CN111798146A - Method for evaluating performance of fuel cell engine - Google Patents
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Abstract
The invention provides a method for evaluating the performance of a fuel cell engine, which adopts a fuzzy analytic hierarchy process to comprehensively evaluate each index of the performance of the fuel cell engine and divides the index into at least two levels to evaluate the performance of the engine, overcomes the defects that the conventional fuel cell engine system evaluates the one-sidedness and cannot be quantized, does not have the problem that the consistency check of an analytic hierarchy process judgment matrix is complicated, and quantifies and accurately and comprehensively evaluates the performance of the fuel cell engine.
Description
Technical Field
The invention relates to the technical field of fuel cell engines, in particular to a method for evaluating the performance of a fuel cell engine.
Background
The fuel cell electric automobile is considered as the final development direction of the new energy automobile due to the advantages of long driving range, convenient fuel filling, performance similar to that of the traditional automobile and the like. In recent years, the development of the field of vehicle fuel cells in China is rapid, and particularly, a great deal of practical experience is accumulated in the aspects of integration and application of fuel cell engines.
Among them, the fuel cell system for vehicles is the most critical component of a fuel cell vehicle, and its performance largely determines the performance of the fuel cell vehicle. The performance exhibited is very complex due to the complexity of the fuel cell system for a vehicle. In fact, the overall performance of the vehicle fuel cell system does not depend on one or two indexes of the system, but is represented by the performance indexes in the aspect of the system. The difficulty of the comprehensive evaluation lies in establishing a comprehensive and reasonable index system and scoring rules which can reflect the technical advancement of the system, and the evaluation method can have scientific evaluation scale for two or more different fuel cell systems, namely the advancement of the two or more vehicle fuel cell system technologies can be reflected through the comprehensive evaluation score.
CN102544551A discloses a method for evaluating the performance of the internal electrode of the system stack by using the impedance, which comprises obtaining the impedance of the fuel cell at a predetermined current value in the taffy region of the fuel cell by measuring the frequency change by using the frequency characteristic of the impedance, extracting the impedance for use, and further evaluating the performance of the electrode of the fuel cell; and the method of evaluating a fuel cell stack using the magnitude of the slope of a straight line with the logarithm of the current density as the abscissa and the unit cell voltage as the ordinate mentioned in the above patent; this patent recognizes the power generation state of the fuel cell and can use information on the normalized impedance as useful analysis data, but this method cannot evaluate the overall performance of the fuel cell system and has a disadvantage that the method is complicated.
CN103198206A discloses a fuel cell system performance evaluation method based on a comprehensive performance score model, which includes the following steps: firstly, establishing a comprehensive performance score model; secondly, placing one or more fuel cell systems to be evaluated on a fuel cell test platform and enabling the fuel cell systems to stably work; and step three, acquiring working state data and working environment data of the fuel cell system to be evaluated in real time, and inputting the test data into a comprehensive performance score model: fourthly, calculating the comprehensive performance score of the fuel cell system to be evaluated according to the test data by adopting a comprehensive performance score model; and fifthly, evaluating one or more fuel cell systems to be evaluated according to the comprehensive performance score. First, a method for defining the weight of each index is not specifically described in this patent, and a method for evaluating an index by artificial definition is not known.
Therefore, it is necessary to develop a method for evaluating the performance of a fuel cell engine in a comprehensive and quantitative manner, and to improve the comprehensiveness and comparability of the evaluation.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a method for evaluating the performance of a fuel cell engine, which comprehensively evaluates each index of the performance of the fuel cell engine by adopting a fuzzy analytic hierarchy process, overcomes the defects that the conventional fuel cell engine system is evaluated in one-sidedness and cannot be quantified, does not have the problem that the consistency check of an analytic hierarchy process judgment matrix is complicated, quantifies the performance of the fuel cell engine, and evaluates the performance accurately and comprehensively.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for evaluating the performance of a fuel cell engine, which comprises the following steps:
(1) determining factors in at least two-level evaluation indexes of the performance of the fuel cell engine;
(2) determining a comment set and a comment score matrix;
(3) and constructing a fuzzy comprehensive evaluation model of the fuel cell engine performance by using a fuzzy analytic hierarchy process, and calculating to obtain a fuzzy evaluation result.
