|
Volumn , Issue , 2008, Pages 753-757
|
Control strategy of hybrid power system for Fuel Cell Electric Vehicle based on neural network optimization
|
Author keywords
Energy management strategy; Fuel Cell Electric Vehicle; Genetic algorithms; Hybrid power system; Neural network optimization
|
Indexed keywords
COMBINATORIAL OPTIMIZATION PROBLEMS;
CONTROL STRATEGIES;
DC/DC CONVERTERS;
ECONOMY PERFORMANCES;
ENERGY MANAGEMENT STRATEGIES;
ENERGY MANAGEMENT STRATEGY;
FUEL CELL ELECTRIC VEHICLE;
FUEL CELL ELECTRIC VEHICLES;
FUZZY CONTROL STRATEGIES;
HIGH EFFICIENCIES;
HYBRID POWER SYSTEM;
HYBRID POWER SYSTEMS;
NEURAL NETWORK OPTIMIZATION;
NEURAL NETWORK OPTIMIZATIONS;
POWER FLOWS;
POWER SYSTEMS;
SIMULATION RESULTS;
ALGORITHMS;
AUTOMOBILES;
CELLS;
COMBINATORIAL MATHEMATICS;
COMBINATORIAL OPTIMIZATION;
CONTROL THEORY;
CYTOLOGY;
DIESEL ENGINES;
ELECTRIC AUTOMOBILES;
ELECTRIC BATTERIES;
ELECTRIC POWER MEASUREMENT;
ELECTRIC POWER SYSTEMS;
ELECTRIC POWER TRANSMISSION NETWORKS;
ELECTRIC VEHICLES;
ELECTROCHEMISTRY;
ENERGY MANAGEMENT;
FUEL CELLS;
FUELS;
FUZZY CONTROL;
GENETIC ALGORITHMS;
GENETIC ENGINEERING;
IMAGE CLASSIFICATION;
LEAKAGE (FLUID);
NEURAL NETWORKS;
OPTIMIZATION;
POWER TRANSMISSION;
SOLID OXIDE FUEL CELLS (SOFC);
STRUCTURAL OPTIMIZATION;
VEHICLES;
ELECTRIC NETWORK ANALYSIS;
|
EID: 56449102353
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICAL.2008.4636250 Document Type: Conference Paper |
Times cited : (24)
|
References (8)
|