Temperature management method for storage battery compartment of electric ship, electronic equipment and medium

By using a temperature monitoring method combined with distributed fiber sensors and infrared thermal imaging cameras in the ship battery compartment, the problems of uneven temperature distribution and monitoring equipment failure are solved, high-precision and real-time temperature monitoring are achieved, and management efficiency and safety are improved.

CN120149592APending Publication Date: 2025-06-13SANDIANSHUI NEW ENERGY TECH (ANHUI) CO LTD
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Patent Information

Application Number
CN202510299166.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-13
Publication Date
2025-06-13

AI Technical Summary

Technical Problem

When monitoring the temperature of a ship's battery compartment, the prior art has problems such as uneven temperature distribution and monitoring equipment failure, resulting in inaccurate temperature monitoring and lack of real-time and continuity.

Method used

The temperature monitoring method combined with a distributed fiber sensor and infrared thermal imaging camera is adopted to collect the battery temperature of each node through the data acquisition unit, and the data processing unit processes it to obtain the target battery temperature, and generate early warning information when the temperature change data meets the early warning conditions.

Benefits of technology

It realizes high-precision monitoring of the temperature of the ship's battery compartment, ensures real-time and continuity of temperature monitoring, promptly detects potential safety hazards, and improves the intelligence level and efficiency of management.

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Abstract

The invention provides an electric ship storage battery cabin temperature management method, electronic equipment and a medium, and relates to the field of ship battery management.The method comprises the steps that a data acquisition unit acquires battery temperatures of different nodes on a ship storage battery cabin and sends the battery temperatures to a data processing unit; the processing unit is used for processing the first battery temperature and the second battery temperature of any node to obtain the target battery temperature of the node; processing a plurality of target battery temperatures of the node in a preset time period to obtain temperature change data; when the temperature change data meets the early warning condition, early warning information is generated and sent to the alarm unit; the alarm unit gives an alarm according to the early warning information. The distributed optical fiber sensor and the infrared thermal imaging camera are combined, so that high precision and stability of temperature monitoring are ensured. According to the invention, the battery temperature can be monitored in real time, and an early warning signal can be sent out immediately when abnormity occurs, so that sufficient time is provided for managers to take measures.
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Description

Technical Field

[0001] The present application relates to the field of ship battery management, and more particularly, to a method for managing the temperature of a battery compartment of an electric ship, an electronic device, and a medium. Background Art

[0002] With the development of science and technology, the on-line monitoring technology of storage batteries has begun to be widely applied to the monitoring of storage batteries in data centers. This new type of storage battery detection means can accurately monitor key parameters such as the voltage, current, ripple coefficient, and ambient temperature of the storage battery pack, providing strong support for the maintenance and management of storage batteries.

[0003] During the charging and discharging process of energy storage batteries, due to internal chemical reactions and external environmental factors, thermal runaway may occur, resulting in a sharp rise in battery temperature, posing a great threat to the safety of personnel's lives and property. Therefore, it is crucial to monitor the temperature of the battery compartment in real time.

[0004] Due to the complex environment inside the battery compartment, the temperature distribution may be uneven, resulting in the monitoring equipment being unable to accurately reflect the overall temperature situation. Summary of the Invention

[0005] The purpose of the embodiments of the present application is to provide a method for managing the temperature of a battery compartment of an electric ship, an electronic device, and a medium, which solves the above problems existing in the prior art and can obtain a relatively accurate battery temperature.

[0006] In a first aspect, a method for managing the temperature of a battery compartment of an electric ship is provided, which is applied to a battery compartment management system including a data acquisition unit, a data processing unit, and an alarm unit. The method may include:

[0007] The data acquisition unit collects the battery temperatures of different nodes on the ship's battery compartment and sends the battery temperatures to the data processing unit; the data acquisition unit includes a distributed optical fiber sensor and an infrared thermal imaging camera; the battery temperatures include the first battery temperatures of each node collected by the distributed optical fiber sensor and the second battery temperatures of each node collected by the infrared thermal imaging camera;

[0008] For any node, the processing unit processes the first battery temperature and the second battery temperature of the node to obtain the target battery temperature of the node; and, processes multiple target battery temperatures of the node within a preset time period to obtain temperature change data; when the temperature change data meets the warning condition, a warning message is generated and sent to the alarm unit;

[0009] The alarm unit alarms according to the warning message.

