Battery Aging Models
Battery Aging Models is a computational framework that characterizes the degradation mechanisms of lithium-ion batteries over time by identifying and quantifying the dominant factors influencing capacity fade and impedance rise under varying operational conditions.
915
Publications
77.2K
Citations
3.1K
Authors
799
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Publications per year
2017–2026
700
Variants
Battery Degradation Models
Parents
915
Data-driven prediction of battery cycle life before capacity degradation
Kristen Severson, Peter M. Attia, Norman Jin et al. · Nature Energy · 2019 · 2.9K citations · Full text
Quantifying inactive lithium in lithium metal batteries
Chengcheng Fang, Jinxing Li, Minghao Zhang et al. · Nature · 2019 · 1.4K citations · Full text
Natural Sciences, Materials Engineering, Materials Science +14
Wladislaw Waag, Stefan Käbitz, Dirk Uwe Sauer · Applied Energy · 2012 · 954 citations
Natural Sciences, Materials Engineering, Materials Science +16
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Tsinghua University
Beijing, China
28 h-index
149 publications
21.1K citations

Beijing Institute of Technology
Beijing, China
27 h-index
89 publications
12.6K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
100 publications
6.8K citations

Chongqing University
Chongqing, China
23 h-index
46 publications
3.7K citations

University of Warwick
Coventry, United Kingdom
22 h-index
54 publications
8.6K citations
RWTH Aachen University
Aachen, Germany
21 h-index
88 publications
15.1K citations
Technical University of Munich
Munich, Germany
20 h-index
83 publications
5K citations

Harbin Institute of Technology
Harbin, China
20 h-index
88 publications
7.8K citations
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94 publications · 14.6K citations
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123 publications · 6.5K citations
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55 publications · 7.6K citations
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55 publications · 4.8K citations
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JES · 32 publications · 3.4K citations
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