Temperature monitoring method, system, medium and equipment for battery energy storage power station

Abstract

The invention discloses a temperature monitoring method, system, medium and equipment for a battery energy storage power station, and the method comprises the steps: presetting a time interval and a sampling interval, and collecting all temperature sensor data in a to-be-detected battery; according to the structure and measuring point distribution of the to-be-measured battery, reconstructing battery temperature data, and for the battery lacking temperature measuring points, performing temperature compensation by adopting an interpolation function; performing secondary reconstruction on the temperature data to obtain temperature field distribution of the battery to be measured at different time and different space sections; calculating the temperature field distribution of the to-be-measured battery at any time and any space section, solving the average value of the temperature field of the to-be-measured battery in a preset time interval, and monitoring the temperature field of the battery energy storage power station system in real time. Through data acquisition, reconstruction and calculation, the temperature data of the battery of the energy storage power station can be monitored in real time, and the potential heat loss problem of the battery of the energy storage power station can be early warned on the basis, so that the safety of a battery energy storage power station system is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent operation and maintenance of battery energy storage power stations, and specifically relates to a temperature monitoring method, system, medium and equipment for a battery energy storage power station. Background Art

[0002] At present, battery energy storage power stations can provide reliable power services, improve power quality, balance grid loads, reduce power costs, cope with future changes in power demand, and ensure the stability and reliability of the power system. In recent years, my country's new energy storage technologies have developed rapidly, especially the continuous expansion of the installed capacity of lithium battery energy storage power stations, but at the same time they also face certain safety risks, posing a threat to the operation of power stations. Therefore, it is necessary to accurately and comprehensively monitor the battery status to improve system reliability.

[0003] Among the many problems faced by battery energy storage power stations during operation, battery thermal runaway is a very important issue that requires sufficient attention. Among the many monitoring parameters of the battery cells in the battery energy storage power station, the battery cell temperature is one of the most accurate and intuitive parameters that reflects the battery operating status and thermal runaway status. As the battery charge and discharge cycle proceeds, heat will be generated inside the battery. If the temperature is too high, it will not only accelerate the aging of the battery and shorten the battery life, but may also cause thermal runaway of the battery, and in severe cases may cause fire or explosion accidents. Therefore, timely and accurate monitoring of the temperature field of the battery energy storage power station system is of great significance for improving operating efficiency and timely detection of potential safety issues.

[0004] However, considering the battery pack integration solution and cost, many large battery energy storage power stations currently have insufficient number of temperature sensors. Often, only some batteries are equipped with temperature sensor measurement points, while some batteries are in a state where the temperature cannot be monitored during operation. Based on the monitoring conditions of the battery temperature, in the existing technology, without considering the cost and integration solution and without increasing the number of battery temperature sensors, it is impossible to effectively monitor the temperature state of the battery, and it is also impossible to obtain a relatively complete temperature field of the battery energy storage power station system, and thus it may not be possible to effectively ensure the safety of the battery. Summary of the invention

[0005] The present invention provides a temperature monitoring method, system, medium and device for a battery energy storage power station, aiming to solve the problem that the temperature state of the battery cannot be effectively monitored and a relatively complete temperature field of the battery energy storage power station system cannot be obtained without considering the cost integration solution and increasing the number of battery temperature sensors, and thus the battery safety may not be effectively guaranteed.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: The present invention provides a real-time monitoring method for the temperature field of a battery energy storage power station system, comprising the following steps: S1, preset time intervals and sampling intervals, collect and obtain all temperature sensor data in the battery to be tested, and replace missing temperature data with temperature data of the same temperature sensor collected at other time intervals, and integrate the data to form battery temperature data; S2. Reconstruct the battery temperature data according to the structure of the battery to be tested and the distribution of the measuring points. For the battery lacking the temperature measuring points, use the interpolation function to fill the temperature. Reconstruct the temperature data twice to obtain the temperature field distribution of the battery to be tested at different times and different spatial sections. S3. Based on the temperature field distribution of the battery to be tested, calculate the temperature field distribution of the battery to be tested at any time and any spatial cross-section, and obtain the average value of the temperature field of the battery to be tested within a preset time interval; visualize the average value of the temperature field, and divide the monitoring level based on the temperature field distribution of the battery to be tested, so as to monitor the temperature field of the battery energy storage power station system in real time.

