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A Hybrid Long Short-Term Memory Network for State-of-Charge Estimation of Li-ion Batteries
2021 IEEE Transportation Electrification Conference & Expo (ITEC)
◽
10.1109/itec51675.2021.9490188
◽
2021
◽
Author(s):
Isaiah Oyewole
◽
Mayuresh Savargaonkar
◽
Abdallah Chehade
◽
Youngki Kim
Keyword(s):
Short Term Memory
◽
State Of Charge
◽
Li Ion Batteries
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Li Ion
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
Related Documents
Cited By
References
A Long Short-Term Memory Network for Online State-of-Charge Estimation of Li-ion Battery Cells
2020 IEEE Transportation Electrification Conference & Expo (ITEC)
◽
10.1109/itec48692.2020.9161487
◽
2020
◽
Author(s):
Zunya Shi
◽
Mayuresh Savargaonkar
◽
Abdallah A. Chehade
◽
Ala A. Hussein
Keyword(s):
Short Term Memory
◽
State Of Charge
◽
Li Ion Battery
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Li Ion
◽
Long Short Term Memory
◽
State Of Charge Estimation
◽
Battery Cells
Download Full-text
Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
IEEE Transactions on Industrial Electronics
◽
10.1109/tie.2017.2787586
◽
2018
◽
Vol 65
(8)
◽
pp. 6730-6739
◽
Cited By ~ 107
Author(s):
Ephrem Chemali
◽
Phillip J. Kollmeyer
◽
Matthias Preindl
◽
Ryan Ahmed
◽
Ali Emadi
Keyword(s):
Short Term Memory
◽
State Of Charge
◽
Li Ion Batteries
◽
Short Term
◽
Term Memory
◽
Li Ion
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
Temperature Dependent State of Charge Estimation of Lithium-ion Batteries Using Long Short-Term Memory Network and Kalman Filter
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
◽
10.1109/iecon.2019.8927710
◽
2019
◽
Author(s):
Yuhang Yang
◽
Alice Dong
◽
Yihui Li
◽
Ryan Ahmed
◽
Ali Emadi
Keyword(s):
Short Term Memory
◽
Lithium Ion
◽
State Of Charge
◽
Temperature Dependent
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
◽
Dependent State
Download Full-text
State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network
IEEE Access
◽
10.1109/access.2019.2912803
◽
2019
◽
Vol 7
◽
pp. 53792-53799
◽
Cited By ~ 22
Author(s):
Fangfang Yang
◽
Xiangbao Song
◽
Fan Xu
◽
Kwok-Leung Tsui
Keyword(s):
Lithium Ion Batteries
◽
Short Term Memory
◽
Lithium Ion
◽
State Of Charge
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
State-of-charge estimation method of lithium-ion batteries based on long-short term memory network
IOP Conference Series Earth and Environmental Science
◽
10.1088/1755-1315/208/1/012001
◽
2018
◽
Vol 208
◽
pp. 012001
◽
Cited By ~ 1
Author(s):
Qichang Zhang
◽
Bing Liu
◽
Fei Zhou
◽
Qianzhi Wang
◽
Jizhou Kong
Keyword(s):
Lithium Ion Batteries
◽
Short Term Memory
◽
Estimation Method
◽
Lithium Ion
◽
State Of Charge
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
A combined robust approach based on auto‐regressive long short‐term memory network and moving horizon estimation for state‐of‐charge estimation of lithium‐ion batteries
International Journal of Energy Research
◽
10.1002/er.6615
◽
2021
◽
Author(s):
Yong Chen
◽
Changlong Li
◽
Sizhong Chen
◽
Hongbin Ren
◽
Zepeng Gao
Keyword(s):
Short Term Memory
◽
Lithium Ion
◽
State Of Charge
◽
Short Term
◽
Term Memory
◽
Robust Approach
◽
Auto Regressive
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
State‐of‐charge estimation for LiNi 0 . 6 Co 0 . 2 Mn 0 . 2 O 2 /graphite batteries using the compound method with improved extended Kalman filter and long short‐term memory network
International Journal of Energy Research
◽
10.1002/er.6234
◽
2020
◽
Author(s):
Shuai Xu
◽
Jianxiong Zhou
◽
Fei Zhou
◽
Yuchen Liu
Keyword(s):
Kalman Filter
◽
Extended Kalman Filter
◽
Short Term Memory
◽
State Of Charge
◽
Short Term
◽
Term Memory
◽
Memory Network
◽
Compound Method
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter
Applied Energy
◽
10.1016/j.apenergy.2020.114789
◽
2020
◽
Vol 265
◽
pp. 114789
◽
Cited By ~ 16
Author(s):
Yong Tian
◽
Rucong Lai
◽
Xiaoyu Li
◽
Lijuan Xiang
◽
Jindong Tian
Keyword(s):
Short Term Memory
◽
Lithium Ion
◽
State Of Charge
◽
Combined Method
◽
Short Term
◽
Term Memory
◽
Cubature Kalman Filter
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning
2019 IEEE Transportation Electrification Conference and Expo (ITEC)
◽
10.1109/itec.2019.8790543
◽
2019
◽
Cited By ~ 6
Author(s):
Carlos Vidal
◽
Phillip Kollmeyer
◽
Ephrem Chemali
◽
Ali Emadi
Keyword(s):
Neural Network
◽
Short Term Memory
◽
State Of Charge
◽
Li Ion Battery
◽
Short Term
◽
Term Memory
◽
Battery State Of Charge
◽
Li Ion
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
Battery State of Charge Estimation Using Long Short-Term Memory Network and Extended Kalman Filter
2020 39th Chinese Control Conference (CCC)
◽
10.23919/ccc50068.2020.9188934
◽
2020
◽
Author(s):
Zichuan Ni
◽
Ying Yang
◽
Xianchao Xiu
Keyword(s):
Kalman Filter
◽
Extended Kalman Filter
◽
Short Term Memory
◽
State Of Charge
◽
Short Term
◽
Term Memory
◽
Battery State Of Charge
◽
Memory Network
◽
Long Short Term Memory
◽
State Of Charge Estimation
Download Full-text
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