A power model considering initial battery state for remaining useful life prediction of lithium-ion batteries
Meng, F., Yang, F., Yang, J., & Xie, M, published in Reliability Engineering & System Safety, 2023
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主要工作
A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data
Fei, Z., Zhang, Z., Yang, F., & Tsui, K. L., published in Journal of Energy Storage, 2023
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Data Mining Methods and Applications
Tsui, KL., Chen, V., Jiang, W., Yang, F., Kan, C., published in Springer handbook of engineering statistics, 2023
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Capacity estimation of lithium-ion batteries based on data aggregation and feature fusion via graph neural network
Wang, Z., Yang, F., Xu, Q., Wang, Y., Yan, H., & Xie, M., published in Springer handbook of engineering statistics, 2023
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State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism
Jiang, Y., Chen, Y., Yang, F., & Peng, W., published in Journal of Power Sources, 2023
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State of health prediction of lithium-ion batteries based on autoregression with exogenous variables model
Huang, Z., Xu, F., & Yang, F., published in Energy, 2023
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