Adaptive temperature control method for fuel cell cogeneration based on multi-in-one cooling system

Abstract

The present invention discloses a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system, comprising: step 1, monitoring the internal and external temperature data of the container respectively through a container internal temperature real-time monitoring module and a container external temperature real-time monitoring module; step 2, the heat dissipation scheme adaptive adjustment module receives the internal and external temperature data of the container obtained in step 1, and compares and analyzes the two data, and the system heat dissipation scheme method simulation module determines the heat dissipation scheme according to the result of the comparative analysis; step 3, the determined heat dissipation scheme is input into the execution module through the control strategy to realize one or more of the louver heat dissipation, ventilation ball convection heat exchange and liquid cooling water mist heat dissipation for heat dissipation. The present invention optimizes the temperature management and heat dissipation efficiency of the fuel cell system through precise monitoring and intelligent adjustment of the temperature, and significantly improves the energy utilization and stability of the entire system.

Description

Technical Field

[0001] The present invention belongs to the technical field of fuel cell cogeneration systems, and in particular relates to a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system. Background Art

[0002] As a clean and efficient energy conversion device, fuel cells have received widespread attention and application around the world in recent years. Especially in the fields of transportation, fixed power and portable power, fuel cells are considered to be one of the important directions of future energy development due to their high energy density and low emissions. However, fuel cells generate a lot of heat during operation. If the heat cannot be effectively managed, it will not only affect the working efficiency and life of the fuel cell, but also may bring safety hazards. Therefore, the thermal management problem of fuel cells has become one of the key and difficult points of current research.

[0003] Fuel cell combined heat and power system (hereinafter referred to as CHP system) improves energy utilization efficiency by generating electricity and heat at the same time, and is an important form of fuel cell application. In the CHP system, electricity can be used to meet various electricity needs, while heat can be used for heating, cooling or heat energy needs in industrial processes. However, as the application scenarios of CHP systems become more complicated, its thermal management issues have become more prominent.

[0004] In existing CHP systems, heat management usually relies on traditional fans, radiators or air conditioning systems. The working principle of these systems is to remove the heat generated by the fuel cell from the system through the circulation of air or liquid media to keep the system temperature within a reasonable range. However, this traditional thermal management method has many limitations and is difficult to meet the needs of complex and changing application scenarios.

[0005] The existing technology has the following defects in thermal management: (1) Complex structure and high cost Traditional thermal management systems usually consist of multiple components, including cooling pipes, heat sinks, fans, etc. The design and manufacturing process of these components is relatively complex, and the installation and maintenance are also difficult. For example, in a typical CHP system, the cooling water pipeline needs to be precisely designed and arranged to ensure uniform temperature in all parts of the system, which not only increases the design and construction costs of the system, but also increases the difficulty of maintenance.

[0006] In addition, the complex structure of the traditional cooling system also leads to an increase in manufacturing costs. Since the system involves multiple high-precision components, a large number of high-end equipment and processes are required in the manufacturing process, resulting in high overall costs. This is a significant limiting factor for CHP systems that need to be deployed on a large scale.

[0007] (2) Low energy efficiency and high energy consumption Existing thermal management systems also have significant problems in terms of energy efficiency. Traditional fan and air conditioning systems usually consume a lot of electricity to drive, resulting in low overall energy efficiency of the system. Especially in high temperature environments, the heat dissipation load of the system increases, and the working intensity of fans and air conditioners increases, resulting in further increase in power consumption. This problem of low energy efficiency not only limits the application scope of CHP systems, but also increases operating costs and reduces the economy of the system.

[0008] In addition, traditional thermal management systems often fail to fully utilize the heat generated by fuel cells. As existing systems lack an effective heat recovery mechanism, a large amount of heat generated by fuel cells is often directly discharged into the environment, resulting in energy waste. This not only does not meet the current environmental protection requirements of energy conservation and emission reduction, but also reduces the overall efficiency of the CHP system.

[0009] (3) Poor temperature control and environmental adaptability Traditional thermal management systems have significant limitations in temperature control. Since the system mainly relies on mechanical fans and air conditioners for heat dissipation, the heat dissipation effects of these devices vary greatly under different environmental conditions. For example, in extremely high temperature environments, the cooling effect of fans and air conditioners often cannot meet expectations, resulting in excessively high temperatures inside the system, which in turn affects the performance and life of the fuel cell.

