Intelligent electric control method and system for air-cooled fuel cell stack

Abstract

The invention relates to an intelligent electric control method and system for an air-cooled fuel cell stack, and is applied to the technical field of fuel cells, and the method comprises the following steps: obtaining stack temperature information, stack operation information, system fan information and environment humidity information of the air-cooled fuel cell stack; generating a temperature control strategy based on the electric pile temperature information, the electric pile operation information and the system fan information; generating a galvanic pile activation strategy based on the galvanic pile temperature information, the galvanic pile operation information, the system fan information and the environment humidity information; generating a low-temperature starting strategy based on the electric pile temperature information and the electric pile operation information; and performing intelligent control on the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature starting strategy. The service life maintenance method has the effect of efficiently maintaining the service life of the system.

Description

Technical Field

[0001] The present application relates to the technical field of fuel cells, and in particular to an intelligent electronic control method and system for an air-cooled fuel cell stack. Background Art

[0002] Air-cooled fuel cell stacks, with their advantages of lightweight and low maintenance costs, show broad application prospects in drones, portable power supplies and small power equipment.

[0003] However, existing technologies face multiple performance constraints in practical applications. Traditional electronic control systems rely heavily on fixed parameter control and manual experience-based adjustments, making it difficult to cope with complex operating conditions caused by dynamic loads and environmental changes. For example, traditional methods use fixed parameters to adjust fan speed, which cannot accurately match dynamic power changes, affecting the life of the fuel cell stack and energy conversion efficiency. For fuel cells that have been shelved for a long time, it is difficult to quickly activate catalyst activity and maintain membrane electrode wetness, which can easily lead to startup problems in low-temperature environments, limiting the application of air-cooled fuel cells in cold regions. In addition, existing systems require frequent manual adjustments to parameters such as temperature, humidity, and voltage. Especially after the cancellation of DC-DC, sudden load changes can easily lead to voltage fluctuation risks. At the same time, the lack of remote communication functions leads to inefficient equipment status monitoring and parameter configuration, significantly increasing fault diagnosis and maintenance costs.

[0004] These problems collectively point to the core flaw of existing technologies: the lack of adaptive control capabilities under dynamic load and environmental changes, resulting in reduced system life and lower maintenance efficiency. Summary of the Invention

[0005] In order to efficiently maintain the life of the system, the present application provides an intelligent electronic control method and system for an air-cooled fuel cell stack.

[0006] In a first aspect, the present application provides an intelligent electronic control method for an air-cooled fuel cell stack, which adopts the following technical solutions:

[0007] An intelligent electronic control method for an air-cooled fuel cell stack, comprising:

[0008] Obtaining stack temperature information, stack operation information, system fan information, and ambient humidity information of an air-cooled fuel cell stack;

[0009] generating a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information;

[0010] generating a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information;

[0011] generating a low-temperature startup strategy based on the stack temperature information and the stack operation information;

[0012] The air-cooled fuel cell stack is intelligently controlled based on the temperature control strategy, the stack activation strategy and the low-temperature startup strategy.

[0013] By adopting the above technical solution, a strategy is constructed based on the stack temperature information, stack operation information, system fan information and ambient humidity information of the air-cooled fuel cell stack, and a temperature control strategy, a stack activation strategy and a low-temperature start-up strategy are created respectively. When performing intelligent control on the air-cooled fuel cell stack, the above-generated strategies are used to comprehensively manage the air-cooled fuel cell stack from different aspects. When faced with different situations, at least one strategy can be used to handle and solve the problem, so as to protect the air-cooled fuel cell stack, thereby efficiently maintaining the life of the system.

[0014] Optionally, generating a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information includes:

[0015] Obtaining a standard temperature of the air-cooled fuel cell stack;

[0016] determining temperature deviation information of the air-cooled fuel cell stack based on the standard temperature and the stack temperature information;

[0017] generating a fuzzy rule based on the temperature deviation information, the stack operation information, and the system fan information;

[0018] A temperature control strategy is generated based on the fuzzy rules and preset fuzzy reasoning.

[0019] Optionally, the generating of fuzzy rules based on the temperature deviation information, the stack operation information, and the system fan information includes:

[0020] Determining corresponding stack data in the stack operation information based on the temperature deviation information;

[0021] Determining corresponding fan power information in the system fan information based on the temperature deviation information;

[0022] Calculating a temperature change rate based on the temperature deviation information;

[0023] A fuzzy rule is generated based on the temperature deviation information, the stack data, the fan power information, and the temperature change rate.

