Hybrid simulation method based lithium battery mechanical strength probability model

Abstract

The invention relates to a hybrid simulation method based lithium battery mechanical strength probability model. The model is established through the following steps: (1) a step of establishment of alithium battery mechanical strength boundary condition model, namely a step of determining boundary conditions of mechanical strength response based on materials of a lithium battery; (2) a step of establishment of a lithium battery finite element model, namely a step of establishing the lithium battery finite element model according to the mechanical strength boundary condition model and a displacement-mechanical strength relation curve; and (3) a step of establishment of a lithium battery mechanical strength estimation hybrid simulation model, namely a step of establishing the hybrid simulation model by introducing an artificial neural network (ANN) and an uncertainty estimation theory (MUET). the beneficial effects of the lithium battery mechanical strength probability model are as follows: the model combines the artificial neural network and the matrix based uncertainty estimation theory and evaluates the internal mechanical strength of the lithium battery by using the lithium battery finite element model, and the probability model and research results help lithium battery manufacturers to improve the application safety of electric vehicles and traffic road safety.

Description

technical field [0001] The invention relates to a probability model based on a simulation method, more specifically, it relates to a probability model for estimating the mechanical strength of a lithium battery cell based on an artificial neural network and uncertainty analysis. Background technique [0002] In the application process of lithium batteries, capacity and life are two major technical problems restricting its development. At present, most researches focus on the capacity and aging of lithium batteries, which involve many parameters of lithium batteries, such as temperature, depth of discharge, SEI film growth Wait. However, an important parameter-the internal mechanical strength of the lithium battery is ignored, which is an important indicator for evaluating the safety factor of the battery under the influence of factors such as external impact. At present, although there are a lot of research results on the internal heat generation and heat conduction of lith...

AI Technical Summary

Problems solved by technology

To sum up, the existing mechanical strength testing and estimation methods are still in the stage of physical and chemical experiments, with low calculation accuracy and large amount of data.

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