Open AccessLi-ion Battery Aging with Hybrid Physics-Informed Neural Networks and Fleet-wide Data
Author(s) -
Renato Giorgiani do Nascimento,
Matteo Corbetta,
Chetan S. Kulkarni,
Felipe A. C. Viana
Publication year - 2021
Publication title -
proceedings of the annual conference of the prognostics and health management society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.18
H-Index - 11
ISSN - 2325-0178
DOI - 10.36001/phmconf.2021.v13i1.2998
Subject(s) - battery (electricity) , computer science , residual , state of health , software deployment , field (mathematics) , artificial neural network , state of charge , power (physics) , simulation , reliability engineering , artificial intelligence , engineering , algorithm , physics , mathematics , quantum mechanics , pure mathematics , operating system