[0024] Optionally, generating a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information includes:

[0025] Obtaining a startup time of the air-cooled fuel cell stack;

[0026] Dividing the air-cooled fuel cell into stages based on the startup time, the stack temperature information, the stack operation information, and the ambient humidity information to generate a stack activation stage;

[0027] Obtaining the stage requirements and stage goals of the stack activation stage;

[0028] A stack activation strategy is generated based on the stage requirements and the stage goals.

[0029] Optionally, generating a stack activation strategy based on the stage requirements and the stage goals includes:

[0030] Summarize the stage requirements and the stage goals to generate stage goal data;

[0031] Obtaining basic information of the air-cooled fuel cell stack;

[0032] Generate a stage processing plan based on the stage target data and the preset processing method;

[0033] The stage processing plan is adjusted based on the basic information to generate a stack activation strategy.

[0034] Optionally, generating a low-temperature startup strategy based on the stack temperature information and the stack operation information includes:

[0035] Acquiring heating system information of the air-cooled fuel cell stack;

[0036] determining a freezing degree determination condition of the air-cooled fuel cell stack based on the stack temperature information and the stack operation information;

[0037] generating a low-temperature heating plan based on the heating system information and the freezing degree determination condition;

[0038] A low-temperature start-up strategy is generated based on the freezing degree determination condition and the low-temperature heating plan.

[0039] Optionally, the intelligent control of the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature startup strategy includes:

[0040] Acquiring current operating data of the air-cooled fuel cell stack;

[0041] Determining a target execution strategy based on the current operating data, the temperature control strategy, the stack activation strategy, and the low-temperature startup strategy;

[0042] The air-cooled fuel cell stack is intelligently controlled based on the current operating data and the target execution strategy.

[0043] In a second aspect, the present application provides an air-cooled fuel cell stack intelligent electronic control system, which adopts the following technical solutions:

[0044] An intelligent electronic control system for an air-cooled fuel cell stack, comprising:

[0045] A stack information acquisition module is used to obtain stack temperature information, stack operation information, system fan information, and ambient humidity information of an air-cooled fuel cell stack;

[0046] A control strategy generating module, configured to generate a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information;

[0047] an activation strategy generating module, configured to generate a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information;

[0048] A startup strategy generating module, configured to generate a low-temperature startup strategy based on the stack temperature information and the stack operation information;

[0049] The stack intelligent control module is used to intelligently control the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature start-up strategy.

[0050] By adopting the above technical solution, a strategy is constructed based on the stack temperature information, stack operation information, system fan information and ambient humidity information of the air-cooled fuel cell stack, and a temperature control strategy, a stack activation strategy and a low-temperature start-up strategy are created respectively. When performing intelligent control on the air-cooled fuel cell stack, the above-generated strategies are used to comprehensively manage the air-cooled fuel cell stack from different aspects. When faced with different situations, at least one strategy can be used to handle and solve the problem, so as to protect the air-cooled fuel cell stack, thereby efficiently maintaining the life of the system.

[0051] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0052] An electronic device includes a processor coupled to a memory;

[0053] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the computer program of the intelligent electronic control method for an air-cooled fuel cell stack as described in any one of the first aspects.

[0054] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0055] A computer-readable storage medium stores a computer program that can be loaded by a processor and executes the intelligent electronic control method for an air-cooled fuel cell stack as described in any one of the first aspects.

[0056] In summary, this application includes at least one of the following beneficial technical effects:

[0057] Strategies are constructed based on the stack temperature information, stack operation information, system fan information and ambient humidity information of the air-cooled fuel cell stack, and temperature control strategy, stack activation strategy and low-temperature start-up strategy are created respectively. When performing intelligent control on the air-cooled fuel cell stack, the above-generated strategies are used to comprehensively manage the air-cooled fuel cell stack from different aspects. When facing different situations, at least one strategy can be used to handle and solve the problem to protect the air-cooled fuel cell stack, thereby efficiently maintaining the life of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a flow chart of an intelligent electronic control method for an air-cooled fuel cell stack provided in an embodiment of the present application.

[0059] Figure 2 This is a structural block diagram of an air-cooled fuel cell stack intelligent electronic control system provided in an embodiment of the present application.

[0060] Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] The present application is further described in detail below with reference to the accompanying drawings.

[0062] The present invention provides an intelligent electronic control method for an air-cooled fuel cell stack. The method can be executed by an electronic device, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0063] Figure 1 A flow chart of an intelligent electronic control method for an air-cooled fuel cell stack provided in an embodiment of the present application.

