Lithium-ion battery life prognostic health management system using particle filtering framework

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Volumn 225, Issue 1, 2011, Pages 81-90

  Dalal, M ^a   Ma, J ^a   He, D ^a  

^a University of Illinois at Chicago   (United States)

Author keywords

End of discharge; End of life; Lithium ion battery; Particle filtering; Prognostics

Indexed keywords

END-OF-DISCHARGE; END-OF-LIFE; LITHIUM-ION BATTERY; PARTICLE FILTERING; PROGNOSTICS;

CURRENT VOLTAGE CHARACTERISTICS; IONS; LITHIUM; LITHIUM BATTERIES; NONLINEAR FILTERING; OPEN CIRCUIT VOLTAGE;

LITHIUM ALLOYS;

EID: 79953221843     PISSN: 1748006X     EISSN: 17480078     Source Type: Journal    
DOI: 10.1177/1748006XJRR342     Document Type: Conference Paper

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