Fuel cell lift load statistics method, device and equipment

Abstract

The application provides a fuel cell lifting load statistical method, device and equipment, the method comprises the following steps: according to the output power of the fuel cell system at multiple continuous time points in the vehicle operation process, the power change rate corresponding to multiple continuous time points is calculated; according to each power change rate, the lifting load judgment threshold and the lifting load judgment threshold, the pending lifting load period and the pending lifting load period are determined; the pending lifting load period is judged as the accurate lifting load period when the lifting load and the lifting load length are greater than or equal to the corresponding threshold, and the pending lifting load period is judged as the accurate lifting load period when the lifting load and the lifting load length are greater than or equal to the corresponding threshold. The application designs multi-layer judgment logic, which can effectively improve the accuracy of the judgment result and ensure the reliability of the fuel cell lifting load statistical scheme.

Description

Technical Field

[0001] This application relates to the field of fuel cell technology, specifically to a fuel cell load balancing statistical method, apparatus, and equipment. Background Technology

[0002] Fuel cell load scaling refers to the process by which a fuel cell increases or decreases its output power in response to changes in load, significantly impacting its performance and lifespan. Currently, fuel cell load scaling statistics typically rely on manual judgment, which reduces efficiency. To improve efficiency, automated decision-making logic needs to be designed.

[0003] In related technologies, if the output power at the current moment is greater than the output power at the previous moment, the fuel cell system is determined to be in an increased load state at the current moment; if the output power at the current moment is less than the output power at the previous moment, the fuel cell system is determined to be in a decreased load state at the current moment. However, this judgment logic is too simplistic, the accuracy of the judgment result is low, and the reliability of fuel cell load increase / decrease statistical schemes based on this judgment logic is low. Summary of the Invention

[0004] This application provides a method, apparatus, and equipment for statistical analysis of fuel cell load changes, which can solve the technical problem of low reliability of automated statistical analysis of fuel cell load changes in related technologies.

[0005] In a first aspect, embodiments of this application provide a method for statistical analysis of fuel cell load changes, the method comprising:

[0006] Based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation, the power change rate corresponding to multiple consecutive moments is calculated.

[0007] Based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold, the undetermined load increase period and the undetermined load decrease period are determined. In the undetermined load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and in the undetermined load decrease period, the power change rate corresponding to each moment is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero, and the load decrease judgment threshold is less than zero.

[0008] The undetermined loading period when both the loading amount and loading duration are greater than or equal to the corresponding threshold are determined as the accurate loading period, and the undetermined unloading period when both the unloading amount and unloading duration are greater than or equal to the corresponding threshold are determined as the accurate unloading period.

[0009] Furthermore, in one embodiment, the power change rate for N consecutive periods after the undetermined load increase period is less than the load increase judgment threshold.

[0010] The power change rate for M consecutive periods after the undetermined load reduction period is greater than the load reduction judgment threshold.

[0011] Where N and M are both positive integers greater than 1.

[0012] Further, in one embodiment, the step of determining the pending load increase period and the pending load decrease period based on each power change rate, the load increase judgment threshold, and the load decrease judgment threshold includes:

[0013] Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold.

[0014] If the current power change rate is greater than or equal to the load increase judgment threshold, then mark the time corresponding to the current power change rate as the load increase start time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn until the current power change rate is less than the load increase judgment threshold. Then mark the time corresponding to the previous power change rate as the load increase end time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn.

[0015] If the power change rate is less than the load judgment threshold for N consecutive times after the load increase end time, the undetermined load increase period is determined based on the load increase start time and load increase end time.

[0016] Starting from the (N+1)th power change rate after the end of the load increase, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load decrease judgment threshold in turn.

[0017] Further, in one embodiment, the step of determining the pending load increase period and the pending load decrease period based on each power change rate, the load increase judgment threshold, and the load decrease judgment threshold includes:

[0018] Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold.