[0010] In a possible implementation, processing the first battery temperature and the second battery temperature of the node to obtain the target battery temperature of the node includes:

[0011] Calculating the first battery temperature and the second battery temperature by using a first preset algorithm to obtain the target battery temperature;

[0012] The first preset algorithm is:

[0013]

[0014] where T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, is the temperature gradient, and S hotspot is the hot spot area.

[0015] In a possible implementation, the calculation method of the temperature gradient is:

[0016]

[0017] where Δx is the fiber optic spatial resolution, and T i and T i+1 are the second temperatures of adjacent nodes.

[0018] In a possible implementation, processing the first battery temperature and the second battery temperature of the node to obtain the target battery temperature of the node includes:

[0019] Calculating the first battery temperature and the second battery temperature by using a second preset algorithm to obtain the target battery temperature;

[0020] The second preset algorithm is:

[0021]

[0022] where T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, w DFOTS is the first weight of the first battery temperature, and w IR is the second weight of the second battery temperature.

[0023] In a possible implementation, the calculation methods of the first weight and the second weight are:

[0024]

[0025] where σ DFOTSis the standard deviation of the first battery temperature, σ IR is the standard deviation of the second battery temperature.

[0026] In a possible implementation, the battery compartment management system further includes: an adjustment unit;

[0027] After determining that the temperature change data meets the temperature adjustment threshold, the processing unit generates adjustment information and sends the adjustment information to the adjustment unit;

[0028] The adjustment unit adjusts the battery temperature of the corresponding node in the ship's battery compartment according to the adjustment information.

[0029] In a possible implementation, the temperature adjustment threshold includes a first-level threshold and a second-level threshold; the first-level threshold is less than the second-level threshold;

[0030] The processing unit processes the temperature change data of the node within a preset period to obtain an average temperature;

[0031] If the average temperature meets the first-level threshold, a first adjustment scheme is started;

[0032] If the average temperature meets the second-level threshold, a second adjustment scheme is started;

[0033] Wherein, the first adjustment scheme is to start the fan; the second adjustment scheme is to trigger liquid cooling.

[0034] In a second aspect, an electronic device is provided. The electronic device includes a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus;

[0035] The memory is used to store a computer program;

[0036] The processor, when executing the program stored on the memory, implements the method steps described in any one of the first aspects above.

[0037] In a third aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps described in any one of the first aspects above are implemented.

[0038] This application can improve the intelligent level of battery management: By monitoring key parameters such as the temperature, voltage, and current of the battery in real time, the battery monitoring system can accurately judge the working state of the battery, timely detect potential safety hazards, thereby improving the intelligent level and efficiency of management. Prevent battery failures and ensure the stable operation of the system: As the backup power source of the power system, the stability and safety of the battery are crucial. The temperature monitoring system can monitor the battery state in real time, prevent battery failures, avoid problems such as system downtime or data loss caused by battery failures, and ensure the stable operation of key facilities. Prolong the service life of the battery: By monitoring parameters such as the charge and discharge state and temperature of the battery, anomalies can be detected in a timely manner and measures can be taken to avoid over-discharging or over-charging of the battery, thereby prolonging the service life of the battery. In addition, intelligent adjustment of the charging current and time can also improve the charging efficiency and save energy. Achieve remote monitoring and automated management: The battery monitoring system supports remote monitoring and automated management functions. Operation and maintenance personnel can monitor the battery state anytime and anywhere, detect problems in a timely manner and take measures. This remote monitoring method not only improves the response speed of the computer room but also reduces the labor intensity of operation and maintenance personnel. Enhance the flexibility and scalability of the system: With the development of wireless communication technology, the battery monitoring system is gradually becoming wireless, reducing the installation and maintenance costs of the system, and improving the flexibility and scalability of the system. In addition, the modular design makes the system convenient for upgrading and maintenance to meet the needs of different application scenarios. Description of the Drawings

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0040] Figure 1 It is a schematic structural diagram of a battery compartment management system provided by an embodiment of the present application;

[0041] Figure 2 It is a schematic flow diagram of a method for managing the temperature of an electric ship battery compartment provided by an embodiment of the present application;

[0042] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed Embodiments

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0044] With the development of science and technology, on-line monitoring technology of storage batteries has begun to be widely applied to the monitoring of storage batteries in data centers. This new type of storage battery detection method can accurately monitor key parameters such as the voltage, current, ripple coefficient, and ambient temperature of the storage battery pack, providing strong support for the maintenance and management of storage batteries.