[0010] In addition, the temperature control method of traditional cooling systems is relatively simple, usually relying on a single temperature threshold control. This method is difficult to respond to changes in ambient temperature in real time, resulting in poor flexibility in temperature control of the system. For example, the ambient temperature may change significantly at different times of the day, and traditional temperature control systems cannot respond to these changes quickly, resulting in reduced system operating efficiency.

[0011] (4) Insufficient system adaptability and scalability Existing CHP systems also face challenges in terms of adaptability and scalability. Since the design of traditional thermal management systems is based on specific environmental conditions and operating scenarios, complex adjustments and modifications to the system are often required when applied to different scenarios. This not only increases the difficulty of system deployment, but also limits the widespread application of CHP systems.

[0012] In addition, the existing system is also insufficient in scalability. For example, when the system needs to handle more heat load or be applied to larger-scale scenarios, the existing cooling system often cannot meet the needs and requires a major system upgrade. This upgrade process usually involves a lot of hardware replacement and software adjustments, which not only increases costs, but may also affect the stability and reliability of the system.

[0013] In summary, the thermal management of traditional fuel cell CHP systems requires a more efficient, flexible and economical solution. This solution should not only be superior to traditional systems in terms of heat dissipation, but also achieve breakthroughs in structural simplification, cost control, energy efficiency improvement and automation of temperature control. In addition, the solution should also have strong adaptability and scalability to meet the needs of different application scenarios. Improve the overall performance and reliability of the fuel cell CHP system. Summary of the invention

[0014] The purpose of the present invention is to provide a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system to solve the problems of poor temperature control adaptability, poor heat dissipation effect and high energy consumption in the prior art.

[0015] To achieve the above purpose, the technical solution adopted by the present invention is: a fuel cell cogeneration temperature adaptive control method based on a multi-in-one cooling system, which is specifically implemented in the following steps: Step 1: monitor the internal and external temperature data of the container respectively through the container internal temperature real-time monitoring module and the container external temperature real-time monitoring module; Step 2: The heat dissipation scheme adaptive adjustment module receives the internal and external temperature data of the container obtained in step 1, and compares and analyzes the two data. The system heat dissipation scheme method simulation module determines the heat dissipation scheme according to the results of the comparative analysis. Step 3, the determined heat dissipation scheme is input into the execution module through the control strategy to realize heat dissipation by one or more of louver heat dissipation, ventilated ball convection heat transfer and liquid cooling water mist heat dissipation.

[0016] As a preferred technical solution of the present invention, in step 1, the container internal temperature real-time monitoring module and the container external temperature real-time monitoring module are both composed of multiple sensors.

[0017] As a preferred technical solution of the present invention, in step 2, the heat dissipation solution includes: When the temperature inside the container is higher than the ambient temperature, ventilation ball convection heat exchange + shutter heat dissipation method is adopted. As a preferred technical solution of the present invention, in step 2, the heat dissipation solution includes: When the temperature inside the container is lower than the ambient temperature, liquid cooling water mist heat dissipation + louver heat dissipation + ventilation ball convection heat exchange is adopted.

[0018] As a preferred technical solution of the present invention, in step 3, the heat dissipation solution includes: When the temperature inside the container is the same as the ambient temperature, liquid cooling, water mist cooling and louver cooling are used.

[0019] As a preferred technical solution of the present invention, in step 3, the control strategy input execution module controls the louver heat dissipation and the liquid-cooled water mist heat dissipation through a controller respectively.

[0020] As a preferred technical solution of the present invention, the power source of the two controllers is an energy storage battery.

[0021] As a preferred technical solution of the present invention, the ventilation ball is connected to a generator, and the generator supplies power to the energy storage battery.

[0022] The beneficial effects of the present invention are as follows: the fuel cell cogeneration temperature adaptive control method based on the multi-in-one heat dissipation system of the present invention optimizes the temperature management and heat dissipation efficiency of the fuel cell system through precise monitoring and intelligent adjustment of the temperature, and significantly improves the energy utilization and stability of the entire system. Through waste heat utilization and self-generation technology, not only the energy consumption of the system is reduced, but also the overall efficiency of the system is improved. The realization of these technical effects not only provides strong support for the widespread application of proton exchange membrane fuel cell technology, but also sets a new benchmark for the development of energy-saving and environmental protection technologies in related fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a principle diagram of a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system of the present invention; Figure 2 It is a principle diagram of three heat dissipation modes in a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system of the present invention.

