Article,
State of Health Estimation for Lithium-Ion Battery Based on Sample Transfer Learning under Current Pulse Test
Contributors
Li, Yuanyuan
0000-0002-0973-2481
[1]
Huang, Xinrong
0000-0001-7291-2613
[2]
Meng, Jin-Hao
0000-0003-3490-5089
[3]
Shi, Kaibo
0000-0002-9863-9229
(Corresponding author)
[4]
Teodorescu, Remus
0000-0002-2617-7168
[5]
Stroe, Daniel-Ioan
0000-0002-2938-8921
[5]
Affiliations
- [1] Southwest Minzu Univ, Coll Elect Engn, Elect Informat Engn Key Lab Elect Informat, State Ethn Affairs Commiss, Chengdu 610041, Peoples R China [NORA names: China; Asia, East];
- [2] Changan Univ, Sch Energy & Elect Engn, Xian 710064, Peoples R China [NORA names: China; Asia, East];
- [3] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China [NORA names: China; Asia, East];
- [4] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 610106, Peoples R China [NORA names: China; Asia, East];
- [5] AALBORG Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]
Abstract
Abstract not displayed. As this article is not marked as Open Access, it is unclear if we are allowed to show the abstract. Please use the link in the sidebar to view the data provider version of the article including abstract.
Keywords
aging feature,
current pulse test,
lithium-ion battery,
state of health,
transfer learning
