A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries-Reference-Cited by-同舟云学术

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A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries

Published:2022-05 Issue: Volume:68 Page:548-555
ISSN:2095-4956
Container-title:Journal of Energy Chemistry
language:en
Short-container-title:Journal of Energy Chemistry

Author:

Liu Xinyan,Zhang Xue-Qiang,Chen Xiang^ORCID,Zhu Gao-Long,Yan Chong,Huang Jia-Qi,Peng Hong-Jie^ORCID

Funder

Beijing Municipal Natural Science Foundation

University of Electronic Science and Technology of China

National Key Research and Development Program of China

National Natural Science Foundation of China

Tsinghua University

Publisher

Elsevier BV

Subject

Electrochemistry,Energy (miscellaneous),Energy Engineering and Power Technology,Fuel Technology

Reference55 articles.

1. A reflection on lithium-ion battery cathode chemistry

2. A review of rechargeable batteries for portable electronic devices

3. Performance and cost of materials for lithium-based rechargeable automotive batteries

4. Toward Safe Lithium Metal Anode in Rechargeable Batteries: A Review

5. Reviving the lithium metal anode for high-energy batteries

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