The method for evaluating the performance of the fuel cell engine provided by the invention carries out comprehensive consideration evaluation aiming at factors in at least two-stage evaluation indexes, utilizes a fuzzy analytic hierarchy process to construct a fuzzy comprehensive evaluation model of the performance of the fuel cell engine, calculates to obtain a fuzzy evaluation result, does not need to consider the problem that the consistency check of a judgment matrix is complex and tedious, can quantitatively analyze the performance evaluation of the fuel cell engine, and can comprehensively consider all aspects influencing the performance of the engine, and the evaluation is accurate and comprehensive.
The method of the present invention comprises the following steps, which are only meant to include the above steps, and the order of the above steps is not limited, for example, step (2) may be performed before step (1), after step (1) or simultaneously with step (1); step (2) may also be performed during the operation of step (3), and this is not particularly limited as long as the method includes the above steps.
Preferably, the at least two levels of evaluation indexes in step (1) are two levels of indexes, namely a first level index and a second level index.
The invention selects two-stage indexes to evaluate the performance of the fuel cell engine, can evaluate a plurality of dimensions, and has better, comprehensive and accurate evaluation.
Preferably, the factors of the first level index include a combination of at least two of dynamics, economy, environmental compatibility, comfort, compactness, startability, or reliability, and preferably include a combination of seven of dynamics, economy, environmental compatibility, comfort, compactness, startability, and reliability.
The method preferably considers seven aspects of dynamic property, economy, environmental suitability, comfort, compactness, starting performance and reliability as factors in the first-level index, can widely include main assessment factors in the fuel cell engine, and enables the final evaluation result to be more accurate.
Preferably, the second level indicator of dynamic performance comprises a combination of at least two of rated power, peak power, 10% to 50% PE response, or 10% to 90% PE response, preferably four of rated power, peak power, 10% to 50% PE response, and 10% to 90% PE response.
The combination of the four indexes is preferably adopted in the second-level index of the dynamic property, so that the index of the dynamic property can be comprehensively evaluated, the evaluation time can be optimized and saved, and the efficiency is improved.
Preferably, the second level of economic indicator comprises a combination of at least two of idle point efficiency, maximum efficiency, rated point efficiency, or peak point efficiency, preferably a combination of idle point efficiency, maximum efficiency, rated point efficiency, and peak point efficiency.
The combination of the four indexes is preferably adopted in the second-level index of the economy, so that the index of the economy can be comprehensively evaluated, the evaluation time can be optimized and saved, and the efficiency is improved.
Preferably, the environmentally adaptive second level indicator comprises a combination of at least two of a maximum operating altitude, a maximum operating temperature, or a minimum start temperature, and preferably comprises a combination of a maximum operating altitude, a maximum operating temperature, and a minimum start temperature.
Preferably, the second level indicator of comfort comprises idle point 1m noise and rated point 1m noise.
Preferably, the second level indicators of compactness include volumetric specific power and mass specific power.
Preferably, the second level indicator of start performance comprises a combination of at least two of cold start time, hot start time, or-20 ℃ start time, and preferably comprises a combination of cold start time, hot start time, and-20 ℃ start time.
Preferably, the second-level indicator of reliability includes a combination of at least two of the intensified operating condition operating time, the mean time to failure, the ease of maintenance or the protection level, and preferably includes a combination of the intensified operating condition operating time, the mean time to failure, the ease of maintenance and the protection level.
The secondary indexes preferably comprise the combination, the evaluation is comprehensive, accurate and efficient, and the evaluation is an optimization factor selected from a plurality of factors influencing the performance of the fuel cell engine, so that the evaluation effect is better.
