Intelligent neural network implementation for SOCI development of Li/CFx batteries

Proceedings - ISRCS 2009 - 2nd International Symposium on Resilient Control Systems

Volumn , Issue , 2009, Pages 57-62

  Linda, Ondrej ^a   William II, Edward James ^a   Huff, Matthew ^a   Manic, Milos ^a   Gupta, Vishu ^a   Nance, Jasper ^a   Hess, Herbert ^a   Rufus, Freeman ^b   Thakker, Ash ^b   Govar, Justin ^c  

^a UNIVERSITY OF IDAHO   (United States)

^b Global Technologies Inc

^c NAVSEA ^*  (United States)

Author keywords

Artificial neural networks; Li CFx batteries; State of charge

Indexed keywords

AMBIENT TEMPERATURES; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; AVERAGE RELATIVE ERROR; BATTERY DESIGN; DATA SETS; ENVIRONMENTAL CONDITIONS; LI/CFX BATTERIES; LITHIUM-ION BATTERY; NON-LINEAR MODEL; NONLINEAR BEHAVIOR; STATE OF CHARGE; WORKING MODELS;

BACKPROPAGATION; DYNAMIC RESPONSE; LEAD ACID BATTERIES; LITHIUM; PROGRAMMABLE LOGIC CONTROLLERS; TEMPERATURE;

NEURAL NETWORKS;

EID: 70449392377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISRCS.2009.5251344     Document Type: Conference Paper

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