CN115453369A - Method for fuel cell consistency prediction and fault diagnosis - Google Patents

Method for fuel cell consistency prediction and fault diagnosis Download PDF

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CN115453369A
CN115453369A CN202211146198.5A CN202211146198A CN115453369A CN 115453369 A CN115453369 A CN 115453369A CN 202211146198 A CN202211146198 A CN 202211146198A CN 115453369 A CN115453369 A CN 115453369A
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performance
consistency
output characteristic
voltage
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CN115453369B (en
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万鑫铭
汤浩
邓波
高艳
毛占鑫
付娜
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Caic New Energy Technology Co ltd
China Automotive Engineering Research Institute Co Ltd
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China Automotive Engineering Research Institute Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/378Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
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Abstract

The invention belongs to the technical field of fuel cells, and particularly relates to a method for consistency prediction and fault diagnosis of a fuel cell, which comprises the following steps: firstly, presetting a fuel cell performance prediction model; and then, finding out operation parameters meeting the output performance characteristics of the fuel cell according to the fuel cell performance prediction model, using the operation parameters as standard output characteristic values of the fuel cell engine system, and comparing the real-time output characteristic values in the operation process of the fuel cell engine to perform fault diagnosis. The invention can solve the problems that the output performance of the fuel cell is predicted to be one-sided and the fault diagnosis is also one-sided in the prior art.

Description

Method for fuel cell consistency prediction and fault diagnosis
Technical Field
The invention belongs to the technical field of fuel cells, and particularly relates to a method for consistency prediction and fault diagnosis of a fuel cell.
Background
The fuel cell is a power generation device which directly converts chemical energy existing in fuel and oxidant into electric energy, and is commonly used in a fuel cell engine system, fuel and air are respectively fed into the fuel cell so as to rapidly generate electric energy, and the electric energy is used as a power driving device of an engine and does not generate sulfides and the like which pollute the air, so that the fuel cell has the advantages of high conversion efficiency, cleanness, no pollution, rapid start at room temperature and the like, and the fuel cell engine system is widely applied in the fields of aerospace, transportation and the like.
In the process of developing fuel cell engine systems, the performance, life and cost of fuel cells become the focus of increasing attention, and the performance of fuel cells can directly affect the life and cost of fuel cells, because the operation of fuel cells is accompanied by a series of complicated multi-parameter highly-coupled electrochemical reactions, and the output performance of fuel cells under different operating parameters can be different, so when testing the performance of fuel cells, appropriate operating parameters need to be set according to the characteristics of fuel cells, so as to ensure the stable performance of fuel cells, however, the process of finding appropriate operating parameters is very complicated, a large number of experimental tests are needed, and irreversible performance degradation of fuel cells is easily caused under extreme conditions, so that the life of fuel cell systems is affected, and the maintenance and use costs are increased.
At present, a large number of researches select to establish a fuel cell model to predict the output performance of the fuel cell under different operating parameters, and perform fault diagnosis of the fuel cell system based on the established fuel cell model, so that resource waste caused by experimental tests is avoided, but most of the researches on the fuel cell model are directed at the average voltage of a single fuel cell or a plurality of fuel cell stacks, the quality of the output performance of the single fuel cell and the consistency among the plurality of fuel cells can affect the whole output performance of the fuel cell stack, and the influence factors of the output performance of the fuel cell include steady-state characteristics and dynamic characteristics besides the consistency, so that the prediction of the output performance of the fuel cell is performed by only researching the average voltage among single cells or a plurality of cells or the consistency among the cells, the prediction result is relatively comprehensive, and the fault diagnosis of the fuel cell system is also not comprehensive.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for predicting the consistency of a fuel cell and diagnosing faults, so as to solve the problems that in the prior art, the output performance of the fuel cell is predicted by researching the average voltage between a single cell or a plurality of cells or the consistency between cells, so that the prediction result is relatively one-sided, and meanwhile, the fault diagnosis of a fuel cell system is not comprehensive enough.
