Review—“Knees” in Lithium-Ion Battery Aging Trajectories

Peter M. Attia(Stanford University), Alexander Bills(Carnegie Mellon University), Ferran Brosa Planella(University of Warwick), Philipp Dechent(RWTH Aachen University), Gonçalo dos Reis(University of Edinburgh), Matthieu Dubarry(University of Hawaiʻi at Mānoa), Paul Gasper(National Laboratory of the Rockies), R. Gilchrist(University of Edinburgh), Samuel Greenbank(University of Oxford), David A. Howey(University of Oxford), Ouyang Liu(Agency for Science, Technology and Research), Edwin Khoo(Agency for Science, Technology and Research), Yuliya Preger(Sandia National Laboratories), A. H. Soni(University of Cincinnati), Shashank Sripad(Carnegie Mellon University), Anna G. Stefanopoulou(University of Michigan), Valentin Sulzer(University of Michigan)
Journal of The Electrochemical Society
May 5, 2022
Cited by 433Open Access
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Abstract

Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear degradation that severely limits battery lifetime. In this work, we review prior work on “knees” in lithium-ion battery aging trajectories. We first review definitions for knees and three classes of “internal state trajectories” (termed snowball, hidden, and threshold trajectories) that can cause a knee. We then discuss six knee “pathways”, including lithium plating, electrode saturation, resistance growth, electrolyte and additive depletion, percolation-limited connectivity, and mechanical deformation—some of which have internal state trajectories with signals that are electrochemically undetectable. We also identify key design and usage sensitivities for knees. Finally, we discuss challenges and opportunities for knee modeling and prediction. Our findings illustrate the complexity and subtlety of lithium-ion battery degradation and can aid both academic and industrial efforts to improve battery lifetime.


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