Preferably, the factors in the comment set V1 in step (2) include a combination of at least two of good, medium, poor or unacceptable, preferably a combination of five of good, medium, poor and unacceptable.
Preferably, the comment score matrix V ═ V corresponding to the comment set V11v2vj… vm]TWherein, in the step (A),j is a natural number which is more than or equal to 1 and less than or equal to m, and m is a natural number which is the same as the number of factors in the comment set V1.
Preferably, the set of comments V1 ═ { good, medium, poor, unacceptable }.
Preferably, the comment score matrix V ═ 10080604020 corresponding to the comment set V1 ═ { good, medium, poor, unacceptable }]T。
The evaluation method preferably adopts the comment set and the comment score matrix corresponding to the comment set, and the evaluation result obtained through final calculation is better.
Preferably, the step (3) of constructing the fuzzy comprehensive evaluation model of the fuel cell engine performance by using the fuzzy analytic hierarchy process comprises the following steps:
(31) evaluating the weight distribution corresponding to each factor, constructing a fuzzy matrix by using a fuzzy analytic hierarchy process, and calculating to obtain a factor weight matrix;
(32) evaluating the comment corresponding to each factor to obtain a comment weight matrix;
(33) performing fuzzy comprehensive evaluation according to the factor weight matrix and the comment weight matrix, and calculating to obtain a membership matrix;
(34) calculating to obtain a fuzzy evaluation result according to the membership matrix and the evaluation score matrix;
wherein, the step (31) and the step (32) have no sequence.
Preferably, the fuzzy matrix in step (31) is a fuzzy consistent matrix.
Preferably, the calculation function of the weight value is a linear function.
Preferably, said assessment in step (31) comprises an expert assessment.
Preferably, the number of experts is at least 5.
Preferably, said assessment of step (32) comprises an expert assessment.
Preferably, the number of experts is at least 5.
Preferably, according to the comment corresponding to each factor, normalization calculation is performed to obtain a comment weight matrix.
Preferably, the fuzzy comprehensive evaluation in step (33) includes calculating B ═ W · R, where B denotes a membership matrix, W denotes a factor weight matrix, and R denotes a comment weight matrix.
Preferably, the method for calculating the fuzzy evaluation result in the step (34) comprises the following steps: and V is B.V, wherein V represents the fuzzy evaluation result, B represents a membership matrix, and V represents a score matrix of the evaluation.
Preferably, the fuel cell in the fuel cell engine comprises an alkaline fuel cell, a phosphoric acid fuel cell, a molten carbonate fuel cell, a solid oxide fuel cell or a proton exchange membrane fuel cell.
As a preferred technical scheme of the invention, the method comprises the following steps:
(S1) determining factors in at least two levels of evaluation of fuel cell engine performance;
(S2) the expert evaluates the weight distribution corresponding to each factor, constructs a fuzzy matrix by using a fuzzy analytic hierarchy process, and calculates to obtain a factor weight matrix;
(S3) determining a comment set and a comment score matrix;
(S4) the expert evaluates the comment corresponding to each factor to obtain a comment weight matrix;
(S5) carrying out fuzzy comprehensive evaluation according to the factor weight matrix and the comment weight matrix, and calculating to obtain a membership matrix;
(S6) calculating to obtain a fuzzy evaluation result according to the membership degree matrix and the evaluation score matrix.
Wherein the step of (S3) may be performed before (S1), or between (S1) and (S2).
