Simulation method of hydrogen fuel cell in vehicle performance simulation model and model

Abstract

The invention discloses a simulation method of a hydrogen fuel cell in a vehicle performance simulation model and the model, and relates to the technical field of gas electric vehicle performance simulation, and the simulation method comprises the following steps: constructing a power source model in vehicle performance simulation software; programming the power source model, and limiting input and output contents of the power source model; operating parameters of the hydrogen fuel cell are collected; establishing a corresponding relation for the collected operation parameters, and assigning a value to the power source model; establishing a control method of the hydrogen fuel cell to obtain a simulated hydrogen fuel cell model; and associating the simulated hydrogen fuel cell model to the whole vehicle performance simulation model for analogue simulation. According to the method, the hydrogen fuel cell model can be built in the vehicle performance simulation model under the condition that no fuel-electricity internal key design parameters exist, the problem of key parameter collection in the process of building the fuel cell model by a whole vehicle factory is solved, and meanwhile the accuracy of fuel cell vehicle performance simulation is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electric vehicle performance simulation technology, and in particular to a simulation method and model of a hydrogen fuel cell in a vehicle performance simulation model. BACKGROUND

[0002] The fuel cell model in the existing electric vehicle performance simulation model is mainly established by relying on key design parameter data of fuel electricity, and such fuel cell model has high complexity and professionalism, and is likely to involve commercial secrets, so that the parameters are difficult to collect.

[0003] CN114914495A relates to a hydrogen fuel cell stack fluid distribution simulation method for simplifying calculation difficulty, comprising: obtaining common manifold size and fuel cell flow channel size, creating a three-dimensional or two-dimensional geometric model of the hydrogen fuel cell stack; determining the inlet and outlet boundary conditions of the stack; creating a geometric model of the stack fluid distribution, simulating the local resistance loss caused by the geometric structure of the fuel cell stack common manifold distribution fluid by using the viscous force phase in the brinkman equation based on the porous medium, determining the local resistance loss coefficient through simulation; considering the roughness of the common manifold flow channel surface; calibrating the resistance loss coefficient through the inlet and outlet boundary conditions of the stack, adjusting the resistance coefficient of the battery flow channel to meet the requirements, and determining the resistance coefficient of the battery flow channel; after the model is built, the stack fluid distribution result is calculated through simulation. However, the existing technology still relies on the internal parameters of the stack for simulation modeling.

[0004] CN119864455A provides a modeling simulation method suitable for diversified hydrogen fuel cell systems, comprising: a human-computer interaction end, a database end and a simulation model end; the human-computer interaction end is a graphical interface for users to complete fuel cell system simulation model establishment and simulation result display; the fuel cell system simulation model establishment of the human-computer interaction end selects fuel cell system components in the component library of the human-computer interaction end, then determines the connection relationship between the selected components, sets the component model, inputs the component model parameters and other operations, completes the establishment of the simulation model, and finally dataizes and symbolizes the fuel cell system simulation model established by the user and saves it in a fixed format in the database end. However, the existing technology still performs simulation modeling based on the structure and internal parameters of the battery. SUMMARY

[0005] The present application aims to provide a simulation method and model of a hydrogen fuel cell in a vehicle performance simulation model, which can build a hydrogen fuel cell model in a vehicle performance simulation model without fuel electricity internal key design parameters, solve the problem of key parameter collection in building a fuel cell model for a vehicle manufacturer, and ensure the accuracy of fuel cell vehicle performance simulation.

[0006] The present application provides the following scheme

[0007] A simulation method of a hydrogen fuel cell in a vehicle performance simulation model, comprising the following steps:

[0008] S1, constructing a power source model in a vehicle performance simulation software;

[0009] S2, programming the power source model, limiting the input and output content of the power source model;

[0010] S3, collecting the operating parameters of the hydrogen fuel cell;

[0011] S4, establishing a corresponding relationship of the collected operating parameters, and assigning values to the power source model;

[0012] S5, establishing a control method of the hydrogen fuel cell, and obtaining a simulated hydrogen fuel cell model;

[0013] S6, associating the simulated hydrogen fuel cell model to the vehicle performance simulation model for simulation.