[0064] like Figure 1 As shown, the main process of the method is described as follows (steps S101 to S105):

[0065] Step S101 , obtaining stack temperature information, stack operation information, system fan information, and ambient humidity information of an air-cooled fuel cell stack.

[0066] In this embodiment, the stack temperature information, stack operation information, system fan information, and ambient humidity information of the air-cooled fuel cell stack are all data generated during the use of the same model of air-cooled fuel cell stack. The previously generated data are collected and summarized to facilitate efficient and accurate control of subsequent air-cooled fuel cell stacks of the same model, reduce the loss of the air-cooled fuel cell stack, and increase the service life of the air-cooled fuel cell stack. Among them, the stack temperature information includes the temperature values and the corresponding acquisition times of the temperature values collected at multiple consecutive time points during use. Similarly, the stack operation information includes the output power values and the corresponding acquisition times of the output power values at multiple consecutive time points. The system fan information includes the fan speeds of the system fans and the corresponding acquisition times at multiple consecutive time points. The ambient humidity information includes the ambient humidity values and the corresponding acquisition times at multiple consecutive time points. It should be noted that the acquisition time can be the same time, or all the acquisition times can intersect, that is, the acquisition time of any information can be longer than the acquisition time of other information, but the acquisition time of all information must be simultaneously at multiple consistent and continuous time points.

[0067] Step S102: Generate a temperature control strategy based on the stack temperature information, stack operation information, and system fan information.

[0068] For step S102, the standard temperature of the air-cooled fuel cell stack is obtained; the temperature deviation information of the air-cooled fuel cell stack is determined based on the standard temperature and the stack temperature information; fuzzy rules are generated based on the temperature deviation information, the stack operation information and the system fan information; and a temperature control strategy is generated based on the fuzzy rules and preset fuzzy reasoning.

[0069] In this embodiment, the standard temperature of the air-cooled fuel cell stack is collected, and the temperature deviation between the temperature value in the stack temperature information and the standard temperature is calculated, and the positive and negative values are retained. The obtained temperature deviation value and the corresponding time point are integrated in chronological order to obtain the temperature deviation information. The subsequent comparison is generated based on the temperature deviation information, the stack operation information and the system fan information. Fuzzy rules are used, and a preset fuzzy reasoning is used to generate a temperature control strategy. When performing temperature control, the temperature deviation and the temperature deviation change rate are calculated based on the collected temperature value and output power in the current time period. The output power is used to select a corresponding rule subset from the fuzzy rules. The preset fuzzy reasoning generates a PID parameter correction amount based on the selected rule subset and the temperature deviation and the temperature deviation change rate. The baseline PID parameter is used to calculate the sum of the baseline PID parameter and the PID parameter correction amount to obtain a dynamic adjustment amount. After obtaining the dynamic adjustment amount, the dynamic adjustment amount is used to adjust the speed of the system fan to stabilize the operating temperature of the air-cooled fuel cell.

[0070] Furthermore, generating fuzzy rules based on temperature deviation information, battery stack operation information and system fan information includes: determining corresponding battery stack data in the battery stack operation information based on the temperature deviation information; determining corresponding fan power information in the system fan information based on the temperature deviation information; calculating the temperature change rate based on the temperature deviation information; generating fuzzy rules based on the temperature deviation information, battery stack data, fan power information and temperature change rate.

[0071] After calculating the temperature deviation information, the time in the temperature deviation information is used to extract the output power value in the stack operation information, and the extracted output power value is integrated in chronological order to obtain the stack data. In the same way, the time in the temperature deviation information is used to extract the fan speed in the Xiteng fan information, and the extracted fan speed is integrated in chronological order to obtain the fan power information. Since all the data are arranged in chronological order, the temperature change rate can be directly calculated using the temperature deviation information, that is, the temperature change rate between the previous time point and the current time point, and the temperature change rate between the current time point and the next time point, until the temperature change rate of all time points is calculated and integrated according to time to obtain the final temperature change rate. The temperature deviation information, fan power information and temperature change rate are grouped and processed through the stack data, that is, the time point corresponding to each stack data is determined, and the fan power information, temperature deviation information and temperature change rate are extracted according to the time point, divided into a fuzzy group, and all the fuzzy groups are used as fuzzy rules.

[0072] Step S103: generating a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information.