As a preferred technical scheme of the invention, the method comprises the following steps:
(S1) determining a factor in the two-stage evaluation index of the fuel cell engine performance;
(S2) the expert evaluates the weight distribution corresponding to each factor in two stages respectively, constructs a fuzzy consistent matrix, and calculates the peer weight value and the global weight value of each factor to obtain a factor weight matrix;
the fuzzy consistent matrix UB of the factor set U of the first-level index is shown as the following formula:
weighted value of each factor Uj in first-level index
Wherein i, j is 1,2,3 …, n; n is the number of factors in the first-stage index;
the weight matrix corresponding to the factor set U of the first-level index is as follows:
UW＝[uw1uw2uwi… uwn]；
the weight matrix corresponding to the factor set Uj of the second-level index is as follows:
UjW＝[ujw1ujw2ujwi… ujwn]
wherein u isjwiThe weight values of the same level are calculated in the same way as the weight values of all factors in the first-level index, and n is the number of factors in the factor set of the second-level index with the first-level index being Uj;
the formula for calculating the weight values of the same level and the factor weight matrix is as follows:
wherein k is the number of factors of all second-level indexes, i is more than or equal to 1 and less than or equal to k, and i is a natural number;
(S3) determining that the comment set V1 ═ { V1, …, vj, …, vm }, and giving the comment score matrix corresponding to the comment set V1:
V＝[v1v2vj… vm]T(ii) a Wherein j is more than or equal to 1 and less than or equal to m, j is a natural number, and m is the number of factors in the comment set;
(S4) the expert evaluates the comment corresponding to each factor, and after normalization, a comment weight matrix R is obtained as shown in the following formula;
wherein r isijA comment weight value representing the ith factor in the jth comment of the set of comments, wherein i is 1,2,3 …, k; j ═ 1,2,3, …, m;
(S5) according to the factor weight matrix and the comment weight matrix, carrying out fuzzy comprehensive judgment, and calculating to obtain a membership degree matrix B as shown in the following formula, wherein BjRepresenting the degree of membership of the jth comment;
B＝W·R＝[b1b2bj… bm]
(S6) calculating to obtain a fuzzy comprehensive judgment result according to the membership matrix; the calculation mode of the result of the fuzzy comprehensive evaluation is as follows: v is B.V.
In the invention, i and j represent the ith or jth factor in a matrix or set, the value ranges of the i and the j are different aiming at different matrices or different sets, and the i and the j belong to the general expression mode in the field and are not described again.
Compared with the prior art, the invention has at least the following beneficial effects:
(1) the method for evaluating the performance of the fuel cell engine selects at least two levels of indexes as assessment factors, so that the evaluation is more comprehensive;
(2) the method for evaluating the performance of the fuel cell engine provided by the invention quantifies the performance evaluation result by adopting a fuzzy comprehensive evaluation method, so that the evaluation result has comparability;
(3) the method for evaluating the performance of the fuel cell engine optimizes specific index factors and limits the comment sets and the comment matrixes thereof, thereby optimizing the evaluation effect and improving the evaluation accuracy.
Drawings
FIG. 1 is a schematic flow chart of a method for evaluating fuel cell engine performance provided by the present invention.
Fig. 2 is a schematic diagram showing factors in two-stage evaluation indexes in the method for evaluating the performance of a fuel cell engine according to embodiment 1 of the present invention.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The present invention is described in further detail below. The following examples are merely illustrative of the present invention and do not represent or limit the scope of the claims, which are defined by the claims.
The invention provides a method for evaluating the performance of a fuel cell engine, which is shown in a flow diagram in figure 1:
(S1) determining factors in at least two levels of evaluation of fuel cell engine performance;
(S2) the expert evaluates the weight distribution corresponding to each factor, constructs a fuzzy matrix by using a fuzzy analytic hierarchy process, and calculates to obtain a factor weight matrix;
(S3) determining a comment set and a comment score matrix;
(S4) the expert evaluates the comment corresponding to each factor to obtain a comment weight matrix;
(S5) carrying out fuzzy comprehensive judgment and calculating to obtain a membership matrix;
(S6) calculating to obtain a fuzzy evaluation result according to the membership degree matrix and the evaluation score matrix.
Wherein the step of (S3) may be performed before (S1), or between (S1) and (S2).