[0019] If the current power change rate is less than or equal to the load reduction judgment threshold, then mark the time corresponding to the current power change rate as the load reduction start time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn until the current power change rate is greater than the load reduction judgment threshold. Then mark the time corresponding to the previous power change rate as the load reduction end time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn.

[0020] If the power change rate of M consecutive times after the end of the load reduction is greater than the load reduction judgment threshold, then the undetermined load reduction period is determined based on the start and end times of the load reduction.

[0021] Starting from the (M+1)th power change rate after the end of the load reduction, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load reduction judgment threshold in turn.

[0022] Furthermore, in one embodiment, the absolute value of the load reduction judgment threshold is greater than the absolute value of the load increase judgment threshold.

[0023] Furthermore, in one embodiment, the fuel cell load increase / decrease statistics method further includes:

[0024] Calculate the total number and total duration of all accurate load-raising periods; and / or

[0025] Calculate the total number and total duration of all accurate load reduction periods.

[0026] Furthermore, in one embodiment, before the step of calculating the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation, the method further includes:

[0027] The real-time output power is calculated based on the real-time output current and real-time output voltage of the fuel cell system during vehicle operation.

[0028] The real-time output power is denoised, interpolated, and smoothed to obtain the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0029] Furthermore, in one embodiment, the formula for calculating the power change rate is as follows:

[0030] K i =(W i+n -W i ) / (t i+n -t i )

[0031] Among them, K i Let W be the rate of change of power at time i. i Let t be the output power at time i. i Let n be the time value at the i-th moment, where n is a positive integer.

[0032] Secondly, embodiments of this application also provide a fuel cell load-bearing statistics device, the fuel cell load-bearing statistics device comprising:

[0033] The calculation module is used to calculate the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0034] The initial selection module is used to determine the pending load increase period and the pending load decrease period based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold. In the pending load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and in the pending load decrease period, the power change rate corresponding to each moment is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero, and the load decrease judgment threshold is less than zero.

[0035] The final selection module is used to determine the undetermined load-raising period when both the load-raising amount and the load-raising duration are greater than or equal to the corresponding threshold as the accurate load-raising period, and to determine the undetermined load-lowering period when both the load-lowering amount and the load-lowering duration are greater than or equal to the corresponding threshold as the accurate load-lowering period.

[0036] Thirdly, this application also provides a fuel cell load increase / decrease statistics device, which includes a processor, a memory, and a fuel cell load increase / decrease statistics program stored in the memory and executable by the processor. When the fuel cell load increase / decrease statistics program is executed by the processor, it implements the steps of the above-described fuel cell load increase / decrease statistics method.

[0037] This application designs a multi-layer judgment logic. After determining the pending load increase period and pending load decrease period based on the power change rate, load increase judgment threshold, and load decrease judgment threshold, it further filters the accurate load increase period from the pending load increase period based on the load increase amount and load increase duration, and filters the accurate load decrease period from the pending load decrease period based on the load decrease amount and load decrease duration. This effectively improves the accuracy of the judgment results and ensures the reliability of the fuel cell load increase and decrease statistics scheme. Attached Figure Description

[0038] Figure 1 This is a flowchart illustrating the fuel cell load increase / decrease statistics method in one embodiment of this application;

[0039] Figure 2 This is a schematic diagram illustrating the principle of determining the undetermined load-raising period in one embodiment of this application;

[0040] Figure 3 for Figure 1 A detailed flowchart of step S12;

[0041] Figure 4 This is a schematic diagram of the functional modules of the fuel cell load-lifting and load-statistical device in one embodiment of this application;

[0042] Figure 5This is a schematic diagram of the hardware structure of the fuel cell load-lifting and load-statistical device involved in the embodiments of this application. Detailed Implementation

[0043] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0044] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0045] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0046] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0047] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0049] In a first aspect, embodiments of this application provide a method for statistical analysis of fuel cell load changes.

[0050] Figure 1 A flowchart illustrating a fuel cell load scaling and balancing statistical method according to an embodiment of this application is shown.

