Method for designing forced air cooling battery system box with IP67 protection level

Abstract

The invention relates to the field of thermal management of battery systems, in particular to a design method of a forced air cooling battery system box with an IP67 protection grade. The method comprises the following steps: acquiring temperature sensor data of a battery module, and carrying out temperature change monitoring to obtain real-time temperature distribution; obtaining a temperature data sequence of each battery module from the sensor network, carrying out temperature difference analysis, and determining the position of the module with uneven heat dissipation; processing the temperature data, generating wind speed adjusting parameters, and dynamically adjusting the wind speed and the airflow path of the air cooling system; and based on the multi-physical field simulation result and the temperature data, optimizing the heat dissipation and protection structure of the battery box body, and generating an updated heat dissipation optimization scheme. On the premise of ensuring the IP67 protection level, the heat dissipation performance of the battery system can be optimized, the problems of uneven heat dissipation and local overheating are avoided, and the reliability and safety of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of thermal management of battery systems, and in particular to a design method for a box of a forced air-cooled battery system with an IP67 protection level. Background Art

[0002] With the widespread application of battery technology, especially in high-power devices such as electric vehicles and energy storage systems, thermal management of battery systems has become a key factor affecting their performance, life and safety. Traditional battery systems rely on natural heat dissipation or simple air cooling, but in high-power environments, these methods often fail to meet heat dissipation requirements, resulting in significant temperature differences between battery modules, which in turn causes local overheating problems. Local overheating not only reduces the overall performance of the battery, but can also lead to safety hazards, such as battery overheating failure or fire risks.

[0003] To ensure the safety of the battery system under high-load working environment, many application scenarios require the battery box to have a higher protection level, such as IP67 protection level, to prevent water, dust and other factors in the external environment from affecting the battery system. However, how to achieve uniform heat dissipation of the battery module through the air cooling system while maintaining the IP67 protection level is still an important technical challenge in the current battery system design.

[0004] In the prior art, there is often a contradiction between the IP67 protection level and efficient heat dissipation. Since the air cooling system requires strong air circulation, it is easy to affect the sealing of the protection level; while maintaining the sealing, the traditional air duct design is difficult to ensure uniform heat dissipation of each battery module, resulting in uneven temperature distribution inside the system. Therefore, there is an urgent need for a technical solution that can optimize the air duct design and heat dissipation management while maintaining a high protection level, so as to solve the problems of uneven heat dissipation and local overheating between battery modules. Summary of the invention

[0005] The present invention provides a method for designing a forced air-cooled battery system box with an IP67 protection level, so as to solve the problem of uneven heat dissipation and local overheating between battery modules by using an air-cooling system under the condition of having an IP67 protection level.

[0006] In order to solve the above technical problems, the present invention provides a method for designing a box of a forced air-cooled battery system with an IP67 protection level, comprising: Obtain the temperature sensor data of the battery module, monitor the temperature changes, and obtain the real-time temperature distribution; Acquire a temperature data sequence of each battery module from the sensor network, perform temperature difference analysis, and obtain a location of a module with uneven heat dissipation; Processing the temperature data sequence to generate corresponding wind speed adjustment parameters, and dynamically adjusting the wind speed and airflow path of the air cooling system according to the parameters; Based on the multi-physics field simulation results and the real-time temperature distribution, the heat dissipation and protection structure design of the battery box are optimized to generate an updated heat dissipation optimization solution.

[0007] Furthermore, the temperature sensors are evenly distributed at key positions of the battery module to cover various heat source points.

[0008] Furthermore, the temperature data is transmitted to a central processing unit through a sensor network, and the central processing unit performs normalization processing on the temperature data.

[0009] Furthermore, the normalization process includes classifying and normalizing the temperature data of different sensors according to the sensor positions and times.

[0010] Furthermore, the wind speed adjustment parameter is generated according to the temperature difference of each battery module, and is combined with the air cooling system control module to dynamically adjust the wind speed in the air duct.

[0011] Furthermore, the air duct layout adjusts the wind speed according to the temperature difference of each battery module to generate an air duct optimization solution.

[0012] Furthermore, the multi-physics field simulation results include simulation data of airflow field, heat conduction and heat dissipation efficiency.

[0013] Furthermore, the analysis results of the temperature data sequence are used to optimize the air duct design in the air cooling system.

