Power management and economic estimation of fuel cell hybrid vehicle using fuzzy logic

Author

Li, Xiangjun ; Li, Jianqiu ; Xu, Liangfei ; Ouyang, Minggao

Author_Institution

State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China

fYear

2009

fDate

7-10 Sept. 2009

Firstpage

1749

Lastpage

1754

Abstract

Fuel cell hybrid vehicles (FCHVs) have been attracting a lot of attention as well as electric vehicles (EVs) and various hybrid electric vehicles (HEVs) for environmental issues and energy crises. One of the advantages of using foregoing vehicles is saving energy during electric motor´s braking regeneration. In this paper, a fuzzy logic based power management strategy considering a regenerative braking control of the electric motor is presented for proton exchange membrane (PEM) fuel cell and Nickel-Metal Hydride (Ni-MH) battery hybrid vehicular power system. The fuel economic of the FCHV is estimated by analyzing the fuel consumption of hydrogen usages. Simulation results show that the fuel economic is improved by using the proposed fuzzy logic controller for regenerative braking management.

Keywords

environmental factors; fuel cell vehicles; fuel economy; fuzzy logic; hybrid electric vehicles; proton exchange membrane fuel cells; regenerative braking; Nickel-Metal Hydride battery; economic estimation; electric motor; energy crises; environmental issues; fuel cell hybrid vehicle; fuzzy logic; power management; proton exchange membrane fuel cell; regenerative braking control; Crisis management; Energy management; Environmental economics; Fuel cell vehicles; Fuel cells; Fuel economy; Fuzzy logic; Hybrid electric vehicles; Power generation economics; Power system management; battery; economic estimation; fuel cell hybrid vehicle; fuzzy logic controller; hydrogen utilization; regenerative braking;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE

Conference_Location

Dearborn, MI

Print_ISBN

978-1-4244-2600-3

Electronic_ISBN

978-1-4244-2601-0

Type

conf

DOI

10.1109/VPPC.2009.5289696

Filename

5289696