[0051] Reference Figure 1 In one embodiment, the fuel cell load balancing statistics method includes the following steps:

[0052] S11. Calculate the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0053] In this embodiment, the power change rate is used to reflect the change of output power over time. It can be understood that during the load increase process, the output power increases with time, and the corresponding power change rate for that time period is greater than zero; during the load decrease process, the output power decreases with time, and the corresponding power change rate for that time period is less than zero. Therefore, based on the power change rate at each moment, the load increase / decrease state of the fuel cell system can be analyzed.

[0054] Furthermore, in one embodiment, the method further includes the following step before step S11:

[0055] The real-time output power is calculated based on the real-time output current and real-time output voltage of the fuel cell system during vehicle operation.

[0056] The real-time output power is denoised, interpolated, and smoothed to obtain the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0057] In this embodiment, sensors and data acquisition and remote connection devices are installed on the fuel cell vehicle. The data is transmitted to the computer system via wireless transmission or wired interface, and the collected raw data is processed to ensure the integrity and accuracy of the data.

[0058] Specifically, real-time output power equals the product of the corresponding real-time output current and real-time output voltage. Denoising is achieved by removing outlier and noisy data using big data analytics. Interpolation uses linear interpolation algorithms to fill in outlier, denoised, and missed data, ensuring data continuity. However, vehicle power failure may cause some data to be missed after the remote data acquisition equipment stops working. Smoothing replaces the original data with the average of several adjacent data points; for example, the average of the (i-2)th to (i+2)th output power values ​​replaces the ith output power value, thus reducing statistical errors caused by power fluctuations.

[0059] Furthermore, in one embodiment, the formula for calculating the power change rate is as follows:

[0060] K i =(W i+n -W i ) / (t i+n -t i )

[0061] Among them, K i Let W be the rate of change of power at time i. i Let t be the output power at time i. i Let n be the time value at the i-th moment, where n is a positive integer.

[0062] In this embodiment, the overall power change rate over a period of time is taken as the power change rate corresponding to the start time of that period.

[0063] S12. Based on the power change rate, load increase judgment threshold and load decrease judgment threshold, determine the pending load increase period and the pending load decrease period. In the pending load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and the power change rate corresponding to each moment in the pending load decrease period is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero, and the load decrease judgment threshold is less than zero.

[0064] In this embodiment, the load increase and load decrease judgment thresholds are used as preliminary screening criteria. Based on the relationship between each power change rate and the two thresholds, the load increase / decrease status of the fuel cell system at the corresponding moment is determined, thereby filtering out the undetermined load increase and undetermined load decrease periods from the vehicle operation process. For example, if the power change rate at multiple consecutive moments is greater than or equal to the load increase judgment threshold, then the time period extracted from the first and last moments of these moments is taken as the undetermined load increase period.

[0065] Furthermore, in one embodiment, the absolute value of the load reduction judgment threshold is greater than the absolute value of the load increase judgment threshold. This better reflects the actual situation where the load increase rate is slower than the load reduction rate, and helps to improve the accuracy of the judgment results.

[0066] Furthermore, in one embodiment, the power change rate of N consecutive periods after the undetermined load increase period is less than the load increase judgment threshold, and the power change rate of M consecutive periods after the undetermined load decrease period is greater than the load decrease judgment threshold, where N and M are both positive integers greater than 1.

[0067] In this embodiment, the screening criteria for the undetermined load increase period and the undetermined load decrease period are more stringent. On the basis that the power change rate within the undetermined period meets the corresponding threshold requirements for load increase and decrease, the power change rate within a period of time after the undetermined period also needs to meet the opposite threshold requirements, thereby ensuring that the load increase or decrease process is fully completed, which helps to improve the accuracy of the judgment results.

[0068] Figure 2 A schematic diagram illustrating the principle of determining the undetermined load-raising period in one embodiment of this application is shown.

