Data-driven State Of Charge Estimation
Data-Driven State of Charge Estimation is a state of charge estimation method that relies on empirical data and statistical learning techniques rather than explicit electrochemical or physical models to infer the charge level of a battery.
147
Publications
10.5K
Citations
593
Authors
201
Institutions
Publications per year
2017–2026
130
Parents
147
Methods for state-of-charge determination and their applications
S. Piller, Marion Perrin, Andreas Jossen · Journal of Power Sources · 2001 · 1.1K citations
Natural Sciences, Chemistry, Physics +11
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201

Xi'an Jiaotong University
Xi'an, China
9 h-index
30 publications
2.5K citations

Beijing Institute of Technology
Beijing, China
8 h-index
22 publications
3.3K citations
Tsinghua University
Beijing, China
6 h-index
31 publications
3.7K citations

Chongqing University
Chongqing, China
4 h-index
12 publications
2.3K citations

Southeast University
Nanjing, China
4 h-index
8 publications
384 citations

Hefei University of Technology
Hefei, China
4 h-index
15 publications
1.1K citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
11 publications
1.4K citations
Politecnico di Milano
Milan, Italy
3 h-index
10 publications
358 citations
1–8 of 201
20 publications · 2K citations
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19 publications · 673 citations
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13 publications · 1.8K citations
11
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9 publications · 322 citations
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6 publications · 739 citations
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