Basic tuning of hydrogen powered car and artificial intelligent prediction of hydrogen engine characteristics

International Journal of Hydrogen Energy

Volumn 35, Issue 18, 2010, Pages 10004-10012

  Ho, Tien ^a   Karri, Vishy ^b  

^a UNIVERSITY OF TASMANIA   (Australia)

^b AUSTRALIAN COLLEGE OF KUWAIT   (Kuwait)

Author keywords

Artificial neural networks; Engine characteristics prediction; Hydrogen powered car; Tuning of hydrogen engine

Indexed keywords

AIR TO FUEL RATIOS; ARTIFICIAL INTELLIGENT; ARTIFICIAL NEURAL NETWORK; AUTOMOTIVE APPLICATIONS; CHARACTERISTIC PARAMETER; CONTROL METHODOLOGY; EFFECT OF HYDROGEN; ENGINE OPERATING CONDITIONS; ENGINE SPEED; EXPERIMENTAL DATA; EXPERIMENTAL VALUES; GREEN ENERGY; HYDROGEN ENGINE; HYDROGEN INTERNAL COMBUSTION ENGINES; HYDROGEN POWERED CAR; IGNITION TIMING; IN-BUILDINGS; INJECTION TIMING; NEURAL NETWORK MODEL; OPERATING CONDITION; RENEWABLE ENERGIES; SAFETY SYSTEM; SLOW GROWTH; STORAGE SYSTEMS;

ALTERNATIVE FUELS; AUTOMOBILE ENGINES; AUTOMOBILE PARTS AND EQUIPMENT; ENERGY POLICY; ENGINE CYLINDERS; ENGINES; FORECASTING; FUEL STORAGE; GASOLINE; HYDROGEN; HYDROGEN FUELS; HYDROGEN STORAGE; IGNITION; NEURAL NETWORKS; RENEWABLE ENERGY RESOURCES; TIME MEASUREMENT; TUNING;

HYDROGEN ENGINES;

EID: 77956176482     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2010.03.054     Document Type: Article

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