[0069] Specifically, refer to Figure 2 If t a To t b All power change rates within the time period are greater than or equal to the load increase judgment threshold (K). 升 ), and t b+1 To t b+N If all power change rates within the time period are less than the load increase judgment threshold, then t a To t b The time period can be identified as the undetermined load increase period. Assume t... b+1 To t b+N If any power change rate within a time period is greater than or equal to the load increase judgment threshold, then t a To t b Time periods cannot be used as pending load increase periods. Similarly, pending load decrease periods can be determined, which will not be elaborated on here.

[0070] The following provides a method Figure 2 The algorithm implementation for the screening criteria is shown.

[0071] Figure 3 It shows Figure 1 A detailed flowchart of step S12.

[0072] Reference Figure 3 Furthermore, in one embodiment, step S12 specifically includes:

[0073] Starting with the first power change rate (i=1), the unprocessed power change rate is sequentially compared with the load increase judgment threshold and the load decrease judgment threshold until the current power change rate is greater than or equal to the load increase judgment threshold (K). i ≥K 升 Alternatively, the current power change rate is less than or equal to the load reduction judgment threshold (K). i ≤K 降 ).

[0074] K i ≥K 升 correspond Figure 3 The first branch in the process:

[0075] If the current power change rate is greater than or equal to the load increase judgment threshold, then the time corresponding to the current power change rate is marked as the load increase start time (t). a =t i The process continues, comparing the unprocessed power change rate with the load increase judgment threshold sequentially until the current power change rate is less than the load increase judgment threshold. The time corresponding to the previous power change rate is then marked as the load increase end time (t). b =t i-1 ), and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn;

[0076] If the power change rate is less than the load judgment threshold for N consecutive times after the load increase end time, the undetermined load increase period is determined based on the load increase start time and load increase end time.

[0077] Starting from the (N+1)th power change rate after the load increase ends (i = b + N + 1), return to the step of sequentially comparing the unprocessed power change rate with the load increase judgment threshold and the load decrease judgment threshold, that is, return to... Figure 3 The nodes after i=1 in the middle.

[0078] K i ≤K 降 correspond Figure 3 The second branch process in the middle:

[0079] If the current power change rate is less than or equal to the load reduction judgment threshold, then the time corresponding to the current power change rate is marked as the load reduction start time (t). c =t i The process continues, comparing the unprocessed power change rate with the load reduction threshold sequentially until the current power change rate exceeds the load reduction threshold. The time corresponding to the previous power change rate is then marked as the load reduction end time (t). d =t i-1 ), and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn;

[0080] If the power change rate of M consecutive times after the end of the load reduction is greater than the load reduction judgment threshold, then the undetermined load reduction period is determined based on the start and end times of the load reduction.

[0081] Starting from the (M+1)th power change rate after the load reduction end time (i = d + M+1), return to the step of sequentially comparing the unprocessed power change rate with the load increase judgment threshold and the load reduction judgment threshold, that is, return to Figure 3The nodes after i=1 in the middle.

[0082] S13. Determine the undetermined load-raising period when both the load-raising amount and the load-raising duration are greater than or equal to the corresponding threshold as the accurate load-raising period, and determine the undetermined load-lowering period when both the load-lowering amount and the load-lowering duration are greater than or equal to the corresponding threshold as the accurate load-lowering period.

[0083] Specifically, the formulas for calculating the load capacity and the load duration are as follows:

[0084] ΔW 升 =W b -W a

[0085] Δt 升 =t b -t a

[0086] Wherein, ΔW 升 For load capacity, W a W is the output power at the start of the undetermined load increase period. b The output power at the end of the undetermined load-raising period, Δt 升 For the load-up duration, t a t represents the time value of the start time of the undetermined load-raising period. b This is the time value for the end of the pending load-raising period.

[0087] The formulas for calculating the unloading amount and unloading duration are as follows:

[0088] ΔW 降 =W c -W d

[0089] Δt 降 =t d -t c

[0090] Wherein, ΔW 降 To reduce load, W c W represents the output power at the start of the undetermined load easing period. d The output power at the end of the undetermined load reduction period, Δt 降 To reduce the load duration, t c The time value t represents the start time of the undetermined load reduction period. d This is the time value for the end of the undetermined load reduction period.