The basic scheme provided by the invention is as follows: a method of fuel cell consistency prediction and fault diagnosis, comprising:
s1: presetting a fuel cell performance prediction model;
s2: inputting the set different fuel cell operation parameters into a fuel cell performance prediction model, finding out expected operation parameters meeting the fuel cell performance prediction model, and carrying out a fuel cell test experiment on the expected operation parameters to obtain standard output characteristic values meeting the performance requirements of the fuel cell at different working points;
s3: taking expected operation parameters as input in the running process of the fuel cell engine system, taking the standard output characteristic value as a standard, and comparing the actual output characteristic values and the standard output characteristic values of different working points of the fuel cell engine system in real time according to a preset error threshold value to generate a comparison result;
s4: and if the comparison result of the actual output of the fuel cell engine system and the node pressure characteristic value in the comparison result exceeds a preset error threshold value, performing fault diagnosis.
The principle and the advantages of the invention are as follows: the preset fuel cell performance prediction model is used for establishing a prediction model according to the characteristics of a fuel cell, different set operation parameters are input through the fuel cell performance prediction model, and are continuously input and verified to find out operation parameters meeting expectations, the operation parameters are defined as expected operation parameters, the expected operation parameters are more than one group, the expected operation parameters are used for representing the operation parameters capable of showing the output performance of the fuel cell, therefore, the expected operation parameters also need to be tested, whether the expected operation parameters can meet the output performance requirements of the fuel cell voltage saving in the actual application process can be verified through the test experiments, so that the expected operation parameters can meet not only the theoretical requirements, but also the requirements of the actual application, and the output results of the determined expected operation parameters at different working points in the fuel cell performance prediction model are used as the standard output characteristic values of the fuel cell.
And then in the operation process of the fuel cell engine system, the standard output characteristic value is taken as a standard, the actual output characteristic values of the fuel cell engine system at different working points are detected in real time and are compared with the standard output characteristic value, if the error between the actual output characteristic value at the current working point and the standard output characteristic value in the comparison result exceeds a preset error threshold value, the current working point of the fuel cell has a fault problem, so that fault detection can be carried out before the fault occurs, and the fuel cell engine system is prevented from being crashed.
Therefore, the fuel cell performance evaluation method has the advantages that the standard output characteristic value which can meet the output performance of the fuel cell is found out through establishing a fuel cell performance prediction model and an experimental test, the standard output characteristic value can be used as an evaluation standard of an output result in the whole fuel cell engine system, and the standard output characteristic value is used for representing the output performance of the fuel cell, so that the covered fuel cell has more characteristics, and compared with the evaluation of the consistency of the fuel cell voltage saving, the output performance evaluation range of the fuel cell performance evaluation method is more comprehensive, the evaluation index is more accurate, and the fault diagnosis is more comprehensive and accurate.
Further, the S1 includes:
s1-1: acquiring the power-saving voltage dynamic characteristic and the steady-state characteristic of the output current of the fuel cell in step change, and establishing the performance evaluation index of the fuel cell;
s1-2: establishing a fuel cell voltage-saving consistency evaluation index according to the standard deviation and the range of the voltage-saving of a plurality of batteries in the fuel cell stack;
s1-3: and establishing a fuel cell performance prediction model according to the fuel cell battery-saving performance evaluation index and the fuel cell voltage-saving consistency evaluation index.
Has the advantages that: the characteristics of the fuel cell are divided into a steady state characteristic, a dynamic characteristic and a voltage saving consistency, the performance of the fuel cell can be predicted and evaluated through the steady state characteristic and the dynamic characteristic, the output performance of the fuel cell stack can be predicted and evaluated through the voltage saving consistency, the two are combined and comprehensively judged, and the output performance of the fuel cell can be more comprehensively predicted and evaluated.
