期刊
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 40, 期 36, 页码 12512-12521出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2015.06.160
关键词
Energy management strategy; Fuel cell hybrid vehicle; Fuzzy logic control; Genetic algorithm; Multiple objective optimization; Operating mode control
A power train of the fuel cell vehicles includes the battery as a secondary power source to improve the vehicle's performance. In this composition, the vehicle's performance depends largely on quality of energy management strategies (EMSs). In this paper, two EMSs are introduced to control the energy in the fuel cell hybrid vehicle (FCHV). These are: fuzzy logic control (FLC) and operating mode control (OMC). Genetic algorithm (GA) is implemented to optimize these strategies by off-line simulation through a combined driving cycle. Comparison of these control methods with other approaches like EMS of advanced vehicle simulator (ADVISOR) software and non-optimized control strategies, demonstrate the superiority of optimized strategies regarding to equivalent energy consumption, energy efficiency, and state-of-charge (SOC) variation. Copyright (C) 2015, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
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