An integrated probabilistic approach to lithium-ion battery remaining useful life estimation

IEEE Transactions on Instrumentation and Measurement

Volumn 64, Issue 3, 2015, Pages 660-670

  Liu, Datong ^a   Xie, Wei ^b   Liao, Haitao ^b   Peng, Yu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b University of Arizona   (United States)

Author keywords

Ensemble learning (EL); lithium ion battery; maximum likelihood estimation (MLE); prognostic uncertainty; remaining useful life (RUL)

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CONDITION MONITORING; ELECTRIC BATTERIES; INFORMATION MANAGEMENT; IONS; LITHIUM; LITHIUM ALLOYS; LITHIUM-ION BATTERIES; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION;

COMPUTATIONAL STABILITY; DATA-DRIVEN PROGNOSTICS; ENSEMBLE LEARNING; PREDICTIVE CAPABILITIES; PROBABILISTIC APPROACHES; PROBABILISTIC INTEGRATION; PROGNOSTIC UNCERTAINTY; REMAINING USEFUL LIVES;

LITHIUM BATTERIES;

EID: 85027951825     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2014.2348613     Document Type: Article

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