Sage Journals: Discover world-class research

Abstract

The present paper develops a real-time clutch transition strategy for a parallel hybrid electric vehicle (HEV) in order to achieve quick and smooth clutch transition engagements between pure electrical driving and hybrid driving. Model predictive control (MPC) has been used for this model and tested with different control horizons and weighting factors to verify the ability of MPC to control the vehicle speeds for the clutch engagement. Some modified MPC algorithms with softened constraints and with output regions have been also studied to improve the robustness and the ability of this controller. Comprehensive simulations for the HEV have been conducted in MATLAB and Simulink. Results show that the system can provide real-time optimal control actions subject to input and output constraints for real-time clutch transition engagement with high driving comfort. The system can be implemented in electronic control units and applied for real HEVs.

Keywords

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

Get full access to this article

View all access options for this article.

References

Langari

Won

J. S.

A driving situation awareness-based energy management strategy for parallel hybrid vehicles. In Proceedings of the Future transportation technology conference, Costa Mesa, California, June 2003, vol. 1, pp. 95–102.

Lukic

S.M.

Emadi

Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehicles. IEEE Trans. Veh. Technol., 2004, 53(2), 385–389.

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.

Kim

T. S.

Manzie

Sharma

Model predictive control of velocity and torque split in a parallel hybrid vehicle. In Proceedings of the IEEE International conference on Systems, man, and cybernetics, San Antonio, Texas, October 2009, vol. 13(2), pp. 2014–2019.

Paganelli

Delprat

Guerra

T. M.

Rimaux

Santin

J. J.

Equivalent consumption minimization strategy for parallel hybrid powertrains. In Proceedings of the IEEE Vehicular technology conference, Taipei, Taiwan, May 2002, vol. 4, pp. 2076–2081.

Sciarretta

Back

Guzzella

Optimal control of parallel hybrid electric vehicles. IEEE Trans. Contr. Syst. Technol., 2004, 12(3), 352–363.

Minh

V. T.

Afzulpurkar

A comparative study on computational schemes for nonlinear model predictive control. Asian J. Contr., 2006, 8(4), 324–331.

Minh

V. T.

Afzulpurkar

Robust model predictive control for input saturated and soften state constraints. Asian J. Contr., 2005, 7(3), 323–329.

Karden

Ploumen

Fricke

Miller

Snyder

Energy storage devices for future hybrid electric vehicles. J. Power Sources, 2007, 168, 2–11.

10.

Minh

V. T.

Afzulpurkar

Muhamad

Fault detection and control of process systems. Math. Probl. Engng, 2007, 2007, article ID 80321.

11.

Sciaretta

Guzzella

Control of hybrid electric vehicles. IEEE Contr. Syst. Mag., 2007, 27(2), 60–70.

12.

Ripaccioli

Bernardini

Di Cairano

Bemporad

Kolmanovsky

A stochastic model predictive control approach for series hybrid electric vehicle power management. In Proceedings of the American control conference, Baltimore, Maryland, 2010, vol. 1, 5844–5849.

13.

Desai

Williamson

Comparative study of hybrid electric vehicle control strategies for improved drivetrain efficiency analysis. In Proceedings of the Electrical power & energy conference, Montreal, Quebec, 2009, vol. 1, 1–6.

14.

Minh

V. T.

Awang

Parman

Conditions for stabilizability of linear switched systems

Int. J. Contr. Autom. Syst., 2011, 9(1), 139–144.

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

Abstract

Keywords

Get full access to this article

References