Marine battery pack temperature field detection method and system

Abstract

The invention provides a marine battery pack temperature field detection method and system, which is applied to the technical field of battery pack temperature monitoring, and comprises the following steps: S1, determining a temperature acquisition detection point on each battery core in a marine battery pack; s2, dividing the marine battery pack into a plurality of temperature sensing areas according to thermal coupling characteristics of the marine battery pack, wherein each temperature sensing area comprises a plurality of battery cells; s3, polling the temperature information of the detection points on the battery core one by one in the temperature sensing areas according to a preset period, and recording the position information; s4, calculating temperature parameters in each battery cell in the current temperature sensing area, and performing local thermal anomaly judgment on each battery cell; s5, recording the judgment result of the current temperature sensing area, and switching to the temperature information acquisition of the next temperature sensing area; and S6, according to the temperature data of each temperature sensing area, constructing an overall temperature field distribution diagram of the marine battery pack. The accuracy of temperature detection and diagnosis of the marine battery pack can be improved.

Description

Technical Field

[0001] This invention belongs to the field of battery pack temperature monitoring technology, specifically relating to a method and system for detecting the temperature field of marine battery packs. Background Technology

[0002] With the rapid development of green ships and new energy power technologies globally, lithium-ion batteries, as high-energy-density and high-efficiency energy storage devices, have been widely used in ship power systems and auxiliary energy storage systems. Especially in fields such as electric ferries, port tugboats, and offshore vessels, lithium battery systems are gradually replacing traditional diesel propulsion devices, becoming an important component in promoting zero-carbon shipping.

[0003] However, marine lithium battery systems operate under particularly complex conditions, facing harsh environments such as vibration, humidity, and salt spray corrosion. Simultaneously, they experience concentrated heat loads, high installation density, and severely limited heat dissipation, making them highly susceptible to risks such as localized heat accumulation and thermal runaway, with potentially disastrous consequences. It is well known that temperature changes and the rate of temperature rise are among the most direct causes of thermal runaway in lithium batteries. Therefore, marine battery pack temperature monitoring technology faces far higher requirements than that of automotive environments: it not only needs high precision and multi-dimensional capabilities but also extremely high reliability, real-time performance, and high efficiency with limited hardware resources.

[0004] In the prior art, CN105222923B discloses a method that sets a small number of temperature detection points on the surface of the battery pack and uses a thermal conductivity model to estimate the temperature of other areas. This scheme is simple, but it ignores the thermal non-uniformity and structural differences between cells, resulting in insufficient accuracy. CN116861698A uses a mesh generation method to perform parallel simulation of the temperature field of the battery pack and relies on multiple temperature measurement points and ambient temperature information to calculate boundary conditions, but it does not adequately consider the actual heating behavior and dynamic modeling of the battery cells, and the system also lacks a real-time response mechanism.

[0005] Therefore, existing methods generally suffer from the following drawbacks: The temperature measurement points are not deployed comprehensively, relying only on a few key points; The accuracy of thermal field simulation is limited, and it does not take into account the actual heating behavior of the battery cell. There is a lack of mechanisms for predicting and warning of temperature field changes; The integration with the ship's energy system is not high, making it impossible to form a closed-loop control.

[0006] To address the aforementioned issues, there is an urgent need to develop a battery pack temperature field testing system with a reasonable structural layout, fast response speed, and the ability to model heat sources and link risks, so as to improve the thermal safety level of ship propulsion systems. Summary of the Invention

[0007] In view of the above-mentioned problems in the prior art, the purpose of the present invention is to provide a method and system for detecting the temperature field of marine battery packs.

[0008] A method for detecting the temperature field of a marine battery pack includes the following steps: S1. Determine the temperature monitoring points on each battery cell in the marine battery pack; S2. Based on the thermal coupling characteristics of the marine battery pack, the marine battery pack is divided into several temperature sensing zones, and each temperature sensing zone includes multiple battery cells. S3. Poll the temperature information of the detection points on the battery cell in each temperature sensing area according to the preset cycle, and record the location information; S4. Calculate the temperature parameters of each battery cell within the current temperature sensing area, and determine the local thermal anomaly of each battery cell. S5. Record the judgment result of the current temperature sensing area and switch to the temperature information collection of the next temperature sensing area; S6. Construct an overall temperature field distribution map of the marine battery pack based on the temperature data of each temperature sensing area; S7. Visualizes the overall temperature distribution of marine battery packs, the outline of risk areas, and the overheating trend diagram.