[0091] Therefore, this embodiment designs a multi-layer judgment logic. After determining the pending load increase period and pending load decrease period based on the power change rate, load increase judgment threshold, and load decrease judgment threshold, it further filters out the accurate load increase period from the pending load increase period based on the load increase amount and load increase duration, and filters out the accurate load decrease period from the pending load decrease period based on the load decrease amount and load decrease duration. This effectively improves the accuracy of the judgment results and ensures the reliability of the fuel cell load increase and decrease statistics scheme.

[0092] Furthermore, in one embodiment, the fuel cell load balancing statistics method further includes:

[0093] Calculate the total number and total duration of all accurate load-raising periods; and / or

[0094] Calculate the total number and total duration of all accurate load reduction periods.

[0095] In this embodiment, the number and duration of fuel cell power load changes are counted to evaluate the system's energy utilization efficiency, energy conversion efficiency, response speed, control accuracy, and battery life.

[0096] Secondly, embodiments of this application also provide a fuel cell load-bearing statistics device.

[0097] Figure 4 A schematic diagram of the functional modules of a fuel cell load-lifting and load-statistical device in one embodiment of this application is shown.

[0098] Reference Figure 4 In one embodiment, the fuel cell load-bearing statistics device includes:

[0099] The calculation module 10 is used to calculate the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0100] The initial selection module 20 is used to determine the pending load increase period and the pending load decrease period based on the power change rate, the load increase judgment threshold and the load decrease judgment threshold. In the pending load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and the power change rate corresponding to each moment in the pending load decrease period is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero and the load decrease judgment threshold is less than zero.

[0101] The final selection module 30 is used to determine the pending load-raising period when both the load-raising amount and the load-raising duration are greater than or equal to the corresponding threshold as the accurate load-raising period, and to determine the pending load-lowering period when both the load-lowering amount and the load-lowering duration are greater than or equal to the corresponding threshold as the accurate load-lowering period.

[0102] Furthermore, in one embodiment, the power change rate for N consecutive periods after the undetermined load increase period is less than the load increase judgment threshold.

[0103] The power change rate for M consecutive periods after the undetermined load reduction period is greater than the load reduction judgment threshold.

[0104] Where N and M are both positive integers greater than 1.

[0105] Furthermore, in one embodiment, the initial selection module 20 is used for:

[0106] Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold.

[0107] If the current power change rate is greater than or equal to the load increase judgment threshold, then mark the time corresponding to the current power change rate as the load increase start time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn until the current power change rate is less than the load increase judgment threshold. Then mark the time corresponding to the previous power change rate as the load increase end time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn.

[0108] If the power change rate is less than the load judgment threshold for N consecutive times after the load increase end time, the undetermined load increase period is determined based on the load increase start time and load increase end time.

[0109] Starting from the (N+1)th power change rate after the end of the load increase, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load decrease judgment threshold in turn.

[0110] Furthermore, in one embodiment, the initial selection module 20 is used for:

[0111] Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold.

[0112] If the current power change rate is less than or equal to the load reduction judgment threshold, then mark the time corresponding to the current power change rate as the load reduction start time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn until the current power change rate is greater than the load reduction judgment threshold. Then mark the time corresponding to the previous power change rate as the load reduction end time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn.

[0113] If the power change rate of M consecutive times after the end of the load reduction is greater than the load reduction judgment threshold, then the undetermined load reduction period is determined based on the start and end times of the load reduction.

[0114] Starting from the (M+1)th power change rate after the end of the load reduction, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load reduction judgment threshold in turn.

[0115] Furthermore, in one embodiment, the absolute value of the load reduction judgment threshold is greater than the absolute value of the load increase judgment threshold.

[0116] Furthermore, in one embodiment, the fuel cell load-bearing statistics device further includes a statistics module for:

[0117] Calculate the total number and total duration of all accurate load-raising periods; and / or

[0118] Calculate the total number and total duration of all accurate load reduction periods.

