State of health estimation for lithium-ion batteries based on differential thermal voltammetry features and particle swarm optimization-gated recurrent unit.

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Title: State of health estimation for lithium-ion batteries based on differential thermal voltammetry features and particle swarm optimization-gated recurrent unit.
Authors: Han B; School of Rail Transportation, Shandong Jiao Tong University, Jinan, China., Sun X; School of Rail Transportation, Shandong Jiao Tong University, Jinan, China., Wang Y; School of Rail Transportation, Shandong Jiao Tong University, Jinan, China., Song Y; School of Rail Transportation, Shandong Jiao Tong University, Jinan, China., Hou E; School of Rail Transportation, Shandong Jiao Tong University, Jinan, China.; School of Electrical Engineering, Shandong University, Jinan, China., Wang J; Jinan Park Development Service Center, Jinan, China., Xu Y; School of Electrical Engineering, Shandong University, Jinan, China.
Source: PloS one [PLoS One] 2026 Apr 21; Vol. 21 (4), pp. e0342942. Date of Electronic Publication: 2026 Apr 21 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0342942