[0009] Preferably, each battery cell includes at least 8 detection points, with the front and back of the battery cell serving as detection surfaces. Each detection surface has three detection points located at the top, middle, and bottom, and the two tabs of the battery cell each serve as a detection point, for a total of 8 detection points.

[0010] Preferably, the three detection points on the battery cell detection surface are located on the diagonals of the battery cell plane, and the diagonal positions formed by the three detection points on the front of the battery cell and the three detection points on the back of the battery cell are staggered. Preferably, the temperature information of each detection point on the battery cell is collected by a temperature acquisition module. The temperature acquisition module includes an NTC sensor and a protection resistor. The NTC sensor is configured at the detection point of the battery cell, and the protection resistor is connected in series with the NTC sensor.

[0011] Preferably, the temperature parameters include the maximum temperature difference, average temperature, front / back temperature difference, detection surface temperature difference, and left / right electrode temperature difference.

[0012] The preferred formula for calculating the maximum temperature difference is: ; The formula for calculating average temperature is:

[0013] The formula for calculating the temperature difference between the front and back sides is:

[0014] The formula for calculating the temperature difference of the detection surface is: ; The formula for calculating the temperature difference between the left and right ears is: .

[0015] Preferably, the specific steps of step S6 are as follows: S6.1 Data Preparation and Normalization: Collect the raw data collected from all temperature sensing areas in a polling manner, clean and verify the data, and remove invalid data; and align the data from all areas collected within the same time period in terms of time. S6.2 Calculation of representative regional temperature: Calculate the regional average temperature and regional maximum temperature for each temperature sensing area; S6.3 Spatial Mesh Mapping: Based on the physical layout of the battery pack, establish a two-dimensional or three-dimensional spatial mesh model, where each mesh node corresponds to a physical location, and assign the calculation results in S6.2 to all mesh nodes within the physical space covered by the corresponding temperature sensing area. S6.4 Spatial Interpolation Reconstruction: Based on the known temperature values ​​of network nodes, the temperature values ​​of all unknown points in the entire battery pack are calculated using a spatial interpolation algorithm to form a temperature matrix; S6.5 Temperature Field Visualization and Rendering: Convert the temperature matrix obtained in S6.4 into a visualized temperature field distribution map; S6.6. Based on the generated overall temperature field, automatically identify global hotspots and high-risk areas; where global hotspots represent the highest temperature points; and high-risk areas represent areas with high temperatures and large temperature gradients.

[0016] The second objective of this invention is to provide a marine battery pack temperature field detection system for implementing the aforementioned marine battery pack temperature field detection method, comprising: A sensor array, configured as detection points distributed across each cell of the marine battery pack, is used to collect temperature information; The data acquisition module is electrically connected to the sensor array and is configured to poll and select the sensor array by region according to a preset period and perform signal conversion. The main control processor, which is communicatively connected to the data acquisition module, is configured to perform the following operations: Control the polling and gating order of the data acquisition module; Receive and process temperature data; The battery pack is divided into several temperature sensing zones based on thermal coupling characteristics; Calculate the temperature parameters of each battery cell and each temperature sensing area and make a judgment on thermal anomalies. Based on the temperature data of each temperature sensing area, the overall temperature field of the battery pack is reconstructed through spatial interpolation. The output module, which is connected to the main control processor, is configured to visually output the overall temperature field, risk area outline, and overheating trend information of the battery pack.

[0017] Preferably, the data acquisition module includes: Multiple temperature acquisition units, each of which is used to acquire the temperature of the marine battery pack within the corresponding temperature sensing area; An analog switch circuit has its input terminal connected to multiple temperature acquisition units and its output terminal connected to the ADC pin of the main control processor. The analog switch circuit is controlled by the main control processor and is used to select a single temperature acquisition unit to be connected to the ADC loop according to the address code.

[0018] The beneficial effects of this invention are: the marine battery pack temperature field detection method, electronic equipment, and storage medium, by setting multiple detection points at specific locations on each battery cell, not only form an information array that can truly reflect the three-dimensional thermal distribution of the battery cell in space, but also greatly enhance the redundancy and reliability of data under ship vibration environments. Even if individual sensors fail due to vibration, the system can still estimate through data interpolation from the remaining points, ensuring the robustness of the system.

