Real-time energy management and sensitivity study for hybrid electric vehicles

Proceedings of the American Control Conference

Volumn , Issue , 2011, Pages 2113-2118

  Fu, Lina ^a   Özguner, Ümit ^b   Tulpule, Pinak ^b   Marano, Vincenzo ^b  

^a The Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY MANAGEMENT; ENERGY UTILIZATION; FORECASTING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MATLAB; MODEL PREDICTIVE CONTROL; REAL TIME CONTROL;

COMPUTATION COMPLEXITY; HYBRID ELECTRICAL VEHICLE; INTELLIGENT TRANSPORTATION SYSTEMS; PROFILE PREDICTION; REAL TIME CONTROLLERS; REAL-TIME ENERGY MANAGEMENT; REAL-TIME IMPLEMENTATIONS; SENSITIVITY STUDIES;

HYBRID VEHICLES;

EID: 80053151516     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2011.5991374     Document Type: Conference Paper

References (12)

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