[0014] Furthermore, the adjusted air cooling system redistributes the airflow according to the optimized air duct design.

[0015] Furthermore, the design of the protection structure optimizes the heat dissipation layout while maintaining the IP67 protection level of the battery box.

[0016] The key innovative features of the present invention include: (1) Combination of temperature monitoring and dynamic adjustment: The present invention uses a temperature sensor network to monitor the temperature changes of the battery module in real time, combines temperature difference analysis to generate wind speed adjustment parameters, and dynamically adjusts the wind speed and air flow path of the air cooling system to ensure balanced temperature distribution and avoid uneven heat dissipation.

[0017] (2) Combination of multi-physics field simulation and heat dissipation optimization: Based on the results of multi-physics field simulation, the present invention optimizes and adjusts the air duct layout and heat dissipation structure of the battery box to ensure a reasonable distribution of the air flow path and improve the heat dissipation efficiency without affecting the IP67 protection level.

[0018] (3) Combination of IP67 protection level and efficient heat dissipation: While maintaining the IP67 protection level, the present invention achieves efficient heat dissipation by optimizing the design of the air cooling system, which has significant advantages in battery systems with high sealing requirements.

[0019] The following are its main beneficial effects: The present invention provides a method for designing a box for a forced air-cooled battery system with an IP67 protection level. The method realizes uniform heat dissipation of the temperature in the battery module through steps such as real-time temperature monitoring, temperature difference analysis, multi-physics field simulation, and dynamic wind speed adjustment. Compared with traditional heat dissipation designs, the present invention uses multi-point sensor monitoring and real-time feedback to accurately obtain the temperature distribution of the battery module, and combined with dynamic wind speed adjustment, it can effectively avoid uneven heat dissipation and local overheating problems between modules. In addition, the air duct design combines multi-physics field simulation to ensure that the airflow path and wind speed of the air-cooled system are adjusted according to real-time needs, achieving more efficient heat dissipation performance and optimizing the box structure without affecting the IP67 protection level.

[0020] Compared with traditional designs, this method solves the problem of achieving efficient heat dissipation in a sealed environment by integrating an efficient forced air cooling system in a battery box with an IP67 protection level. It also adapts to the heat dissipation requirements under different working conditions through dynamic air duct adjustment, thereby improving the reliability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of a flow chart of a method for designing a box of a forced air-cooled battery system with an IP67 protection level provided in an embodiment of the present application; Figure 2 A structural block diagram of a method for designing a forced air-cooled battery system box with an IP67 protection level provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0023] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments. Embodiment 1

[0024] Reference Figure 1 , is a flow chart of a method for designing a forced air-cooled battery system box with an IP67 protection level provided by an embodiment of the present invention. The process may at least include steps S100-S400: S100, obtaining temperature sensor data of the battery module, monitoring temperature changes, and obtaining real-time temperature distribution; S200, acquiring a temperature data sequence of each battery module from the sensor network, performing temperature difference analysis, and obtaining a location of a module with uneven heat dissipation; S300, processing the temperature data sequence to generate corresponding wind speed adjustment parameters, and dynamically adjusting the wind speed and airflow path of the air cooling system according to the parameters; S400: Based on the multi-physics field simulation results and the real-time temperature distribution, the heat dissipation and protection structure design of the battery box are optimized to generate an updated heat dissipation optimization solution.

[0025] Step S100 at least includes steps S110-S130: S110, acquiring temperature sensor data of the battery module, monitoring temperature changes, and obtaining real-time temperature distribution.

[0026] Specifically, in step S110, a plurality of temperature sensors are distributed in the battery module, each of which has a Evenly arranged at key locations of the battery module to ensure coverage of the heat source points inside each module. Temperature sensor (t) Continuously collect the temperature of each location, record the temperature data at each time t, and transmit these data to the central processing unit in real time through the sensor network. The input raw data is the temperature sequence measured by the sensor (t), where i represents the sensor number and t represents time. The transmitted data set { (t), (t),…, (t)} will be used for subsequent normalization processing to ensure that the temperature data at different times and locations are consistent and without omissions.

[0027] S120: classify and normalize the acquired temperature data according to sensor positions and time.

