Internal short circuit detection in Li-ion batteries using supervised machine learning

With the proliferation of Li-ion batteries in smart phones, safety is the main concern and an on-line detection of battery faults is much wanting. Internal short circuit is a very critical issue that is often ascribed to be a cause of many accidents involving Li-ion batteries. A novel method that ca...

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Detalles Bibliográficos
Autores principales: Naha, Arunava, Khandelwal, Ashish, Agarwal, Samarth, Tagade, Piyush, Hariharan, Krishnan S., Kaushik, Anshul, Yadu, Ankit, Kolake, Subramanya Mayya, Han, Seongho, Oh, Bookeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987180/
https://www.ncbi.nlm.nih.gov/pubmed/31992751
http://dx.doi.org/10.1038/s41598-020-58021-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987180/
https://www.ncbi.nlm.nih.gov/pubmed/31992751
http://dx.doi.org/10.1038/s41598-020-58021-7

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