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Yichun Li
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Data-driven state of charge estimation of li-ion batteries using supervised machine learning methods
Y Li, M Maleki, S Banitaan, M Chen
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
92021
Pedestrian group detection with K-means and DBSCAN clustering methods
M Chen, S Banitaan, M Maleki, Y Li
2022 IEEE International Conference on Electro Information Technology (eIT), 1-6, 2022
42022
State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques
Y Li, M Maleki, S Banitaan, M Chen
2022 IEEE International Conference on Electro Information Technology (eIT …, 2022
42022
State of health estimation of lithium-ion batteries using EIS measurement and transfer learning
Y Li, M Maleki, S Banitaan
Journal of Energy Storage 73, 109185, 2023
12023
State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots.
Y Li, M Maleki, S Banitaan, M Chen
ICPRAM, 842-849, 2023
12023
GDSCAN: Pedestrian group detection using dynamic epsilon
M Chen, S Banitaan, M Maleki, Y Li
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
Optimizing the Effect of Battery Relaxation on Eis Measurement for Real-Time SOC Estimation Using Transfer Learning
Y Li, M Maleki, S Banitaan, P Hu, Y Chen, R Liu
Available at SSRN 4734695, 0
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