A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation

Journal of Power Sources

Volumn 270, Issue , 2014, Pages 262-272

  Klass, Verena ^a   Behm, Mårten ^a   Lindbergh, Göran ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Capacity; Electric vehicle; Lithium ion battery; Resistance; State of health; Support vector machine

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; ELECTRIC RESISTANCE; ELECTRIC VEHICLES; ESTIMATION; LITHIUM BATTERIES; SUPPORT VECTOR MACHINES;

CAPACITY; EXPERIMENTAL VALIDATIONS; LABORATORY ENVIRONMENT; LITHIUM-ION BATTERY; STANDARD PERFORMANCE; STATE OF HEALTH; STATE-OF-HEALTH INDICATORS; TEMPERATURE DEPENDENCE;

SECONDARY BATTERIES;

EID: 84905707183     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2014.07.116     Document Type: Article

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