[0014] Further, the operating parameters include fuel cell stack power Ps, auxiliary system power PA, hydrogen flow Q, stack efficiency ηt and engine efficiency ηe obtained by hydrogen fuel cell calibration or real vehicle test.

[0015] Further, the step S4 includes compiling the operating parameters collected in step S3 into map parameters, and assigning values to the power source model constructed in step S1 by using the map parameters.

[0016] Further, the step S5 includes,

[0017] S51, generating a map graph based on the map parameters compiled in step S4, and obtaining the corresponding relationship between the fuel cell output power Pn and the hydrogen flow Q through the map graph, wherein ;

[0018] S52, respectively integrating Q and Pn with respect to time t to obtain hydrogen consumption ms and fuel cell electric quantity Ws;

[0019] S53, calculating the hydrogen-electric conversion ratio W1, 。

[0020] Further, the step S5 further includes,

[0021] S54, in the vehicle performance simulation model, converting the electric quantity Wb of the power battery into the equivalent hydrogen consumption mb, and the conversion method is, ;

[0022] S55, according to the driving mileage of the vehicle in the time t, calculating the total hydrogen consumption corresponding to the driving mileage and the hydrogen consumption per 100 kilometers, and the calculation method is,

[0023] In the formula, m is the total hydrogen consumption, m1 is the hydrogen consumption per 100 kilometers, and L is the driving mileage of the vehicle in the time t.

[0024] Further, the step S5 further comprises,

[0025] S56, the hydrogen consumption ms, the fuel cell electric quantity Ws, the hydrogen-electric conversion ratio W1, the total hydrogen consumption m and the hydrogen consumption per 100 kilometers m1 are displayed through the display.

[0026] Further, the step S5 further comprises, a map graph for synchronously establishing the corresponding relationship of the fuel cell output power Pn, the stack efficiency ηt and the engine efficiency ηe, for controlling the hydrogen consumption required by the fuel cell to generate the required power.

[0027] Further, the step S2 comprises, defining the input parameters as voltage V, current I and power P, the output parameters as current I and power P, and satisfying the power conservation constraint condition .

[0028] Further, the step S3 comprises, taking 1% of the rated power of the hydrogen fuel cell as the step length, collecting each operating parameter, covering the minimum power to the peak power interval.

[0029] A simulation hydrogen fuel cell model is constructed based on the simulation method of the hydrogen fuel cell in the vehicle performance simulation model.

[0030] Compared with the prior art, the present application has the following advantages:

[0031] The present application provides a simulation method and model of hydrogen fuel cell in vehicle performance simulation model, which simplifies the fuel cell model into a power source model and fuel consumption calibration or test data accumulation, completes the construction of the fuel cell model in the vehicle performance simulation model, and calculates the hydrogen consumption and hydrogen consumption per 100 kilometers through program control, solves the problem of relying on the key design parameters of fuel cell provided by the manufacturer to build the fuel cell model during the whole driving hydrogen consumption simulation, and ensures the accuracy of the fuel cell vehicle performance simulation. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application, and all other embodiments obtained by those of ordinary skill in the art without creative labor based on these drawings also belong to the protection scope of the present application.

[0033] Figure 1 is a schematic diagram of the flow of the simulation method of the hydrogen fuel cell in the vehicle performance simulation model according to the present application. Figure 1

[0034] Figure 2 is a schematic diagram of the specific flow of the control method of the hydrogen fuel cell according to the present application. Figure 2

[0035] Figure 3 is a schematic diagram of the external battery file of the power source model established in the vehicle performance simulation software according to the present application. Figure 3

[0036] Figure 4 is a schematic diagram of the operation interface of the input and output content of the power source model according to the present application. Figure 4

[0037] Figure 5 is a schematic diagram of the fuel cell test or calibration parameter map according to the present application. Figure 5

[0038] Figure 6 is a schematic diagram of the programming language of the control method of the hydrogen fuel cell according to the present application. Figure 6

[0039] Figure 7 is a schematic diagram of the correlation of the simulated hydrogen fuel cell model to the vehicle performance simulation model according to the present application. Figure 7

[0040] Figure 8 is a schematic diagram of the principle of the simulation of the correlation of the simulated hydrogen fuel cell model to the vehicle performance simulation model according to the present application. Figure 8 Specific embodiments

[0041] In order to make the purposes, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor also belong to the protection scope of the present application.