[0028] In step S120, the central processing unit receives sensor data { (t), (t),…, (t)}, first according to the physical location of each sensor The system then normalizes the temperature data to ensure that the differences in measurement accuracy between different sensors are eliminated. (t), the normalized formula is:

[0029] in, (t) is the normalized temperature data; is the lowest temperature measured in the time series data of all sensors; is the highest temperature measured.

[0030] Through normalization, all sensor data are unified into a standardized temperature range (t) Ensure that data is consistent across regions and time periods to facilitate subsequent data analysis and processing.

[0031] S130: Analyze the processed temperature data to generate a real-time temperature distribution diagram of the battery module.

[0032] In step S130, the system uses the normalized temperature data (t) Generate a real-time temperature distribution map of the battery module. Specifically, the system generates a real-time temperature distribution map of the battery module based on the physical location of the sensor. The discrete temperature data is projected onto the three-dimensional space of the battery module to generate a continuous temperature distribution function T'(x,y,z,t), where x,y,z are the spatial coordinates of the battery module and t is time.

[0033] The interpolation method uses bilinear interpolation or cubic spline interpolation to ensure that the temperature data has a continuous transition in space between sensors. The generated temperature distribution diagram T'(x, y, z, t) can clearly show the temperature changes inside the battery system and provide a basis for subsequent temperature control adjustments.

[0034] Furthermore, the system stores the generated temperature distribution data in a central database to provide persistent data storage for the next step of analysis. The T'(x, y, z, t) data in this step will be used for temperature difference analysis in S200 to further identify areas of uneven heat dissipation by comparing the temperature distribution between different modules.

[0035] Step S200 at least includes steps S210-S230: S210 , extracting a temperature data sequence of each battery module from the sensor network to generate a temperature change sequence of each module.

[0036] In step S210, the system extracts the temperature distribution data T'(x, y, z, t) corresponding to each battery module from the temperature distribution data T'(x, y, z, t) generated in step S130. Temperature data related to each module. ( , , ), the system extracts the temperature data sequence corresponding to the location (t), where k represents the number of the battery module and t is the time point.

[0037] Specifically, the system obtains the temperature data of each module from the sensor network and arranges it in chronological order to form a time series:

[0038] in (t) is the battery module Temperature variation sequence at different time t. This time series shows the temperature variation of the battery module at different time points and provides basic data input for subsequent temperature difference analysis.

[0039] S220 , performing temperature difference analysis on the temperature data sequences of the respective battery modules, and identifying the modules with uneven temperature distribution by calculating the temperature difference between the modules.

[0040] In step S220, the system calculates the temperature sequence of each battery module obtained from step S210. (t) Perform difference analysis. Specifically, the system compares the temperature sequences of two adjacent battery modules and calculates the temperature difference Δ between the modules. (t), the formula is as follows:

[0041] Among them, Δ (t) is the module and modules The temperature difference at time t; (t) and (t) is the corresponding module and Temperature value at time t.

[0042] The system collects statistics on the temperature difference data at different times t and further calculates the average temperature difference over time.

[0043]

[0044] Where T is the length of the time period analyzed, For modules and The average temperature difference over the entire time period T.

[0045] S230. Based on the temperature difference analysis, mark the battery module locations with uneven heat dissipation, and provide the information to the control system.

[0046] In step S230, the system identifies those battery modules that have a large temperature difference with adjacent modules based on the temperature difference analysis results in S220. Exceeding the preset threshold The system marks the module as a module with uneven heat dissipation.

[0047] Specifically, the system generates an uneven heat dissipation marking matrix D(x,y,z), which corresponds to the three-dimensional coordinate system x,y,z of the battery module, where D(x,y,z)=1 indicates that the module at that position has an uneven heat dissipation problem, and D(x,y,z)=0 indicates that the module at that position has uniform heat dissipation.

[0048] The system provides the marked uneven heat dissipation module information D(x,y,z) to the central control system, and the subsequent steps will adjust the wind speed and airflow path of the air cooling system according to these marks to optimize the heat dissipation effect. The marked data D(x,y,z) will be used in step S300 to generate appropriate wind speed adjustment parameters to ensure that the high temperature area can be cooled first.

[0049] Step S300 at least includes steps S310-S330: S310: Process the temperature data sequence to generate corresponding wind speed adjustment parameters.

