Parameter determination method, device and electronic equipment for fuel cell

Abstract

The present disclosure relates to a parameter determination method and device of a fuel cell and an electronic device, and relates to the field of vehicles. The method comprises: obtaining a plurality of running data of a vehicle within a set time range; determining a target current of a fuel cell of the vehicle through the plurality of running data; and determining a decay rate and a decay speed of the fuel cell according to the target current and the plurality of running data. By calculating the decay rate and the decay speed of the fuel cell of the vehicle within the set time range, the decay state of the fuel cell of the vehicle at different times can be monitored, and theoretical support can be provided for subsequent fuel cell operation optimization strategies.

Description

Technical Field

[0001] This disclosure relates to the field of vehicles, and more specifically, to a method, apparatus, and electronic device for determining parameters of a fuel cell. Background Technology

[0002] Fuel cell vehicles are in a stage of rapid development, so it is necessary to analyze a large amount of operating data of fuel cell vehicles to verify the reliability and degradation status of fuel cell systems and provide theoretical support for the optimization of subsequent fuel cell operation strategies. Summary of the Invention

[0003] To overcome the problems existing in related technologies, this disclosure provides a method, apparatus and electronic device for determining parameters of a fuel cell.

[0004] According to a first aspect of the present disclosure, a method for determining parameters of a fuel cell is provided, applied to a big data platform, the method comprising:

[0005] Acquire multiple operational data points of the vehicle within a set time range;

[0006] The target current of the vehicle's fuel cell is determined using the aforementioned multiple operating data.

[0007] The decay rate and decay speed of the fuel cell are determined based on the target current and the plurality of operating data.

[0008] Optionally, each of the plurality of operating data includes: fuel cell stack output power, and determining the target current of the vehicle's fuel cell using the plurality of operating data includes:

[0009] The power range to which each operating data belongs is determined based on the output power of the fuel cell stack in each operating data; wherein each power range corresponds to at least one operating data.

[0010] The target current corresponding to the power range is determined based on at least one operating data corresponding to the power range.

[0011] Optionally, each of the plurality of operating data includes: fuel cell stack output current, and determining the target current corresponding to the power range based on the at least one operating data corresponding to the power range includes:

[0012] Determine the fuel cell stack output current that appears most frequently from at least one operating data corresponding to the power range;

[0013] The fuel cell current that appears most frequently in the power range is taken as the target current for the power range.

[0014] Optionally, each of the plurality of operating data includes: fuel cell stack output power, fuel cell stack output current, average single cell voltage of fuel cell, and fuel cell operating time;

[0015] Determining the degradation rate and degradation speed of the fuel cell based on the target current and the plurality of operating data includes:

[0016] At least one target operating data is determined based on the fuel cell stack output current and the target current of each operating data in at least one operating data corresponding to the power range;

[0017] The degradation rate of the fuel cell in the power range is determined based on the average single cell voltage of the fuel cell in each of the target operating data.

[0018] The degradation rate of the fuel cell in the power range is determined based on the average single-cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data.

[0019] Optionally, determining at least one target operating data based on the fuel cell stack output current and the target current of each operating data corresponding to at least one operating data in the power range includes:

[0020] For each operating data point in at least one operating data point corresponding to the power range, when the difference between the fuel cell stack output current and the target current of the operating data point is within a set range, the operating data point is determined as the target operating data point.

[0021] Optionally, determining the degradation rate of the fuel cell in the power range based on the average single-cell voltage of the fuel cell in each of the target operating data includes:

[0022] The degradation rate of the fuel cell in the power range is described by the following formula:

[0023]

[0024] Where μ represents the decay rate of the fuel cell in the power range;

[0025] K represents the quantity of at least one target running data;

[0026] This represents the average value of the average single-cell voltage of the fuel cell among the first J target operating data points, arranged in ascending order of fuel cell operating time; U jThis represents the average single-cell voltage of the fuel cell in the j-th target operating data among the first J target operating data.

[0027] U represents the average value of the average single-cell voltage of the fuel cell in the last I target operating data sets, arranged in ascending order of fuel cell operating time; i This represents the average single-cell voltage of the fuel cell in the i-th operating data among the last I target operating data.

[0028] Optionally, determining the degradation rate of the fuel cell in the power range based on the average single-cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data includes:

[0029] A linear fit is performed on the average single cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data to determine the fitting function;

[0030] The slope of the fitted function is used as the decay rate of the fuel cell in the power range.