[0045] During the charging and discharging process of energy storage batteries, due to internal chemical reactions and external environmental factors, thermal runaway may occur, resulting in a sharp rise in battery temperature, posing a great threat to the safety of personnel's lives and property. Therefore, it is crucial to monitor the temperature of the storage battery compartment in real time.

[0046] Defects of the prior art:

[0047] 1. Inaccurate temperature monitoring;

[0048] Due to the complex environment in the storage battery compartment, there may be uneven temperature distribution, resulting in the monitoring equipment being unable to accurately reflect the overall temperature condition.

[0049] 2. Equipment failure or aging;

[0050] The temperature monitoring equipment itself may malfunction due to aging, damage, or incorrect operation procedures, thus affecting the accuracy of the monitoring results.

[0051] 3. Greatly affected by the environment;

[0052] There may be other interference factors in the storage battery compartment, such as electromagnetic interference, vibration, etc., which may affect the normal operation of the temperature monitoring equipment.

[0053] 4. Lack of real-time and continuity;

[0054] Some temperature monitoring technologies may not be able to achieve real-time and continuous temperature monitoring, resulting in the inability to detect abnormal temperature changes in a timely manner, thus increasing potential safety hazards.

[0055] 5. Difficult to maintain and calibrate;

[0056] The temperature monitoring equipment needs to be regularly maintained and calibrated to ensure its accuracy, but it may be difficult to achieve in the storage battery compartment due to space limitations or complex operations.

[0057] Therefore, the present application provides a method for temperature management of an electric ship battery compartment, which solves the above problems existing in the prior art and can obtain relatively accurate battery temperatures.

[0058] The following describes the preferred embodiments of the present application with reference to the accompanying drawings of the specification. It should be understood that the preferred embodiments described herein are only for illustrating and explaining the present application, and are not used to limit the present application. And without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0059] Figure 2 It is a schematic flowchart of a method for temperature management of an electric ship battery compartment provided by an embodiment of the present application. As Figure 2 shown, this method is applied to a battery compartment management system including a data acquisition unit, a data processing unit, an alarm unit, an adjustment unit, and a communication unit. This method may include:

[0060] Step S210: The data acquisition unit collects the battery temperatures of different nodes on the ship battery compartment and sends the battery temperatures to the data processing unit.

[0061] Among them, the data acquisition unit includes a distributed optical fiber sensor and an infrared thermal imaging camera; the battery temperatures include the first battery temperatures of each node collected by the distributed optical fiber sensor and the second battery temperatures of each node collected by the infrared thermal imaging camera;

[0062] Specifically, a distributed optical fiber temperature sensor and an infrared thermal imaging camera are respectively arranged for each row of battery packs in the ship battery compartment.

[0063] The distributed optical fiber temperature sensor uses the Raman scattering effect in the optical fiber to detect temperature. Through a single optical fiber, continuous temperature monitoring of an entire row of battery packs can be achieved, ensuring that no monitoring node is missed or repeatedly monitored, and at the same time avoiding mutual interference between different monitoring nodes. In other words, this sensor can seamlessly cover all battery packs that need to be monitored, providing users with accurate and reliable temperature data, and ensuring the efficiency and accuracy of the monitoring process. This not only improves the comprehensiveness of temperature monitoring, but also enhances the reliability and safety of the system.

[0064] Using an infrared thermal imaging camera to collect data can efficiently obtain the temperature information of each node on the battery surface and convert it into a visual thermal image. This non-invasive detection method not only improves work efficiency but also ensures measurement accuracy. By analyzing these thermal images, the system can quickly identify any areas that may have overheating problems, provide timely warnings and support further data processing and fault diagnosis. This method greatly facilitates the real-time monitoring and management of the battery state and helps prevent potential safety hazards.

[0065] Step S220: For any node, the processing unit processes the first battery temperature and the second battery temperature of the node to obtain the target battery temperature of the node; and processes multiple target battery temperatures of the node within a preset period to obtain temperature change data; when the temperature change data meets the warning condition, a warning message is generated and sent to the alarm unit.

[0066] Specifically, there are two ways to calculate the target battery temperature from the first battery temperature and the second battery temperature, which may include:

[0067] A. Using a first preset algorithm to calculate the first battery temperature and the second battery temperature to obtain the target battery temperature;

[0068] The first preset algorithm is:

[0069]

[0070] Where T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, is the temperature gradient, and S hotspot is the hot spot area.

