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Guangzhong Dong
Guangzhong Dong
Chalmers University of Technology
Verifierad e-postadress på ieee.org - Startsida
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Remaining useful life prediction and state of health diagnosis for lithium-ion batteries using particle filter and support vector regression
J Wei, G Dong, Z Chen
IEEE Transactions on Industrial Electronics 65 (7), 5634-5643, 2017
4542017
Battery health prognosis using Brownian motion modeling and particle filtering
G Dong, Z Chen, J Wei, Q Ling
IEEE Transactions on Industrial Electronics 65 (11), 8646-8655, 2018
2022018
A method for state of energy estimation of lithium-ion batteries based on neural network model
G Dong, X Zhang, C Zhang, Z Chen
Energy 90, 879-888, 2015
1722015
Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method
G Dong, J Wei, C Zhang, Z Chen
Applied Energy 162, 163-171, 2016
1652016
Noise-immune model identification and state-of-charge estimation for lithium-ion battery using bilinear parameterization
Z Wei, G Dong, X Zhang, J Pou, Z Quan, H He
IEEE Transactions on Industrial Electronics 68 (1), 312-323, 2020
1592020
Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries
Z Chen, H Sun, G Dong, J Wei, JI Wu
Journal of Power Sources 414, 158-166, 2019
1332019
An online model-based method for state of energy estimation of lithium-ion batteries using dual filters
G Dong, Z Chen, J Wei, C Zhang, P Wang
Journal of Power Sources 301, 277-286, 2016
1302016
Online estimation of power capacity with noise effect attenuation for lithium-ion battery
Z Wei, J Zhao, R Xiong, G Dong, J Pou, KJ Tseng
IEEE Transactions on Industrial Electronics 66 (7), 5724-5735, 2018
1212018
A noise-tolerant model parameterization method for lithium-ion battery management system
Z Wei, D Zhao, H He, W Cao, G Dong
Applied Energy 268, 114932, 2020
1042020
Kalman filter for onboard state of charge estimation and peak power capability analysis of lithium-ion batteries
G Dong, J Wei, Z Chen
Journal of Power Sources 328, 615-626, 2016
982016
A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries
F Yang, X Song, G Dong, KL Tsui
Energy 171, 1173-1182, 2019
912019
Voltage fault detection for lithium-ion battery pack using local outlier factor
Z Chen, K Xu, J Wei, G Dong
Measurement 146, 544-556, 2019
752019
Next-generation battery management systems: Dynamic reconfiguration
W Han, T Wik, A Kersten, G Dong, C Zou
IEEE Industrial Electronics Magazine 14 (4), 20-31, 2020
722020
Data-driven battery health prognosis using adaptive Brownian motion model
G Dong, F Yang, Z Wei, J Wei, KL Tsui
IEEE Transactions on Industrial Informatics 16 (7), 4736-4746, 2019
712019
System state estimation and optimal energy control framework for multicell lithium-ion battery system
J Wei, G Dong, Z Chen, Y Kang
Applied Energy 187, 37-49, 2017
712017
Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter
G Dong, J Wei, Z Chen, H Sun, X Yu
Journal of Power Sources 364, 316-327, 2017
692017
Data‐driven lithium‐ion battery states estimation using neural networks and particle filtering
C Zhang, Y Zhu, G Dong, J Wei
International Journal of Energy Research 43 (14), 8230-8241, 2019
652019
Data-driven energy management in a home microgrid based on Bayesian optimal algorithm
G Dong, Z Chen
IEEE Transactions on Industrial Informatics 15 (2), 869-877, 2018
652018
Dynamic Bayesian network-based lithium-ion battery health prognosis for electric vehicles
G Dong, W Han, Y Wang
IEEE Transactions on Industrial Electronics 68 (11), 10949-10958, 2020
632020
On-board adaptive model for state of charge estimation of lithium-ion batteries based on Kalman filter with proportional integral-based error adjustment
J Wei, G Dong, Z Chen
Journal of Power Sources 365, 308-319, 2017
452017
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Artiklar 1–20