[0031] Optionally, the method further includes:

[0032] Based on the filtering criteria, the multiple operating data, the attenuation rate, and the attenuation speed of at least one vehicle are obtained from the big data platform; wherein, the filtering criteria include at least one of: quarter, year, custom time interval, vehicle identification number, and vehicle announcement number;

[0033] The plurality of operating data, the attenuation rate, and the attenuation speed of the at least one vehicle are visualized.

[0034] According to a second aspect of the present disclosure, a parameter determination apparatus for a fuel cell is provided, the apparatus comprising:

[0035] The acquisition module is used to acquire multiple operational data of the vehicle within a set time range;

[0036] The first determining module is used to determine the target current of the vehicle's fuel cell based on the multiple operating data.

[0037] The second determining module determines the decay rate and decay speed of the fuel cell based on the target current and the multiple operating data.

[0038] According to a third aspect of the present disclosure, an electronic device is provided, comprising:

[0039] A memory on which computer programs are stored;

[0040] A processor is configured to execute the computer program in the memory to implement the steps of the parameter determination method for a fuel cell provided in the first aspect of this disclosure.

[0041] The above technical solution acquires multiple operating data points of the vehicle within a set time range; the target current of the vehicle's fuel cell is determined using these multiple operating data points; and the degradation rate and degradation speed of the fuel cell are determined based on the target current and the multiple operating data points. By calculating the degradation rate and degradation speed of the vehicle's fuel cell within the set time range, the degradation state of the vehicle's fuel cell at different times can be monitored, and theoretical support can be provided for subsequent fuel cell operation optimization strategies.

[0042] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0043] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0044] Figure 1 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0045] Figure 2 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0046] Figure 3 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0047] Figure 4 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0048] Figure 5 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0049] Figure 6 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment.

[0050] Figure 7 This is a block diagram illustrating a parameter determination device 700 for a fuel cell according to an exemplary embodiment.

[0051] Figure 8 This is a block diagram illustrating an electronic device 800 according to an exemplary embodiment. Detailed Implementation

[0052] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0053] It should be noted that all actions involving the acquisition of signals, information, or data in this disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the location is situated, and with authorization from the owner of the relevant device.

[0054] Figure 1 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 1 As shown, when applied to a big data platform, this method includes the following steps:

[0055] In step S11, multiple operating data of the vehicle within a set time range are acquired.

[0056] For example, in the embodiments described in this disclosure, the vehicle is a hydrogen fuel cell vehicle, using hydrogen as its primary energy source. The fuel cell converts hydrogen and oxygen into electrical energy, which drives an electric motor to propel the vehicle. A big data platform is a system integrating technologies and services that can process, store, analyze, and manage large amounts of data. It supports data collection, cleaning, integration, analysis, and visualization. Therefore, the operating data of each vehicle connected to the big data platform can be periodically collected, cleaned, integrated, analyzed, and visualized. It is understood that the state of the vehicle's fuel cell, energy conversion rate, and degradation rate may vary significantly due to different external environments within different time intervals. Therefore, the multiple operating data can be multiple operating data points for the vehicle within a set time range; for example, the set time can be one month, one quarter, one year, etc. For instance, at the end of each quarter, the big data platform can trigger the acquisition of multiple operating data points for that quarter, and clean, integrate, analyze, and visualize these multiple operating data points respectively. The cleaned, integrated, analyzed, and visualized operating data and results can also be stored in the big data platform. Furthermore, the present disclosure allows multiple operational data points for each vehicle to be stored in a database associated with a big data platform. For example, each data table in the database can store multiple operational data points for different vehicles, and the row values ​​of the data tables can be used to represent one operational data point, while the column values ​​can be used to represent one or more parameters.

[0057] In one possible implementation, if multiple operational data of a vehicle for a certain quarter are to be obtained, a set of vehicle operational data in a big data platform can be obtained before obtaining the multiple operational data. Based on the data collection time corresponding to each operational data in this operational data set, it can be determined whether each operational data spans quarters. If cross-quarter data exists, it is divided according to quarters to obtain operational data sets for different quarters. Finally, the multiple operational data of the vehicle are obtained from the target quarter set.

