Lithium battery life period prediction method

Abstract

The invention relates to a lithium battery life period prediction method comprising the following steps: cycling a lithium power battery of certain model specification for an assigned time, and detecting electrical property thereof; dismounting the battery so as to obtain one or more of the following battery materials: anode material, cathode material, diaphragm and electrolyte; carrying out knowledge of material detection and / or analytical chemistry detection, and building a standard database containing corresponding relations between lithium power battery electrical property indexes, knowledge of material parameters and / or analytical chemistry parameters and cycling times; dismounting a tested lithium power battery and carrying out correlation detections, comparing the data, and predicting the battery residual cycling time. The lithium battery life period prediction method can provide accurate basis for determining the waste power battery residual cycle times, provides an evaluation method for positioning waste lithium power battery gradient utilization products, thus solving the errors caused by singly using the electrical property parameter and cycle time / life corresponding relation to predict the battery life.

Description

technical field [0001] The invention belongs to the field of storage batteries, and more specifically, the invention relates to a method for predicting the life cycle of lithium batteries. Background technique [0002] With the rapid development of new energy vehicles driven by national strategies, the resulting waste power batteries will also increase rapidly after 2018. Since the power battery performance drops to 80%, it has reached the new energy vehicle power battery scrap standard. If these batteries are directly disassembled, it will cause a great waste of resources. Therefore, the state vigorously advocates the cascade utilization of waste power batteries to improve the use value of batteries in their entire life cycle. The waste power battery pack will be unpacked, the modules will be tested, screened and reassembled, and the cascade utilization will be applied to energy storage or related power supply base stations, street lamps, low-speed vehicles and other field...

AI Technical Summary

Problems solved by technology

The above two types of methods are non-destructive evaluation methods, which can only roughly predict the remaining value of batteries, and cannot meet the needs of cascade utilization for accurate prediction of the remaining life of waste power batteries.

[0005] At present, there is a lack of an accurate prediction method for the remaining life cycle of scrapped lithium power batteries, which can evaluate the attenuation degree of battery performance from all angles, so as to provide a basis for the cascade utilization of waste lithium power batteries