Neural network-based modeling and optimization for effective vehicle emission testing and engine calibration

Chemical Engineering Communications

Volumn 195, Issue 6, 2008, Pages 706-720

  Zhou, Qiong ^a   Gullitti, Anthony ^a   Xiao, Jie ^a   Huang, Yinlun ^a  

^a Wayne State University   (United States)

Author keywords

Emission reduction; Engine calibration; Neural networks; Optimization; Process modeling

Indexed keywords

CALIBRATION; CATALYTIC CONVERTERS; ENGINES; FUEL ECONOMY; GAS EMISSIONS; NEURAL NETWORKS; OPTIMIZATION;

EMISSION REDUCTION; FUEL EFFICIENCY;

AUTOMOBILE TESTING;

AUTOMOBILE TESTING; CALIBRATION; CATALYTIC CONVERTERS; ENGINES; FUEL ECONOMY; GAS EMISSIONS; NEURAL NETWORKS; OPTIMIZATION;

EID: 39149123181     PISSN: 00986445     EISSN: 15635201     Source Type: Journal    
DOI: 10.1080/00986440701568830     Document Type: Article

References (18)

1. Adomaitis, J. R. and Heck, R. M. (1988) Warrendale, Penn
2. Brandt, E. P., Wang, Y. and Grizzle, J. W. (2000) Dynamic modeling of a three-way catalyst for SI engine exhaust emission control. IEEE Trans. Control Syst. Technol., 8, pp. 767-774.
3. Browne, A. (1997) Neural Network Analysis, Architectures and Applications, Institute of Physics Publishing, Bristol, U.K.
4. Buntine, W. L. and Weigend, A. S. (1991) Bayesian back-propagation. Complex Syst., 5, pp. 877-922.
5. Dayholf, J. (1992) Neural Network Architectures, Van Nostrand Reinhold, New York
6. Falk, C. D. and Mooney, J. J. (1980) Warrendale, Penn
7. Gerard, D. and Lave, L. B. (2005) Implementing technology-forcing policies: The 1970 Clean Air Act amendments and the introduction of advanced automotive emissions controls in the United States. Technol. Forecast. Soc. Change, 72, pp. 761-778.
8. Gullitti, A. J. (1999) Modeling of automotive engine calibration and catalyst efficiency using artificial neural networks, Wayne State University
9. Heywood, J. B. (1988) Internal Combustion Engine Fundamentals, McGraw-Hill, New York
10. Huang, Y. L., Edgar, T. F., Himmelblau, D. M. and Trachtenberg, I. (1994) Constructing a reliable neural network model for a plasma etching process using limited experimental data. IEEE Trans. Semicond. Manuf., 7, pp. 333-344.
11. Kaneki, Y., Kobayashi, H., Komagoma, R., Hirako, O. and Naksyama, O. (1978) Effect of air-fuel ratio modulation on conversion efficiency of three-way catalysts, Warrendale, Penn
12. Lenz, U. and Schroeder, D. (1996) Artificial intelligence for combustion engine control, Warrendale, Penn
13. Mackay, D. J. C. (1992) Bayesian interpolation. Neural Comput., 4, pp. 415-447.
14. Stabell, J. and Hayes, R. (1996) Emissions-monitoring systems: Predictive gaining favor. InTech, 43:7, pp. 54-58.
15. 2 exhaust gas oxygen sensors, Warrendale, Penn
16. Williams, P. M. (1995) Bayesian regularization and pruning using a Laplace prior. Neural Comput., 7, pp. 117-143.
17. Woestman, J. T. and Logothetis, E. M. (1995) Controlling automotive emissions. Ind. Phys., 1, pp. 20-24.
18. Yamada, T., Hayakawa, N., Yoshihide, K. and Kawai, T. (1992) Universal air-fuel ratio heated exhaust gas oxygen sensor and further applications, Warrendale, Penn