Further, the S2 includes:
s2-1: setting operation parameters of a plurality of groups of fuel cells, and inputting the operation parameters of the fuel cells as boundary conditions into a fuel cell performance prediction model;
s2-2: according to the performance evaluation index of the fuel cell at different working points of the fuel cell and the consistency evaluation index of the fuel cell voltage saving in the fuel cell performance prediction model, obtaining the steady-state characteristic, the dynamic characteristic and the consistency of the node voltage under different working points of the fuel cell, and generating an output result;
s2-3: comparing the output result with a preset expected value, if the comparison result is within a preset expected value error threshold, executing S2-4, otherwise, repeatedly executing S2-1 to S2-3;
s2-4: and (3) performing a fuel cell test experiment on the fuel cell operation parameters meeting the expected value error threshold, judging whether the experiment result meets the performance requirement of the fuel cell, if not, repeating the steps from S2-1 to S2-3, and if so, outputting a standard output characteristic value meeting the performance requirement of the fuel cell.
Has the advantages that: the steady state characteristic, the dynamic characteristic and the voltage saving consistency of the fuel cell can be effectively simulated according to the fuel cell performance prediction model, whether the steady state characteristic, the dynamic characteristic and the voltage saving consistency meet the output performance expectation of the fuel cell is judged through the output result, the expected operation parameter is obtained, the expected operation parameter is tested and verified to meet the output performance of the fuel cell, the model output result under the met condition is the standard output characteristic value of the fuel cell, and therefore the operation parameter meeting the output performance requirement of the fuel cell can be obtained through continuous testing and verification.
Further, the operating parameters of the fuel cell include fuel cell operating density, fuel cell operating pressure, fuel cell operating temperature, and reactant gas flow rate.
Has the advantages that: the operating density of the fuel cell, the operating pressure of the fuel cell, the operating temperature of the fuel cell and the flow rate of the reaction gas are used as operating parameters, so that the output performance difference of the fuel cell under the parameter condition can be obtained, and the optimal output performance of the fuel cell can be conveniently obtained.
Further, the S3 includes:
s3-1: obtaining a standard output characteristic value meeting the performance requirement of the fuel cell through a fuel cell performance prediction model and a fuel cell test experiment;
s3-2: applying the desired operating parameter to the fuel cell engine system;
s3-3: when the fuel cell engine system runs, comparing the real-time output characteristic value with the standard output characteristic value;
s3-4: and if the comparison error of the real-time output characteristic value and the standard output characteristic value exceeds a preset error threshold value, judging that the fuel cell engine system has a fault.
Has the beneficial effects that: the expected operating parameters which are expected operating parameters and are used as the input of the fuel cell engine system can be obtained through the fuel cell performance prediction model, the error difference between the output result and the standard output characteristic value does not exceed a preset error threshold value, and if the error difference exceeds the preset error threshold value, the fuel cell engine system has a fault, so that the fault of the fuel cell engine system can be detected and diagnosed in advance, and the system breakdown caused by the fault in the actual operation process is avoided.
Drawings
FIG. 1 is a block flow diagram of a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a step process of the output current of the fuel cell according to the first embodiment of the present invention;
FIG. 3 is a diagram of an electrochemical model of a fuel cell according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram of the inconsistent voltage saving of the fuel cell according to the first embodiment of the present invention;
fig. 5 is a block diagram of a fuel cell performance prediction and fault diagnosis process according to a first embodiment of the present invention;
fig. 6 is a block diagram showing a flow of failure resolution of a fuel cell according to a second embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
in the actual operation of the fuel cell, the output performance of the fuel cell has a certain difference due to different external conditions, and the output performance of the fuel cell shows different characteristics when the fuel cell operates under different operating parameters, so that a set of performance evaluation indexes capable of reflecting the characteristics of the fuel cell is needed for better comparing the output performance of the fuel cell under different conditions, so as to evaluate the quality of the output performance of the fuel cell, and the performance evaluation indexes can be used for predicting and diagnosing the fault of the fuel cell system.