[0058] Furthermore, each operational data point may include: fuel cell stack output voltage, fuel cell stack output current, fuel cell stack output power, fuel cell operating status code, vehicle operating time, data acquisition time, etc. It is understood that the parameters for each of these operational data points are not all the parameters for that specific operational data point. It is understood that in this operational data point, fuel cell stack output voltage × fuel cell stack output current = fuel cell stack output power; this fuel cell stack power can be calculated by the vehicle and reported to the big data platform, or it can be calculated in the big data platform based on the fuel cell stack output voltage and output current reported by the vehicle. Similarly, other parameters that need to be calculated in this operational data point can be calculated by the vehicle or by the big data platform; this disclosure does not impose any restrictions on this.

[0059] Optionally, after acquiring the multiple operating data, the method further includes deleting null values ​​and abnormal 0 values ​​from the multiple operating data, and deleting operating data in which the power battery is in a charging state.

[0060] In step S12, the target current of the vehicle's fuel cell is determined using the multiple operating data.

[0061] In step S13, the decay rate and decay speed of the fuel cell are determined based on the target current and the multiple operating data.

[0062] For example, calculating the degradation rate and degradation speed of a fuel cell is crucial for the performance evaluation and prediction of fuel cell systems. Firstly, by calculating the degradation rate and degradation speed, the performance of the fuel cell system can be evaluated, helping vehicle owners and researchers understand the stability and long-term performance of the vehicle's fuel cell system, providing theoretical and data support for subsequent research and development. Secondly, the degradation rate and degradation speed can also help predict the lifespan of the vehicle's fuel cell system, facilitating periodic maintenance and replacement. Thirdly, the degradation rate and degradation speed also help monitor the performance of the fuel cell system in real time, promptly identifying and adjusting any problems to maintain the fuel cell system in optimal operating condition. Therefore, calculating the degradation rate and degradation speed of a fuel cell is essential for the performance analysis, lifespan prediction, and optimization of fuel cell systems, contributing to improved system reliability and durability.

[0063] The above technical solution acquires multiple operating data points of the vehicle within a set time range; the target current of the vehicle's fuel cell is determined using these multiple operating data points; and the degradation rate and degradation speed of the fuel cell are determined based on the target current and the multiple operating data points. By calculating the degradation rate and degradation speed of the vehicle's fuel cell within the set time range, the degradation state of the vehicle's fuel cell at different times can be monitored, and theoretical support can be provided for subsequent fuel cell operation optimization strategies.

[0064] Figure 2 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 2 As shown, each of the multiple operating data includes: fuel cell stack output power. Step S12 includes the following steps:

[0065] In step S121, the power range to which each operating data belongs is determined based on the output power of the fuel cell stack in each operating data; wherein each power range corresponds to at least one operating data.

[0066] For example, the output power of a fuel cell stack is a dynamically changing value. The degradation rate and degradation speed of the fuel cell may also differ when it operates in different power ranges. Therefore, different fuel cells can be divided into multiple power ranges based on the rated power of the vehicle's fuel cell. Thus, the power range described in each operating data point can be determined based on the fuel cell stack output power in each operating data point. Therefore, each power range can correspond to at least one operating data point.

[0067] For example, when the rated power of the fuel cell is 15 kW, the rated power of the vehicle fuel cell can be divided into three different power ranges: the first power range is (0-5 kW), the second power range is (5-10 kW), and the third power range is (10-15 kW). If the output power of the fuel cell stack in any operating data is 6 kW, then the operating data belongs to the second power range; if the output power of the fuel cell stack in any operating data is 4.5 kW, then the operating data belongs to the first power range; and if the output power of the fuel cell stack in any operating data is 12 kW, then the operating data belongs to the third power range.

[0068] It is understood that the power range can also be a preset range in a big data platform. Therefore, this disclosure does not limit the number of power ranges.

[0069] In step S122, the target current corresponding to the power range is determined based on the at least one operating data corresponding to the power range.

[0070] For example, typically, as a fuel cell is used, the fuel cell current changes accordingly. Fuel cells with excessively high degradation rates and rates often experience a decrease in the fuel cell stack output current due to degradation. Therefore, the target current for each power range can be determined by the fuel cell stack output current of at least one operating data point corresponding to each power range.

[0071] Figure 3 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 3 As shown, each of the multiple operating data includes: fuel cell stack output current. Step S12 includes the following steps:

[0072] In step S1221, the fuel cell stack output current that appears most frequently is determined from the at least one operating data corresponding to the power range.