[0073] For step S103, the start-up time of the air-cooled fuel cell stack is obtained; the air-cooled fuel cell is divided into stages based on the start-up time, stack temperature information, stack operation information and ambient humidity information to generate a stack activation stage; the stage requirements and stage goals of the stack activation stage are obtained; and a stack activation strategy is generated based on the stage requirements and stage goals.

[0074] In this embodiment, the activation of the air-cooled fuel cell stack is divided into multiple stages according to the startup time, stack temperature information, stack operation information and ambient humidity information. The corresponding characteristics of each stage are different, and the data that needs to be maintained and processed are also different. The stage requirements and stage goals of each activation stage are integrated to form a plan that needs to be processed in that stage, thereby obtaining a stack activation strategy. When managing the air-cooled fuel cell stack, the corresponding activation stage is determined according to the actual data, and a multi-point activation strategy is used for activation processing, so that the air-cooled fuel cell stack reaches the corresponding activation state within the corresponding startup time, thereby improving the reaction efficiency.

[0075] According to the startup time and the stack temperature information, stack operation information and ambient humidity information during previous use, it is divided into four stages. The first stage is the pre-wetting stage, the second stage is the low-load activation stage, the third stage is the high-load activation stage, and the fourth stage is the stability verification stage. The division of the stages is based on the analysis and summary of historical data.

[0076] Furthermore, generating a stack activation strategy based on stage requirements and stage goals includes: summarizing the stage requirements and stage goals to generate stage goal data; obtaining basic information of the air-cooled fuel cell stack; generating a stage processing plan based on the stage goal data and a preset processing method; and adjusting the stage processing plan based on the basic information to generate a stack activation strategy.

[0077] When generating the stack activation strategy, the stage requirements and stage goals are summarized to obtain the stage target data, that is, what processing needs to be performed within the startup time to achieve the corresponding data. In each stack activation stage, there is corresponding stage target data. The basic information of the air-cooled fuel cell stack is obtained. The basic information is the production time, historical usage and other information of the air-cooled fuel cell stack currently waiting for management. Due to different production times, the time it has not been used is also different. During the placement process, the activity of the air-cooled fuel cell stack may change to varying degrees. First, a standardized stage processing plan is generated using the stage target data and the preset processing plan. Then, the stage processing plan is adjusted using the basic information. For example, the pre-wetting time is a time interval, and its corresponding temperature is controlled at 40 degrees. In order to make the air-cooled fuel cell stack achieve the pre-wetting effect within the event interval, its temperature may be adjusted to 39 degrees or 41 degrees, etc. The adjusted stage processing plan is used as the stack activation strategy. It should be noted that the specific stage processing plan and adjustment method need to be set according to the actual information of the air-cooled fuel cell stack and are not specifically limited here.

[0078] Step S104: generating a low-temperature startup strategy based on the stack temperature information and the stack operation information.

[0079] For step S104, the heating system information of the air-cooled fuel cell stack is obtained; the freezing degree judgment condition of the air-cooled fuel cell stack is determined based on the stack temperature information and the stack operation information; a low-temperature heating plan is generated based on the heating system information and the freezing degree judgment condition; and a low-temperature start-up strategy is generated based on the freezing degree judgment condition and the low-temperature heating plan.

[0080] In this embodiment, the heating system information of the air-cooled fuel cell stack includes the main functional modules and control methods of the heating system. When determining the freezing degree judgment condition, the stack temperature information of the air-cooled fuel cell stack is determined according to the stack temperature information to determine the initial temperature average of multiple positions, and the voltage of the air-cooled fuel cell stack is determined according to the stack operation information. The freezing situation of the air-cooled fuel cell stack is summarized in combination with the initial temperature average and voltage as well as the performance information of the electrolyte to obtain the freezing degree judgment condition. Different freezing degrees correspond to different heating methods. When heating, the air-cooled fuel cell stack needs to reach the standard temperature. Therefore, under different freezing degrees, the heating system needs to perform a large discharge amount, and the discharge time and the pause time are different. A low-temperature heating scheme is generated according to the actual heating system information and the freezing degree judgment condition. The use of this heating scheme can enable the air-cooled fuel cell stack to quickly reach the standard temperature. The freezing degree judgment condition and the low-temperature heating scheme are bound to obtain a low-temperature start-up strategy. During startup, the actual stack temperature and voltage are collected, and the collected data are matched with the freezing degree judgment conditions, and the matched freezing degree judgment conditions are used to heat the same low-temperature heating scheme.

