CN107632265A - A kind of method for counting bearing power variation prediction fuel cell residual life - Google Patents
A kind of method for counting bearing power variation prediction fuel cell residual life Download PDFInfo
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Abstract
The invention discloses a kind of method for counting bearing power variation prediction fuel cell residual life.This method is using the influence of bearing power amplitude of fluctuation and change frequency to fuel cell as point of penetration, experiment test first is carried out to the influence of bearing power amplitude of fluctuation and number to fuel battery service life, finds out relation of the influence factor to fuel battery service life on the basis of tests.Then real-time rain-flow counting method is utilized, during fuel cell operation, constantly fuel battery power amplitude of variation and number are counted using sensor, the data of real-time analytic statistics, with reference to experimental results before, so as to realize that the residual life of fuel cell is predicted.This method method of testing is simple, can be conveniently used for the prediction of fuel cell residual life.
Description
Technical field
The present invention relates to a kind of method for predicting fuel cell residual life, more particularly to a kind of statistics bearing power change
The method for predicting fuel cell residual life, belongs to field of fuel cell technology.
Background technology
With environmental pollution and the aggravation of energy crisis, traditional combustion engine automobile exposes the drawbacks of more and more.New energy
Source automobile, such as pure electric automobile, hydrogen fuel cell electric vehicle turn into the study hotspot of current each power.Wherein, hydrogen fuel
Cell electric vehicle compares pure electric automobile, has the advantages that high energy conversion efficiency, complete zero-emission, overload capacity are strong, therefore
It turns into the another popular selection of the automotive field after pure electric automobile.
Hydrogen fuel cell is a kind of energy dress that chemical energy can be converted into electric energy as a kind of new energy resource system
Put, there is simple in construction, the advantages such as noise is low, but cost of manufacture and use cost it is higher be the big shortcoming of one, therefore, the life-span grinds
Study carefully a core topic as fuel cell studies, the length of fuel cell service life is directly connected to its commercialized hair
Exhibition.An importance to fuel battery service life research is exactly that fuel cell residual life is predicted, so as to analyze combustion
Expect that battery life by the influence degree of actual condition, so as to obtain the predicted value of fuel cell residual life, and can be realized
The optimization used fuel cell, the manufacture of fuel cell also have great importance.
Fuel cell is as an energy source, and compared to battery, super capacitor, its changed power characteristic is weaker, does not have
Method tackles larger power variation well in a short period of time, i.e. fuel cell can not be carried out larger in a short time
The change of electric current, and its heart as electric car, because electric car driving cycle is complicated, frequently start and stop, ceaselessly accelerate
Slow down, the frequently variation of power output will certainly influence the life-span of fuel cell.
Compared to lithium battery cycle life research, fuel cell need consider bearing power change, discharge-rate, temperature with
And the influence of humidity, think herein, fuel cell under normal operating mode temperature, humidity and discharge-rate all in suitable
Value, therefore, bearing power change turn into the principal element for influenceing fuel battery service life.
Currently predict fuel battery service life the methods for relying on laboratory test more, i.e., carry out operating mode in laboratory conditions
The method of simulation or accelerated test to carry out life prediction to fuel cell.But these methods, on the one hand introduce laboratory
This complex flow is tested, another aspect is also difficult to the actual condition in accurate simulation fuel cell use, generally only
Linear fit can be carried out, is had difficulties in the accuracy predicted fuel battery service life.Therefore, invention one kind can be applied to reality
Border fuel cell system and can be most important in the method for real-time estimate fuel cell residual life.
China Patent Publication No. is CN104865061A, it is proposed that a kind of real-time rain-flow counting method, the method overcome biography
The shortcomings that system rain flow method can only count to off-line data, applied widely, accuracy is high.For in this research to combustion
Expect that the research of battery life is significant.
The content of the invention
The invention aims to overcome current fuel cell to be had no idea well in real time to fuel cell in studying
The problem that residual life is predicted, statistics and analysis is carried out to the discharge current amplitude of fuel cell in real time, utilizes the party
Method can be with the residual life of real-time estimate fuel cell.
In order to achieve the above object, the technical solution adopted by the present invention is a kind of statistics bearing power variation prediction fuel electricity
The method of pond residual life, this method are to be combined real-time rain-flow counting method with fuel battery service life prediction, and this method is based on
Fatigue life predicting system realizes that the sensor assembly of the system, signal acquiring system, filtration module and signal acquiring system are suitable
Secondary connection, effectively to be filtered to the supurious wave in collection signal；Rain-flow counting module is connected with filtration module, to right
The useful signal of collection carries out circulation extraction and counted, and exports current statistic number, and calculates current age loss.
At present, the index that can the most directly reflect fuel cell performance decay is the open-circuit voltage of fuel cell, together
Sample is using the open-circuit voltage of fuel cell as evaluation index.