Therefore, the present application provides a method for fuel cell consistency prediction and fault diagnosis, specifically comprising:
the first embodiment is as follows:
an embodiment substantially as shown in figures 1 and 5: a method of fuel cell consistency prediction and fault diagnosis, comprising:
s1: presetting a fuel cell performance prediction model;
wherein, S1 includes:
s1-1: acquiring the dynamic characteristic and the steady-state characteristic of the voltage-saving of the fuel cell output current during transition, and establishing the performance evaluation index of the fuel cell;
s1-2: establishing a fuel cell voltage-saving consistency evaluation index according to the standard deviation and the range of the voltage-saving of a plurality of batteries in the fuel cell stack;
s1-3: and establishing a fuel cell performance prediction model according to the performance evaluation index of the fuel cell and the fuel cell voltage-saving consistency evaluation index.
In the research of the prior art, the output performance characteristic of the fuel cell is generally represented by the output voltage of the fuel cell under the given current output, therefore, the fuel cell performance prediction model established by the application is mainly established by aiming at the output voltage of the fuel cell; as shown in FIG. 2, in the present embodiment, the output current of the fuel cell is changed from I in a stepwise manner by examining the output current 0 Increase to I 1 When the output current is I, undershoot occurs in the fuel cell's saving voltage, and thus it can be found that when the output current is I 0 The amplitude of the node voltage is V 0 (ii) a When the output current step increases to I 1 When the voltage is reduced to V, the voltage is reduced to V instantaneously 1 Then gradually increase and return to V Therefore, during this entire process, the node voltage is from V 0 To V 1 Is defined as Δ V 1 Indicating that the fuel cell DC source is in current from I 0 Step to I 1 The voltage remaining after the activation loss, ohmic loss, and concentration loss of the cell can be represented by Δ V 1 To characterize the steady state characteristics of the fuel cell under the current conditions; voltage-saving from V 1 Gradually returns to V Is called the recovery process of node voltage undershoot, and is defined as delta V 2 Denotes the process of gradually returning the fuel cell to a steady state through capacitance, inductance and internal resistance after loss, and therefore Δ V is used 2 The dynamic characteristics of the fuel cell under the current conditions are characterized.
Wherein the steady-state characteristic Δ V of the fuel cell 1 And dynamic characteristics Δ V 2 As shown in fig. 3, the steady-state characteristic Δ V of the fuel cell 1 The calculation formula is specifically as follows:
ΔV 1 =E cell -V act -V ohm -V con
E cell representing the Nernst voltage, V act Represents activation loss voltage, V ohm Representing ohmic loss voltage, V con Represents the concentration loss voltage;
wherein:
Figure BDA0003855367630000061
wherein, c 1 Is constant, i represents the fuel cell output current density;
Figure BDA0003855367630000062
Figure BDA0003855367630000063
Figure BDA0003855367630000064
Figure BDA0003855367630000065
wherein, T fc Which is indicative of the operating temperature of the fuel cell,
Figure BDA0003855367630000066
the hydrogen partial pressure of the anode is shown,
Figure BDA0003855367630000067
denotes the cathode oxygen partial pressure, P ca Denotes the fuel cell cathode pressure, P sat Represents the fuel cell saturated vapor pressure;
Figure BDA0003855367630000071
Figure BDA0003855367630000072
b 2 =b 11 λ m -b 12
wherein, t m Indicates the proton exchange membrane thickness, lambda, of the fuel cell m Denotes the water content of the proton exchange membrane, b 1 、b 11 、b 12 Represents a constant;
Figure BDA0003855367630000073
Figure BDA0003855367630000074
wherein i max Current density at which the performance of the fuel cell is drastically reduced, c 3 Is constant, resistance R act Representing activation loss, resistance R o h m Representing ohmic losses, resistance R con Indicating concentration loss.
Steady state characteristic DeltaV of fuel cell 2 The calculation formula is specifically as follows:
ΔV 2 =I×R L_para
wherein R is L_para Represents the internal resistance,:
Figure BDA0003855367630000075
Figure BDA0003855367630000076
wherein k, a 2 、r、a 3 Are all constants.
