488 citations · 941 across the 5 of their papers we have counts for
5 papers
Predicting the impact of formation protocols on battery lifetime immediately after manufacturing
Andrew Weng, Peyman Mohtat, Peter M. Attia +4
Increasing the speed of battery formation can significantly lower lithium-ion battery manufacturing costs. However, adopting faster formation protocols in practical manufacturing s…
"Knees" in lithium-ion battery aging trajectories
Peter M. Attia, Alexander Bills, Ferran Brosa Planella +14
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…
Statistical learning for accurate and interpretable battery lifetime prediction
Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer
Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable trai…
Electrochemical kinetics of SEI growth on carbon black, I: Experiments
Peter M. Attia, Supratim Das, Stephen J. Harris +2
Growth of the solid electrolyte interphase (SEI) is a primary driver of capacity fade in lithium-ion batteries. Despite its importance to this device and intense research interest,…
Electrochemical kinetics of SEI growth on carbon black, II: Modeling
Supratim Das, Peter M. Attia, William C. Chueh +1
Mathematical models of capacity fade can reduce the time and cost of lithium-ion battery development and deployment, and growth of the solid-electrolyte interphase (SEI) is a major…