[0007] In some embodiments, in S1, replacing the temperature data of the same temperature sensor collected at other time intervals specifically includes: when a measuring point corresponding to the current temperature sensor has no temperature data at the end time, the temperature data of the measuring point is replaced by the temperature data at its adjacent time interval.

[0008] In some embodiments, in S2, a battery temperature data matrix is ​​constructed according to the structure of the battery to be tested and the distribution of measuring points, and a Gaussian interpolation function is used to interpolate the missing temperature values ​​in the battery temperature data matrix. Then, the data is fitted by a fitting function to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery.

[0009] Furthermore, in S2, data fitting is performed by using a fitting function, specifically including: The following Gaussian function is used to fit the data: (1); in, is the battery temperature data, is the interpolation function, is the independent variable of the Gaussian interpolation function, , , is a real constant.

[0010] Further, in S2, by using the least squares principle to calculate , , The value of: (2); in, is the sequence number, is the independent variable of the Gaussian interpolation function, For Corresponding known temperature data.

[0011] In some implementations, in S2, when the temperature data is reconstructed for the second time, it is necessary to reflect the overall temperature field distribution in the battery compartment based on the physical structure of the battery cluster and the battery compartment of the battery to be tested.

[0012] In some embodiments, in S3, the following formula is used to calculate the average value of the temperature distribution: (3); in, The average temperature of the battery compartment in the selected time interval, for i Temperature distribution of the battery compartment at all times, n is the number of time intervals.

[0013] The present invention also provides a real-time monitoring system for the temperature field of a battery energy storage power station system, the system comprising a data acquisition module, a data reconstruction module and a temperature field calculation and visualization module, wherein: The data acquisition module is used to: collect data from all temperature sensors in the battery compartment at preset time intervals and sampling intervals; if there is missing temperature data, the temperature data collected at other time intervals is used to replace it to form a complete battery temperature data set; The data reconstruction module is used to: reconstruct the collected battery temperature data according to the battery integration strategy and the temperature measurement point distribution; reconstruct the temperature data to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery; The temperature field calculation and visualization module is used to: calculate the temperature field distribution at any time and any spatial section based on the overall temperature field distribution of the battery compartment obtained by the data reconstruction module; obtain the average value of the temperature field within a specific time interval, and visualize the average value of the temperature field.

[0014] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the real-time monitoring method of the temperature field of the battery energy storage power station system are implemented.

[0015] The present invention also provides a computer device, including a memory, a processor, and a computer program stored and running on the memory. When the processor executes the computer program, the steps of the real-time monitoring method of the temperature field of the battery energy storage power station system as described above are implemented.

[0016] Compared with the prior art, the temperature monitoring method, system, medium and device of a battery energy storage power station of the present invention have the following beneficial effects: The present invention provides a real-time monitoring method for the temperature field of a battery energy storage power station system, comprising the following steps: S1, preset time intervals and sampling intervals, collect and obtain all temperature sensor data in the battery to be tested, and replace the missing temperature data with the temperature data of the same temperature sensor collected at other time intervals, and integrate the data to form the battery temperature data; S2, reconstruct the battery temperature data according to the structure and measurement point distribution of the battery to be tested, and use the interpolation function to fill the temperature for the battery lacking temperature measurement points; reconstruct the temperature data twice to obtain the temperature field distribution of the battery to be tested at different times and different spatial cross-sections; S3, based on the temperature field distribution of the battery to be tested, calculate the temperature field distribution of the battery to be tested at any time and any spatial cross-section, and obtain the average value of the temperature field of the battery to be tested within the preset time interval; visualize the average value of the temperature field, and divide the monitoring level based on the temperature field distribution of the battery to be tested, so as to monitor the temperature field of the battery energy storage power station system in real time. The present invention firstly improves the integrity and accuracy of the data by replacing the missing data with the temperature data of the same temperature sensor collected at other time intervals through data collection and integration. Then, through the reconstruction of the temperature data, the interpolation function and the secondary reconstruction, the temperature field distribution of the battery to be tested at different times and different spatial sections can be accurately obtained, which helps to more accurately understand the temperature condition of the battery energy storage power station system and accurately reconstruct the temperature field. Finally, the present invention performs real-time monitoring and visual display of the temperature field, and divides the monitoring level based on the temperature field distribution, and performs relatively accurate calculation and monitoring of the temperature field. It can monitor the batteries of the energy storage power station in real time and warn of potential thermal fault problems, improve the safety of the battery energy storage power station system, and provide technical support for the subsequent operation and maintenance of the battery energy storage power station system, so as to formulate reasonable operation and maintenance strategies or optimize rectification measures in the future, which has better practical significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings in the specification are used to provide further understanding of the present invention and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0018] Figure 1 A schematic diagram of the arrangement of temperature sensors in a battery pack in an embodiment of a temperature monitoring method, system, medium and device for a battery energy storage power station of the present invention; Figure 2 It is a top view schematic diagram of the temperature field distribution of the battery compartment in an embodiment of a temperature monitoring method, system, medium and device for a battery energy storage power station of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0022] In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0023] In addition, if the term "horizontal" appears, it does not mean that the component must be absolutely horizontal, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", which does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0024] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] How to timely and accurately monitor the temperature field of the battery energy storage power station system, thereby avoiding and warning of potential thermal fault problems of the energy storage power station batteries to a certain extent, thereby improving the safety of the battery energy storage power station system.

