Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network
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- Guangzai Ye & Li Feng & Jianlan Guo & Yuqiang Chen, 2024. "IIP-Mixer: Intra–Inter-Patch Mixing Architecture for Battery Remaining Useful Life Prediction," Energies, MDPI, vol. 17(14), pages 1-15, July.
- Huang, Yaodi & Zhang, Pengcheng & Lu, Jiahuan & Xiong, Rui & Cai, Zhongmin, 2024. "A transferable long-term lithium-ion battery aging trajectory prediction model considering internal resistance and capacity regeneration phenomenon," Applied Energy, Elsevier, vol. 360(C).
- Umar Saleem & Wenjie Liu & Saleem Riaz & Weilin Li & Ghulam Amjad Hussain & Zeeshan Rashid & Zeeshan Ahmad Arfeen, 2024. "TransRUL: A Transformer-Based Multihead Attention Model for Enhanced Prediction of Battery Remaining Useful Life," Energies, MDPI, vol. 17(16), pages 1-24, August.
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Keywords
Li-ion battery; remaining useful life; transformer; residual learning;All these keywords.
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