Fuel economy optimization of an Atkinson cycle engine using genetic algorithm

• Published in: Applied energy Vol. 105; pp. 335 - 348
• Main Authors: Zhao, Jinxing, Xu, Min
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.05.2013; Elsevier
• Subjects: algorithms; Applied sciences; Atkinson cycle engine; Calibration; combustion; Crude oil, natural gas and petroleum products; Energy; energy use and consumption; Energy. Thermal use of fuels; Engines; Engines and turbines; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Fuel consumption; Fuel economy; Fuels; Genetic algorithm; Genetic algorithms; heat transfer; Mathematical analysis; Mathematical models; Model based optimization; neural networks; Optimization; Part load modeling; Petroleum products, gas and fuels. Motor fuels, lubricants and asphalts; prediction; simulation models; Time measurements; Fuel economy; Model based optimization; Calibration; Atkinson cycle engine; Genetic algorithm; Part load modeling; Fuel; Models; Modeling; Engine; Optimization
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2012.12.061

► A 1-D engine simulation model that covers entire speed–load operating range is built. ► The engine model is carefully calibrated using experimental data. ► Optimization methodology based on the 1-D engine simulation model is proposed. ► Part load operating variables are automatically optimized usi...