[0024] In the picture: 1. Ventilation ball, 2. Shutter, 3. Liquid cooling water mist system. DETAILED DESCRIPTION

[0025] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] Example 1 like Figure 1 As shown, a fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system of the present invention is specifically implemented according to the following steps: Step 1: monitor the internal and external temperature data of the container respectively through the container internal temperature real-time monitoring module and the container external temperature real-time monitoring module; Step 2: The heat dissipation scheme adaptive adjustment module receives the internal and external temperature data of the container obtained in step 1, and compares and analyzes the two data. The system heat dissipation scheme method simulation module determines the heat dissipation scheme according to the results of the comparative analysis. Step 3, the determined heat dissipation scheme is input into the execution module through the control strategy to realize heat dissipation by one or more of louver heat dissipation, ventilated ball convection heat transfer and liquid cooling water mist heat dissipation.

[0027] The following describes each part of the present invention: (1) Real-time monitoring module for internal and external temperature of container The real-time temperature monitoring module inside and outside the container is the basis of the entire temperature management system. It collects temperature data inside and outside the container in real time through multiple sensors installed inside and outside the container. These sensors are precisely calibrated to provide high-precision temperature measurement to ensure the accuracy and reliability of the data. During the operation of the system, the temperature monitoring module will continuously record and transmit this data as the basic input for the subsequent temperature adjustment and heat dissipation solution.

[0028] The importance of the real-time temperature monitoring module inside and outside the container lies in that it provides an accurate data basis for the entire system. Through real-time monitoring of the temperature inside and outside the container, the system can instantly sense changes in ambient temperature, predict possible temperature anomalies in advance, and take corresponding control measures. This can not only effectively avoid overheating or overcooling of the system, but also help optimize the overall energy efficiency of the system and extend the service life of the equipment.

[0029] In addition, the real-time temperature monitoring module inside and outside the container can also identify long-term temperature change trends through data analysis, help predict the cooling or heating needs of the system, and then optimize the formulation of the heat dissipation plan. This data-driven control strategy provides a solid foundation for subsequent adaptive adjustment and heat dissipation control.

[0030] (2) Heat dissipation scheme adaptive adjustment module The heat dissipation scheme adaptive adjustment module is one of the core parts of the present invention, which is mainly responsible for intelligently determining and executing the optimal heat dissipation strategy based on the temperature data monitored in real time. Figure 2 The heat dissipation scheme adaptive adjustment module combines the advantages of three heat dissipation methods: ventilation ball 1, shutter 2, and liquid cooling water mist system 3. Through algorithm simulation and optimization, it selects a heat dissipation scheme suitable for the current environment and working conditions.

[0031] The ventilation ball 1 is a simple and effective natural heat dissipation device that uses the rising hot air inside the container to drive the ball to rotate, thereby driving air circulation and helping to dissipate heat. Since the ventilation ball has a simple structure and does not require an external power source, it has the characteristics of low cost and low failure rate, and is very suitable for use in environments with frequent temperature fluctuations.

[0032] The shutter 2 adjusts the air flow inside and outside the container by controlling the opening and closing of the shutter blades, thereby affecting the heat dissipation effect of the system. In a high temperature environment, the shutter can be opened to the maximum extent to accelerate the discharge of hot air; while in a low or moderate temperature environment, it can be partially closed to reduce heat loss. The design of the shutter allows it to respond flexibly to a variety of working conditions, ensuring the uniformity and stability of the system temperature.

[0033] The liquid cooling mist system 3 is one of the efficient heat dissipation methods in the module, especially suitable for situations where rapid cooling is required. The liquid cooling system can significantly reduce the temperature inside the system in a short period of time through the heat absorption effect of water evaporation, and the uniform spraying of water mist further improves the coverage and efficiency of heat dissipation. The system has extremely high heat exchange efficiency in high temperature environments, simple structure, low maintenance cost, and is suitable for long-term operation.

[0034] Through the heat dissipation scheme adaptive adjustment module, the system can automatically select the optimal heat dissipation method based on real-time monitoring data, and simulate the best heat dissipation scheme through algorithms to execute the control strategy. This dynamic adjustment mechanism ensures the temperature control accuracy of the system in extreme environments such as high temperature, improves the heat dissipation efficiency, and enhances the compatibility and adaptability of the system.

