Real time energy management strategy for a fast charging electric urban bus powered by hybrid energy storage system

Energy

Volumn 112, Issue , 2016, Pages 322-331

  Yu, Huilong ^a   Tarsitano, Davide ^a   Hu, Xiaosong ^b   Cheli, Federico ^a  

^a POLITECNICO DI MILANO   (Italy)

^b CHONGQING UNIVERSITY   (China)

Author keywords

Energy management strategy; Fuzzy logic controller; Genetic algorithm; Hybrid energy storage system; Model in the loop

Indexed keywords

CHARGING (BATTERIES); COMPUTER CIRCUITS; DYNAMIC PROGRAMMING; ELECTRIC BATTERIES; ENERGY MANAGEMENT; ENERGY STORAGE; ENERGY UTILIZATION; FUNCTION EVALUATION; FUZZY LOGIC; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; REAL TIME SYSTEMS; RECONFIGURABLE HARDWARE; SECONDARY BATTERIES; STORAGE MANAGEMENT;

CONVENTIONAL BATTERIES; ENERGY MANAGEMENT STRATEGIES; FUZZY LOGIC CONTROLLERS; HYBRID ENERGY STORAGE SYSTEMS; MODEL IN THE LOOPS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; REAL-TIME ENERGY MANAGEMENT; TOTAL ENERGY CONSUMPTION;

ENERGY MANAGEMENT SYSTEMS;

COMPUTER SIMULATION; DESIGN; ELECTRIC VEHICLE; ELECTRONIC EQUIPMENT; ENERGY USE; FUZZY MATHEMATICS; GENETIC ALGORITHM; MANAGEMENT PRACTICE; OPTIMIZATION; REAL TIME;

EID: 84976376882     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.06.084     Document Type: Article

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