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2102.00837
Cited By
Machine learning pipeline for battery state of health estimation
1 February 2021
D. Roman
Saurabh Saxena
Valentin Robu
Michael G. Pecht
David Flynn
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Papers citing
"Machine learning pipeline for battery state of health estimation"
21 / 21 papers shown
Title
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols
Yuqi Li
Han Zhang
Xiaofan Gui
Z. Chen
Yongqian Li
...
Ziheng Lu
W. Xu
Jiang Bian
Lu Chen
Hong Li
20
0
0
25 Mar 2025
Diagnostic-free onboard battery health assessment
Yunhong Che
Vivek N. Lam
Jinwook Rhyu
Joachim Schaeffer
Minsu Kim
M. Bazant
W. Chueh
R. D. Braatz
52
0
0
10 Mar 2025
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Ruifeng Tan
Weixiang Hong
Jiayue Tang
Xibin Lu
Ruijun Ma
Xiang Zheng
Jia Li
Jiaqiang Huang
T. Zhang
AI4TS
64
0
0
26 Feb 2025
PulseBat: A field-accessible dataset for second-life battery diagnostics from realistic histories using multidimensional rapid pulse test
Shengyu Tao
Guangyuan Ma
Huixiong Yang
Minyan Lu
Guodan Wei
Guangmin Zhou
Xuan Zhang
43
6
0
24 Feb 2025
Coupling Machine Learning with Ontology for Robotics Applications
Osama F. Zaki
18
0
0
08 Jun 2024
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
Kristupas Bajarunas
Marcia Baptista
Kai Goebel
M. A. Chao
24
3
0
08 May 2024
Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditions
Anirudh Narayan
Akshat Johar
Divye Kalra
Bhavya Ardeshna
Ankur Bhattacharjee
16
0
0
26 Apr 2024
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities
Ying Zhang
Valentin Robu
Sho Cremers
Sonam Norbu
Benoit Couraud
M. Andoni
David Flynn
H. V. Poor
13
26
0
19 Nov 2023
Accurate battery lifetime prediction across diverse aging conditions with deep learning
Han Zhang
Yuqi Li
Shun Zheng
Ziheng Lu
Xiaofan Gui
Wei Xu
Jiang Bian
18
0
0
08 Oct 2023
Distribution-free risk assessment of regression-based machine learning algorithms
Sukrita Singh
Neeraj Sarna
Yuanyuan Li
Yang Li
Agni Orfanoudaki
Michael Berger
OOD
11
2
0
05 Oct 2023
Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling
R. I. Made
Jing Lin
Jintao Zhang
Yu Zhang
L. Moh
...
Ning Ding
S. Y. Chiam
Edwin Khoo
Xuesong Yin
Guangyuan Wesley Zheng
13
5
0
21 Sep 2023
Depth analysis of battery performance based on a data-driven approach
Zhen Zhang
Hong-Bing Sun
Hui Sun
13
3
0
30 Aug 2023
Toward High-Performance Energy and Power Battery Cells with Machine Learning-based Optimization of Electrode Manufacturing
M. Duquesnoy
C. Liu
Vishank Kumar
E. Ayerbe
A. Franco
18
2
0
07 Jul 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
30
75
0
07 May 2023
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles
Xin Chen
Yuwen Qin
Weidong Zhao
Qiming Yang
Ningbo Cai
Kai Wu
38
7
0
11 Apr 2023
Lithium-ion Battery Online Knee Onset Detection by Matrix Profile
K. Zhou
Yan Qin
Chau Yuen
15
8
0
03 Apr 2023
Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound
D. Navon
A. Bronstein
11
3
0
17 Aug 2022
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
Luca Biggio
Tommaso Bendinelli
Chetan S. Kulkarni
Olga Fink
30
10
0
01 Jun 2022
Multivariate Prediction Intervals for Random Forests
Brendan Folie
Maxwell Hutchinson
386
0
0
04 May 2022
Evaluating feasibility of batteries for second-life applications using machine learning
Aki Takahashi
A. Allam
S. Onori
6
15
0
08 Mar 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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