Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

Microelectronics Reliability

Volumn 53, Issue 6, 2013, Pages 832-839

  Liu, Datong ^a   Pang, Jingyue ^a   Zhou, Jianbao ^a   Peng, Yu ^a   Pecht, Michael ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA-DRIVEN APPROACH; DATA-DRIVEN PROGNOSTICS; EVALUATION AND PREDICTIONS; FUNCTIONAL REGRESSION; GAUSSIAN PROCESS REGRESSION; LITHIUM-ION BATTERY; QUANTITATIVE COMPARISON; UNCERTAINTY REPRESENTATION;

ALGORITHMS; ESTIMATION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LITHIUM BATTERIES; REGRESSION ANALYSIS;

SYSTEMS ENGINEERING;

EID: 84879840208     PISSN: 00262714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.microrel.2013.03.010     Document Type: Article

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