[0019] By dividing the area based on thermal coupling characteristics and collecting data in a polling manner within that area, the thermophysical properties of the marine battery pack itself are cleverly utilized, greatly reducing the need for the number of ADC channels. By multiplexing analog switches, the system complexity and cost are reduced, while ensuring the synchronization of data acquisition within the same area. This provides a high-quality data foundation for subsequent local diagnosis and full-field reconstruction. In view of the special constraints of the shipborne system, efficient data acquisition under limited resources is achieved.

[0020] By calculating multi-dimensional parameters such as maximum temperature difference, electrode temperature difference, and front and back temperature difference for comprehensive judgment, it is possible to identify potential faults that cannot be detected by a single temperature value from different physical levels, realizing a leap from monitoring temperature to diagnosing status, and greatly improving the accuracy and foresight of early warning. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a system block diagram of the present invention; Figure 2 This is a structural block diagram of the battery pack of the present invention; Figure 3 This is a schematic diagram of the battery cell detection point location of the present invention; Figure 4 This is a circuit diagram of the temperature acquisition module of the present invention. Detailed Implementation

[0022] Example 1 like Figure 1 As shown, a method for detecting the temperature field of a marine battery pack specifically includes the following steps: S1. Determine the temperature monitoring points on each battery cell in the marine battery pack. Each battery cell should have at least 8 monitoring points. For example... Figure 3 As shown, the front and back of the battery cell are used as testing surfaces. Each testing surface has three testing points located at the top, middle and bottom. The two tabs of the battery cell are also used as testing points, for a total of 8 testing points.

[0023] Specifically, the temperature markings at the top, middle, and bottom of the three detection points on the front of the battery cell are as follows: , , The temperature markings at the top, middle, and bottom of the three detection points on the back of the battery cell are respectively , , The temperature marking of the left tab detection point of the battery cell is as follows: The temperature marking of the right electrode detection point of the battery cell is as follows: .

[0024] It should be noted that the three detection points on the battery cell detection surface are located on the diagonal lines of the battery cell plane, and the diagonal positions formed by the three detection points on the front of the battery cell and the three detection points on the back of the battery cell are staggered.

[0025] By setting up eight detection points in three-dimensional space, a multi-dimensional temperature acquisition array is constructed. On the one hand, this structure can accurately reproduce the thermal distribution state on the surface of the battery cell, reflecting the potential heat accumulation and heat conduction trends inside the battery cell. On the other hand, by combining synchronously acquired data from similar points on multiple battery cells, the overall temperature field distribution image of the battery pack can be reconstructed through spatial interpolation. This improves the ability to identify local hot spots, tab anomalies, and thermal runaway initiation zones, providing reliable support for intelligent thermal management of marine battery systems.

[0026] S2. Based on the thermal coupling characteristics of the marine battery pack, the pack is divided into several temperature sensing zones, each containing multiple battery cells. Thermal coupling originally refers to the mutual influence between multiple heat sources during heat transfer. In a battery system, this manifests as the heating behavior of one battery cell affecting the temperature changes of surrounding cells through physical contact, structural support, and heat dissipation paths. Specifically, the factors influencing the temperature between battery cells in a battery system include: (1) Thermal conductivity of the material at the contact surface; (2) Battery cell arrangement structure (e.g., horizontal / vertical arrangement); (3) Heat dissipation channel layout (such as airflow direction and cold plate arrangement); (4) Whether there are heat insulation / thermal conductive materials between the battery cells; (5) Local airflow disturbance.

[0027] like Figure 2 As shown, in this embodiment, a marine battery pack contains 40 battery cells arranged in a 4-cell configuration. 10. Considering the close contact and rapid heat transfer between battery cells in each row, and the presence of supports or insulators between different rows, the thermal coupling between battery cells in the same row is strong, while the thermal coupling between battery cells in different rows is weak. Therefore, the battery cells in the same row are set as a temperature sensing area for zoned judgment and zoned early warning.

[0028] S3. Poll the temperature information of the detection points on the battery cell in each temperature sensing area according to the preset cycle, and record the location information.

[0029] like Figure 1 , Figure 3 , Figure 4 As shown, in order to collect temperature information at various detection points on the battery cell, a temperature acquisition module is configured, including an NTC sensor and a protection resistor. The NTC sensor is configured at the detection point of the battery cell, and the protection resistor is connected in series with the NTC sensor for overcurrent protection of the NTC sensor to avoid current overload on the NTC sensor.

