Strategies to minimize the fuel consumption of passenger cars during car-following scenarios

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Volumn 226, Issue 3, 2012, Pages 419-429

  Li, S Eben ^a   Peng, H ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

car following; fuel economy; inertial combustion engine; optimal driving

Indexed keywords

ENGINES; FUELS; POWERTRAINS; VEHICLE TRANSMISSIONS;

BRAKE SPECIFIC FUEL CONSUMPTION; CAR FOLLOWING; COMBUSTION ENGINES; CONTINUOUSLY VARIABLE TRANSMISSION; DRIVING STRATEGY; GAUSS PSEUDO-SPECTRAL METHODS; OPTIMAL DRIVING; UPPER AND LOWER BOUNDS;

FUEL ECONOMY;

EID: 84860227785     PISSN: 09544070     EISSN: None     Source Type: Journal    
DOI: 10.1177/0954407011420214     Document Type: Article

References (23)

1. Kobayashi S., Plotkin S., Ribeiro S.. Energy efficiency technologies for road vehicles. Energy Efficiency. 2009 ; 2: 125-137
2. Barkenbus J.. Eco-driving: an overlooked climate change initiative. Energy Policy. 2010 ; 38: 762-769
3. Marc R.. Automobile fuel consumption and emissions: effects of vehicle and driving characteristics. A. Rev. Energy Environ.. 1994 ; 19: 75-112
4. Evans L.. Driver behavior effects on fuel consumption in urban driving. Proceedings of the Human Factors Society 22nd Annual Meeting ; Detroit, Michigan, USA ;. 438.
5. Van Mierlo J., Maggetto G., Van de Burgwal E., Gense R.. Driving style and traffic measures-influence on vehicle emissions and fuel consumption. Proc. IMechE, Part D: J. Automobile Engineering. 2004 ; 218: 43-50
6. Beusen B., Broekx S., Denys T., Beckx C., Degraeuwe B., Gijsbers M., Scheepers K., Govaerts L., Torfs R., Panis L. I.. Using on-board logging devices to study the longer-term impact of an eco-driving course. Transpn Res. Part D. 2009 ; 14: 514-520
7. Zarkadoula M., Zoidis G., Tritopoulou E.. Training urban bus drivers to promote smart driving: a note on a Greek eco-driving pilot program. Transpn Res. Part D. 2007 ; 12: 449-451 (Pubitemid 47109220)
8. Li S., Li K., Wang J., Zhang L., Lian X., Ukawa H., Bai D.. MPC based vehicular following control considering both fuel economy and tracking capability. Proceedings of the 2008 IEEE Vehicle Power and Propulsion Conference (VPPC '08 ; Harbin, People's Republic of China ;. 1.
9. Manzie C., Watson H., Halgamuge S.. Fuel economy improvements for urban driving: hybrid vs. intelligent vehicles. Transpn Res. Part C. 2007 ; 15: 1-16 (Pubitemid 46432161)
10. LeeJ.NelsonD.Lohse-BuschH.Vehicle inertia impact on fuel consumption of conventional and hybrid electric vehicles using acceleration and coast driving strategy. SAE paper 2009-01-1322, 2009.
11. Chang D., Morlok E.. Vehicle speed profiles to minimize work and fuel consumption. J. Transpn Engng. 2005 ; 131 (3). 173-182 (Pubitemid 40323122)
12. Hooker J.. Optimal driving for single-vehicle fuel economy. Transpn Res. Part A. 1988 ; 22 (3). 183-201 (Pubitemid 18635238)
13. Pfiffner R., Guzzella L., Onder C.. Fuel-optimal control of CVT powertrains. Control Engng Practice. 2003 ; 11 (3). 329-336 (Pubitemid 36440194)
14. Gillespie D. Fundamentals of vehicle dynamics. Warrendale, Pennsylvania: SAE International ; 1992 :
15. Zhou J., Peng H.. Range policy of adaptive cruise control vehicles for improved flow stability and string stability. IEEE Trans. Intell. Transpn Systems. 2005 ; 6 (2). 229-237 (Pubitemid 40925772)
16. Lin C.-C., Peng H., Grizzle J. W., Kang J.-M.. Power management strategy for a parallel hybrid electric truck. IEEE Trans. Control Systems Technol.. 2003 ; 11: 839-849
17. Lee S. Transient dynamics and control of internal combustion engines. Beijing: People's Transportation Press ; 2001:
18. EricsonC.WesterbergB.EgnellR.Transient emission predictions with quasi stationary models. SAE paper 2005-01-3852, 2005.
19. Heywood J. Internal combustion engine fundamentals. New York: McGraw-Hill ; 1989:
20. Rao A. V., Beson D. A., Darby C., Patterson M. A., Francolin C., Sanders I., Huntington G. T.. GPOPS: a MATLAB software for solving multiple-phase optimal control problems using the Gauss pseudospectral method. ACM Trans. Math. Software. 2010 ; 37 (2). 1-39
21. BensonD.A Gauss pseudospectral transcription for optimal control. PhD Thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, 2004.
22. HuntingtonG.Advancement and analysis of a Gauss pseudospectral transcription for optimal control. PhD Thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, 2007.
23. PietzJ.Pseudospectral collocation methods for the direct transcription of optimal control problems. Master's Thesis, Rice University, Houston, Texas, USA, 2003.