DocumentCode
1613137
Title
The Research of Energy Management Strategy for Fuel Cell Hybrid Vehicle
Author
Duo Xiao ; Qiuting Wang
Author_Institution
Dept. of Inf. & Electr. Eng., Zhejiang Univ. City Coll., Hangzhou, China
fYear
2012
Firstpage
931
Lastpage
934
Abstract
The vehicle energy management strategy is optimized according to the characteristics of fuel cell hybrid vehicle system. In our study, a real-time power control algorithm for hybrid system based on fuzzy-control theory is proposed. The variables of this algorithm are set as follows: the state of charge (SOC) of lithium-ion battery and the vehicle power demand are set as input variables, while the provide power of fuel cell, provided power of lithium-ion battery and the recovery power of braking energy are set as the output variables. This new method has been applied to the hardware platform to obtain the simulation results, and a vehicle controller prototype was designed. The experimental results and the test results of the prototype indicate that: our new algorithm can make the vehicle power efficiency up to 50% or more, while make the fuel cell and the lithium-ion batteries work in the best condition.
Keywords
braking; energy management systems; fuel cell vehicles; fuzzy control; hybrid electric vehicles; power control; real-time systems; secondary cells; SOC; braking energy recovery power; fuel cell hybrid vehicle system; fuel cell power; fuzzy control theory; hardware platform; lithium-ion battery; real-time power control algorithm; state of charge; vehicle controller prototype design; vehicle energy management strategy; vehicle power demand; Algorithm design and analysis; Batteries; Energy management; Fuel cells; Hybrid power systems; System-on-a-chip; Vehicles; SOC; fuel cell; fuzzy-control theory; ithium-ion battery;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.247
Filename
6322536
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