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State of Charge Estimation of Li-ion Batteries Considering Uncertainties Due to Sensor Measurement Biases and Temperature Variations
2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
◽
10.1109/pedes49360.2020.9379871
◽
2020
◽
Author(s):
M. Hossain
◽
M. E. Haque
◽
S. Saha
◽
M.T. Arif
◽
N. Mendis
◽
...
Keyword(s):
State Of Charge
◽
Li Ion Batteries
◽
Temperature Variations
◽
Li Ion
◽
Sensor Measurement
◽
Measurement Biases
◽
State Of Charge Estimation
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Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks
Applied Soft Computing
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10.1016/j.asoc.2021.108401
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2022
◽
pp. 108401
Author(s):
Chong Bian
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Shunkun Yang
◽
Jie Liu
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Keyword(s):
Neural Networks
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State Of Charge
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Comparative Analysis of the Model Based State of Charge Estimation Methods for Li Ion Batteries Used in Electric Vehicle Applications
10.4271/2021-26-0163
◽
2021
◽
Author(s):
SHUVAM ROUTRAY
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Kranthi Nidubrolu
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Abhisha Chauhan
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Chinmay Ashok Kirtane
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Lohit Dhamija
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...
Keyword(s):
Comparative Analysis
◽
Electric Vehicle
◽
State Of Charge
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Estimation Methods
◽
Li Ion Batteries
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Model Based
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Li Ion
◽
State Of Charge Estimation
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The State of Charge Estimation of Li-Ion Batteries in Electric Vehicle Based on RBF Neural Network Optimized by Genetic Algorithm
International Journal of Digital Content Technology and its Applications
◽
10.4156/jdcta.vol7.issue5.44
◽
2013
◽
Vol 7
(5)
◽
pp. 366-373
Author(s):
Jun Bi
◽
Qiuping Xu
◽
Kai Wang
◽
Dong Zhang
Keyword(s):
Neural Network
◽
Genetic Algorithm
◽
Electric Vehicle
◽
Rbf Neural Network
◽
The State
◽
State Of Charge
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Li Ion Batteries
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Li Ion
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State Of Charge Estimation
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State of Charge Estimation for Li-Ion Batteries Based on an Unscented H-Infinity Filter
Journal of Electrical Engineering and Technology
◽
10.1007/s42835-020-00544-0
◽
2020
◽
Vol 15
(6)
◽
pp. 2529-2538
Author(s):
Yuanyuan Liu
◽
Tiantian Cai
◽
Jingbiao Liu
◽
Mingyu Gao
◽
Zhiwei He
Keyword(s):
State Of Charge
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Li Ion Batteries
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H Infinity
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Li Ion
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State Of Charge Estimation
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Improved state of charge estimation for Li-ion batteries using fractional order extended Kalman filter
Journal of Power Sources
◽
10.1016/j.jpowsour.2019.226710
◽
2019
◽
Vol 435
◽
pp. 226710
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Cited By ~ 13
Author(s):
Kodjo S.R. Mawonou
◽
Akram Eddahech
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Didier Dumur
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Dominique Beauvois
◽
Emmanuel Godoy
Keyword(s):
Kalman Filter
◽
Extended Kalman Filter
◽
Fractional Order
◽
State Of Charge
◽
Li Ion Batteries
◽
Li Ion
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State Of Charge Estimation
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A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
Applied Energy
◽
10.1016/j.apenergy.2014.02.072
◽
2014
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Vol 123
◽
pp. 263-272
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Author(s):
Xingtao Liu
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Zonghai Chen
◽
Chenbin Zhang
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Ji Wu
Keyword(s):
Particle Filter
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State Of Charge
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Li Ion Batteries
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Li Ion
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State of Charge Estimation in Li-ion Batteries Using an Isothermal Pseudo Two-Dimensional Model
IFAC Proceedings Volumes
◽
10.3182/20131218-3-in-2045.00163
◽
2013
◽
Vol 46
(32)
◽
pp. 135-140
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Cited By ~ 2
Author(s):
R. Bhushan Gopaluni
◽
Richard D Braatz
Keyword(s):
State Of Charge
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Two Dimensional
◽
Li Ion Batteries
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Dimensional Model
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Two Dimensional Model
◽
Li Ion
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State Of Charge Estimation
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State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
International Journal of Electrical Power & Energy Systems
◽
10.1016/j.ijepes.2014.04.059
◽
2014
◽
Vol 62
◽
pp. 783-791
◽
Cited By ~ 156
Author(s):
Wei He
◽
Nicholas Williard
◽
Chaochao Chen
◽
Michael Pecht
Keyword(s):
Neural Network
◽
Kalman Filter
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Unscented Kalman Filter
◽
Network Modeling
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State Of Charge
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Neural Network Modeling
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Li Ion Batteries
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Error Cancellation
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Li Ion
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Robust State of Charge estimation for Li-ion batteries based on Extended State Observers
Journal of Energy Storage
◽
10.1016/j.est.2020.101718
◽
2020
◽
Vol 31
◽
pp. 101718
Author(s):
Marco A. Sandoval-Chileño
◽
Luis A. Castañeda
◽
Alberto Luviano-Juárez
◽
Octavio Gutiérrez-Frías
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Jorge Vazquez-Arenas
Keyword(s):
State Of Charge
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Li Ion Batteries
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Extended State
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State Observers
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Li Ion
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State Of Charge Estimation
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State-of-Charge Estimation for Li-Ion Batteries: A More Accurate Hybrid Approach
IEEE Transactions on Energy Conversion
◽
10.1109/tec.2018.2861994
◽
2019
◽
Vol 34
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◽
pp. 109-119
◽
Cited By ~ 22
Author(s):
George S. Misyris
◽
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Theofilos A. Papadopoulos
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Dimitris P. Labridis
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Vassilios G. Agelidis
Keyword(s):
Hybrid Approach
◽
State Of Charge
◽
Li Ion Batteries
◽
Li Ion
◽
State Of Charge Estimation
Download Full-text
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