Design and optimization of an Atkinson cycle engine with the Artificial Neural Network Method

Applied Energy

Volumn 92, Issue , 2012, Pages 492-502

  Zhao, Jinxing ^a   Xu, Min ^a   Li, Mian ^a   Wang, Bin ^a   Liu, Shuangzhai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

ANN; Atkinson cycle; Fuel economy; Hybrid vehicle; LIVC; Optimization

Indexed keywords

COMPRESSION RATIO (MACHINERY); COMPUTER SIMULATION; ELECTRIC VEHICLES; ENGINES; FUELS; INTAKE VALVES; NEURAL NETWORKS; OPTIMIZATION; THERMAL EXPANSION; WANKEL ENGINES;

ANN; ARTIFICIAL NEURAL NETWORK; ATKINSON CYCLE; ATKINSON CYCLE ENGINE; BASELINE ENGINES; DESIGN AND OPTIMIZATION; ENGINE SIMULATION MODELS; ENGINE TEST; EXHAUST TEMPERATURE; EXPANSION RATIO; HYBRID VEHICLES; INTERACTIVE EFFECT; KNOCK INTENSITY; LATE INTAKE VALVE CLOSURES; LIVC; NON-LINEAR MODEL; OPERATING CONDITION; OPERATING PARAMETERS; OTTO-CYCLE ENGINES; POWER DENSITIES; PREDICTION ACCURACY; RESTRICTION CONDITION; SPARK TIMING; THERMAL EFFICIENCY; TORQUE REDUCTION;

FUEL ECONOMY;

ARTIFICIAL NEURAL NETWORK; DESIGN; ELECTRIC VEHICLE; ENGINE; FUEL CONSUMPTION; GEOMETRY; MODEL VALIDATION; NONLINEARITY; OPTIMIZATION; TRADE-OFF;

EID: 84055178471     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.11.060     Document Type: Article

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