[0042] ​​​​​​​​The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in the description of the embodiments of the present application and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be understood that the terms "and / or", "at least one of", and "one or more of" as used herein, refer to and encompass any possible combinations of one or more of the associated listed items, including minor combinations, even if such combinations are not expressly mentioned herein.

[0043] It should be understood that the term "and / or" as used herein is merely an associative relationship of the associated objects, and means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, the character " / " herein generally means that the front and rear associated objects are in an "or" relationship.

[0044] It should be understood that although the terms first, second, third, etc. can be used in the embodiments of the present application to describe, these descriptions should not be limited to these terms. These terms are only used to distinguish the description. For example, without departing from the scope of the embodiments of the present application, the first can also be called the second, and similarly, the second can also be called the first.

[0045] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "upon" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if it is determined" or "if [a stated condition or event] is detected" can be interpreted to mean "upon determining" or "in response to determining" or "upon detecting [the stated condition or event]" or "in response to detecting [the stated condition or event]".

[0046] It should also be noted that the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a product or article comprising a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such product or article. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the product or article comprising the element.

[0047] It should be particularly noted that the symbols and / or numbers present in the specification, if not marked in the description of the drawings, are not drawing marks.

[0048] Embodiment 1, please refer to Figure 1 As shown in the embodiment, the embodiment provides a simulation method of a hydrogen fuel cell in a vehicle performance simulation model, comprising the following steps:

[0049] S1, constructing a power source model in a vehicle performance simulation software;

[0050] S2, programming the power source model, defining power source model input and output content;

[0051] S3, collecting the operating parameters of the hydrogen fuel cell;

[0052] S4, establishing a corresponding relationship of the collected operating parameters, and assigning values to the power source model;

[0053] S5, establishing a control method for the hydrogen fuel cell, and obtaining a simulated hydrogen fuel cell model;

[0054] S6, associating the simulated hydrogen fuel cell model to a vehicle performance simulation model for simulation.

[0055] Specifically, referring to Figure 3 As shown in the figure, the step S1 includes establishing a power source model in a vehicle performance simulation software, and in the embodiment, the CRUISE software is adopted, and the external battery is selected in the model library.

[0056] Referring to Figure 4 As shown in the figure, the step S2 includes defining the input parameters as voltage V, current I and power P, and the output parameters as current I and power P, and simultaneously satisfying the power conservation constraint condition The control is defined by using a programming language, which can be realized by a matlab statement or a simulink programming module.

[0057] The step S3 includes collecting the test data of the fuel cell calibration or the test vehicle carrying the fuel cell, and the test data or calibration data collection frequency is required to be collected once every 1% increase in the rated power of the fuel cell, and the collection interval is from the lowest collection power to the peak power allowed by the fuel cell. The lowest collection power is 1% of the rated power of the fuel cell. For example, in some embodiments, the rated power of the fuel cell is 100kW, and the peak power is 120kW. Therefore, from the start of the vehicle, the power of the fuel cell is collected once every 100kW x 1% = 1kW, that is, the power of the fuel cell is collected at 1kW, 2kW, 3kW, …, 100kW, 101kW, 102kW, …, 119kW, 120kW, and the lowest collection power is 1kW. The collected data includes operating parameters such as fuel cell stack power Ps, auxiliary system power PA, hydrogen flow Q, stack efficiency ηt and engine efficiency ηe, but not the design parameters and structural parameters inside the fuel cell itself.

[0058] The step S4 includes compiling the operating parameters collected in the step S3 into a map parameter, and using the map parameter to assign values to the power source model constructed in the step S1.

