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author:

Cui, P. (Cui, P..) [1] | Ding, A. (Ding, A..) [2] | Shen, Y. (Shen, Y..) [3] | Wang, Y.-X. (Wang, Y.-X..) [4]

Indexed by:

Scopus

Abstract:

In this work, a fuzzy logic control-based energy management strategy is proposed for a fuel cell (FC)/battery hybrid electric vehicle. The model of the proposed hybrid power system is developed in the environment of MATLAB/Simulink. An energy management according to fuzzy rules is designed to regulate FC working in the high efficiency area and protect it from suffering rapidly changing of load power. The reference power of FC is determined in real-time by accumulating its power increment which performs FC power changing from one operating point to another within the high efficiency area limiting by the maximum power slope. The proposed control effect is compared with a simple logic control strategy in New Europe Driving Cycle (NEDC). © 2019 IEEE.

Keyword:

efficiency improvement; fuel cell vehicle; fuzzy logic control; hybrid power system; power slope limitation

Community:

  • [ 1 ] [Cui, P.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Ding, A.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Shen, Y.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Wang, Y.-X.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Wang, Y.-X.]School of Mechanical Engineering and Automation, Fuzhou UniversityChina

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Source :

2019 3rd IEEE International Conference on Green Energy and Applications, ICGEA 2019

Year: 2019

Page: 132-135

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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