[0030] Specifically, such as Figure 1 As shown, the main control processor is connected to the temperature acquisition module via an analog switch circuit. Considering the limited number of ADC pins on the main control processor, channel selection is performed using the analog switch circuit. The corresponding detection point is selected based on the channel address code, forming a structure where a single ADC pin on the main control processor connects to multiple detection points. This allows for the sequential acquisition of temperature information from multiple detection points on the battery cell, achieving functional multiplexing of the ADC pins on the main control processor. Simultaneously, in each sampling round, only one detection point is connected to one ADC pin, ensuring clean and accurate single-channel sampling. Furthermore, the analog switch circuit can precisely control the on / off state of each sampling channel, preventing voltage interference caused by multiple NTC sensors connected in parallel, thus improving temperature measurement accuracy.

[0031] In addition, corresponding control strategies are set to optimize the switching sequence of the analog switching circuit and change the sampling order of each detection point on the battery cell to obtain more reasonable spatial temperature distribution data. Among them, priority is given to the acquisition of temperature information from adjacent detection points.

[0032] S4. Calculate the temperature parameters of each battery cell within the current temperature sensing area, and determine the local thermal anomaly of each battery cell.

[0033] This includes the maximum temperature difference, average temperature, front / back temperature difference, detection surface temperature difference, and left / right electrode temperature difference.

[0034] Maximum temperature difference: This reflects the greatest difference in temperature distribution within the battery cell and is used to measure whether the temperature inside the cell is uniform. The calculation formula is: . Exceeding the threshold indicates that the heat dissipation effect of the battery cell is poor, with local hot spots or serious overheating of the tabs. At this time, the battery cell is judged to be an abnormal unit.

[0035] Average temperature: Reflects the overall temperature level of the battery cell. The calculation formula is:

[0036] Front / Back Temperature Difference: This reflects the temperature difference between the front and back of the battery cell, indicating whether heat conduction is even. The calculation formula is:

[0037] Temperature difference on the detection surface: The temperature gradient between the top and bottom of the same detection surface, used to determine whether there is blockage in the vertical heat flow channels inside the battery cell. The formula for calculating the front-side temperature difference is: The formula for calculating the temperature difference on the back side is: .

[0038] Left / Right Electrode Temperature Difference: Used to determine if there is an asymmetry between the left and right electrodes. The calculation formula is: .

[0039] S5. Record the judgment result of the current temperature sensing area and switch to the temperature information collection of the next temperature sensing area.

[0040] When the proportion of abnormal battery cells in the temperature sensing area reaches a threshold, the temperature sensing area is determined to be an abnormal area.

[0041] S6. Based on the temperature data of each temperature sensing area, construct an overall temperature field distribution map of the marine battery pack.

[0042] This method is used to fuse data from various discrete temperature sensing areas, and through spatial interpolation and modeling, generate a continuous and intuitive overall temperature field distribution map of the battery pack. The specific steps are as follows: S6.1 Data Preparation and Normalization: The system collects raw data from all temperature sensing areas in a polling manner. Each data point includes: battery cell number, detection point number (T1-T8), temperature value, and collection timestamp.

[0043] The data is cleaned and verified to remove obvious outliers caused by communication interference (such as instantaneous jumps to maximum / minimum values).

[0044] All regional data collected within the same time period are time-aligned to ensure that the constructed temperature field is a snapshot of the same moment.

[0045] S6.2 Calculation of representative regional temperature: For each temperature sensing region (i.e., a column of battery cells), the average temperature and the highest temperature of that region are calculated. The output is a data structure containing the spatial location of each region (e.g., column number) and its corresponding representative temperature value.

[0046] Specifically, the regional average temperature is the average temperature of all monitoring points for all battery cells within that region. This value represents the overall heat load level of the region.

[0047] The highest temperature in the area is the maximum temperature among all monitoring points within that area. This value is used to identify the hottest spot in the area.

[0048] S6.3 Spatial Grid Mapping: Based on the physical layout of the battery pack, a two-dimensional or three-dimensional spatial mesh model is created. Each mesh node corresponds to a physical location.

[0049] The representative temperature value of each temperature sensing area calculated in S6.2 is assigned to all grid nodes within the physical space covered by that area. For example, the average temperature value of the area in column 3 is assigned to the group of grid nodes representing the locations of all battery cells in column 3.

