Energy storage power station with battery safety detection function

Abstract

The utility model discloses an energy storage power station with a battery safety detection function. The energy storage power station mainly comprises a control system module, and a network communication module, a battery management module, a safety maintenance module, an environment monitoring module, an energy storage equipment module, an electric power conversion module and an electric power transmission module which are connected with the control system module, wherein the energy storage equipment module, the power conversion module and the power transmission module are connected in sequence. Wherein the battery management module adopts a digital twinning technology to monitor the safety of a battery, so that comprehensive monitoring, prediction and optimization of an actual energy storage power station system are realized, the performance and reliability of the system are improved, and the operation cost is reduced; meanwhile, when a fault is about to occur or already occurs, the robot is used for automatically finding a fault point, and the adopted thermal imaging robot can calculate the actual position of the fault point according to the pixel coordinate, the shooting height and the distance of the fault point in an image, so that the fault occurrence point can be quickly monitored and predicted; and the monitoring effect on the safety of the battery is greatly improved.

Description

Technical Field

[0001] The utility model belongs to the technical field of energy storage power stations, and in particular relates to an energy storage power station with a battery safety detection function. Background Art

[0002] An energy storage station is a facility that can convert electrical energy into other forms of energy and convert it back into electrical energy when needed. It can store excess electrical energy when electricity demand is low to meet energy demand during peak electricity demand. The main purpose of an energy storage station is to solve the problem of intermittent power generation from renewable energy sources. Renewable energy sources such as solar and wind energy cannot continuously generate electricity in bad weather conditions or at night, and energy storage stations can convert these energies into electricity and store them to supply the power system when needed.

[0003] The existing technology can only provide simple alarm signals, lacks accurate fault diagnosis and analysis capabilities, and has certain limitations in fault diagnosis. It is impossible to accurately diagnose internal battery faults or abnormal conditions, and the standards and specifications for battery safety monitoring modules are not yet perfect. Moreover, the monitoring methods, parameters and algorithms used by different manufacturers and systems may differ, and there is a lack of unified standards and specifications, which brings certain challenges to system integration and operation and maintenance. Summary of the invention

[0004] The technical problem to be solved by the utility model is to provide an energy storage power station with a battery safety detection function, which overcomes the defects of the prior art that the prior art lacks accurate fault diagnosis and analysis capabilities and the standards and specifications for battery safety monitoring modules are not yet perfect.

[0005] In order to solve the above technical problems, the utility model adopts the following technical solutions:

[0006] The energy storage power station with battery safety detection function is mainly composed of a control system module and a network communication module connected thereto, a battery management module, a safety maintenance module, an environmental monitoring module, an energy storage device module, a power conversion module, and a power transmission module; among which, the energy storage device module, the power conversion module, and the power transmission module are connected in sequence.

[0007] The battery management module is composed of a parameter monitoring unit, a state prediction unit, a balancing management unit, a charge and discharge control unit, a fault diagnosis unit, and a data recording unit which are connected in sequence; wherein the parameter monitoring unit is also connected to a data sharing unit and a fusion analysis unit at the same time, and the state prediction unit is also connected to an intelligent prediction unit at the same time.

[0008] The parameter monitoring unit monitors the battery pack parameters in real time through sensors and transmits the data to the control system module; the state prediction unit estimates the battery state using the battery pack parameter monitoring data; the balancing management unit controls the battery balancer to balance the charging and discharging of the battery; the charge and discharge control unit controls the charging and discharging of the battery pack; the fault diagnosis unit identifies the fault or abnormality of the battery pack by monitoring the state and parameters of the battery pack and takes corresponding protective measures; the data recording unit records the monitoring data of the battery pack and transmits the data to the monitoring system through the network communication module.

[0009] The fusion analysis unit is composed of a data acquisition unit, a data fusion unit, a preprocessing unit, a feature extraction unit, a data analysis unit, and a result output unit which are connected in sequence.

[0010] The data acquisition unit monitors various parameters inside the battery in real time through sensors; the data fusion unit fuses the data collected by different sensors; the preprocessing unit preprocesses the fused data; the feature extraction unit extracts useful features from the preprocessed data; the data analysis unit determines the battery status and fault conditions by comparing and analyzing the relationship and trend between different features; the result output unit outputs the battery status and fault diagnosis results based on the results of the data analysis.