This method comprises the following steps：
First, the open-circuit voltage of intact fuel cell is U0, the voltage of fuel cell is when fuel battery service life terminates
U1, when fuel cell is by open-circuit voltage U0It is U to start working to open-circuit voltage1When, it is determined that fuel battery service life terminates.It is based on
The process that fuel battery service life terminates, determine the changed power P of fuel celliWith service life NiRelation curve, PiFor fuel
Cell output changes；The rated value of the output current of fuel cell is 1kW, then now needs the work(of fuel cell tested
Rate changes PiFor 0W, 200W, 400W, 600W, 800W and 1kW, NiMaximum use under discharge power amplitude change corresponding to expression
Number, N is obtained according to the curve map of draftingiWith PiBetween functional relation；I represents the number of power variation event.
Then, for selected fuel cell, the fuel cell in actual motion is changed using real-time rain-flow counting method
Frequency n and changed power amplitude PiOrder statistics are carried out, obtain fuel cell real change frequency n under different capacity change
(Pi)；
Finally, amplitude P is changed according to different discharge currentsiWith service life NiRelation curve, and with real-time rain flowmeter
The data that number method obtains first obtain the life consumption under different capacity changes, and the residue of fuel cell is obtained according to the data obtained to be made
Use the life-span.
Compared with prior art, the present invention has following advantage：
From the principal element for influenceing fuel battery power change, influence factor is quantified by related data.
Then statistical analysis is carried out to the changed power data of fuel cell in practice using the rain flow algorithm after improving, it is final to realize in fact
When the residual life of fuel cell is predicted and constantly updated, the invention intention is novel, and all fuel cells are all suitable for.
Brief description of the drawings
Fig. 1 is the implementing procedure figure of this method.
Embodiment
First, different discharge current change amplitude P are drawn outiWith service life NiRelation curve, obtain therebetween
Functional relation：
Ni=N (Pi)
Here, define P in i-th of power variation eventiUnder the influence of the life consumption of fuel cell be LoLi, in PiShadow
Under sound, n (Pi) represent the actual service life of the fuel cell of rain flow method statistics, N (Pi) represent fuel cells fail when pair
The maximum discharge time answered.Calculation formula is as follows：
Then, for selected fuel cell, during fuel cell operation, passed by voltage sensor and electric current
Sensor is acquired to the output voltage and output current of fuel cell, obtains the power output of current fuel cell, then right
The power data of collection is filtered, and filtered data is read in real-time rain-flow counting system, using real-time rain-flow counting
Method is to the fuel cell change frequency n in actual motioniWith changed power amplitude PiOrder statistics are carried out, fuel cell is obtained and exists
Real change frequency n (P under different capacity changei)；
The total losses LoL of fuel battery service life, is defined as follows：
In different PiUnder level, the standard that fuel battery service life terminates is as follows：
That is, when LoL is equal to 1, fuel battery service life is terminated, it is necessary to refuelling battery.
Finally, in a series of specific PiUnder, if the time used in fuel cell test is NdHour, then in fuel cell
Before end-of-life, it is contemplated that most long use when it is a length of：
Claims (2)
1. a kind of method for counting bearing power variation prediction fuel cell residual life, this method is by real-time rain-flow counting method
It is combined with fuel battery service life prediction, this method is realized based on fatigue life predicting system, sensor assembly, the letter of the system
Number acquisition system, filtration module and signal acquiring system are sequentially connected with, effectively to be filtered to the supurious wave in collection signal
Ripple；Rain-flow counting module is connected with filtration module, and to carry out circulation extraction to the useful signal of collection and count, output is current
Statistics number, and calculate current age loss；
Using the open-circuit voltage of fuel cell as evaluation index；
It is characterized in that：This method comprises the following steps：
First, the open-circuit voltage of intact fuel cell is U0, the voltage of fuel cell is U when fuel battery service life terminates1, when
Fuel cell is by open-circuit voltage U0It is U to start working to open-circuit voltage1When, it is determined that fuel battery service life terminates；Based on fuel electricity
The process of pond end-of-life, determine the changed power P of fuel celliWith service life NiRelation curve, PiIt is defeated for fuel cell
Go out changed power；The rated value of the output current of fuel cell is 1kW, then now needs the changed power of fuel cell tested
PiFor 0W, 200W, 400W, 600W, 800W and 1kW, NiMaximum access times under discharge power amplitude change corresponding to expression,
N is obtained according to the curve map of draftingiWith PiBetween functional relation；I represents the number of power variation event；
Then, for selected fuel cell, using real-time rain-flow counting method to the fuel cell change frequency n in actual motion
With changed power amplitude PiOrder statistics are carried out, obtain fuel cell real change frequency n (P under different capacity changei)；
Finally, amplitude P is changed according to different discharge currentsiWith service life NiRelation curve, and use real-time rain-flow counting method
Obtained data first obtain the life consumption under different capacity changes, and the residue that fuel cell is obtained according to the data obtained uses the longevity
Life.
