Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization

Author:

Xu Liqianyun,Wu Feng,Chen Renjie,Li Li

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference256 articles.

1. Machine learning in energy storage materials;Shen;J. Alloys Compd.,2022

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3. Prospects for managing end-of-life lithium-ion batteries: present and future;Wang;J. Alloys Compd.,2022

4. Progress, key issues, and future prospects for Li-ion battery recycling;Wu;Glob. Chall.,2022

5. Understanding the mesoscale degradation in nickel-rich cathode materials through machine-Learning-revealed strain-redox decoupling;Qian;ACS Energy Lett.,2021

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