[0011] The intelligent prediction unit is composed of a model building unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit which are connected in sequence.

[0012] The model building unit builds a digital twin model of the battery based on the fused data; the intelligent analysis unit predicts the battery status and fault conditions by analyzing and simulating the digital twin model; the fault detection unit determines whether the battery has a fault and determines the location of the fault point based on the analysis results of the digital twin model; the intelligent diagnosis unit performs fault diagnosis and analysis based on the location and characteristics of the fault point.

[0013] The intelligent positioning unit is composed of a robot deployment unit, a data acquisition processing unit, an anomaly detection unit, and a fault calculation unit which are connected in sequence.

[0014] The robot deployment unit uses a thermal imaging robot to be placed in the area that needs to be monitored for inspection; the data acquisition and processing unit processes and analyzes the collected thermal image data; the anomaly detection unit determines whether there is an abnormality in the target area based on the processed thermal image data; the fault calculation unit calculates the position of the fault point in the camera coordinate system based on the position of the fault point in the camera field of view and the shooting height.

[0015] In view of the problems existing in the battery detection of energy storage power stations, the inventor has designed an energy storage power station with battery safety detection function, which is mainly composed of a control system module and a network communication module connected thereto, a battery management module, a safety maintenance module, an environmental monitoring module, an energy storage device module, a power conversion module, and a power transmission module; wherein the energy storage device module, the power conversion module, and the power transmission module are connected in sequence. Among them, the battery management module uses digital twin technology to monitor battery safety, realizes comprehensive monitoring, prediction and optimization of the actual energy storage power station system, improves the performance and reliability of the system, and reduces operating costs; at the same time, a robot is used to automatically find the fault point when a fault is about to occur or has occurred, and the thermal imaging robot used can calculate the actual position of the fault point according to the pixel coordinates, shooting height and distance of the fault point in the image, so that the fault point can be quickly monitored and predicted, which greatly improves the monitoring effect of battery safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural schematic diagram of the energy storage power station with battery safety detection function of the utility model.

[0017] Figure 2 It is a schematic diagram of the overall system flow in the energy storage power station of the utility model.

[0018] Figure 3 It is a system flow diagram of the battery management module in the energy storage power station of the utility model.

[0019] Figure 4 It is a schematic diagram of the system flow of the fusion analysis unit in the energy storage power station of the utility model.

[0020] Figure 5 It is a schematic diagram of the system flow of the intelligent prediction unit in the energy storage power station of the utility model.

[0021] Figure 6 It is a schematic diagram of the system flow of the intelligent positioning unit in the energy storage power station of the utility model.

[0022] In the figure: 1. Energy storage device module; 2. Battery management module; 3. Power conversion module; 4. Control system module; 5. Network communication module; 6. Power transmission module; 7. Environmental monitoring module; 8. Safety maintenance module; 9. Parameter monitoring unit; 10. State prediction unit; 11. Balance management unit; 12. Charge and discharge control unit; 13. Fault diagnosis unit; 14. Data recording unit; 15. Data sharing unit; 16. Fusion analysis unit; 17. Intelligent prediction unit; 1601. Data acquisition collection unit; 1602, data fusion unit; 1603, preprocessing unit; 1604, feature extraction unit; 1605, data analysis unit; 1606, result output unit; 1701, model building unit; 1702, intelligent analysis unit; 1703, fault detection unit; 1704, intelligent diagnosis unit; 1705, intelligent positioning unit; 1706, robot deployment unit; 1707, data acquisition processing unit; 1708, anomaly detection unit; 1709, fault calculation unit. DETAILED DESCRIPTION

[0023] 1. Basic structure and function

[0024] like Figure 1 and Figure 2 As shown, the energy storage power station with battery safety detection function of the utility model mainly consists of a control system module and a network communication module connected thereto, a battery management module, a safety maintenance module, an environmental monitoring module, an energy storage device module, a power conversion module, and a power transmission module; wherein the energy storage device module, the power conversion module, and the power transmission module are connected in sequence. Each module is connected and operated through pipelines, cables, and a control system.