[0026] Based on this, the present invention provides a real-time monitoring method for the temperature field of a battery energy storage power station system, comprising the following steps: S1, preset time intervals and sampling intervals, collect and obtain all temperature sensor data in the battery to be tested, and replace missing temperature data with temperature data of the same temperature sensor collected at other time intervals, and integrate the data to form battery temperature data; S2. Reconstruct the battery temperature data according to the structure of the battery to be tested and the distribution of the measuring points. For the battery lacking the temperature measuring points, use the interpolation function to fill the temperature. Reconstruct the temperature data twice to obtain the temperature field distribution of the battery to be tested at different times and different spatial sections. S3. Based on the temperature field distribution of the battery to be tested, calculate the temperature field distribution of the battery to be tested at any time and any spatial cross-section, and obtain the average value of the temperature field of the battery to be tested within a preset time interval; visualize the average value of the temperature field, and divide the monitoring level based on the temperature field distribution of the battery to be tested, so as to monitor the temperature field of the battery energy storage power station system in real time.

[0027] The present invention discloses a real-time monitoring method for the temperature field of a battery energy storage power station system. According to the battery integration strategy and the distribution of temperature measuring points, the data structure of the monitored temperature data is reconstructed in three-dimensional space; the temperature of the battery lacking the temperature measuring point is supplemented, so as to obtain the temperature field distribution of the entire battery compartment at different times and different spatial sections; within the investigated charging and discharging time interval, the average value of the battery system temperature is calculated, which represents the heat generation level and thermal management effect during the battery operation process within the time, and the area with higher temperature value is monitored in key points. When necessary, the thermal management system is optimized to ensure that the battery operates within a more optimal temperature range, thereby improving the safety factor and reliability of the battery energy storage power station system as a whole.

[0028] In some embodiments, in the real-time monitoring method of the present invention, when there is no temperature data at the end time of the measurement point corresponding to the current temperature sensor, the temperature data at the adjacent time interval is used instead, thereby improving the accuracy of the entire temperature data.

[0029] In some embodiments, in the real-time monitoring method of the present invention, by constructing a battery temperature data matrix, a Gaussian interpolation function is used to interpolate the missing temperature values ​​in the battery temperature data matrix, and a fitting function is used to fit the data to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery. The application of the Gaussian interpolation function and the fitting function used in the present invention can more accurately fill in the missing temperature data and generate a more realistic overall temperature field distribution of the battery compartment.

[0030] Furthermore, the present invention adopts the form of Gaussian function for data fitting, and obtains the value of the real constant in the Gaussian interpolation function by calculating using the least squares principle, thereby generating a more accurate overall temperature field distribution of the battery compartment.

[0031] The present invention needs to consider the physical structure of the battery cluster and the battery compartment of the battery to be tested when reconstructing the temperature data. This is because considering the physical structure of the battery cluster and the battery compartment can more accurately reflect the overall temperature field distribution in the battery compartment and improve the accuracy of monitoring.