First, an embodiment
Example 1
The present embodiment provides a method for evaluating the performance of a fuel cell engine, the method comprising the steps of:
(S1) determining factors in two-stage evaluation indexes of the fuel cell engine performance, as shown in fig. 2, wherein the first-stage index has a set of factors U ═ U1, U2, U3, U4, U5, U6, U7 ═ dynamic, economical, environmental suitability, comfort, compactness, startability, reliability };
the factor set of the second-level indicator of the dynamic property is U1 ═ U11, U12, U13 and U14 ═ rated power, peak power, 10% -50% PE response and 10% -90% PE response };
the factor set of the second-level indicator of the economy is U2 ═ U21, U22, U23, U24 ═ idle point efficiency, maximum efficiency, rated point efficiency, peak point efficiency };
the factor set of the environmental suitability second-level index is U3 ═ U31, U32 and U33 ═ highest operating altitude, highest operating temperature and lowest starting temperature };
the second-level comfort indicator has a set of factors U4 ═ U41, U42 ═ idle point 1m noise, rated point 1m noise };
the factor set of the second-level compact indicator is U5 ═ { U51, U52} ═ volume-to-power, mass-to-power };
the factor set of the second-level index of the starting performance is U6 ═ U61, U62, U63 ═ cold start time, heat engine start time, -20 ℃ start time };
the factor set of the second-level index of reliability is U7 ═ U71, U72, U73 and U74 ═ operating time under strengthened working conditions, average time without failure, easy maintenance degree and protection level };
(S2)5 experts evaluate the weight score corresponding to each factor in two stages respectively, a fuzzy matrix is constructed by using a fuzzy analytic hierarchy process, and the global weight value and the same-level weight value of each factor are calculated;
taking the fuzzy consistent matrix UB of the factor set U of the first-level index and the calculation method thereof as examples, wherein the fuzzy consistent matrix UB is as follows:
summing the matrix UB by rows, i.e.
Weight value of each factor Uj
The weight matrix corresponding to the factor set U of the first-level index is as follows:
UW＝[uw1uw2uwi… uwn](ii) a n is 7, i is more than or equal to 1 and less than or equal to n, and i is a natural number;
fuzzy consistent matrix UB of factor set U of first-level index and weight value uw of Uj obtained through calculationiAs shown in table 1:
TABLE 1
The fuzzy consistent matrix of the factor set U1 of the second-level indicator of dynamics and the calculated weight value of U1i are shown in table 2, that is, the weight matrix U1W corresponding to the factor set U1 is:
U1W＝[0.2511 0.2499 0.2499 0.2492]
TABLE 2
The fuzzy consistent matrix of the factor set U2 and the calculated weight value of U2i of the second-level indicator of economic efficiency are shown in table 3, that is, the weight matrix U2W corresponding to the factor set U2 is:
U2W＝[0.2506 0.2525 0.2504 0.2465]
TABLE 3
The fuzzy consistent matrix of the factor set U3 of the second-level index of environmental suitability and the calculated weight value of U3i are shown in table 4, that is, the weight matrix U3W corresponding to the factor set U3 is:
U3W＝[0.3292 0.3345 0.3363]
TABLE 4
The fuzzy consistent matrix of the factor set U4 of the second-level comfort index and the calculated weight value of U4i are shown in table 5, that is, the weight matrix corresponding to the factor set U4 is: U4W ═ 0.50770.4923;
TABLE 5
The fuzzy consistent matrix of the factor set U5 of the second-level compact indicator and the calculated weight value of U5i are shown in table 6, that is, the weight matrix corresponding to the factor set U5 is: U5W ═ 0.5050.495;
TABLE 6
The fuzzy consistent matrix of the factor set U6 and the calculated weight value of U6i for the second-level indicator of starting performance are shown in table 7, i.e., the weight matrix corresponding to the factor set U6 is: U6W ═ 0.3330.3310.336;
TABLE 7
The fuzzy consistent matrix of the factor set U7 of the second-level indicator of reliability and the calculated weight value of U7i are shown in table 8, that is, the weight matrix corresponding to the factor set U7 is:
U7W＝[0.2474 0.2533 0.2486 0.2507]
TABLE 8
Calculating a global weight value of each factor Uji according to the weight UW of the first-level index in table 1 and the weight UjW of the second-level index in tables 2-8, wherein the calculation formula is as follows, w isiThe global weight values representing the ith factor in all the second-level indicators are shown in table 9.
