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Technical Paper

Further Validation of Artificial Neural Network-Based Emissions Simulation Models for Conventional and Hybrid Electric Vehicles

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Pages 898-910 | Published online: 27 Feb 2012

References

  • Nine, R.; Clark, N.N.; Norton, P. Effect on Emissions of Multiple Driving Test Schedules Performed on Two Heavy-Duty Vehicles; SAE Paper 2000-01-2818; Society of Automotive Engineers: Warrendale, PA, 2000.
  • Husain, I. Electric and Hybrid Vehicles: Design Fundamentals; CRC Press LLC: Boca Raton, FL, 2003.
  • Society of Automotive Engineers. J1711 Recommended Practice for Measuring the Exhaust Emissions and Fuel Economy of Hybrid Electric Vehicles, Light-Duty Vehicle Performance Measurement Standards Committee; Society of Automotive Engineers: Warrendale, PA, 1999.
  • Clark, N.N.; Xie, W.; Gautam, M.; Lyons, D.W. Hybrid Diesel-Electric Heavy Duty Bus Emissions: Benefits of Regeneration and Need for State of Charge Correction; SAE Paper 2000-01-2955. Society of Automotive Engineers: Warrendale, PA, 2000.
  • Wipke, K.; Cuddy, M.; Bharathan, D.; Burch, S.; Johnson, V.; Markel, T.; Sprik, S. ADVISOR 2.0: A Second-Generation Advanced Vehicle Simulator for Systems Analysis. Presented at the North American EV & Infrastructure Conference and Exposition (NAEVI 98), December 3–4, Phoenix, AZ. Available at www.ctts.nrel.gov/analysis/advisor_doc (accessed 1998).
  • Conley, J.J.; Jarrett, R.J.; Tóth-Nagy, C.; Nennelli, A.; Clark, N.N. Emissions Modeling of Heavy-Duty Conventional and Hybrid Electric Vehicles; SAE Paper 2001-01-3675; Society of Automotive Engineers: Warren-dale, PA, 2001.
  • Clark, N.N.; Gautam, M.; Bata, R.M.; Loth, J.L.; Palmer, G.M.; Wang, W.G.; Lyons, D.W. Design and Operation of a New Transportable Laboratory for Emissions Testing of Heavy Duty Trucks and Buses; Int. J. Vehicle Design 1995, 2, 285-299.
  • Office of the Federal Register National Archives and Records. Code of Federal Regulations: Protection of Environment; 40 CFR 86.1, Subpart N; U.S. Government Printing Office: Washington, DC, 1996.
  • McKain, D.L.; Clark, N.N.; Balon, T.H.; Moynihan, P.J.; Lynch, S.A.; Webb, T.C. Characterization of Emissions from Hybrid-Electric and Conventional Transit Buses; SAE paper 2000-01-2011; Society of Automotive Engineers: Warrendale, PA, 2000.
  • Northeast Advanced Vehicle Consortium. Proceedings of the Heavy Duty Hybrid Bus Certification Work Group; Submitted to Defense Advanced Research Projects Agency, Agreement No. NAVC10998-PG009837; Northeast Advanced Vehicle Consortium: Boston, MA, 2000.
  • McKain, D.L.; Clark, N.N.; Balon, T.H.; Moynihan, P.J.; Lynch, S.A.; Webb, T.C. Characterization of Emissions from Hybrid and Conventional Transit Buses, SAE Transactions; J. Fuels Lubricants, 2000, 109, 1951-1957.
  • Daley, J.J. Master’s Thesis, Development of a Heavy-Duty Vehicle Chassis Dynamometer Test Route; Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, 1998. Available at http://etd.wvu.edu/templates/showETD.cfm?recnum=251 (accessed 1999).
  • Clark, N.N.; Daley, J.J.; Nine, R.D.; Atkinson, C.M. Application of the New City-Suburban Heavy Vehicle Route (CSHVR) to Truck Emissions Characterization; SAE Paper 1999-01-1467; Society of Automotive Engineers: Warrendale, PA, 2000.
  • Wayne, W.S.; Snyder, J.M.; Pertl, F.A.; Atkinson, R.J.; Clark, N.N.; Gautam, M.; Lyons, D.W. Research Approach for Aging and Evaluating Diesel Lean-NOx Catalysts; SAE Paper 2001-01-3620; Society of Automotive Engineers: Warrendale, PA, 2001.
  • Thompson, G.J.; Atkinson, C.M.; Clark, N.N.; Long, T.W.; Hanzevack, E.L. Neural Network Modelling of the Emissions and Performance of a Heavy-Duty Diesel Engine. In Proceedings of the Institution of Mechanical Engineers. V. 214 Part D, London, U.K., 2000; pp 111-126.