[0050] S6.4 Spatial Interpolation Reconstruction: Because of thermal coupling between regions, the temperature field is continuous, not just block-uniform. Therefore, a spatial interpolation algorithm is needed. Specifically, bilinear interpolation, kriging interpolation, or interpolation based on the heat conduction model can be selected according to the actual situation. Based on the known temperature values ​​of the grid nodes (each region), the temperature values ​​of all unknown points in the entire package are calculated.

[0051] It is important to note that the interpolation logic must consider thermal coupling characteristics: the temperature transition between adjacent regions should be smooth; given the relatively weak thermal coupling between different columns, the interpolation algorithm should reflect this abruptness rather than simply providing linear smoothness. Specifically, this can be achieved by setting different interpolation weights based on the thermal conductivity of the insulating material between adjacent regions or by using an anisotropic interpolation model.

[0052] Through interpolation, a continuous temperature matrix covering the entire battery pack space is finally generated, where each point has an estimated temperature value.

[0053] In the process of spatial interpolation reconstruction, it is innovative to propose that the strength of thermal coupling characteristics between regions should be considered to guide the interpolation algorithm. Anisotropic interpolation models or differentiated weights are adopted according to specific needs. This makes the reconstructed overall temperature field not only continuous and smooth, but also more accurately reflects the real thermal boundary inside the battery pack, which significantly improves the simulation accuracy and meets the real-time requirements of shipborne BMS.

[0054] S6.5 Temperature Field Visualization and Rendering: Convert the temperature matrix obtained in S6.4 into a visualized temperature field distribution map.

[0055] S6.6 Hotspot and Gradient Analysis: Based on the generated overall temperature field, global hotspots and high-risk areas are automatically identified. Global hotspots represent the points with the highest temperatures, while high-risk areas represent regions with high temperatures and large temperature gradients.

[0056] The maximum temperature difference and average temperature gradient within the entire pack are calculated; these macroscopic parameters are used to assess the overall thermal state of the battery pack.

[0057] S7 provides visual output of the overall temperature distribution map of marine battery packs, risk area outlines, overheating trend maps, etc.

[0058] Example 2 A marine battery pack temperature field detection system is provided to implement the marine battery pack temperature field detection method as described in Embodiment 1, comprising a sensor array, a data acquisition module, a main control processor, and an output module.

[0059] The sensor array is configured to be distributed on each cell of the marine battery pack for collecting temperature information. Specifically, each cell has at least 8 detection points, each detection point is equipped with an NTC sensor, and multiple NTC sensors form a sensor array.

[0060] The data acquisition module is electrically connected to the sensor array and is configured to poll the sensor array by region according to a preset period and perform signal conversion.

[0061] The data acquisition module includes multiple temperature acquisition units and an analog switch circuit. The temperature acquisition units are used to acquire the temperature of multiple marine battery packs within a corresponding temperature sensing area. The input terminal of the analog switch circuit is connected to the multiple temperature acquisition units, and the output terminal is connected to the ADC pin of the main control processor. The analog switch circuit is controlled by the main control processor and is used to select a single temperature acquisition unit to connect to the ADC loop according to its address code.

[0062] The main control processor is communicatively connected to the data acquisition module and is configured to perform the following operations: control the polling and gating order of the data acquisition module; receive and process temperature data; divide the battery pack into several temperature sensing areas according to thermal coupling characteristics; calculate the temperature parameters of each battery cell and each temperature sensing area and perform thermal anomaly judgment; reconstruct the overall temperature field of the battery pack through spatial interpolation based on the temperature data of each temperature sensing area. The output module is connected to the main control processor and is configured to visually output the overall temperature field, risk area outline and overheating trend information of the battery pack.

[0063] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for detecting a temperature field of a marine battery pack, characterized in that, The method comprises the following steps: S1, determining the detection points for collecting temperature on each battery cell in the marine battery pack; S2, dividing the marine battery pack into a plurality of temperature sensing areas according to the thermal coupling characteristics of the marine battery pack, each temperature sensing area comprising a plurality of battery cells; S3, polling the temperature information of the detection points on the battery cells in each temperature sensing area at a preset period, and recording the position information; S4, calculating the temperature parameters of each battery cell in the current temperature sensing area, and performing local thermal anomaly judgment on each battery cell; S5, recording the judgment result of the current temperature sensing area, and switching to the temperature information collection of the next temperature sensing area; S6, constructing the overall temperature field distribution map of the marine battery pack according to the temperature data of each temperature sensing area; S7, visualizing and outputting the overall temperature distribution map of the marine battery pack, the risk area contour, and the overheating trend chart.

