Time‐Effective Accelerated Cyclic Aging Analysis of Lithium‐Ion Batteries

Abstract

AbstractWe propose a time‐effective framework for accelerated cyclic aging analysis of lithium‐ion batteries. The proposed framework involves the coupling of a physico‐chemical capacity‐fade model that considers the cyclic aging mechanisms of the LiMn2O4/graphite cell, with a physics‐based porous‐composite electrode model to predict cycling performance at different temperatures. A one‐dimensional simple empirical life model is then developed from the coupled physico‐chemical capacity‐fade model and the physics‐based porous‐composite electrode model predictions. An accelerated cyclic aging analysis based on the principle of time‐temperature superposition is performed using the developed one‐dimensional simple life empirical model. The proposed framework is used to predict the maximum number of cycles and the highest temperature required for accelerated cyclic aging analysis of LiMn2O4/graphite cells. The efficacy of the proposed framework is validated with experimental cycle‐performance data obtained from LiMn2O4/graphite coin cells at 25 and 60 °C.