An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 1286-1293

  Huang, Xi ^a   Tan, Ying ^a   He, Xingui ^a  

^a Peking University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARMA MODEL; DRIVING CONDITIONS; DRIVING CYCLE; FUEL COST; HYBRID ELECTRIC VEHICLE; KEY TECHNIQUES; LOW EMISSION; MACHINE LEARNING METHODS; MULTIPLE FEATURES; OPTIMAL CONTROL STRATEGY; REAL TIME; STATISTICAL ANALYSIS; STATISTICAL APPROACH; STATISTICAL FEATURES;

ELECTRIC AUTOMOBILES; EXPERIMENTS; FEATURE EXTRACTION; MINING; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; SECONDARY BATTERIES;

STATISTICAL TESTS;

EID: 70449397977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178645     Document Type: Conference Paper

References (18)

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