[0059] Referring to Figure 2As shown, the step S5 includes,

[0060] A map graph is generated based on the map parameters prepared in step S4, and a corresponding relationship between the fuel cell output power Pn and the hydrogen flow rate Q is obtained through the map graph, wherein ;

[0061] Referring to Figure 5 As shown, it is a map graph of fuel cell test or calibration parameters, wherein the horizontal coordinate a represents the fuel cell output power Pn, and the vertical coordinate b represents the hydrogen flow rate Q, and a one-to-one corresponding relationship is established therebetween, for example, when Pn=0kW, Q=0g / s; when Pn=16.13kW, Q=0.2081g / s; when Pn=29.86kW, Q=0.4117g / s; and so on; and then a continuous function is generated by using a cubic spline interpolation algorithm.

[0062] Meanwhile, a corresponding relationship is established between the fuel cell output power Pn, the stack efficiency ηt and the engine efficiency ηe, and a map graph can also be drawn, which is used to control the hydrogen consumption required for the fuel cell to generate the required power.

[0063] The hydrogen consumption ms and the fuel cell electric quantity Ws are obtained by respectively integrating Q and Pn with respect to time t;

[0064] Further, the hydrogen-electric conversion ratio W1 is calculated by real-time monitoring and conversion of the hydrogen-electric conversion ratio through the ratio of hydrogen to generated electric quantity, .

[0065] Then, the consumption of the power battery electric quantity converted into hydrogen is considered;

[0066] In the whole vehicle performance simulation model, the power battery electric quantity Wb is converted into the converted hydrogen consumption mb, and the conversion method is, ;

[0067] Meanwhile, according to the time of the vehicle mileage, the total hydrogen consumption of the mileage is obtained, and according to the change of the vehicle mileage, the hydrogen consumption per 100 kilometers is obtained

[0068] Specifically, according to the vehicle mileage in time t, the total hydrogen consumption corresponding to the mileage and the hydrogen consumption per 100 kilometers are calculated, and the calculation method is,

[0069] In the formula, m is the total hydrogen consumption, m1 is the hydrogen consumption per 100 kilometers, and L is the vehicle mileage in time t.

[0070] Specifically, the step S5 further includes,

[0071] The hydrogen consumption ms, fuel cell power Ws, hydrogen power conversion ratio W1, total hydrogen consumption m, and hydrogen consumption per 100 kilometers m1 are displayed through a display to obtain vehicle driving economy and power data, and a programming language for establishing a control method for the hydrogen fuel cell is shown in Figure 6 .

[0072] Specifically, the step S5 further includes synchronously establishing a map of the corresponding relationship of the fuel cell output power Pn, the stack efficiency ηt, and the engine efficiency ηe, which is used to control the hydrogen consumption required for the fuel cell to generate the required power.

[0073] Specifically, the step S2 includes defining the input parameters as voltage V, current I, and power P, the output parameters as current I and power P, and satisfying the power conservation constraint condition .

[0074] Specifically, the step S3 includes collecting various operating parameters with a step size of 1% of the rated power of the hydrogen fuel cell, covering the lowest collected power to the peak power interval.

[0075] Specifically, the step S6 includes performing follow-up control of the power battery output power and the fuel cell output power of the fuel cell vehicle according to the whole vehicle demand power in the simulation of the whole vehicle performance simulation model.

[0076] In the fuel cell vehicle simulation model, the power battery and the fuel cell of the fuel cell vehicle are controlled according to the whole vehicle demand power by adopting a reasonable distribution strategy, as shown in the simulation model of a certain fuel cell tractor in the embodiment Figure 7 , the fuel cell output power and the whole vehicle driving simulation demand power are controlled by a follow-up strategy, so as to achieve the purpose of higher vehicle simulation accuracy.