[0073] In step S1222, the fuel cell current that appears most frequently in the power range is taken as the target current for the power range.

[0074] Optionally, in one possible embodiment, the target current can be the fuel cell stack output current that appears most frequently in at least one operating data point corresponding to each power range, that is, the mode of the output currents of at least one fuel cell stack can be used as the target current. In another possible embodiment, the median of the output currents of at least one fuel cell stack can be used as the target current, or the average value of the output currents of at least one fuel cell stack can also be used as the target current.

[0075] Figure 4 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 4 As shown, each of the multiple operating data includes: fuel cell stack output power, fuel cell stack output current, average single cell voltage of the fuel cell, and fuel cell operating time. Step S13 includes the following steps:

[0076] In step S131, at least one target operating data is determined based on the fuel cell stack output current and the target current of each operating data in the at least one operating data corresponding to the power range.

[0077] For example, at least one target operating data corresponding to a power range can be determined based on the fuel cell stack output current and the target current of each operating data in at least one operating data corresponding to any power range. For instance, when the fuel cell stack output current and the target current of any operating data in at least one operating data corresponding to the power range are equal, the operating data can be used as a target operating data corresponding to the power range.

[0078] Optionally, for each of the at least one operating data corresponding to the power range, if the difference between the fuel cell stack output current and the target current of the operating data is within a set range, the operating data is determined as the target operating data.

[0079] For example, if the difference between the fuel cell stack output current and the target current of any one of the operating data in any power range is within a specified range, the operating data can be used as the target operating data for that power range. Similarly, each power range may have at least one corresponding target data.

[0080] Optionally, after determining at least one target operating data corresponding to any power range, to avoid the impact of abnormal values ​​in the fuel cell stack output current in the at least one target operating data on the degradation rate of the fuel cell in that power range, target operating data with abnormal fuel cell stack output current can be filtered out from the at least one target operating data. For example, non-continuous target operating data with other target operating data can be filtered out from the at least one target operating data, wherein the non-continuous target operating data refers to the at least one target operating data that does not contain operating data immediately preceding or immediately following the target operating data among the plurality of operating data.

[0081] In step S132, the degradation rate of the fuel cell in the power range is determined based on the average single cell voltage of the fuel cell in each target operating data.

[0082] For example, in a fuel cell, the single-cell voltage refers to the voltage output of a single fuel cell unit. Over time, the performance of a fuel cell unit may degrade, causing the single-cell voltage to change accordingly. Therefore, the degradation rate of a fuel cell in any given power range can be determined by the average single-cell voltage of the fuel cell in each of at least one target operating data point corresponding to any given power range.

[0083] Alternatively, the degradation rate of the fuel cell in this power range can be determined using the following formula:

[0084]

[0085] Where μ represents the decay rate of the fuel cell in this power range;

[0086] K represents the amount of data for the at least one target operation;

[0087] This represents the average single-cell voltage of the fuel cell from the first J target operating data points, arranged in ascending order of fuel cell operating time for at least one target operating data point; U j This represents the average single-cell voltage of the fuel cell in the j-th target operating data among the first J target operating data;

[0088] U represents the average value of the average single-cell voltage of the fuel cell in the last I target operating data sets, arranged in ascending order of fuel cell operating time for the at least one target operating data set; i This represents the average single-cell voltage of the fuel cell in the i-th running data among the subsequent I target running data.

[0089] In step S133, the degradation rate of the fuel cell in the power range is determined based on the average single cell voltage and the fuel cell operating time in each target operating data.

[0090] For example, the degradation rate of a fuel cell is a parameter used to measure the relationship between fuel cell performance and time. The degradation rate of a fuel cell is interdependent with the average cell voltage of the fuel cell. Therefore, the degradation rate of the fuel cell in any power range can be determined based on the average cell voltage and the fuel cell operating time in at least one target operating data corresponding to any power range.

[0091] Figure 5 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 5 As shown, step S133 includes the following steps:

[0092] In step S1331, the average single cell voltage of the fuel cell and the working time of the fuel cell in each target operating data are linearly fitted to determine the fitting function.

[0093] In step S1332, the slope of the fitted function is used as the decay rate of the fuel cell in that power range.

