Frequency-domain attention mixture of expert models for remaining useful life prediction of lithium-ion batteries
Author:
Funder
Shanxi Scholarship Council of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03488-4.pdf
Reference31 articles.
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3. Hu, W., Zhao, S.: Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network. Front. Energy Res. 10, 969168 (2022). https://doi.org/10.3389/fenrg.2022.969168
4. Ahwiadi, M., Wang, W.: An enhanced mutated particle filter technique for system state estimation and battery life prediction. IEEE Trans. Instrum. Meas. 68(3), 923 (2019). https://doi.org/10.1109/tim.2018.2853900
5. Li, J., et al.: New method for parameter estimation of an electrochemical-thermal coupling model for LiCoO2 battery. J. Power. Sources 307, 220 (2016). https://doi.org/10.1016/j.jpowsour.2015.12.058
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