Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries

Abstract

To solve the problems of the decreased reliability and safety of battery pack due to the inconsistency between batteries after single batteries are grouped is of great significance to find an appropriate sorting method of single batteries. This study systematically reviews the available literature on battery sorting applications for battery researchers and users. These methods can be roughly divided into three types: direct measurement, sorting based on the model, and sorting based on the material chemistry of batteries. Among them, direct measurement is about the direct measurement of the state parameters of batteries using some professional instruments or testing tools to sort and group batteries with similar or close parameters. Sorting based on the model classifies batteries into groups by establishing a battery equivalent model and carrying out model identification and parameter estimation with machine learning or artificial intelligence algorithm. Sorting based on the material chemistry of batteries is to explore some characteristics related to the chemical mechanism inside the battery. On the basis of reading extensive literature, the methods for classification of battery are provided with an in-depth explanation, and each corresponding strengths and weaknesses of these methods are analyzed. Finally, the future developments of advanced sorting algorithms and batteries prospect.

Automated Battery Disassembly—Examination of the Product- and Process-Related Challenges for Automotive Traction Batteries

“…Battery systems may have spent ten or more years in the vehicle at this point, with their state of health (SOH) typically already down to around 70-80% or less [6,7]. In addition to SOH, factors such as the active material used in the cells and the physical condition are of interest for a classification [8,9].…”