Machine Learning Methods for the Design of Battery Manufacturing Processes
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47303-6_10
Reference49 articles.
1. A. Kwade, W. Haselrieder, R. Leithoff, A. Modlinger, F. Dietrich, K. Droeder, Current status and challenges for automotive battery production technologies. Nat. Energy 3(4), 290–300 (2018)
2. J. Li, K. Liu, Q. Zhou, J. Meng, Y. Ge, H. Xu, Electrothermal dynamics-conscious many-objective modular design for power-split plug-in hybrid electric vehicles. IEEE/ASME Trans. Mechatron. (2022)
3. K. Liu, Y. Wang, X. Lai, Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization (Springer Nature, 2022)
4. E. Ayerbe, M. Berecibar, S. Clark, A.A. Franco, J. Ruhland, Digitalization of battery manufacturing: current status, challenges, and opportunities. Adv. Energy Mater. 2102696 (2021)
5. K. Liu, X. Hu, H. Zhou, L. Tong, W.D. Widanage, J. Marco, Feature Analyses and Modeling of Lithium-Ion Battery Manufacturing Based on Random Forest Classification. IEEE/ASME Trans. Mechatron. 26(6), 2944–2955 (2021)
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