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pro vyhledávání: '"Attia, Peter M"'
Autor:
Condon, Amariah, Buscarino, Bailey, Moch, Eric, Sehnert, William J., Miles, Owen, Herring, Patrick K., Attia, Peter M.
Battery technology is increasingly important for global electrification efforts. However, batteries are highly sensitive to small manufacturing variations that can induce reliability or safety issues. An important technology for battery quality contr
Externí odkaz:
http://arxiv.org/abs/2403.02527
As the impacts of climate change become increasingly apparent, the need for widespread electrification is now internationally recognized. As a result, global battery production is set to dramatically expand over the next decade. Unfortunately, howeve
Externí odkaz:
http://arxiv.org/abs/2403.01065
Autor:
Weng, Andrew, Mohtat, Peyman, Attia, Peter M., Sulzer, Valentin, Lee, Suhak, Less, Greg, Stefanopoulou, Anna
Publikováno v:
Joule, Volume 5, Issue 11, 17 November 2021, Pages 2971-2992
Increasing the speed of battery formation can significantly lower lithium-ion battery manufacturing costs. However, adopting faster formation protocols in practical manufacturing settings is challenging due to a lack of inexpensive, rapid diagnostic
Externí odkaz:
http://arxiv.org/abs/2203.14158
Autor:
Attia, Peter M., Bills, Alexander, Planella, Ferran Brosa, Dechent, Philipp, Reis, Gonçalo dos, Dubarry, Matthieu, Gasper, Paul, Gilchrist, Richard, Greenbank, Samuel, Howey, David, Liu, Ouyang, Khoo, Edwin, Preger, Yuliya, Soni, Abhishek, Sripad, Shashank, Stefanopoulou, Anna G., Sulzer, Valentin
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 f
Externí odkaz:
http://arxiv.org/abs/2201.02891
Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable training sets are available. However, while advanced machine learning and
Externí odkaz:
http://arxiv.org/abs/2101.01885
Publikováno v:
J. Electrochem. Soc. 2019 volume 166, issue 4, E107-E118
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 source of capacity fade. Experiments in Part I reveal nonlinear volta
Externí odkaz:
http://arxiv.org/abs/1901.01326
Publikováno v:
J. Electrochem. Soc., 166(4), E97 (2019)
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, the fundamental mechanisms underpinning SEI growth remain unclear. In
Externí odkaz:
http://arxiv.org/abs/1901.01190
Autor:
Jiang, Benben, Gent, William E., Mohr, Fabian, Das, Supratim, Berliner, Marc D., Forsuelo, Michael, Zhao, Hongbo, Attia, Peter M., Grover, Aditya, Herring, Patrick K., Bazant, Martin Z., Harris, Stephen J., Ermon, Stefano, Chueh, William C., Braatz, Richard D.
Publikováno v:
In Joule 15 December 2021 5(12):3187-3203
Autor:
Weng, Andrew, Mohtat, Peyman, Attia, Peter M., Sulzer, Valentin, Lee, Suhak, Less, Greg, Stefanopoulou, Anna
Publikováno v:
In Joule 17 November 2021 5(11):2971-2992
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