[0050] In step S310, the system first uses the uneven heat dissipation position data D(x,y,z) marked in step S230 and combines it with the temperature distribution data T'(x,y,z,t) obtained from step S130. Based on these inputs, the system converts the temperature data sequence With preset temperature threshold Compare and calculate the temperature difference requirements of each battery module to generate the corresponding wind speed adjustment parameters (t), where i represents the i-th battery module.

[0051] Specifically, the wind speed adjustment parameter The calculation formula of (t) is as follows:

[0052] in, (t) is the wind speed adjustment parameter of the ith battery module at time t; k is the wind speed adjustment coefficient of the system, which is used to adjust the wind speed according to actual needs; (t) is the normalized temperature value of the i-th module at time t; It is the heat dissipation temperature threshold set by the system.

[0053] For modules with higher temperatures (t)> , wind speed adjustment parameters (t) will increase, and the system will provide a higher wind speed for the module. For modules with lower temperatures, the wind speed will be reduced accordingly to achieve effective heat dissipation regulation.

[0054] S320, transmitting the generated wind speed adjustment parameter to the air cooling system controller to dynamically adjust the wind speed of each air duct in the air cooling system.

[0055] In step S320, the system calculates the wind speed adjustment parameter (t) is transmitted to the controller of the air cooling system. Specifically, the controller determines the wind speed requirement of each battery module. (t), adjust the fan speed and air duct flow in the air cooling system in real time.

[0056] The controller will set the wind speed of each air duct Adjusted to:

[0057] in, represents the wind speed of the jth air duct at time t; f( (t)) is based on the wind speed adjustment parameter (t), the specific correspondence between wind speed and adjustment parameters is determined by the fluid mechanics model of the system. (t) The data is sent to multiple air duct control points in the air cooling system to dynamically adjust the output of the fan.

[0058] S330, continuously monitor and adjust the airflow path of the air cooling system according to the real-time temperature data and the adjusted wind speed parameters.

[0059] In step S330, the air cooling system will (t) and adjusted wind speed parameters (t), continuously monitors the effect of the airflow path. By continuously receiving new temperature data, the air cooling system will analyze the cooling effect of each module in real time and dynamically update the wind speed through the following formula (t):

[0060] in, It is the optimal temperature value set by the system according to the heat dissipation requirements; α is the adjustment step coefficient, which is used to control the response speed of wind speed changes.

[0061] The controller of the air cooling system will adjust the speed according to the new wind speed. (t+1) The airflow path is adjusted again, with the cooling air volume being directed to the high-temperature area first, and the overall air duct distribution is optimized through the fluid mechanics model to ensure a more balanced temperature distribution throughout the battery module.

[0062] Step S400 at least includes steps S410-S430: S410. Combine the multi-physics field simulation results with the real-time temperature data to comprehensively evaluate the heat dissipation and protection design of the current battery box.

[0063] In step S410, the system first combines the multi-physics simulation results with the previously obtained battery module temperature distribution data T'(x, y, z, t). Specifically, the multi-physics simulation results F(x, y, z) include data such as airflow, heat conduction, and heat dissipation efficiency, and describe the heat conduction and heat dissipation conditions at different locations inside the battery box. The system compares the real-time temperature distribution T'(x, y, z, t) with the simulation data F(x, y, z) to comprehensively analyze the heat dissipation efficiency of the current battery box.

[0064] The system calculates the temperature difference (x,y,z) to evaluate the effectiveness of the current thermal design:

[0065] Where: T'(x,y,z, ) is the actual running time The real-time temperature distribution under the simulation model; F(x,y,z) is the temperature distribution predicted by the simulation model. The value of (x, y, z) determines whether the current design meets the heat dissipation requirements. (x,y,z) exceeds the threshold in multiple regions , it is believed that the current heat dissipation design needs to be further optimized.

[0066] S420. Based on the evaluation results, adjust the heat dissipation structure of the battery box, optimize the air duct layout, and redesign the protective structure.

[0067] In step S420, based on the temperature difference evaluation result in step S410, (x, y, z), the system adjusts the heat dissipation and protection structure of the battery box. First, the system will focus on the areas with uneven heat dissipation, that is, the parts with large temperature differences, and optimize the air duct layout in these areas.