(S3) determining that the comment set V1 ═ { V1, …, vj, …, V5} { good, medium, poor, unacceptable }, and giving the comment score matrix corresponding to the comment set V1 as:
V＝[v1v2vj… v5]T＝[100 80 60 40 20]T(ii) a J is more than or equal to 1 and less than or equal to 5, and j is a natural number;
(S4)5 experts evaluate the comment corresponding to each factor, and after normalization, a comment weight matrix R is obtained, wherein the weight matrix value is shown in a table 10;
wherein r isijA comment weight value representing the ith factor in the jth comment of the set of comments, wherein i is 1,2,3 …, k; j ═ 1,2,3, …, m; k is 22 and m is 5.
(S5) according to the factor weight matrix and the comment weight matrix, carrying out fuzzy comprehensive judgment, and calculating to obtain a membership degree matrix B as shown in the following formula, wherein BjThe membership degree of the j-th comment is shown, and the result is shown in Table 11;
B＝W·R＝[b1b2bj… bm]＝[0.2272 0.1646 0.2975 0.2689 0.0419]
TABLE 11
| Conclusion | Degree of membership |
| Superior food | 0.2272 |
| Good wine | 0.1646 |
| In | 0.2975 |
| Difference (D) | 0.2689 |
| Is not acceptable | 0.0419 |
(S6) calculating to obtain a fuzzy comprehensive judgment result according to the membership matrix; the result V of the fuzzy comprehensive evaluation is B · V65.3273.
Therefore, the fuzzy comprehensive evaluation result of the fuel cell engine is calculated to be "middle", and the score is 65.3273.
In this embodiment, i and j represent the ith or jth factor in a matrix or set, and the value ranges thereof are different for different matrices or different sets, which belongs to a general expression in the art and is not described herein again.
In conclusion, the fuel cell engine performance evaluation method provided by the invention selects at least two levels of indexes as evaluation factors, the evaluation is more comprehensive, the performance evaluation result is quantized by adopting a fuzzy comprehensive evaluation method, the evaluation result is more contrastable, and the specific index factors are optimized, the evaluation set and the evaluation matrix thereof are limited, the evaluation effect is more optimized, and the evaluation accuracy is improved.
The applicant declares that the present invention illustrates the detailed structural features of the present invention through the above embodiments, but the present invention is not limited to the above detailed structural features, that is, it does not mean that the present invention must be implemented depending on the above detailed structural features. It should be understood by those skilled in the art that any modifications of the present invention, equivalent substitutions of selected components of the present invention, additions of auxiliary components, selection of specific modes, etc., are within the scope and disclosure of the present invention.
Claims (10)
1. A method of evaluating the performance of a fuel cell engine, the method comprising the steps of:
(1) determining factors in at least two-level evaluation indexes of the performance of the fuel cell engine;
(2) determining a comment set and a comment score matrix;
(3) and constructing a fuzzy comprehensive evaluation model of the fuel cell engine performance by using a fuzzy analytic hierarchy process, and calculating to obtain a fuzzy evaluation result.
2. The method according to claim 1, wherein the at least two levels of evaluation indexes in step (1) are two levels of indexes, namely a first level index and a second level index;
preferably, the factors of the first level index include a combination of at least two of dynamics, economy, environmental compatibility, comfort, compactness, startability, or reliability, and preferably include a combination of seven of dynamics, economy, environmental compatibility, comfort, compactness, startability, and reliability.