[0077] Specifically, please refer to Figure 8As shown, in the simulation simulation in the whole vehicle performance simulation model, the input of the fuel cell and the power battery power follow-up strategy control program is the motor power edrive_P and the battery power remaining percentage battery_SOC; the follow-up strategy control program is connected with the simulated hydrogen fuel cell model, and the fuel cell demand power Require_FC_P is output to the simulated hydrogen fuel cell model; the input of the simulated hydrogen fuel cell model is the battery demand power Require_FC_P and the whole vehicle platform voltage voltage, and the output is the fuel cell output power FC_P and the hydrogen consumption information H_consumption; specifically, the map of the fuel cell output power Pn and the hydrogen flow Q in the simulated hydrogen fuel cell model is input as the battery demand power Require_FC_P, and the output is the hydrogen consumption information H_consumption; finally, the driving parameter processing program is entered, the input is the motor power edrive_P, the battery power battery_P, the driving distance Distance, the fuel cell output power Require_FC_P and the hydrogen consumption information H_consumption, and the output is the whole vehicle signal that needs to be displayed in the display, including the driving distance L of the vehicle in the time t and the fuel cell power Ws, the vehicle speed v and the like; through the map of the fuel cell output power Pn and the hydrogen flow Q, the total hydrogen consumption m, the hydrogen consumption per 100 kilometers m1 and the hydrogen-electric conversion ratio W1 are also output as the whole vehicle signal that needs to be displayed.

[0078] The embodiment also provides a simulated hydrogen fuel cell model, which is constructed based on the simulation method of the hydrogen fuel cell in the vehicle performance simulation model.

[0079] Embodiment 2, please refer to Figure 1 As shown, the embodiment provides a simulation method of a hydrogen fuel cell in a vehicle performance simulation model, and specifically, the simulation method is based on the construction and performance simulation of a fuel cell simulation model of a fuel-electric heavy logistics tractor.

[0080] The embodiment is aimed at a 49-ton fuel-electric logistics tractor (trailing mass 35 tons), and simulates the climbing ability and endurance mileage of the 49-ton fuel-electric logistics tractor under long-distance trunk transportation working conditions (such as China heavy commercial vehicle cycle working condition CHTC-TT).

[0081] Step S1: constructing a power source model in a vehicle performance simulation software;

[0082] A tractor model is built in the CRUISE software, and the external battery model is selected for the power source module.

[0083] Step S2: programming the power source model, and limiting the input and output contents of the power source model;

[0084] The parameters are defined by Matlab script programming:

[0085] Input: voltage V (500~650V), current I (0~500A), power P (0~325kW)

[0086] Output: current I (consistent with input), power P (strictly meet )

[0087] Step S3: Collect the operating parameters of the hydrogen fuel cell;

[0088] The rated power of the fuel cell is 200kW, the peak power is 325kW, and the parameters are collected according to every 1% of the rated power (2kW), a total of 163 data points (2kW~325kW), and part of the data is as follows:

[0089] Table 1

[0090] Fuel cell stack power (kW) Auxiliary system power (kW) Hydrogen flow (g / s) Stack efficiency (%) Engine efficiency (%) 100 (50% rated) 8.5 1.1676 50 89 200 (100% rated) 15.2 2.4464 47 87 325 (peak) 22.6 4.0310 43 83

[0091] Step S4: Establish a corresponding relationship for the collected operating parameters, and assign values to the power source model;

[0092] Prepare map:

[0093] Map1: Correspondence between fuel cell output power Pn( ) and hydrogen flow rate Q;

[0094] Map2: Correspondence between fuel cell output power Pn, stack efficiency ηt and engine efficiency ηe;

[0095] Step S5: Establish a control method for the hydrogen fuel cell to obtain a simulated hydrogen fuel cell model;

[0096] When the vehicle travels at 80km / h on a 5% slope section, the demand power is 280kW, and the hydrogen intake amount is 3.4194g / s, i.e. 12.3kg / h, according to Map1, and the hydrogen intake amount is integrated for 10 minutes, the integral hydrogen intake amount is 2.05kg, the power generation amount is 46.7kWh (280kW×1 / 6h), and the hydrogen-electricity conversion ratio is 22.8kWh / kg;

[0097] When the power battery is supplemented with 50kWh, the hydrogen consumption is 2.19kg (50÷22.8);

[0098] The total hydrogen consumption is 68kg for 500km, and the hydrogen consumption per 100km is 13.6kg / 100km.