  • Levenspiel, O. Chemical Reaction Engineering, 2nd ed.; Wiley J. and Sons; New York, NY, 1972; pp 253-308.
  • Jarrett, R.J. Master’s Thesis, Evaluation of Opacity, Particulate Matter, and Carbon Monoxide from Heavy-Duty Diesel Transient Chassis Tests; Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, 2000.
  • Ramamurthy, R.; Clark, N.N.; Atkinson, C.M.; Lyons, D.W. Models for Predicting Transient Heavy Duty Vehicle Emissions; SAE Paper 982652; Society of Automotive Engineers: Warrendale, PA, 1998.
  • Ramamurthy, R.; Clark, N.N. Atmospheric Emissions Inventory Data for Heavy-Duty Vehicles; Environ. Sci. Technol. 1999, 33, 55-62.
  • McKain, D.L.; Clark, N.N. Speed and Power Regressions for Quality Control of Heavy Duty Vehicle Chassis Dynamometer Research; SAE Paper 1999-01-0614; Society of Automotive Engineers: Warrendale, PA, 1999.
  • Widrow, B.; Winter, R. Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition; IEEE Computer Magazine 1988, 21, 25-39.
  • Ouenou, S.; Ouladsine, M.; Rachid, A. Diesel Engine Exhaust Emissions Modelling Using Artificial Neural Networks; SAE Paper 1999-01-1163; Society of Automotive Engineers: Warrendale, PA, 1999.
  • Grimaldi, C.N.; Mariani, F. OBD Engine Fault Detection Using a Neural Approach; SAE Paper 2001-01-0559; Society of Automotive Engineers: Warrendale, PA, 2001.
  • Gang, X.; Jianwu, Z.; Li, C. Online State Prediction of Engines Based on Fast Neural Network; SAE Paper 2001-01-0562; Society of Automotive Engineers: Warrendale, PA, 2001.
  • Atkinson, C.M.; Long, T.W.; Hanzevack, E.L. Virtual Sensing: A Neural Network-Based Intelligent Performance and Emissions Prediction System for On-Board Diagnostics and Engine Control, SAE Paper 980516; Society of Automotive Engineers: Warrendale, PA, 1998.
  • Arsie, I.; Marotta, F.; Pianese, C.; Rizzo, G. Information Based Selection of Neural Networks Training Data for S.I. Engine Mapping; SAE Paper 2001-01-0561; Society of Automotive Engineers: Warrendale, PA, 2001.
  • Ayeb, M.; Lichtenthäler, D.; Winsel, T.; Theueerkauf, H.J. SI Engine Modeling Using Neural Networks; SAE Paper 980790; Society of Automotive Engineers: Warrendale, PA, 1998.
  • Tehranian, A. Master’s Thesis, Effects of Artificial Neural Networks Char-acterisation on Prediction of Diesel Engine Emissions; Department of Mechanical and Aerospace Engineering, West Virginia University, 2003; Available at http://etd.wvu.edu/templates/showETD.cfm?recnum=2956 (accessed 2003).
  • Nine, R.D.; Clark, N.N.; Daley, J.J.; Atkinson, C.M. Development of a Heavy Duty Chassis Driving Route; Proc. Inst. Mech. Engrs. Part D.; J. Auto. Eng. 1999, 213, 561-574.
  • Clark, N.N.; Xie, W.; Gautam, M.; Lyons, D.; Norton, P.; Balon, T. Hybrid Diesel-Electric Heavy Duty Bus Emissions: Benefits of Regeneration and Need for State of Charge Correction; SAE Paper 2000-01-2955; Society of Automotive Engineers: Warrendale, PA, 2000.
  • Clark, N. N.; Conley, J. J.; Jarrett, R.; Nennelli, A.; Tóth-Nagy, C. Emissions Modeling of Heavy-Duty Conventional and Hybrid Electric Vehicles, Final Report on Emissions Modeling of Heavy-Duty Hybrid Vehicles; Agreement No. NAVC1098-PG009837; West Viriginia University: Morgantown, WV, 2001.
  • Azu, A. A Comparison of Operating Envelopes of Diesel Fueled Trucks and Hybrid Electric Buses to the Federal Testing Procedure Cycle, Master’s thesis; Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, 2001.
  • Messer, J.T.; Clark, N.N.; Lyons, D.W. Measurement Delays and Modal Analysis For a Heavy Duty Transportable Laboratory; SAE Paper 950218; Society of Automotive Engineers: Warrendale, PA, 1995.

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