the median mean value of the discharge efficiency based on the median value of the discharge efficiency of each calculation group; Compare the discharge efficiency values ​​at each time point in each group to obtain the maximum discharge efficiency of each calculation group; Read the median value of the discharge efficiency and the maximum value of the discharge efficiency of each calculation group and calculate the high threshold value of the discharge efficiency; Assign a weight value to each calculation group; The maximum value, the minimum value, and the abnormal value in the discharge efficiency value of each calculation group are screened out, and the discharge efficiency values ​​at each time point in each calculation group are compared based on the screened out data to obtain the minimum discharge efficiency value of each calculation group; Read the minimum discharge efficiency of each calculation group and calculate the low discharge efficiency threshold; The calculation formulas for the high discharge efficiency threshold and the low discharge efficiency threshold are as follows: in, is the high threshold of discharge efficiency, is the median mean of discharge efficiency, For the The maximum discharge efficiency in the calculation group is For the The median discharge efficiency in the calculation group is , To calculate the number of groups, is a natural constant; in, is the discharge efficiency low threshold, For the The minimum discharge efficiency in the calculation group is , To calculate the number of groups, For the The weight values ​​in the calculation group.

2. The control method of an integrated energy storage battery cabinet according to claim 1, characterized in that: Read the high charging efficiency threshold, low charging efficiency threshold, and rated temperature value of the battery pack, and monitor the abnormalities of the actual charging efficiency value and the actual battery temperature value during charging and energy storage in real time, including: when the actual charging efficiency value is greater than the high charging efficiency threshold or less than the low discharging efficiency threshold, it is considered an abnormal situation; when the actual battery temperature value is greater than the rated temperature value of the battery pack, it is considered an abnormal situation.

3. The control method of an integrated energy storage battery cabinet according to claim 1, characterized in that: The calculation formula for the median discharge efficiency is as follows: in, For the The first The discharge efficiency value at a time point is , is the number of time points.

4. The control method of an integrated energy storage battery cabinet according to claim 1, characterized in that: The calculation formula of the median mean of discharge efficiency is as follows: 。 5. The control method of an integrated energy storage battery cabinet according to claim 1, characterized in that: The high discharge efficiency threshold and the low discharge efficiency threshold are read to monitor in real time the abnormality of the actual discharge efficiency value when releasing electric energy, including: when the actual discharge efficiency value is greater than the high discharge efficiency threshold or less than the low discharge efficiency threshold, it is regarded as an abnormal situation.

6. An integrated energy storage battery cabinet using the control method of the integrated energy storage battery cabinet according to any one of claims 1 to 5, comprising: The cabinet (1) is characterized in that it further comprises: A battery pack (2) for storing electric energy is arranged inside the cabinet (1); a data collection module (3) for acquiring historical data and real-time data is arranged on the outer side wall of the cabinet (1); a charging controller (4) for calculating a high charging efficiency threshold and a low charging efficiency threshold is arranged on the other side wall of the cabinet (1); one end of the charging controller (4) is connected to a solar photovoltaic panel (5) arranged on the top of the cabinet (1) via a wire; the solar photovoltaic panel (5) is used to generate direct current, and the direct current is stored in the battery pack (2) via the charging controller (4); A discharge controller (6) is arranged on the other side wall of the cabinet (1) for calculating a high discharge efficiency threshold and a low discharge efficiency threshold, and an inverter (7) is arranged on the discharge controller. When a power demand signal sent by the power consumption system is detected, the discharge controller (6) controls the inverter (7) to convert the direct current stored in the battery pack (2) into alternating current, and transmits the alternating current to the power consumption system; A main controller (8) is arranged on the other side wall of the cabinet (1) and at the bottom, and an abnormality monitor (9) for monitoring abnormal charging efficiency, abnormal discharging efficiency, and abnormal battery pack (2) is arranged on the top of the main controller (8). An alarm (10) for issuing a warning when an abnormality occurs is also arranged on the top of the main controller (8).

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