[0071] The calculation method of the temperature gradient is:

[0072]

[0073] Where Δx is the fiber optic spatial resolution, and T i and T i+1 are the second temperatures of adjacent nodes.

[0074] B. Using a second preset algorithm to calculate the first battery temperature and the second battery temperature to obtain the target battery temperature;

[0075] Specifically, in order to improve the calculation accuracy, a distributed fiber optic temperature sensor and an infrared thermal imaging camera can be set to collect the temperature of the same battery multiple times at the same time point, so as to obtain multiple first battery temperatures and multiple second battery temperatures.

[0076] After that, since the collected original temperature data may contain some outliers or noise, it is necessary to sort out and clean these data. This step may include operations such as removing obviously incorrect data points and filling in missing values to ensure the accuracy of subsequent analysis.

[0077] The second preset algorithm is:

[0078]

[0079] Among them, T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, w DFOTS is the first weight of the first battery temperature, w IR is the second weight of the second battery temperature.

[0080] Furthermore, the calculation method of the first weight is:

[0081] The calculation method of the second weight is

[0082] Among them, σ DFOTS is the standard deviation of the first battery temperature, σ IR is the standard deviation of the second battery temperature.

[0083] After that, process the multiple target battery temperatures of the node within a preset time period, and the obtained temperature change data may include:

[0084] First, within a preset time period (such as every minute, every 5 minutes, etc.), collect the target battery temperatures of each node.

[0085] According to the target battery temperature, calculate the temperature change of each node's battery within the preset time period. The temperature change rate of each battery can be determined by calculating the temperature difference between adjacent time points, or calculate the average temperature and its change trend within the entire time period.

[0086] Visualize the processed temperature change data, such as plotting a temperature change curve of temperature over time, so as to intuitively observe the temperature change pattern of each battery pack.

[0087] In some embodiments, process the temperature change curves of multiple preset time periods to obtain a temperature change trend graph; for the data within each preset time period, calculate the corresponding temperature change index. It can be statistical quantities such as average temperature, maximum / minimum temperature, standard deviation of temperature, etc., and integrate the data from different time periods to obtain a temperature change trend graph.

[0088] In another embodiment, based on the temperature change trend graph of each node, predict the predicted temperature of the battery in the future time period. Adopt a multi-variable fusion model to process the temperatures corresponding to each time point in the temperature change trend graph, and output the predicted temperature of the battery in the future time period. Specifically, the input data of the input layer of the multi-variable fusion model is: the temperature data corresponding to each time point. Environmental variables (ambient temperature, current, SOC). Spatial features (temperature gradient, hot spot distribution). The data output by the output layer is: the temperature prediction in the future time period.

[0089] In some embodiments, after determining that the temperature change data meets the temperature adjustment threshold, the processing unit generates adjustment information and sends the adjustment information to the adjustment unit; the temperature adjustment threshold includes a primary threshold and a secondary threshold; the primary threshold is less than the secondary threshold.

[0090] The adjustment unit adjusts the battery temperature of the corresponding node in the ship's battery compartment according to the adjustment information, which may include:

[0091] The processing unit processes the temperature change data of the node within a preset time period to obtain the average temperature.

[0092] If the average temperature meets the primary threshold, the first adjustment scheme is started; the control logic for the primary threshold response (fan control): when θl evel2 ≥T avg >θl evel1 is satisfied, the fan is started for cooling. After that, the temperature change rate after adjustment is calculated every 10 seconds. If ΔT eff <0.5℃ / s, ΔT eff <0.5℃ / s, it is considered that the adjustment is effective, otherwise it is determined as a failure.

[0093] If the average temperature meets the secondary threshold, the second adjustment scheme is started; the control logic for the secondary threshold response (triggering liquid cooling): when T avg >θl evel2 is satisfied, liquid cooling is triggered for cooling. After that, the temperature change rate after adjustment is calculated every 10 seconds. If ΔT eff <0.5℃ / s, ΔT eff <0.5℃ / s, it is considered that the adjustment is effective, otherwise it is determined as a failure.

[0094] When the temperature change data meets the warning condition, a warning message is generated and sent to the alarm unit. Specifically, the warning condition may be that when the temperature change data exceeds the preset safety range, a warning message is generated, or a warning condition based on the temperature change rate is set, or for the situation of maintaining within an unsatisfactory but not yet emergency temperature range for a long time, the duration can be set as the warning condition.

[0095] The alarm unit can give an alarm according to the warning message.

