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Xianbin Yang
Xianbin Yang
在 mails.jlu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep-learning model
B Ma, S Yang, L Zhang, W Wang, S Chen, X Yang, H Xie, H Yu, H Wang, ...
Journal of Power Sources 548, 232030, 2022
512022
The dilemma of c-rate and cycle life for lithium-ion batteries under low temperature fast charging
Z Gao, H Xie, X Yang, W Niu, S Li, S Chen
Batteries 8 (11), 234, 2022
312022
State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network
B Ma, HQ Yu, WT Wang, XB Yang, LS Zhang, HC Xie, C Zhang, SY Chen, ...
Rare Metals 42 (3), 885-901, 2023
162023
Lithium-ion battery state of health estimation with multi-feature collaborative analysis and deep learning method
X Yang, B Ma, H Xie, W Wang, B Zou, F Liang, X Hua, X Liu, S Chen
Batteries 9 (2), 120, 2023
152023
Application of deep learning for informatics aided design of electrode materials in metal-ion batteries
B Ma, L Zhang, W Wang, H Yu, X Yang, S Chen, H Wang, X Liu
Green Energy & Environment, 2022
152022
Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model
L Zhang, W Wang, H Yu, Z Zhang, X Yang, F Liang, S Li, S Yang, X Liu
Iscience 25 (12), 2022
132022
Electric vehicle lifecycle carbon emission reduction: A review
Z Gao, H Xie, X Yang, L Zhang, H Yu, W Wang, Y Liu, Y Xu, B Ma, X Liu, ...
Carbon Neutralization 2 (5), 528-550, 2023
112023
Early prediction of the health conditions for battery cathodes assisted by the fusion of feature signal analysis and deep-learning techniques
W Wang, L Zhang, H Yu, X Yang, T Zhang, S Chen, F Liang, H Wang, ...
Batteries 8 (10), 151, 2022
112022
SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction
Z Gao, H Xie, X Yang, W Wang, Y Liu, Y Xu, B Ma, X Liu, S Chen
Journal of Energy Storage 75, 109690, 2024
62024
Early-stage degradation trajectory prediction for lithium-ion batteries: A generalized method across diverse operational conditions
X Yang, H Xie, L Zhang, K Yang, Y Liu, G Chen, B Ma, X Liu, S Chen
Journal of Power Sources 612, 234808, 2024
22024
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