[0068] Specifically, the system will readjust the air duct design based on the airflow field data in the simulation result F(x,y,z) so that the airflow can flow preferentially through the area with higher temperature. The adjusted air duct layout can be expressed as:

[0069] Where: v'(x,y,z) is the adjusted air duct air velocity distribution; (x, y, z) is the original air velocity in the duct; (f(·) is the function that adjusts the wind speed according to the temperature difference.

[0070] At the same time, the system will redesign the protection structure in combination with the protection requirements of the battery box to ensure effective heat dissipation while maintaining the IP67 protection level. This includes the optimization of the sealing structure, heat dissipation materials, etc.

[0071] S430. Implement the updated heat dissipation optimization solution, monitor temperature changes during system operation, and provide continuous data feedback.

[0072] In step S430, the system applies the heat dissipation optimization solution v'(x,y,z) designed in the previous step to the actual system and starts to monitor temperature changes in real time. The temperature sensor network will continue to collect real-time temperature data T''(x,y,z,t) of each module and feed it back to the control system.

[0073] The system will continuously evaluate the effect of the heat dissipation optimization solution based on the comparison of real-time feedback data T''(x,y,z,t) and multi-physics field simulation data F(x,y,z). The temperature difference evaluation formula under real-time monitoring is as follows:

[0074] By comparing the real-time temperature difference Δ (x,y,z,t) and preset threshold Δ , the system can further adjust the air duct design and airflow path when necessary to ensure that the system's heat dissipation effect and protection performance can adapt to actual operating requirements. The system will store the updated feedback data in the central database for further optimization and analysis.

[0075] The key innovative features of the present invention include: (1) Combination of temperature monitoring and dynamic adjustment: The present invention uses a temperature sensor network to monitor the temperature changes of the battery module in real time, combines temperature difference analysis to generate wind speed adjustment parameters, and dynamically adjusts the wind speed and air flow path of the air cooling system to ensure balanced temperature distribution and avoid uneven heat dissipation.

[0076] (2) Combination of multi-physics field simulation and heat dissipation optimization: Based on the results of multi-physics field simulation, the present invention optimizes and adjusts the air duct layout and heat dissipation structure of the battery box to ensure a reasonable distribution of the air flow path and improve the heat dissipation efficiency without affecting the IP67 protection level.

[0077] (3) Combination of IP67 protection level and efficient heat dissipation: While maintaining the IP67 protection level, the present invention achieves efficient heat dissipation by optimizing the design of the air cooling system, which has significant advantages in battery systems with high sealing requirements.

[0078] The following are its main beneficial effects: The present invention provides a method for designing a box for a forced air-cooled battery system with an IP67 protection level. The method realizes uniform heat dissipation of the temperature in the battery module through steps such as real-time temperature monitoring, temperature difference analysis, multi-physics field simulation, and dynamic wind speed adjustment. Compared with traditional heat dissipation designs, the present invention uses multi-point sensor monitoring and real-time feedback to accurately obtain the temperature distribution of the battery module, and combined with dynamic wind speed adjustment, it can effectively avoid uneven heat dissipation and local overheating problems between modules. In addition, the air duct design combines multi-physics field simulation to ensure that the airflow path and wind speed of the air-cooled system are adjusted according to real-time needs, achieving more efficient heat dissipation performance and optimizing the box structure without affecting the IP67 protection level.

[0079] Compared with traditional designs, this method solves the problem of achieving efficient heat dissipation in a sealed environment by integrating an efficient forced air cooling system in a battery box with an IP67 protection level. It also adapts to the heat dissipation requirements under different working conditions through dynamic air duct adjustment, thereby improving the reliability and safety of the system.

[0080] Embodiment 2 Figure 2 The structural block diagram of a method for designing a forced air-cooled battery system box with an IP67 protection level according to an embodiment of the present invention is shown. Figure 2 As shown, the structure may include: The temperature data acquisition module 10 is used to obtain real-time temperature data from multiple temperature sensors in the battery module. Each sensor is evenly distributed in key positions in the battery module to ensure that all heat sources are covered. The sensor data is transmitted to the central processing unit through the sensor network for subsequent analysis and processing. The data collected by this module includes time series (t), where represents the temperature data of the i-th sensor, and t is the time.

