State of Health Estimation of Lithium-Ion Batteries for Dynamic Driving Profiles Based on Feature Extraction from Battery Relaxation Time Using Machine Learning.
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%0 Conference Paper
%1 conf/iecon/GhoshGWP22
%A Ghosh, Nitika
%A Garg, Akhil
%A Warnecke, Alexander
%A Panigrahi, Bijaya K.
%B IECON
%D 2022
%I IEEE
%K dblp
%P 1-6
%T State of Health Estimation of Lithium-Ion Batteries for Dynamic Driving Profiles Based on Feature Extraction from Battery Relaxation Time Using Machine Learning.
%U http://dblp.uni-trier.de/db/conf/iecon/iecon2022.html#GhoshGWP22
%@ 978-1-6654-8025-3
@inproceedings{conf/iecon/GhoshGWP22,
added-at = {2023-01-04T00:00:00.000+0100},
author = {Ghosh, Nitika and Garg, Akhil and Warnecke, Alexander and Panigrahi, Bijaya K.},
biburl = {https://www.bibsonomy.org/bibtex/2318e767fcdefe5f9ae391f3c4eb4e092/dblp},
booktitle = {IECON},
crossref = {conf/iecon/2022},
ee = {https://doi.org/10.1109/IECON49645.2022.9968789},
interhash = {84f7de81a498a332bb6f5903a5cf7233},
intrahash = {318e767fcdefe5f9ae391f3c4eb4e092},
isbn = {978-1-6654-8025-3},
keywords = {dblp},
pages = {1-6},
publisher = {IEEE},
timestamp = {2024-04-09T17:56:11.000+0200},
title = {State of Health Estimation of Lithium-Ion Batteries for Dynamic Driving Profiles Based on Feature Extraction from Battery Relaxation Time Using Machine Learning.},
url = {http://dblp.uni-trier.de/db/conf/iecon/iecon2022.html#GhoshGWP22},
year = 2022
}
