Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach-Reference-Cited by-同舟云学术

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Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach

Published:2023-10-25 Issue: Volume: Page:389-394
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Barcellona Simone¹,Cannelli Loris²,Colnago Silvia¹,Laurano Christian¹,Piegari Luigi¹

Affiliation:

1. DEIB Politecnico di Milano,Milan,Italy

2. IDSIA Dalle Molle Institute for Artificial Intelligence SUPSI-USI,Lugano,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405749.pdf?arnumber=10405749

Reference30 articles.

1. Applications of Lithium Batteries

2. An accelerated calendar and cycle life study of Li-ion cells

3. Calendar- and cycle-life studies of advanced technology development program generation 1 lithium-ion batteries

4. Development and performance evaluation of lithium iron phosphate battery with superior rapid charging performance — Second report: Evaluation of battery capacity loss characteristics

5. Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2

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