Open AccessMachine-Learning Assisted Identification of Accurate Battery Lifetime Models with Uncertainty
Author(s) -
Paul Gasper,
Nils Collath,
Holger C. Hesse,
Andreas Jossen,
Kandler Smith
Publication year - 2022
Publication title -
journal of the electrochemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.258
H-Index - 271
eISSN - 1945-7111
pISSN - 0013-4651
DOI - 10.1149/1945-7111/ac86a8
Subject(s) - computer science , identification (biology) , battery (electricity) , machine learning , bootstrapping (finance) , resampling , accelerated aging , uncertainty quantification , artificial intelligence , ensemble forecasting , uncertainty analysis , reliability engineering , data mining , simulation , econometrics , mathematics , engineering , power (physics) , physics , botany , quantum mechanics , biology
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