A Bayesian framework for on-line degradation assessment and residual life prediction of secondary batteries in spacecraft

Reliability Engineering and System Safety

Volumn 113, Issue 1, 2013, Pages 7-20

  Jin, Guang ^a,b   Matthews, David E ^a   Zhou, Zhongbao ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^c HUNAN UNIVERSITY   (China)

Author keywords

Degradation modeling; Life prediction; Particle filter; Secondary battery; Wiener process

Indexed keywords

DIFFUSION; ITERATIVE METHODS; MONTE CARLO METHODS; RANDOM PROCESSES;

BAYESIAN FRAMEWORKS; CAPACITY DATA; DEGRADATION ASSESSMENT; DEGRADATION MODEL; DEGRADATION MODELING; DEGRADATION STATE; FILTER-BASED; JOINT ESTIMATION; LIFE PREDICTIONS; PARTICLE FILTER; POPULATION MODEL; RANDOM DRIFT; RESIDUAL LIFE PREDICTION; SOURCES OF UNCERTAINTY; STATIC PARAMETERS; STOCHASTIC CORRELATION; TIME UNCERTAINTY; WIENER PROCESS;

SECONDARY BATTERIES;

EID: 84872744828     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2012.12.011     Document Type: Article

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