CN112836331A - Pure electric vehicle battery performance reliability analysis method based on environmental effect - Google Patents
Pure electric vehicle battery performance reliability analysis method based on environmental effect Download PDFInfo
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Abstract
The invention discloses a pure electric vehicle battery performance reliability analysis method based on environmental action, which is used for analyzing the degree of harm of environmental stress action on the pure electric vehicle battery performance and comprises the following steps: determining the performance index and the environmental stress of the battery of the pure electric vehicle to be researched; building a reliable model for analyzing the degree of harm of environmental stress to the performance of the battery of the pure electric vehicle; obtaining element values in each matrix in the model by adopting a hazard degree analysis method and according to the national military standard; and calculating the degree of harm of each environmental stress to the battery performance of the pure electric vehicle by using the model. The method overcomes the defect that the influence of the correlation existing between the stresses on the system is not taken into consideration in the traditional reliability distribution method, so that the final analysis result of the hazard degree is more reasonable, the modeling is based on a matrix superposition form, and the subsequent analysis and calculation are all based on quantitative calculation and analysis, thereby increasing the precision of the analysis and calculation result.
Description
Technical Field
The invention relates to the field of new energy, in particular to a battery performance reliability analysis method of a pure electric vehicle based on an environmental effect.
Technical Field
For a pure electric vehicle battery, the pure electric vehicle battery is often in a complex environment stress, if a proper reliability analysis method can be adopted, the degree of damage of different environment stresses to the pure electric vehicle battery performance is obtained through analysis, and a pure electric vehicle battery weak performance link is found out. In the traditional FMECA reliability analysis method, when correlation exists among stress factors and stress linkage reaction is caused by combined action of multiple stress factors, the influence of the stress factors on the system reliability is difficult to predict by the analysis method.
Aiming at the defects of FMECA, related researchers respectively propose a priority cost FMECA synthesis method and a probability correction method of FMEA (failure mode and effects), but the methods obtained by improvement have the application premise that no correlation exists among stress factors and are independent, so that the problem of calculating the hazard degree under the condition that the correlation exists among the stress factors cannot be well solved.
Therefore, a reliability analysis method capable of considering the correlation among stress factors is needed, after the environment and the main performance of the battery of the pure electric vehicle to be researched are determined, the battery performance of the pure electric vehicle is analyzed by using the method, an analysis model between the environmental stress and the performance is established, the weak performance of the battery is found, and the analysis result can provide theoretical data support for further improving the performance reliability of the power battery of the pure electric vehicle.
Disclosure of Invention
The invention provides a pure electric vehicle battery performance reliability analysis method based on environmental effects, and a hazard degree analysis model of each performance parameter of a pure electric vehicle battery based on different environmental stresses is constructed based on the method, so that the method is used for researching and analyzing the hazard degree of the different environmental stress effects on each performance of the pure electric vehicle battery, and finding out the environmental stress which has larger or smaller influence on the performance of the pure electric vehicle battery.
To achieve the purpose of the invention, the method is realized by the following steps:
s1, constructing the main matrix composition elements in the battery performance reliability analysis model of the pure electric vehicle.
S11, stress factor autocorrelation matrix A: the element values mainly represent the degree of influence of a certain stress on another stress, and the larger the numerical value is, the stronger the correlation is, as ajk in fig. 1 represents the influence of the jth environmental stress on the kth environmental stress, the element values are obtained according to a hazard degree solving method. Meanwhile, the determination of the row and column positions of the element values in the stress factor autocorrelation matrix a in the matrix a can be obtained according to the following method: if the element value is the upper dividing line in each square in fig. 1, the row and column positions in matrix a, such as ajk, whose position in matrix a is the jth row and kth column, can be read with reference to the method of fig. 2; if the element value is below the partition line, it can be read as shown in FIG. 3, for example, akj, where the position in matrix A is the kth row and jth column.
S12, a stress factor and performance parameter index cross-correlation matrix M: the element values are obtained according to the regulations in the state military standard, and mainly reflect the influence of the element values on the battery performance parameters of the pure electric vehicle under the action of relevant environmental stress.