[0025] like Figure 3 As shown, the battery management module is composed of a parameter monitoring unit, a state prediction unit, a balancing management unit, a charge and discharge control unit, a fault diagnosis unit, and a data recording unit which are connected in sequence; wherein the parameter monitoring unit is also connected to a data sharing unit and a fusion analysis unit at the same time, and the state prediction unit is also connected to an intelligent prediction unit at the same time.

[0026] The parameter monitoring unit first monitors the voltage, current and temperature parameters of the battery pack in real time through sensors, and transmits the data to the control system module; the state prediction unit then uses the battery pack parameter monitoring data to estimate the battery status through an algorithm, including the battery capacity and remaining life; the balancing management unit then controls the battery balancer to balance the battery charging and discharging according to the voltage and capacity differences of each battery cell in the battery pack to ensure the voltage and capacity balance between each battery cell; the charge and discharge control unit controls the charging and discharging of the battery pack by controlling the inverter and battery charge and discharge system according to the needs of the energy storage power station and the status of the battery pack; the fault diagnosis unit identifies the fault or abnormality of the battery pack by monitoring the status and parameters of the battery pack, and takes corresponding protection measures, such as power off and alarm, to prevent further damage to the battery pack; the data recording unit records the monitoring data of the battery pack and transmits the data to the monitoring system through the network communication module for data analysis, management and remote monitoring.

[0027] like Figure 4 As shown, the fusion analysis unit is composed of a data acquisition unit, a data fusion unit, a preprocessing unit, a feature extraction unit, a data analysis unit, and a result output unit which are connected in sequence.

[0028] The data acquisition unit first monitors the various parameters inside the battery in real time through high-precision sensors; the data fusion unit then fuses the data collected by different sensors, and can align and match the data through timestamps or other methods); the preprocessing unit preprocesses the fused data, including data cleaning, denoising and completion; the feature extraction unit then extracts useful features from the preprocessed data; the data analysis unit determines the battery status and fault conditions by comparing and analyzing the relationship and trends between different features; the result output unit can finally output the battery status and fault diagnosis results based on the results of the data analysis.

[0029] like Figure 5 As shown, the intelligent prediction unit is composed of a model building unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit which are connected in sequence.

[0030] The model building unit builds a digital twin model of the battery based on the fused data. The intelligent prediction unit adopts digital twin technology, which specifically combines the actual physical system with its digital model, by combining the data collection, model building, simulation and analysis processes of the actual physical system with the real-time updating and optimization of the digital model; the intelligent analysis unit predicts the status and fault conditions of the battery by analyzing and simulating the digital twin model; the fault detection unit determines whether the battery has a fault and determines the location of the fault point based on the analysis results of the digital twin model; the intelligent diagnosis unit performs fault diagnosis and analysis according to the location and characteristics of the fault point.

[0031] like Figure 6 As shown, the intelligent positioning unit is composed of a robot deployment unit, a data acquisition processing unit, an anomaly detection unit, and a fault calculation unit which are connected in sequence.

[0032] The robot deployment unit uses a thermal imaging robot, including a robot chassis, a thermal imager, an image processing and computer vision algorithm, a control system, and a user interface, and places the thermal imaging robot in the area that needs to be monitored; a predetermined path or automatic navigation function can be used to allow the robot to conduct inspections along a set trajectory; the data acquisition processing unit (in the data center) processes and analyzes the collected thermal image data; the anomaly detection unit determines whether there is an abnormality in the target area based on the processed thermal image data; the fault calculation unit can calculate the position of the fault point in the camera coordinate system according to the position of the fault point in the camera field of view and the shooting height during the specific calculation process (: camera_x = point_x*(d / sqrt(point_x 2+point_y 2+1))camera_y=point_y*(d / sqrt(point_x 2+point_y 2+1))camera_z=d*(1 / sqrt(point_x 2+point_y 2+1)) where the pixel coordinates of the fault point in the image are (x, y), the shooting height is h, and the distance is d.

