Improvement of Energy management Algorithm for Fuel Cell Electrical Vehicle with Fuzzy Logic

被引:0
作者
Marzougui, Hajer [1 ]
Kadri, Ameni [1 ]
Amari, Mansour [1 ]
Bacha, Faouzi [1 ]
机构
[1] Univ Carthage, INSAT, Comp Lab Ind Syst, BP 676, Tunis 1080, Tunisia
来源
2017 18TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA) | 2017年
关键词
Hybrid vehicle; Fuel cell; Hydrogen; Supercapacitor; Energy management; SYSTEM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To meet increasing demands for fuel, alternative vehicles have been developed recently. Electrical hybrid vehicles are one of these alternatives and an important part of them is their energy storage systems which are used to relieve the main source which is generally a fuel cell. To ensure energy storage, the supercapacitor is considered as an interesting device because of its high power density compared to batteries. The hybridization of the main source with another source like energy storage device allows to improve the dynamic response, especially, during transient states. However, it will be necessary to apply an energy management strategy to share the energy flow between sources responding to load demand. Besides, the proposed energy management algorithm must allow us to ensure optimum hydrogen consumption. In this context, this paper deals with two energy management strategies, the first is based on some rules, the second is based on fuzzy logic. Simulation results under Matlab-Simulink environment prove the efficiency of the proposed strategies.
引用
收藏
页码:212 / 217
页数:6
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