[0081] Step S105 , intelligently controlling the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy, and the low-temperature start-up strategy.

[0082] For step S105, the current operating data of the air-cooled fuel cell stack is obtained; the target execution strategy is determined based on the current operating data, the temperature control strategy, the stack activation strategy and the low-temperature start-up strategy; and the air-cooled fuel cell stack is intelligently controlled based on the current operating data and the target execution strategy.

[0083] In this embodiment, after obtaining the current operating data, the current operating data is matched with the obtained temperature control strategy, stack activation strategy and low-temperature start-up strategy, and a strategy suitable for the current operating data is found. This strategy is used as the target execution strategy, and the target execution strategy is used to process the current operating data, thereby realizing intelligent control of the air-cooled fuel cell stack.

[0084] Figure 2 A structural block diagram of an air-cooled fuel cell stack intelligent electronic control system 200 provided in an embodiment of the application.

[0085] like Figure 2 As shown, the air-cooled fuel cell stack intelligent electronic control system 200 mainly includes:

[0086] The stack information acquisition module 201 is used to obtain the stack temperature information, stack operation information, system fan information and ambient humidity information of the air-cooled fuel cell stack;

[0087] A control strategy generating module 202 is configured to generate a temperature control strategy based on stack temperature information, stack operation information, and system fan information;

[0088] An activation strategy generating module 203 is configured to generate a stack activation strategy based on stack temperature information, stack operation information, system fan information, and ambient humidity information;

[0089] A startup strategy generating module 204 is used to generate a low-temperature startup strategy based on the stack temperature information and the stack operation information;

[0090] The stack intelligent control module 205 is used to intelligently control the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature start-up strategy.

[0091] As an optional implementation of this embodiment, the control strategy generation module 202 includes:

[0092] A standard temperature acquisition module is used to obtain the standard temperature of the air-cooled fuel cell stack;

[0093] A temperature deviation determination module, configured to determine temperature deviation information of an air-cooled fuel cell stack based on a standard temperature and stack temperature information;

[0094] A fuzzy rule generation module is used to generate fuzzy rules based on temperature deviation information, stack operation information, and system fan information;

[0095] The temperature strategy generation module is used to generate temperature control strategies based on fuzzy rules and preset fuzzy reasoning.

[0096] In this optional embodiment, the fuzzy rule generation module is specifically used to determine the corresponding battery stack data in the battery stack operation information based on the temperature deviation information; determine the corresponding fan power information in the system fan information based on the temperature deviation information; calculate the temperature change rate based on the temperature deviation information; and generate fuzzy rules based on the temperature deviation information, battery stack data, fan power information and temperature change rate.

[0097] As an optional implementation of this embodiment, it is characterized in that the activation strategy generation module 203 includes:

[0098] A start-up time acquisition module is used to obtain the start-up time of the air-cooled fuel cell stack;

[0099] A stack stage division module is used to divide the air-cooled fuel cell into stages based on the startup time, stack temperature information, stack operation information and ambient humidity information to generate a stack activation stage;

[0100] The stage information acquisition module is used to obtain the stage requirements and stage goals of the stack activation stage;

[0101] The stack strategy generation module is used to generate the stack activation strategy based on stage requirements and stage goals.

[0102] In this optional embodiment, the stack strategy generation module is specifically used to summarize the stage requirements and stage goals to generate stage goal data; obtain basic information of the air-cooled fuel cell stack; generate a stage processing plan based on the stage goal data and preset processing methods; adjust the stage processing plan based on the basic information to generate a stack activation strategy.

[0103] As an optional implementation of this embodiment, the startup strategy generation module 204 is specifically used to obtain the heating system information of the air-cooled fuel cell stack; determine the freezing degree judgment condition of the air-cooled fuel cell stack based on the stack temperature information and the stack operation information; generate a low-temperature heating plan based on the heating system information and the freezing degree judgment condition; and generate a low-temperature startup strategy based on the freezing degree judgment condition and the low-temperature heating plan.

[0104] As an optional implementation scheme of this embodiment, the stack intelligent control module 205 is specifically used to obtain the current operating data of the air-cooled fuel cell stack; determine the target execution strategy based on the current operating data, temperature control strategy, stack activation strategy and low-temperature start-up strategy; and perform intelligent control of the air-cooled fuel cell stack based on the current operating data and the target execution strategy.

[0105] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0106] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0107] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0108] Figure 3 This is a structural block diagram of the electronic device 300 provided in an embodiment of the present application.

[0109] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more communication components 304 , and a communication bus 305 .