[0119] Furthermore, in one embodiment, the fuel cell load-bearing statistics device further includes a processing module for: calculating the real-time output power based on the real-time output current and real-time output voltage of the fuel cell system during vehicle operation;

[0120] The real-time output power is denoised, interpolated, and smoothed to obtain the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

[0121] Furthermore, in one embodiment, the formula for calculating the power change rate is as follows:

[0122] K i =(W i+n -W i ) / (t i+n -t i )

[0123] Among them, K i Let W be the rate of change of power at time i. i Let t be the output power at time i. i Let n be the time value at the i-th moment, where n is a positive integer.

[0124] The functions of each module in the aforementioned fuel cell load increase / decrease statistics device correspond to the steps in the aforementioned fuel cell load increase / decrease statistics method embodiment, and their functions and implementation processes will not be described in detail here.

[0125] Thirdly, embodiments of this application provide a fuel cell load-bearing statistics device, which can be a personal computer (PC), laptop computer, server, or other device with data processing capabilities.

[0126] Figure 5A schematic diagram of the hardware structure of the fuel cell load-lifting and load-statistical device involved in the embodiment of this application is shown.

[0127] Reference Figure 5 In this embodiment of the application, the fuel cell load-bearing statistics device may include a processor, a memory, a communication interface, and a communication bus.

[0128] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0129] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces for interconnecting devices within the fuel cell load balancing statistical equipment, as well as interfaces for interconnecting the fuel cell load balancing statistical equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0130] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0131] The processor can be a general-purpose processor, which can call the fuel cell load increase / decrease statistics program stored in the memory and execute the fuel cell load increase / decrease statistics method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the fuel cell load increase / decrease statistics program is called can be referred to in the various embodiments of the fuel cell load increase / decrease statistics method of this application, and will not be repeated here.

[0132] Those skilled in the art will understand that Figure 5 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0133] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0134] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0135] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for statistical analysis of fuel cell load changes, characterized in that, The fuel cell load-bearing statistics method includes: Based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation, the power change rate corresponding to multiple consecutive moments is calculated. Based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold, the undetermined load increase period and the undetermined load decrease period are determined. In the undetermined load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and in the undetermined load decrease period, the power change rate corresponding to each moment is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero, and the load decrease judgment threshold is less than zero. A pending load-raising period where both the load increase and the load-raising duration are greater than or equal to the corresponding thresholds is determined as an accurate load-raising period. Similarly, a pending load-lowering period where both the load decrease and the load-lowering duration are greater than or equal to the corresponding thresholds is determined as an accurate load-lowering period. Specifically, the load increase is equal to the output power at the end of the pending load-raising period minus the output power at the beginning of the pending load-raising period; the load-raising duration is equal to the time value at the end of the pending load-raising period minus the time value at the beginning of the pending load-raising period; the load decrease is equal to the output power at the beginning of the pending load-lowering period minus the output power at the end of the pending load-lowering period; and the load-lowering duration is equal to the time value at the end of the pending load-lowering period minus the time value at the beginning of the pending load-lowering period.

2. The fuel cell load balancing statistics method as described in claim 1, characterized in that, The power change rate for N consecutive periods after the undetermined load increase period is less than the load increase judgment threshold. The power change rate for M consecutive periods after the undetermined load reduction period is greater than the load reduction judgment threshold. Where N and M are both positive integers greater than 1.

3. The fuel cell load balancing statistics method as described in claim 2, characterized in that, The steps for determining the pending load increase period and the pending load decrease period based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold include: Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold. If the current power change rate is greater than or equal to the load increase judgment threshold, then mark the time corresponding to the current power change rate as the load increase start time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn until the current power change rate is less than the load increase judgment threshold. Then mark the time corresponding to the previous power change rate as the load increase end time, and continue to compare the unprocessed power change rate with the load increase judgment threshold in turn. If the power change rate is less than the load judgment threshold for N consecutive times after the load increase end time, the undetermined load increase period is determined based on the load increase start time and load increase end time. Starting from the (N+1)th power change rate after the end of the load increase, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load decrease judgment threshold in turn.

