Energy recovery for battery electric vehicles

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

Volumn 222, Issue 10, 2008, Pages 1827-1839

  Ye, M ^a   Bai, Z F ^a   Cao, B G ^a  

^a CHANG'AN UNIVERSITY   (China)

Author keywords

Battery electric vehicle; Energy recovery; Mathematical model; Robust hybrid control

Indexed keywords

AUTOMOTIVE BATTERIES; BRAKING PERFORMANCE; KINETIC ENERGY; KINETICS; MATHEMATICAL MODELS; RECOVERY; ROBUST CONTROL; TWO TERM CONTROL SYSTEMS;

DYNAMIC PERFORMANCE; ENERGY RECOVERY; ENERGY RECOVERY SYSTEM; H2 OPTIMAL CONTROL; HYBRID CONTROLLER; HYBRID CONTROLS; PROPORTIONAL INTEGRAL; ROBUST STABILITY;

BATTERY ELECTRIC VEHICLES;

EID: 55749088044     PISSN: 09544070     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544070JAUTO691     Document Type: Article

References (27)

1. Chan, C. C. The state of the art of the electric and hybrid vehicles. Proc. IEEE, 2002, 90(2), 247-275.
2. Cao, B. G., Zhang, C. W., and Bai, Z. F. Trend of development of technology for electric vehicles (in Chinese). J. Xi'an Jiaotong Univ., 2004, 38(1), 1-5.
3. Chicurel, R. A compromise solution for energy recovery in vehicle braking. Energy, 1999, 24, 1029-1034.
4. Martini, S. The MAN hydrobus: a drive concept with hydrostatic brake energy recovery. In Proceedings of the International Symposium on Advanced and hybrid vehicles, University of Strathclyde, UK, 1984, vol. 2, pp. 27-34 (University of Strathclyde, Glasgow).
5. Vint, M. K. Design and construction of a fuel efficient braking system. SAE paper 871233, 1987.
6. Pourmovahed, A., Beachley, N. H., and Fronczak, F. J. Analytical and experimental modeling of a hydraulic energy regeneration system. In Proceedings of the 1990 ASME Winter Annual Meeting, Dallas, Texas, USA, 1990, paper 90-WA/FPST-13 (America Society of Mechanical Engineers, New York).
7. Panagiotidis, M., Delagrammatikas, G., and Assanis, D. Development and use of a regenerative braking model for a parallel hybrid electric vehicle. In Proceedings of the SAE 2000 World Congress, Detroit, Michigan, USA, 2000, SAE paper 2000-01-0995 (SAE International, Philadelphia, Pennsylvania).
8. Cikanek, S. R. and Bailey, K. E. Regenerative braking system for a hybrid electric vehicle. In Proceedings of the American Control Conference, Anchorage, Alaska, USA, 8-10 May 2002, pp. 3129-3134 (IEEE, New York).
9. Mi, G., Lin, H., and Zhang, Y. Iterative learning control of antilock braking of electric and hybrid vehicles. IEEE Trans. Vehicular Technol., 2005, 54(2), 486-494.
10. Paterson, J. and Ramsay, M. Electric vehicle braking by fuzzy logic control. In Proceedings of the IEEE Industry Applications Society Annual Meeting (IASAM'93), Orlando, Florida, USA, 1993, pp. 2200-2204 (IEEE, New York).
11. Gao, H. W., Gao, Y. M., and Ehsani, M. A neural network-based SRM drive control strategy for regenerative braking in EV and HEV. In Proceedings of the IEEE International Electric Machines and Drives Conference (IEMDC'01), Cambridge, Massachusetts, USA, 2001, pp. 571-575 (IEEE, New York).
12. Wicks, F., Donnelly, K., and Hall, S. Modelling regenerative braking and storage for vehicles. In Proceedings of the IEEE International Energy Conversion Engineering Conference (IECEC'97) Honolulu, Hawaii, USA, 1997, pp. 2030-2035 (IEEE, New York).
13. Rahman, K. M., Fahimi, B., Suresh, G., Rajarathnam, A. V., and Ehsani, M. Advantage of switched reluctance motor applications to EV and HEV: design and control issues. IEEE Trans. Industry Applic., 2000, 36(1), 111-121.
14. Yeo, H. and Kim, H. Hardware in the loop simulation of regenerative braking for a hybrid electric vehicle. Proc. Instn Mech. Engrs, Part D: J. Automobile Engineering, 2002, 216(11), 855-864.
15. Wu, H. X., Cheng, S. K., and Cui, Sh. M. A controller of brushless DC motor for electric vehicle. IEEE Trans. Magnetics, 2005, 41(1), 509-513.
16. Khatun, P., Bingham, C. M., Schofield, N., and Mella, P. H. Application of fuzzy control algorithm for electric vehicle antilock braking/traction control systems. IEEE Trans. Vehicular Technol., 2003, 52(5), 1356-1364.
17. Chung, S. K. Robust speed control of brushless direct-drive motor using integral variable structure control. IEE Proc., Electric Power Applic., 1995, 142(6), 361-370.
18. Cholula, S., Claudio, A., and Ruiz, J. Intelligent control of the regenerative braking in an induction motor drive. In Proceedings of the IEEE International Conference on Electrical and electronics engineering (ICEEE'05), Mexico City, Mexico, 2005, pp. 302-308 (IEEE, New York).
19. Lennon, W. K. and Passino, K. M. Intelligent control for brake systems. IEEE Trans. Control System Technol., 1999, 7(3), 188-202.
20. ∞ control problems. IEEE Trans. Autom. Control, 1989, 34(8), 831-847.
21. Glover, K. and Mcfarlane, D. Robust stabilization of normalized coprime factor plant descriptions with H∞ bounded uncertainty. IEEE Trans. Autom. Control, 1989, 34(8), 821-830.
22. Lee, J. and Nelson, D. J. Rotating inertia impact on propulsion and regenerative braking for electric motor driven vehicles. In Proceedings of the IEEE Vehicle Power and Propulsion Conference (VPPC'05), Chicago, Illinois, USA, 2005, pp. 308-314 (IEEE, New York).
23. Garicchi, F., Crescimbini, G., Noia, D., and Pirolo, D. Experimental study of a bidirectional DC-DC converter for the DC link voltage control and regenerative braking in PM motor drives devoted to electrical vehicles. In Proceedings of the Ninth IEEE Applied Power Electronics Conference and Exposition (XPEC'94), Orlando, Florida, USA, 13-17 February 1994, vol. 1, pp. 381-386 (IEEE, New York).
24. Paolo, M., Leopolde, R., and Giorgio, S. Small-signal analysis of DC-DC converters with sliding mode control. IEEE Trans. Power Electron., 1997, 12(1), 96-102.
25. Jesus, L. R. and Jorge, A. M.-S. Uncertainty models for switch-mode DC-DC converters. IEEE Trans. Circuits Systems, 2000, 47(2), 200-203.
26. Yu, L. Robust control - LMI treatment method (in Chinese), 2002, pp. 86-91 (Tsinghua Publishing House, Beijing).
27. Bai, Z. F. Simulation on H∞ robust control for regenerative braking of an electric vehicle (in Chinese). J. System Simulation, 2005, 17(12), 2975-2978.