[0081] The temperature data processing and analysis module 20 is used to classify and normalize the collected temperature data. The data from different regions and time periods are processed in a consistent manner to ensure the validity and consistency of the data. (t) is further used to generate a real-time temperature distribution diagram of the battery module. The system generates a temperature distribution function T'(x, y, z, t) through three-dimensional interpolation operations to show the temperature changes inside the battery system.

[0082] Temperature difference analysis and heat dissipation unevenness identification module 30 This module performs temperature difference analysis based on the processed temperature distribution data T'(x, y, z, t). The system calculates the temperature difference between adjacent modules. , identify the module locations with uneven heat dissipation. Generate a marking matrix D(x,y,z), which marks the areas with uneven heat dissipation problems for subsequent air cooling system optimization.

[0083] The air cooling system control and optimization module 40 generates wind speed adjustment parameters that meet current needs based on the heat dissipation unevenness information D(x,y,z) provided by the temperature difference analysis module and the real-time temperature distribution data T'(x,y,z,t). (t). The controller dynamically adjusts the airflow path and wind speed in the air duct according to these adjustment parameters to ensure temperature balance in different areas. The module also continuously monitors the temperature changes of the system and adjusts the air duct layout based on the feedback data.

[0084] The system of the present invention can effectively optimize the heat dissipation design of the battery box by combining multi-physics field simulation with real-time temperature monitoring. The system analyzes the temperature data and dynamically adjusts the wind speed and airflow path of the air cooling system to ensure uniform heat dissipation and avoid local overheating. At the same time, the system has an IP67 protection level, which can protect the battery system in harsh environments while achieving efficient heat dissipation. This design greatly improves the reliability and life of the battery system, and is particularly suitable for industrial application scenarios with high performance requirements.

[0085] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A method for designing a box for a forced air-cooled battery system with an IP67 protection level, characterized in that: The following steps are involved: Obtain the temperature sensor data of the battery module, monitor the temperature changes, and obtain the real-time temperature distribution; Acquire a temperature data sequence of each battery module from the sensor network, perform temperature difference analysis, and obtain a location of a module with uneven heat dissipation; Processing the temperature data sequence to generate corresponding wind speed adjustment parameters, and dynamically adjusting the wind speed and airflow path of the air cooling system according to the parameters; Based on the multi-physics field simulation results and the real-time temperature distribution, the heat dissipation and protection structure design of the battery box are optimized to generate an updated heat dissipation optimization solution.

2. The method for designing a battery system box with IP67 protection level according to claim 1, characterized in that: In the step of acquiring the temperature data of the battery module, the temperature sensors are evenly distributed at key positions of the battery module to cover various heat source points.

3. The method for designing a battery system box with IP67 protection level according to claim 1, characterized in that: The temperature data is transmitted to a central processing unit through a sensor network, and the central processing unit performs normalization processing on the temperature data.

4. The method for designing a battery system box with forced air cooling of IP67 protection level according to claim 3 is characterized in that: The normalization process includes classifying and normalizing the temperature data of different sensors according to the sensor positions and times.

5. The method for designing a box for a forced air-cooled battery system with an IP67 protection level according to claim 1, characterized in that: The wind speed adjustment parameter is generated according to the temperature difference of each battery module, and is combined with the air cooling system control module to dynamically adjust the wind speed in the air duct.

6. The method for designing a box of a forced air-cooled battery system with an IP67 protection level according to claim 5, characterized in that: The air duct layout adjusts the wind speed according to the temperature difference of each battery module to generate an air duct optimization plan.

7. The method for designing a box for a forced air-cooled battery system with an IP67 protection level according to claim 1, characterized in that: The multi-physics field simulation results include simulation data of airflow field, heat conduction and heat dissipation efficiency.

8. The method for designing a battery system box with forced air cooling of IP67 protection level according to claim 1, characterized in that: The analysis results of the temperature data series are used to optimize the air duct design in the air cooling system.

9. The method for designing a battery system box with forced air cooling of IP67 protection level according to claim 1, characterized in that: The adjusted air cooling system redistributes the airflow according to the optimized air duct design.

10. The method for designing a battery system box with forced air cooling of IP67 protection level according to claim 9, characterized in that: The design of the protection structure optimizes the heat dissipation layout while maintaining the IP67 protection level of the battery box.

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