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Predicting the Impact of Formation Protocols on Battery Lifetime Immediately After Manufacturing

34 Pages Posted: 5 Aug 2021 Publication Status: Published

See all articles by Andrew Weng

Andrew Weng

University of Michigan - Department of Mechanical Engineering

Peyman Mohtat

University of Michigan - Department of Mechanical Engineering

Peter M. Attia

Stanford University - Department of Materials Science and Engineering

Valentin Sulzer

University of Michigan - Department of Mechanical Engineering

Suhak Lee

University of Michigan - Department of Mechanical Engineering

Greg Less

University of Michigan Battery Lab

Anna G. Stefanopoulou

University of Michigan - Department of Mechanical Engineering

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Abstract

Increasing the speed of battery formation can significantly lower lithium ion battery manufacturing costs. However, adopting faster formation protocols in real manufacturing settings is challenging due to a lack of inexpensive, rapid diagnostic signals that can inform possible impacts to long term battery lifetime. In this work, we identify the cell resistance measured at low states of charge as an early-life diagnostic feature for screening new formation protocols. We show that this signal correlates to cycle life and improves the accuracy of data-driven battery lifetime prediction models. The signal is obtainable at the end of the manufacturing line, takes seconds to acquire, and does not add any additional capital cost. We explore a physical connection between this resistance signal and the amount of lithium consumed during formation, which suggests that the technique may be broadly applicable for evaluating any battery manufacturing process or design change that could impact the total lithium consumed during formation. This work demonstrates that carefully engineered, simple features can provide useful diagnostics and prognostics for battery degradation at the beginning of life.

Suggested Citation

Weng, Andrew and Mohtat, Peyman and Attia, Peter M. and Sulzer, Valentin and Lee, Suhak and Less, Greg and Stefanopoulou, Anna G., Predicting the Impact of Formation Protocols on Battery Lifetime Immediately After Manufacturing. Available at SSRN: https://ssrn.com/abstract=3900211 or http://dx.doi.org/10.2139/ssrn.3900211
This version of the paper has not been formally peer reviewed.

Andrew Weng (Contact Author)

University of Michigan - Department of Mechanical Engineering ( email )

United States

Peyman Mohtat

University of Michigan - Department of Mechanical Engineering ( email )

United States

Peter M. Attia

Stanford University - Department of Materials Science and Engineering

Stanford, CA 94305
United States

Valentin Sulzer

University of Michigan - Department of Mechanical Engineering ( email )

Ann Arbor, MI 48109
United States

Suhak Lee

University of Michigan - Department of Mechanical Engineering ( email )

Ann Arbor, MI 48109
United States

Greg Less

University of Michigan Battery Lab ( email )

Ann Arbor, MI
United States

Anna G. Stefanopoulou

University of Michigan - Department of Mechanical Engineering ( email )

United States

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