[0032] The present invention also provides a real-time monitoring system for the temperature field of a battery energy storage power station system, the system comprising a data acquisition module, a data reconstruction module and a temperature field calculation and visualization module, wherein: The data acquisition module is used to: collect data from all temperature sensors in the battery compartment at preset time intervals and sampling intervals; if there is missing temperature data, the temperature data collected at other time intervals is used to replace it to form a complete battery temperature data set; The data reconstruction module is used to: reconstruct the collected battery temperature data according to the battery integration strategy and the distribution of temperature measurement points; reconstruct the temperature data according to the physical structure of the battery cluster and the battery compartment to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery; The temperature field calculation and visualization module is used to: calculate the temperature field distribution at any time and any spatial section based on the overall temperature field distribution of the battery compartment obtained by the data reconstruction module; obtain the average value of the temperature field within a specific time interval, and visualize the average value of the temperature field.

[0033] The present invention provides the above-mentioned real-time monitoring system of the temperature field of the battery energy storage power station system as a carrier to realize the aforementioned real-time monitoring method. When applied to the battery energy storage power station system, the temperature field of the battery energy storage power station system can be monitored timely and accurately, which has important practical significance for improving operation efficiency and timely discovering potential safety problems.

[0034] The temperature monitoring method, system, medium and equipment of a battery energy storage power station of the present invention are further described in detail below through specific embodiments.

[0035] Step 1: battery temperature data collection; Set the time interval to collect all the temperature sensor data in the battery compartment. First, determine the data analysis time interval and sampling interval, recorded as: ts start, ts end and ts interval. And read the battery compartment temperature data in the interval [ts start, ts interval] from the database. If the current measuring point has no data at the start time ts start, this data is replaced by the data at the time of ts start-ts interval; if the current measuring point has no data at the end time ts end, this data is replaced by the data at the time of ts end-ts interval; if the current measuring point has no data at a certain time ts start+i·ts interval (1<=i<=n, n is the total number of interval samples), this data is replaced by the data at the time of ts start+(i-1)·ts interval.

[0036] Step 2: Battery temperature calculation and reconstruction; like Figure 1 As shown in Figure 1, the battery temperature data is reconstructed according to the battery pack structure and measurement point distribution. Figure 1 The battery pack integration method is as follows: 20 batteries are assembled into a battery pack in the order shown in the figure, where dark-colored batteries indicate that temperature sensor measurement points are arranged, and light-colored batteries indicate that temperature sensor measurement points are not arranged. That is, in a battery pack containing 20 batteries, the temperature data is: ; Adopting the interpolation strategy, interpolating the missing values ​​of temperature, then:

[0037] in, ) is the interpolation function used.

[0038] For example, when ) is a Gaussian interpolation function, that is, the Gaussian function is used for fitting: and Temperature distribution; but x =[1,2,3,4,5,6,7,8,9,10], y = ; The fitting function is: (1); in, a , b , c is a real constant. The least squares principle is used to calculate the parametersa , b , c The value of: (2); ; but Calculated as .

[0039] Similarly, for: x =[11,12,13,14,15,16,17,18,19,20]; y = to make a fit; Calculated Numeric value.

[0040] After interpolation calculation, the temperature data of a battery pack containing 20 batteries is: ; Similarly, the temperature data is reconstructed according to the physical structure of the battery cluster and battery compartment to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery. .

[0041] ; ; in, That is the battery temperature distribution in the top view of the battery pack. The battery pack distribution in the side view of the battery cluster. The battery cluster distribution in the top view of the battery compartment. It is a three-dimensional data structure containing the temperatures of all batteries in the battery compartment, and the temperature positions are consistent with the actual physical positions of the batteries.

[0042] Step 3: Battery temperature status monitoring; The temperature field distribution at any time and any spatial cross section can be calculated by step 2. Set the time interval and time interval to be evaluated. For example, the time interval is set to a complete charge and discharge cycle, and the time interval is set to 1 minute. Calculate the temperature field distribution and find the average value of the temperature distribution: (3); in, The average temperature of the battery compartment in the selected time interval, for i Temperature distribution of the battery compartment at all times, n is the number of time intervals.

[0043] like Figure 2 As shown, Conduct a visual display and systematically check the working status of the thermal management system in areas with higher temperatures, such as whether the guide plate and air duct design are reasonable, whether the fan is faulty, etc., and perform repairs when necessary.

