Battery performance reliability analysis method for pure electric vehicle based on environmental action

Abstract

The invention discloses a battery performance reliability analysis method for a pure electric vehicle based on environmental action, which is used for analyzing the criticality of environmental stress action on the battery performance of the pure electric vehicle and comprises the following steps: determining the performance index and environmental stress of the battery of the pure electric vehicle to be researched; building a reliable model for analyzing the criticality of the environmental stress to the battery performance of the pure electric vehicle; obtaining element values in each matrix in the model by adopting a criticality analysis method according to the national military standard; and calculating the criticality of each environmental stress on the battery performance of the pure electric vehicle by using the model. The method overcomes the defect that the traditional reliability distribution method does not consider the influence of correlation between stresses on the system, so that the analysis result of the final criticality is more reasonable, modeling is based on a matrix superposition form, subsequent analysis and calculation are all based on quantitative calculation and analysis, and the method has the advantages of high reliability and high reliability. Therefore, the precision of analysis and calculation results is improved.

Description

technical field [0001] The invention relates to the field of new energy, in particular to a method for analyzing the performance reliability of pure electric vehicle batteries based on environmental effects. [0002] technical background [0003] For pure electric vehicle batteries, they are often under complex environmental stress. If an appropriate reliability analysis method can be used to analyze the degree of harm of different environmental stresses to the performance of pure electric vehicle batteries, and find out the weak performance links of pure electric vehicle batteries , not only can provide data support for the enhanced design of relevant performance during the design and improvement process, thereby improving the quality of the product, but also can reduce the overall manufacturing and testing costs. However, the traditional FMECA reliability analysis method is difficult to predict the impact of stress factors on system reliability when there is correlation bet...

AI Technical Summary

Problems solved by technology

However, the traditional FMECA reliability analysis method is difficult to predict the impact of stress factors on system reliability when there is a correlation between stress factors and the joint action of multiple stress factors causes a stress chain reaction.

[0004] In view of the defects existing in FMECA, relevant researchers have respectively proposed the priority cost FMECA comprehensive method and the probability correction method of FMEA to overcome them. However, the application of these improved methods is based on the premise that there is no correlation between the stress factors and they are independent of each other. , so it is still unable to solve the problem of calculating the degree of hazard under the condition that there is correlation between the stress factors

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