S13, weight matrix W: the method mainly reflects the importance degree of related performance parameter indexes in the whole performance, the weight element values are required to be normalized after being obtained according to the regulations in the national military standard, and finally the sum of all weights is 1.
S14, environmental stress probability matrix P: whether it is often under this kind of stress environment that it is mainly referred to pure electric vehicles battery, its value is big more, shows often to be under this environmental stress, and its element value adopts 1 ~ 10 grades of system of grading according to the state military standard.
S15, environmental stress test difficulty matrix N: the method mainly refers to the easy acquisition degree and the cost of test conditions such as equipment and fields required by the test, the larger the value is, the easier the acquisition is represented, the test cost is lower, and the element value is graded according to the national military standard by grade 1-10.
And S2, determining the hazard degree. On the basis of the step S1, a matrix required for solving the final environmental stress hazard degree is obtained by using a correlation solving formula, and the magnitude of each element value in a hazard degree matrix C of each environmental stress factor not considering the correlation among the environmental stresses in the most ideal state of the performance is obtained by using a Hadamard matrix product method. And meanwhile, the chain reaction generated between different environmental stresses of the battery of the pure electric vehicle in the actual working condition is further considered, and the corrected hazard degree is obtained.
S3, on the basis of the step S2, a battery performance reliability analysis model of the pure electric vehicle is constructed. Meanwhile, if the links with weak performance in the battery of the pure electric vehicle obtained through analysis are technically improved and strengthened, the implementation steps from S1 to S2 can be circulated, modeling analysis is carried out again, and the overall reliability of the battery of the pure electric vehicle is continuously improved through circulation analysis.
Compared with the prior art, the invention has the following advantages and effects:
1) when the method is used for analyzing the performance reliability of the battery of the pure electric vehicle, the correlation between the environmental stresses is considered by constructing the environmental stress autocorrelation matrix, namely, the chain reaction generated between different environmental stresses is considered, namely, a certain environmental stress plays a role in assisting and improving another environmental stress, and the established reliability distribution room overcomes the defect that the influence of the stress correlation on a system is not considered in the traditional reliability distribution method, so that the analysis result is more reasonable, and the weak performance index of the battery of the pure electric vehicle can be more accurately found out.
2) The model built by the method is essentially in a matrix superposition mode, all indexes can be quantitatively analyzed by adopting the model, and the composition values in each matrix can be updated in real time according to the difference of the selected environmental stress and performance indexes, so that the real-time property and the precision of the analysis and calculation result are improved.
3) When the battery reliability of the pure electric vehicle is analyzed, performance parameters which have small influence on the battery performance reliability of the pure electric vehicle are ignored, and then the establishment of a subsequent model is simplified. And the method can be used for modeling and analyzing again on the basis of the previous analysis continuously, and the method is repeated in a circulating way, so that the overall reliability of the battery performance of the pure electric vehicle is continuously improved.
Drawings
Fig. 1 is a model used for analyzing the performance reliability of the pure electric vehicle, that is, an analysis model for analyzing the performance reliability of the battery of the pure electric vehicle based on environmental stress factors.
FIG. 2 is a method for reading the element values of the stress factor autocorrelation matrix above the square cut lines according to the present invention.
FIG. 3 is a method for reading the element values of the stress factor autocorrelation matrix below the square cut lines according to the present invention.
FIG. 4 is a model for analyzing the damage degree to the battery performance of the pure electric vehicle under the action of environmental stress, which is constructed by applying the method of the present invention in the embodiment.
Detailed Description
The present invention will be described in detail with reference to fig. 1 to 4, and the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the method, the correlation between the environmental stresses is considered and the matrix is calculated quantitatively, so that the analysis result is more reasonable, and the weak performance index of the battery of the pure electric vehicle can be found out more accurately. The specific process is as follows:
step S1 is the determination of the study object required to construct the model.