[0096] Since the normal operating temperature range of the battery is 20 - 40°C and the optimal operating temperature is 25°C. When the temperature rises by 5°C each time, the service life of the battery is reduced by 10%, and thermal runaway is likely to occur. The high-temperature environment will shorten the service life of the battery and even pose a fire risk. Therefore, by monitoring the temperature of the single battery, it can be ensured that the battery operates within an appropriate temperature range and its service life is extended.

[0097] In some embodiments, the communication unit of the present application can be linked with fire-fighting facilities. When the temperature change data meets the conditions for activating the fire-fighting facilities, the communication unit can remotely trigger the fire-fighting facilities for emergency treatment.

[0098] In this way, when the battery undergoes thermal runaway, the temperature will rise sharply. By monitoring the temperature change in real time, abnormal conditions can be detected in the early stage of thermal runaway, and measures can be taken in a timely manner to prevent accidents.

[0099] In another embodiment, the present application can be connected to a remote monitoring center through a communication unit, and data can be transmitted to the remote monitoring center or the device of the management personnel through the network to achieve remote monitoring and management.

[0100] In another embodiment, temperature monitoring can be combined with other monitoring parameters (such as voltage, current, humidity, etc.) to form a comprehensive battery state monitoring system. In this way, the health status and potential risks of the battery can be evaluated more accurately.

[0101] The present application provides a method for managing the temperature of an electric ship battery compartment. The method is applied to a battery compartment management system including a data acquisition unit, a data processing unit, and an alarm unit. The method includes: the data acquisition unit acquires the battery temperatures of different nodes on the ship battery compartment and sends the battery temperatures to the data processing unit; the data acquisition unit includes a distributed optical fiber sensor and an infrared thermal imaging camera; the battery temperature includes the first battery temperature of each node acquired by the distributed optical fiber sensor and the second battery temperature of each node acquired by the infrared thermal imaging camera; the processing unit processes the first battery temperature and the second battery temperature of a node to obtain the target battery temperature of the node; and processes multiple target battery temperatures of the node within a preset time period to obtain temperature change data; when the temperature change data meets the warning conditions, a warning message is generated and sent to the alarm unit; the alarm unit alarms according to the warning message. The combination of the distributed optical fiber sensor and the infrared thermal imaging camera in this method ensures high-precision and stable temperature monitoring. A single optical fiber can continuously cover an entire row of battery packs, achieving comprehensive and non-missing temperature monitoring. It can monitor the battery temperature in real time and immediately send a warning signal when abnormal, providing sufficient time for management personnel to take measures. The infrared thermal imaging camera can generate a temperature distribution image of the battery compartment, enabling management personnel to intuitively understand the temperature status of the battery compartment.

[0102] The embodiment of the present application also provides an electronic device, such as Figure 3 shown, including a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 complete mutual communication through the communication bus 340.

[0103] A memory 330 for storing a computer program;

[0104] A processor 310, when executing the program stored on the memory 330, implements the following steps:

[0105] The data acquisition unit acquires the battery temperatures of different nodes on the ship's battery compartment and sends the battery temperatures to the data processing unit; the data acquisition unit includes a distributed optical fiber sensor and an infrared thermal imaging camera; the battery temperatures include the first battery temperature of each node acquired by the distributed optical fiber sensor and the second battery temperature of each node acquired by the infrared thermal imaging camera;

[0106] For any node, the processing unit processes the first battery temperature and the second battery temperature of the node to obtain the target battery temperature of the node; and, processes multiple target battery temperatures of the node within a preset time period to obtain temperature change data; when the temperature change data meets the warning condition, a warning message is generated and sent to the alarm unit;

[0107] The alarm unit alarms according to the warning message.

[0108] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, only a thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0109] The communication interface is used for communication between the above-mentioned electronic device and other devices.

[0110] The memory may include a Random Access Memory (RAM), or may also include a Non-Volatile Memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located far from the aforementioned processor.

[0111] The above-mentioned processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0112] Since the implementation manners and beneficial effects of the components of the electronic device in the above embodiments for solving problems can be realized by referring to the steps in the embodiments shown in Figure 2 Therefore, the specific working process and beneficial effects of the electronic device provided in the embodiments of the present application will not be elaborated herein.

[0113] In another embodiment provided by the present application, a computer-readable storage medium is further provided. Instructions are stored in the computer-readable storage medium. When it runs on a computer, it causes the computer to execute any one of the above embodiments of a method for managing the temperature of an electric ship battery compartment.

