A quantitative identification method for composite aging states in lithium-ion batteries based on non-negative matrix factorization

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Long Xiao, Ling Fu, Tianjing Wang, Di Xie, Liangliang Wang
DOI: 10.2139/ssrn.6213837
Cited by: 0
References: 16

Fields of Study & Subjects

Advanced Battery Technologies Research Advancements in Battery Materials Reliability and Maintenance Optimization

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint