Background thermal runaway early warning method based on big data according to variation curve

Abstract

The invention provides a background thermal runaway early warning method based on big data according to a variation curve. The method comprises the following steps: analyzing and obtaining factors forinducing thermal runaway of a battery pack by collecting thermal runaway cases and test data; analyzing the data of the battery pack before thermal runaway to obtain the variable quantity of the battery pack every 500 mS before thermal runaway; establishing a corresponding type of battery cell fault module model according to various factors inducing thermal runaway, arranging and summarizing a database, calculating the variation of each acquisition quantity in the minimum period, forming a variation curve of the acquisition quantity corresponding to each battery cell, comparing curves of normal battery cells and problem battery cells, finding out curve characteristics of the problem battery cells, forming a problem battery cell variation curve model database, and storing the problem battery cell variation curve model database to a background controller; and calculating the variation curve of the real-time data acquisition quantity, comparing the variation curve with the curve model database, and when the similarity of the variation curve of the real-time data acquisition quantity and the data inventory of the variation curve of the problem battery cell exceeds 60%, judging that the string battery cell has a thermal runaway risk, and carrying out early warning in advance.

Description

technical field [0001] The invention relates to the field of battery safety early warning, in particular to a backstage thermal runaway early warning method based on big data dependent variation curves. Background technique [0002] With the widespread popularity of electric vehicles, smoke, fire, and explosion accidents often occur, most of which are further accidents caused by thermal runaway inside the battery pack. In order to reduce the occurrence of thermal runaway accidents, in addition to selecting reliable batteries, doing a good job in scheme design and material selection, it is also very important to be able to provide early warning of thermal runaway for battery packs, so as to carry out repairs and maintenance in advance to prevent accidents caused by thermal runaway occur. The current thermal runaway warning of the battery pack mainly uses BMS (battery management system) to collect the surface temperature of the single cell, and then predicts the alarm through...

AI Technical Summary

Problems solved by technology

Since the temperature alarm threshold is a fixed extreme value, when the surface temperature of the battery cell reaches the alarm value, it is very close to the state of thermal runaway or thermal runaway has occurred. At this time, the battery pack may cause fire and explosion accidents at any time, and early warning cannot be carried out for inspection and maintenance.