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Zihui Lin
Zihui Lin
Email verificata su student.must.edu.mo
Titolo
Citata da
Citata da
Anno
Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review
Y Zou, Z Lin, D Li, ZC Liu
Journal of Energy Storage 73, 109069, 2023
442023
Energy efficiency of lithium-ion batteries: Influential factors and long-term degradation
Z Lin, D Li, Y Zou
Journal of Energy Storage 74, 109386, 2023
422023
Multi-feature fatigue driving detection based on computer vision
J Huang, Z Lin
Journal of Physics: Conference Series 1651 (1), 012188, 2020
72020
Survey on task-centric robot battery management: A neural network framework
Z Lin, Z Huang, S Yang, C Wu, S Fang, Z Liu, M Yang, Z Xie, D Li, Y Zou
Journal of Power Sources 610, 234674, 2024
32024
Modeling and Analysis on Efficiency Degradation of Lithium-ion Batteries
Z Lin, D Li
arXiv preprint arXiv:2303.09456, 2023
2023
Long-Term Energy Efficiency Prediction for Lithium-Ion Batteries Through Multi-Feature Fusion and Deep Learning
Z Lin, D Li, Z Liu, Y Zou
Available at SSRN 5085746, 0
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