Genetic parameter identification of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4 battery

Proceedings of the American Control Conference

Volumn , Issue , 2011, Pages 362-369

  Forman, Joel C ^a   Moura, Scott J ^a   Stein, Jeffrey L ^a   Fathy, Hosam K ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT DATA; DRIVE CYCLES; EQUILIBRIUM POTENTIALS; EXPERIMENTAL DATA; GENETIC PARAMETERS; HIGH POWER APPLICATIONS; IDENTIFICATION OF THE PARAMETERS; LIFEPO; LITHIUM IRON PHOSPHATES; LITHIUM-ION BATTERY; LOCAL PARAMETERS; MODEL FIT; MODEL IDENTIFICATION; MODEL PARAMETERS; PARAMETERIZATIONS; PLUG-IN HYBRID ELECTRIC VEHICLE; PLUG-IN HYBRID VEHICLES; SOLUTION CONDUCTIVITY; VALIDATION DATA;

CATHODES; ELECTRIC VEHICLES; ELECTROCHEMISTRY; GENETIC ALGORITHMS; IRON COMPOUNDS; LITHIUM; OPTIMIZATION; PARAMETER ESTIMATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 80053161005     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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