A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

Applied Energy

Volumn 92, Issue , 2012, Pages 694-704

  Hu, Chao ^a   Youn, Byeng D ^b   Chung, Jaesik ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b Seoul National University   (South Korea)

^c PCTEST Engineering Laboratory   (United States)

Author keywords

Lithium ion battery; Multiscale framework; State of charge (SOC); State of health (SOH); Time scale separation

Indexed keywords

CELLS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ELECTRIC VEHICLES; EXTENDED KALMAN FILTERS; IONS; LEAD ACID BATTERIES; LITHIUM; LITHIUM ALLOYS; LITHIUM BATTERIES; SEPARATION; TIME VARYING SYSTEMS;

LITHIUM-ION BATTERY; MULTISCALE FRAMEWORK; STATE OF CHARGE (SOC); STATE OF HEALTH; TIME SCALE SEPARATION;

ESTIMATION;

ACCURACY ASSESSMENT; ELECTRICAL POWER; KALMAN FILTER; LITHIUM; TIMESCALE;

EID: 84855292180     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.08.002     Document Type: Article

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