[0035] (3) Multi-in-one heat dissipation control system The multi-in-one heat dissipation control system integrates multiple heat dissipation methods such as ventilation balls, shutters, and liquid-cooled water mist, and realizes true waste heat utilization and system self-power supply through intelligent control logic. The design concept of this system is to utilize the waste heat generated inside the system for secondary utilization, drive the ventilation balls to rotate through hot air, and then drive small generators to generate electricity and store energy. Although this part of the power generation is not large, it is enough to support the control power supply requirements of the shutters and liquid-cooled water mist cooling system, realizing energy self-sufficiency of the cooling system.

[0036] In order to ensure the accuracy and optimization effect of the cooling solution, the system introduces a system cooling solution algorithm simulation module. This module performs complex algorithm simulation by inputting the temperature and humidity of the container and the external environment, predicting and verifying the effectiveness of various cooling solutions. By simulating and analyzing the cooling strategy, it is ensured that the cooling solution of the system under different temperature conditions can provide the best temperature control and heat exchange efficiency. Finally, the optimized control strategy will be input into the control strategy input execution module, which is responsible for converting the simulation results into actual operation instructions to achieve the best cooling control effect.

[0037] The overall logic flow of the system cooling solution algorithm simulation module is as follows: According to the temperature difference and In the range of , different cooling modes are activated based on logical rules (different cooling modes are formed by different combinations of ventilation balls, shutters, and liquid cooling water mist systems), and control parameters such as the rotation speed of the ventilation balls, the opening of the shutters, and the injection intensity of the liquid cooling water mist system are output. Specifically, the following control parameters are included: (1) Dynamically adjust the rotation speed of the ventilation ball 1 According to the temperature difference Dynamically adjust the ventilation ball speed :

[0038] To adjust the coefficient, ensure the balance between heat dissipation demand and power consumption.

[0039] (2) Injection optimization of liquid cooling water mist system 3 According to humidity and temperature difference , dynamically adjust the water mist spray intensity :

[0040] is a temperature difference The relevant adjustment coefficient is used to control the intensity of the liquid cooling water mist spray.

[0041] (3) Angle adjustment of shutter 2 According to wind speed and temperature difference Dynamically adjust the shutter opening and closing angle :

[0042] is a function of ambient wind speed The relevant adjustment factor is used to adjust the rotation speed of the ventilation ball; It is an adjustment coefficient used to adjust the opening and closing angle of the blinds according to the ambient wind speed and temperature difference .

[0043] (4) Real-time feedback: Monitor the heat dissipation effect through temperature sensors to dynamically adjust the strategy.

[0044] (5) Prediction and adaptive adjustment: Combine environmental predictions (such as weather changes) to optimize cooling modes in advance.

[0045] (6) Redundancy mechanism: In the event of extreme high temperature or equipment failure, the system starts full power mode to ensure safe operation.

[0046] The optimized design of the system cooling algorithm simulation module can achieve efficient and intelligent cooling control while taking into account energy consumption and system stability. In addition, simulation or hardware test verification can be further added as needed.

[0047] The intelligent control logic of the present invention can adjust the operating status of each heat dissipation mode in real time to ensure that the system can select the optimal heat dissipation path under different temperature conditions. For example, when the ambient temperature is low, the system can rely only on natural heat dissipation modes, such as ventilation balls 1 and shutters 2, to reduce the use of liquid cooling systems to save water resources and electricity. In high temperature environments, the system can make full use of the efficient heat dissipation capacity of liquid cooling mist to accelerate the temperature drop.

[0048] Through the multi-in-one heat dissipation control system, this application not only achieves effective management of the internal heat of the system, but also improves the overall energy efficiency of the system through self-generation, reduces energy consumption, and enhances the environmental adaptability and reliability of the system. This innovative heat dissipation control mechanism provides an efficient, energy-saving and well-compatible solution for the development of fuel cell technology.

[0049] Example 2 Different from Example 1, in Example 2 of the present invention, in the fuel cell cogeneration temperature adaptive control method based on the multi-in-one cooling system, in step 2: the cooling scheme adaptive adjustment module is responsible for selecting the most appropriate cooling method according to the real-time temperature data.

