Hybrid Vehicle (City Bus) Optimal Power Management for Fuel Economy Benchmarking

Boukehili Adel, Youtong Zhang, Chengqun Ni, Jutang Wei

.
Low Emission Vehicle Research Laboratory, Beijing Institute of Technology, Beijing, China..

DOI: 10.4236/lce.2013.41005                

Abstract

In this paper a global optimization method (dynamic programming) is used to find the optimal power management in hybrid electric city bus for the objective to reduce the fuel consumption. Knowing that when using a global optimization method the results cannot be used in real-time control; because we need to know the entire vehicle speed in advance to perform the optimization, but in spite of that this method is very useful to make a benchmark for hybrid electric city buses fuel economy and to judge the effectiveness and improve real-time control strategies. Finally results of optimal power management are shown and discussed.

Keywords

Hybrid Vehicle; Power Management; Fuel Economy; Optimization; Dynamic Programming

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	B. Adel, Y. T. Zhang and S. Sun, “Parallel HEV Controller Modeling for Power Management,” The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Shenzhen, 5-9 November 2010.
[2]	L. Majdi, A. Ghaffari and N. Fatehi, “Control Strategy in Hybrid Electric Vehicle using Fuzzy Logic Controller,” IEEE Proceedings of the International Conference on Robotics and Biomimetics, Guilin, 19-23 December 2009.
[3]	N. J. Schouten, M. A. Salman and N. A. Kheir, “Fuzzy Logic Control for Parallel Hybrid Vehicles,” IEEE Transactions on Control Systems Technology, Vol. 10, No. 3, 2002.
[4]	J. Moreno, M. E. Ortuzar and J. W. Dixon, “Energy-Management System for a Hybrid Electric Vehicle, Using Ultracapacitors and Neural Networks,” IEEE Transactions on Industrial Electronics, Vol. 53, No. 2, 2006, pp. 614-623. doi:10.1109/TIE.2006.870880
[5]	S. Delprat, J. Lauber, T. M. Guerra and J. Rimaux, “Control of a Parallel Hybrid Powertrain: Optimal Control,” IEEE Transactions on Vehicular Technology, Vol. 53, No. 3, 2004, pp. 872-881. doi:10.1109/TVT.2004.827161
[6]	A. Sciarretta, M. Back and L. Guzzella, “Optimal Control of Parallel Hybrid Electric Vehicles,” IEEE Transactions on Control Systems Technology, Vol. 12, No. 3, 2004, pp. 352-363. doi:10.1109/ TCST.2004.824312
[7]	L. V. Perez, G. R. Bossio, D. Moitre and G. O. Garcia, “Optimization of Power Management in a Hybrid Electric Vehicle Using Dynamic Programming,” Mathematics and Computers in Simulation, Vol. 73, No. 1-4, 2006, pp. 244-254. doi:10.1016/j.matcom.2006.06.016
[8]	A. Brahma, Y. Guezennec and G. Rizzoni, “Dynamic Optimization of Mechanical Electrical Power Flow in Parallel Hybrid Electric Vehicles,” Proceedings of the 5th International Symposium Advanced Vehicle Control, Ann Arbor, 22-24 August 2000.
[9]	C.-C. Lin, J. Kang, J. W. Grizzle and H. Peng, “Energy Management Strategy for a Parallel Hybrid Electric Truck,” Proceedings of American Control Conference, Arlington, June 2001, pp. 2878-2883.
[10]	C.-C. Lin, J.-M. Kang, J. W. Grizzle and H. Peng, “Energy Management Strategy for a Parallel Hybrid Electric Truck,” American Control Conference, 2001.