Fuel economy optimization of an Atkinson cycle engine using genetic algorithm

Applied Energy

Volumn 105, Issue , 2013, Pages 335-348

  Zhao, Jinxing ^a   Xu, Min ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Atkinson cycle engine; Calibration; Fuel economy; Genetic algorithm; Model based optimization; Part load modeling

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; ENGINES; FUEL ECONOMY; INTAKE VALVES; MATLAB; NEURAL NETWORKS; OPTIMIZATION;

ARTIFICIAL NEURAL NETWORK METHODS; ATKINSON CYCLE ENGINE; CONTROL MAPS; CONTROL STRATEGIES; ENGINE CALIBRATION; ENGINE CONTROL UNIT; EXHAUST VALVES; EXPERIMENTAL DATUM; FULL-LOAD; GT-POWER; HIGH LOAD; INITIAL VALUES; INTAKE VALVE CLOSURES; MAXIMAL ERROR; MODEL BASED OPTIMIZATION; OPERATING CONDITION; OPERATING RANGES; OPERATING VARIABLES; OPTIMIZED CONTROL; PART LOAD; PART LOAD CONDITIONS; PHYSICAL MODEL; PREDICTION ACCURACY; SUBMODELS;

GENETIC ALGORITHMS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CALIBRATION; ECONOMIC ANALYSIS; ENGINE; ERROR ANALYSIS; FUEL CONSUMPTION; GENETIC ALGORITHM; HEAT TRANSFER; NUMERICAL MODEL; OPTIMIZATION; SOFTWARE;

EID: 84873558639     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.12.061     Document Type: Article

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