3. The method of claim 2, wherein the second level indicator of dynamics comprises a combination of at least two of rated power, peak power, 10% to 50% PE response, or 10% to 90% PE response, preferably a combination of four of rated power, peak power, 10% to 50% PE response, and 10% to 90% PE response;
preferably, the second level of economic indicator comprises a combination of at least two of idle point efficiency, maximum efficiency, rated point efficiency, or peak point efficiency, preferably a combination of idle point efficiency, maximum efficiency, rated point efficiency, and peak point efficiency;
preferably, the second level indicator of environmental suitability comprises a combination of at least two of a highest operating altitude, a highest operating temperature, or a lowest start temperature, preferably a combination of the highest operating altitude, the highest operating temperature, and the lowest start temperature;
preferably, the second level indicator of comfort comprises idle point 1m noise and rated point 1m noise;
preferably, the second level of compactness indicator comprises volumetric specific power and mass specific power;
preferably, the second-level index of the starting performance comprises a combination of at least two of cold starting time, heat starting time or-20 ℃ starting time, and preferably comprises a combination of the cold starting time, the heat starting time and the-20 ℃ starting time;
preferably, the second-level indicator of reliability includes a combination of at least two of the intensified operating condition operating time, the mean time to failure, the ease of maintenance or the protection level, and preferably includes a combination of the intensified operating condition operating time, the mean time to failure, the ease of maintenance and the protection level.
4. The method according to any one of claims 1 to 3, wherein the factors in the panel of comments V1 in step (2) comprise a combination of at least two of good, medium, poor or unacceptable, preferably a combination of five of good, medium, poor and unacceptable;
preferably, the comment score matrix V ═ V corresponding to the comment set V11v2vj…vm]TWherein j is a natural number not less than 1 and not more than m, m is a natural number, and a commentThe number of factors in the set V1 is the same;
preferably, the set of comments V1 ═ { good, medium, poor, unacceptable };
preferably, the comment score matrix V ═ 10080604020 corresponding to the comment set V1 ═ { good, medium, poor, unacceptable }]T。
5. The method according to any one of claims 1 to 4, wherein the step (3) of constructing the fuzzy comprehensive evaluation model of the fuel cell engine performance by using the fuzzy analytic hierarchy process comprises the following steps:
(31) evaluating the weight distribution corresponding to each factor, constructing a fuzzy matrix by using a fuzzy analytic hierarchy process, and calculating to obtain a factor weight matrix;
(32) evaluating the comment corresponding to each factor to obtain a comment weight matrix;
(33) performing fuzzy comprehensive evaluation according to the factor weight matrix and the comment weight matrix, and calculating to obtain a membership matrix;
(34) calculating to obtain a fuzzy evaluation result according to the membership matrix and the evaluation score matrix;
wherein, the step (31) and the step (32) have no sequence.
6. The method of claim 5, wherein the fuzzy matrix in step (31) is a fuzzy consensus matrix;
preferably, the calculation function of the weight value is a linear function;
preferably, said assessment in step (31) comprises an expert assessment;
preferably, the number of experts is at least 5.
7. The method according to claim 5 or 6, wherein said assessment of step (32) comprises an expert assessment;
preferably, the number of experts is at least 5;
preferably, according to the comment corresponding to each factor, normalization calculation is performed to obtain a comment weight matrix.
8. The method according to any one of claims 5 to 7, wherein the fuzzy comprehensive evaluation in step (33) comprises calculating B-W-R, wherein B represents a membership matrix, W represents a factor weight matrix, and R represents a comment weight matrix.
9. The method of claim 8, wherein the step (34) of calculating the fuzzy evaluation result comprises: and V is B.V, wherein V represents the fuzzy evaluation result, B represents a membership matrix, and V represents a score matrix of the evaluation.
10. The method of any one of claims 1 to 9, wherein the fuel cell in the fuel cell engine comprises an alkaline fuel cell, a phosphoric acid fuel cell, a molten carbonate fuel cell, a solid oxide fuel cell, or a proton exchange membrane fuel cell.
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