Method for constructing lithium ion battery thermal runaway prediction model and prediction system

Abstract

The invention discloses a method for constructing a lithium ion battery thermal runaway prediction model and a prediction system, and the method comprises the following steps: carrying out a thermal runaway experiment on a lithium ion battery, and collecting battery sequence characteristic data including temperature, voltage and current, and sound signals and thermal imaging data; slicing the data to generate historical data; recording the battery state as y, and dividing a thermal runaway state y = 1 and a non-thermal runaway state y = 0 according to a temperature threshold; taking historical data as input, taking a battery thermal runaway abnormal state as a label, and extracting data features; calculating attention weights of all data features, and performing feature fusion; the thermal runaway state of the lithium ion battery is obtained through the classifier; historical data are divided into a training set and a test set to be input into the model for training and verification, the accuracy rate is used as an evaluation index to judge the accuracy rate of the model, and therefore a thermal runaway prediction model is constructed. The multi-modal model constructed by the method improves the accuracy of thermal runaway prediction.

Description

technical field [0001] The invention belongs to the technical field of battery safety prediction and identification, and in particular relates to a method and a prediction system for constructing a lithium-ion battery thermal runaway prediction model. Background technique [0002] Lithium-ion batteries have been widely used as a clean energy source in electric vehicles and electronic devices due to their high energy density, long life, and small size. However, in practical applications, lithium-ion batteries will encounter some abnormal conditions, including mechanical abuse, electrical abuse, and thermal abuse. If thermal runaway occurs in lithium-ion batteries, it will cause serious accidents, so battery thermal runaway warning is an urgent safety issue that needs to be solved. [0003] At present, many researchers explore the internal reaction mechanism and external characteristics of lithium-ion batteries in the thermal runaway process based on experiments or simulation...

AI Technical Summary

Problems solved by technology

However, due to the use of normal batteries for prediction, there is a large deviation from the real thermal runaway state

[0004] In addition, in addition to the essential characteristics of the battery itself, there may be sounds and local abnormal heating in the battery before the battery thermal runaway. These features may appear earlier than abnormalities in measurement data such as voltage, current, and temperature.

Images