[0050] Example 3 Different from Example 2, in Example 3 of the present invention, in the fuel cell cogeneration temperature adaptive control method based on the multi-in-one cooling system, the cooling scheme adaptive adjustment module integrates three main cooling methods: louver cooling, ventilated ball convection heat exchange and liquid cooling mist cooling. These cooling methods can be used in combination according to different temperature conditions to achieve the best cooling effect. The cooling method of the system depends on different temperature conditions to select the most suitable combination to ensure the best cooling effect. The main basic adjustment strategies are: (1) Temperature inside the container > ambient temperature At this time, the system uses ventilation ball cooling + shutter cooling. The ventilation ball 1 increases the air flow speed by promoting air convection, while the shutter uses the flow of natural wind to dissipate heat.

[0051] (2) Temperature inside the container = ambient temperature container The system uses shutter cooling + liquid cooling mist cooling. Shutter 2 continues to play a natural cooling role, while liquid cooling mist 3 cools the air through atomized water to enhance heat exchange efficiency.

[0052] (3) Temperature inside the container < ambient temperature In this case, the system uses a full combination of ventilation balls + shutters + liquid cooling mist cooling ventilation balls. The ventilation balls 1 enhance air convection, the shutters 2 utilize natural heat dissipation, and the liquid cooling mist 3 further cools the air to cope with high temperature environments.

[0053] In addition, these cooling methods simulate parameters based on algorithms such as temperature monitoring mechanisms and actual scenario usage, thereby ensuring that the air temperature in the system always remains within the ideal range by fine-tuning parameters such as the control opening, achieving efficient heat exchange and stable temperature control.

[0054] Example 4 Different from Example 3, in Example 4 of the fuel cell cogeneration temperature adaptive control method based on a multi-in-one cooling system of the present invention, in step 3, the control strategy input execution module controls the louver cooling and liquid cooling mist cooling through a controller respectively, so as to achieve one-to-one control and select a suitable cooling solution.

[0055] Example 5 Different from Example 4, in Example 5 of the present invention, in the fuel cell cogeneration temperature adaptive control method based on the multi-in-one heat dissipation system, the power sources of the two controllers are energy storage batteries that can be charged and reused repeatedly.

[0056] Example 6 Different from Example 5, in Example 6 of the fuel cell cogeneration temperature adaptive control method based on a multi-in-one heat dissipation system of the present invention, the ventilation ball 1 is connected to a generator, and the generator supplies power to the energy storage battery.

[0057] In order to better utilize waste heat, the system is also designed with an energy recovery mechanism. When the temperature inside the container rises, the hot air will rise and drive the ventilation ball 1 to rotate. The rotating ventilation ball 1 not only helps to exhaust the hot air, but also generates electricity through linkage with the generator. This electricity will be stored in the system and used as the control power supply for the blinds 1 and the liquid cooling water mist system 3. This design greatly reduces the dependence on external power supply, realizes the recycling of the heat dissipation system, and reflects the innovation of the present invention in energy saving and environmental protection.

[0058] Although the amount of electricity generated is small, it is enough to be stored in the energy storage battery, and the two controllers are used to adjust the operating status of the leaf window cooling and liquid cooling water mist cooling respectively. This design not only realizes the waste heat utilization of the cooling system, but also enhances the energy efficiency and economy of the system.

[0059] In summary, the present invention provides an efficient temperature management solution through a real-time temperature monitoring module inside and outside the container, a heat dissipation scheme adaptive adjustment module, and an all-in-one heat dissipation control system. Through real-time temperature monitoring, intelligent adjustment of the heat dissipation method, and self-generation of waste heat, the stability and energy efficiency of the system under various working conditions are ensured. This solution not only achieves precise temperature control, but also optimizes energy utilization, and has significant energy-saving and environmental protection advantages. Therefore, this application has at least the following advantages: (1) Accurate temperature monitoring and dynamic response The real-time temperature monitoring module inside and outside the container designed in this application can collect temperature data of the environment inside and outside the container in real time through high-precision temperature sensors. This function ensures that the system can perceive temperature changes in a timely manner and provide accurate data support for subsequent temperature adjustments. Through this real-time monitoring, the system can respond quickly when the temperature is abnormal, avoiding equipment failure or performance degradation caused by excessively high or low temperatures, thereby improving the stability and reliability of the system.

