A Novel Methodology Proposed for Optimizing the Degree of Hybridization in Parallel HEVs using Genetic Algorithm
In this paper, a new Genetic Algorithm (GA) based
methodology is proposed to optimize the Degree of Hybridization
(DOH) in a passenger parallel hybrid car. At first step, target
parameters for the vehicle are decided and then using ADvanced
VehIcle SimulatOR (ADVISOR) software, the variation pattern of
these target parameters, across the different DOHs, is extracted. At
the next step, a suitable cost function is defined and is optimized
using GA. In this paper, also a new technique has been proposed for
deciding the number of battery modules for each DOH, which leads
to a great improvement in the vehicle performance. The proposed
methodology is so simple, fast and at the same time, so efficient.
[1] I. J. Albert, E. Kahrimanovic, and A. Emadi, "Disel Sport Utility
Vehicles With Hybrid Electric Drive Trains," Vhicular Technology,
IEEE Transactions on., vol. 53, No. 4 pp. 1247-1256, July 2004.
[2] S. M. Lukic and A. Emadi, "Effects of Drivetrain Hybridization on Fuel
Economy and Dynamic Performance of Parallel Hybrid Electric
Vehicles," Vhicular Technology, IEEE Transactions on., vol. 53, No. 2
pp. 385-389, March 2004.
[3] B. M. Baumann, G. Washington, B. C. Glenn and G. Rizzoni,
"Mechatronic Design and Control of Hybrid Electric Vehicles,"
Mechatronics, IEEE/ASME Transactions on, vol. 5, No. 1 pp. 58-72,
March 2000.
[4] D. Buecherl, I. Bolvashenkov and H. -G. Herzog, "Verification of the
Optimum Hybridization Factor as Design Parameter of Hybrid Electric
Vehicles," Vehicle Power and Propulsion Conference, 2009. VPPC-09.
IEEE, pp. 847-851.
[5] C. Holder and J. Gover, "Optimizing the Hybridization Factor for a
Parallel Hybrid Electric Small Car," Vehicle Power and Propulsion
Conference, 2006. VPPC'06. IEEE, pp. 1-5.
[6] D.E. Goldberg, Genetic Algorithms in Search, Optimization & Machine
Learning, Addison Wesley, 1989.
[7] www.pngv.org
[1] I. J. Albert, E. Kahrimanovic, and A. Emadi, "Disel Sport Utility
Vehicles With Hybrid Electric Drive Trains," Vhicular Technology,
IEEE Transactions on., vol. 53, No. 4 pp. 1247-1256, July 2004.
[2] S. M. Lukic and A. Emadi, "Effects of Drivetrain Hybridization on Fuel
Economy and Dynamic Performance of Parallel Hybrid Electric
Vehicles," Vhicular Technology, IEEE Transactions on., vol. 53, No. 2
pp. 385-389, March 2004.
[3] B. M. Baumann, G. Washington, B. C. Glenn and G. Rizzoni,
"Mechatronic Design and Control of Hybrid Electric Vehicles,"
Mechatronics, IEEE/ASME Transactions on, vol. 5, No. 1 pp. 58-72,
March 2000.
[4] D. Buecherl, I. Bolvashenkov and H. -G. Herzog, "Verification of the
Optimum Hybridization Factor as Design Parameter of Hybrid Electric
Vehicles," Vehicle Power and Propulsion Conference, 2009. VPPC-09.
IEEE, pp. 847-851.
[5] C. Holder and J. Gover, "Optimizing the Hybridization Factor for a
Parallel Hybrid Electric Small Car," Vehicle Power and Propulsion
Conference, 2006. VPPC'06. IEEE, pp. 1-5.
[6] D.E. Goldberg, Genetic Algorithms in Search, Optimization & Machine
Learning, Addison Wesley, 1989.
[7] www.pngv.org
@article{"International Journal of Information, Control and Computer Sciences:50372", author = "K. Varesi and A. Radan", title = "A Novel Methodology Proposed for Optimizing the Degree of Hybridization in Parallel HEVs using Genetic Algorithm", abstract = "In this paper, a new Genetic Algorithm (GA) based
methodology is proposed to optimize the Degree of Hybridization
(DOH) in a passenger parallel hybrid car. At first step, target
parameters for the vehicle are decided and then using ADvanced
VehIcle SimulatOR (ADVISOR) software, the variation pattern of
these target parameters, across the different DOHs, is extracted. At
the next step, a suitable cost function is defined and is optimized
using GA. In this paper, also a new technique has been proposed for
deciding the number of battery modules for each DOH, which leads
to a great improvement in the vehicle performance. The proposed
methodology is so simple, fast and at the same time, so efficient.", keywords = "Degree of Hybridization (DOH), Electric Motor,Emissions, Fuel Economy, Genetic Algorithm (GA), Hybrid ElectricVehicle (HEV), Vehicle Performance", volume = "5", number = "8", pages = "820-6", }