[0094] For example, the fuel cell operating time of the at least one target operating data can be used as the independent variable and the average single-cell voltage of the fuel cell as the dependent variable for linear fitting. After determining the fitting function, the slope of the fitting function can be used as the degradation rate of the fuel cell in that power range. The linear fitting method may include the least squares method, the step descent method, etc., and this disclosure does not limit it.

[0095] Optionally, the big data platform can store multiple operating data for each vehicle associated with the big data platform, and automatically determine the decay rate and decay speed of the fuel cell of each vehicle in each power range using the method described in the embodiments of this disclosure when a specified time is reached (such as the end of each month, the end of each quarter, etc.). The decay rate and decay speed of each power range calculated for each vehicle can be stored in the big data platform, and the data of at least one vehicle can be automatically visualized on the visualization interface of the big data platform using data visualization analysis methods such as line graphs, scatter plots, and tables. It is understood that this disclosure does not limit the way the data is displayed.

[0096] Figure 6 This is a flowchart illustrating a method for determining parameters of a fuel cell according to an exemplary embodiment, such as... Figure 6 As shown, the method also includes the following steps:

[0097] In step S14, the multiple operating data, attenuation rate, and attenuation speed of at least one vehicle are obtained from the big data platform according to the filtering conditions; wherein, the filtering conditions include at least one of the following: quarter, year, custom time interval, vehicle identification number, and vehicle announcement number.

[0098] In step S15, the plurality of operating data, the attenuation rate, and the attenuation speed of the at least one vehicle are visualized.

[0099] For example, the big data platform may include a visualization interface for analyzing and displaying the operating data of one or more vehicles, as well as the decay rate and decay speed in different power ranges, so that staff can intuitively observe changes in vehicle data. Furthermore, the visualization interface can also display data based on user-input filtering conditions, which may include one or more of the following: vehicle identification number, vehicle announcement number, quarter, month, data to be displayed, time range, etc. This disclosure does not limit the filtering conditions. Moreover, if the big data platform stores the decay rate and decay speed of a vehicle's fuel cell in different power ranges within the filtered time range, the decay rate and decay speed of the vehicle can be calculated using the method described in the embodiments of this disclosure, and then visualized after the calculation is completed.

[0100] For example, the degradation rate of all vehicles with the same announcement number can be used as the vertical axis, the fuel cell running time as the horizontal axis, and the degradation rate can be displayed as a bubble chart. Different power ranges can be distinguished by color, which can quickly and effectively present the degradation rate density and distribution.

[0101] The above technical solution acquires multiple operating data points of the vehicle within a set time range; the target current of the vehicle's fuel cell is determined using these multiple operating data points; and the degradation rate and degradation speed of the fuel cell are determined based on the target current and the multiple operating data points. By calculating the degradation rate and degradation speed of the vehicle's fuel cell within the set time range, the degradation state of the vehicle's fuel cell at different times can be monitored, and theoretical support can be provided for subsequent fuel cell operation optimization strategies.

[0102] Figure 7 This is a block diagram illustrating a parameter determination device 700 for a fuel cell according to an exemplary embodiment, such as... Figure 7 As shown, the device is applied to a big data platform. The device includes: an acquisition module 710, a first determination module 720, and a second determination module 730.

[0103] The acquisition module 710 is used to acquire multiple operating data of the vehicle within a set time range;

[0104] The first determining module 720 is used to determine the target current of the vehicle's fuel cell using the multiple operating data.

[0105] The second determining module 730 determines the decay rate and decay speed of the fuel cell based on the target current and the plurality of operating data.

[0106] Optionally, each of the plurality of operating data includes: fuel cell stack output power; the first determining module 720 includes: a first determining submodule and a second determining submodule.

[0107] The first determining submodule is used to determine the power range to which each piece of operating data belongs based on the output power of the fuel cell stack in each piece of operating data; wherein each power range corresponds to at least one piece of operating data;

[0108] The second determining submodule is used to determine the target current corresponding to the power range based on the at least one operating data corresponding to the power range.

[0109] Optionally, each of the plurality of operating data includes: fuel cell stack output current, and the second determining submodule is further configured to:

[0110] Determine the fuel cell stack output current that appears most frequently from at least one operating data point corresponding to that power range;

[0111] The fuel cell current that appears most frequently in the corresponding power range is taken as the target current for that power range.