Therefore, the above-mentioned Δ V 1 And Δ V 2 In the present embodiment, the output performance characteristics of the fuel cell are used as the performance evaluation indexes of the single cell.
As shown in fig. 4, fig. 4 is a graph showing the phenomenon of inconsistent voltage saving of the fuel cell during the experimental test, and the voltage saving consistency is characterized by selecting the standard deviation and the range of the multiple cells, specifically,
standard deviation Std of fuel cell voltage cell Obtained by the following formula:
Figure BDA0003855367630000081
wherein n is the number of fuel cells in the fuel cell stack, V cell Acquiring the voltage saving of each fuel cell by polling the fuel cell;
fuel cell saving voltage pole difference R cell Obtained by the following formula:
R cell =Max(V cell )-Min(V Cell )
the method is used for analyzing the consistency of the fuel cell stack voltage saving through comprehensive analysis of the standard deviation and the range of the fuel cell voltage saving.
Therefore, Δ V for characterizing the steady-state characteristics of the fuel cell can be obtained by the above calculation model 1 Δ V for characterizing the dynamic behavior of the fuel cell 2 And a fuel cell performance prediction model for characterizing the standard deviation and the range of the fuel cell stack voltage saving consistency.
S2: inputting the set different fuel cell operation parameters into a fuel cell performance prediction model, finding out expected operation parameters meeting the fuel cell performance prediction model, and carrying out a fuel cell test experiment on the expected operation parameters to obtain standard output characteristic values meeting the performance requirements of the fuel cell at different working points;
wherein, S2 includes:
s2-1: setting operation parameters of a plurality of groups of fuel cells, and inputting the operation parameters of the fuel cells as boundary conditions into a fuel cell performance prediction model;
s2-2: according to the performance evaluation index of the fuel cell at different working points of the fuel cell and the consistency evaluation index of the fuel cell voltage saving in the fuel cell performance prediction model, obtaining the steady-state characteristic, the dynamic characteristic and the consistency of the node voltage under different working points of the fuel cell, and generating an output result;
s2-3: comparing the output result with a preset expected value, if the comparison result is within a preset expected value error threshold, executing S2-4, otherwise, repeatedly executing S2-1 to S2-3;
s2-4: and (3) carrying out a fuel cell test experiment on the fuel cell operation parameters meeting the expected value error threshold, judging whether the experiment result meets the performance requirement of the fuel cell, if not, repeating S2-1 to S2-3, and if so, outputting a standard output characteristic value meeting the performance requirement of the fuel cell.
In this embodiment, the specific implementation manner of S2 is to first select a set of fuel cell operating parameters, including the operating density of the fuel cell, the operating pressure of the fuel cell, the operating temperature of the fuel cell, the flow rate of the reaction gas of the fuel cell, and the like, input the operating parameters as boundary conditions into the fuel cell performance prediction model, and then obtain the output performance of the fuel cell under the current conditions according to the operating parameters, according to the output result of the model, in combination with the performance evaluation index, in this embodiment, the performance evaluation index is selected according to the experience of the experimenter, and then determine the output characteristic values under the operating parameters, that is, the steady-state characteristic, the dynamic characteristic, and the node pressure consistency, to compare with the expected value, if the error between the model output result and the expected value is within the preset expected value error threshold, which is ± 5% in this embodiment, it is considered that the output performance of the fuel cell corresponding to the current operating parameters is better, and it can be used in the fuel cell system, if the error between the model output result and the expected value exceeds 5%, it indicates that the output performance of the fuel cell cannot meet the requirements, and it needs to re-relate to the operating parameters to perform the test until the output performance of the fuel cell meets the conditions, and verify that the actual output parameters.
