An investigation of engine performance parameters and artificial intelligent emission prediction of hydrogen powered car

International Journal of Hydrogen Energy

Volumn 33, Issue 14, 2008, Pages 3837-3846

  Ho, Tien ^a   Karri, Vishy ^a   Lim, Daniel ^a   Barret, Danny ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Artificial neural networks; Emission characteristics; Hydrogen engine operating conditions; Hydrogen internal combustion engine; Hydrogen powered car; Prediction emission

Indexed keywords

AIR POLLUTION; AUTOMOBILE ENGINES; AUTOMOBILE PARTS AND EQUIPMENT; AUTOMOBILES; CLIMATE CHANGE; ENERGY RESOURCES; ENGINE CYLINDERS; ENGINES; FORECASTING; FOSSIL FUEL POWER PLANTS; FOSSIL FUELS; FUELS; GASOLINE; HYDROGEN; LEAKAGE (FLUID); LIQUID FUELS; MACHINE DESIGN; NEURAL NETWORKS; PARAMETER ESTIMATION; PETROLEUM PRODUCTS; PHOTOACOUSTIC EFFECT; SYNTHETIC FUELS;

ARTIFICIAL INTELLIGENT; EFFECT OF HYDROGEN; EMISSION CHARACTERISTICS; EMISSIONS (ASPHALT); ENGINE OPERATING CONDITIONS; ENGINE PERFORMANCES; EXPERIMENTAL SET UPS; EXPERIMENTAL VALUES; FOSSIL FUEL RESOURCES; FUEL USE; HYDROGEN CARS; HYDROGEN ENERGY; INTERNATIONAL ASSOCIATION; NEURAL NETWORK (NN) MODELS; OPERATING PARAMETERS; PROCESS PARAMETERS; TRANSPORTATION FUELS;

ALTERNATIVE FUELS;

EID: 48949115597     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2008.04.037     Document Type: Article

References (18)

1. Karim G.A. Hydrogen as a spark ignition engine fuel. Int J Hydrogen Energy 28 (2003) 569-577
2. Al-Alousi Y. Examination of the combustion processes and performance of a spark ignition engine using a data acquisition system. Mechanical engineering (1982), University of Calgary, Calgary
3. Yamin J.A.A., et al. Effect of combustion duration on the performance and emission characteristics of a spark ignition engine using hydrogen as a fuel. Int J Hydrogen Energy 25 (2000) 581-589
4. AS 2875:1995. Alloy steel cylinders for compressed gases-Seamless-0.1 kg to 500 kg. Standards Australia, 1995.
5. AS 4838:2002. Gas cylinders-high pressure cylinders for the on-board storage of natural gas as a fuel for automotive vehicles. Standards Australia, 2002.
6. AS 2739:2003. Natural gas (CNG) fuel systems for vehicle engines. Standards Australia, 2003.
7. NFPA 52: Vehicular fuel systems code, 2005 ed. Draft. USA: National Fire Protection Agency; 2005.
8. ISO 1550:2002(E) Internal combustion engines-determination and method for the measurement of engine power-general requirements. International Standards Organisation, 2002.
9. Negnevitsky M. Artificial intelligence: a guide to intelligent systems (2001), Addison Wesley, Harlow, Essex
10. Maren A.J., Harsten C.T., and Pap R.M. Handbook of neural computing applications (1990), Academic Press, New York p. 7-9
11. Huang S.H., and Zhang H.C. Artificial neural networks in manufacturing: concepts, applications and perspectives. IEEE Tran Components Packaging Manuf Technol A 17 2 (1994) 212-228
12. Zurada J.M. Introduction to artificial neural systems (1992), West Publishing Company, St. Paul
13. Khanna T. Foundations of neural networks (1990), Addison-Wesley, Massachusetts
14. Rumelhart D.E., and McClelland J.L. Parallel distributed processing: explorations in the microstructure of cognition vol. 1 (1988), The MIT Press, Cambridge
15. Caudill M., and Butler C. Understanding neural networks-computer explorations, vol. 1: basic networks (1992), Institute of Technology, Massachusetts
16. MATLAB neural network toolbox (2001), MATLAB Inc.
17. Lim JSD. Development of a hydrogen car and emissions modelling using artificial intelligence tools. Master of Engineering Science thesis, University of Tasmania, 2007.
18. Danny STB. Study of the performance of a four cylinder hydrogen-fuelled internal combustion engine. Master of Engineering Science thesis, University of Tasmania, 2007.