[0110] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-mentioned intelligent electronic control method for an air-cooled fuel cell stack; the memory 302 is used to store various types of data to support the operation of the electronic device 300. For example, these data may include instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0111] The I / O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, therefore, the corresponding communication component 304 may include: Wi-Fi components, Bluetooth components, NFC components.

[0112] The electronic device 300 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the intelligent electronic control method for the air-cooled fuel cell stack given in the above embodiment.

[0113] Communication bus 305 may include a path for transmitting information between the aforementioned components. Communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, for example. Communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.

[0114] The electronic device 300 may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., as well as fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0115] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned intelligent electronic control method for an air-cooled fuel cell stack are implemented.

[0116] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., which can store program codes.

[0117] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0118] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. An intelligent electronic control method for an air-cooled fuel cell stack, characterized in that: include: Obtaining stack temperature information, stack operation information, system fan information, and ambient humidity information of an air-cooled fuel cell stack; generating a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information; generating a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information; generating a low-temperature startup strategy based on the stack temperature information and the stack operation information; The air-cooled fuel cell stack is intelligently controlled based on the temperature control strategy, the stack activation strategy and the low-temperature startup strategy.

2. The method according to claim 1, characterized in that Generating a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information includes: Obtaining a standard temperature of the air-cooled fuel cell stack; determining temperature deviation information of the air-cooled fuel cell stack based on the standard temperature and the stack temperature information; generating a fuzzy rule based on the temperature deviation information, the stack operation information, and the system fan information; A temperature control strategy is generated based on the fuzzy rules and preset fuzzy reasoning.

3. The method according to claim 2, characterized in that Generating fuzzy rules based on the temperature deviation information, the stack operation information, and the system fan information includes: Determining corresponding stack data in the stack operation information based on the temperature deviation information; Determining corresponding fan power information in the system fan information based on the temperature deviation information; Calculating a temperature change rate based on the temperature deviation information; A fuzzy rule is generated based on the temperature deviation information, the stack data, the fan power information, and the temperature change rate.

4. The method according to claim 2, characterized in that Generating a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information includes: Obtaining a startup time of the air-cooled fuel cell stack; Dividing the air-cooled fuel cell into stages based on the startup time, the stack temperature information, the stack operation information, and the ambient humidity information to generate a stack activation stage; Obtaining the stage requirements and stage goals of the stack activation stage; A stack activation strategy is generated based on the stage requirements and the stage goals.

5. The method according to claim 4, characterized in that Generating a stack activation strategy based on the stage requirements and the stage goals includes: Summarize the stage requirements and the stage goals to generate stage goal data; Obtaining basic information of the air-cooled fuel cell stack; Generate a stage processing plan based on the stage target data and the preset processing method; The stage processing plan is adjusted based on the basic information to generate a stack activation strategy.

6. The method according to claim 4, characterized in that Generating a low-temperature startup strategy based on the stack temperature information and the stack operation information includes: Acquiring heating system information of the air-cooled fuel cell stack; determining a freezing degree determination condition of the air-cooled fuel cell stack based on the stack temperature information and the stack operation information; generating a low-temperature heating plan based on the heating system information and the freezing degree determination condition; A low-temperature start-up strategy is generated based on the freezing degree determination condition and the low-temperature heating plan.

7. The method according to claim 1, characterized in that The intelligent control of the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature startup strategy includes: Acquiring current operating data of the air-cooled fuel cell stack; Determining a target execution strategy based on the current operating data, the temperature control strategy, the stack activation strategy, and the low-temperature startup strategy; The air-cooled fuel cell stack is intelligently controlled based on the current operating data and the target execution strategy.

8. An air-cooled fuel cell stack intelligent electronic control system, characterized in that: include: A stack information acquisition module is used to obtain stack temperature information, stack operation information, system fan information, and ambient humidity information of an air-cooled fuel cell stack; A control strategy generating module, configured to generate a temperature control strategy based on the stack temperature information, the stack operation information, and the system fan information; an activation strategy generating module, configured to generate a stack activation strategy based on the stack temperature information, the stack operation information, the system fan information, and the ambient humidity information; A startup strategy generating module, configured to generate a low-temperature startup strategy based on the stack temperature information and the stack operation information; The stack intelligent control module is used to intelligently control the air-cooled fuel cell stack based on the temperature control strategy, the stack activation strategy and the low-temperature start-up strategy.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute the computer program stored in the memory, so that the electronic device performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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