A novel state of health estimation model for lithium-ion batteries incorporating signal processing and optimized machine learning methods
Crossref DOI link: https://doi.org/10.1007/s11708-024-0969-x
Published Online: 2024-11-14
Published Print: 2025-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Xing
Feng, Juqiang
Cai, Feng
Huang, Kaifeng
Wang, Shunli
Text and Data Mining valid from 2024-11-14
Version of Record valid from 2024-11-14
Article History
Received: 11 July 2024
Accepted: 14 October 2024
First Online: 14 November 2024
Ethics
: Competing Interests The authors declare that they have no competing interests.