[0112] Optionally, each of the plurality of operating data includes: fuel cell stack output power, fuel cell stack output current, average single cell voltage of fuel cell, and fuel cell operating time; the second determining module 730 includes: a third determining submodule, a fourth determining submodule, and a fifth determining submodule;

[0113] The third determining submodule is used to determine at least one target operating data based on the fuel cell stack output current and the target current of each operating data in at least one operating data corresponding to the power range;

[0114] The fourth determining submodule is used to determine the degradation rate of the fuel cell in the power range based on the average single cell voltage of the fuel cell in each target operating data.

[0115] The fifth determining submodule is used to determine the degradation rate of the fuel cell in the power range based on the average single cell voltage and the fuel cell operating time in each target operating data.

[0116] Optionally, the third determining submodule is further configured to determine the operating data as the target operating data when the difference between the fuel cell stack output current and the target current of the operating data is within a set range for each operating data in at least one operating data corresponding to the power range.

[0117] Optionally, the fourth determining submodule is also used to determine the degradation rate of the fuel cell in the power range using the following formula:

[0118]

[0119] Where μ represents the decay rate of the fuel cell in this power range;

[0120] K represents the amount of data for the at least one target operation;

[0121] This represents the average single-cell voltage of the fuel cell from the first J target operating data points, arranged in ascending order of fuel cell operating time for at least one target operating data point; U j This represents the average single-cell voltage of the fuel cell in the j-th target operating data among the first J target operating data;

[0122] U represents the average value of the average single-cell voltage of the fuel cell in the last I target operating data sets, arranged in ascending order of fuel cell operating time for the at least one target operating data set; i This represents the average single-cell voltage of the fuel cell in the i-th running data among the subsequent I target running data.

[0123] Optionally, the fifth determining submodule is also used for:

[0124] For each target operating data point, a linear fit is performed on the average single cell voltage of the fuel cell and the operating time of the fuel cell to determine the fitting function;

[0125] The slope of the fitted function is used as the decay rate of the fuel cell in that power range.

[0126] Optionally, the device 700 also includes: a visualization module;

[0127] This visualization module is used to obtain multiple operating data, the decay rate, and the decay speed of at least one vehicle from the big data platform according to filtering conditions; wherein the filtering conditions include at least one of: quarter, year, custom time interval, vehicle identification number, and vehicle announcement number;

[0128] The multiple operating data, the attenuation rate, and the attenuation speed of the at least one vehicle are visualized.

[0129] The above technical solution acquires multiple operating data points of the vehicle within a set time range; the target current of the vehicle's fuel cell is determined using these multiple operating data points; and the degradation rate and degradation speed of the fuel cell are determined based on the target current and the multiple operating data points. By calculating the degradation rate and degradation speed of the vehicle's fuel cell within the set time range, the degradation state of the vehicle's fuel cell at different times can be monitored, and theoretical support can be provided for subsequent fuel cell operation optimization strategies.

[0130] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0131] Figure 8 This is a block diagram illustrating an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be provided as a server, such as a big data platform. (See also...) Figure 8 The electronic device 800 includes a processor 822, which may be one or more, and a memory 832 for storing computer programs executable by the processor 822. The computer programs stored in the memory 832 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processor 822 may be configured to execute the computer program to perform the aforementioned method for determining the parameters of the fuel cell.

[0132] Additionally, the electronic device 800 may also include a power supply component 826 and a communication component 850. The power supply component 826 can be configured to perform power management of the electronic device 800, and the communication component 850 can be configured to enable communication of the electronic device 800, such as wired or wireless communication. Furthermore, the electronic device 800 may also include an input / output (I / O) interface 858. The electronic device 800 can operate on an operating system stored in the memory 832.

[0133] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described fuel cell parameter determination method. For example, the non-transitory computer-readable storage medium may be the memory 832 including the program instructions, which may be executed by the processor 822 of the electronic device 800 to complete the above-described fuel cell parameter determination method.

[0134] In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable device, the computer program having a code portion for performing the above-described method for determining parameters of a fuel cell when executed by the programmable device.

[0135] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0136] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0137] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method for determining parameters of a fuel cell, characterized in that, Applied to big data platforms, the method includes: Acquire multiple operational data points of the vehicle within a set time range; The target current of the vehicle's fuel cell is determined using the aforementioned multiple operating data. The degradation rate and degradation speed of the fuel cell are determined based on the target current and the multiple operating data. Each of the plurality of operating data includes: fuel cell stack output power and fuel cell stack output current. Determining the target current of the vehicle's fuel cell using the plurality of operating data includes: The power range to which each operating data belongs is determined based on the output power of the fuel cell stack in each operating data; wherein each power range corresponds to at least one operating data; the power range is any one of a plurality of power ranges divided by the rated power of the fuel cell; The target current corresponding to the power range is determined based on at least one operating data corresponding to the power range. Each of the plurality of operational data includes: the average single-cell voltage of the fuel cell and the fuel cell operating time; determining the degradation rate and degradation speed of the fuel cell based on the target current and the plurality of operational data includes: At least one target operating data is determined based on the fuel cell stack output current and the target current of each operating data in at least one operating data corresponding to the power range; The degradation rate of the fuel cell in the power range is determined based on the average single cell voltage of the fuel cell in each of the target operating data. The degradation rate of the fuel cell in the power range is determined based on the average single-cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data.

2. The method according to claim 1, characterized in that, Determining the target current corresponding to the power range based on at least one operating data corresponding to the power range includes: Determine the fuel cell stack output current that appears most frequently from at least one operating data corresponding to the power range; The fuel cell current that appears most frequently in the power range is taken as the target current for the power range.

3. The method according to claim 1, characterized in that, The step of determining at least one target operating data based on the fuel cell stack output current and the target current of each operating data corresponding to at least one operating data in the power range includes: For each operating data point in at least one operating data point corresponding to the power range, when the difference between the fuel cell stack output current and the target current of the operating data point is within a set range, the operating data point is determined as the target operating data point.

4. The method according to claim 1, characterized in that, Determining the degradation rate of the fuel cell in the power range based on the average single-cell voltage of the fuel cell in each of the target operating data includes: The degradation rate of the fuel cell in the power range is described by the following formula: in, This indicates the rate of decay of the fuel cell in the specified power range; Indicates the quantity of the at least one target running data; This indicates the order of the first or second target operating data, arranged in ascending order of fuel cell operating time. The average value of the average single cell voltage of the fuel cell in the target operating data; Indicates the preceding The first target running data The average single-cell voltage of the fuel cell in the target operating data; This indicates that the at least one target operating data is arranged in ascending order of fuel cell operating time. The average value of the average single cell voltage of the fuel cell in the target operating data; The following indicates The first target running data The average single-cell voltage of the fuel cell in the operational data.

5. The method according to claim 1, characterized in that, Determining the degradation rate of the fuel cell in the power range based on the average single-cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data includes: A linear fit is performed on the average single cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data to determine the fitting function; The slope of the fitted function is used as the decay rate of the fuel cell in the power range.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Based on the filtering criteria, the multiple operating data, the attenuation rate, and the attenuation speed of at least one vehicle are obtained from the big data platform; wherein, the filtering criteria include at least one of: quarter, year, custom time interval, vehicle identification number, and vehicle announcement number; The plurality of operating data, the attenuation rate, and the attenuation speed of the at least one vehicle are visualized.

7. A parameter determination device for a fuel cell, characterized in that, The device, applied to a big data platform, includes: The acquisition module is used to acquire multiple operational data of the vehicle within a set time range; The first determining module is used to determine the target current of the vehicle's fuel cell based on the multiple operating data. The second determining module determines the decay rate and decay speed of the fuel cell based on the target current and the multiple operating data. Each of the plurality of operating data includes: fuel cell stack output power and fuel cell stack output current. Determining the target current of the vehicle's fuel cell using the plurality of operating data includes: The power range to which each operating data belongs is determined based on the output power of the fuel cell stack in each operating data; wherein each power range corresponds to at least one operating data; the power range is any one of a plurality of power ranges divided by the rated power of the fuel cell; The target current corresponding to the power range is determined based on at least one operating data corresponding to the power range. Each of the plurality of operational data includes: the average single-cell voltage of the fuel cell and the fuel cell operating time; determining the degradation rate and degradation speed of the fuel cell based on the target current and the plurality of operational data includes: At least one target operating data is determined based on the fuel cell stack output current and the target current of each operating data in at least one operating data corresponding to the power range; The degradation rate of the fuel cell in the power range is determined based on the average single cell voltage of the fuel cell in each of the target operating data. The degradation rate of the fuel cell in the power range is determined based on the average single-cell voltage of the fuel cell and the fuel cell operating time in each of the target operating data.

8. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-6.

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