Energy storage power station with battery safety detection function

Abstract

The invention discloses an energy storage power station with a battery safety detection function. The energy storage power station is mainly composed of a control system module, a network communication module, a battery management module, a safety maintenance module, an environment monitoring module, an energy storage equipment module, a power conversion module and a power transmission 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 present invention belongs to the technical field of energy storage power stations, and particularly relates to an energy storage power station with a battery safety detection function. Background Art

[0002] An energy storage power 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 the power demand is low to meet the energy demand during peak power demand. The main purpose of the energy storage power station is to solve the problem of intermittent power generation of renewable energy sources. Renewable energy sources such as solar energy and wind energy cannot continuously generate electrical energy under poor weather conditions or at night, while the energy storage power station can convert these energies into electrical energy and store them for use by the power system when needed.

[0003] In the prior art, often only simple warning signals can be provided, lacking accurate fault diagnosis and analysis capabilities, and there are still certain limitations in fault diagnosis. Faults or abnormal conditions inside the battery cannot be accurately diagnosed, and the standards and specifications for the battery safety monitoring module are not yet perfect. Moreover, the monitoring methods, parameters, and algorithms adopted by different manufacturers and systems may vary, lacking 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 present invention is to provide an energy storage power station with a battery safety detection function, which overcomes the defects of the prior art lacking accurate fault diagnosis and analysis capabilities and the imperfect standards and specifications for the battery safety monitoring module.

[0005] To solve the above technical problem, the present invention adopts the following technical solutions:

[0006] An energy storage power station with a battery safety detection function mainly consists of a control system module and a network communication module, 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 connected thereto; among them, 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, an equalization management unit, a charge and discharge control unit, a fault diagnosis unit, and a data recording unit connected in sequence; among them, 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 state of the battery using the battery pack parameter monitoring data; the equalization management unit controls the battery equalizer to perform equalized charge and discharge on the battery; the charge and discharge control unit controls the charge and discharge of the battery pack; the fault diagnosis unit monitors the state and parameters of the battery pack, identifies faults or abnormal conditions of the battery pack, and takes corresponding protection 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 consists 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 connected in sequence.

[0010] The data acquisition unit monitors the internal parameters of 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 judges the state and fault conditions of the battery by comparing and analyzing the relationships and trends between different features; the result output unit outputs the state and fault diagnosis results of the battery according to the results of the data analysis.

[0011] The intelligent prediction unit consists of a model establishment unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit connected in sequence.

[0012] The model establishment unit establishes a digital twin model of the battery based on the fused data; the intelligent analysis unit predicts the state and fault conditions of the battery by analyzing and simulating the digital twin model; the fault detection unit judges whether the battery has faults 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.

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

[0014] The robot deployment unit uses a thermal imaging robot to conduct inspections in the area to be monitored; the data acquisition and processing unit processes and analyzes the collected thermal image data; the anomaly detection unit judges whether there are abnormal conditions in the target area according to 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.

[0015] In view of the problems existing in the current battery detection of energy storage power stations, the inventor has designed an energy storage power station with a battery safety detection function, which mainly consists of a control system module and a network communication module, 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 connected thereto; among them, 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 the operating cost; at the same time, when a fault is about to occur or has occurred, a robot is used to automatically detect the fault point, and the thermal imaging robot adopted 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 occurrence point can be quickly monitored and predicted, greatly improving the monitoring effect of battery safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 FIG. is a schematic structural diagram of the energy storage power station with a battery safety detection function of the present invention.

[0017] Figure 2 FIG. is a schematic diagram of the overall system flow in the energy storage power station of the present invention.

[0018] Figure 3 FIG. is a schematic diagram of the system flow of the battery management module in the energy storage power station of the present invention.

[0019] Figure 4 FIG. is a schematic diagram of the system flow of the fusion analysis unit in the energy storage power station of the present invention.

[0020] Figure 5 FIG. is a schematic diagram of the system flow of the intelligent prediction unit in the energy storage power station of the present invention.

[0021] Figure 6 FIG. is a schematic diagram of the system flow of the intelligent positioning unit in the energy storage power station of the present invention.

[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. Environment monitoring module; 8. Safety maintenance module; 9. Parameter monitoring unit; 10. State prediction unit; 11. Balancing 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 unit; 1602. Data fusion unit; 1603. Preprocessing unit; 1604. Feature extraction unit; 1605. Data analysis unit; 1606. Result output unit; 1701. Model establishment unit; 1702. Intelligent analysis unit; 1703. Fault detection unit; 1704. Intelligent diagnosis unit; 1705. Intelligent positioning unit; 1706. Robot deployment unit; 1707. Data acquisition and processing unit; 1708. Anomaly detection unit; 1709. Fault calculation unit. Detailed implementation manners

[0023] I. Basic structure and functions

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

[0025] As Figure 3 shown, the battery management module consists 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.