[0099] Step S6: Relate the simulated hydrogen fuel cell model to the vehicle performance simulation model for simulation;

[0100] Adopt the strategy of "fuel cell as the main, battery auxiliary climbing": flat road fuel cell output 80% rated power (160kW), climbing peak power 325kW and battery output.

[0101] Power simulation: 6% slope can be climbed at 30km / h speed, meeting the demand of main line transportation.

[0102] Economic simulation: CHTC-TT working condition, endurance ≥500km (hydrogen storage 70kg), deviation ≤4% with real vehicle test.

[0103] The above examples are only used to illustrate the technical solutions of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A simulation method for hydrogen fuel cells in a vehicle performance simulation model, characterized in that, Includes the following steps: S1. Construct a power source model in vehicle performance simulation software; S2. Program the power source model to limit the input and output content of the power source model; S3. Collect the operating parameters of the hydrogen fuel cell; S4. Establish a correspondence between the collected operating parameters and assign values ​​to the power source model; S5. Establish a control method for hydrogen fuel cells and obtain a simulated hydrogen fuel cell model. S6. Link the simulated hydrogen fuel cell model to the vehicle performance simulation model for simulation.

2. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 1, characterized in that, The operating parameters include fuel cell stack power Ps, auxiliary system power PA, hydrogen flow rate Q, stack efficiency ηt, and engine efficiency ηe, obtained from hydrogen fuel cell calibration or real vehicle testing.

3. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 2, characterized in that, Step S4 includes compiling the operating parameters collected in step S3 into map parameters, and using the map parameters to assign values ​​to the power source model constructed in step S1.

4. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 3, characterized in that, Step S5 includes, S51. Generate a map based on the map parameters compiled in step S4, and obtain the correspondence between the fuel cell output power Pn and the hydrogen flow rate Q through the map. ; S52. Integrate Q and Pn with respect to time t to obtain hydrogen consumption ms and fuel cell power Ws; S53. Calculate the hydrogen-to-electricity conversion ratio W1. .

5. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 4, characterized in that, Step S5 also includes, S54. In the vehicle performance simulation model, the battery capacity Wb is converted into the equivalent hydrogen consumption mb. The conversion method is as follows: ; S55. Based on the vehicle's mileage within time t, calculate the total hydrogen consumption corresponding to the mileage traveled, and the hydrogen consumption per 100 kilometers. The calculation method is as follows: In the formula, m is the total hydrogen consumption, m1 is the hydrogen consumption per 100 kilometers, and L is the vehicle's mileage within time t. S56. The hydrogen consumption ms, fuel cell power Ws, hydrogen-to-electricity conversion ratio W1, total hydrogen consumption m, and hydrogen consumption per 100 kilometers m1 are displayed on a screen.

6. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 5, characterized in that, Step S6 includes the following steps: the vehicle performance simulation model inputs the battery power demand and the vehicle platform voltage into the simulated hydrogen fuel cell model, and the simulated hydrogen fuel cell model outputs the fuel cell output power and hydrogen consumption information to the vehicle performance simulation model.

7. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 4, characterized in that, Step S5 further includes simultaneously establishing a map showing the relationship between fuel cell output power Pn, stack efficiency ηt, and engine efficiency ηe, which is used to control the amount of hydrogen consumed by the fuel cell to generate the required power.

8. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 1, characterized in that, Step S2 includes defining the input parameters as voltage V, current I, and power P, and the output parameters as current I and power P, while satisfying the power conservation constraint. .

9. The simulation method for hydrogen fuel cells in a vehicle performance simulation model according to claim 1, characterized in that, Step S3 includes collecting various operating parameters in increments of 1% of the rated power of the hydrogen fuel cell, covering the range from the lowest power to the peak power.

10. A model simulating a hydrogen fuel cell, characterized in that, It is constructed based on the simulation method of hydrogen fuel cells in vehicle performance simulation model according to any one of claims 1-9.

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