Electric vehicle lithium ion battery lithium precipitation diagnostic method with data drive

Abstract

The present invention relates to an electric vehicle lithium ion battery lithium precipitation diagnostic method with data drive, belonging to the technical field of battery management. The method comprises the steps of: S1: establishing an electrochemical model of a lithium ion battery; S2: in an offline phase, constructing ANN to simulate a response relation of input and output of the lithium ion battery in different conditions, and employing a Kriging model to establish a mapping relation between the ANN weight and a solid phase diffusion coefficient; S3: in an online phase, measuring datain the battery charging process through an experiment, and predicting the actual solid phase diffusion coefficients of positive and negative poles of the battery; and S4: substituting the solid phasediffusion coefficients into a solid phase diffusion equation to calculate and obtain the solid phase lithium ion concentrations of the positive and negative poles in the charging process, establish the criterion of the lithium precipitation based on the concentrations and determine whether a lithium precipitation phenomenon is generated or not in the charging process through adoption of the calculated and obtained concentrations of the positive and negative poles. In a condition of ensuring the integration of the lithium ion battery, the dependence degree of the lithium precipitation phenomenon detection process on the mechanism model is reduced.

Description

technical field [0001] The invention belongs to the technical field of battery management, and relates to a data-driven diagnosis method for lithium analysis of lithium-ion batteries of electric vehicles. Background technique [0002] In the 21st century, human's demand for energy is increasing day by day, but the reduction of traditional energy and a series of environmental problems caused by the use of traditional energy force countries to adjust and optimize their energy structure. This phenomenon is most obvious in the automotive industry. Traditional fuel vehicles have the characteristics of low energy utilization and exhaust emissions that pollute the environment. Electric vehicles have perfectly overcome these two defects of traditional fuel vehicles. Therefore, in recent years, electric vehicles The proportion of the market has gradually increased, and related research has become a hot spot in domestic and foreign academic and industrial circles. As one of the core ...

AI Technical Summary

Problems solved by technology

At present, lithium-ion batteries are generally used as power batteries for electric vehicles. However, due to their own electrode material properties and working characteristics, the battery runs at low temperatures and faces an important problem: the analysis of lithium

However, at present, there are relatively few literatures on the use of data for lithium analysis diagnosis of electric vehicle lithium-ion batteries, and the results are relatively limited.

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