Support vector machines used to estimate the battery state of charge

IEEE Transactions on Power Electronics

Volumn 28, Issue 12, 2013, Pages 5919-5926

  Alvarez Anton, Juan Carlos ^a   Garcia Nieto, Paulino Jose ^a   Blanco Viejo, Cecilio ^a   Vilan Vilan, Jose Antonio ^b  

^a UNIVERSITY OF OVIEDO   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

Author keywords

Lithium batteries; modeling; state of charge (SOC); support vector machines (SVMs); support vector regression (SVR)

Indexed keywords

ACCURATE MEASUREMENT; BATTERY STATE OF CHARGE; CHARGING/DISCHARGING; INDEPENDENT VARIABLES; STATE OF CHARGE; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR REGRESSION (SVR);

ELECTRIC VEHICLES; ESTIMATION; LEAD ACID BATTERIES; LITHIUM BATTERIES; MODELS;

SUPPORT VECTOR MACHINES;

EID: 84879110729     PISSN: 08858993     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPEL.2013.2243918     Document Type: Article

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