2. The marine battery pack temperature field detection method according to claim 1, characterized in that, Each battery cell comprises at least 8 detection points, the front and back surfaces of the battery cell are used as detection surfaces, each detection surface is provided with three detection points located at the upper, middle and lower positions, and the two lug positions of the battery cell are used as detection points, a total of 8 detection points.

3. The marine battery pack temperature field detection method according to claim 2, characterized in that, The three detection points on the detection surface of the battery cell are located on the diagonal lines of the battery cell plane, and the diagonal lines formed by the three detection points on the front surface of the battery cell and the diagonal lines formed by the three detection points on the back surface of the battery cell are staggered.

4. The marine battery pack temperature field detection method of claim 1, wherein, The temperature information of each detection point on the battery cell is collected by a temperature collection module, the temperature collection module comprises an NTC sensor and a protection resistor, the NTC sensor is arranged at the detection point of the battery cell, and the protection resistor is connected in series with the NTC sensor.

5. The marine battery pack temperature field detection method of claim 1, wherein, The temperature parameters include maximum temperature difference, average temperature, front / back surface temperature difference, detection surface temperature difference, and left / right lug temperature difference.

6. The marine battery pack temperature field detection method according to claim 5, characterized in that, The maximum temperature difference calculation formula is: ; The average temperature calculation formula is: The front / back surface temperature difference calculation formula is: The detection surface temperature difference calculation formula is: ; The left / right tab temperature difference calculation formula is: .

7. The marine battery pack temperature field detection method of claim 1, wherein, The specific steps of the step S6 are as follows: S6.1, data preparation and normalization: collecting the original data collected by polling all temperature sensing areas, cleaning and verifying the data, eliminating invalid data, and aligning all area data collected in the same time period in time; S6.2, calculation of representative temperature of area: calculating the area average temperature and the area maximum temperature of each temperature sensing area; S6.3, space grid mapping: according to the physical layout of the battery pack, a two-dimensional or three-dimensional space grid model is established, each grid node corresponds to a physical position, and the calculation results in S6.2 are assigned to all grid nodes in the physical space range covered by the corresponding temperature sensing area; S6.4, spatial interpolation reconstruction: according to the temperature values of the known network nodes, the temperature values of all unknown points in the entire battery pack are calculated through a spatial interpolation algorithm to form a temperature matrix; S6.5, temperature field visualization rendering: converting the temperature matrix obtained in S6.4 into a visual temperature field distribution map; S6.6, based on the generated overall temperature field, automatically identifying global hot spots and high-risk areas; wherein the global hot spot represents the highest temperature point; the high-risk area represents the area with high temperature and large gradient.

8. The marine battery pack temperature field detection method according to claim 7, characterized in that, The spatial interpolation algorithm comprises one or more of bilinear interpolation and Kriging interpolation.

9. A marine battery pack temperature field detection system characterized by, A method for detecting temperature field of a marine battery pack according to any one of claims 1-8, comprising: a sensor array configured to be distributed at detection points of each battery cell of the marine battery pack for collecting temperature information; a data acquisition module electrically connected with the sensor array and configured to poll the sensor array by area in a preset period and perform signal conversion; a main control processor communicatively connected with the data acquisition module and configured to perform the following operations: controlling polling sequence of the data acquisition module; receiving and processing temperature data; dividing the battery pack into several temperature sensing areas according to thermal coupling characteristics; calculating temperature parameters of each battery cell and each temperature sensing area and performing thermal abnormality judgment; reconstructing overall temperature field of the battery pack by spatial interpolation according to temperature data of each temperature sensing area; an output module connected with the main control processor and configured to visually output the overall temperature field of the battery pack, risk area contour and overheating trend information.

10. The marine battery pack temperature field detection system of claim 9, wherein, The data acquisition module comprises: a plurality of temperature acquisition units, each temperature acquisition unit being configured to collect temperature of the marine battery pack in a corresponding temperature sensing area; an analog switch circuit having an input end connected with the plurality of temperature acquisition units and an output end connected with an ADC pin of the main control processor, the analog switch circuit being controlled by the main control processor and configured to select a single temperature acquisition unit to access an ADC loop according to address coding.

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