共 25 条
[1]
A novel health indicator for on-line lithium-ion batteries remaining useful life prediction.[J].Yapeng Zhou;Miaohua Huang;Yupu Chen;Ye Tao.Journal of Power Sources.2016,
[2]
A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation.[J].Meru A. Patil;Piyush Tagade;Krishnan S. Hariharan;Subramanya M. Kolake;Taewon Song;Taejung Yeo;Seokgwang Doo.Applied Energy.2015,
[3]
Comparison of a particle filter and other state estimation methods for prognostics of lithium-ion batteries.[J].Eric Walker;Sean Rayman;Ralph E. White.Journal of Power Sources.2015,
[4]
Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning.[J].Datong Liu;Jianbao Zhou;Dawei Pan;Yu Peng;Xiyuan Peng.Measurement.2015,
[6]
A generic model-free approach for lithium-ion battery health management.[J].Guangxing Bai;Pingfeng Wang;Chao Hu;Michael Pecht.Applied Energy.2014,
[7]
A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation.[J].Verena Klass;Mårten Behm;Göran Lindbergh.Journal of Power Sources.2014,
[8]
Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model.[J].Dong Wang;Qiang Miao;Michael Pecht.Journal of Power Sources.2013,