Determining environmental stress factors according to the use working conditions of the battery of the pure electric vehicle to be researched, and determining key performance parameter indexes of the battery of the pure electric vehicle according to different battery performance emphasis points;
to simplify modeling, the determined environmental stresses studied in this example were 3: temperature, vibration, electromagnetic disturbance; the battery performance indexes of the pure electric vehicle to be analyzed are selected from 5 types: internal resistance, charge and discharge capacity, static and dynamic capacity, SOC and battery reset performance.
S2, constructing a reliability analysis model between the performance of the pure electric vehicle and environmental stress factors by adopting a modeling method of a reliability house; i.e. the determination of the values of the elements of the correlation matrix in the model of figure 1.
(step S21), the element values in the stress factor autocorrelation matrix a are determined.
In this embodiment, three environmental stress factors are mainly studied, and therefore the autocorrelation matrix a is a third-order matrix, and the values of the elements in the matrix are determined according to the specification of the method for solving the criticality. The element values determined in this embodiment are:
(step S22), the element values in the weight matrix W are determined.
The weight matrix mainly reflects the importance degree of the relevant performance parameters in the whole performance, and the sum of all weights is 1. In this embodiment, an equal division is adopted according to the national military standard, that is, the weight matrix W is:
(step S23), the element values in the matrix M are cross-correlated to stress factor and performance parameter index.
The element values in the cross-correlation matrix M are sequentially graded from strong to weak according to the influence degree in the standard regulation as follows: 9. 3, 1 and 0. The element composition in the cross-correlation matrix M of this embodiment is taken as:
(step S24), determining the values of the elements in the occurrence probability matrix P and the test difficulty matrix N.
And obtaining the values of the related elements according to the national military standard and the actual condition regulation. The selected results in this example are:
P＝[9 9 10]
N＝[9 8 4]
the model constructed in the step S2 is formed by superimposing a plurality of sets of matrices; obtaining element values in a stress factor autocorrelation matrix A, a stress factor and performance parameter index cross-correlation matrix M and a weight matrix W by using a hazard solving method, and obtaining the element values in the stress factor autocorrelation matrix A, the stress factor and performance parameter index cross-correlation matrix M and the weight matrix W by using S-WTM solves to obtain the element value in the environmental stress severity S, wherein WTIs the transpose of the weight matrix W. Step S3, based on step S2, determines the element values in the severity matrix S:
and solving by using C ═ S × P × N to obtain the degree of damage of each environmental stress to the performance of the battery of the electric automobile, wherein "×" is a Hadamard matrix product method, an environmental stress probability matrix P and an environmental stress test difficulty matrix N, and internal element values are determined according to the national military standard. The Hadamard matrix multiplication method is a matrix operation method for solving matrices with the same order, and the method specifies that when the matrices are multiplied, only corresponding elements are required to be multiplied, for example, when the matrix q is [ 123 ], the matrix t is [ 242 ], and the matrix q is [ 286 ]. Step S4, on the basis of steps S2 and S3,
step S5, determining element values in the harmfulness matrix C after the environmental stress chain reaction is considered to be enough corrected; using C1 ═ C + C [ A + (A)2+…+Af)*(I-E)]Solving to obtain the degree of harm of the environmental stress correlation to the battery performance of the electric automobile, wherein I is n multiplied by nA full 1 matrix; e is an n multiplied by n identity matrix and f is an environmental stress propagation order.
In this embodiment, the propagation order f is 1. The risk degree matrix C obtained in step S4 is modified to be:
considering that the maximum environmental stress element has a large influence on the battery performance of the pure electric vehicle is the temperature stress after the correlation influence among the mutual stress factors exists; secondly, electromagnetic disturbance stress; and finally the vibrational stress.
In step S5, the environmental stress propagation order f is the final degree of harm of one environmental stress to the battery performance of the pure electric vehicle, and includes the influence generated by indirect effect of other environmental stresses, such as the ith environmental stress directly influencing the jth environmental stress, and the jth environmental stress directly influencing the kth environmental stress, and the kth environmental stress includes the degree of harm generated by the jth environmental stress, as well as the degree of harm generated by the own environmental stress, which may be called first-order propagation degree directly caused by the jth environmental stress, and the degree of harm called second-order propagation degree indirectly caused by the ith environmental stress, where the environmental stress propagation order f is 2.
