Lithium iron phosphate-lithium titanate battery life cycle prediction method

Abstract

The invention discloses a lithium iron phosphate-lithium titanate battery life cycle prediction method comprising the following steps: cycling the lithium iron phosphate-lithium titanate battery of certain model specification for an assigned times, and detecting the battery electrical property; disassembling the battery so as to obtain one or more of the following materials: anode material, cathode material, diaphragm and electrolyte; carrying out knowledge of material detection and/or analytical chemistry detection so as to build a standard database, and storing the corresponding relations between the lithium iron phosphate-lithium titanate battery electrical property indexes, knowledge of material parameters and/or analytical chemistry parameters and the cycle times into the database; taking a tested lithium iron phosphate-lithium titanate battery out, disassembling the battery and carrying out related detections, comparing obtained data with the database, and predicting the battery residual cycle time. The method can combine the battery electrical property test, battery ingredient knowledge of material and analytical chemistry detection means, thus relatively accurately evaluating the lithium iron phosphate-lithium titanate battery performance attenuation level, predicting the residual service life, and effectively reducing prediction errors.

Description

Technical field [0001] The invention belongs to the field of storage batteries. More specifically, the invention relates to a method for predicting the life cycle of a lithium iron phosphate-lithium titanate battery. Background technique [0002] Due to its high safety, high stability, long life and environmental protection characteristics, lithium titanate is an ideal anode material for lithium batteries. A battery with lithium titanate as the negative electrode and lithium iron phosphate as the positive electrode is very suitable for use as a power source for new energy vehicles. But no matter what kind of power battery will face the problem of retirement. When the performance of the power battery drops to 80%, it will meet the new energy vehicle power battery scrap standard. If these batteries are directly disassembled, it will cause a great waste of resources. Therefore, the country vigorously advocates the cascading use of waste power batteries to increase the use value of...

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 metho