Predictive driving guidance of full electric vehicles using particle swarm optimization

IEEE Transactions on Vehicular Technology

Volumn 61, Issue 9, 2012, Pages 3909-3919

  Kachroudi, Sofiene ^a   Grossard, Mathieu ^b   Abroug, Neil ^b  

^a Veolia Environnement Recherche et Innovation   (France)

^b INSTITUT DE RADIOPROTECTION ET DE SÛRETÉ NUCLÉAIRE   (France)

Author keywords

Decision support; energy management system (EMS); full electric vehicle (EV); particle swarm optimization (PSO); predictive strategy

Indexed keywords

BATTERY AUTONOMY; COMFORT PERFORMANCE; COMPUTATIONAL ALGORITHM; CONTROLLER AREA NETWORK; DECISION SUPPORTS; DRIVING COMFORT; ENERGY FLOW; ENERGY MANAGEMENT SYSTEM; FULL-ELECTRIC VEHICLE (EV); GLOBAL OPTIMUM; HARDWARE-IN-LOOP; HEATING SYSTEM; INSTANTANEOUS POWER; OBJECTIVE FUNCTIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PREDICTIVE STRATEGY; REGENERATIVE BREAKING; SYSTEM CAPABILITIES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONTROL SYSTEM SYNTHESIS; DECISION SUPPORT SYSTEMS; ELECTRIC VEHICLES; ENERGY MANAGEMENT; MANAGEMENT; SIGNAL PROCESSING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84869479033     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2012.2212735     Document Type: Article

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