Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 226, Issue 2, 2012, Pages 188-203

  Minh, V T ^a   Mohd Hashim, F B ^a   Awang, M ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

hybrid electric vehicle; model predictive control; real time clutch transition strategy

Indexed keywords

CONTROL HORIZON; DRIVING COMFORT; ELECTRICAL DRIVING; ELECTRONIC CONTROL UNITS; INPUT AND OUTPUT CONSTRAINTS; MATLAB AND SIMULINK; OPTIMAL CONTROLS; PARALLEL HYBRID ELECTRIC VEHICLES; REAL-TIME CLUTCH TRANSITION STRATEGY; VEHICLE SPEED; WEIGHTING FACTORS; CLUTCH ENGAGEMENTS; REAL TIME; REAL TIME OPTIMAL CONTROL;

CLUTCHES; MATLAB; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; SECONDARY BATTERIES; ELECTRIC MACHINE CONTROL; VEHICLES;

HYBRID VEHICLES;

EID: 84860234465     PISSN: 09596518     EISSN: 20413041     Source Type: Journal    
DOI: 10.1177/0959651811414760     Document Type: Article

References (14)

1. Langari R., Won J. S. A driving situation awareness-based energy management strategy for parallel hybrid vehicles. Proceedings of the Future transportation technology conference ; Costa Mesa, California ;. 95.
2. Lukic S.M., Emadi A. Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehicles. IEEE Trans. Veh. Technol. 2004 ; 53 (2). 385-389
3. Schouten N. J., Salman M. A., Kheir N. A. Fuzzy logic control for parallel hybrid vehicles. IEEE Trans. Contr. Syst. Technol. 2002 ; 10 (3). 460-468 (Pubitemid 34630820)
4. Kim T. S., Manzie C., Sharma R. Model predictive control of velocity and torque split in a parallel hybrid vehicle. Proceedings of the IEEE International conference on Systems, man, and cybernetics ; San Antonio, Texas ;. 2014.
5. Paganelli G., Delprat S., Guerra T. M., Rimaux J., Santin J. J. Equivalent consumption minimization strategy for parallel hybrid powertrains. Proceedings of the IEEE Vehicular technology conference ; Taipei, Taiwan, May ;. 2076.
6. Sciarretta A., Back M., Guzzella L. Optimal control of parallel hybrid electric vehicles. IEEE Trans. Contr. Syst. Technol. 2004 ; 12 (3). 352-363
7. Minh V. T., Afzulpurkar N. A comparative study on computational schemes for nonlinear model predictive control. Asian J. Contr. 2006 ; 8 (4). 324-331 (Pubitemid 46342874)
8. Minh V. T., Afzulpurkar N. Robust model predictive control for input saturated and soften state constraints. Asian J. Contr. 2005 ; 7 (3). 323-329
9. Karden E., Ploumen S., Fricke B., Miller T., Snyder K. Energy storage devices for future hybrid electric vehicles. J. Power Sources. 2007 ; 168: 2-11 (Pubitemid 46636128)
10. Minh V. T., Afzulpurkar N., Muhamad W. Fault detection and control of process systems. Math. Probl. Engng. 2007 2007 ;:
11. Sciaretta A., Guzzella L. Control of hybrid electric vehicles. IEEE Contr. Syst. Mag. 2007 ; 27 (2). 60-70 (Pubitemid 46562978)
12. Ripaccioli G., Bernardini D., Di Cairano S., Bemporad A., Kolmanovsky V. A stochastic model predictive control approach for series hybrid electric vehicle power management. Proceedings of the American control conference ; Baltimore, Maryland ;. 5844.
13. Desai C., Williamson S. Comparative study of hybrid electric vehicle control strategies for improved drivetrain efficiency analysis. Proceedings of the Electrical power & energy conference ; Montreal, Quebec ;. 1.
14. Minh V. T., Awang M., Parman S. Conditions for stabilizability of linear switched systems. Int. J. Contr. Autom. Syst. 2011 ; 9 (1). 139-144