[0044] In summary, the temperature monitoring method, system, medium and device of a battery energy storage power station of the present invention realizes real-time monitoring and visualization of the temperature field of the battery energy storage power station system through the synergistic effect of the data acquisition module, the data reconstruction module and the temperature field calculation and visualization module, provides technical support for the operation and maintenance of the battery energy storage power station, and improves the safety factor of the battery energy storage power station.

[0045] Finally, it should be noted that the above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the specification and described above, and any equivalent changes, modifications and evolutions made by using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A real-time monitoring method for the temperature field of a battery energy storage power station system, characterized in that: The steps include: S1. Preset a time interval and sampling interval to collect all temperature sensor data in the battery under test. If any temperature data is missing, replace it with temperature data from the same temperature sensor collected at other time intervals. After integrating the data, form the battery temperature data. S2. Reconstruct the battery temperature data based on the structure and measurement point distribution of the battery to be tested. For batteries that lack temperature measurement points, use an interpolation function to fill in the temperature gap. Perform a secondary reconstruction of the temperature data to obtain the temperature field distribution of the battery to be tested at different times and different spatial sections. S3. Based on the temperature field distribution of the battery to be tested, calculate the temperature field distribution of the battery to be tested at any time and any spatial cross-section, and obtain the average value of the temperature field of the battery to be tested within a preset time interval; visualize the average value of the temperature field, and divide the monitoring level based on the temperature field distribution of the battery to be tested, so as to monitor the temperature field of the battery energy storage power station system in real time.

2. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 1, characterized in that: In S1, replacing the temperature data of the same temperature sensor collected at other time intervals specifically includes: when the measuring point corresponding to the current temperature sensor has no temperature data at the end time, replacing the temperature data of the measuring point with the temperature data at the adjacent time interval.

3. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 1, characterized in that: In S2, a battery temperature data matrix is ​​constructed based on the structure of the battery to be tested and the distribution of measurement points. The Gaussian interpolation function is used to interpolate the missing temperature values ​​in the battery temperature data matrix. Then, the data is fitted using a fitting function to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure layout of the battery.

4. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 3 is characterized in that: In S2, performing data fitting by using a fitting function specifically includes: The following Gaussian function is used to fit the data: （1）； in, is the battery temperature data, is the interpolation function, is the independent variable of the Gaussian interpolation function, , , is a real constant.

5. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 4, characterized in that: In S2, the least squares principle is used to calculate , , The value of: （2）； in, is the sequence number, is the independent variable of the Gaussian interpolation function, For Corresponding known temperature data.

6. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 1, characterized in that: In the above-mentioned S2, when the temperature data is reconstructed for the second time, it is necessary to reflect the overall temperature field distribution in the battery compartment according to the physical structure of the battery cluster and the battery compartment of the battery to be tested.

7. The real-time monitoring method for the temperature field of a battery energy storage power station system according to claim 1, characterized in that: In S3, the following formula is used to calculate the average value of the temperature distribution: （3）； in, The average temperature of the battery compartment within the selected time interval, for i Temperature distribution of the battery compartment at all times, n is the number of time intervals.

8. A system based on the method for real-time monitoring of the temperature field of a battery energy storage power station system according to any one of claims 1 to 7, characterized in that: The system includes a data acquisition module, a data reconstruction module, and a temperature field calculation and visualization module, wherein: The data acquisition module is used to collect data from all temperature sensors in the battery compartment at preset time intervals and sampling intervals. If there is missing temperature data, it is replaced with temperature data collected at other time intervals to form a complete battery temperature data set. The data reconstruction module is used to reconstruct the collected battery temperature data based on the battery integration strategy and the distribution of temperature measurement points. It also reconstructs the temperature data based on the physical structure of the battery cluster and battery compartment to obtain the overall temperature field distribution of the battery compartment that conforms to the actual physical structure of the battery. The temperature field calculation and visualization module is used to: calculate the temperature field distribution at any time and any spatial cross-section based on the overall temperature field distribution of the battery compartment obtained by the data reconstruction module; obtain the average value of the temperature field within a specific time interval, and visualize the average value of the temperature field.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the real-time monitoring method of the temperature field of a battery energy storage power station system as claimed in claims 1 to 7 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored and running on the memory, characterized in that: When the processor executes the computer program, the steps of the real-time monitoring method of the temperature field of the battery energy storage power station system as claimed in claims 1 to 7 are implemented.

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