Prognostics of lithium-ion batteries based on the verhulst model, particle swarm optimization and particle filter

IEEE Transactions on Instrumentation and Measurement

Volumn 63, Issue 1, 2014, Pages 2-17

  Xian, Weiming ^a   Long, Bing ^a   Li, Min ^a   Wang, Houjun ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Lithium ion batteries; particle filter (PF); particle swarm optimization (PSO); remaining useful life (RUL); Verhulst model

Indexed keywords

ACCEPTABLE PERFORMANCE; DATA-DRIVEN PROGNOSTICS; LITHIUM-ION BATTERY; PARTICLE FILTER; PREDICTION ACCURACY; REMAINING USEFUL LIVES; UPPER AND LOWER BOUNDS; VERHULST MODEL;

LITHIUM BATTERIES; MONTE CARLO METHODS; PARTICLE SWARM OPTIMIZATION (PSO);

FORECASTING;

EID: 84890558107     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2013.2276473     Document Type: Article

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