[0026] The parameter monitoring unit first monitors parameters such as the voltage, current, and temperature 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 state of the battery through algorithms, including the battery capacity and remaining life; the equalization management unit then controls the battery equalizer to perform equalized charge and discharge on the battery according to the voltage and capacity differences of each battery cell in the battery pack to ensure voltage and capacity balance among the battery cells; the charge and discharge control unit controls the charge and discharge of the battery pack by controlling the inverter and the battery charge and discharge system according to the requirements of the energy storage power station and the state of the battery pack; the fault diagnosis unit identifies faults or abnormal conditions of the battery pack by monitoring the state 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] As Figure 4 shown, the fusion analysis unit consists 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 connected in sequence.

[0028] The data acquisition unit first monitors 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 means; 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 judges the state and fault conditions of the battery by comparing and analyzing the relationships and trends between different features; the result output unit finally outputs the state and fault diagnosis results of the battery according to the results of the data analysis.

[0029] As Figure 5 shown, the intelligent prediction unit consists of a model establishment unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit connected in sequence.

[0030] The model establishment unit establishes a digital twin model of the battery based on the fused data. The intelligent prediction unit adopts digital twin technology, which is a technology that specifically combines the actual physical system with its digital model by integrating the data acquisition, model establishment, simulation, and analysis processes of the actual physical system with the real-time update and optimization of the digital model. The intelligent analysis unit predicts the state 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 locates the position 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 position and characteristics of the fault point.

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

[0032] The robot deployment unit uses a thermal imaging robot, which includes a robot chassis, a thermal imager, image processing and computer vision algorithms, a control system, and a user interface. The thermal imaging robot is placed in the area to be monitored. It can use a predefined path or an automatic navigation function to let the robot perform inspections according to the set trajectory. The data acquisition and processing unit (in the data center) processes and analyzes the collected thermal image data. The anomaly detection unit determines whether there are abnormal conditions in the target area based on the processed thermal image data. In the specific calculation process, 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 (: 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] II. Working Principle

[0034] During the operation of the energy storage power station of the present invention, when the power grid or other power sources supply 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 discharging process is usually controlled and managed by components such as a discharging controller and an inverter to ensure the safety and performance of the discharging process. During the charging and discharging process of the energy storage device, its operating state 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., conduct data processing and analysis, provide decision-making support and operation optimization, and finally conduct regular maintenance and servicing on the energy storage power station to ensure the safety and performance of the equipment.

[0035] In summary, the energy storage power station with a battery safety detection function composed of an energy storage device, an inverter, a charge and discharge control system, and a monitoring and management system according to the present invention can realize the functions of data collection, data processing, data analysis, and decision-making support, facilitating the comprehensive monitoring and optimization of the energy storage power station.

Claims

1. An energy storage power station with a battery safety detection function, characterized in that It is mainly composed of a control system module and a network communication module, 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 connected thereto; among them, the energy storage device module, the power conversion module, and the power transmission module are connected in sequence.

2. The energy storage power station according to claim 1, wherein; The battery management module is composed of a parameter monitoring unit, a state prediction unit, an equalization management unit, a charge and discharge control unit, a fault diagnosis unit, and a data recording unit connected in sequence; among them, 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.

3. The energy storage power station according to claim 2, wherein; 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 state of the battery using the battery pack parameter monitoring data; the equalization management unit controls the battery equalizer to perform equalized charge and discharge on the battery; the charge and discharge control unit controls the charge and discharge of the battery pack; the fault diagnosis unit identifies faults or abnormal conditions of the battery pack by monitoring the state and parameters of the battery pack and takes corresponding protection 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.

4. The energy storage power station according to claim 2, 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 connected in sequence.

5. The energy storage power station according to claim 4, wherein; 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 judges the state and fault conditions of the battery by comparing and analyzing the relationships and trends between different features; the result output unit outputs the state and fault diagnosis results of the battery according to the results of the data analysis.

6. The energy storage power station according to claim 4, wherein; The intelligent prediction unit is composed of a model establishment unit, an intelligent analysis unit, a fault detection unit, an intelligent diagnosis unit, and an intelligent positioning unit connected in sequence.

7. The energy storage power station according to claim 6, wherein; The model establishment unit establishes a digital twin model of the battery based on the fused data; the intelligent analysis unit predicts the state and fault conditions of the battery by analyzing and simulating the digital twin model; the fault detection unit judges whether the battery has a fault based on the analysis results of the digital twin model and determines the location of the fault point; the intelligent diagnosis unit performs fault diagnosis and analysis according to the location and characteristics of the fault point.

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

9. The energy storage power station according to claim 8, wherein; The robot deployment unit uses a thermal imaging robot to be placed in the area to be monitored for inspection; the data acquisition and processing unit processes and analyzes the collected thermal image data; the anomaly detection unit judges whether there are abnormal conditions in the target area according to 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's field of view and the shooting height.

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