2. a kind of method for counting bearing power variation prediction fuel cell residual life according to claim 1, first,
Draw out different discharge current change amplitude PiWith service life NiRelation curve, obtain functional relation therebetween：
Ni=N (Pi)
Here, define P in i-th of power variation eventiUnder the influence of the life consumption of fuel cell be LoLi, in PiUnder the influence of,
n(Pi) represent the actual service life of the fuel cell of rain flow method statistics, N (Pi) represent corresponding during fuel cells fail
Maximum discharge time；Calculation formula is as follows：
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Then, for selected fuel cell, during fuel cell operation, voltage sensor and current sensor are passed through
The output voltage and output current of fuel cell are acquired, obtain the power output of current fuel cell, then to collection
Power data be filtered, filtered data are read in real-time rain-flow counting system, using real-time rain-flow counting method pair
Fuel cell change frequency n in actual motioniWith changed power amplitude PiOrder statistics are carried out, obtain fuel cell in difference
Real change frequency n (P under changed poweri)；
The total losses LoL of fuel battery service life, is defined as follows：
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In different PiUnder level, the standard that fuel battery service life terminates is as follows：
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That is, when LoL is equal to 1, fuel battery service life is terminated, it is necessary to refuelling battery；
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Finally, in a series of specific PiUnder, if the time used in fuel cell test is NdHour, then in fuel battery service life
Before termination, it is contemplated that most long use when it is a length of：
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Cited By (8)
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| CN109444762A (en) * | 2018-10-28 | 2019-03-08 | 北京工业大学 | A kind of health state of lithium ion battery estimation method based on data fusion |
| CN109696638A (en) * | 2018-12-18 | 2019-04-30 | 中国华能集团清洁能源技术研究院有限公司 | A kind of molten carbonate fuel cell life-span prediction method |
| CN113442795A (en) * | 2021-08-18 | 2021-09-28 | 重庆交通职业学院 | Control method of fuel cell hybrid power system based on layered MPC |
| WO2022036830A1 (en) * | 2020-08-18 | 2022-02-24 | 金龙联合汽车工业（苏州）有限公司 | Method and system for real-time monitoring and early warning of power attenuation of fuel cell |
| CN115230476A (en) * | 2022-08-05 | 2022-10-25 | 兰州现代职业学院 | Fuel cell automobile detection circuit and method |
| FR3131386A1 (en) * | 2021-12-28 | 2023-06-30 | Commissariat à l'Energie Atomique et aux Energies Alternatives | DETERMINATION OF THE HEALTH STATE OF AN ELECTRIC ACCUMULATOR BY CONVERSION |
| CN117420471A (en) * | 2023-12-18 | 2024-01-19 | 深圳鑫资物联科技有限公司 | Performance test method, system and equipment of mobile power supply and storage medium thereof |
| CN118671610A (en) * | 2024-08-22 | 2024-09-20 | 武汉海亿新能源科技有限公司 | Hydrogen fuel cell test energy management system and control method thereof |
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| CN109444762A (en) * | 2018-10-28 | 2019-03-08 | 北京工业大学 | A kind of health state of lithium ion battery estimation method based on data fusion |
| CN109444762B (en) * | 2018-10-28 | 2021-01-08 | 北京工业大学 | Lithium ion battery health state estimation method based on data fusion |
| CN109696638A (en) * | 2018-12-18 | 2019-04-30 | 中国华能集团清洁能源技术研究院有限公司 | A kind of molten carbonate fuel cell life-span prediction method |
| WO2022036830A1 (en) * | 2020-08-18 | 2022-02-24 | 金龙联合汽车工业（苏州）有限公司 | Method and system for real-time monitoring and early warning of power attenuation of fuel cell |
| CN113442795A (en) * | 2021-08-18 | 2021-09-28 | 重庆交通职业学院 | Control method of fuel cell hybrid power system based on layered MPC |
| CN113442795B (en) * | 2021-08-18 | 2022-06-17 | 重庆交通职业学院 | Control method of fuel cell hybrid power system based on layered MPC |
| FR3131386A1 (en) * | 2021-12-28 | 2023-06-30 | Commissariat à l'Energie Atomique et aux Energies Alternatives | DETERMINATION OF THE HEALTH STATE OF AN ELECTRIC ACCUMULATOR BY CONVERSION |
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| CN115230476A (en) * | 2022-08-05 | 2022-10-25 | 兰州现代职业学院 | Fuel cell automobile detection circuit and method |
| CN117420471A (en) * | 2023-12-18 | 2024-01-19 | 深圳鑫资物联科技有限公司 | Performance test method, system and equipment of mobile power supply and storage medium thereof |
| CN117420471B (en) * | 2023-12-18 | 2024-04-02 | 深圳鑫资物联科技有限公司 | Performance test method, system and equipment of mobile power supply and storage medium thereof |
| CN118671610A (en) * | 2024-08-22 | 2024-09-20 | 武汉海亿新能源科技有限公司 | Hydrogen fuel cell test energy management system and control method thereof |
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Application publication date: 20180126 |
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