ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
1
views
133
references
Top references
cited by
1
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,835
similar
All similar
Record
: found
Abstract
: found
Article
: found
Is Open Access
The development of machine learning-based remaining useful life prediction for lithium-ion batteries
Author(s):
Xingjun Li
,
Dan Yu
,
Vilsen Søren Byg
,
Store Daniel Ioan
Publication date
Created:
July 2023
Publication date
(Print):
July 2023
Journal:
Journal of Energy Chemistry
Publisher:
Elsevier BV
Read this article at
ScienceOpen
Publisher
Download
XML
Review
Review article
Invite someone to review
Bookmark
Cite as...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Annual Reviews AI, Machine Learning, and Society
Most cited references
133
Record
: found
Abstract
: not found
Article
: not found
Data-driven prediction of battery cycle life before capacity degradation
Kristen A. Severson
,
Peter Attia
,
Norman Jin
…
(2019)
0
comments
Cited
298
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
Closed-loop optimization of fast-charging protocols for batteries with machine learning
Peter Attia
,
Aditya Grover
,
Norman Jin
…
(2020)
0
comments
Cited
160
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Yongzhi Zhang
,
Rui Xiong
,
Hongwen He
…
(2018)
0
comments
Cited
124
times
– based on
0
reviews
Review now
Bookmark
All references
Author and article information
Journal
Title:
Journal of Energy Chemistry
Abbreviated Title:
Journal of Energy Chemistry
Publisher:
Elsevier BV
ISSN (Print):
20954956
Publication date Created:
July 2023
Publication date (Print):
July 2023
Volume
: 82
Pages
: 103-121
Article
DOI:
10.1016/j.jechem.2023.03.026
SO-VID:
aee6d5ae-60f8-4e92-b412-a0a664d009e0
Copyright ©
© 2023
License:
https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
History
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
1,835
Chemotherapy remains a cornerstone in the treatment of nonsmall cell lung cancer
Authors:
Robert Pirker
Transfer remaining useful life estimation of bearing using depth-wise separable convolution recurrent network
Authors:
Y HUANG
,
Gangjin Huang
,
Yuanliang Zhang
…
Natriuretic peptide family as diagnostic/prognostic biomarker and treatment modality in management of adult and geriatric patients with heart failure: remaining issues and challenges
Authors:
Zhen-Lu Zhang
,
Ran Li
,
Fei-Yan Yang
…
See all similar
Cited by
1
Lithium-ion battery degradation trajectory early prediction with synthetic dataset and deep learning
Authors:
Mingqiang Lin
,
Yuqiang You
,
Jinhao Meng
…
See all cited by
Most referenced authors
945
X Li
Y Liu
X Wang
See all reference authors