@article{(Open Science Index):https://publications.waset.org/pdf/15912,
	  title     = {Evaluation of Model and Performance of Fuel Cell Hybrid Electric Vehicle in Different Drive Cycles},
	  author    = {Fathollah Ommi and  Golnaz Pourabedin and  Koros Nekofa},
	  country	= {},
	  institution	= {},
	  abstract     = {In recent years fuel cell vehicles are rapidly appearing
all over the globe. In less than 10 years, fuel cell vehicles have gone
from mere research novelties to operating prototypes and demonstration
models. At the same time, government and industry in development
countries have teamed up to invest billions of dollars in partnerships
intended to commercialize fuel cell vehicles within the early
years of the 21st century.
The purpose of this study is evaluation of model and performance
of fuel cell hybrid electric vehicle in different drive cycles. A fuel
cell system model developed in this work is a semi-experimental
model that allows users to use the theory and experimental relationships
in a fuel cell system. The model can be used as part of a complex
fuel cell vehicle model in advanced vehicle simulator (ADVISOR).
This work reveals that the fuel consumption and energy efficiency
vary in different drive cycles. Arising acceleration and speed in a
drive cycle leads to Fuel consumption increase. In addition, energy
losses in drive cycle relates to fuel cell system power request. Parasitic
power in different parts of fuel cell system will increase when
power request increases. Finally, most of energy losses in drive cycle
occur in fuel cell system because of producing a lot of energy by fuel
cell stack.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {3},
	  number    = {2},
	  year      = {2009},
	  pages     = {184 - 190},
	  ee        = {https://publications.waset.org/pdf/15912},
	  url   	= {https://publications.waset.org/vol/26},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 26, 2009},
	}