[0114] In another embodiment provided by the present application, a computer program product containing instructions is further provided. When it runs on a computer, it causes the computer to execute any one of the above embodiments of a method for managing the temperature of an electric ship battery compartment.

[0115] Those skilled in the art should understand that the embodiments in the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the embodiments in the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments in the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] Embodiments of the present application are described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the specified functions in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the specified functions in multiple blocks.

[0117] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means, and the instruction means implements the specified functions in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the specified functions in multiple blocks.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or a means for implementing the specified functions in multiple blocks.

[0119] Unless otherwise defined, the technical terms or scientific terms used in the present application should have the ordinary meaning understood by those of ordinary skill in the art to which the present invention pertains. The "first", "second", and similar terms used in the present application do not denote any order, quantity, or importance, but are only used to distinguish different components. Words such as "including" or "comprising" mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connected", "coupled", or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right", etc. are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0120] Although the preferred embodiments in the embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the embodiments of the present application are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present application.

[0121] Obviously, those skilled in the art can make various changes and modifications to the embodiments in the embodiments of the present application without departing from the spirit and scope of the embodiments in the embodiments of the present application. Thus, if these modifications and variations of the embodiments in the embodiments of the present application fall within the scope of the embodiments of the present application and their equivalent technologies, the embodiments of the present application are also intended to include these changes and modifications.

Claims

1. A method for managing the temperature of a battery compartment of an electric ship, characterized in that: Applied to a battery compartment management system including a data acquisition unit, a data processing unit and an alarm unit, the method includes: The data acquisition unit collects the battery temperature of different nodes on the ship's battery compartment and sends the battery temperature to the data processing unit; the data acquisition unit includes a distributed optical fiber sensor and an infrared thermal imaging camera; the battery temperature includes a first battery temperature of each node collected by the distributed optical fiber sensor and a second battery temperature of each node collected by the infrared thermal imaging camera; The processing unit processes the first battery temperature and the second battery temperature of any node to obtain the target battery temperature of the node; and processes multiple target battery temperatures of the node within a preset period to obtain temperature change data; when the temperature change data meets the warning condition, generates warning information and sends it to the alarm unit; The alarm unit issues an alarm according to the early warning information.

2. The method according to claim 1, characterized in that Processing the first battery temperature and the second battery temperature of the node to obtain a target battery temperature of the node includes: Using a first preset algorithm, calculating the first battery temperature and the second battery temperature to obtain the target battery temperature; The first preset algorithm is: Among them, T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, is the temperature gradient, S hotspot is the hot spot area.

3. The method according to claim 2, characterized in that The temperature gradient is calculated as follows: Where Δx is the fiber spatial resolution, T i and T i+1 is the second temperature of the adjacent node.

4. The method according to claim 1, characterized in that Processing the first battery temperature and the second battery temperature of the node to obtain a target battery temperature of the node includes: Using a second preset algorithm, calculating the first battery temperature and the second battery temperature to obtain the target battery temperature; The second preset algorithm is: Among them, T 融合 is the target battery temperature, T DFOTS is the first battery temperature, T IR is the second battery temperature, w DFOTS is the first weight of the first battery temperature, w IR is a second weight of the second battery temperature.

5. The method according to claim 4, characterized in that The first weight and the second weight are calculated as follows: Among them, σ DFOTS is the standard deviation of the first battery temperature, σ IR is the standard deviation of the second battery temperature.

6. The method according to claim 1, characterized in that The battery compartment management system further includes: a regulating unit; After determining that the temperature change data meets the temperature adjustment threshold, the processing unit generates adjustment information and sends the adjustment information to the adjustment unit; The regulating unit regulates the battery temperature of the corresponding node in the ship's battery compartment according to the regulating information.

7. The method according to claim 6, characterized in that The temperature adjustment threshold includes a primary threshold and a secondary threshold; the primary threshold is smaller than the secondary threshold; The processing unit processes the temperature change data of the node within a preset period of time to obtain an average temperature; If the average temperature meets the first-level threshold, the first adjustment scheme is initiated; If the average temperature meets the secondary threshold, the second adjustment scheme is initiated; Among them, the first adjustment scheme is to start the fan; the second adjustment scheme is to trigger liquid cooling.

8. An electronic device, characterized in that: The electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; A processor, for implementing the method steps described in any one of claims 1 to 6 when executing a program stored in a memory.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps described in any one of claims 1 to 6 are implemented.