Selection of optimal lithium ion battery recycling process: A multi-criteria group decision making approach

Abstract

Recycling the essential components of lithium ion batteries (LIBs) has become more important than ever because these batteries include combustible and hazardous elements. At the same time, recovery of major components from LIBs might provide some economic benefits. The goal of this paper is to utilize a multi-criteria group decision making (MCGDM) technique to find the best recycling procedure for LIBs under Fermatean fuzzy environment (FFE). In this context, a new entropy measure (EM) as well as several aggregation operators (AOs) have been introduced under FFE. Here, the various features of EM and AOs have also been explored. A new multi-criteria decision making (MCDM) technique has been devised with the help of the AOs. The consistency and robustness of the proposed method have been verified through various comparative and sensitivity analyses. The optimum choice for lithium ion battery (LIB) recycling, according to the suggested approach, is “Blending of mechanical shredding (MS), electrolyte extraction (EE), electrode dissolution (ED) and cobalt electrochemical reduction (CECR).” The optimum LIB recycling alternative under uncertainty can be found using the suggested MCGDM in an effective computational manner.