Intelligent energy management based on the driving cycle sensitivity identification using SVM

ISCID 2009 - 2009 International Symposium on Computational Intelligence and Design

Volumn 2, Issue , 2009, Pages 513-516

  Liang, Zhang ^a   Xin, Zhang ^a   Yi, Tian ^a   Xinn, Zhang ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Control strategy; Driving cycle sensitivity; Genetic; Support vector machine

Indexed keywords

CONTROL STRATEGIES; DRIVING CYCLE; DRIVING CYCLE SENSITIVITY; DRIVING ENVIRONMENT; ESSENTIAL ELEMENTS; HYBRID ELECTRIC VEHICLE; IN-CONTROL; INTELLIGENT ENERGY MANAGEMENT; INTELLIGENT MANAGEMENT; ON-ROAD DRIVING; SENSITIVITY PARAMETERS;

ARTIFICIAL INTELLIGENCE; AUTOMOBILE DRIVERS; AUTOMOBILES; ELECTRIC VEHICLES; ENERGY MANAGEMENT; FUEL ECONOMY; IMAGE RETRIEVAL; SECONDARY BATTERIES; SUPPORT VECTOR MACHINES;

GENETIC ENGINEERING;

EID: 77649325911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCID.2009.274     Document Type: Conference Paper

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