4. The fuel cell load balancing statistics method as described in claim 2, characterized in that, The steps for determining the pending load increase period and the pending load decrease period based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold include: Starting from the first power change rate, the unprocessed power change rate is compared with the load increase judgment threshold and the load decrease judgment threshold in turn until the current power change rate is greater than or equal to the load increase judgment threshold, or the current power change rate is less than or equal to the load decrease judgment threshold. If the current power change rate is less than or equal to the load reduction judgment threshold, then mark the time corresponding to the current power change rate as the load reduction start time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn until the current power change rate is greater than the load reduction judgment threshold. Then mark the time corresponding to the previous power change rate as the load reduction end time, and continue to compare the unprocessed power change rate with the load reduction judgment threshold in turn. If the power change rate of M consecutive times after the end of the load reduction is greater than the load reduction judgment threshold, then the undetermined load reduction period is determined based on the start and end times of the load reduction. Starting from the (M+1)th power change rate after the end of the load reduction, return to the step of comparing the unprocessed power change rate with the load increase judgment threshold and the load reduction judgment threshold in turn.

5. The fuel cell load-bearing statistical method according to any one of claims 1 to 4, characterized in that, The absolute value of the load reduction judgment threshold is greater than the absolute value of the load increase judgment threshold.

6. The fuel cell load-bearing statistics method according to any one of claims 1 to 4, characterized in that, The fuel cell load-bearing statistics method also includes: Calculate the total number and total duration of all accurate load-raising periods; and / or Calculate the total number and total duration of all accurate load reduction periods.

7. The fuel cell load-bearing statistical method according to any one of claims 1 to 4, characterized in that, Before the step of calculating the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation, the method further includes: The real-time output power is calculated based on the real-time output current and real-time output voltage of the fuel cell system during vehicle operation. The real-time output power is denoised, interpolated, and smoothed to obtain the output power of the fuel cell system at multiple consecutive moments during vehicle operation.

8. The fuel cell load increase / decrease statistical method according to any one of claims 1 to 4, characterized in that, The formula for calculating the rate of change of power is as follows: in, Let be the rate of change of power at time i. Let be the output power at time i. Let n be the time value at the i-th moment, where n is a positive integer.

9. A fuel cell load-lifting and load-statistical device, characterized in that, The fuel cell load-bearing statistics device includes: The calculation module is used to calculate the power change rate corresponding to multiple consecutive moments based on the output power of the fuel cell system at multiple consecutive moments during vehicle operation. The initial selection module is used to determine the pending load increase period and the pending load decrease period based on the power change rate, the load increase judgment threshold, and the load decrease judgment threshold. In the pending load increase period, the power change rate corresponding to each moment is greater than or equal to the load increase judgment threshold, and in the pending load decrease period, the power change rate corresponding to each moment is less than or equal to the load decrease judgment threshold. The load increase judgment threshold is greater than zero, and the load decrease judgment threshold is less than zero. The final selection module is used to determine the undetermined load-raising period and the undetermined load-lowering period, where both the load increase and the load-lowering duration are greater than or equal to the corresponding thresholds, as accurate load-raising periods. Specifically, the load increase is equal to the output power at the end of the undetermined load-raising period minus the output power at the beginning of the undetermined load-raising period; the load-lowering duration is equal to the time value at the end of the undetermined load-raising period minus the time value at the beginning of the undetermined load-raising period; the load decrease is equal to the output power at the beginning of the undetermined load-lowering period minus the output power at the end of the undetermined load-lowering period; and the load decrease duration is equal to the time value at the end of the undetermined load-lowering period minus the time value at the beginning of the undetermined load-lowering period.

10. A fuel cell load-bearing statistics device, characterized in that, The fuel cell load increase / decrease statistics device includes a processor, a memory, and a fuel cell load increase / decrease statistics program stored in the memory and executed by the processor, wherein when the fuel cell load increase / decrease statistics program is executed by the processor, it implements the steps of the fuel cell load increase / decrease statistics method as described in any one of claims 1 to 8.

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