S3: taking expected operating parameters as input in the running process of the fuel cell engine system, taking the standard output characteristic value as a standard, and comparing the actual output characteristic values and the standard output characteristic values of different working points of the fuel cell engine system in real time according to a preset error threshold value to generate a comparison result;
wherein, S3 includes:
s3-1: obtaining a standard output characteristic value meeting the performance requirement of the fuel cell through a fuel cell performance prediction model and a fuel cell test experiment;
s3-2: applying the desired operating parameter to the fuel cell engine system;
s3-3: when the fuel cell engine system runs, comparing the real-time output characteristic value with the standard output characteristic value;
s3-4: and if the comparison error of the real-time output characteristic value and the standard output characteristic value exceeds a preset error threshold value, judging that the fuel cell engine system has a fault.
In the embodiment, during actual operation, various faults are inevitably encountered due to the complexity of working conditions, so how to quickly detect the faults has important significance on the reliability of the fuel cell engine system. Most of the traditional fault detection methods use the lowest node voltage as a fault detection standard, namely when the lowest node voltage is detected to reach a certain set value, the fault is considered to occur, the fault detection method is inherently useful, but the fault can not be judged in advance, even if the fault is judged to occur, the debugging can be carried out only by adopting a method of stopping a system, and the reliability of the system can not be improved.
Therefore, according to the fuel cell performance prediction model preset in S1, the standard output characteristic value of the fuel cell in the fuel cell engine system, that is, the steady-state characteristic, the dynamic characteristic, and the power saving voltage consistency, can be obtained, the standard output characteristic value is used as the fuel cell output performance standard of the fuel cell engine system, when the fuel cell engine system is in operation, the expected operation parameter is used as the input operation parameter of the fuel cell in the fuel cell engine system, the real-time output characteristic value and the standard output characteristic value are compared, if the comparison result exceeds the preset error threshold value, which is 10% in the embodiment, it is determined that the fuel cell has a fault, and then the maintenance and the overhaul are performed, so that the fault detection is performed in advance by inputting the expected operation parameter that can be used for fault diagnosis in advance, and the reliability of the system is improved by avoiding the shutdown phenomenon of the fuel cell engine due to the fault.
Example two:
as shown in fig. 6, the difference between the second embodiment and the first embodiment is that the second embodiment further determines a fault level according to the fault diagnosis result, and executes a corresponding solution according to the fault level, specifically:
s4: when fault diagnosis is carried out, fault grade judgment is carried out according to the comparison result of the real-time output characteristic value and the standard output characteristic value, and a fault solution is judged and executed according to the fault grade;
wherein, S4 includes:
s4-1: presetting a three-level fault error threshold, if the comparison result is within the preset three-level fault error threshold, improving the working pressure and the gas flow input in the operation parameters of the fuel cell, and simultaneously giving early warning to a fuel cell engine system;
specifically, in S4-1, a third-level fault error threshold is preset to be 10% to 15%, and if the error of the comparison result is between 10% and 15% and does not include 15%, a third-level fault is determined, and at this time, the input of the operating pressure and the gas flow rate in the operating parameters of the fuel cell is increased to 120% of the original value, so that the performance of the fuel cell can be improved by increasing the operating pressure and the flow rate, and the continuous performance deterioration can be prevented; and finally, giving an early warning to the fuel cell engine system.
S4-2: presetting a secondary fault error threshold, if the comparison result is within the preset secondary fault error threshold, forcibly executing load shedding operation, reducing the output power of the fuel cell, and simultaneously feeding back a fault state to a fuel cell engine system;
specifically, in this embodiment, the preset secondary fault error threshold is 15% to 20%, and if the error of the comparison result is 15% to 20%, it is determined that the secondary fault occurs in the fuel cell, and the output power of the fuel cell is reduced to half of the original output power by forcibly executing the load reduction operation, so that the performance can be prevented from continuously deteriorating; while feeding back fault conditions to the fuel cell engine system.
S4-3: and (4) presetting a primary fault error threshold, immediately finishing load shedding operation if the comparison result is within the preset primary fault error threshold, keeping the fuel cell open, locking a fuel cell engine system, and restarting after the troubleshooting is finished.
