| ENERGY MANAGEMENT STRATEGY OF FUEL CELL/BATTERY
HYBRID VEHICLE BASED ON SERIES FUZZY CONTROL |
| Hekun Jia1, Jiexu Tang1, Yingxiao Yu1, Yan Sun1, Bifeng Yin1, Chao Zhang2 |
1Jiangsu University
2Foresight Energy Co., Ltd. |
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| ABSTRACT |
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Fuel cell durability and vehicle operating cost are the main optimization goals of energy management strategy
(EMS) for fuel cell hybrid electric vehicles (FCHEV). In this paper, a series fuzzy control strategy (SFCS) is proposed to
decrease the load changing rate of fuel cell system (FCs). The test bench is used to obtain the output characteristics and load
changing capacity of FCs. In order to increase the driving mileage and to eliminate the uncertainty of manual experience in
fuzzy controller, particle swarm optimization (PSO) is used to optimize the subjection function distribution and rule weights of
fuzzy control, and the evaluation function is constructed by operating cost. Based on the experiment data of FC and battery, the
model of the vehicle and strategy are constructed in the software environment, and the optimization result is obtained through
simulation. The results show that the FCs load changing rate is reduced and limited to the range of change capacity through the
SFCS, while the durability of the fuel cell is optimized. The SFCS optimized by PSO (PSFCS) increases the driving mileage.
Under WLTC and UDDS conditions, mileage has been increased by 11.2 % and 8.79 % respectively. |
| Key Words:
FCHEV, Energy management strategy, Series Fuzzy control, PSO, Fuel cell durability |
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Corresponding Author.
Yingxiao Yu , Email. 
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