[0033] 2. Working Principle

[0034] During the operation of the energy storage power station of the utility model, when the power grid or other power sources provide electric energy, the energy storage device can convert the electric energy into other forms of energy for storage. The charging process is usually controlled and managed by components such as a charging controller and a battery management system to ensure the safety and performance of the charging process. When the power grid or other loads require electric energy, the energy storage device can convert the stored energy into electric energy for output. The discharge process is usually controlled and managed by components such as a discharge controller and an inverter to ensure the safety and performance of the discharge process. During the charging and discharging process of the energy storage device, its operating status can be monitored and managed in real time through a monitoring and management system. The monitoring and management system can collect various data of the energy storage power station, such as battery voltage, current, temperature, etc., perform data processing and analysis, provide decision support and operation optimization, and finally perform regular maintenance and maintenance on the energy storage power station to ensure the safety and performance of the equipment.

[0035] In summary, the utility model can realize the functions of data collection, data processing, data analysis and decision support by forming an energy storage power station with battery safety detection function through energy storage equipment, inverter, charge and discharge control system and monitoring and management system, so as to facilitate comprehensive monitoring and optimization of the energy storage power station.

Claims

1. An energy storage power station with battery safety detection function, characterized in that It is mainly composed of a control system module and a network communication module connected thereto, a battery management module, a safety maintenance module, an environmental monitoring module, an energy storage device module, a power conversion module, and a power transmission module; wherein the energy storage device module, the power conversion module, and the power transmission module are connected in sequence; the battery management module is composed of a parameter monitoring unit, a state prediction unit, a balancing management unit, a charge and discharge control unit, a fault diagnosis unit, and a data recording unit connected in sequence; wherein the parameter monitoring unit is also connected to a data sharing unit and a fusion analysis unit at the same time, and the state prediction unit is also connected to an intelligent prediction unit at the same time; The parameter monitoring unit monitors the battery pack parameters in real time through sensors and transmits the data to the control system module; the state prediction unit estimates the battery state using the battery pack parameter monitoring data; the balancing management unit controls the battery balancer to balance the charging and discharging of the battery; the charge and discharge control unit controls the charging and discharging of the battery pack; the fault diagnosis unit identifies the fault or abnormality of the battery pack by monitoring the state and parameters of the battery pack and takes corresponding protective measures; the data recording unit records the monitoring data of the battery pack and transmits the data to the monitoring system through the network communication module.

2. The energy storage power station according to claim 1, characterized in that; The fusion analysis unit is composed of a data acquisition unit, a data fusion unit, a preprocessing unit, a feature extraction unit, a data analysis unit, and a result output unit which are connected in sequence.

3. The energy storage power station according to claim 2, characterized in that; The data acquisition unit monitors various parameters inside the battery in real time through sensors; the data fusion unit fuses the data collected by different sensors; the preprocessing unit preprocesses the fused data; the feature extraction unit extracts useful features from the preprocessed data; the data analysis unit determines the battery status and fault conditions by comparing and analyzing the relationship and trend between different features; the result output unit outputs the battery status and fault diagnosis results according to the results of the data analysis.

4. The energy storage power station according to claim 3, characterized in that; The intelligent prediction unit is composed of a model building unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit which are connected in sequence.

5. The energy storage power station according to claim 4, characterized in that; The model building unit builds a digital twin model of the battery based on the fused data; the intelligent analysis unit predicts the status and fault conditions of the battery by analyzing and simulating the digital twin model; the fault detection unit determines whether the battery has a fault and determines the location of the fault point based on the analysis results of the digital twin model; the intelligent diagnosis unit performs fault diagnosis and analysis according to the location and characteristics of the fault point.

6. The energy storage power station according to claim 5, characterized in that; The intelligent positioning unit is composed of a robot deployment unit, a data acquisition processing unit, an anomaly detection unit, and a fault calculation unit which are connected in sequence.

7. The energy storage power station according to claim 6, characterized in that; The robot deployment unit uses a thermal imaging robot to be placed in an area that needs to be monitored for inspection; the data acquisition processing unit processes and analyzes the collected thermal image data; the anomaly detection unit determines whether there is an abnormality in the target area based on the processed thermal image data; The fault calculation unit calculates the position of the fault point in the camera coordinate system according to the position of the fault point in the camera field of view and the shooting height.

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