Specifically, in this embodiment, the preset primary fault error threshold is more than 20%, and if it is determined that the fuel cell belongs to the primary fault according to the comparison result, it indicates that there is a serious fault in the fuel cell, and therefore, it is necessary to immediately load down the fuel cell and perform fault troubleshooting, so as to avoid a sudden shutdown phenomenon occurring during operation of the early fuel cell engine system.
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several variations and modifications can be made, which should also be considered as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the utility of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (5)

1. A method of fuel cell consistency prediction and fault diagnosis, characterized by: the method comprises the following steps:
s1: presetting a fuel cell performance prediction model;
s2: inputting the set different fuel cell operation parameters into a fuel cell performance prediction model, finding out expected operation parameters meeting the fuel cell performance prediction model, and carrying out a fuel cell test experiment on the expected operation parameters to obtain standard output characteristic values meeting the performance requirements of the fuel cell at different working points;
s3: taking expected operation parameters as input in the running process of the fuel cell engine system, taking the standard output characteristic value as a standard, and comparing the actual output characteristic values and the standard output characteristic values of different working points of the fuel cell engine system in real time according to a preset error threshold value to generate a comparison result;
s4: and if the comparison result of the actual output of the fuel cell engine system and the node pressure characteristic value in the comparison result exceeds a preset error threshold value, performing fault diagnosis.
2. The method for fuel cell consistency prediction and fault diagnosis according to claim 1, wherein: the S1 comprises:
s1-1: acquiring the power-saving voltage dynamic characteristic and the steady-state characteristic of the output current of the fuel cell in step change, and establishing the performance evaluation index of the fuel cell;
s1-2: establishing a fuel cell voltage-saving consistency evaluation index according to the standard deviation and the range of the voltage-saving of a plurality of batteries in the fuel cell stack;
s1-3: and establishing a fuel cell performance prediction model according to the fuel cell battery-saving performance evaluation index and the fuel cell voltage-saving consistency evaluation index.
3. The method for fuel cell consistency prediction and fault diagnosis according to claim 2, wherein: the S2 comprises:
s2-1: setting operation parameters of a plurality of groups of fuel cells, and inputting the operation parameters of the fuel cells into a fuel cell performance prediction model by taking the operation parameters of the fuel cells as boundary conditions;
s2-2: according to the performance evaluation index of the fuel cell at different working points of the fuel cell and the consistency evaluation index of the fuel cell at the voltage saving of the fuel cell in the fuel cell performance prediction model, obtaining the steady-state characteristic, the dynamic characteristic and the consistency of the node voltage of the fuel cell at different working points, and generating an output result;
s2-3: comparing the output result with a preset expected value, if the comparison result is within a preset expected value error threshold value, executing S2-4, otherwise, repeatedly executing S2-1 to S2-3;
s2-4: and (3) performing a fuel cell test experiment on the fuel cell operation parameters meeting the expected value error threshold, judging whether the experiment result meets the performance requirement of the fuel cell, if not, repeating the steps from S2-1 to S2-3, and if so, outputting a standard output characteristic value meeting the performance requirement of the fuel cell.
4. The method of fuel cell consistency prediction and fault diagnosis according to claim 3, wherein: the fuel cell operating parameters include fuel cell operating density, fuel cell operating pressure, fuel cell operating temperature, and reactant gas flow rate.
5. The method for fuel cell consistency prediction and fault diagnosis according to claim 1, wherein: the S3 comprises the following steps:
s3-1: obtaining a standard output characteristic value meeting the performance requirement of the fuel cell through a fuel cell performance prediction model and a fuel cell test experiment;
s3-2: applying the desired operating parameter to the fuel cell engine system;
s3-3: when the fuel cell engine system runs, comparing the real-time output characteristic value with the standard output characteristic value;
s3-4: and if the comparison error of the real-time output characteristic value and the standard output characteristic value exceeds a preset error threshold value, judging that the fuel cell engine system has a fault.
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