[0060] (2) Efficient heat dissipation adaptive adjustment The heat dissipation scheme adaptive adjustment module is one of the core technologies of this application. This module combines three heat dissipation methods: ventilation balls, shutters and liquid-cooled water mist, and optimizes and selects these heat dissipation methods through intelligent algorithms to ensure that the system can achieve the best heat dissipation effect in different environments. The ventilation balls use natural convection, the shutters control the air flow, and the liquid-cooled water mist quickly cools down by evaporating heat. The module can automatically select and adjust the heat dissipation method according to the real-time monitored temperature data, so that the system can quickly and effectively cool down in high-temperature environments, and maintain temperature uniformity and moderation in low-temperature environments, thereby ensuring the efficient operation of the fuel cell system.

[0061] (3) Energy self-sufficiency and energy-saving effects The multi-in-one heat dissipation control system uses the waste heat generated inside the system to drive the rotation of the ventilation ball, and then converts the mechanical energy into electrical energy to control the shutters and liquid cooling water mist system, thus achieving energy self-sufficiency of the heat dissipation system. This design not only reduces the dependence on external power supply, but also improves the overall energy utilization efficiency of the system through the recycling of waste heat. This energy-saving effect is particularly significant in long-term operation, which helps to reduce the operating cost of the system and enhance its environmental friendliness.

[0062] (4) Environmental adaptability and system reliability The design of this application also takes into account the adaptability of the system in different environments. Through intelligent control logic, the system can automatically adjust the heat dissipation solution according to changes in ambient temperature, thereby ensuring stable operation in extreme environments. This adaptive ability greatly enhances the environmental adaptability of the system, allowing it to maintain good performance under extreme conditions such as high and low temperatures. In addition, through the effective management of the internal heat of the system, local overheating or overcooling caused by uneven temperature is avoided, further improving the reliability of the system.

[0063] The above description shows and describes several preferred embodiments of the invention, but as mentioned above, it should be understood that the invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the invention concept described herein through the above teachings or the technology or knowledge of the relevant field. Changes and modifications made by those skilled in the art should be within the scope of protection of the claims attached to the invention without departing from the spirit and scope of the invention.

Claims

1. A fuel cell cogeneration temperature adaptive control method based on a multi-in-one cooling system, characterized in that: Follow the steps below to implement it: Step 1: monitor the internal and external temperature data of the container respectively through the container internal temperature real-time monitoring module and the container external temperature real-time monitoring module; Step 2: The heat dissipation scheme adaptive adjustment module receives the internal and external temperature data of the container obtained in step 1, and compares and analyzes the two data. The system heat dissipation scheme method simulation module determines the heat dissipation scheme based on the results of the comparative analysis and the system humidity data; Step 3, the determined heat dissipation scheme is input into the execution module through the control strategy to realize heat dissipation by one or more of louver heat dissipation, ventilated ball convection heat transfer and liquid cooling water mist heat dissipation.

2. The method for temperature adaptive control of fuel cell cogeneration based on a multi-in-one cooling system according to claim 1, characterized in that: In step 1, the container internal temperature real-time monitoring module and the container external temperature real-time monitoring module are both composed of multiple sensors.

3. The method for temperature adaptive control of fuel cell cogeneration based on a multi-in-one cooling system according to claim 2, characterized in that: In step 2, the heat dissipation solution includes: When the temperature inside the container is higher than the ambient temperature, ventilation ball convection heat exchange + shutter heat dissipation method is adopted.

4. The method for temperature adaptive control of fuel cell cogeneration based on a multi-in-one cooling system according to claim 3 is characterized in that: In step 2, the heat dissipation solution includes: When the temperature inside the container is lower than the ambient temperature, liquid cooling water mist heat dissipation + louver heat dissipation + ventilation ball convection heat exchange is adopted.

5. The method for temperature adaptive control of fuel cell cogeneration based on a multi-in-one cooling system according to claim 4, characterized in that: In step 3, the heat dissipation solution includes: When the temperature inside the container is the same as the ambient temperature, liquid cooling, water mist cooling and louver cooling are used.

6. The method for temperature adaptive control of combined heat and power generation of fuel cells based on a multi-in-one cooling system according to claim 5, characterized in that: In step 3, the control strategy input execution module controls the louver heat dissipation and liquid cooling water mist heat dissipation through a controller respectively.

7. The method for temperature adaptive control of combined heat and power generation of fuel cells based on a multi-in-one cooling system according to claim 6, characterized in that: The power sources of the two controllers are energy storage batteries.

8. The method for temperature adaptive control of combined heat and power generation of fuel cells based on a multi-in-one cooling system according to claim 7, characterized in that: The ventilation ball is connected to a generator, and the generator supplies power to the energy storage battery.

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