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Dongxu Guo
Dongxu Guo
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn
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Zitiert von
Jahr
A comparative investigation of aging effects on thermal runaway behavior of lithium-ion batteries
D Ren, H Hsu, R Li, X Feng, D Guo, X Han, L Lu, X He, S Gao, J Hou, Y Li, ...
ETransportation 2, 100034, 2019
3262019
Investigation of lithium plating-stripping process in Li-ion batteries at low temperature using an electrochemical model
D Ren, K Smith, D Guo, X Han, X Feng, L Lu, M Ouyang, J Li
Journal of The Electrochemical Society 165 (10), A2167, 2018
2262018
Impact of battery degradation models on energy management of a grid-connected DC microgrid
S Wang, D Guo, X Han, L Lu, K Sun, W Li, DU Sauer, M Ouyang
Energy 207, 118228, 2020
1112020
A simplification of the time-domain equivalent circuit model for lithium-ion batteries based on low-frequency electrochemical impedance spectra
Y Zheng, Z Shi, D Guo, H Dai, X Han
Journal of Power Sources 489, 229505, 2021
762021
Physics-based fractional-order model with simplified solid phase diffusion of lithium-ion battery
D Guo, G Yang, X Feng, X Han, L Lu, M Ouyang
Journal of Energy Storage 30, 101404, 2020
632020
An accurate parameters extraction method for a novel on-board battery model considering electrochemical properties
Y Zheng, W Gao, X Han, M Ouyang, L Lu, D Guo
Journal of Energy Storage 24, 100745, 2019
552019
Drive circuitry of an electric vehicle enabling rapid heating of the battery pack at low temperatures
Y Li, X Gao, Y Qin, J Du, D Guo, X Feng, L Lu, X Han, M Ouyang
Iscience 24 (1), 2021
462021
Volume deformation of large-format lithium ion batteries under different degradation paths
R Li, D Ren, D Guo, C Xu, X Fan, Z Hou, L Lu, X Feng, X Han, M Ouyang
Journal of The Electrochemical Society 166 (16), A4106, 2019
462019
Realistic fault detection of li-ion battery via dynamical deep learning
J Zhang, Y Wang, B Jiang, H He, S Huang, C Wang, Y Zhang, X Han, ...
Nature Communications 14 (1), 5940, 2023
352023
Determination of the differential capacity of lithium-ion batteries by the deconvolution of electrochemical impedance spectra
D Guo, G Yang, G Zhao, M Yi, X Feng, X Han, L Lu, M Ouyang
Energies 13 (4), 915, 2020
322020
Parameter identification of fractional‐order model with transfer learning for aging lithium‐ion batteries
D Guo, G Yang, X Han, X Feng, L Lu, M Ouyang
International Journal of Energy Research 45 (9), 12825-12837, 2021
192021
Battery health diagnostics: Bridging the gap between academia and industry
Z Wang, D Shi, J Zhao, Z Chu, D Guo, C Eze, X Qu, Y Lian, AF Burke
eTransportation, 100309, 2023
142023
Physics-informed recurrent neural network with fractional-order gradients for state-of-charge estimation of lithium-ion battery
Y Wang, X Han, D Guo, L Lu, Y Chen, M Ouyang
IEEE Journal of Radio Frequency Identification 6, 968-971, 2022
122022
Physics-informed recurrent neural networks with fractional-order constraints for the state estimation of lithium-ion batteries
Y Wang, X Han, D Guo, L Lu, Y Chen, M Ouyang
Batteries 8 (10), 148, 2022
122022
An evaluation method of battery DC resistance consistency caused by temperature variation
Z He, D Guo, X Liu, G Yang
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
122017
Parameter identification method for a fractional-order model of lithium-ion batteries considering electrolyte-phase diffusion
Y Jia, L Dong, G Yang, F Jin, L Lu, D Guo, M Ouyang
Batteries 8 (8), 90, 2022
102022
Detection of lithium plating based on the distribution of relaxation times
M Yi, F Jiang, G Zhao, D Guo, D Ren, L Lu, M Ouyang
2021 IEEE 4th International Electrical and Energy Conference (CIEEC), 1-5, 2021
102021
Parameter Identification Method for Fractional-order Model of Lithium-ion Battery
D Guo, G Yang, X Zhou, L Lu, M Ouyang
2018 IEEE International Power Electronics and Application Conference and …, 2018
52018
Equivalence of time and frequency domain modeling for lithium ion batteries
X Han, D Guo, X Feng, L Lu, M Ouyang
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 1-4, 2021
42021
BP neural network model of Lithium-iron phosphate battery based on step-discharge current response
X Liu, D Guo, Y Chen, H Geng, G Yang, L Lu, M Ouyang
2018 IEEE International Power Electronics and Application Conference and …, 2018
42018
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