Step S6 and fig. 4 are finally constructed a reliability risk analysis model between the environmental stress and the battery performance of the pure electric vehicle through the analysis and the calculation of the related composition matrix. Through contrast analysis, the harmfulness matrix C without considering autocorrelation and the harmfulness matrix C1 obtained after consideration are more accurate than the calculated result of the harmfulness matrix C without considering autocorrelation, such as the harmfulness generated by electromagnetic disturbance, after consideration, the harmfulness value is greatly increased, which indicates that other environmental stresses have a boosting effect on the harmfulness matrix C.
And when the environmental stress and the related performance indexes of the pure electric vehicle are changed, repeating the steps from S1 to S5, and re-analyzing, calculating and establishing a new reliability model.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A pure electric vehicle battery performance reliability analysis method based on environmental effects is characterized by comprising the following steps:
s1: determining environmental stress factors according to the use working conditions of the battery of the pure electric vehicle to be researched, and determining key performance parameter indexes of the battery of the pure electric vehicle according to different battery performance emphasis points;
s2: a reliability analysis model between the performance of the pure electric vehicle and environmental stress factors is established by adopting a modeling method of a reliability house;
s3: obtaining element values in a stress factor autocorrelation matrix A, a stress factor and performance parameter index cross-correlation matrix M and a weight matrix W by using a hazard solving method, and obtaining the element values in the stress factor autocorrelation matrix A, the stress factor and performance parameter index cross-correlation matrix M and the weight matrix W by using S-WTM solves to obtain the element value in the environmental stress severity S, wherein WTA transposed matrix which is a weight matrix W;
s4: on the basis of S3, solving by using C ═ S × P × N to obtain the degree of damage of each environmental stress to the performance of the battery of the electric automobile, wherein × "is a Hadamard matrix product method, an environmental stress probability matrix P and an environmental stress test difficulty matrix N, and determining the internal element values of the environmental stress probability matrix P and the environmental stress test difficulty matrix N according to the national military standard;
s5: using C1 ═ C + C [ A + (A)2+…+Af)*(I－E)]Solving to obtain the degree of damage of the environmental stress correlation to the performance of the battery of the electric automobile, wherein I is an n multiplied by n full 1 matrix; e is an n multiplied by n unit matrix, and f is an environmental stress propagation order;
s6: and finally constructing a battery performance reliability analysis model of the pure electric vehicle based on the environmental effect after S1-S5 is completed.
2. The method for analyzing battery performance reliability of the blade electric vehicle based on the environmental effect is characterized in that in the step S5, when other environmental stresses indirectly affect the final harmfulness of the battery performance of the blade electric vehicle, the environmental stress propagation order is correspondingly modified.
3. The battery performance reliability analysis method for the pure electric vehicle based on the environmental effect is characterized in that when the environmental stress and the related performance indexes of the pure electric vehicle are changed, the steps from S1 to S5 are repeated, and a new reliability model is built through reanalysis and calculation.
4. The method for analyzing the battery performance reliability of the pure electric vehicle based on the environmental effect is characterized in that while a reliability analysis model between the performance of the pure electric vehicle and environmental stress factors is built in the step S2, after technical improvement and reinforcement are performed on links with weak performance in the pure electric vehicle battery obtained through analysis, the implementation steps of S1-S2 can be circulated, modeling analysis is performed again, and the overall reliability of the pure electric vehicle battery is continuously improved through the circulation analysis.
5. The battery performance reliability analysis method for the pure electric vehicle based on the environmental effect according to claim 1, wherein in step S1, the environmental stress factors are selected from 3 types: temperature, vibration, electromagnetic disturbance; the battery performance indexes of the pure electric vehicle are selected from 5 types: internal resistance, charge and discharge capacity, static and dynamic capacity, SOC and battery reset performance.
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