Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles

Applied Energy

Volumn 185, Issue , 2017, Pages 1644-1653

  Sun, Chao ^a   Sun, Fengchun ^a   He, Hongwen ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Adaptive ECMS; Fuel economy; Hybrid electric vehicles; Neural network; Velocity forecast

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); ENERGY MANAGEMENT; FORECASTING; FUEL ECONOMY; FUELS; NEURAL NETWORKS; VEHICLES; VELOCITY;

BATTERY STATE OF CHARGE; DRIVING BEHAVIOR; ENERGY MANAGEMENT STRATEGIES; EQUIVALENCE FACTOR; EQUIVALENT CONSUMPTION MINIMIZATION STRATEGIES (ECMS); FUEL CONSUMPTION REDUCTION; HISTORY DATA; HYBRID ELECTRIC VEHICLES (HEVS);

HYBRID VEHICLES;

ARTIFICIAL NEURAL NETWORK; ECONOMIC ANALYSIS; ELECTRIC VEHICLE; ENERGY MARKET; ENERGY PLANNING; FUEL CONSUMPTION; SIMULATION;

EID: 85003875589     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.02.026     Document Type: Article

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