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

• Published in: ChemElectroChem Vol. 6; no. 14; pp. 3714 - 3725
• Main Authors: Agyei Appiah, Williams, Park, Joonam, Byun, Seoungwoo, Roh, Youngjoon, Ryou, Myung‐Hyun, Lee, Yong Min
• Format: Journal Article
• Language: English
• Published: Weinheim John Wiley & Sons, Inc 15.07.2019
• Subjects: accelerated cyclic aging analysis; Aging; Electrodes; Empirical analysis; Graphite; Lithium manganese oxides; Lithium-ion batteries; Organic chemistry; physico-chemical model; simple empirical life model; Superposition (mathematics); time-temperature superposition
• ISSN: 2196-0216; 2196-0216
• DOI: 10.1002/celc.201900748

We 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. Combining models: A proposed framework involving the coupling of a physico‐chemical capacity fade model and a porous composite electrode model for the accelerated cycling aging analysis of lithium‐ion batteries based on the principle of time‐temperature superposition is presented.